cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.4jn7v6
title: Occurrence Download

description: A dataset containing 40380 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "DatasetKey is one of (Tayside Beaver Survey 2017-18, Survey of the Tayside Area Beaver Population, 2020-2021, Scottish Beaver Trial observations, Knapdale, 2009-2014, Survey of distribution of beavers in Tayside in 2012, National Mammal Atlas Project, online recording, Mammal Mapper App Sighting Records, Loch Lomond NNR - Beaver Field Sign Survey and Sightings Data - 2023-2024, Protected and Invasive Species Records Collected Through Environment Agency Survey 1995 - 2021, INSDC Sequences)",
 "OccurrenceStatus is Present",
 "TaxonKey is Castor fiber",
 "Year 1980-2026"
 ]
}

 The dataset includes 40380 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005767-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6thnn4
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is India",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Ulmus villosa"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007699-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.4121/032e9c27-cb0e-4c97-9f40-57ff1dab41af
title: Data supporting the publication: Delineating the Hybridity of Robotic Artifacts: Pathways to More Thoughtful Design in HRI

description: This dataset accompanies the forthcoming journal article, <em>“Delineating the Hybridity of Robotic Artifacts: Pathways to More Thoughtful Design in HRI,” </em>to be published in <strong>ACM Transactions on Human-Robot Interaction</strong>. The dataset consists of responses to 27 five-point Likert-scale items, which were combined to examine how robotic artifacts simultaneously evoke multiple perceptions and experiences. These measures highlight the multifaceted and hybrid nature of robotic artefacts, demonstrating that robots are not experienced in singular or uniform ways. This insight is critical for designers, as it underscores the importance of thoughtfully considering how robotic artifacts shape diverse user perceptions and interaction experiences.
DOI: 10.4121/032e9c27-cb0e-4c97-9f40-57ff1dab41af.v1
title: Data supporting the publication: Delineating the Hybridity of Robotic Artifacts: Pathways to More Thoughtful Design in HRI

description: This dataset accompanies the forthcoming journal article, <em>“Delineating the Hybridity of Robotic Artifacts: Pathways to More Thoughtful Design in HRI,” </em>to be published in <strong>ACM Transactions on Human-Robot Interaction</strong>. The dataset consists of responses to 27 five-point Likert-scale items, which were combined to examine how robotic artifacts simultaneously evoke multiple perceptions and experiences. These measures highlight the multifaceted and hybrid nature of robotic artefacts, demonstrating that robots are not experienced in singular or uniform ways. This insight is critical for designers, as it underscores the importance of thoughtfully considering how robotic artifacts shape diverse user perceptions and interaction experiences.
DOI: 10.5281/zenodo.18605831
title: Beyond Molecular Structure: Investigating Demographic Factors in Drug-Induced Cardiotoxicity Prediction Models

description: CARBIDE dataset and associated mapping files, raw input data, and aggregated results from paper "Beyond Molecular Structure: Investigating Demographic Factors in Drug-Induced Cardiotoxicity Prediction Models".
DOI: 10.5281/zenodo.18605832
title: Beyond Molecular Structure: Investigating Demographic Factors in Drug-Induced Cardiotoxicity Prediction Models

description: CARBIDE dataset and associated mapping files, raw input data, and aggregated results from paper "Beyond Molecular Structure: Investigating Demographic Factors in Drug-Induced Cardiotoxicity Prediction Models".
DOI: 10.15468/dl.w8ccve
title: Occurrence Download

description: A dataset containing 38589 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is United States of America",
 "PublishingOrg is 28eb1a3f-1c15-4a95-931a-4af90ecb574d",
 "TaxonKey is Cupido comyntas"
 ]
}

 The dataset includes 38589 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007107-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ksf2ue
title: Occurrence Download

description: A dataset containing 27509 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is one of (Africa, Asia, Oceania, Europe, North America, South America)",
 "Country is one of (France, Australia, United States of America, Mexico, Brazil, Netherlands, Argentina, New Zealand, Belgium, Spain)",
 "OccurrenceStatus is Present",
 "TaxonKey is Ludwigia peploides"
 ]
}

 The dataset includes 27509 records from 661 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007700-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8fcfb5
title: Occurrence Download

description: A dataset containing 47890 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Australia",
 "LifeStage is one of (Juvenile, Nestling)",
 "OccurrenceStatus is Present",
 "Year 2015-2026"
 ]
}

 The dataset includes 47890 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007701-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18598028
title: Кому доверить продвижение в ChatGPT — рейтинг агентств
DOI: 10.5281/zenodo.18598027
title: Кому доверить продвижение в ChatGPT — рейтинг агентств
DOI: 10.15468/dl.hr5hv7
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is DEU.9_1",
 "TaxonKey is Serratula tinctoria",
 "Year 2000-2026"
 ]
}

 The dataset includes 20 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007702-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ywkggz
title: Occurrence Download

description: A dataset containing 134 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)"
 ]
 }
 },
 "Year is greater than or equal to 1900",
 "TaxonKey is Atriplex quadrivalvata"
 ]
}

 The dataset includes 134 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007703-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.58160/y1386t33r8229h4m
title: Phase transitions on the dark side of the Gross-Neveu model

description: Raw Quantum Monte Carlo data and processed data to generate figures of the manuscript "Phase transitions on the dark side of the Gross-Neveu model" in https://arxiv.org/abs/2512.04626.
description: We are grateful for funding support from the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany’s Excellence Strategy through the Würzburg-Dresden Cluster of Excellence on Complexity and Topology in Quantum Matter ct.qmat (EXC 2147, Project ID 390858490) as well as under Grant
No. AS 120/19-1 (Project No. 530989922).
description: Auxiliary Field Quanten Monte Carlo Simulations
description: The authors gratefully acknowledge the Gauss Centre for Supercomputing e.V. (www.gauss-centre.eu) for funding this project by providing computing time on the GCS Supercomputer SuperMUC-NG at Leibniz Supercomputing Centre (www.lrz.de).
DOI: 10.5281/zenodo.15260639
title: Three Large Real-World Growing Networks (2B+ nodes, 4B+ edges, 30+ Years of Evolution)

description: This Zenodo deposit is part of the supplemental materials and replication package associated with the preprint, "Empirical Growing Networks vs Minimal Models: Evidence and Challenges from Software Heritage and APS Citation Datasets", available on https://arxiv.org/abs/2501.10145 and http://ssrn.com/abstract=5191689.

Deposit Description

This deposit contains data files related to the construction and analysis of large evolving graphs.

Notes:- All `.pkl` files are serialized Python objects (Pickle format).- All graph data are represented using the Compressed Sparse Row (CSR) format.- The derived graphs (BigO and L0) correspond to different rules for inheritance between nodes after temporal partioning.

The resources are organized as follows:

Main Graph Files

Full O/RV/RL-O/RV/RL graph exported from the raw original export (2021/03/23, SWH).

- `nodes_20240310.pkl`: Nodes array in the main dataset (CSR format).- `edges_20240310.pkl`: Edges array in the main dataset (CSR format).- `nodesad_20240310.pkl`: Node timestamp attributes.- `tsoutlier_20240310.pkl`: Timestamp outlier information.

Total number of nodes = 2,224,378,840Total number of edges = 3,841,679,043

Derived Graph Files

O-(RV/RL)-O graphs derived from the full *O/RV/RL-O/RV/RL* graph, after applying temporal partitioning, with inheritance (`BigO` rule) or without inheritance (`L0` rule).

Derived Graph using the `BigO` Rule

- `nodes_o_derived_O-RVRL-O_BigO_20240429.pkl`: Nodes array for the derived graph under the BigO inheritance rule.- `edges_o_derived_O-RVRL-O_BigO_20240429.pkl`: Edges array for the derived graph under the BigO inheritance rule.- `nodesadderived_derived_O-RVRL-O_BigO_20240429.pkl`: Node timestamp attributes for the BigO-derived graph.

Total number of nodes = 139,524,533Total number of edges = 156,682,302

Derived Graph using the `L0` Rule

- `nodes_o_derived_O-RVRL-O_L0_20240429.pkl`: Nodes array for the derived graph under the L0 inheritance rule.- `edges_o_derived_O-RVRL-O_L0_20240429.pkl`: Edges array for the derived graph under the L0 inheritance rule.

Total number of nodes = 139,524,533Total number of edges = 149,732,521

Metadata and Additional Information

- `id_unreal_origins_20210321.txt`: List of indexes of approximately 8,000 origin nodes identified as unreal (relevant for both the main graph and the derived graphs; see the Replication Package for detailed information).

Documentation

- `README.md`: Provides general information about this deposit, including a link to the associated preprint, copyright, and credit information.
DOI: 10.5281/zenodo.15260640
title: Three Large Real-World Growing Networks (2B+ nodes, 4B+ edges, 30+ Years of Evolution)

description: This Zenodo deposit is part of the supplemental materials and replication package associated with the preprint, "Empirical Growing Networks vs Minimal Models: Evidence and Challenges from Software Heritage and APS Citation Datasets", available on https://arxiv.org/abs/2501.10145 and http://ssrn.com/abstract=5191689.

Deposit Description

This deposit contains data files related to the construction and analysis of large evolving graphs.

Notes:- All `.pkl` files are serialized Python objects (Pickle format).- All graph data are represented using the Compressed Sparse Row (CSR) format.- The derived graphs (BigO and L0) correspond to different rules for inheritance between nodes after temporal partioning.

The resources are organized as follows:

Main Graph Files

Full O/RV/RL-O/RV/RL graph exported from the raw original export (2021/03/23, SWH).

- `nodes_20240310.pkl`: Nodes array in the main dataset (CSR format).- `edges_20240310.pkl`: Edges array in the main dataset (CSR format).- `nodesad_20240310.pkl`: Node timestamp attributes.- `tsoutlier_20240310.pkl`: Timestamp outlier information.

Total number of nodes = 2,224,378,840Total number of edges = 3,841,679,043

Derived Graph Files

O-(RV/RL)-O graphs derived from the full *O/RV/RL-O/RV/RL* graph, after applying temporal partitioning, with inheritance (`BigO` rule) or without inheritance (`L0` rule).

Derived Graph using the `BigO` Rule

- `nodes_o_derived_O-RVRL-O_BigO_20240429.pkl`: Nodes array for the derived graph under the BigO inheritance rule.- `edges_o_derived_O-RVRL-O_BigO_20240429.pkl`: Edges array for the derived graph under the BigO inheritance rule.- `nodesadderived_derived_O-RVRL-O_BigO_20240429.pkl`: Node timestamp attributes for the BigO-derived graph.

Total number of nodes = 139,524,533Total number of edges = 156,682,302

Derived Graph using the `L0` Rule

- `nodes_o_derived_O-RVRL-O_L0_20240429.pkl`: Nodes array for the derived graph under the L0 inheritance rule.- `edges_o_derived_O-RVRL-O_L0_20240429.pkl`: Edges array for the derived graph under the L0 inheritance rule.

Total number of nodes = 139,524,533Total number of edges = 149,732,521

Metadata and Additional Information

- `id_unreal_origins_20210321.txt`: List of indexes of approximately 8,000 origin nodes identified as unreal (relevant for both the main graph and the derived graphs; see the Replication Package for detailed information).

Documentation

- `README.md`: Provides general information about this deposit, including a link to the associated preprint, copyright, and credit information.
DOI: 10.15468/hppmbm
title: A success for community science: Carmenta brachyclados sp. nov. (Lepidoptera, Sesiidae, Synanthedonini), a clearwing moth from Guyana discovered with its hostplant indoors in Wales (United Kingdom)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Sterling, Mark J., Cadet, Daisy T., Beasley, Jordan, Lees, David C. (2024): A success for community science: Carmenta brachyclados sp. nov. (Lepidoptera, Sesiidae, Synanthedonini), a clearwing moth from Guyana discovered with its hostplant indoors in Wales (United Kingdom). Nota Lepidopterologica 47: 201-218, DOI: 10.3897/nl.47.130138Abstract.A new species of Sesiidae, Carmenta brachyclados Sterling & Lees, 2024 is described from adult specimens, pupal exuviae and larval borings which were accidentally transported to South Wales, United Kingdom. DNA barcoding and morphological evidence shows that this species is native to the Neotropics, where it feeds in the seedpods of the leguminous tree, Mora excelsa Benth. (Fabaceae: Caesalpinioideae) and that it is related to a group of seed-feeding species of clearwing moths within the genus Carmenta Edwards, 1881, naturally occurring in the Neotropics and southern Nearctic, although C. mimosa Eichlin & Passoa, 1984 has been introduced in Australia and elsewhere as a biological agent.
DOI: 10.5281/zenodo.13683294
title: BALTRAD_VPTS - Vertical profiles of biological targets derived from European weather radars

description: BALTRAD_VPTS - Vertical profiles of biological targets derived from European weather radars is a vertical profile time series dataset published by the Research Institute for Nature and Forest (INBO). It contains animal movement data derived from 151 European weather radars in 18 countries, with varying coverage from 2012 to 2023. These data were created by processing weather radar data - provided by the Operational Programme for the Exchange of Weather Radar Information (OPERA) - with methods optimized for extracting bird targets. The resulting data are vertical profile time series (VPTS), containing the density, speed and direction of biological targets within a weather radar (radar) volume, grouped into altitude bins (height) and measured over time (datetime). The data are also available in the Aloft data portal.



See Desmet et al. (2025, https://doi.org/10.1038/s41597-025-04641-5) for a more detailed description of this dataset.


Files

VPTS data in this deposit are organized per country (.tgz file), radar (directory), year (directory) and month (.csv.gz file). Fields in the data follow the VPTS CSV format and are described in vpts-csv-table-schema.json. An overview of what data are available is provided in coverage.csv. Radar metadata can be found at https://aloftdata.eu/radars/.



coverage.csv: coverage of the VPTS data, representing the number of unique hours, heights, source files and records for each radar and date combination.

vpts-csv-table-schema.json: technical description of the fields in the VPTS data.

be.tgz: VPTS data from 2 radars in Belgium.

ch.tgz: VPTS data from 5 radars in Switzerland.

cz.tgz: VPTS data from 2 radars in Czechia.

de.tgz: VPTS data from 20 radars in Germany.

dk.tgz: VPTS data from 5 radars in Denmark.

ee.tgz: VPTS data from 2 radars in Estonia.

es.tgz: VPTS data from 15 radars in Spain.

fi.tgz: VPTS data from 13 radars in Finland.

fr.tgz: VPTS data from 26 radars in France.

hr.tgz: VPTS data from 7 radars in Croatia.

il.tgz: VPTS data from 1 radar in Israel.

nl.tgz: VPTS data from 3 radars in the Netherlands.

no.tgz: VPTS data from 11 radars in Norway.

pl.tgz: VPTS data from 8 radars in Poland.

pt.tgz: VPTS data from 3 radars in Portugal.

se.tgz: VPTS data from 22 radars in Sweden.

si.tgz: VPTS data from 2 radars in Slovenia.

sk.tgz: VPTS data from 4 radars in Slovakia.


Acknowledgements

This dataset was processed using infrastructure provided by the University of Amsterdam, SURF Cooperative, Ghent University and the Research Institute for Nature and Forest (INBO). It was mainly supported by the GloBAM project, funded through the 2017-18 Belmont Forum and BiodivERsA joint call for research proposals under the BiodivScen ERA-Net COFUND programme.
description: This version adds a coverage.csv file.
DOI: 10.5281/zenodo.13683295
title: BALTRAD_VPTS - Vertical profiles of biological targets derived from European weather radars

description: BALTRAD_VPTS - Vertical profiles of biological targets derived from European weather radars is a vertical profile time series dataset published by the Research Institute for Nature and Forest (INBO). It contains animal movement data derived from 151 European weather radars in 18 countries, with varying coverage from 2012 to 2023. These data were created by processing weather radar data - provided by the Operational Programme for the Exchange of Weather Radar Information (OPERA) - with methods optimized for extracting bird targets. The resulting data are vertical profile time series (VPTS), containing the density, speed and direction of biological targets within a weather radar (radar) volume, grouped into altitude bins (height) and measured over time (datetime). The data are also available in the Aloft data portal.

Files

Data in this deposit are organized per country (.tgz file), radar (directory), year (directory) and month (.csv.gz file). Fields in the data follow the VPTS CSV format and are described in vpts-csv-table-schema.json. Radar metadata can be found at https://aloftdata.eu/radars/.



vpts-csv-table-schema.json: technical description of the fields.

be.tgz: data from 2 radars in Belgium.

ch.tgz: data from 5 radars in Switzerland.

cz.tgz: data from 2 radars in Czechia.

de.tgz: data from 20 radars in Germany.

dk.tgz: data from 5 radars in Denmark.

ee.tgz: data from 2 radars in Estonia.

es.tgz: data from 15 radars in Spain.

fi.tgz: data from 13 radars in Finland.

fr.tgz: data from 26 radars in France.

hr.tgz: data from 7 radars in Croatia.

il.tgz: data from 1 radar in Israel.

nl.tgz: data from 3 radars in the Netherlands.

no.tgz: data from 11 radars in Norway.

pl.tgz: data from 8 radars in Poland.

pt.tgz: data from 3 radars in Portugal.

se.tgz: data from 22 radars in Sweden.

si.tgz: data from 2 radars in Slovenia.

sk.tgz: data from 4 radars in Slovakia.


Acknowledgements

This dataset was processed using infrastructure provided by the University of Amsterdam, SURF Cooperative, Ghent University and the Research Institute for Nature and Forest (INBO). It was mainly supported by the GloBAM project, funded through the 2017-18 Belmont Forum and BiodivERsA joint call for research proposals under the BiodivScen ERA-Net COFUND programme.
DOI: 10.5281/zenodo.18395460
title: TABLE 1 in FAMILY SIMULIIDAE

description: TABLE 1. Simuliidae species recorded from Colombia.
GenusSubgenusGroupSpeciesAuthorGigantodaxbrophyichilensisPhilippi, 1865multituberculatusWygodzynsky & Coscarón, 1989ortiziWygodzynsky, 1973osornorumMuñoz de Hoyos, Martínez, Mejia & Bueno, 1994paranomorumWygodzynsky & Coscarón, 1989zumbahueWygodzynsky & Coscarón, 1989cilicinusarrarteorumWygodzynsky & Coscarón, 1989basinflatusWygodzynsky & Coscarón, 1989destitutusWygodzynsky & Coscarón, 1989cormonsibrevisWygodzynsky & Coscarón, 1989gracilisWygodzynsky & Coscarón, 1987leonorumWygodzynsky & Coscarón, 1989misituWygodzynsky & Coscarón, 1989siberianusWygodzynsky & Coscarón, 1989vulcanicusWygodzynsky & Coscarón, 1987wygodzynskyMoncada, Muñoz de Hoyos & Bueno, 1981multifilismultifilisWygodzynsky & Coscarón, 1989wrighticervicornisWygodzynsky, 1973cypellusWygodzynsky & Coscarón, 1989nasutusWygodzynsky & Coscarón, 1989septenariusWygodzynsky & Coscarón, 1989SimuliumAspathiamatteabranchiumAnduze, 1947metallicumBellardi, 1859NotolepriaexiguumRoubaud, 1906PsaroniocompsaamazonicumamazonicumGoeldi, 1905argentiscutumShelley & Dias, 1980oyapokenseFloch & Abonnec, 1946sanguineumKnab, 1915auristriatumschmidtmummiWygodzynsky, 1973inaequalesubnigrumLutz, 1910incrustatumincrustatumLutz, 1910jujuyensePaterson & Shannon, 1928quadrifidumquadrifidumLutz, 1917quadrivittatumquadrivittatumLoew, 1862PsilopelmiabicoloratumarcabucenseCoscarón, 1990bicoloratumMalloch, 1912bicornutumWygodzynsky & Coscarón, 1982cormonsiWygodzynsky, 1971callidum(Dyar & Shannon, 1927)furcillatumWygodzynsky & Coscarón, 1982ignescensRoubaud, 1906pautenseCoscarón & Takaoka, 1989pifanoiRamírez Pérez, 1971tolimaenseCoscarón, 1984tunjaCoscarón, 1990dinelliidinellii(Joan, 1912)ochraceumWalker, 1861shewellianumCoscarón, 1984perflavumrorotaenseFloch &Abonnenc, 1946romanaialbanenseCoscarón, 1990anaimenseCoscarón & Muñoz de Hoyos, 1995escomeliRoubaud, 1909gabaldoniRámirez Pérez, 1971haemotopotumMalloch, 1914lutzianumPinto, 1931machetorumMantilla, Moncada, Matta & Adler, 2013romanaiWygodzynsky, 1951samboniJennings, 1915PternaspathanigristatumquimbayiumMantilla et al., 2013TrichodagmiaorbitalemuiscorumBueno, Moncada & Muñoz de Hoyos, 1979nigrimanumMacquart, 1838orbitaleLutz, 1910scutistriatumLutz, 1909sumapazenseCoscarón & Py-Daniel, 1989townsendiMalloch, 1912tarsatumpayneiVargas, 1942pulverulentumKnab, 1915rubrithoraxLutz, 1909tarsatumMacquart, 1846virgatumCoquillett, 1902
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description: Published as part of Wolff, Marta I., Miranda-Esquivel, Daniel Rafael & Moncada-Alvarez, Ligia Ines, 2016, FAMILY SIMULIIDAE, pp. 169-171 in Zootaxa 4122 (1) on page 169, DOI: 10.11646/zootaxa.4122.1.17, http://zenodo.org/record/264426