cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.76edv4
title: Occurrence Download

description: A dataset containing 730 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-1.89770 37.59120,-0.84150 37.59120,-0.84150 38.01368,-1.89770 38.01368,-1.89770 37.59120))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Circaetus gallicus"
 ]
}

 The dataset includes 730 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054096-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17945481
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Daniel Werner Hamm, http://www.wikidata.org/entity/Q132578119. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q132578119
DOI: 10.5281/zenodo.17945482
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Harold W. Pretz, http://www.wikidata.org/entity/Q127699291. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q127699291
DOI: 10.5281/zenodo.12801147
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Harold W. Pretz, http://www.wikidata.org/entity/Q127699291. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q127699291
DOI: 10.14473/csda/ntszjt
title: Evaluace projektu „Česká republika – snižování nerovností ve vzdělávání“

description: Výzkum prostřednictvím dotazníkového šetření mapoval spokojenost, vnímané problémy, míru stresu, pracovní klima a postoje pedagogických pracovníků (vyučujících a asistentek pedagoga) pěti základních škol. Dotazníkové šetření proběhlo ve dvou vlnách (2023 a 2025) anonymně, žádná kontextová data nejsou k dispozici.
description: Vzhledem ke specifickému vzorku data nelze zveřejnit.
DOI: 10.5281/zenodo.16376974
title: Image-based inference of tumor cell trajectories enables large-scale cancer progression analysis

description: Citation: Liu, Yang, Ling Cai, Ruichen Rong, Shidan Wang, Liwei Jia, Peiran Quan, Qin Zhou, Guanghua Xiao, and Yang Xie. "Image-based inference of tumor cell trajectories enables large-scale cancer progression analysis." Science Advances 11, no. 29 (2025): eadv9466.

PubMed URL: https://pubmed.ncbi.nlm.nih.gov/40680117/

ImagePseudo_test.tar.gz: Testing image pathches of lung adenocarcinoma

model.tar.gz: Pretrained cell differentiation status model

example.svs: example input image file
DOI: 10.5281/zenodo.15659783
title: Image-based inference of tumor cell trajectories enables large-scale cancer progression analysis

description: Citation: Liu, Yang, Ling Cai, Ruichen Rong, Shidan Wang, Liwei Jia, Peiran Quan, Qin Zhou, Guanghua Xiao, and Yang Xie. "Image-based inference of tumor cell trajectories enables large-scale cancer progression analysis." Science Advances 11, no. 29 (2025): eadv9466.

PubMed URL: https://pubmed.ncbi.nlm.nih.gov/40680117/

ImagePseudo_test.tar.gz: Testing image pathches of lung adenocarcinoma

model.tar.gz: Pretrained cell differentiation status model

example.svs: example input image file
DOI: 10.5281/zenodo.17945466
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Ross Ewen Beever, http://www.wikidata.org/entity/Q17418645. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q17418645
DOI: 10.17605/osf.io/c2jxb
title: Anthropometric Data Analysis

description: THE WHO ANTHRO DATA ANALYSER

The Anthro Data Analyzer is an online tool developed by the Department of Nutrition for Health and Development of the World Health Organization (WHO), which allows users to perform comprehensive analysis of anthropometric Data for children under five years of age based on weight and height. 
The analyses are based on the WHO Child Growth Standards.

This online tool is designed to build country capacity on data analysis and reporting on child malnutrition outcomes. It aims to enhance good practice in Data collection, Data analysis, and reporting results.

Data quality assessment report template with results from WHO Anthro Survey Analyser
Analysis date: 2022-08-20 17:59:56
Link:https://worldhealthorg.shinyapps.io/anthro/
This report is a template that includes key data quality checks that can help to identify issues with the data and considerations when interpreting results. 
Other outputs that can be relevant to your analyses can be saved directly from the tool interactive dashboards and added to the report.
For guidance on how to interpret the results, user should refer to the document “Recommendations for improving the quality of anthropometric data and its analysis and reporting” by the Working Group on Anthropometric Data Quality, for the WHO-UNICEF Technical Expert Advisory Group on Nutrition Monitoring (TEAM). 
The document is available at www.who.int/nutrition/team, under “Technical reports and papers”.
Recommended citation:
Report template with results from WHO Anthro Survey Analyser
Analysis date: 2022-08-20 18:00:40
Link:https://worldhealthorg.shinyapps.io/anthro/
DOI: 10.26179/kt62-d339
title: KOMBI 002 2021 Long-term Passive Acoustic Data
DOI: 10.15468/dl.7xmzn2
title: Occurrence Download

description: A dataset containing 154 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Fauna herpetológica de las Reservas Distritales de Humedal de Bogotá, D.C."
 ]
}

 The dataset includes 154 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054098-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bpk9hj
title: Occurrence Download

description: A dataset containing 253 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Material citation)",
 "Continent is Asia",
 "Country is Sri Lanka",
 "TaxonKey is Cetacea"
 ]
}

 The dataset includes 253 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054099-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2czjby
title: Occurrence Download

description: A dataset containing 21 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Mamíferos de la Ecoreserva Tocancipá (Tocancipá, Cundinamarca) - Proyecto Ecoreservas"
 ]
}

 The dataset includes 21 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054100-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/14169564
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.5281/zenodo.17009938
title: Persistent Geographic Patterns of Coral Recruitment in Hawaiʻi

description: Coral recruitment (settlement) by year, location, and coral genus in the southwest corner of Hawaii Island. These data are from the in-review paper:

Asner, G.P., R.R. Carlson, C. Labo, D.E. Harrison, and R.E. Martin. 2025. Persistent geographic patterns of coral recruitment in Hawaii. Oceans 6(80) doi:10.3390/oceans6040080. 

Please cite this paper with any use of the data provided here.
DOI: 10.5281/zenodo.17509540
title: Persistent Geographic Patterns of Coral Recruitment in Hawaiʻi

description: Coral recruitment (settlement) by year, location, and coral genus in the southwest corner of Hawaii Island. These data are from the in-review paper:

Asner, G.P., R.R. Carlson, C. Labo, D.E. Harrison, and R.E. Martin. 2025. Persistent geographic patterns of coral recruitment in Hawaii. Oceans 6(80) doi:10.3390/oceans6040080. 

Please cite this paper with any use of the data provided here.
DOI: 10.15468/dl.6xwdt8
title: Occurrence Download

description: A dataset containing 115 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-111.13818 10.76672,-89.45268 10.76672,-89.45268 28.20482,-111.13818 28.20482,-111.13818 10.76672))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Mammillaria hahniana"
 ]
}

 The dataset includes 115 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054101-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21966/02qp-4945
title: Mystery Creek Aerial Photo and LiDAR Survey - 2025 - Airborne Coastal Observatory
title: Photo aérienne et levé LiDAR de Mystery Creek - 2025 - Observatoire côtier aéroporté

description: As part of the Natural Hazards and Climate Change Geoscience Program at Natural Resources Canada (Geological Survey of Canada), the Hakai Institute has partnered with the GSC to provide high-resolution LiDAR and aerial imagery with the purpose of providing baseline
geoscience information to stakeholders and decision-makers. The Mystery Creek survey represents an add-on to the Indian River survey, which was also conducted in 2025.

The Mystery Creek study area is situated north of Whistler and south of Pemberton, within a region of significant geohazard interest. This site is an area of interest due to the presence of a prehistoric rock avalanche deposit, a feature the GSC has been actively studying through
surficial geology assessments and landslide inventory mapping. The GSC previously had access to provincial LiDAR data covering the deposit area, but lacked data of the head scarp, with this survey being flown at their request to fill this data gap and support ongoing hazard
analyses.
description: Dans le cadre du programme géoscientifique sur les risques naturels et les changements climatiques de Ressources naturelles Canada (Commission géologique du Canada), l'Institut Hakai s'est associé à la GSC pour fournir des images LiDAR et aériennes à haute résolution dans le but de fournir des données de référence des informations géoscientifiques destinées aux parties prenantes et aux décideurs. Le relevé de Mystery Creek constitue un complément au relevé d'Indian River, qui a également été réalisé en 2025.

La zone d'étude de Mystery Creek est située au nord de Whistler et au sud de Pemberton, dans une région présentant un intérêt géologique important. Ce site présente un intérêt en raison de la présence d'un dépôt d'avalanches de roches préhistoriques, une caractéristique que le GSC a étudiée activement par le biais de évaluations de la géologie superficielle et cartographie des inventaires des glissements de terrain. Le GSC avait auparavant accès aux données LiDAR provinciales couvrant la zone de dépôt, mais ne disposait pas de données sur l'écharpe de tête. Cette enquête a été réalisée à sa demande pour combler cette lacune et confirmer le danger persistant analyses.
DOI: 10.15468/dl.pjprb6
title: Occurrence Download

description: A dataset containing 1110267 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Belgium, Germany, Netherlands)",
 "TaxonKey is one of (Ondatra zibethicus, Myocastor coypus)",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 1110267 records from 80 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054094-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qs574t
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Epeorus cumulus Imanishi, 1939",
 "HasCoordinate is true",
 "Country is Japan",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0308038-210914110416597/datasets/export for details.
DOI: 10.15468/dl.2uckrr
title: Occurrence Download

description: A dataset containing 1705 species occurrences available in GBIF matching the query:
{
 "and" : [
 "CoordinateUncertaintyInMeters 0.0-94500.0",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Atelerix Pomel, 1848",
 "Year 1000-2023"
 ]
}

 The dataset includes 1705 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0115234-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ynp999
title: Occurrence Download

description: A dataset containing 193 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hylarana celebensis (Peters, 1872)"
 ]
}

 The dataset includes 193 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0308039-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9mhmn7
title: Occurrence Download

description: A dataset containing 59 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Beaucarnea glassiana (L.Hern. & Zamudio) V.Rojas-Piña"
 ]
}

 The dataset includes 59 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0115245-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5fzn9v
title: Occurrence Download

description: A dataset containing 91 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mirabilis himalaica (Edgew.) Heimerl",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 91 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0284634-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q8eh5m
title: Occurrence Download

description: A dataset containing 2475 species occurrences available in GBIF matching the query:
{
 "and" : [
 "CoordinateUncertaintyInMeters 0.0-94500.0",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Erinaceus roumanicus Barrett-Hamilton, 1900",
 "Year 1000-2023"
 ]
}

 The dataset includes 2475 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0115243-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.brkr4r
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hemidactylus kolliensis Agarwal, Bauer, Giri & Khandekar, 2019"
 ]
}

 The dataset includes 13 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0284659-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bz2dvf
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is CHN.2_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Falco cherrug J.E.Gray, 1834"
 ]
}

 The dataset includes 4 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017637-230810091245214/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4udwrk
title: Occurrence Download

description: A dataset containing 113 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Copiula rivularis (Zweifel, 2000)"
 ]
}

 The dataset includes 113 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0299689-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4yp72t
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Balkoceratidae",
 "Continent is one of (North America, South America)"
 ]
}

 The dataset includes 5 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017623-230810091245214/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tm5uhx
title: Occurrence Download

description: A dataset containing 15566 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pelodytes punctatus (Daudin, 1802)"
 ]
}

 The dataset includes 15566 records from 308 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0308051-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qt3mqu
title: Occurrence Download

description: A dataset containing 403 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Veratrilla baillonii Franch."
 ]
}

 The dataset includes 403 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027699-230810091245214/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hfq8fr
title: Occurrence Download

description: A dataset containing 167049 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Malacostraca",
 "HasCoordinate is true",
 "Country is one of (Norway)",
 "HasGeospatialIssue is false",
 "Year is greater than 2009"
 ]
}

 The dataset includes 167049 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0231309-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.exndks
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Heptagenia flava Rostock, 1878",
 "HasCoordinate is true",
 "Country is Japan",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0308052-210914110416597/datasets/export for details.
DOI: 10.15468/dl.4w9bxn
title: Occurrence Download

description: A dataset containing 376 species occurrences available in GBIF matching the query:
{
 "and" : [
 "CoordinateUncertaintyInMeters 0.0-94500.0",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Erinaceus concolor Martin, 1838",
 "Year 1000-2023"
 ]
}

 The dataset includes 376 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0115244-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.11090022
title: Data release for "Discovering neutron stars with LISA via measurements of orbital eccentricity in Galactic binaries"

description: Posterior samples and code to reproduce all figures associated with Discovering neutron stars with LISA via measurements of orbital eccentricity in Galactic binaries.

The parameter_estimation folder contains the following:



campaigns: Analyses of eccentric quasi-monochromatic binaries, gridding over gravitational-wave frequency, eccentricty, and SNR. See the README inside for more information. The resulting posteriors are used in Figure 3, and the fitting formula Eq. 21. 

fiducial_source_checks: Analyses that vary parameters other than SNR and frequency to investigate the effect on the minimum eccentricity that can be recovered. Used in Figure A1. Posteriors used for Figure 4 are also found in the golden_binary folder. 

nhat_runs: Various analyses used for Figures 5, 6, B1, and C1. See the README inside for more information. Also see the README in eccentric_gb_scripts and links therein.


Within each parameter estimation output folder there are .dat files for quantities such as the source SNR, log evidence, and posterior. There are also configuration .yaml files which are used by the BALROG code. These contain:



lisa_config: Parameters describing the LISA mission, including the duration in seconds. 

nessai_opts: Settings used by nessai (the sampler used in this work). 

priors: Lower and upper limits used for each source parameter. 

sources: Injected values for each source parameter.


The notebooks folder contains code to produce Figures 2, 3, 4, 6, and A1. Also included are notebooks to produce the fitting formula Eq. 21 (emin_grid.ipynb), and to inspect analyses in the campaigns and fiducial_source_checks folders.

The eccentric_gb_scripts folder contains code to produce Figures 1, 5, B1 and C1. See the README inside for more information.
DOI: 10.5281/zenodo.8417769
title: Data release for "Discovering neutron stars with LISA via measurements of orbital eccentricity in Galactic binaries"

description: Posterior samples and code to reproduce all figures associated with Discovering neutron stars with LISA via measurements of orbital eccentricity in Galactic binaries.

The parameter_estimation folder contains the following:



campaigns: Analyses of eccentric quasi-monochromatic binaries, gridding over gravitational-wave frequency, eccentricty, and SNR. See the README inside for more information. The resulting posteriors are used in Figure 3, and the fitting formula Eq. 21. 

fiducial_source_checks: Analyses that vary parameters other than SNR and frequency to investigate the effect on the minimum eccentricity that can be recovered. Used in Figure A1. Posteriors used for Figure 4 are also found in the golden_binary folder. 

nhat_runs: Various analyses used for Figures 5, 6, B1, and C1. See the README inside for more information. Also see the README in eccentric_gb_scripts and links therein.


Within each parameter estimation output folder there are .dat files for quantities such as the source SNR, log evidence, and posterior. There are also configuration .yaml files which are used by the BALROG code. These contain:



lisa_config: Parameters describing the LISA mission, including the duration in seconds. 

nessai_opts: Settings used by nessai (the sampler used in this work). 

priors: Lower and upper limits used for each source parameter. 

sources: Injected values for each source parameter.


The notebooks folder contains code to produce Figures 2, 3, 4, 6, and A1. Also included are notebooks to produce the fitting formula Eq. 21 (emin_grid.ipynb), and to inspect analyses in the campaigns and fiducial_source_checks folders.

The eccentric_gb_scripts folder contains code to produce Figures 1, 5, B1 and C1. See the README inside for more information.