cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.15681365
title: DeepRec Dataset: Global Terrestrial Water Storage Reconstruction Since 1941

description: Dataset Description

Terrestrial water storage (TWS), the sum of all water components on the land surface and below, plays an important role in describing Earth's climate and water availability for ecosystems and human development. This dataset extends GRACE-like terrestrial water storage anomalies (TWSA) back to 1941, addressing the limitation that GRACE-based TWSA measurements have only been available since 2002.

This dataset contains model outputs of our TWSA reconstruction approach "DeepRec", described in the following preprint (currently under review):

Luis Q. Gentner, Junyang Gou, Mohammad J. Tourian, Lara Börger, Nico Sneeuw, Benedikt Soja. DeepRec: Global Terrestrial Water Storage Reconstruction Since 1941 Using Spatiotemporal-Aware Deep Learning Model. ESS Open Archive. 2025.

The dataset includes netCDF files of reconstructed terrestrial water storage anomalies (TWSA) covering global land areas except Greenland and Antarctica. Two reconstructions based on different input selections are provided:



ERA5-ONI-HI: Uses 14 ERA5 variables, Oceanic Niño Index (ONI), land use, and lake fraction data. This is the main data set reported in our paper.

WGHM-ERA5-ONI-HI: Uses the same inputs as the previous data set plus TWSA from the WaterGAP global hydrology model (WGHM).


For each reconstruction, we provide the individual ensemble members ("DeepRec_members") and their combination ("DeepRec_mixture"). The combined dataset includes ensemble mean TWSA ("lwe_thickness"), total predictive uncertainty ("sigma"), and separate estimates of data-related aleatoric uncertainty ("sigma_ale") and model-related epistemic uncertainty ("sigma_epi") components. The individual ensemble members include the raw model outputs: The location parameter ("laplace_loc") and scale parameter ("laplace_scale") of the Laplace distribution, obtained by minimizing the negative log likelihood loss. The location parameter represents the predicted mean TWSA and the scale parameter represents the predicted mean absolute deviation from the median.

Technical Specifications



Format: netCDF4 files

Units: cm of equivalent water height (EWH)

Spatial Resolution: 0.5° × 0.5° grid

Temporal Resolution: Monthly (each time step is set to the middle of the calendar month)

Time Period: 1941-01 to 2023-12


Citation

When using this dataset, please cite our corresponding preprint and this dataset.

Contact

We appreciate any feedback! Please contact:



Luis Q. GentnerUniversity of Zurich, Switzerlandluis.gentner@geo.uzh.ch

Junyang GouETH Zurich, Switzerlandjungou@ethz.ch
DOI: 10.5281/zenodo.15739437
title: PA073 Peer Review Dataset
DOI: 10.5281/zenodo.15739438
title: PA073 Peer Review Dataset
DOI: 10.5065/erh9-8x04
title: ICARUS Chamber Experiment: Hildebrandt Ruiz Lab_20180202_DECANE/nitric oxide/nitrite_Chlorine radical_Ammonium sulfate_med RH

description: Goals: Find SOA yield for decane + Cl under high NOx condition (NO and NO2 injected) at RH = 40%. Investigate volatility behavior based on 2D thermograms.Summary: Ammonium sulfate seed (0.01M, 150 mL) was injected using an aerosol generation system. Cl2 gas, NO and NO2 gas were injected from their cylinders. 81 ug/m^3 of decane was injected into a glass bulb and heated clean air was made to flow over it, carrying the volatilized decane into the chamber. After ~30 minutes (sufficient mixing time), lights were turned on for 1 hour. 40.7 ug/m^3 of SOA was formed, giving a mass yield of 0.50. This is Experiment #8 in associated publication.Organization: Hildebrandt Ruiz Lab Lab Affiliation: University of Texas at Austin, Austin, TX, USA Chamber: LHR ChamberExperiment Category: Gas phase chemical reaction, Volatility and partitioning, Aerosol formation Oxidant: Chlorine radical Reactants: DECANE, nitric oxide, nitrite Reaction Type: Photooxidation Relative Humidity: 40 Temperature: 25 Seed Name: Ammonium sulfate
DOI: 10.5281/zenodo.15737068
title: Dataset and code for "Boundary Element Methods in Action: A Performance Assessment for Engineering Applications"

description: Dataset and code for "Boundary Element Methods in Action: A Performance Assessment for Engineering Applications".
DOI: 10.15468/dl.3drtt2
title: Occurrence Download

description: A dataset containing 1655583195 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aves",
 "SpeciesKey is not null",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Living Specimen, Specimen, Fossil)"
 ]
 }
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than or equal to 231.656358263958",
 "CoordinateUncertaintyInMeters is null"
 ]
 },
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 },
 {
 "not" : {
 "License" : [
 "is one of (CC-BY-NC 4.0)"
 ]
 }
 }
 ]
}

 The dataset includes 1655583195 records from 7637 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068788-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nr2tax
title: Occurrence Download

description: A dataset containing 1616503 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Pl@ntNet observations"
 ]
}

 The dataset includes 1616503 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0217262-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vfytq5
title: Occurrence Download

description: A dataset containing 9442 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Icaricia icarioides (Boisduval, 1852)"
 ]
}

 The dataset includes 9442 records from 79 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009547-230918134249559/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w9mmcr
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dasysyrphus tricinctus (Fallén, 1817)",
 "HasCoordinate is true",
 "Country is Japan",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 4 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0217251-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7qxwgb
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Leontodon pratensis Hegetschw., 1839"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005947-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4ba6s3
title: Occurrence Download

description: A dataset listing the 28736 species recorded in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "Country is Algeria"
 ]
}

 The dataset's 28736 records were derived from 1070 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0257899-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y5khez
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Nemophora ahenea Stringer, 1930",
 "HasCoordinate is true",
 "Country is Japan",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0217241-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10600369
title: Computing solubility and thermodynamic properties of H2O2 in water

description: The input files used for GROMACS and BRICK software in this work has been uploaded. The dataset contains .itp files for the H2O2 forcefields used and the .mdp file used for a NPT run on aqueous H2O2 solution. GROMACS was used to determine the densities, viscosities and diffusion coefficients of H2O2 in water. Also, BRICK input files (forcefield.in, settings.in, topology.in, H2O2, water, restart.in and weightfunction.in) has been uploaded. BRICK was used to calculate the solubility (Henry coefficient) of H2O2 in water.
DOI: 10.5281/zenodo.10600370
title: Computing solubility and thermodynamic properties of H2O2 in water

description: The input files used for GROMACS and BRICK software in this work has been uploaded. The dataset contains .itp files for the H2O2 forcefields used and the .mdp file used for a NPT run on aqueous H2O2 solution. GROMACS was used to determine the densities, viscosities and diffusion coefficients of H2O2 in water. Also, BRICK input files (forcefield.in, settings.in, topology.in, H2O2, water, restart.in and weightfunction.in) has been uploaded. BRICK was used to calculate the solubility (Henry coefficient) of H2O2 in water.
DOI: 10.15468/dl.rsntd6
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Nippononysson rufopictus Yasumatsu & Maidl, 1936",
 "HasCoordinate is true",
 "Country is Japan",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0217280-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ukwngf
title: Occurrence Download

description: A dataset containing 138 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gonolobus xanthotrichus Brandegee"
 ]
}

 The dataset includes 138 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0232255-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nqkjmc
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Coelotes iharai Okumura, 2007",
 "HasCoordinate is true",
 "Country is Japan",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0217293-220831081235567/datasets/export for details.
DOI: 10.15468/dl.xdk37e
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is Accipiter badius",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is Human Observation"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0257890-230224095556074/datasets/export for details.
DOI: 10.15468/dl.rshjme
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Curculio hachijoensis Morimoto, 1962",
 "HasCoordinate is true",
 "Country is Japan",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 4 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0217287-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vxe87y
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hieracium putoranicum Tupitz."
 ]
}

 The dataset includes 24 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0246210-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4ka7wh
title: Occurrence Download

description: A dataset containing 983 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-68.95425 -13.02768,-71.24174 -12.98715,-71.84481 -13.1897,-72.19833 -14.56248,-71.50115 -17.48132,-70.52377 -18.37166,-69.87912 -18.13467,-69.35923 -17.54081,-68.98492 -16.68621,-69.00571 -16.22751,-69.23446 -15.56752,-69.0889 -15.16648,-69.21367 -14.8049,-68.52742 -14.24124,-68.52742 -13.19073,-68.95425 -13.02768))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Rollandia microptera (Gould, 1868)"
 ]
}

 The dataset includes 983 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0217289-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k8s34h
title: Occurrence Download

description: A dataset containing 320519 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Abbottina rivularis (Basilewsky, 1855), Abramis brama (Linnaeus, 1758), Abudefduf saxatilis (Linnaeus, 1758), Abudefduf vaigiensis (Quoy & Gaimard, 1825), Acanthogobius flavimanus (Temminck & Schlegel, 1845), Acanthopagrus bifasciatus (Forsskål, 1775), Acanthurus guttatus Forster, 1801, Acanthurus monroviae Steindachner, 1876, Acanthurus sohal (Forsskål, 1775), Acentrogobius pflaumii (Bleeker, 1853))",
 "Year is less than or equal to 2010",
 "Year is greater than or equal to 1880",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 320519 records from 373 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0257884-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8nvyj4
title: Occurrence Download

description: A dataset containing 28 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cnephasia stephensiana (Doubleday, 1850)",
 "HasCoordinate is true",
 "Country is Japan",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 28 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0217298-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.krh59k
title: Occurrence Download

description: A dataset containing 861 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Leontodon rigens (Aiton) Paiva & Ormonde"
 ]
}

 The dataset includes 861 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005950-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0185411.10fu
title: SH0185411.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0185412.10fu
title: SH0185412.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0185413.10fu
title: SH0185413.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0185414.10fu
title: SH0185414.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0185415.10fu
title: SH0185415.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0185416.10fu
title: SH0185416.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0185417.10fu
title: SH0185417.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.