cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.7z8hdy
title: Occurrence Download

description: A dataset containing 11482 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is TRUE",
 "HasGeospatialIssue is FALSE",
 "Geometry POLYGON((-100.551 36.917,-71.79 36.917,-71.79 49.612,-100.551 49.612,-100.551 36.917))",
 "Year is greater than or equal to 2024",
 "RecordedBy is one of (kaileybrae, Kaitlin Baughman, kaitzy, Kalvin Chan, karlalala, Karyn Cseff, Kate Bullock, Kate Martin, katherinefrazer, Kelly Cossette, Kelton Adderley-Heron, PhD, Kent Ross, keykimewon, kfisher8589, kiley_rodgers, kjsytsma, kokafishin, krillionaire, Kris Hardy, Kuoni W, Kyle Price, kyra_cheese, lakoocha, Laura H, laurabankey, laurie_vfb, layfad, lefua, Leo DelGiacco, Liam Hood-Hanlon, Lilly, Lissa Deslandes, liznav, LJ Moore-McClelland, llamaboombama, Logan Fox, Logan Stecker, lrodino, Lukas Kramosch, lunamussel, m33jones, macutemec, madie-c, maggies4, Mandi Clark, mangoat1, Marc Jalbert, Marcel Goh, Marcus Popovich, marielikesnature)",
 "TaxonKey is Chordata"
 ]
}

 The dataset includes 11482 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009921-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jxue76
title: Occurrence Download

description: A dataset containing 24403 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Denmark",
 "DatasetKey is Lund University Biological Museum - Botanical collection (LD)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is less than or equal to 3000"
 ]
}

 The dataset includes 24403 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009922-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17233232
title: Groundwater Levels in Brandenburg, Germany: Interpolated Weekly Data from 217 Monitoring Wells

description: This dataset contains processed weekly groundwater level (GWL) time series from 217 monitoring wells across Brandenburg, Germany, covering the period 1991–2024. Original data was downloaded from the LfU Brandenburg Auskunftsplattform Wasser and interpolated using Piecewise Cubic Hermite Polynomials (PCHIP) (Fritsch and Butland, 1984; Virtanen et al., 2020) to create continuous time series for research applications. These files are used in the associated GitHub repository: https://github.com/marie202/GWL_and_Soil_Moisture. For detailed information, please refer to the provided README file.

Key Information





Data Source: Landesamt für Umwelt Brandenburg (LfU) (2025), Auskunftsplattform Wasser. Grundwasserstand (gesamt) [dataset], https://apw.brandenburg.de




Temporal Coverage: 1991–2024 (22–35 years per well), weekly




Data Format: CSV files ({WellID}_weeklyData_GW.csv)




Columns: Date (YYYY-MM-DD), GWL (m a.s.l.)


 



License: Data licence Germany – attribution – version 2.0 (dl-de/by-2-0)



Contributor: Marie-Christin Eckert (m.eckert@tu-berlin.de, ORCID: https://orcid.org/0009-0005-4003-6416)



References





Fritsch, F. N., & Butland, J. (1984). A method for constructing local monotone piecewise cubic interpolants. SIAM Journal on Scientific and Statistical Computing, 5(2), 300-304.

Virtanen, P., Gommers, R., Oliphant, T. E., et al. (2020). SciPy 1.0: fundamental algorithms for scientific computing in Python. Nature Methods, 17(3), 261-272.








 

Acknowledgments

We acknowledge the Landesamt für Umwelt Brandenburg (LfU) for providing open access to groundwater monitoring data through their Auskunftsplattform Wasser portal.
DOI: 10.5281/zenodo.17233231
title: Groundwater Levels in Brandenburg, Germany: Interpolated Weekly Data from 217 Monitoring Wells

description: This dataset contains processed weekly groundwater level (GWL) time series from 217 monitoring wells across Brandenburg, Germany, covering the period 1991–2024. Original data was downloaded from the LfU Brandenburg Auskunftsplattform Wasser and interpolated using Piecewise Cubic Hermite Polynomials (PCHIP) (Fritsch and Butland, 1984; Virtanen et al., 2020) to create continuous time series for research applications. These files are used in the associated GitHub repository: https://github.com/marie202/GWL_and_Soil_Moisture. For detailed information, please refer to the provided README file.

Key Information





Data Source: Landesamt für Umwelt Brandenburg (LfU) (2025), Auskunftsplattform Wasser. Grundwasserstand (gesamt) [dataset], https://apw.brandenburg.de




Temporal Coverage: 1991–2024 (22–35 years per well), weekly




Data Format: CSV files ({WellID}_weeklyData_GW.csv)




Columns: Date (YYYY-MM-DD), GWL (m a.s.l.)


 



License: Data licence Germany – attribution – version 2.0 (dl-de/by-2-0)



Contributor: Marie-Christin Eckert (m.eckert@tu-berlin.de, ORCID: https://orcid.org/0009-0005-4003-6416)



References





Fritsch, F. N., & Butland, J. (1984). A method for constructing local monotone piecewise cubic interpolants. SIAM Journal on Scientific and Statistical Computing, 5(2), 300-304.

Virtanen, P., Gommers, R., Oliphant, T. E., et al. (2020). SciPy 1.0: fundamental algorithms for scientific computing in Python. Nature Methods, 17(3), 261-272.








 

Acknowledgments

We acknowledge the Landesamt für Umwelt Brandenburg (LfU) for providing open access to groundwater monitoring data through their Auskunftsplattform Wasser portal.
DOI: 10.15468/dl.7yruux
title: Occurrence Download

description: A dataset containing 276 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is CHN.29_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Phoenicurus erythrogastrus"
 ]
}

 The dataset includes 276 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009924-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c89g4f
title: Occurrence Download

description: A dataset containing 2986 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Specklinia"
 ]
}

 The dataset includes 2986 records from 167 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009927-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18768190
title: Control part I_Dopamine role_Oikopleura house dynamics
DOI: 10.5281/zenodo.18768191
title: Control part I_Dopamine role_Oikopleura house dynamics
DOI: 10.15468/dl.qcwcsk
title: Occurrence Download

description: A dataset containing 9847 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is TRUE",
 "HasGeospatialIssue is FALSE",
 "Geometry POLYGON((-100.551 36.917,-71.79 36.917,-71.79 49.612,-100.551 49.612,-100.551 36.917))",
 "Year is greater than or equal to 2024",
 "RecordedBy is one of (Marissa Wegher, Mark, Markus K. Legzdins, Marlee Kirk, marshallm7, Marta Rae Weber, martinkelly, marton, marzguitar, Mason Kramer, masshu, Matt Gorman, mattb742, Matthew, Matthew Best, Matthew Ivan, Matthew Kvam, Matthew Spezio, Matthew-Connor Fernandes, matthewmill, mattmelo, Max McCarthy, Max Van Dongen-Miles, Maxfield JonasKrueger, Maximillion (max) Cipov, maxr-s, mbchickey, mcassels, mcmatl1, Megan Hanson, Megan Klemencic, megynottawa, mem20, meyerlondon, mglines, Michael Ferguson, michael_zambardino, Michelle Campbell, Michelle Koskitalo, michieldewit, middleburylane, Mike Cowlard, Mike Durkalec, Mike Lipinski, Mike Mosser, misslynne, mitchoutdoors, mkii, mlkurtz22, mmax)",
 "TaxonKey is Chordata"
 ]
}

 The dataset includes 9847 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009928-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.henjth
title: Occurrence Download

description: A dataset containing 833 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Gastropoda)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((-40 -30,-30 -30,-30 -20,-40 -20,-40 -30))"
 ]
}

 The dataset includes 833 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018739-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.783x9x
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Eurypygiformes)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((-80 -50,-70 -50,-70 -40,-80 -40,-80 -50))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018738-251009101135966/datasets/export for details.
DOI: 10.15468/dl.dj9ust
title: Occurrence Download

description: A dataset containing 3036 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Smerinthus jamaicensis Drury, 1773"
 ]
}

 The dataset includes 3036 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0237841-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.o0edww
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 32 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004711-190813142620410/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c8ipvv
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034700-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2h72j6
title: Occurrence Download

description: A dataset containing 490 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Paonias astylus Drury, 1773"
 ]
}

 The dataset includes 490 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0237829-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bnawzc
title: Occurrence Download

description: A dataset containing 58 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Impatiens lemuriana Eb.Fisch. & Raheliv."
 ]
}

 The dataset includes 58 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033665-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wj9hor
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034667-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cwd1og
title: Occurrence Download

description: A dataset containing 752943289 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Animalia"
 ]
}

 The dataset includes 752943289 records from 14450 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045797-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mhmrww
title: Occurrence Download

description: A dataset containing 130 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "Country is one of (United States of America, United States Minor Outlying Islands, American Samoa, Micronesia (Federated States of), Guam, Marshall Islands, Northern Mariana Islands, Puerto Rico, Palau, Virgin Islands (U.S.))",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 },
 {
 "and" : [
 "TaxonKey is one of (Ellipsoptera puritana (G.Horn, 1871))",
 "OccurrenceStatus is one of (Present)",
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Material sample, Material citation, Specimen, Living Specimen, Occurrence evidence)",
 "HasCoordinate is true"
 ]
 }
 ]
}

 The dataset includes 130 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003748-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/dch8d9m64j.2
title: Data for: A chemical weathering and paleoclimatic reconstruction of the Early Cambrian environment of the Wyoming Craton from the Wind River Canyon, WY paleosol on the Great Unconformity

description: The weathering of continental rocks during the Precambrian-Cambrian transition contributed to the carving of the Great Unconformity and coincided with increasing biodiversity during the Early Cambrian world. We use an early Cambrian paleosol exposed in the Wind River Canyon of Wyoming where it is buried by the overlying mid-Cambrian Flathead Sandstone to assess the paleo-weathering environment and constrain paleoclimate conditions on the Wyoming Craton in Early Cambrian. The ∼ 3 m thick paleo-weathering profile is characterized by complete plagioclase weathering and moderate alkali feldspar weathering with maximum CIA (Chemical Index of Alteration) and PIA (Plagioclase Index of Alteration) reaching 69 and 98, respectively. Higher K concentrations toward the upper part of the profile associated with the authigenic precipitation of sericite clay minerals suggest that modest post-burial K-metasomatism may have overprinted the weathering profile. Our results suggest that the saprolite was developed under a mean annual paleoprecipitation and paleotemperature comparable to modern temperate environments. Geochemical characteristics of this paleosol formed during the final chapter of the Precambrian suggest intensive chemical weathering in the presence of elevated atmospheric CO2 concentration, forming a saprolite profile similar to other, previously described Cambrian and Precambrian-aged paleosols from the North American Craton.
DOI: 10.15468/dl.ms4h5f
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Casuarina equisetifolia",
 "Country is Ghana",
 "HasCoordinate is true"
 ]
}

 The dataset includes 11 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078002-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vmpv4w
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Turdus atrogularis)",
 "Country is one of (Bermuda, Canada, Greenland, Saint Pierre and Miquelon, United States of America)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078000-250717081556266/datasets/export for details.
DOI: 10.21227/braw-yf86
title: "Federated Deep Learning for Scalable and Privacy-Preserving Cross-Regional Power Grid Defect Framewo via UAVs"

description: "6000 abnormal detection images of drones were collected and annotated. "
DOI: 10.15156/bio/sh1407508.10fu
title: SH1407508.10FU

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/sh1407510.10fu
title: SH1407510.10FU

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/sh1407511.10fu
title: SH1407511.10FU

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/sh1407512.10fu
title: SH1407512.10FU

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/sh1407522.10fu
title: SH1407522.10FU

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.