cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.10055071
title: BOP_RODENT - Rodent specialized birds of prey (Circus, Asio, Buteo) in Flanders (Belgium)

description: BOP_RODENT - Rodent specialized birds of prey (Circus, Asio, Buteo) in Flanders (Belgium) is a bird tracking dataset published by the Research Institute for Nature and Forest (INBO). It contains animal tracking data collected by the LifeWatch GPS tracking network for large birds (http://lifewatch.be/en/gps-tracking-network-large-birds) for the project/study BOP_RODENT, using trackers developed by Ornitela (https://www.ornitela.com). The study has been operational since 2020. In total 35 individuals of 5 bird of prey species have been tagged at several locations in Flanders (Belgium), mainly to study their habitat use and migration behaviour. Data are automatically synced with Movebank and from there periodically archived on Zenodo (see https://github.com/inbo/bird-tracking).

Files

Data in this package are exported from Movebank study 1278021460. Fields in the data follow the Movebank Attribute Dictionary and are described in datapackage.json. Files are structured as a Frictionless Data Package. You can access all data in R via https://zenodo.org/records/10055071/files/datapackage.json using frictionless.



datapackage.json: technical description of the data files.

BOP_RODENT-reference-data.csv: reference data about the animals, tags and deployments.

BOP_RODENT-gps-yyyy.csv.gz: GPS data recorded by the tags, grouped by year.


Acknowledgements

This dataset was collected using infrastructure provided by INBO and funded by Research Foundation - Flanders (FWO) as part of the Belgian contribution to LifeWatch. Additional funding was provided by Agentschap voor Natuur en Bos (ANB).
description: Changelog



Add data from 2022.

Update data from 2021.

Add project-id and deploy-on-measurements to the reference-data.

Reference the latest Movebank Attribute Dictionary.
DOI: 10.15468/dl.qzemxu
title: Occurrence Download

description: A dataset containing 110584 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Halyomorpha halys (Stål, 1855)"
 ]
}

 The dataset includes 110584 records from 359 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054133-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fpnwy3
title: Occurrence Download

description: A dataset containing 114485 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Italy",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves",
 "Year 2024-2025"
 ]
}

 The dataset includes 114485 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054137-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.12587129
title: CURLEW_VLAANDEREN - Eurasian curlews (Numenius arquata, Scolopacidae) breeding in Flanders (Belgium)

description: CURLEW_VLAANDEREN - Eurasian curlews (Numenius arquata, Scolopacidae) breeding in Flanders (Belgium) is a bird tracking dataset published by the Research Institute for Nature and Forest (INBO). It contains animal tracking data collected by the LifeWatch GPS tracking network for large birds (http://lifewatch.be/en/gps-tracking-network-large-birds) for the project/study CURLEW_VLAANDEREN, using trackers developed by Ornitela (https://www.ornitela.com). The study has been operational since 2020. In total 5 individuals of Eurasian curlew (Numenius arquata) have been tagged at several locations in Flanders (Belgium), mainly to study their habitat use and migration behaviour. Data are automatically synced with Movebank and from there periodically archived on Zenodo (see https://github.com/inbo/bird-tracking).

Files

Data in this package are exported from Movebank study 1841091905. Fields in the data follow the Movebank Attribute Dictionary and are described in datapackage.json. Files are structured as a Frictionless Data Package. You can access all data in R via https://zenodo.org/records/12587129/files/datapackage.json using frictionless.



datapackage.json: technical description of the data files.

CURLEW_VLAANDEREN-reference-data.csv: reference data about the animals, tags and deployments.

CURLEW_VLAANDEREN-gps-yyyy.csv.gz: GPS data recorded by the tags, grouped by year.


Acknowledgements

This dataset was collected using infrastructure provided by INBO and funded by Research Foundation - Flanders (FWO) as part of the Belgian contribution to LifeWatch. Additional funding was provided by Provincie Vlaams-Brabant. Data were collected in collaboration with Natuurpunt Studie.
description: Changelog



Add data from 2023.

Add a nickname for animal L178457.

Reference the latest Movebank Attribute Dictionary.
DOI: 10.5281/zenodo.15689837
title: Dataset Celebrity Fitness Puri
DOI: 10.15468/dl.tsam89
title: Occurrence Download

description: A dataset containing 640 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Chinese Taipei, China, Hong Kong, Macao)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Clanis bilineata Walker, 1866"
 ]
}

 The dataset includes 640 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054139-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15688607
title: MDS Dataset: The ER membrane protein complex acts as a chaperone for membrane proteins

description: Structure formation of membrane proteins is error-prone and thus requires chaperones that oversee this essential process in cell biology. The ER membrane protein complex (EMC) is well-defined as a transmembrane domain (TMD) insertase. In this study, we characterize an additional chaperone function of the EMC. We use interactomics and systematic studies with model proteins to comprehensively define client features for this EMC chaperone mode. Based on this data, we develop a machine learning tool for client prediction. Mechanistically, our study reveals that the EMC engages TMDs via its EMC1 subunit and modulates their orientation within the lipid bilayer. Productive TMD assembly reduces binding to the EMC chaperone site. Taken together, our study provides detailed insights into an EMC chaperone function, further establishing the role of the EMC as a multifunctional molecular machine in membrane protein biogenesis.

Dataset for the molecular dynamics simulations was created with the following command in the simulations folder:

find -L simulations -name "*.py" -o -name "*.tcl" -o -name "*.pdb" -o -name "*.psf" -o -name "*.namd" -o -name "*.str" -o -name "*.prm" -o -name "*.coor" -o -name "*.xsc" | tar -czvhf klose_meighen-berger_et_al.tar.gz -T -
DOI: 10.5281/zenodo.15688608
title: MDS Dataset: The ER membrane protein complex acts as a chaperone for membrane proteins

description: Structure formation of membrane proteins is error-prone and thus requires chaperones that oversee this essential process in cell biology. The ER membrane protein complex (EMC) is well-defined as a transmembrane domain (TMD) insertase. In this study, we characterize an additional chaperone function of the EMC. We use interactomics and systematic studies with model proteins to comprehensively define client features for this EMC chaperone mode. Based on this data, we develop a machine learning tool for client prediction. Mechanistically, our study reveals that the EMC engages TMDs via its EMC1 subunit and modulates their orientation within the lipid bilayer. Productive TMD assembly reduces binding to the EMC chaperone site. Taken together, our study provides detailed insights into an EMC chaperone function, further establishing the role of the EMC as a multifunctional molecular machine in membrane protein biogenesis.

Dataset for the molecular dynamics simulations was created with the following command in the simulations folder:

find -L simulations -name "*.py" -o -name "*.tcl" -o -name "*.pdb" -o -name "*.psf" -o -name "*.namd" -o -name "*.str" -o -name "*.prm" -o -name "*.coor" -o -name "*.xsc" | tar -czvhf klose_meighen-berger_et_al.tar.gz -T -
DOI: 10.15468/dl.sdduyy
title: Occurrence Download

description: A dataset containing 19986 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Aporrectodea Orley, 1885"
 ]
}

 The dataset includes 19986 records from 143 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054140-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48597/9t2b-bt67
title: PAHs (polycyclic aromatic hydrocarbons, 16) at Virolahti Harju

description: Measurement of PAHs (polycyclic aromatic hydrocarbons, 16) at Virolahti Harju
DOI: 10.48597/839v-dkrs
title: Measurement of PAHs (polycyclic aromatic hydrocarbons) at Virolahti Harju

description: Measurement of PAHs (polycyclic aromatic hydrocarbons) at Virolahti Harju
DOI: 10.48597/ejjx-7ny5
title: Measurement of PAHs (polycyclic aromatic hydrocarbons, 16) at Virolahti Harju

description: Measurement of PAHs (polycyclic aromatic hydrocarbons, 16) at Virolahti Harju
DOI: 10.48597/65sj-mdr4
title: Measurement of PAHs (polycyclic aromatic hydrocarbons) at Virolahti Harju

description: Measurement of PAHs (polycyclic aromatic hydrocarbons) at Virolahti Harju
DOI: 10.48597/djqe-j5dx
title: Measurement of PAHs (polycyclic aromatic hydrocarbons, 16) at Virolahti Harju

description: Measurement of PAHs (polycyclic aromatic hydrocarbons, 16) at Virolahti Harju
DOI: 10.48597/ce45-w6gk
title: PAHs (polycyclic aromatic hydrocarbons) at Virolahti Harju

description: Measurement of PAHs (polycyclic aromatic hydrocarbons) at Virolahti Harju
DOI: 10.5281/zenodo.15689871
title: Daten der Notaufnahmesurveillance

description: Der Datensatz 'Notaufnahmesurveillance' enthält aggregierte Daten der Routinedokumentation aus einer Auswahl deutscher Notaufnahmen aus dem AKTIN-Notaufnahmeregister und bildet die Grundlage für die Notaufnahmesurveillance am RKI.
DOI: 10.5281/zenodo.15689695
title: Parton-to-Jet Mapping proton-proton dataset at 14 TeV

description: This dataset contains simulated proton-proton collision events at $\sqrt s = 14$ TeV simulated with Pythia8. It is intended originally for quantum machine learning tasks that aim to learn mappings between parton-level data (before QCD showering and hadronisation) and jet-level observables (as seen in the detector).

Contents 

- Parton-Level Data: Includes 4-vector components ($E$, $p_x$, $p_y$, $p_z$), particle ID, and charge for two initial partons per event. These represent theoretical pre-hadronisation inputs. - Jet-Level Data: Includes reconstructed jet 4-vectors (up to 5 jets per event, zero-padded), derived using the Anti-$k_t$ algorithm with $R=0.4$.

  Simulation Details

The dataset is generated using the `Pythia8` Monte Carlo event generator, simulating the process $qg \rightarrow Zq$ with $Z \rightarrow q\bar{q}$

The invariant mass and transverse momentum of the hard process are required to exceed 50 GeV. The final-state hadrons are clustered into jets after hadronisation using the Anti-$k_t$ algorithm with $R=0.4$, while multiple parton interactions are disabled to maintain clarity of the underlying parton-to-jet relationship.

This dataset is especially suited for benchmarking classical and quantum machine learning models on a physically rich, structured regression task. It enables exploration of how well models can reconstruct observable final states from incomplete and high-level theoretical inputs. See Aqora LHC challenge.
DOI: 10.5281/zenodo.15689696
title: Parton-to-Jet Mapping proton-proton dataset at 14 TeV

description: This dataset contains simulated proton-proton collision events at $\sqrt s = 14$ TeV simulated with Pythia8. It is intended originally for quantum machine learning tasks that aim to learn mappings between parton-level data (before QCD showering and hadronisation) and jet-level observables (as seen in the detector).

Contents 

- Parton-Level Data: Includes 4-vector components ($E$, $p_x$, $p_y$, $p_z$), particle ID, and charge for two initial partons per event. These represent theoretical pre-hadronisation inputs. - Jet-Level Data: Includes reconstructed jet 4-vectors (up to 5 jets per event, zero-padded), derived using the Anti-$k_t$ algorithm with $R=0.4$.

  Simulation Details

The dataset is generated using the `Pythia8` Monte Carlo event generator, simulating the process $qg \rightarrow Zq$ with $Z \rightarrow q\bar{q}$

The invariant mass and transverse momentum of the hard process are required to exceed 50 GeV. The final-state hadrons are clustered into jets after hadronisation using the Anti-$k_t$ algorithm with $R=0.4$, while multiple parton interactions are disabled to maintain clarity of the underlying parton-to-jet relationship.

This dataset is especially suited for benchmarking classical and quantum machine learning models on a physically rich, structured regression task. It enables exploration of how well models can reconstruct observable final states from incomplete and high-level theoretical inputs. See Aqora LHC challenge.
DOI: 10.15468/dl.agh298
title: Occurrence Download

description: A dataset containing 158579 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is one of (FRA.6_1, FRA.2_1, FRA.1_1, FRA.13_1, FRA.11_1)",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves",
 "Year 2024-2025"
 ]
}

 The dataset includes 158579 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054138-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10054709
title: CURLEW_VLAANDEREN - Eurasian curlews (Numenius arquata, Scolopacidae) breeding in Flanders (Belgium)

description: CURLEW_VLAANDEREN - Eurasian curlews (Numenius arquata, Scolopacidae) breeding in Flanders (Belgium) is a bird tracking dataset published by the Research Institute for Nature and Forest (INBO). It contains animal tracking data collected by the LifeWatch GPS tracking network for large birds (http://lifewatch.be/en/gps-tracking-network-large-birds) for the project/study CURLEW_VLAANDEREN, using trackers developed by Ornitela (https://www.ornitela.com). The study has been operational since 2020. In total 5 individuals of Eurasian curlew (Numenius arquata) have been tagged at several locations in Flanders (Belgium), mainly to study their habitat use and migration behaviour. Data are automatically synced with Movebank and from there periodically archived on Zenodo (see https://github.com/inbo/bird-tracking).

Files

Data in this package are exported from Movebank study 1841091905. Fields in the data follow the Movebank Attribute Dictionary and are described in datapackage.json. Files are structured as a Frictionless Data Package. You can access all data in R via https://zenodo.org/records/10054709/files/datapackage.json using frictionless.



datapackage.json: technical description of the data files.

CURLEW_VLAANDEREN-reference-data.csv: reference data about the animals, tags and deployments.

CURLEW_VLAANDEREN-gps-yyyy.csv.gz: GPS data recorded by the tags, grouped by year.


Acknowledgements

This dataset was collected using infrastructure provided by INBO and funded by Research Foundation - Flanders (FWO) as part of the Belgian contribution to LifeWatch. Additional funding was provided by Provincie Vlaams-Brabant. Data were collected in collaboration with Natuurpunt Studie.
description: Changelog



Add data from 2022.

Add project-id and deploy-on-measurements to the reference-data.

Reference the latest Movebank Attribute Dictionary.
DOI: 10.5281/zenodo.15689844
title: Chinese Scientific Writing
DOI: 10.5281/zenodo.15689845
title: Chinese Scientific Writing
DOI: 10.5281/zenodo.12621787
title: DELTATRACK - Herring gulls (Larus argentatus, Laridae) and lesser black-backed gulls (Larus fuscus, Laridae) breeding at Neeltje Jans (Netherlands)

description: DELTATRACK - Herring gulls (Larus argentatus, Laridae) and lesser black-backed gulls (Larus fuscus, Laridae) breeding at Neeltje Jans (Netherlands) is a bird tracking dataset published by the Research Institute for Nature and Forest (INBO). It contains animal tracking data for the project/study DELTATRACK, using trackers developed by Ornitela (https://www.ornitela.com). The study has been operational since 2020. In total 99 individuals of European herring gull (Larus argentatus) and lesser black-backed gull (Larus fuscus) have been tagged in the breeding colony at Neeltje Jans in the Netherlands, mainly to study their use of offshore waters near the Borssele windpark. Data are automatically synced with Movebank and from there periodically archived on Zenodo (see https://github.com/inbo/bird-tracking).

Files

Data in this package are exported from Movebank study 1258895879. Fields in the data follow the Movebank Attribute Dictionary and are described in datapackage.json. Files are structured as a Frictionless Data Package. You can access all data in R via https://zenodo.org/records/12621787/files/datapackage.json using frictionless.



datapackage.json: technical description of the data files.

DELTATRACK-reference-data.csv: reference data about the animals, tags and deployments.

DELTATRACK-gps-yyyy.csv.gz: GPS data recorded by the tags, grouped by year.


Acknowledgements

This dataset was collected by the Research Institute for Nature and Forest (INBO), Waardenburg Ecology, Buijs Eco Consult and Deltamilieu Projecten. Funding was provided by the Wozep programme of Rijkswaterstaat on behalf of the Ministry of Economic Affairs of the Netherlands. All datasets from Wozep will be made publicly available, unless stated otherwise.
description: Changelog



Add data from 2023.

Reference the latest Movebank Attribute Dictionary.
DOI: 10.25592/uhhfdm.17630
title: An Interview About The History of The Sow Clan in Brikama (NCAC_RDD_TAPE_1028A)

description: Informant's genealogy


<em><sup>Alternative names: So, Sowe Sirra, Darbo, Darboe, Dabo, Daboe, Konteh, Conteh</sup></em>
description: Published by NCAC - National Digital Archive of The Gambia, initiated by University of Hamburg, Asia-Africa-Institute, Germany, funded by Gerda Henkel Foundation, Germany
DOI: 10.25592/uhhfdm.13282
title: An Interview About The History of The Sow Clan in Brikama (NCAC_RDD_TAPE_1028A)

description: Informant's genealogy


<em><sup>Alternative names: So, Sowe Sirra, Darbo, Darboe, Dabo, Daboe, Konteh, Conteh</sup></em>
description: Published by NCAC - National Digital Archive of The Gambia, initiated by University of Hamburg, Asia-Africa-Institute, Germany, funded by Gerda Henkel Foundation, Germany
DOI: 10.15468/dl.8gzvyq
title: Occurrence Download

description: A dataset containing 1895 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Siganus luridus (Rüppell, 1829)"
 ]
}

 The dataset includes 1895 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054144-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57780/prv-80671b0
title: HIGHWAY_PROBAV_L3_S1_TOC_333M

description: Proba-V data in cloud-native format: S1 333M TOC
DOI: 10.48597/7a4e-z3ah
title: Mercury_TGM at Virolahti Harju

description: Measurement of Mercury_TGM at Virolahti Harju
DOI: 10.5281/zenodo.10053658
title: H_GRONINGEN - Western marsh harriers (Circus aeruginosus, Accipitridae) breeding in Groningen (the Netherlands)

description: H_GRONINGEN - Western marsh harriers (Circus aeruginosus, Accipitridae) breeding in Groningen (the Netherlands) is a bird tracking dataset collected by the Grauwe kiekendief - Kenniscentrum Akkervogels (GKA) / Dutch Montagu's Harrier Foundation and published by the Research Institute for Nature and Forest (INBO). It contains animal tracking data collected for the project/study H_GRONINGEN, using trackers developed by the University of Amsterdam Bird Tracking System (UvA-BiTS, http://www.uva-bits.nl). The study was operational from 2012 until 2018. In total 4 individuals of western marsh harriers (Circus aeruginosus) have been tagged in their breeding area in the province Groningen (the Netherlands) close to the Netherlands-Germany border, mainly to study their habitat use and migration behaviour. Data are uploaded from the UvA-BiTS database to Movebank and from there archived on Zenodo (see https://github.com/inbo/bird-tracking). No new data are expected.

See Milotic et al. (2020, https://doi.org/10.3897/zookeys.947.52570) for a more detailed description of this dataset.

Files

Data in this package are exported from Movebank study 922263102. Fields in the data follow the Movebank Attribute Dictionary and are described in datapackage.json. Files are structured as a Frictionless Data Package. You can access all data in R via https://zenodo.org/records/10053658/files/datapackage.json using frictionless.



datapackage.json: technical description of the data files.

H_GRONINGEN-reference-data.csv: reference data about the animals, tags and deployments.

H_GRONINGEN-gps-yyyy.csv.gz: GPS data recorded by the tags, grouped by year.

H_GRONINGEN-acceleration-yyyy.csv.gz: acceleration data recorded by the tags, grouped by year.
description: Changelog



Add alt-project-id to the reference-data.

Reference the latest Movebank Attribute Dictionary.
DOI: 10.48597/e2du-n6nt
title: Measurement of Mercury_TGM at Virolahti Harju

description: Measurement of Mercury_TGM at Virolahti Harju
DOI: 10.48597/u294-bv23
title: Measurement of Heavy metals at Virolahti Harju

description: Measurement of Heavy metals at Virolahti Harju
DOI: 10.48597/y63g-ejqc
title: Measurement of Heavy metals at Virolahti Harju

description: Measurement of Heavy metals at Virolahti Harju
DOI: 10.48597/85uq-43xe
title: Measurement of Mercury_TGM at Virolahti Harju

description: Measurement of Mercury_TGM at Virolahti Harju
DOI: 10.48597/gwes-x2bw
title: Measurement of Heavy metals at Virolahti Harju

description: Measurement of Heavy metals at Virolahti Harju
DOI: 10.48597/v35b-9z34
title: Measurement of Heavy metals at Virolahti Harju

description: Measurement of Heavy metals at Virolahti Harju
DOI: 10.48597/cd3n-xb45
title: Heavy metals at Virolahti Harju

description: Measurement of Heavy metals at Virolahti Harju
DOI: 10.48597/t2c2-yx5v
title: Heavy metals at Virolahti Harju

description: Measurement of Heavy metals at Virolahti Harju
DOI: 10.5281/zenodo.15689362
title: Bioclast Classification in Atomic Force Microscopy Images
DOI: 10.5281/zenodo.15689363
title: Bioclast Classification in Atomic Force Microscopy Images
DOI: 10.34740/kaggle/dsv/12206132
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.pdmxc4
title: Occurrence Download

description: A dataset containing 3533 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is NEON Biorepository Mammal Collection (Vouchers [Standard Sampling])"
 ]
}

 The dataset includes 3533 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054145-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15689909
title: Predicting Disease Activity Score in Rheumatoid Arthritis Patients Treated with bDMARDs Using Machine Learning Models
DOI: 10.5281/zenodo.15689910
title: Predicting Disease Activity Score in Rheumatoid Arthritis Patients Treated with bDMARDs Using Machine Learning Models
DOI: 10.48597/9pxu-t9vt
title: Mercury at Virolahti Harju

description: Measurement of Mercury at Virolahti Harju