cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.27024652.v1
title: Code: Demographic effects of sanitary policies on European vulture population dynamics: a retrospective modelling approachled Item

description: he prediction of population responses to environmental changes, including the effects of different management scenarios, is a useful tool and a necessary contributor to improving conservation decisions. Empirical datasets based on long-term monitoring studies are essential to assess the robustness of retrospective modelling predictions on biodiversity. These allow checks on the performance of modelling projections and enable improvements to be made to future models, based on the errors detected. Here, we assess the performance of our earlier model to assess the impact of vulture food shortages caused by sanitary regulations on the population dynamics of Spanish vultures during the past decade (2009–2019). This model forecasts the population trends of three vulture species (griffon, Egyptian and bearded vultures) in Spain (home to 90% of the European vulture population) under various food shortage scenarios. We show that it underestimated bearded and griffon vulture population numbers and overestimated Egyptian vultures. The model suggested that the most plausible food shortage scenario involved an approximate 50% reduction of livestock carcass availability in the ecosystem compared with the previous situation without sanitary carcass removal. However, the observed annual population growth for the period 2009–2019 (7.8% for griffon vulture, 2.4% for Egyptian vulture and 3.5% for bearded vulture) showed that food shortages had little impact on vulture population dynamics. After assessing the robustness of the model, we developed a new model with updated demographic parameters and foraging movements under different hypothetical food shortage scenarios for the period 2019–2029. This model forecasts annual population increases of about 3.6% for the bearded vulture, 3.7% for the Egyptian vulture, and 1.1% for the Griffon vulture. Our findings suggest that food shortages due to the implementation of sanitary policies resulted in only a moderate impact on vulture population growth, probably thanks to the supplementary feeding network which provided alternative food. Also important was the availability of alternative food sources (intensive farms, landfills) that were used more regularly than expected. We discuss the computational performance of our modelling approach and its management consequences to improve future conservation measures for these threatened species, which provide essential ecosystem services.
DOI: 10.15468/dl.wkavwe
title: Occurrence Download

description: A dataset containing 3774 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((0.53678 52.10545,3.14928 52.19974,7.91326 57.66354,10.98679 58.79621,14.214 59.03424,23.58828 58.07222,23.62461 58.4625,24.25594 58.74308,25.33153 59.21073,26.14991 59.32764,31.4258 59.73854,31.57947 67.53123,18.51695 70.08371,0.69045 63.46113,0.53678 52.10545))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Pelophylax lessonae (Camerano, 1882)"
 ]
}

 The dataset includes 3774 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017400-240906103802322/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.27024817
title: Stack Trace and Summary-Based

description: Stack Trace and Summary-Based
DOI: 10.5281/zenodo.13757871
title: Dataset for "Advances in Docking Protocols for PPIs: Insights from AlphaFold2 and Molecular Dynamics Refinement"

description: Dataset files used in 'Advances in Docking Protocols for PPIs: Insights from AlphaFold2 and Molecular Dynamics Refinement' (https://github.com/SysBioUAB/docking_benchmark)
DOI: 10.5281/zenodo.13757872
title: Dataset for "Advances in Docking Protocols for PPIs: Insights from AlphaFold2 and Molecular Dynamics Refinement"

description: Dataset files used in 'Advances in Docking Protocols for PPIs: Insights from AlphaFold2 and Molecular Dynamics Refinement' (https://github.com/SysBioUAB/docking_benchmark)
DOI: 10.48597/mhbd-46rk
title: Measurement of Mercury_PBM at Auchencorth Moss

description: Measurement of Mercury_PBM at Auchencorth Moss
DOI: 10.48597/tfkp-p6bv
title: Measurement of Mercury_TGM at Auchencorth Moss

description: Measurement of Mercury_TGM at Auchencorth Moss
DOI: 10.48597/ucrk-7zpv
title: Measurement of Mercury_GOM at Auchencorth Moss

description: Measurement of Mercury_GOM at Auchencorth Moss
DOI: 10.48597/59at-4phv
title: Measurement of Mercury_PBM at Auchencorth Moss

description: Measurement of Mercury_PBM at Auchencorth Moss
DOI: 10.48597/bfww-t3wt
title: Measurement of Mercury_PBM at Auchencorth Moss

description: Measurement of Mercury_PBM at Auchencorth Moss
DOI: 10.48597/cpp8-z8ef
title: Measurement of Mercury_PBM at Auchencorth Moss

description: Measurement of Mercury_PBM at Auchencorth Moss
DOI: 10.48597/erdj-xyvz
title: Measurement of Mercury_PBM at Auchencorth Moss

description: Measurement of Mercury_PBM at Auchencorth Moss
DOI: 10.48597/mh34-w8rf
title: Measurement of Mercury_PBM at Auchencorth Moss

description: Measurement of Mercury_PBM at Auchencorth Moss
DOI: 10.48597/t3yb-n92z
title: Measurement of Mercury_PBM at Auchencorth Moss

description: Measurement of Mercury_PBM at Auchencorth Moss
DOI: 10.48597/xfqg-t7k2
title: Measurement of Mercury_PBM at Auchencorth Moss

description: Measurement of Mercury_PBM at Auchencorth Moss
DOI: 10.48597/yk2y-dyk5
title: Measurement of Mercury_PBM at Auchencorth Moss

description: Measurement of Mercury_PBM at Auchencorth Moss
DOI: 10.48597/yybx-m5f3
title: Measurement of Mercury_PBM at Auchencorth Moss

description: Measurement of Mercury_PBM at Auchencorth Moss
DOI: 10.48597/37n6-xjpn
title: Measurement of Mercury_GOM at Auchencorth Moss

description: Measurement of Mercury_GOM at Auchencorth Moss
DOI: 10.48597/az3e-8zdu
title: Measurement of Mercury_GOM at Auchencorth Moss

description: Measurement of Mercury_GOM at Auchencorth Moss
DOI: 10.48597/cjxe-u4vt
title: Measurement of Mercury_GOM at Auchencorth Moss

description: Measurement of Mercury_GOM at Auchencorth Moss
DOI: 10.48597/dv9d-28xp
title: Measurement of Mercury_TGM at Auchencorth Moss

description: Measurement of Mercury_TGM at Auchencorth Moss
DOI: 10.48597/erf3-s4mk
title: Measurement of Mercury_PBM at Auchencorth Moss

description: Measurement of Mercury_PBM at Auchencorth Moss
DOI: 10.48597/kuhc-77nq
title: Measurement of Mercury_GOM at Auchencorth Moss

description: Measurement of Mercury_GOM at Auchencorth Moss
DOI: 10.48597/m5mm-rtck
title: Measurement of Mercury_GOM at Auchencorth Moss

description: Measurement of Mercury_GOM at Auchencorth Moss
DOI: 10.48597/mcks-jq84
title: Measurement of Mercury_GOM at Auchencorth Moss

description: Measurement of Mercury_GOM at Auchencorth Moss
DOI: 10.48597/ny6a-zjjd
title: Measurement of Mercury_GOM at Auchencorth Moss

description: Measurement of Mercury_GOM at Auchencorth Moss
DOI: 10.48597/usqx-nwby
title: Measurement of Mercury_GOM at Auchencorth Moss

description: Measurement of Mercury_GOM at Auchencorth Moss
DOI: 10.48597/v944-w7bf
title: Measurement of Mercury_GOM at Auchencorth Moss

description: Measurement of Mercury_GOM at Auchencorth Moss
DOI: 10.48597/68zj-w5xb
title: Measurement of Mercury_TGM at Auchencorth Moss

description: Measurement of Mercury_TGM at Auchencorth Moss
DOI: 10.48597/6kgu-9drp
title: Measurement of Mercury_TGM at Auchencorth Moss

description: Measurement of Mercury_TGM at Auchencorth Moss
DOI: 10.48597/bb3a-43jp
title: Measurement of Mercury_TGM at Auchencorth Moss

description: Measurement of Mercury_TGM at Auchencorth Moss
DOI: 10.48597/cyjc-jw2s
title: Measurement of Mercury_PBM at Auchencorth Moss

description: Measurement of Mercury_PBM at Auchencorth Moss
DOI: 10.48597/estm-zanh
title: Measurement of Mercury_TGM at Auchencorth Moss

description: Measurement of Mercury_TGM at Auchencorth Moss
DOI: 10.48597/thjs-pe8z
title: Measurement of Mercury_TGM at Auchencorth Moss

description: Measurement of Mercury_TGM at Auchencorth Moss
DOI: 10.48597/ut3w-zsyx
title: Measurement of Mercury_TGM at Auchencorth Moss

description: Measurement of Mercury_TGM at Auchencorth Moss
DOI: 10.48597/x839-w3pu
title: Measurement of Mercury_TGM at Auchencorth Moss

description: Measurement of Mercury_TGM at Auchencorth Moss
DOI: 10.48597/z46a-hafs
title: Measurement of Mercury_TGM at Auchencorth Moss

description: Measurement of Mercury_TGM at Auchencorth Moss
DOI: 10.48597/zahp-d55x
title: Measurement of Mercury_TGM at Auchencorth Moss

description: Measurement of Mercury_TGM at Auchencorth Moss
DOI: 10.48597/5r9w-rmp7
title: Measurement of Mercury_TGM at Auchencorth Moss

description: Measurement of Mercury_TGM at Auchencorth Moss
DOI: 10.48597/gxza-jzt5
title: Measurement of Mercury_TGM at Auchencorth Moss

description: Measurement of Mercury_TGM at Auchencorth Moss
DOI: 10.48597/umzh-svpw
title: Measurement of Mercury_GOM at Auchencorth Moss

description: Measurement of Mercury_GOM at Auchencorth Moss
DOI: 10.48597/z67r-vygs
title: Measurement of Mercury_TGM at Auchencorth Moss

description: Measurement of Mercury_TGM at Auchencorth Moss
DOI: 10.15468/dl.a4c64p
title: Occurrence Download

description: A dataset containing 202 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lavandula luisieri (Rozeira) Rivas Mart."
 ]
}

 The dataset includes 202 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017402-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.smk22t
title: Occurrence Download

description: A dataset containing 244 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Angiostrongylus cantonensis (Chen, 1935)"
 ]
}

 The dataset includes 244 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017404-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gdwthj
title: Occurrence Download

description: A dataset containing 40160 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Montenegro",
 "DatasetKey is EOD – eBird Observation Dataset"
 ]
}

 The dataset includes 40160 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017405-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vk2hjw
title: Occurrence Download

description: A dataset containing 2287166 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Material sample, Specimen, Living Specimen, Human Observation, Occurrence evidence)",
 "Geometry POLYGON((9.13104 59.04313,12.37963 59.04795,12.37963 60.50954,9.17715 60.51139,9.13104 59.04313))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Tracheophyta"
 ]
}

 The dataset includes 2287166 records from 147 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017399-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8tt548
title: Occurrence Download

description: A dataset containing 25261 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Fish specimens of Bihoro Museum"
 ]
}

 The dataset includes 25261 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017406-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13766990
title: Personalized in silico model for radiation-induced pulmonary fibrosis | (source code, simulation input+output data)

description: This repository concerns the supplementary material data of the research article entitled "Personalised in silico model for radiation-induced pulmonary fibrosis" that is published in the Royal Society Interface journal (rsif.royalsocietypublishing.org). More specifically, the repository contains the source code of the radiation-induced pulmonary fibrosis simulator, the results produced from the medical image analysis of this study (CT scans and RT dosage maps) for each patient case, the input files necessary to run the simulator and the corresponding output produced respectively. Each patient ID corresponds to each case documented in the research article.
DOI: 10.17630/8c2708ca-1363-49d7-8143-05ecba9a386f
title: Data Underpinning Mina Riahi's thesis

description: The data files are embargoed until 15/09/2026
DOI: 10.15468/dl.t2z253
title: Occurrence Download

description: A dataset listing the 1 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((0.73145 7.57033,3.37091 7.57033,3.37091 8.62501,0.73145 8.62501,0.73145 7.57033))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Pterocarpus erinaceus Poir.",
 "Year 1860-2024"
 ]
}

 The dataset's 1 records were derived from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017403-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pfngsu
title: Occurrence Download

description: A dataset containing 77149 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "Country is one of (Germany, Denmark, Poland, Netherlands, Sweden, France, Austria, Russian Federation, Luxembourg, Ukraine, Italy, Estonia, Belgium, Finland, Belarus, Latvia, Switzerland, Norway, Czechia, Hungary, Romania, Lithuania, Slovenia, Serbia, Croatia, Bulgaria, Bosnia and Herzegovina, Moldova, Republic of, Slovakia, Greece, unknown or invalid, North Macedonia, Kosovo, Georgia, Cyprus, Iran (Islamic Republic of), Montenegro)",
 "OccurrenceStatus is Present",
 "TaxonKey is Pelophylax lessonae (Camerano, 1882)"
 ]
}

 The dataset includes 77149 records from 650 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017407-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13767152
title: Secondary Data from Insights from Publishing Open Data in Industry-Academia Collaboration

description: Secondary Data from Insights from Publishing Open Data in Industry-Academia Collaboration

Authors

Per Erik Strandberg [1], Philipp Peterseil [2], Julian Karoliny [3], Johanna Kallio [4], and Johannes Peltola [4].

[1] Westermo Network Technologies AB (Sweden).[2] Johannes Kepler University Linz (Austria)[3] Silicon Austria Labs GmbH (Austria).[4] VTT Technical Research Centre of Finland Ltd. (Finland).

Description

This data is to accompany a paper submitted to Elsevier's data in brief in 2024, with the title Insights from Publishing Open Data in Industry-Academia Collaboration.

Tentative Abstract: Effective data management and sharing are critical success factors in industry-academia collaboration. This paper explores the motivations and lessons learned from publishing open data sets in such collaborations. Through a survey of participants in a European research project that published 13 data sets, and an analysis of metadata from almost 281 thousand datasets in Zenodo, we collected qualitative and quantitative results on motivations, achievements, research questions, licences and file types. Through inductive reasoning and statistical analysis we found that planning the data collection is essential, and that only few datasets (2.4%) had accompanying scripts for improved reuse. We also found that authors are not well aware of the importance of licences or which licence to choose. Finally, we found that data with a synthetic origin, collected with simulations and potentially mixed with real measurements, can be very meaningful, as predicted by Gartner and illustrated by many datasets collected in our research project.

Secondary data from Survey

The file survey.txt contains secondary data from a survey of participants that published open data sets in the 3-year European research project InSecTT.

Secondary data from Zenodo

The file secondary_data_zenodo.json contains secondary data from an analysis of data sets published in Zenodo. It is accompanied with a py-file and a ipynb-file to serve as examples.

License

This data is licenced with the Creative Commons Attribution 4.0 International license. You are free to use the data if you attribute the authors. Read the license text for details.
DOI: 10.5281/zenodo.13767153
title: Secondary Data from Insights from Publishing Open Data in Industry-Academia Collaboration

description: Secondary Data from Insights from Publishing Open Data in Industry-Academia Collaboration

Authors

Per Erik Strandberg [1], Philipp Peterseil [2], Julian Karoliny [3], Johanna Kallio [4], and Johannes Peltola [4].

[1] Westermo Network Technologies AB (Sweden).[2] Johannes Kepler University Linz (Austria)[3] Silicon Austria Labs GmbH (Austria).[4] VTT Technical Research Centre of Finland Ltd. (Finland).

Description

This data is to accompany a paper submitted to Elsevier's data in brief in 2024, with the title Insights from Publishing Open Data in Industry-Academia Collaboration.

Tentative Abstract: Effective data management and sharing are critical success factors in industry-academia collaboration. This paper explores the motivations and lessons learned from publishing open data sets in such collaborations. Through a survey of participants in a European research project that published 13 data sets, and an analysis of metadata from almost 281 thousand datasets in Zenodo, we collected qualitative and quantitative results on motivations, achievements, research questions, licences and file types. Through inductive reasoning and statistical analysis we found that planning the data collection is essential, and that only few datasets (2.4%) had accompanying scripts for improved reuse. We also found that authors are not well aware of the importance of licences or which licence to choose. Finally, we found that data with a synthetic origin, collected with simulations and potentially mixed with real measurements, can be very meaningful, as predicted by Gartner and illustrated by many datasets collected in our research project.

Secondary data from Survey

The file survey.txt contains secondary data from a survey of participants that published open data sets in the 3-year European research project InSecTT.

Secondary data from Zenodo

The file secondary_data_zenodo.json contains secondary data from an analysis of data sets published in Zenodo. It is accompanied with a py-file and a ipynb-file to serve as examples.

License

This data is licenced with the Creative Commons Attribution 4.0 International license. You are free to use the data if you attribute the authors. Read the license text for details.
DOI: 10.15468/dl.angjjn
title: Occurrence Download

description: A dataset containing 74531 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Duttaphrynus melanostictus (Schneider, 1799)"
 ]
}

 The dataset includes 74531 records from 104 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017408-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qxn5ga
title: Occurrence Download

description: A dataset containing 1111 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Material sample, Specimen, Living Specimen, Human Observation, Occurrence evidence)",
 "Geometry POLYGON((-58.87842 -52.20958,-56.87651 -52.21467,-56.89055 -51.03037,-58.87517 -51.03037,-58.87842 -52.20958))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Tracheophyta"
 ]
}

 The dataset includes 1111 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017411-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d7t8ta
title: Occurrence Download

description: A dataset containing 156 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Trichosanthes wallichiana (Ser.) Wight"
 ]
}

 The dataset includes 156 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0131000-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8v8c4q
title: Occurrence Download

description: A dataset containing 329 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 Apalis karamojae (Someren, 1921)"
 ]
}

 The dataset includes 329 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035717-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ed9zk3
title: Occurrence Download

description: A dataset containing 15142 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Robinia pseudoacacia L.)",
 "Continent is Europe",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1999",
 "Year is less than or equal to 2020"
 ]
}

 The dataset includes 15142 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0062472-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9b99kt
title: Occurrence Download

description: A dataset containing 31408 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Specimen",
 "BasisOfRecord is Material sample",
 "BasisOfRecord is Living Specimen"
 ]
 },
 {
 "or" : [
 "Issue is Coordinate rounded",
 "Issue is Geodetic datum assumed WGS84",
 "Issue is Country derived from coordinates"
 ]
 },
 "TaxonKey is Ricinus communis L."
 ]
}

 The dataset includes 31408 records from 367 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0123892-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wm5au6
title: Occurrence Download

description: A dataset containing 1401 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 Dendrocitta frontalis Horsfield, 1840"
 ]
}

 The dataset includes 1401 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035697-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.