cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.94pnpt
title: Occurrence Download

description: A dataset containing 648097 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Données Oiseaux des Jardins",
 "GadmGid is FRA.12_1",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 648097 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015519-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ahtyj2
title: Occurrence Download

description: A dataset containing 271 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Suaeda microphylla (C.A.Mey.) Pall."
 ]
}

 The dataset includes 271 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015524-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15189712
title: Populated Areas in Vanuatu

description: The populated areas of the Vanuatu are created from built-up areas (HOTOSM, 2022) where the population of the smallest census unit (VNSO, 2021) is effectively concentrated. The methodology follows the one proposed in Thomas et al. (2021, 2023).

The shaepfile data is described as:



ADM2_EN - name of island of the populated area (2nd administrative level)

ADM2_PCODE - code of island

ADM1_EN - name of province of the populated area (1st administrative level) 

ADM1_PCODE - code of province

population - population count in the populated area

area - area of the populated area
DOI: 10.5281/zenodo.15189713
title: Populated Areas in Vanuatu

description: The populated areas of the Vanuatu are created from built-up areas (HOTOSM, 2022) where the population of the smallest census unit (VNSO, 2021) is effectively concentrated. The methodology follows the one proposed in Thomas et al. (2021, 2023).

The shaepfile data is described as:



ADM2_EN - name of island of the populated area (2nd administrative level)

ADM2_PCODE - code of island

ADM1_EN - name of province of the populated area (1st administrative level) 

ADM1_PCODE - code of province

population - population count in the populated area

area - area of the populated area
DOI: 10.5281/zenodo.15189946
title: 4DHydro_Results_Tetis_Tugela_30sec_daily_exp41_20070101_20221231

description: Modeling results with TETIS software, for Tugela River with a spatial resolution of 30 seconds, and temporal resolution daily. Experiment 41. Forcing "mergedera5gpmsm2a". Calibrating methodology MOSCEM, calibrated variable SM+Q

Includes results for the following variables:



Total evapotranspiration flux in kg m-2 s-1

Discharge flux in m-3 s-1

Volumetric soil moisture content in percentage

Total water storage content in kg m-2
DOI: 10.5281/zenodo.15189947
title: 4DHydro_Results_Tetis_Tugela_30sec_daily_exp41_20070101_20221231

description: Modeling results with TETIS software, for Tugela River with a spatial resolution of 30 seconds, and temporal resolution daily. Experiment 41. Forcing "mergedera5gpmsm2a". Calibrating methodology MOSCEM, calibrated variable SM+Q

Includes results for the following variables:



Total evapotranspiration flux in kg m-2 s-1

Discharge flux in m-3 s-1

Volumetric soil moisture content in percentage

Total water storage content in kg m-2
DOI: 10.5281/zenodo.15189959
title: 4DHydro_Results_Tetis_Tugela_15sec_daily_exp41_20070101_20221231

description: Modeling results with TETIS software, for Tugela River with a spatial resolution of 15 seconds, and temporal resolution daily. Experiment 41. Forcing "mergedera5gpmsm2a". Calibrating methodology MOSCEM, calibrated variable SM+Q

Includes results for the following variables:



Total evapotranspiration flux in kg m-2 s-1

Discharge flux in m-3 s-1

Volumetric soil moisture content in percentage

Total water storage content in kg m-2
DOI: 10.5281/zenodo.15189958
title: 4DHydro_Results_Tetis_Tugela_15sec_daily_exp41_20070101_20221231

description: Modeling results with TETIS software, for Tugela River with a spatial resolution of 15 seconds, and temporal resolution daily. Experiment 41. Forcing "mergedera5gpmsm2a". Calibrating methodology MOSCEM, calibrated variable SM+Q

Includes results for the following variables:



Total evapotranspiration flux in kg m-2 s-1

Discharge flux in m-3 s-1

Volumetric soil moisture content in percentage

Total water storage content in kg m-2
DOI: 10.5281/zenodo.15189966
title: 4DHydro_Results_Tetis_Tugela_15sec_daily_exp41_20070101_20221231

description: Modeling results with TETIS software, for Tugela River with a spatial resolution of 15 seconds, and temporal resolution daily. Experiment 41. Forcing "mergedera5gpmsm2a". Calibrating methodology MOSCEM, calibrated variable SM+Q

Includes results for the following variables:



Total evapotranspiration flux in kg m-2 s-1

Discharge flux in m-3 s-1

Volumetric soil moisture content in percentage

Total water storage content in kg m-2
DOI: 10.5281/zenodo.15079961
title: Globular Clusters Dataset from the Paper "Revealing the ages of metal-rich RR Lyrae via kinematic label transfer" (HanYuan+25)

description: This repository contains the dataset to reproduce Figure 8 in the paper  "Revealing the ages of metal-rich RR Lyrae via kinematic label transfer"  by HanYuan, Iorio et al., 2025 

The zip file contains a README (README.md) with information about the dataset and a CSV file containgin the data of the Globular Clusters age, metallicity and number of RR Lyrae members found in the literature (GlobularClusters_RRL.csv). The literature references are reported accordingly. The columns are:

- GCname: name of the Globular clusters (as in Cruz Reyes+24 or Alonso-García+25)- NRRL: number of RRL members for each cluster as reported in Cruz Reyes+24 or Alonso-García+25- feh_k19: cluster metallicity as reported in Kruijssen+19 (average value in their tab. A1)- age_k19: cluster age as reported in Kruijssen+19 (average value in their tab. A1) [Gyr]- feh_alt: alternative cluster metallicity (different works, see feh_alt_ref)- feh_alt: alternative cluster age (different works, see age_alt_ref) [Gyr]- feh_alt_ref: reference for the alternative metallicity estimate - age_alt_ref: reference for the alternative age estimate - NRRL_ref: reference for the estimate number of RRL in each cluster
DOI: 10.5281/zenodo.15079962
title: Globular Clusters Dataset from the Paper "Revealing the ages of metal-rich RR Lyrae via kinematic label transfer" (HanYuan+25)

description: This repository contains the dataset to reproduce Figure 8 in the paper  "Revealing the ages of metal-rich RR Lyrae via kinematic label transfer"  by HanYuan, Iorio et al., 2025 

The zip file contains a README (README.md) with information about the dataset and a CSV file containgin the data of the Globular Clusters age, metallicity and number of RR Lyrae members found in the literature (GlobularClusters_RRL.csv). The literature references are reported accordingly. The columns are:

- GCname: name of the Globular clusters (as in Cruz Reyes+24 or Alonso-García+25)- NRRL: number of RRL members for each cluster as reported in Cruz Reyes+24 or Alonso-García+25- feh_k19: cluster metallicity as reported in Kruijssen+19 (average value in their tab. A1)- age_k19: cluster age as reported in Kruijssen+19 (average value in their tab. A1) [Gyr]- feh_alt: alternative cluster metallicity (different works, see feh_alt_ref)- feh_alt: alternative cluster age (different works, see age_alt_ref) [Gyr]- feh_alt_ref: reference for the alternative metallicity estimate - age_alt_ref: reference for the alternative age estimate - NRRL_ref: reference for the estimate number of RRL in each cluster
DOI: 10.5281/zenodo.15189839
title: Dataset for "Highly Efficient Light-Emitting Diodes via Self-Assembled InP Quantum Dots"
DOI: 10.5281/zenodo.15189840
title: Dataset for "Highly Efficient Light-Emitting Diodes via Self-Assembled InP Quantum Dots"
DOI: 10.5281/zenodo.14801402
title: Large-Scale Simulations of Fully Resolved Complex Moving Geometries with Partially Saturated Cells

description: This dataset contains results for benchmarking and physical validation as well as the corresponding plotting scripts (.py) for the publication "Large-Scale Simulations of Fully Resolved Complex Moving Geometries with Partially Saturated Cells".

We also provide the stl file for the counter rotating open rotor (CROR) geometry presented in the publication.

Further, the simulation software waLBerla is included. All simulations are run with the waLBerla software. 

To get the code used for the simulations, checkout the git branch "suffa/integrate_moving_geo" from the waLBerla repository.
DOI: 10.5281/zenodo.14801403
title: Large-Scale Simulations of Fully Resolved Complex Moving Geometries with Partially Saturated Cells

description: This dataset contains results for benchmarking and physical validation as well as the corresponding plotting scripts (.py) for the publication "Large-Scale Simulations of Fully Resolved Complex Moving Geometries with Partially Saturated Cells".

Further, the simulation software waLBerla is included. All simulations are run with the waLBerla software. 

To get the code used for the simulations, checkout the git branch "suffa/integrate_moving_geo" from the waLBerla repository.
DOI: 10.5281/zenodo.15173192
title: Large-Scale Simulations of Fully Resolved Complex Moving Geometries with Partially Saturated Cells

description: This dataset contains results for benchmarking and physical validation as well as the corresponding plotting scripts (.py) for the publication "Large-Scale Simulations of Fully Resolved Complex Moving Geometries with Partially Saturated Cells".

We also provide the stl file for the counter rotating open rotor (CROR) geometry presented in the publication.

Further, the simulation software waLBerla is included. All simulations are run with the waLBerla software. 

To get the code used for the simulations, checkout the git branch "suffa/integrate_moving_geo" from the waLBerla repository.
DOI: 10.5281/zenodo.15189973
title: Large-Scale Simulations of Fully Resolved Complex Moving Geometries with Partially Saturated Cells

description: This dataset contains results for benchmarking and physical validation as well as the corresponding plotting scripts (.py) for the publication "Large-Scale Simulations of Fully Resolved Complex Moving Geometries with Partially Saturated Cells".

We also provide the stl file for the counter rotating open rotor (CROR) geometry presented in the publication.

Further, the simulation software waLBerla is included. All simulations are run with the waLBerla software. 

To get the code used for the simulations, checkout the git branch "suffa/integrate_moving_geo" from the waLBerla repository.
DOI: 10.15468/dl.7ywhpw
title: Occurrence Download

description: A dataset containing 281550 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "TaxonKey is one of (Anaxyrus Tschudi, 1845)"
 ]
}

 The dataset includes 281550 records from 153 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015516-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.28770800
title: S2: A day at the beach: a portrait of British geology through sand

description: Appendix 2 Zircon Lu-Hf Data
DOI: 10.6084/m9.figshare.28770800.v1
title: S2: A day at the beach: a portrait of British geology through sand

description: Appendix 2 Zircon Lu-Hf Data
DOI: 10.6084/m9.figshare.28770803
title: S1: A day at the beach: a portrait of British geology through sand

description: Appendix 1 Zircon U-Pb Data
DOI: 10.5281/zenodo.15173915
title: Machine Learning-Based Lightning Events Prediction in the Third Pole Region, using the ISS-LIS satellite data and corresponding ICON-CLM simulation.

description: The dataset comprises lightning event records captured by the Lightning Imaging Sensor (LIS) onboard the International Space Station (ISS) over the Third Pole region, spanning the period from October 2019 to September 2022. It has been prepared for machine learning applications focused on lightning prediction. The dataset includes the tabularized output of the ISS-LIS retrieval algorithm, detailing the extraction process of spatial and temporal lightning occurrences. Additionally, the methodology used to train six structurally distinct machine learning models is documented, offering a comprehensive framework for replicating and extending the analysis.
DOI: 10.5281/zenodo.15173916
title: Machine Learning-Based Lightning Events Prediction in the Third Pole Region, using the ISS-LIS satellite data and corresponding ICON-CLM simulation.

description: The dataset comprises lightning event records captured by the Lightning Imaging Sensor (LIS) onboard the International Space Station (ISS) over the Third Pole region, spanning the period from October 2019 to September 2022. It has been prepared for machine learning applications focused on lightning prediction. The dataset includes the tabularized output of the ISS-LIS retrieval algorithm, detailing the extraction process of spatial and temporal lightning occurrences. Additionally, the methodology used to train six structurally distinct machine learning models is documented, offering a comprehensive framework for replicating and extending the analysis.
DOI: 10.6084/m9.figshare.28770785
title: Shared datasets:Evaluating microclimatic alterations under rainout shelters: intended and unintended effects of drought manipulations.

description: Rainout shelters are research tools commonly used that simulate drought conditions in climate change experiments, allowing researchers to investigate the effects of reduced precipitation on ecosystem processes. However, these structures can introduce unintended microclimatic effects, such as changes in soil temperature and solar radiation, which can affect the interpretation of drought simulations. This study, conducted at a long-term ecological research station in a Mediterranean shrubland ecosystem, assessed the intended and unintended microclimatic effects of different rainout shelter designs on soil moisture, temperature, and solar radiation. Using sensors, we monitored microclimatic conditions beneath two rainout shelter design types simulating multi-year extreme drought with a 66% rainfall reduction. While rainout shelters effectively reduced soil moisture, the magnitude of reduction was dependant on rainfall distribution. Additionally, rainout shelters increased soil temperatures in winter and decreased them in summer, likely due to wind-blocking and shading. Solar radiation was reduced by up to 40%, depending on shelter design. This study demonstrates how rainout shelters regulate soil moisture, but also unintentionally alter temperature and solar radiation, revealing seasonally contrasting thermal effects and non-linear soil moisture reductions which may complicate the interpretation of drought manipulation experiments. This study also underscores the importance of tailoring experimental setups to specific site conditions, such as soil texture and natural rainfall variability to enhance experimental aims and ecological relevance. By addressing key methodological challenges, this study advances rainfall manipulation experiments and improves predictions of ecosystem responses to climate change.<br>
DOI: 10.15468/dl.66gufp
title: Occurrence Download

description: A dataset containing 345496 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is South Africa",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Asterales"
 ]
}

 The dataset includes 345496 records from 101 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015517-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ravwbt
title: Occurrence Download

description: A dataset containing 281550 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "TaxonKey is one of (Anaxyrus Tschudi, 1845)"
 ]
}

 The dataset includes 281550 records from 153 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015521-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g4pg2q
title: Occurrence Download

description: A dataset containing 1994 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (United States of America, Canada, Iceland, Greenland)",
 "DatasetKey is one of (UAM Mammal Collection (Arctos), Canadian Museum of Nature Mammal Collection, iNaturalist Research-grade Observations, PSM Vertebrates Collection, Observation.org, Nature data from around the World, MSB Host Collection (Arctos), MVZ Mammal Collection (Arctos))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Issue is Geodetic datum assumed WGS84",
 "OccurrenceStatus is Present",
 "TaxonKey is Vulpes lagopus (Linnaeus, 1758)",
 "Year 1950-2025"
 ]
}

 The dataset includes 1994 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015525-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qfhuby
title: Occurrence Download

description: A dataset containing 5694 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Year is greater than or equal to 1981",
 "Year is less than or equal to 2010",
 "HasCoordinate is true",
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "VerbatimScientificName is Ulex gallii",
 "BasisOfRecord is Human Observation",
 "CoordinateUncertaintyInMeters is less than or equal to 1000"
 ]
}

 The dataset includes 5694 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015526-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15183091
title: Data release for simulated muon neutrino charged-current interactions on hydrocarbon without pions in the final state using multiple detectors with correlated energy spectra at T2K.

description: This data release provides additional information about the T2K detector Monte Carlo (MC) simulation used in the extraction of the cross-section for muon neutrino charged-current interactions on hydrocarbon without pions in the final state.For a detailed description please see the included README.pdf document.
DOI: 10.5281/zenodo.15183090
title: Data release for simulated muon neutrino charged-current interactions on hydrocarbon without pions in the final state using multiple detectors with correlated energy spectra at T2K.

description: This data release provides additional information about the T2K detector Monte Carlo (MC) simulation used in the extraction of the cross-section for muon neutrino charged-current interactions on hydrocarbon without pions in the final state.For a detailed description please see the included README.pdf document.
DOI: 10.18168/agrav.m.a10.002
title: Observations made with meter A10-002

description: Observations made with meter A10-002
DOI: 10.18168/agrav.m.a10.012
title: Observations made with meter A10-012

description: Observations made with meter A10-012
DOI: 10.18168/agrav.m.fg5.227
title: Observations made with meter FG5-227

description: Observations made with meter FG5-227
DOI: 10.15468/dl.zpcdg2
title: Occurrence Download

description: A dataset containing 8199 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Alisma gramineum Lej."
 ]
}

 The dataset includes 8199 records from 303 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015527-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18168/agrav.m.fg5.301
title: Observations made with meter FG5-301

description: Observations made with meter FG5-301
DOI: 10.15468/dl.wzmyem
title: Occurrence Download

description: A dataset containing 1290584 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Trifolium repens L.)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1945"
 ]
}

 The dataset includes 1290584 records from 3909 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015523-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2uyud7
title: Occurrence Download

description: A dataset listing the 7 species recorded in GBIF matching the query:
{
 "TaxonKey" : [
 "is Striga asiatica (L.) Kuntze"
 ]
}

 The dataset's 7 records were derived from 158 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018294-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9263tr
title: Occurrence Download

description: A dataset containing 1024508 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Material sample, Material citation, Specimen, Occurrence evidence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Arecaceae"
 ]
}

 The dataset includes 1024508 records from 1710 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018292-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nnsknw
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Helostoma temminckii",
 "Country is Colombia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021102-250920141307145/datasets/export for details.
DOI: 10.15468/dl.hqp5bc
title: Occurrence Download

description: A dataset containing 812 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Arctocephalus townsendi"
 ]
}

 The dataset includes 812 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021100-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/tj3kqu
title: School of Basic Midwifery, Amachara 2025/2026 Admission List Is Out Now Call Admin Office Call 08142094711, (08142094711) To Check And Further Admission Assistance Call +2348142094711.

description: School of Basic Midwifery, Amachara 2025/2026 Admission List Is Out Now Call Admin Office Call 08142094711, (08142094711) To Check And Further Admission Assistance Call +2348142094711.
description: School of Basic Midwifery, Amachara 2025/2026 Admission List Is Out Now Call Admin Office Call 08142094711, (08142094711) To Check And Further Admission Assistance Call +2348142094711.