cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.7y76up
title: Occurrence Download

description: A dataset containing 9175 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Procambarus clarkii (Girard, 1852), Procambarus virginalis Lyko, 2017, Procambarus acutus (Girard, 1852), Faxonius limosus (Rafinesque, 1817), Pacifastacus leniusculus (Dana, 1852), Faxonius virilis (Hagen, 1870), Faxonius immunis (Hagen, 1870), Faxonius juvenilis (Hagen, 1870), Faxonius rusticus (Girard, 1852), Astacus astacus (Linnaeus, 1758), Pontastacus leptodactylus (Eschscholtz, 1823), Cherax destructor Clark, 1936, Cherax quadricarinatus (von Martens, 1868))",
 "Country is one of (Belgium)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 9175 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007326-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.we2ukq
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Sphaerodactylus perissodactylius Thomas & Hedges, 1988)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 6 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007327-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j72myv
title: Occurrence Download

description: A dataset containing 153 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Calumma gallus (Günther, 1877), Calumma fallax (Mocquard, 1900))",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 153 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007328-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13731811
title: Strain Partitioning in the Southeastern Tibetan Plateau from Kinematic Modeling of High-Resolution Sentinel-1 InSAR and GNSS

description: InSAR Line-of-Sight (LOS) velocities and their associated uncertainties in the southeastern Tibetan Plateau, along with the strain rate fields.

Citations:

Fang, J., Wright, T. J., Johnson, K. M., Ou, Q., Styron, R., Craig, T. J., Elliott, J. R., Hooper, A., & Zheng, G. (2024). Strain Partitioning in the Southeastern Tibetan Plateau from Kinematic Modeling of High-Resolution Sentinel-1 InSAR and GNSS. Geophysical Research Letters.

Fang, J., Wright, T. J., Johnson, K. M., Ou, Q., Styron, R., Craig, T. J., Elliott, J. R., Hooper, A., & Zheng, G. (2024). Strain Partitioning in the Southeastern Tibetan Plateau from Kinematic Modeling of High-Resolution Sentinel-1 InSAR and GNSS [Data set]. Zenodo.  https://doi.org/10.5281/zenodo.13731812
DOI: 10.15468/dl.bd9dpg
title: Occurrence Download

description: A dataset listing the 7173 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is Norwegian Biodiversity Information Centre - Other datasets"
 ]
}

 The dataset's 7173 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007318-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nreeta
title: Occurrence Download

description: A dataset containing 5274 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is one of (Europe, Asia)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Saga pedo (Pallas, 1771)"
 ]
}

 The dataset includes 5274 records from 251 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007329-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4wg49f
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Sphaerodactylus plummeri Thomas & Hedges, 1992)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 10 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007330-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4xcsay
title: Occurrence Download

description: A dataset containing 123 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Calumma glawi Böhme, 1997)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 123 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007331-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uwrsnr
title: Occurrence Download

description: A dataset containing 247 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Sphaerodactylus randi Shreve, 1968)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 247 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007334-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3s5w99
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Calumma peyrierasi (Brygoo, Blanc & Domergue, 1974))",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007335-240906103802322/datasets/export for details.
DOI: 10.15468/dl.znj9pw
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Sphaerodactylus rhabdotus Schwartz, 1970)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 17 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007336-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qgexa2
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Enhydris longicauda (Bourret, 1934))",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007337-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5e7mu2
title: Occurrence Download

description: A dataset containing 1171 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rhododendron caucasicum Pall."
 ]
}

 The dataset includes 1171 records from 65 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007339-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qb83jn
title: Occurrence Download

description: A dataset containing 9175 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Procambarus clarkii (Girard, 1852), Procambarus virginalis Lyko, 2017, Procambarus acutus (Girard, 1852), Faxonius limosus (Rafinesque, 1817), Pacifastacus leniusculus (Dana, 1852), Faxonius virilis (Hagen, 1870), Faxonius immunis (Hagen, 1870), Faxonius juvenilis (Hagen, 1870), Faxonius rusticus (Girard, 1852), Astacus astacus (Linnaeus, 1758), Pontastacus leptodactylus (Eschscholtz, 1823), Cherax destructor Clark, 1936, Cherax quadricarinatus (von Martens, 1868))",
 "Country is one of (Belgium)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 9175 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007338-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kxsn7d
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Sphaerodactylus richardsonii Gray, 1845)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 15 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007340-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10551249
title: Data supporting 'Ice loss in the European Alps until 2050 using a fully assimilated, deep-learning-aided 3D ice-flow model'

description: The dataset supporting our publication 'Ice loss in the European Alps until 2050 using a fully assimilated, deep-learning-aided 3D ice-flow model' in Geophysical Research Letters.

The main .zip archive contains a set of NetCDF files detailing:



Initial optimised glacier states (geology-optimized...)

Simulation results (Prog20...)


Initial states and results are given by cluster (see Figure 1 in the paper), as shown in all filenames (C1 through to C12). Prognostic simulation filenames additionally distinguish between runs between 1999 and 2019 (Prog2020) and between 2020 and 2050 (Prog2050). 'NV'/'NoVel' and 'NT'/'NoThk' refer to simulations using the partial optimisation (optimisation without including velocity/thickness observations) as detailed in the paper. 'AV' at the end of the filename denotes the integrated area/volume results file, as opposed to the 2D raster results file. A 'V' before the cluster designation shows that the simulation used the variable SMB as opposed to the fixed SMB (see the paper for details). 'ID' before the cluster designation shows that the simulation was using extrapolated SMB based on the trend in SMB since 2000, instead of assuming the continuation of the current SMB. 'ID' on its own denotes linear extrapolation and 'IDQ' denotes quadratic extrapolation (not used in the published paper). 'SMBF' in the filename shows that the simulation used the SMB-elevation feedback.

The additional .zip archive contains the code of IGM v1.0 used to produce the model results. For details on installing and using IGM, please see the Github page at https://github.com/jouvetg/igm.

A further .zip archive (in version 3 - Sims2010-2022.zip) contains the simulations based on linear extrapolation of the observed trend in SMB between 2010 and 2022, following the same nomenclature as in the principal archive (see above).
DOI: 10.5281/zenodo.8037002
title: Data supporting 'Ice loss in the European Alps until 2050 using a fully assimilated, deep-learning-aided 3D ice-flow model'

description: The dataset supporting our publication '<strong>Ice loss in the European Alps until 2050 using a fully assimilated, deep-learning-aided 3D ice-flow model</strong>' in <em>Geophysical Research Letters.</em> The .zip archive contains a set of NetCDF files detailing: Initial optimised glacier states (geology-optimized...) Simulation results (Prog20...) Initial states and results are given by cluster (see Figure 1 in the paper), as shown in all filenames (C1 through to C12). Prognostic simulation filenames additionally distinguish between runs between 1999 and 2019 (Prog2020) and between 2020 and 2050 (Prog2050). 'NV'/'NoVel' and 'NT'/'NoThk' refer to simulations using the partial optimisation (optimisation without including velocity/thickness observations) as detailed in the paper. 'AV' at the end of the filename denotes the integrated area/volume results file, as opposed to the 2D raster results file. A 'V' before the cluster designation shows that the simulation used the variable SMB as opposed to the fixed SMB (see the paper for details). 'ID' before the cluster designation shows that the simulation was using extrapolated SMB based on the trend in SMB since 2000, instead of assuming the continuation of the current SMB. 'ID' on its own denotes linear extrapolation and 'IDQ' denotes quadratic extrapolation. 'SMBF' in the filename shows that the simulation used the SMB-elevation feedback.
DOI: 10.5281/zenodo.13735304
title: Data supporting 'Ice loss in the European Alps until 2050 using a fully assimilated, deep-learning-aided 3D ice-flow model'

description: The dataset supporting our publication 'Ice loss in the European Alps until 2050 using a fully assimilated, deep-learning-aided 3D ice-flow model' in Geophysical Research Letters.

The main .zip archive contains a set of NetCDF files detailing:



Initial optimised glacier states (geology-optimized...)

Simulation results (Prog20...)


Initial states and results are given by cluster (see Figure 1 in the paper), as shown in all filenames (C1 through to C12). Prognostic simulation filenames additionally distinguish between runs between 1999 and 2019 (Prog2020) and between 2020 and 2050 (Prog2050). 'NV'/'NoVel' and 'NT'/'NoThk' refer to simulations using the partial optimisation (optimisation without including velocity/thickness observations) as detailed in the paper. 'AV' at the end of the filename denotes the integrated area/volume results file, as opposed to the 2D raster results file. A 'V' before the cluster designation shows that the simulation used the variable SMB as opposed to the fixed SMB (see the paper for details). 'ID' before the cluster designation shows that the simulation was using extrapolated SMB based on the trend in SMB since 2000, instead of assuming the continuation of the current SMB. 'ID' on its own denotes linear extrapolation and 'IDQ' denotes quadratic extrapolation (not used in the published paper). 'SMBF' in the filename shows that the simulation used the SMB-elevation feedback.

The additional .zip archive contains the code of IGM v1.0 used to produce the model results. For details on installing and using IGM, please see the Github page at https://github.com/jouvetg/igm.

A further .zip archive (in version 3 - Sims2010-2022.zip) contains the simulations based on linear extrapolation of the observed trend in SMB between 2010 and 2022, following the same nomenclature as in the principal archive (see above).

Version 4 contains an additional mosaicked DEM of the results for the whole Alps with the ice removed to give the complete basal topography (kindly processed by T. Léger at UNIL) using the Japan Aerospace Exploration Agency (2021) ALOS World 3D 30 meter DEM. V3.2, Jan 2021. Distributed by OpenTopography. https://doi.org/10.5069/G94M92HB. Accessed: 2024-09-09.
DOI: 10.5281/zenodo.8037001
title: Data supporting 'Ice loss in the European Alps until 2050 using a fully assimilated, deep-learning-aided 3D ice-flow model'

description: The dataset supporting our publication 'Ice loss in the European Alps until 2050 using a fully assimilated, deep-learning-aided 3D ice-flow model' in Geophysical Research Letters.

The main .zip archive contains a set of NetCDF files detailing:



Initial optimised glacier states (geology-optimized...)

Simulation results (Prog20...)


Initial states and results are given by cluster (see Figure 1 in the paper), as shown in all filenames (C1 through to C12). Prognostic simulation filenames additionally distinguish between runs between 1999 and 2019 (Prog2020) and between 2020 and 2050 (Prog2050). 'NV'/'NoVel' and 'NT'/'NoThk' refer to simulations using the partial optimisation (optimisation without including velocity/thickness observations) as detailed in the paper. 'AV' at the end of the filename denotes the integrated area/volume results file, as opposed to the 2D raster results file. A 'V' before the cluster designation shows that the simulation used the variable SMB as opposed to the fixed SMB (see the paper for details). 'ID' before the cluster designation shows that the simulation was using extrapolated SMB based on the trend in SMB since 2000, instead of assuming the continuation of the current SMB. 'ID' on its own denotes linear extrapolation and 'IDQ' denotes quadratic extrapolation (not used in the published paper). 'SMBF' in the filename shows that the simulation used the SMB-elevation feedback.

The additional .zip archive contains the code of IGM v1.0 used to produce the model results. For details on installing and using IGM, please see the Github page at https://github.com/jouvetg/igm.

A further .zip archive (in version 3 - Sims2010-2022.zip) contains the simulations based on linear extrapolation of the observed trend in SMB between 2010 and 2022, following the same nomenclature as in the principal archive (see above).

Version 4 contains an additional mosaicked DEM of the results for the whole Alps with the ice removed to give the complete basal topography (kindly processed by T. Léger at UNIL) using the Japan Aerospace Exploration Agency (2021) ALOS World 3D 30 meter DEM. V3.2, Jan 2021. Distributed by OpenTopography. https://doi.org/10.5069/G94M92HB. Accessed: 2024-09-09.
DOI: 10.5281/zenodo.8376503
title: Data supporting 'Ice loss in the European Alps until 2050 using a fully assimilated, deep-learning-aided 3D ice-flow model'

description: The dataset supporting our publication '<strong>Ice loss in the European Alps until 2050 using a fully assimilated, deep-learning-aided 3D ice-flow model</strong>' in <em>Geophysical Research Letters.</em> The main .zip archive contains a set of NetCDF files detailing: Initial optimised glacier states (geology-optimized...) Simulation results (Prog20...) Initial states and results are given by cluster (see Figure 1 in the paper), as shown in all filenames (C1 through to C12). Prognostic simulation filenames additionally distinguish between runs between 1999 and 2019 (Prog2020) and between 2020 and 2050 (Prog2050). 'NV'/'NoVel' and 'NT'/'NoThk' refer to simulations using the partial optimisation (optimisation without including velocity/thickness observations) as detailed in the paper. 'AV' at the end of the filename denotes the integrated area/volume results file, as opposed to the 2D raster results file. A 'V' before the cluster designation shows that the simulation used the variable SMB as opposed to the fixed SMB (see the paper for details). 'ID' before the cluster designation shows that the simulation was using extrapolated SMB based on the trend in SMB since 2000, instead of assuming the continuation of the current SMB. 'ID' on its own denotes linear extrapolation and 'IDQ' denotes quadratic extrapolation. 'SMBF' in the filename shows that the simulation used the SMB-elevation feedback. The additional .zip archive contains the code of IGM v1.0 used to produce the model results. For details on installing and using IGM, please see the Github page at https://github.com/jouvetg/igm.
DOI: 10.15468/dl.cskbvr
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Gyiophis vorisi (Murphy, 2007))",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 9 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007341-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w2hfyr
title: Occurrence Download

description: A dataset containing 433 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Polygala anatolica Boiss. & Heldr."
 ]
}

 The dataset includes 433 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007342-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48597/cm4u-5sea
title: Measurement of Nitrogen_monoxide at Beromünster

description: Measurement of Nitrogen_monoxide at Beromünster
DOI: 10.48597/v9pr-8k37
title: Measurement of Nitrogen_monoxide at Beromünster

description: Measurement of Nitrogen_monoxide at Beromünster
DOI: 10.14469/hpc/14582
title: Calicheamicin, TS1 epimer, model system, IRC forward

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/14585
title: Calicheamicin, TS1 epimer, model system, IRC reverse

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/14591
title: Calicheamicin, TS1 model system, IRC forward

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/14594
title: Calicheamicin, full system, wB97XD/Def2-svpp ==&gt; product G = -5768.762697 DG = 14.4 higher than reactant

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/14580
title: Calicheamicin, reactant, epimer, model system, G = -1087.331384

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/14584
title: Calicheamicin, reactant, model system, G = -1087.363889

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/14590
title: Calicheamicin, TS1, model system, IRC Reverse

description: Gaussian 16 (C01) calculation
DOI: 10.15468/dl.7r8rks
title: Occurrence Download

description: A dataset containing 25 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Laticauda schistorhyncha (Günther, 1874))",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 25 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007344-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.14469/hpc/14589
title: Calicheamicin, reactant, model system, Def2-svpp, G = -1086.108413

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/14595
title: Calicheamicin, TS1, model system, wB97XD/Def2-TZVPP, IRC forward ==&gt; product G = -1087.296394 =0.0

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/14596
title: Calicheamicin, model system, wB97XD/Def2-TZVPP, &gt; product G = -1087.296394==&gt; lower G = -1087.333928 DG = 23.6

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/14600
title: Calicheamicin, full system, TS, wB97XD/Def2-svpp G = -5768.785232 ==&gt;crystal conformation -5768.713995 DG = 38.6 (+44.7)

description: Gaussian 16 (C01) calculation