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The dataset generation failed because of a cast error
Error code: DatasetGenerationCastError
Exception: DatasetGenerationCastError
Message: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 5 new columns ({'doi', 'abstract', 'year', 'labels', 'title'}) and 9 missing columns ({'recordSet', '@id', 'description', 'license', 'name', '@context', 'url', 'distribution', '@type'}).
This happened while the json dataset builder was generating data using
hf://datasets/nasa-gesdisc/es-publications-researchareas/publications_researchareas.json (at revision 002f46582ab454ca27ddea57da3e2787644f03a0)
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback: Traceback (most recent call last):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2013, in _prepare_split_single
writer.write_table(table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 585, in write_table
pa_table = table_cast(pa_table, self._schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2302, in table_cast
return cast_table_to_schema(table, schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2256, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
doi: string
year: int64
title: string
abstract: string
labels: list<item: struct<id: int64, name: string>>
child 0, item: struct<id: int64, name: string>
child 0, id: int64
child 1, name: string
-- schema metadata --
pandas: '{"index_columns": [], "column_indexes": [], "columns": [{"name":' + 665
to
{'@context': Value(dtype='string', id=None), '@type': Value(dtype='string', id=None), '@id': Value(dtype='string', id=None), 'name': Value(dtype='string', id=None), 'description': Value(dtype='string', id=None), 'license': Value(dtype='string', id=None), 'url': Value(dtype='string', id=None), 'distribution': [{'@type': Value(dtype='string', id=None), '@id': Value(dtype='string', id=None), 'name': Value(dtype='string', id=None), 'contentUrl': Value(dtype='string', id=None), 'encodingFormat': Value(dtype='string', id=None), 'sha256': Value(dtype='string', id=None)}], 'recordSet': [{'@type': Value(dtype='string', id=None), 'name': Value(dtype='string', id=None), 'description': Value(dtype='string', id=None), 'field': [{'@type': Value(dtype='string', id=None), 'name': Value(dtype='string', id=None), 'description': Value(dtype='string', id=None), 'dataType': Value(dtype='string', id=None), '@id': Value(dtype='string', id=None)}], 'dataType': Value(dtype='string', id=None), 'key': {'@id': Value(dtype='string', id=None)}, 'data': [{'research_areas/id': Value(dtype='int64', id=None), 'research_areas/name': Value(dtype='string', id=None)}]}]}
because column names don't match
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1396, in compute_config_parquet_and_info_response
parquet_operations = convert_to_parquet(builder)
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1045, in convert_to_parquet
builder.download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1029, in download_and_prepare
self._download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1124, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1884, in _prepare_split
for job_id, done, content in self._prepare_split_single(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2015, in _prepare_split_single
raise DatasetGenerationCastError.from_cast_error(
datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 5 new columns ({'doi', 'abstract', 'year', 'labels', 'title'}) and 9 missing columns ({'recordSet', '@id', 'description', 'license', 'name', '@context', 'url', 'distribution', '@type'}).
This happened while the json dataset builder was generating data using
hf://datasets/nasa-gesdisc/es-publications-researchareas/publications_researchareas.json (at revision 002f46582ab454ca27ddea57da3e2787644f03a0)
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
@context string | @type string | @id string | name string | description string | license string | url string | distribution list | recordSet list | doi string | year int64 | title string | abstract string | labels list |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
https://mlcommons.org/croissant/v1 | sc:Dataset | doi:10.57967/hf/2914 | NASA GESDISC Earth Science Publications by Research Areas | This dataset contains scientific publications that cite datasets from NASA's Goddard Earth Sciences Data and Information Services Center (GES-DISC). Each publication is tagged with one or more Earth science research areas, covering various topics like Atmospheric Composition, Water & Energy Cycles, Climate Variability,... | https://www.apache.org/licenses/LICENSE-2.0 | https://huggingface.co/datasets/nasa-gesdisc/es-publications-researchareas | [
{
"@type": "cr:FileObject",
"@id": "publications_researchareas.json",
"name": "publications_researchareas.json",
"contentUrl": "https://huggingface.co/datasets/nasa-gesdisc/es-publications-researchareas/blob/main/publications_researchareas.json",
"encodingFormat": "application/json",
"sha256... | [
{
"@type": "cr:RecordSet",
"name": "publications",
"description": "A record of scientific publications and their associated research areas.",
"field": [
{
"@type": "cr:Field",
"name": "doi",
"description": "Digital Object Identifier of the publication.",
"dataTy... | null | null | null | null | null |
null | null | null | null | null | null | null | null | null | 10.3389/FRSEN.2021.748362 | 2,021 | Atmospheric Correction of DSCOVR EPIC: Version 2 MAIAC Algorithm | The Earth Polychromatic Imaging Camera (EPIC) onboard the Deep Space Climate Observatory (DSCOVR) provides multispectral images of the sunlit disk of Earth since 2015 from the L1 orbit, approximately 1.5 million km from Earth toward the Sun. The NASAs Multi-Angle Implementation of Atmospheric Correction (MAIAC) algorit... | [
{
"id": 17,
"name": "Validation"
}
] |
null | null | null | null | null | null | null | null | null | 10.1029/2021WR030612 | 2,022 | A Bayesian Fuzzy Clustering Approach for Design of Precipitation Gauge Network Using Merged Remote Sensing and Ground‐based Precipitation Products | A two-level clustering approach is proposed for optimal design/expansion of a ground-based precipitation monitoring network (GPN). It harnesses the advantages of Infinite Bayesian fuzzy clustering in the first level to partition the study area into homogeneous precipitation zones by considering structural/statistical c... | [
{
"id": 17,
"name": "Validation"
}
] |
null | null | null | null | null | null | null | null | null | 10.1175/JTECH-D-20-0005.1 | 2,020 | The RELAMPAGO lightning mapping array: Overview and initial comparison with the geostationary lightning mapper | Abstract During November 2018April 2019, an 11-station very high frequency (VHF) Lightning Mapping Array (LMA) was deployed to Cordoba Province, Argentina. The purpose of the LMA was validation of the Geostationary Lightning Mapper (GLM), but the deployment was coordinated with two field campaigns. The LMA observed 2.9... | [
{
"id": 17,
"name": "Validation"
}
] |
null | null | null | null | null | null | null | null | null | 10.1029/2019MS001916 | 2,020 | The Community Earth System Model Version 2 (CESM2) | An overview of the Community Earth System Model Version 2 (CESM2) is provided, including a discussion of the challenges encountered during its development and how they were addressed. In addition, an evaluation of a pair of CESM2 long preindustrial control and historical ensemble simulations is presented. These simulat... | [
{
"id": 17,
"name": "Validation"
}
] |
null | null | null | null | null | null | null | null | null | 10.2151/SOLA.2022-025 | 2,022 | Diurnal Variation of Surface Wind Divergence in the Maritime Continent Using ASCAT and SeaWinds Observations and ERA5 Reanalysis Data | This study investigates the diurnal variation of surface wind divergence in the seas of the Maritime Continent by using satellite scatterometer observations and atmospheric reanalysis data. This is the first study to demonstrate the distribution and seasonal variation of the diurnally varying surface winds in the Marit... | [
{
"id": 2,
"name": "Atmospheric/Ocean Indicators"
}
] |
null | null | null | null | null | null | null | null | null | 10.1016/J.OCEMOD.2021.101850 | 2,021 | Blending drifters and altimetric data to estimate surface currents: Application in the Levantine Mediterranean and objective validation with different data types | An improved estimation of the surface currents in the Levantine Basin of the Mediterranean sea is crucial for a wide range of applications, including pollutants transport and nutrients distribution. This estimation remains challenging due to the scarcity or shortcomings of various data types used for this purpose. In t... | [
{
"id": 17,
"name": "Validation"
}
] |
null | null | null | null | null | null | null | null | null | 10.1016/J.JAG.2021.102307 | 2,021 | Combining simulated hyperspectral EnMAP and Landsat time series for forest aboveground biomass mapping | Forest aboveground biomass (AGB) is a critical measure of ecosystem structure and plays a key role in global carbon cycling. Due to its widespread availability, optical remotely sensed data are key for regional- and global-scale AGB assessment, and with the planned and recent launches of spaceborne imaging spectroscopy... | [
{
"id": 13,
"name": "Land Surface/Agriculture Indicators"
},
{
"id": 17,
"name": "Validation"
}
] |
null | null | null | null | null | null | null | null | null | 10.1016/J.ATMOSENV.2020.118160 | 2,021 | Towards a regional dust modeling system in the central Middle East: Evaluation, uncertainties and recommendations | This study aims towards an accurate regional dust modeling system in the central Middle East area (CME), through the implementation of the state-of-art dust parameterizations. The modeling system consists of the natural emission model NEMO, the meteorological model WRF and the chemistry transport model CAMx. An extensi... | [
{
"id": 1,
"name": "Air Quality"
},
{
"id": 17,
"name": "Validation"
}
] |
null | null | null | null | null | null | null | null | null | 10.1016/J.JHYDROL.2020.125186 | 2,020 | A unified framework of water balance models for monthly, annual, and mean annual timescales | At present, many conceptual water balance models have been proposed on monthly, annual, and mean annual timescales. With the increasing applications of these models, an emerging question is whether the water balance models on different timescales have some commonalities and can be integrated. To this end, this study es... | [
{
"id": 13,
"name": "Land Surface/Agriculture Indicators"
},
{
"id": 17,
"name": "Validation"
}
] |
null | null | null | null | null | null | null | null | null | 10.1029/2018GL080976 | 2,018 | Lake level and surface topography measured with spaceborne GNSS‐reflectometry from CYGNSS mission: Example for the lake Qinghai | This paper demonstrates inland water altimetry of spaceborne Global Navigation Satellite System-Reflectometry (GNSS-R) using the Cyclone GNSS (CYGNSS) mission data. From 12 tracks of raw data overpassing the Lake Qinghai, the bistatic group delay and carrier phase delay are extracted from the quasi-specular GNSS reflec... | [
{
"id": 17,
"name": "Validation"
}
] |
null | null | null | null | null | null | null | null | null | 10.1016/J.RSE.2018.12.031 | 2,019 | Coupled estimation of 500 m and 8-day resolution global evapotranspiration and gross primary production in 2002–2017 | Accurate quantification of terrestrial evapotranspiration (ET) is essential to understand the Earth's energy and water budgets under climate change. However, despite water and carbon cycle coupling, there are few diagnostic global evapotranspiration models that have complete carbon constraint on water flux run at a hig... | [
{
"id": 13,
"name": "Land Surface/Agriculture Indicators"
},
{
"id": 17,
"name": "Validation"
}
] |
null | null | null | null | null | null | null | null | null | 10.1016/J.ENVC.2021.100359 | 2,021 | A Topological Data Analysis approach for retrieving Local Climate Zones patterns in satellite data | In the context of geospatial studies, meaningful information may be hidden in the aspects of form and connectivity inscribed in the measurements. Therefore, here is proposed the use of H0 Persistent Homology (PH), a Topological Data Analysis tool to automatically summarize and quantify relevant spatial features in sate... | [
{
"id": 13,
"name": "Land Surface/Agriculture Indicators"
}
] |
null | null | null | null | null | null | null | null | null | 10.1109/LGRS.2021.3058956 | 2,022 | Monthly Surface Elevation Changes of the Greenland Ice Sheet From ICESat-1, CryoSat-2, and ICESat-2 Altimetry Missions | The Greenland Ice Sheet (GrIS) mass balance shows significant variabilities over a range of time scales. As geodetic records lengthen over time, it becomes insufficient to characterize the temporal evolution of the ice sheet by using a best-fit linear trend over a given observation period. This study investigates the j... | [
{
"id": 3,
"name": "Cryospheric Indicators"
},
{
"id": 17,
"name": "Validation"
}
] |
null | null | null | null | null | null | null | null | null | 10.5194/ACP-19-3307-2019 | 2,019 | Multi-satellite retrieval of single scattering albedo using the OMI–MODIS algorithm | Abstract. Single scattering albedo (SSA) represents a unique identification of aerosol type and can be a determinant factor in the estimation of aerosol radiative forcing. However, SSA retrievals are highly uncertain due to cloud contamination and aerosol composition. The recent improvement in the SSA retrieval algorit... | [
{
"id": 17,
"name": "Validation"
}
] |
null | null | null | null | null | null | null | null | null | 10.1016/J.JAFREARSCI.2021.104377 | 2,021 | Estimating gravity field and quasi-geoid in Cameroon (CGM20) | In this paper, the computation of the new gravimetric quasi-geoid of Cameroon based on some recent global geopotential models and a detailed Digital Terrain Model (DTM) of the area is presented. Besides gravity data supplied by the Bureau Gravimetrique International (BGI) new data have been collected by the National In... | [
{
"id": 17,
"name": "Validation"
}
] |
null | null | null | null | null | null | null | null | null | 10.1016/J.RSE.2020.112191 | 2,021 | Remotely sensed ensembles of the terrestrial water budget over major global river basins: An assessment of three closure techniques | Remote sensing is a useful tool for observing the water cycle. However, combining remote sensing products over any major river basin will result in a residual error in the overall water balance. Previous studies have either quantified this error without correcting it, or have merged observations together with land surf... | [
{
"id": 13,
"name": "Land Surface/Agriculture Indicators"
},
{
"id": 17,
"name": "Validation"
}
] |
null | null | null | null | null | null | null | null | null | 10.1029/2019JD030911 | 2,020 | Fifty Years of Research on the MaddenJulian Oscillation: Recent Progress, Challenges, and Perspectives | Since its discovery in the early 1970s, the crucial role of the Madden-Julian Oscillation (MJO) in the global hydrological cycle and its tremendous influence on high-impact climate and weather extremes have been well recognized. The MJO also serves as a primary source of predictability for global Earth system variabili... | [
{
"id": 2,
"name": "Atmospheric/Ocean Indicators"
}
] |
null | null | null | null | null | null | null | null | null | 10.1080/2150704X.2019.1602790 | 2,019 | Statistical and visual quality assessment of nearly-global and continental digital elevation models of Trentino, Italy | Nearly-global digital elevation models (DEMs) Shuttle Radar Topography Mission DEM (SRTM1 DEM), Advanced Spaceborne Thermal Emission and Reflection Radiometer Global DEM (ASTER GDEM), and Advanced Land Observing Satellite World 3D digital surface model (AW3D30 DSM) are widely used in geosciences. A nearly-continental... | [
{
"id": 17,
"name": "Validation"
}
] |
null | null | null | null | null | null | null | null | null | 10.5194/ACP-17-11541-2017 | 2,017 | Reanalysis comparisons of upper troposphericlower stratospheric jets and multiple tropopauses | Abstract. The representation of upper troposphericlower stratospheric (UTLS) jet and tropopause characteristics is compared in five modern high-resolution reanalyses for 1980 through 2014. Climatologies of upper tropospheric jet, subvortex jet (the lowermost part of the stratospheric vortex), and multiple tropopause fr... | [
{
"id": 17,
"name": "Validation"
}
] |
null | null | null | null | null | null | null | null | null | 10.5334/DSJ-2017-004 | 2,017 | Enhancing interoperability and capabilities of earth science data using the Observations Data Model 2 (ODM2) | Earth Science researchers require access to integrated, cross-disciplinary data in order to answer critical research questions. Partially due to these science drivers, it is common for disciplinary data systems to expand from their original scope in order to accommodate collaborative research. The result is multiple di... | [
{
"id": 17,
"name": "Validation"
}
] |
null | null | null | null | null | null | null | null | null | 10.1175/JTECH-D-14-00080.1 | 2,015 | An improved near-surface specific humidity and air temperature climatology for the SSM/I satellite period | Abstract A near-surface specific humidity (Qa) and air temperature (Ta) climatology on daily and 0.25 grids was constructed by the objectively analyzed airsea fluxes (OAFlux) project by objectively merging two recent satellite-derived high-resolution analyses, the OAFlux existing 1 analysis, and atmospheric reanalyses.... | [
{
"id": 17,
"name": "Validation"
}
] |
null | null | null | null | null | null | null | null | null | 10.5194/ESSD-12-647-2020 | 2,020 | A Fundamental Climate Data Record of SMMR, SSM/I, and SSMIS brightness temperatures | Abstract. The Fundamental Climate Data Record (FCDR) of Microwave Imager Radiances from the Satellite Application Facility on Climate Monitoring (CM SAF)
comprises inter-calibrated and homogenized brightness temperatures from the Scanning Multichannel Microwave Radiometer (SMMR), the Special Sensor
Microwave/Imager (SS... | [
{
"id": 17,
"name": "Validation"
}
] |
null | null | null | null | null | null | null | null | null | 10.5194/AMT-8-4561-2015 | 2,015 | Quality assessment and improvement of the EUMETSAT Meteosat surface albedo climate data record | Abstract. Surface albedo has been identified as an important parameter for understanding and quantifying the Earth's radiation budget. EUMETSAT generated the Meteosat Surface Albedo (MSA) Climate Data Record (CDR) currently comprising up to 24 years (19822006) of continuous surface albedo coverage for large areas of th... | [
{
"id": 17,
"name": "Validation"
}
] |
null | null | null | null | null | null | null | null | null | 10.3390/RS12233930 | 2,020 | Variational Retrievals of High Winds Using Uncalibrated CyGNSS | This study presents a new retrieval approach for obtaining wind speeds from CyGNSS level-1 observables. Unlike other existing approaches, (1) this one is a variational technique that is based on a physical forward model, (2) it uses uncalibrated bin raw counts observables, (3) the geophysical information content comes ... | [
{
"id": 17,
"name": "Validation"
}
] |
null | null | null | null | null | null | null | null | null | 10.1002/2016GL068462 | 2,016 | Skill improvement of dynamical seasonal Arctic sea ice forecasts | We explore the error and improve the skill of the outcome from dynamical seasonal Arctic sea ice reforecasts using different bias correction and ensemble calibration methods. These reforecasts consist of a five-member ensemble from 1979 to 2012 using the general circulation model EC-Earth. The raw model reforecasts sho... | [
{
"id": 17,
"name": "Validation"
}
] |
null | null | null | null | null | null | null | null | null | 10.3390/RS14030497 | 2,022 | Ancillary Data Uncertainties within the SeaDAS Uncertainty Budget for Ocean Colour Retrievals | Atmospheric corrections introduce uncertainties in bottom-of-atmosphere Ocean Colour (OC) products. In this paper, we analyse the uncertainty budget of the SeaDAS atmospheric correction algorithm. A metrological approach is followed, where each of the error sources are identified in an uncertainty tree diagram and brie... | [
{
"id": 17,
"name": "Validation"
}
] |
null | null | null | null | null | null | null | null | null | 10.5194/AMT-15-4063-2022 | 2,022 | On the influence of underlying elevation data on Sentinel-5 Precursor TROPOMI satellite methane retrievals over Greenland | Abstract. The Sentinel-5 Precursor (S5P) mission was launched on October 2017 and has since provided data with high spatio-temporal resolution using its remote sensing instrument, the TROPOspheric Monitoring Instrument (TROPOMI). The latter is a nadir viewing passive grating imaging spectrometer. The mathematical inver... | [
{
"id": 10,
"name": "Greenhouse Gases"
},
{
"id": 17,
"name": "Validation"
}
] |
null | null | null | null | null | null | null | null | null | 10.1029/2019JD031400 | 2,020 | Evaluation of OCO2 X Variability at Local and Synoptic Scales using Lidar and In Situ Observations from the ACTAmerica Campaigns | With nearly 1 million observations of column-mean carbon dioxide concentration (X<SUB>CO<SUB>2</SUB></SUB>) per day, the Orbiting Carbon Observatory 2 (OCO-2) presents exciting possibilities for monitoring the global carbon cycle, including the detection of subcontinental column CO<SUB>2</SUB> variations. While the OCO... | [
{
"id": 10,
"name": "Greenhouse Gases"
},
{
"id": 17,
"name": "Validation"
}
] |
null | null | null | null | null | null | null | null | null | 10.5194/AMT-15-605-2022 | 2,022 | Differential absorption lidar measurements of water vapor by the High Altitude Lidar Observatory (HALO): retrieval framework and first results | Abstract. Airborne differential absorption lidar (DIAL) offers a uniquely capable solution to the problem of measuring water vapor (WV) with high precision, accuracy, and resolution throughout the troposphere and lower stratosphere. The High Altitude Lidar Observatory (HALO) airborne WV DIAL was recently developed at N... | [
{
"id": 17,
"name": "Validation"
}
] |
null | null | null | null | null | null | null | null | null | 10.3390/RS13183581 | 2,021 | Digital elevation models: Terminology and definitions | Digital elevation models (DEMs) provide fundamental depictions of the three-dimensional shape of the Earths surface and are useful to a wide range of disciplines. Ideally, DEMs record the interface between the atmosphere and the lithosphere using a discrete two-dimensional grid, with complexities introduced by the inte... | [
{
"id": 17,
"name": "Validation"
}
] |
null | null | null | null | null | null | null | null | null | 10.1016/J.GLOENVCHA.2021.102291 | 2,021 | Scenario archetypes reveal risks and opportunities for global mountain futures | Mountain social-ecological systems (MtSES) are transforming rapidly due to changes in multiple environmental and socioeconomic drivers. However, the complexity and diversity of MtSES present challenges for local communities, researchers and decision makers seeking to anticipate change and promote action towards sustain... | [
{
"id": 13,
"name": "Land Surface/Agriculture Indicators"
}
] |
null | null | null | null | null | null | null | null | null | 10.3390/W10070901 | 2,018 | Performance assessment of MOD16 in evapotranspiration evaluation in Northwestern Mexico | Evapotranspiration (ET) is the second largest component of the water cycle in arid and semiarid environments, and, in fact, more than 60% of the precipitation on earth is returned to the atmosphere through it. MOD16 represents an operational source of ET estimates with adequate spatial resolution for several applicatio... | [
{
"id": 13,
"name": "Land Surface/Agriculture Indicators"
},
{
"id": 17,
"name": "Validation"
}
] |
null | null | null | null | null | null | null | null | null | 10.1080/01490419.2017.1333549 | 2,017 | Extension of satellite Altimetry Jason-2 sea level anomalies towards the red sea coast using polynomial harmonic techniques | Satellite altimetry data are facing big challenges near the coasts. These challenges arise due to the fundamental difficulties of correction and land contamination in the foot print, which result in rejection of these data near the coast. Several studies have been carried out to extend these data towards the coast. Ove... | [
{
"id": 17,
"name": "Validation"
}
] |
null | null | null | null | null | null | null | null | null | 10.5194/AMT-11-4273-2018 | 2,018 | Parameterizing cloud top effective radii from satellite retrieved values, accounting for vertical photon transport: quantification and correction of the resulting bias in droplet concentration and liquid water path retrievals | Abstract. Droplet concentration (Nd) and liquid water path (LWP) retrievals from passive satellite retrievals of cloud optical depth () and effective radius (re) usually assume the model of an idealized cloud in which the liquid water content (LWC) increases linearly between cloud base and cloud top (i.e. at a fixed fr... | [
{
"id": 17,
"name": "Validation"
}
] |
null | null | null | null | null | null | null | null | null | 10.1609/AAAI.V34I01.5379 | 2,020 | Lightweight and robust representation of economic scales from satellite imagery | Satellite imagery has long been an attractive data source providing a wealth of information regarding human-inhabited areas. While high-resolution satellite images are rapidly becoming available, limited studies have focused on how to extract meaningful information regarding human habitation patterns and economic scale... | [
{
"id": 11,
"name": "Habitat Conversion/Fragmentation"
}
] |
null | null | null | null | null | null | null | null | null | 10.1088/1748-9326/AC4D4F | 2,022 | A 30 m global map of elevation with forests and buildings removed | Abstract
Elevation data are fundamental to many applications, especially in geosciences. The latest global elevation data contains forest and building artifacts that limit its usefulness for applications that require precise terrain heights, in particular flood simulation. Here, we use machine learning to ... | [
{
"id": 17,
"name": "Validation"
}
] |
null | null | null | null | null | null | null | null | null | 10.1002/SD.1647 | 2,017 | The Imperatives of Sustainable Development | AbstractThe United Nations sustainable development goals are under fire. By attempting to cover all that is good and desirable in society, these targets have ended up as vague, weak, or meaningless. We suggest a model for sustainable development based on three moral imperatives: satisfying human needs, ensuring social ... | [
{
"id": 11,
"name": "Habitat Conversion/Fragmentation"
}
] |
null | null | null | null | null | null | null | null | null | 10.5194/GMD-13-1999-2020 | 2,020 | The first Met Office Unified ModelJULES Regional Atmosphere and Land configuration, RAL1 | Abstract. In this paper we define the first Regional Atmosphere and Land (RAL) science configuration for kilometre-scale modelling using the Unified Model (UM) as the basis for the atmosphere and the Joint UK Land Environment Simulator (JULES) for the land. RAL1 defines the science configuration of the dynamics and phy... | [
{
"id": 17,
"name": "Validation"
}
] |
null | null | null | null | null | null | null | null | null | 10.1111/RSP3.12441 | 2,021 | Nighttimelights satellite imagery reveals hotspots of second home mobility in rural Russia (a case study of Yaroslavl Oblast) | AbstractSecond home mobility is a wellknown phenomenon in many countries, but is widely prominent in Russia, where millions of city dwellers move to rural areas during the summertime. Combating longterm economic decline and depopulation, second home mobility creates a promising opportunity to revitalize the countryside... | [
{
"id": 16,
"name": "Sun-Earth Interactions"
},
{
"id": 12,
"name": "Heat"
},
{
"id": 11,
"name": "Habitat Conversion/Fragmentation"
}
] |
null | null | null | null | null | null | null | null | null | 10.1016/J.ISPRSJPRS.2020.01.011 | 2,020 | All-sky longwave downward radiation from satellite measurements: General parameterizations based on LST, column water vapor and cloud top temperature | Remotely sensed surface longwave downward radiation (LWDR) plays an essential role in studying the surface energy budget and greenhouse effect. Most existing satellite-based methods or products depend on variables that are not readily available from space such as, liquid water path, air temperature, vapor pressure and/... | [
{
"id": 16,
"name": "Sun-Earth Interactions"
},
{
"id": 17,
"name": "Validation"
}
] |
null | null | null | null | null | null | null | null | null | 10.1016/J.AGRFORMET.2021.108806 | 2,022 | Evaluation of evapotranspiration estimation under cloud impacts over | Evapotranspiration (ET) is an important component of the hydrological cycle and energy balance in a land-atmosphere system. Satellite remote sensing has been widely used to estimate regional and global ET, but most previous methods depend on optical measurements that are limited to cloud-free conditions. This makes ET ... | [
{
"id": 13,
"name": "Land Surface/Agriculture Indicators"
}
] |
null | null | null | null | null | null | null | null | null | 10.1016/J.AGRFORMET.2013.04.003 | 2,013 | An efficient method for global parameter sensitivity analysis and its applications to the Australian community land surface model (CABLE) | State-of-the-art global land surface models (LSMs) have a large number (i.e. a few hundred) of parameters. Many of those parameters are poorly constrained and are therefore very uncertain. Usually only a few of the parameters are responsible for changes in the model output of interest. Identifying those parameters that... | [
{
"id": 17,
"name": "Validation"
}
] |
null | null | null | null | null | null | null | null | null | 10.1175/JCLI-D-18-0605.1 | 2,019 | Temperature and salinity variability in the SODA3, ECCO4r3, and ORAS5 ocean reanalyses, 1993–2015 | Abstract This study extends recent ocean reanalysis comparisons to explore improvements to several next-generation products, the Simple Ocean Data Assimilation, version 3 (SODA3); the Estimating the Circulation and Climate of the Ocean, version 4, release 3 (ECCO4r3); and the Ocean Reanalysis System 5 (ORAS5), during t... | [
{
"id": 17,
"name": "Validation"
}
] |
null | null | null | null | null | null | null | null | null | 10.5194/ACP-22-245-2022 | 2,022 | OClO as observed by TROPOMI: a comparison with meteorological parameters and polar stratospheric cloud observations | Abstract. Chlorine dioxide (OClO) is a by-product of the ozone-depleting halogen chemistry in the stratosphere. Although it is rapidly photolysed at low solar zenith angles (SZAs), it plays an important role as an indicator of the chlorine activation in polar regions during polar winter and spring at twilight condition... | [
{
"id": 1,
"name": "Air Quality"
}
] |
null | null | null | null | null | null | null | null | null | 10.5194/AMT-13-2257-2020 | 2,020 | A machine-learning-based cloud detection and thermodynamic-phase classification algorithm using passive spectral observations | Abstract. We trained two Random Forest (RF) machine learning models for cloud mask and cloud thermodynamic-phase detection using spectral observations from Visible Infrared Imaging Radiometer Suite (VIIRS) on board Suomi National Polar-orbiting Partnership (SNPP). Observations from Cloud-Aerosol Lidar with Orthogonal P... | [
{
"id": 17,
"name": "Validation"
}
] |
null | null | null | null | null | null | null | null | null | 10.1109/CISCE55963.2022.9851159 | 2,022 | A Convolution Neural Network-based Method for Sea Ice Remote Sensing using GNSS-R Data | Sea ice remote sensing is of great significance to the understanding of polar climate change. At present, the global navigation satellite system reflector (GNSS-R) technology has been applied to the study of sea ice remote sensing and achieved good results. In this paper, a convolution neural network (CNN) based method... | [
{
"id": 3,
"name": "Cryospheric Indicators"
}
] |
null | null | null | null | null | null | null | null | null | 10.5194/ESSD-12-611-2020 | 2,020 | Replacing missing values in the standard Multi-angle Imaging SpectroRadiometer (MISR) radiometric camera-by-camera cloud mask (RCCM) data product | Abstract. The Multi-angle Imaging SpectroRadiometer (MISR) is one of the five instruments hosted on board the NASA Terra platform, launched on 18 December 1999. This instrument has been operational since 24 February 2000 and is still acquiring Earth observation data as of this writing. The primary mission of the MISR i... | [
{
"id": 17,
"name": "Validation"
}
] |
null | null | null | null | null | null | null | null | null | 10.3390/RS14061418 | 2,022 | An Algorithm to Bias-Correct and Transform Arctic SMAP-Derived Skin Salinities into Bulk Surface Salinities | An algorithmic approach, based on satellite-derived sea-surface (skin) salinities (SSS), is proposed to correct for errors in SSS retrievals and convert these skin salinities into comparable in-situ (bulk) salinities for the top-5 m of the subpolar and Arctic Oceans. In preparation for routine assimilation into operati... | [
{
"id": 17,
"name": "Validation"
}
] |
null | null | null | null | null | null | null | null | null | 10.1175/MWR-D-22-0145.1 | 2,022 | A Microphysics-scheme Consistent Snow Optical Parameterization for the Community Radiative Transfer Model | Abstract The satellite observational data assimilation community requires consistent hydrometer descriptionsincluding mass-size relation and particle size distributionto be used in both the forecast model and observation operator. We develop a microphysics scheme-consistent snow and graupel single-scattering property d... | [
{
"id": 17,
"name": "Validation"
}
] |
null | null | null | null | null | null | null | null | null | 10.1007/978-3-030-46133-1_40 | 2,020 | An aggregate learning approach for interpretable semi-supervised population prediction and disaggregation using ancillary data | Census data provide detailed information about population characteristics at a coarse resolution. Nevertheless, fine-grained, high-resolution mappings of population counts are increasingly needed to characterize population dynamics and to assess the consequences of climate shocks, natural disasters, investments in infr... | [
{
"id": 17,
"name": "Validation"
}
] |
null | null | null | null | null | null | null | null | null | 10.1029/2019WR026621 | 2,020 | Groundwater Storage Loss Associated With Land Subsidence in Western | Land subsidence caused by groundwater extraction has numerous negative consequences, such as loss of groundwater storage and damage to infrastructure. Understanding the magnitude, timing, and locations of land subsidence, as well as the mechanisms driving it, is crucial to implementing mitigation strategies, yet the co... | [
{
"id": 13,
"name": "Land Surface/Agriculture Indicators"
}
] |
null | null | null | null | null | null | null | null | null | 10.3390/RS12182933 | 2,020 | Application of Machine Learning to Debris Flow Susceptibility Mapping along the China–Pakistan Karakoram Highway | The ChinaPakistan Karakoram Highway is an important land route from China to South Asia and the Middle East via Pakistan. Due to the extremely hazardous geological environment around the highway, landslides, debris flows, collapses, and subsidence are frequent. Among them, debris flows are one of the most serious geolo... | [
{
"id": 13,
"name": "Land Surface/Agriculture Indicators"
}
] |
null | null | null | null | null | null | null | null | null | 10.1016/J.GEOMORPH.2020.107451 | 2,021 | Major geomorphic events and natural hazards during monsoonal precipitation 2018 in the Kali Gandaki Valley, Nepal Himalaya | Highest geomorphic activity in the central Nepal Himalayas is mainly driven by monsoonal precipitation. In contrast, the northern flanks of the Nepal Himalaya lay in the relative dry rain shadow of the mountain range. During the monsoon 2018, major floods and geomorphic events occurred in the Kali Gandaki (KG) valley i... | [
{
"id": 13,
"name": "Land Surface/Agriculture Indicators"
},
{
"id": 2,
"name": "Atmospheric/Ocean Indicators"
}
] |
null | null | null | null | null | null | null | null | null | 10.1016/J.ECOINF.2021.101305 | 2,021 | Evaluating the effect of ecological policies from the pattern change of persistent green patches–A case study of Yan'an in China's Loess Plateau | Evaluation from landscape pattern change can comprehensively reflect the impact of ecological policies on the ecosystem service function. However, previous assessments based on landscape patterns only considered land cover type and ignored the quality of vegetation cover, which could hardly reflect regional differences... | [
{
"id": 13,
"name": "Land Surface/Agriculture Indicators"
}
] |
null | null | null | null | null | null | null | null | null | 10.1002/GEA.21866 | 2,021 | Human-environment interactions in a Bahamian dune landscape: A | Investigations were undertaken following the discovery of two Lucayan burials in an Atlantic coast sand dune on Long Island, The Bahamas (site LN‑101), in the aftermath of Hurricane Joaquin in 2015. The dune burials were the first of their kind to be documented and systematically excavated, and they were associated wit... | [
{
"id": 13,
"name": "Land Surface/Agriculture Indicators"
}
] |
null | null | null | null | null | null | null | null | null | 10.5194/ESSD-14-4445-2022 | 2,022 | HMRFS-TP: long-term daily gap-free snow cover products over the Tibetan | Abstract. Snow cover plays an essential role in climate change and
the hydrological cycle of the Tibetan Plateau. The widely used Moderate
Resolution Imaging Spectroradiometer (MODIS) snow products have two major
issues: massive data gaps due to frequent clouds and relatively low estimate
accuracy of snow cover due to ... | [
{
"id": 3,
"name": "Cryospheric Indicators"
}
] |
null | null | null | null | null | null | null | null | null | 10.1016/J.RSE.2020.111680 | 2,020 | Soil moisture experiment in the Luan River supporting new satellite mission opportunities | The Soil Moisture Experiment in the Luan River (SMELR) was conducted from 2017 to 2018 in the semi-arid Luan River watershed located in the North of China. One of the objectives of SMELR is to serve as an assessment tool and demonstration for a new Terrestrial Water Resources Satellite (TWRS) concept with one-dimension... | [
{
"id": 13,
"name": "Land Surface/Agriculture Indicators"
}
] |
null | null | null | null | null | null | null | null | null | 10.1175/JHM-D-15-0157.1 | 2,016 | Assimilation of gridded GRACE terrestrial water storage estimates in the North American Land Data Assimilation System | Abstract The objective of the North American Land Data Assimilation System (NLDAS) is to provide best-available estimates of near-surface meteorological conditions and soil hydrological status for the continental United States. To support the ongoing efforts to develop data assimilation (DA) capabilities for NLDAS, the... | [
{
"id": 17,
"name": "Validation"
}
] |
null | null | null | null | null | null | null | null | null | 10.1029/2018JG004799 | 2,019 | Seasonal Precipitation Legacy Effects Determine the Carbon Balance of a Semiarid Grassland | Semiarid grasslands are water-limited ecosystems where precipitation (PPT) controls the onset and duration of the growing season; however, this variable does not fully explain interannual variability of productivity at temporal scales. We examined the relationship between PPT and carbon (C) fluxes in a semiarid grassla... | [
{
"id": 6,
"name": "Ecosystems"
}
] |
null | null | null | null | null | null | null | null | null | 10.1590/0001-3765202220211352 | 2,022 | Landslides associated with recent road constructions in the Río Lucma catchment, eastern Cordillera Blanca, Peru | Abstract Extensive road construction works recently took place in the remote eastern part of the Peruvian Cordillera Blanca, aiming at a better connection of isolated mountain communities with regional administrative centres. Here we document and characterize landslides associated with these road construction efforts i... | [
{
"id": 13,
"name": "Land Surface/Agriculture Indicators"
}
] |
null | null | null | null | null | null | null | null | null | 10.3390/RS14153629 | 2,022 | Phenological Responses to Snow Seasonality in the Qilian Mountains Is a Function of Both Elevation and Vegetation Types | In high-elevation mountains, seasonal snow cover affects land surface phenology and the functioning of the ecosystem. However, studies regarding the long-term effects of snow cover on phenological changes for high mountains are still limited. Our study is based on MODIS data from 2003 to 2021. First, the NDPI was calcu... | [
{
"id": 3,
"name": "Cryospheric Indicators"
},
{
"id": 13,
"name": "Land Surface/Agriculture Indicators"
}
] |
null | null | null | null | null | null | null | null | null | 10.1016/J.RSE.2020.111668 | 2,020 | Improvement of operational airborne gamma radiation snow water equivalent estimates using SMAP soil moisture | Knowledge of snow water equivalent (SWE) magnitude and spatial distribution are keys to improving snowmelt flood predictions. Since the 1980s, the operational National Oceanic and Atmospheric Administration's (NOAA) airborne gamma radiation soil moisture (SM) and SWE survey has provided over 20,000 SWE observations to ... | [
{
"id": 3,
"name": "Cryospheric Indicators"
},
{
"id": 17,
"name": "Validation"
}
] |
null | null | null | null | null | null | null | null | null | 10.1007/S41748-021-00213-W | 2,021 | Investigating decadal changes of multiple hydrological products and land-cover changes in the Mediterranean Region for 2009–2018 | Land-cover change is a critical concern due to its climatic, ecological, and socioeconomic consequences. In this study, we used multiple variables including precipitation, vegetation index, surface soil moisture, and evapotranspiration obtained from different satellite sources to study their association with land-cover... | [
{
"id": 13,
"name": "Land Surface/Agriculture Indicators"
}
] |
null | null | null | null | null | null | null | null | null | 10.3390/RS13173531 | 2,021 | Projecting Future Vegetation Change for Northeast China Using CMIP6 Model | Northeast China lies in the transition zone from the humid monsoonal to the arid continental climate, with diverse ecosystems and agricultural land highly susceptible to climate change. This region has experienced significant greening in the past three decades, but future trends remain uncertain. In this study, we prov... | [
{
"id": 13,
"name": "Land Surface/Agriculture Indicators"
}
] |
null | null | null | null | null | null | null | null | null | 10.3390/RS13030347 | 2,021 | Spatial Distribution of Soil Moisture in Mongolia Using SMAP and MODIS | Soil moisture is one of the essential variables of the water cycle, and plays a vital role in agriculture, water management, and land (drought) and vegetation cover change as well as climate change studies. The spatial distribution of soil moisture with high-resolution images in Mongolia has long been one of the essent... | [
{
"id": 13,
"name": "Land Surface/Agriculture Indicators"
}
] |
null | null | null | null | null | null | null | null | null | 10.3390/LAND11060808 | 2,022 | Potential Variation of Evapotranspiration Induced by Typical Vegetation Changes in Northwest China | Evapotranspiration (ET), as a key eco-hydrological parameter, plays an important role in understanding sustainable ecosystem development. Each plant category has a unique functional trait on transpiration and photosynthesis, with ET implying that water cycle and energy transformation is linked with vegetation type. Cha... | [
{
"id": 13,
"name": "Land Surface/Agriculture Indicators"
}
] |
null | null | null | null | null | null | null | null | null | 10.1029/2021JG006568 | 2,022 | Quantification of Urban Forest and Grassland Carbon Fluxes Using Field Measurements and a Satellite‐Based Model in Washington DC/Baltimore Area | Cities are taking the lead on climate change mitigation with ambitious goals to reduce carbon dioxide (CO<SUB>2</SUB>) emissions. The implementation of effective mitigation policies will require accurate measurements to guide policy decisions and monitor their efficacy. Here, we present a comprehensive CO<SUB>2</SUB> i... | [
{
"id": 10,
"name": "Greenhouse Gases"
}
] |
null | null | null | null | null | null | null | null | null | 10.1016/J.SCITOTENV.2022.158819 | 2,023 | Soil moisture drives the spatiotemporal patterns of asymmetry in vegetation productivity responses across China | Increasingly drastic global change is expected to cause hydroclimatic changes, which will influence vegetation productivity and pose a threat to the terrestrial carbon sink. Asymmetry represents an imbalance between vegetation growth and loss of growth during dry and wet periods, respectively. However, the mechanisms o... | [
{
"id": 13,
"name": "Land Surface/Agriculture Indicators"
}
] |
null | null | null | null | null | null | null | null | null | 10.3390/IJERPH18020416 | 2,021 | Quantifying Grass Coverage Trends to Identify the Hot Plots of Grassland Degradation in the Tibetan Plateau during 2000–2019 | Grassland covers 54% of the Tibetan Plateau (TP) and suffered overgrazing and degradation problems during past decades. To alleviate these problems, a series of policy measures have been implemented during recent two decades and inevitably caused changes of the grassland. To this end, this study quantitatively analyzed... | [
{
"id": 13,
"name": "Land Surface/Agriculture Indicators"
}
] |
null | null | null | null | null | null | null | null | null | 10.1175/JAMC-D-18-0219.1 | 2,019 | Variations in surface albedo arising from flooding and desiccation cycles on the Bonneville Salt Flats, Utah | Abstract Desert playas, such as those in northern Utah, form a landscape often in stark contrast to surrounding mountain ranges due to their minimal topographic relief, lack of vegetation, and saline soils. Dry highly reflective halite surfaces, which make up many of the desert playas in northern Utah, are generally ch... | [
{
"id": 9,
"name": "Floods"
}
] |
null | null | null | null | null | null | null | null | null | 10.5194/SOIL-7-217-2021 | 2,021 | SoilGrids 2.0: producing soil information for the globe with quantified spatial uncertainty | Abstract. SoilGrids produces maps of soil properties for the entire globe at medium spatial resolution (250 m cell size) using state-of-the-art machine learning methods to generate the necessary models. It takes as inputs soil observations from about 240 000 locations worldwide and over 400 global environmental covaria... | [
{
"id": 17,
"name": "Validation"
}
] |
null | null | null | null | null | null | null | null | null | 10.14712/23361980.2022.5 | 2,022 | Current Global Land Systems Classifications: Comparison of Methods and Outputs | The anthropogenic impact on the functioning of natural systems and the concept of Anthropocene as a period of the human domination of the Earth has been widely discussed in literature in the past few decades. Consequently, several land systems classifications have been developed on a global scale to capture the diversi... | [
{
"id": 11,
"name": "Habitat Conversion/Fragmentation"
}
] |
null | null | null | null | null | null | null | null | null | 10.1002/LDR.3494 | 2,020 | A novel similar habitat potential model based on sliding-window technique for vegetation restoration potential mapping | Vegetation restoration potential mapping (VRPM) is of great importance for regional ecosystem restoration planning after long‑term land degradation or short‑term disasters. However, there are some problems to be solved in the current models for evaluating the potential of vegetation restoration. First, the models for V... | [
{
"id": 13,
"name": "Land Surface/Agriculture Indicators"
}
] |
null | null | null | null | null | null | null | null | null | 10.5194/HESS-26-6311-2022 | 2,022 | Simulating carbon and water fluxes using a coupled process-based terrestrial biosphere model and joint assimilation of leaf area index and surface soil … | Abstract. Reliable modeling of carbon and water fluxes is essential for understanding the terrestrial carbon and water cycles and informing policy strategies aimed at constraining carbon emissions and improving water use efficiency. We designed an assimilation framework (LPJ-Vegetation and soil moisture Joint Assimilat... | [
{
"id": 13,
"name": "Land Surface/Agriculture Indicators"
},
{
"id": 17,
"name": "Validation"
}
] |
null | null | null | null | null | null | null | null | null | 10.1002/LDR.4338 | 2,022 | A novel framework for evaluating the effect of vegetation restoration via the grazing‐exclusion‐by‐fencing project: a case study from the Qinghai‐Tibet Plateau | Grazing exclusion by fencing (GEF) has been implemented to prevent the deterioration of grassland ecosystems in China since the beginning of this century; meanwhile, the effects have attracted widespread attention from the academic community. However, due to the simultaneity of different factors, it is difficult to sep... | [
{
"id": 13,
"name": "Land Surface/Agriculture Indicators"
}
] |
null | null | null | null | null | null | null | null | null | 10.1007/S12524-020-01195-4 | 2,020 | Increased Surface Broadband Emissivity Driven by Denser Vegetation on the Tibetan Plateau Grassland Area | Global changes are profoundly affecting the global terrestrial ecosystems, especially for the vegetation. Simultaneously, the affected vegetation gives feedback to the climates. The Tibetan Plateau (TP), one of the most sensitive areas to global changes, has undergone extraordinary changes on its ecosystem processes. I... | [
{
"id": 13,
"name": "Land Surface/Agriculture Indicators"
}
] |
null | null | null | null | null | null | null | null | null | 10.1016/J.SCITOTENV.2022.159064 | 2,023 | Spatial patterns and climatic drivers of leaf spring phenology of maple in eastern North America | The resurgent frequency of extreme weather events and their strongly distinctive spatial patterns lead to a growing interest in phenology as an indicator of tree susceptibility. Using a long-term chronology of observations collected in situ, we predicted and investigated the spatial patterns and environmental drivers o... | [
{
"id": 6,
"name": "Ecosystems"
}
] |
null | null | null | null | null | null | null | null | null | 10.1016/J.SCITOTENV.2022.154761 | 2,022 | Sedimentary organic carbon storage of thermokarst lakes and ponds across Tibetan permafrost region | Sedimentary soil organic carbon (SOC) stored in thermokarst lakes and ponds (hereafter referred to as thaw lakes) across high-latitude/altitude permafrost areas is of global significance due to increasing thaw lake numbers and their high C vulnerability under climate warming. However, to date, little is known about the... | [
{
"id": 3,
"name": "Cryospheric Indicators"
},
{
"id": 13,
"name": "Land Surface/Agriculture Indicators"
}
] |
null | null | null | null | null | null | null | null | null | 10.1635/053.166.0118 | 2,020 | Deciphering the many maps of the Xingu River Basin–an assessment of land cover classifications at multiple scales | Remote sensing is an invaluable tool to objectively illustrate the rapid decline in habitat extents worldwide. The many operational Earth Observation platforms provide options for the generation of land cover maps, each with unique characteristics and considerable semantic differences in the definition of classes. As a... | [
{
"id": 11,
"name": "Habitat Conversion/Fragmentation"
}
] |
null | null | null | null | null | null | null | null | null | 10.1080/01431161.2019.1641758 | 2,019 | Spatio-temporal quality distribution of MODIS vegetation collections 5 and 6: implications for forest-non-forest separability | Moderate Resolution Imaging Spectroradiometer (MODIS) has been employed for continuous monitoring of land surface dynamics to facilitate the examination of spatial aspects of the environment. Periodical generation of MODIS products enables temporal analysis, and the interpretation of temporal patterns requires informat... | [
{
"id": 13,
"name": "Land Surface/Agriculture Indicators"
},
{
"id": 17,
"name": "Validation"
}
] |
null | null | null | null | null | null | null | null | null | 10.1016/J.CATENA.2018.05.008 | 2,018 | The spatial distribution of critical wind erosion centers according to the dust event in Hormozgan province (south of Iran) | Wind erosion and its consequent dust storms has become one of the environmental risks in today's world, which has annually caused non-compensable destruction in environment and human health. Since wind erosion is one of the main factors of desertification which could result in dust storms, studying and locating the win... | [
{
"id": 13,
"name": "Land Surface/Agriculture Indicators"
}
] |
null | null | null | null | null | null | null | null | null | 10.1002/2017JG004073 | 2,017 | A Newly Identified Role of the Deciduous Forest Floor in the Timing of Green-Up | Plant phenology studies rarely consider controlling factors other than air temperature. We evaluate here the potential significance of physical and chemical properties of soil (edaphic factors) as additional important controls on phenology. More specifically, we investigate causal connections between satellite-observed... | [
{
"id": 13,
"name": "Land Surface/Agriculture Indicators"
}
] |
null | null | null | null | null | null | null | null | null | 10.1038/S41598-022-17787-8 | 2,022 | Abiotic and biotic factors controlling the dynamics of soil respiration in a coastal dune ecosystem in western Japan | In this study, we examined the abiotic and biotic factors controlling the dynamics of soil respiration (Rs) while considering the zonal distribution of plant species in a coastal dune ecosystem in western Japan, based on periodic Rs data and continuous environmental data. We set four measurement plots with different ve... | [
{
"id": 6,
"name": "Ecosystems"
},
{
"id": 13,
"name": "Land Surface/Agriculture Indicators"
}
] |
null | null | null | null | null | null | null | null | null | 10.3390/RS11242949 | 2,019 | Analysis of groundwater and total water storage changes in Poland using GRACE observations, in-situ data, and various assimilation and climate models | The Gravity Recovery and Climate Experiment (GRACE) observations have provided global observations of total water storage (TWS) changes at monthly intervals for over 15 years, which can be useful for estimating changes in GWS after extracting other water storage components. In this study, we analyzed the TWS and ground... | [
{
"id": 13,
"name": "Land Surface/Agriculture Indicators"
}
] |
null | null | null | null | null | null | null | null | null | 10.1002/VZJ2.20163 | 2,021 | A parametric sensitivity analysis for prioritizing regolith knowledge needs for modeling water transfers in the West African critical zone | Hard rock aquifers (HRAs) in West Africa (WA) are located within a thick regolith layer. The representation of thick tropical regolith in integrated hydrological models lacks consensus on aquifer geometries and parameter ranges. Our main objective was to determine the knowledge requirements on saturated hydraulic condu... | [
{
"id": 13,
"name": "Land Surface/Agriculture Indicators"
}
] |
null | null | null | null | null | null | null | null | null | 10.1029/2018EF000937 | 2,018 | Future Global Soil Respiration Rates Will Swell Despite Regional Decreases in Temperature Sensitivity Caused by Rising Temperature | Between 1960 and 2014, the global soil respiration (R<SUB>SG</SUB>) flux increased at a rate of 0.05 Pg C year<SUP>-1</SUP>; however, future increase is uncertain due to variations in projected temperature and regional heterogeneity. Regional differences in the sensitivity of soil respiration (R<SUB>S</SUB>) to tempera... | [
{
"id": 10,
"name": "Greenhouse Gases"
}
] |
null | null | null | null | null | null | null | null | null | 10.1016/J.ISPRSJPRS.2020.11.019 | 2,020 | Land surface phenology as indicator of global terrestrial ecosystem dynamics: A systematic review | Vegetation phenology is considered an important biological indicator in understanding the behaviour of ecosystems and how it responds to environmental cues. Changes in vegetation dynamics have been strongly linked to the variability of climate patterns and may have an important impact on the ecological processes of eco... | [
{
"id": 13,
"name": "Land Surface/Agriculture Indicators"
}
] |
null | null | null | null | null | null | null | null | null | 10.1029/2021WR031565 | 2,022 | Leveraging Pre‐Storm Soil Moisture Estimates for Enhanced Land Surface Model Calibration in Ungauged Hydrologic Basins | Despite long-standing efforts, hydrologists still lack robust tools for calibrating land surface model (LSM) streamflow estimates within ungauged basins. Using surface soil moisture estimates from the Soil Moisture Active Passive Level 4 Soil Moisture (L4_SM) product, precipitation observations, and streamflow gauge me... | [
{
"id": 17,
"name": "Validation"
}
] |
null | null | null | null | null | null | null | null | null | 10.1126/SCIENCE.AAA7185 | 2,016 | Empirical evidence of contrasting soil moisture–precipitation feedbacks across the United States | The effects of rainfall on rainfall
Soil moisture, which is controlled in part by past rainfall, can affect the probability of future rainfall over large areas. This is because the water contained in soils helps determine how sunlight is converted into latent heat (evaporation) and sensible heat (which inc... | [
{
"id": 2,
"name": "Atmospheric/Ocean Indicators"
}
] |
null | null | null | null | null | null | null | null | null | 10.1016/J.JHYDROL.2022.128096 | 2,022 | Revising precipitation water storages vegetation signatures with GRACE-based data assimilation | The availability of freshwater is highly influenced by climate change, extreme climate events and by anthropogenic use. Countries where a large part of the population depends on the agricultural sector, such as South Africa, are strongly affected by changes in climate, which emphasizes that water is an essential source... | [
{
"id": 17,
"name": "Validation"
},
{
"id": 13,
"name": "Land Surface/Agriculture Indicators"
}
] |
null | null | null | null | null | null | null | null | null | 10.1016/J.ENVSOFT.2022.105467 | 2,022 | Multi-modal temporal CNNs for live fuel moisture content estimation | Live fuel moisture content (LFMC) is an important environmental indicator used to measure vegetation conditions and monitor for high fire risk conditions. However, LFMC is challenging to measure on a wide scale, thus reliable models for estimating LFMC are needed. Therefore, this paper proposes a new deep learning arch... | [
{
"id": 20,
"name": "Wildfires"
}
] |
End of preview.
Dataset Card for Publications Citing NASA GES-DISC Datasets with Applied Research Areas
Dataset Description
Dataset Summary
This dataset includes a curated collection of scientific publications that cite datasets from NASA's Goddard Earth Sciences Data and Information Services Center (GES-DISC). The dataset is designed to provide insights into the impact and reach of NASA's data products, particularly in supporting Earth science research. Each publication is annotated with applied research areas, and multiple areas can be associated with a single publication.
The process of collecting these publications is detailed in Gerasimov et al. (2024). Example use cases include dataset discovery, knowledge discovery, and fine-tuning large language models for domain-specific applications.
Supported Tasks and Leaderboards
- Multi-label classification: The dataset can be used to train models that predict multiple research areas for a given publication.
- Domain adaptation: Researchers can fine-tune large language models for specific domains in Earth science using this dataset.
Languages
The dataset primarily contains text in English.
Dataset Structure
Class Distribution
| Label ID | Label Name | Count |
|---|---|---|
| 0 | Agriculture | 117 |
| 1 | Air Quality | 284 |
| 2 | Atmospheric/Ocean Indicators | 267 |
| 3 | Cryospheric Indicators | 114 |
| 4 | Droughts | 88 |
| 5 | Earthquakes | 100 |
| 6 | Ecosystems | 280 |
| 7 | Energy Production/Use | 133 |
| 8 | Environmental Impacts | 154 |
| 9 | Floods | 91 |
| 10 | Greenhouse Gases | 113 |
| 11 | Habitat Conversion/Fragmentation | 173 |
| 12 | Heat | 93 |
| 13 | Land Surface/Agriculture Indicators | 205 |
| 14 | Public Health | 109 |
| 15 | Severe Storms | 97 |
| 16 | Sun-Earth Interactions | 95 |
| 17 | Validation | 222 |
| 18 | Volcanic Eruptions | 92 |
| 19 | Water Quality | 71 |
| 20 | Wildfires | 105 |
Data Fields
- doi: Digital Object Identifier for the publication.
- year: The year the publication was published.
- title: The title of the publication.
- abstract: The abstract of the publication.
- labels: A list of applied research areas associated with the publication. Each publication may have more than one applied research area, with each area having an
idandname.
Data Splits
The dataset is not split into training/validation/test sets. It is a single collection of publications.
Usage
Example Use Cases
- Dataset Discovery: Identifying relevant datasets for specific research areas.
- Knowledge Discovery: Exploring how NASA's datasets are cited across various research domains.
- Fine-tuning: Using this dataset to fine-tune language models for domain-specific tasks in Earth science.
Citation
Please cite the dataset as follows:
NASA Goddard Earth Sciences Data and Information Services Center (GES-DISC). (2024). Publications Citing NASA GES-DISC Datasets with Applied Research Areas (Version 1.0) [Data set]. DOI: 10.57967/hf/2914
Reference for Collection Process
For details on the process of collecting these publications, please refer to:
Gerasimov, I., Savtchenko, A., Alfred, J., Acker, J., Wei, J., & KC, B. (2024). Bridging the Gap: Enhancing Prominence and Provenance of NASA Datasets in Research Publications. Data Science Journal, 23(1). https://doi.org/10.5334/dsj-2024-001
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