cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3535/tle-6lt-zhv
title: Desmana Güldenstädt, 1777

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/17p-933-18x
title: Olcostephanus

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/6qe-1gc-5hs
title: Sorex Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/y21-q5q-x04
title: †Nummulites Lamarck, 1801

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/mbf-ltk-6s7
title: Bryozoa

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/nx4-rp7-626
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/755-arr-b8f
title: Membranipora de Blainville, 1830

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/tcr-lne-sg5
title: Reteporella Busk, 1884

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/1ln-2zj-dzc
title: Cupuladria canariensis (Busk, 1859)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/0qs-qs4-qv9
title: Megabalanus

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/7qf-eq6-gdp
title: †Trigonopora Maplestone, 1902

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/dp6-cr6-g55
title: Sorex Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/ll9-v0y-fh0
title: Cnidaria

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/9gh-nld-jq4
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/2h7-wgv-0m0
title: Entoliidae Teppner, 1922

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/j79-7h6-rav
title: Bryozoa

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/ed4-sfp-zs6
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/vyb-jdq-gez
title: Sorex Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/73g-vbg-tcb
title: Gen. indet. sp. indet.

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/qp2-f6b-v1k
title: Crisulipora occidentalis Robertson, 1910

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/d17-a1w-ebe
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/2cz-4de-98c
title: Hincksina Norman, 1903

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/61m-c8h-99y
title: Bryozoa

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/t6l-4yr-wk3
title: Bryozoa

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/942-0xp-3wr
title: Setosellina Calvet, 1906

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/s23-x1v-bec
title: Bryozoa

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/g06-g3l-g0g
title: Crisia Lamouroux, 1812

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/hc1-gve-q03
title: Jacksonaster depressum (L. Agassiz, 1841)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/9rz-lg2-7fq
title: Bryozoa

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/ce8-lht-868
title: Porifera Grant, 1836

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/fsw-gh8-dr2
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3886/e243901
title: NNDSS - TABLE 1O. Hansen's disease to Hantavirus pulmonary syndrome

description: NNDSS - TABLE 1O. Hansen's disease to Hantavirus pulmonary syndrome - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

Note:
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.
* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.
† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).
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description: (Downloaded 1/12/2026)
DOI: 10.3886/e243901v1
title: NNDSS - TABLE 1O. Hansen's disease to Hantavirus pulmonary syndrome

description: NNDSS - TABLE 1O. Hansen's disease to Hantavirus pulmonary syndrome - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

Note:
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.
* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.
† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).
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description: (Downloaded 1/12/2026)
DOI: 10.15468/dl.r558w9
title: Occurrence Download

description: A dataset containing 51 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Cajanus albicans"
 ]
}

 The dataset includes 51 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006997-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zqxes9
title: Occurrence Download

description: A dataset containing 3612 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "Country is Zimbabwe",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Bacteria"
 ]
}

 The dataset includes 3612 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015143-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15337931
title: Commercial Liability and Environmental Harm in Crypto Markets: Rethinking ESG, Fiduciary Duty, and Transnational Governance

description: This dataset accompanies the article Commercial Liability and Environmental Harm in Crypto Markets, which analyzes the legal and regulatory gaps surrounding the environmental externalities of cryptocurrency markets—particularly those driven by Bitcoin’s proof-of-work (PoW) mining mechanism. The study draws on publicly available data from the Cambridge Bitcoin Electricity Consumption Index (CBECI) to identify structural breaks in Bitcoin’s annual electricity consumption between 2010 and 2025. These regime shifts—correlated with speculative bubbles, regulatory interventions, and ESG investor pressure—highlight the legal inadequacies of current commercial, fiduciary, and ESG frameworks in internalizing ecological harms.

This Zenodo record contains only the derived analytical outputs and code (e.g., breakpoint detection results using the Pruned Exact Linear Time (PELT) method, figures, and summary tables). The original CBECI dataset is not redistributed here due to copyright restrictions. Interested researchers may obtain the underlying dataset from the Cambridge Centre for Alternative Finance at: https://ccaf.io/cbeci/index.
DOI: 10.5281/zenodo.15337932
title: Commercial Liability and Environmental Harm in Crypto Markets: Rethinking ESG, Fiduciary Duty, and Transnational Governance

description: This dataset accompanies the article Commercial Liability and Environmental Harm in Crypto Markets, which analyzes the legal and regulatory gaps surrounding the environmental externalities of cryptocurrency markets—particularly those driven by Bitcoin’s proof-of-work (PoW) mining mechanism. The study draws on publicly available data from the Cambridge Bitcoin Electricity Consumption Index (CBECI) to identify structural breaks in Bitcoin’s annual electricity consumption between 2010 and 2025. These regime shifts—correlated with speculative bubbles, regulatory interventions, and ESG investor pressure—highlight the legal inadequacies of current commercial, fiduciary, and ESG frameworks in internalizing ecological harms.

This Zenodo record contains only the derived analytical outputs and code (e.g., breakpoint detection results using the Pruned Exact Linear Time (PELT) method, figures, and summary tables). The original CBECI dataset is not redistributed here due to copyright restrictions. Interested researchers may obtain the underlying dataset from the Cambridge Centre for Alternative Finance at: https://ccaf.io/cbeci/index.
DOI: 10.5281/zenodo.15337969
title: Raw data
DOI: 10.5281/zenodo.15337970
title: Raw data
DOI: 10.34780/lvyzrs1b
title: OB007: 3D-Model of Brigde 7 in Mitzpe Schivta

description: The 3D model of Brigde 7 in Mitzpe Schivta showcases one of the bridge of the Ottoman Military Railway that ran between Beersheva and Qusseima in the Negev Desert. The railway was constructed between 1915 and 1916 to supply German and Turkish soldiers fighting the British in Egypt during World War I. The ambitious project consumed enormous resources, despite the Ottoman Empire already being bankrupt. In the Negev, building materials for the construction of bridges, wells and station houses were sourced from archaeological sites. 
One example is Mitzpe Shivta, located just 1 km north of the railway. Historical photographs and documents provide evidence of stone looting at the site. The 3D model highlights the architectural details of the bridge, which were likely built using especially corner stones from Mitzpe Shivta’s buildings. Despite a lack of resources, time constraints, and harsh climatic conditions, the construction of the bridges reflects skilled craftsmanship of stonemasons.

Technical information about the model (OB007): It was created in October 2023 using a DJI Phantom 4 Pro. The software was Bentley Context Capture. The model provided here is available in multiple formats: a merged model in .nxz and .ply format (Merged_Model) and individual tiles in .obj format (Tiles_OBJ).
DOI: 10.15468/dl.txk5z8
title: Occurrence Download

description: A dataset containing 13362558 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Passer domesticus (Linnaeus, 1758)",
 "Year is greater than or equal to 1950",
 {
 "or" : [
 "GadmGid is USA",
 "GadmGid is CAN",
 "GadmGid is MEX"
 ]
 }
 ]
}

 The dataset includes 13362558 records from 121 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015142-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15337787
title: SBOM Dataset from Autopilot-related Open Source Projects

description: This dataset consists of SPDX-compatible Software Bills of Materials (SBOMs) generated on February 25, 2025, from the source code of 530 public GitHub repositories. It was curated to focus on autopilot-related software, following a methodology similar to that employed by Kochanthara et al. in compiling a dataset for automotive software (https://doi.org/10.1145/3524842.3528460).

The GitHub REST API was used to identify repositories associated with autopilot systems by querying relevant topics. An initial list of 35 topics was derived by analyzing those linked to well-known autopilot software projects. Representative topics include advanced-driver-assistance-systems, autonomous, autopilot, drone, rover, and uav. The full list of topics used is available in the accompanying GitHub repository.

All SBOMs are provided in JSON format and were generated via the GitHub API by accessing each repository’s dependency graph.
DOI: 10.5281/zenodo.15337788
title: SBOM Dataset from Autopilot-related Open Source Projects

description: This dataset consists of SPDX-compatible Software Bills of Materials (SBOMs) generated on February 25, 2025, from the source code of 530 public GitHub repositories. It was curated to focus on autopilot-related software, following a methodology similar to that employed by Kochanthara et al. in compiling a dataset for automotive software (https://doi.org/10.1145/3524842.3528460).

The GitHub REST API was used to identify repositories associated with autopilot systems by querying relevant topics. An initial list of 35 topics was derived by analyzing those linked to well-known autopilot software projects. Representative topics include advanced-driver-assistance-systems, autonomous, autopilot, drone, rover, and uav. The full list of topics used is available in the accompanying GitHub repository.

All SBOMs are provided in JSON format and were generated via the GitHub API by accessing each repository’s dependency graph.
DOI: 10.15468/dl.kdjmdv
title: Occurrence Download

description: A dataset containing 12110 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "OccurrenceStatus is Present",
 "TaxonKey is Pandaceae"
 ]
}

 The dataset includes 12110 records from 100 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015144-250426092105405/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.28928015
title: Carpenter_data_README.csv

description: README file describing serological sampling data found in Carpenter_data.csv
DOI: 10.15468/dl.a2g4b3
title: Occurrence Download

description: A dataset containing 37953 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "OccurrenceStatus is Present",
 "TaxonKey is Pandanaceae"
 ]
}

 The dataset includes 37953 records from 246 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015145-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15338002
title: Trajectories and Code Accompanying  "Covalent adducts formed by the androgen receptor transactivation domain and small molecule drugs remain disordered" J Zhu and P Robustelli, Journal of Chemical Informatics and Modeling, 2025

description: Molecular Dynamics Trajectories and Code Accompanying  "Covalent adducts formed by the androgen receptor transactivation domain and small molecule drugs remain disordered" by Jiaqi Zhu and Paul Robustelli.  Published in the Journal of Chemical Informatics and Modeling, 2025
DOI: 10.5281/zenodo.15338003
title: Trajectories and Code Accompanying  "Covalent adducts formed by the androgen receptor transactivation domain and small molecule drugs remain disordered" J Zhu and P Robustelli, Journal of Chemical Informatics and Modeling, 2025

description: Molecular Dynamics Trajectories and Code Accompanying  "Covalent adducts formed by the androgen receptor transactivation domain and small molecule drugs remain disordered" by Jiaqi Zhu and Paul Robustelli.  Published in the Journal of Chemical Informatics and Modeling, 2025
DOI: 10.15468/dl.9umr4y
title: Occurrence Download

description: A dataset containing 4775 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "OccurrenceStatus is Present",
 "TaxonKey is Paracryphiaceae"
 ]
}

 The dataset includes 4775 records from 80 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015148-250426092105405/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.28928018
title: Carpenter_data.csv

description: Results form serological sampling of desert bighorn sheep in California from 1983-2022.
DOI: 10.15468/dl.jw3kcx
title: Occurrence Download

description: A dataset containing 221 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is GBR.3_1",
 "Geometry POLYGON((-5.75334 56.48974,-5.83377 56.31809,-5.48909 55.88879,-4.75376 55.81139,-4.07588 55.97246,-4.12184 56.3754,-4.3861 56.7867,-5.75334 56.48974))",
 "HasGeospatialIssue is false",
 "TaxonKey is Oryctolagus cuniculus (Linnaeus, 1758)",
 "Year 2015-2025"
 ]
}

 The dataset includes 221 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015150-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.54kvpu
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "StateProvince is Queretaro",
 "TaxonKey is Panthera onca (Linnaeus, 1758)"
 ]
}

 The dataset includes 4 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015152-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mr522f
title: Occurrence Download

description: A dataset containing 38429 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "OccurrenceStatus is Present",
 "TaxonKey is Parnassiaceae"
 ]
}

 The dataset includes 38429 records from 562 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015149-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8uwddq
title: Occurrence Download

description: A dataset containing 6678 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "OccurrenceStatus is Present",
 "TaxonKey is Paulowniaceae"
 ]
}

 The dataset includes 6678 records from 360 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015154-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wtj9ds
title: Occurrence Download

description: A dataset listing the 2223 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-114.38284 47.01703,-114.45142 46.5946,-113.6971 46.6043,-113.71727 47.00053,-114.38284 47.01703))",
 "HasGeospatialIssue is false",
 "TaxonKey is Lepidoptera"
 ]
}

 The dataset's 2223 records were derived from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015147-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.