cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.dr4ze7
title: Occurrence Download

description: A dataset containing 91 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Apios americana",
 "Country is Italy",
 "HasCoordinate is true"
 ]
}

 The dataset includes 91 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009045-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/484b3k
title: Phytoplankton survey of Western Spitsbergen fjords and marginal ice zone

description: Phytoplankton data collected on a scientific cruise in the biology course AB-202 by The University Centre in Svalbard. The data is collected from different fjords on the west coast of Spitsbergen and by the marginal ice zone in the period 26.04.2023-01.05.2023.
DOI: 10.15468/dl.kep7y6
title: Occurrence Download

description: A dataset containing 318 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Laniarius turatii)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 318 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009046-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.txk3t5
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is BOLD:AAJ0060"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009048-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.czjtx4
title: Occurrence Download

description: A dataset containing 131 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "VerbatimScientificName is Camellia chekiangoleosa"
 ]
}

 The dataset includes 131 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009047-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gr3n5f
title: Occurrence Download

description: A dataset containing 635 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Atrina fragilis"
 ]
}

 The dataset includes 635 records from 53 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009050-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sx6dyx
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Platacanthomys lasiurus"
 ]
}

 The dataset includes 11 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009051-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wqcuua
title: Occurrence Download

description: A dataset containing 339634 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 (Pipilo chlorurus)",
 "Country is one of (Bermuda, Canada, Greenland, Saint Pierre and Miquelon, United States of America)"
 ]
}

 The dataset includes 339634 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009025-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nvtrqa
title: Occurrence Download

description: A dataset containing 380 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Nannostomus trifasciatus)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 380 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009052-250802193616735/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.29820215.v1
title: Supplement of Overnight Dexamethasone Suppression Test: Enhanced Accuracy with Late-Afternoon Cortisol and Morning/Late-Afternoon ACTH

description: ----
DOI: 10.15468/dl.gp9gc7
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Laniellus albonotatus)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009053-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5vqnmh
title: Occurrence Download

description: A dataset containing 2062 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Gnaphalium uliginosum",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2062 records from 78 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009055-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ay8xsr
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pueraria lobata",
 "Country is Italy",
 "HasCoordinate is true"
 ]
}

 The dataset includes 15 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009054-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3tyt48
title: Occurrence Download

description: A dataset containing 367 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Malva sylvestris",
 "Country is Ireland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 367 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009056-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15089852
title: Starlink Satellite Detections in Grigg et al. 2025

description: This dataset is a .csv (space separated) file listing all Starlink satellite detections in Grigg et al. 2025 (https://www.aanda.org/articles/aa/full_html/2025/07/aa54787-25/aa54787-25.html) using the Engineering Development Array 2.

Each column is as follows:

0 - datetime as a timestamp. Use str(datetime.utcfromtimestamp(dt_float)) to read it into a string1 - image index - image number in the dataset2 - central frequency (Hz) of the coarse channel3 - norad id4 - fine channel frequency index. 0-30 are the fine channels and 31 is from the stacked image. the 5 - polarisation index. 0 - XX, 1 - YY6 - flux density (Jy/beam). if frequency index (col 4) is 0-30 then it's the pixel value, if frequency index is 31 then it's the fitted flux density7 - tle range (km)8 - right ascension from the fit (deg)9 - declination from the fit (deg)10 - right ascension from the tle predicted position (deg)11 - declination from the tle predicted position (deg)12 - azimuth from the fit (deg)13 - elevation from the fit (deg)14 - x pixel location of the peak of the fit15 - y pixel location of the peak of the fit16 - x pixel location of the tle predicted position17 - y pixel location of the tle predicted position18 - euclidean distance (in pixels) between the fitted and tle predicted locations19 - uncertainty in the x pixel location of the peak of the fit (in pixels) - calculated by doing the sqrt of the diagonal of the covariance of the fit20 - uncertainty in the y pixel location of the peak of the fit (in pixels) - calculated by doing the sqrt of the diagonal of the covariance of the fit

Please note as mentioned above that a fine channel frequency index of 31 is the frequency stacked image (0.90 MHz bandwidth), and that the rest are from fine channel images (28.9 kHz bandwidth).

Some columns like 12 and 13 don't really apply to the fine channels as a fit is only attempted in the stacked image, so the value is just copied from the stacked image at the same timestep.

For more information, please refer to the paper (link will be provided when published), or feel free to drop me an email at dylan.grigg@icrar.org
DOI: 10.5281/zenodo.15089853
title: Starlink Satellite Detections in Grigg et al. 2025

description: This dataset is a .csv (space separated) file listing all Starlink satellite detections in Grigg et al. 2025 (https://www.aanda.org/articles/aa/full_html/2025/07/aa54787-25/aa54787-25.html) using the Engineering Development Array 2.

Each column is as follows:

0 - datetime as a timestamp. Use str(datetime.utcfromtimestamp(dt_float)) to read it into a string1 - image index - image number in the dataset2 - central frequency (Hz) of the coarse channel3 - norad id4 - fine channel frequency index. 0-30 are the fine channels and 31 is from the stacked image. the 5 - polarisation index. 0 - XX, 1 - YY6 - flux density (Jy/beam). if frequency index (col 4) is 0-30 then it's the pixel value, if frequency index is 31 then it's the fitted flux density7 - tle range (km)8 - right ascension from the fit (deg)9 - declination from the fit (deg)10 - right ascension from the tle predicted position (deg)11 - declination from the tle predicted position (deg)12 - azimuth from the fit (deg)13 - elevation from the fit (deg)14 - x pixel location of the peak of the fit15 - y pixel location of the peak of the fit16 - x pixel location of the tle predicted position17 - y pixel location of the tle predicted position18 - euclidean distance (in pixels) between the fitted and tle predicted locations19 - uncertainty in the x pixel location of the peak of the fit (in pixels) - calculated by doing the sqrt of the diagonal of the covariance of the fit20 - uncertainty in the y pixel location of the peak of the fit (in pixels) - calculated by doing the sqrt of the diagonal of the covariance of the fit

Please note as mentioned above that a fine channel frequency index of 31 is the frequency stacked image (0.90 MHz bandwidth), and that the rest are from fine channel images (28.9 kHz bandwidth).

Some columns like 12 and 13 don't really apply to the fine channels as a fit is only attempted in the stacked image, so the value is just copied from the stacked image at the same timestep.

For more information, please refer to the paper (link will be provided when published), or feel free to drop me an email at dylan.grigg@icrar.org
DOI: 10.15468/dl.7638xv
title: Occurrence Download

description: A dataset containing 265 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is DNA barcoding as a tool to explore elasmobranch diversity in environmental DNA off the Banc d’Arguin (Mauritania)"
 ]
}

 The dataset includes 265 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009057-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.4121/42a0af60-7236-44fb-b33c-56a374e2c504.v2
title: Landelijk Grondgebruik Nederland 2024 (LGN2024)

description: LGN2024 is a grid file that shows Dutch land use in 2024 with a spatial resolution of 5m. The legend consists of 51 land use classes and is comparable with LGN2021, LGN2022 and LGN2023. However, some LGN classes changed their definition slightly due to adaptations in the production methodology.<br>LGN2024 is distinguishing the main agricultural crops, forest, water, nature and urban classes. LGN2024 is a continuation of LGN2021, LGN2022 and LGN2023. For LGN2022 compared to LGN2021 some small modifications were made. The most important ones are: - Use of OSM and Top10NL for mapping solar parks- Introduction of small linear water elements- Subdivision of BNL class 200 'Overig grondgebruik' into 200, 220 'Basaltblokken en steenglooiingen and 230 'bebouwd gebied'- Introduction of MRT rules for new nature areas- New dataset 'Agrarisch Natuur- en Landschapsbeheer (ANLb 030 verantwoordingsaanvraag (versie februari 2023)' to define 'Natuurlijk beheerde agrarische graslanden'.- New way to produce the LGN classes 251, 252 and 252.<br>Next to these modifications applied for LGN2022 an additional small set of adaptations were made for LGN2023. The most important ones are:- Next to introduction of small linear water elements in LGN2022 (ditches), small water courses (0.5-3m) in swamp and salt marshes are taken up in LGN2023- Small corrections 'Hoogveen', 'Zoet/zout water' and 'Kwelder' masks- Small adaptations in the Multi Reclass Tool (MRT)- Skipping of postprocessing step for classes 251, 252 and 253 See also 'Factsheet productie LGN2023' for more details.<br>LGN2024 is comparable with the specifications of LGN2023. Main differences are a further improvement of the 'Kwelder' and 'Zoet/zout' masks and the recoding of BRP class 331 ("Grasland, natuurlijk. Met landbouwactiviteiten" naar LGN klasse 45 " Natuurlijk beheerde agrarische graslanden" in stead of LGN class 1 "Agrarisch gras" (LGN2022, LGN2023).<br>The following files were used to create LGN2024: Top10NL (version November 2024), Basis Registratie Percelen 2024 (BRP2024), Basiskaart Natuur en Landschap 2024 (BNL2024), Basisregistratie Adressen en Gebouwen (BAG February 2025), Nieuw Bestand BodemGebruik 2020 (NBBG2020 versie oktober 2024), Beheertypen IMNa (IMNa versie januari 2025), Agrarisch Natuur- en Landschapsbeheer (ANLb 030 verantwoordingsaanvraag 2024 (versie 12 november 2024)) and the Algemeen Hoogtemodel Nederland (AHN4/5). In addition satellite images (particularly Sentinel-2) and aerial photos from 2024 have been used in the classification of the nature area. <br>The dataset is public since July, 22nd 2025 which is made possible by WOT Natuur & Milieu, Het Waterschapshuis, Interprovinciaal Overleg, RIVM and Wageningen Environmental Research.
DOI: 10.5281/zenodo.16736772
title: Bumblebees Kevin data
DOI: 10.15468/dl.nzc9um
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Laniellus langbianis)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 6 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009059-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3m6jtm
title: Occurrence Download

description: A dataset containing 7289 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Indonesia",
 "HasCoordinate is TRUE",
 "TaxonKey is one of (Nauclea, Nauclea officinalis, Nauclea officinalis, Nauclea orientalis, Neesia altissima, Neolamarckia cadamba, Neolitsea, Nepenthaceae, Nepenthes adnata, Nepenthes adnata, Nepenthes albomarginata, Nepenthes ampullaria, Nepenthes aristolochioides, Nepenthes bongso, Nepenthes dubia, Nepenthes eustachya, Nepenthes eustachys, Nepenthes gracilis, Nepenthes gymnamphora, Nepenthes inermis, Nepenthes izumiae, Nepenthes jacquelineae, Nepenthes jamban, Nepenthes, Nepenthes lingulata, Nepenthes longifolia, Nepenthes mirabilis, Nepenthes naga, Nepenthes ovata, Nepenthes pectinata, Nepenthes rafflesiana, Nepenthes reinwardtiana, Nepenthes rhombicaulis, Nepenthes rigidifolia, Nepenthes singalana, Nepenthes sumatrana, Nepenthes talangensis, Nepenthes tobaica, Nephelium cuspidatum, Nephelium, Nephelium lappaceum, Nephelium maingayi, Nephelium ramboutan-ake, Nephelium subfalcatum, Nephelium tuberculatum, Nephelium uncinatum, Neptunia oleracea, Nerium oleander)"
 ]
}

 The dataset includes 7289 records from 52 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009058-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ejrtac
title: Occurrence Download

description: A dataset containing 427 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is India",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is incertae sedis"
 ]
}

 The dataset includes 427 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009060-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2c2bz7
title: Occurrence Download

description: A dataset containing 3454 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Chlorurus bleekeri"
 ]
}

 The dataset includes 3454 records from 67 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009061-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16736780
title: Dataset for Module-Level Electrochemical Impedance Spectroscopy analysis for SOH monitoring of Lithium-ion Batteries

description: This study evaluates the correlation between the state of health and equivalent electrical circuit parameters derived from electrochemical impedance spectroscopy measurements on 2P3S battery modules aged from 100% to 60% state of health.
DOI: 10.5281/zenodo.16736781
title: Dataset for Module-Level Electrochemical Impedance Spectroscopy analysis for SOH monitoring of Lithium-ion Batteries

description: This study evaluates the correlation between the state of health and equivalent electrical circuit parameters derived from electrochemical impedance spectroscopy measurements on 2P3S battery modules aged from 100% to 60% state of health.
DOI: 10.15468/dl.ejhwf7
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Timwoodiellina natans"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009062-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b3etfs
title: Occurrence Download

description: A dataset containing 1595 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Hypostomus ancistroides)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 1595 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009063-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nb6nc8
title: Occurrence Download

description: A dataset containing 1988 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Laniarius poensis)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 1988 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009064-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4jz846
title: Occurrence Download

description: A dataset containing 912 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Araujia sericifera",
 "Country is Italy",
 "HasCoordinate is true"
 ]
}

 The dataset includes 912 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009065-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3fmzm2
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hieracium atratum",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009066-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16736604
title: Data for "Keeping up with the Kardashians: Evidence from a choice experiment with a nationally representative sample"

description: This dataset accompanies the article "Keeping up with the Kardashians: Evidence from a choice experiment with a nationally representative sample" (Journal of Behavioral and Experimental Economics, 106, 102074). It includes data from a discrete choice experiment conducted on a representative sample of Polish adults, examining preferences for absolute income, relative income position, and income trends over time.

Two treatment groups were used to simulate different reference income frames. Estimation was performed in MATLAB using the DCE package (czaj.org) with mixed logit models in WTP space. The data support research on income satisfaction, well-being, and status effects in economic behavior.
DOI: 10.5281/zenodo.16736605
title: Data for "Keeping up with the Kardashians: Evidence from a choice experiment with a nationally representative sample"

description: This dataset accompanies the article "Keeping up with the Kardashians: Evidence from a choice experiment with a nationally representative sample" (Journal of Behavioral and Experimental Economics, 106, 102074). It includes data from a discrete choice experiment conducted on a representative sample of Polish adults, examining preferences for absolute income, relative income position, and income trends over time.

Two treatment groups were used to simulate different reference income frames. Estimation was performed in MATLAB using the DCE package (czaj.org) with mixed logit models in WTP space. The data support research on income satisfaction, well-being, and status effects in economic behavior.