cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.20455626
title: Supplementary material for efficient lipid profile characterization of mozzarella cheese

description: Raw files of negative and positive ionization modes, acquired with a Q-Exactive Focus Orbitrap Mass Spectrometer (Thermo Fisher Scientific, Waltham, MA, USA) for the detailed lipidomic profile of mozzarella cheese, were reported. The lipid extraction was performed using an optimized accelerated solvent extraction procedure (Dionex™ ASE™ 350, Thermo Fisher Scientific, Waltham, MA USA) and the chromatographic separation was carried out with an UHPLC Ultimate 3000 system with a binary pump and a WPS-3000 autosampler TSL Analytical Split-Loop Thermostatted (Thermo Fisher Scientific, Waltham, MA, USA).
DOI: 10.6084/m9.figshare.20455626.v1
title: Supplementary material for efficient lipid profile characterization of mozzarella cheese

description: Raw files of negative and positive ionization modes, acquired with a Q-Exactive Focus Orbitrap Mass Spectrometer (Thermo Fisher Scientific, Waltham, MA, USA) for the detailed lipidomic profile of mozzarella cheese, were reported. The lipid extraction was performed using an optimized accelerated solvent extraction procedure (Dionex™ ASE™ 350, Thermo Fisher Scientific, Waltham, MA USA) and the chromatographic separation was carried out with an UHPLC Ultimate 3000 system with a binary pump and a WPS-3000 autosampler TSL Analytical Split-Loop Thermostatted (Thermo Fisher Scientific, Waltham, MA, USA).
DOI: 10.6084/m9.figshare.20456856
title: Results

description: Data for IJPR submitted paper
DOI: 10.6084/m9.figshare.20456856.v1
title: Results

description: Data for IJPR submitted paper
DOI: 10.17894/ucph.6cbaf65a-02b5-4087-a478-fa83f44e3b9d
title: Simulated precipitation fields for all members for all PGW experiements and control runs.
DOI: 10.5281/zenodo.6977000
title: Descriptive representation of immigrant-origin citizens at the 2018 Local elections in Flanders

description: This dataset contains information about the descriptive representation of immigrant-origin citizens at the 2018 local elections in Flanders. It covers 31,176 candidates over 1,312 lists. For each candidate list, this dataset contains information about the percentage of immigrant-origin candidates, their average relative list position and the proportion of elected immigrant-origin candidates. Extra variables are added at the party level (e.g. whether it was part of the local government prior to the 2018 local elections or whether the head of list had an immigrant background) and municipality level (e.g. population density or percentage of the immigrant-origin population) to allow a profound examination of which factors steer the descriptive representation of immigrant-origin citizens. The updated version also includes information about the gendered selection of the immigrant-origin candidates. During this additional coding process, I discovered some small coding errors included in the original version. These errors are corrected in the updated version.
DOI: 10.5281/zenodo.6977073
title: Surveying the Open Science Knowledge in a Southern Brazilian University - Survey Questions and Answers

description: Surveying the Open Science Knowledge in a Southern Brazilian University - Survey Questions and Answers
DOI: 10.5281/zenodo.3715881
title: Descriptive representation of immigrant-origin citizens at the 2018 Local elections in Flanders

description: This dataset contains information about the descriptive representation of immigrant-origin citizens at the 2018 local elections in Flanders. It covers 31,176 candidates over 1,312 lists. For each candidate list, this dataset contains information about the percentage of immigrant-origin candidates, their average relative list position and the proportion of elected immigrant-origin candidates. Extra variables are added at the party level (e.g. whether it was part of the local government prior to the 2018 local elections or whether the head of list had an immigrant background) and municipality level (e.g. population density or percentage of the immigrant-origin population) to allow a profound examination of which factors steer the descriptive representation of immigrant-origin citizens. The updated version also includes information about the gendered selection of the immigrant-origin candidates. During this additional coding process, I discovered some small coding errors included in the original version. These errors are corrected in the updated version.
DOI: 10.5281/zenodo.6977072
title: Surveying the Open Science Knowledge in a Southern Brazilian University - Survey Questions and Answers

description: Surveying the Open Science Knowledge in a Southern Brazilian University - Survey Questions and Answers
DOI: 10.5281/zenodo.6892165
title: Code and data: Slush limits of the western flank of the Greenland Ice Sheet, mapped from MODIS, 2000 - 2021

description: Code and output of the slush limit detection for the western flank of the Greenland Ice Sheet, as described in Machguth, H., A. Tedstone and E. Mattea (2022), <strong>Daily Variations in Western Greenland Slush Limits, 2000 to 2021, mapped from MODIS</strong>, <em>Journal of Glaciology, </em>https://doi.org/10.1017/jog.2022.65<em>.</em>
DOI: 10.5281/zenodo.6892164
title: Code and data: Slush limits of the western flank of the Greenland Ice Sheet, mapped from MODIS, 2000 - 2021

description: Code and output of the slush limit detection for the western flank of the Greenland Ice Sheet, as described in Machguth, H., A. Tedstone and E. Mattea (2022), <strong>Daily Variations in Western Greenland Slush Limits, 2000 to 2021, mapped from MODIS</strong>, <em>Journal of Glaciology, </em>https://doi.org/10.1017/jog.2022.65<em>.</em>
DOI: 10.5066/p9oi0e5p
title: Hawaii Island bird activity from 2014 through 2019

description: We used an automated radio telemetry network to document the activity of radio telemetered Hawaiian forest birds in two study sites, one a continuous forest and the other a fragmented forest. Four bird species were studied: the nectarivorous 'i'iwi (Drepanis coccinea) and 'apapane (Himatione sanguinea), the frugivorous 'oma'o (Myadestes obscurus), and the generalist Hawai'i 'amakihi (Chlorodrepani virens; hereafter 'amakihi). In the continuous forest we also tracked two non-native species: the frugivorous red-billed leiothrix (Leiothrix lutea), and the generalist warbling white-eye (Zosterops japonicus). Using sequential changes in radio signal strength we were able to estimate when birds were moving or resting. This data release consists of one tabular dataset with 2,026,289 records that contains the bird information, designated activity characterization, telemetry network information, and signal strength.
DOI: 10.5281/zenodo.6728167
title: ICB_Samstein

description: ICB_Samstein data object generated by ORCESTRA.
DOI: 10.5281/zenodo.6728166
title: ICB_Samstein

description: ICB_Samstein data object generated by ORCESTRA.
DOI: 10.5281/zenodo.6976850
title: GENEA Challenge 2022 submitted BVH files

description: This Zenodo repository contains 3D motion in the Biovision Hierarchy (BVH) format for all test-set motion submitted by teams participating in the GENEA Challenge 2022. Contents: The "full-body" zip file corresponds to the full-body tier of the challenge and the "upper-body" file to the upper-body tier. The repository also contains the time stamps for cutting out the evaluation segments we used (matched and mismatched) in the file "segment_selection_info.csv". Attribution: If you use this material, please cite our latest paper on the GENEA Challenge 2022. At the time of writing (2022-08-08) this is our ACM ICMI 2022 paper: Youngwoo Yoon, Pieter Wolfert, Taras Kucherenko, Carla Viegas, Teodor Nikolov, Mihail Tsakov, and Gustav Eje Henter. 2022. The GENEA Challenge 2022: A large evaluation of data-driven co-speech gesture generation. In Proceedings of the ACM International Conference on Multimodal Interaction (ICMI '22). ACM. You can find the latest information and a BibTeX file on the project website: https://youngwoo-yoon.github.io/GENEAchallenge2022/ Conditions FNA and UNA in the data contain motion from the Talking With Hands 16.2M dataset at https://github.com/facebookresearch/TalkingWithHands32M/. These are licensed under a CC BY NC 4.0 international license. The remaining material is available under a CC BY 4.0 international license, with the text provided in LICENSE.txt. To find more GENEA Challenge 2022 material on the web, please see: * https://youngwoo-yoon.github.io/GENEAchallenge2022/ * https://genea-workshop.github.io/2022/challenge/ If you have any questions or comments, please contact: * The GENEA Challenge & Workshop organisers &lt;genea-contact@googlegroups.com
DOI: 10.6084/m9.figshare.20456922
title: Data Set

description: The data contains the information used in the above mentioned manuscript and is currently under revision.
DOI: 10.5281/zenodo.6977157
title: GENEA Challenge 2022 submitted BVH files

description: This Zenodo repository contains 3D motion in the Biovision Hierarchy (BVH) format for all test-set motion submitted by teams participating in the GENEA Challenge 2022. Contents: The "full-body" zip file corresponds to the full-body tier of the challenge and the "upper-body" file to the upper-body tier. The repository also contains the time stamps for cutting out the evaluation segments we used (matched and mismatched) in the file "segment_selection_info.csv". Attribution: If you use this material, please cite our latest paper on the GENEA Challenge 2022. At the time of writing (2022-08-08) this is our ACM ICMI 2022 paper: Youngwoo Yoon, Pieter Wolfert, Taras Kucherenko, Carla Viegas, Teodor Nikolov, Mihail Tsakov, and Gustav Eje Henter. 2022. The GENEA Challenge 2022: A large evaluation of data-driven co-speech gesture generation. In Proceedings of the ACM International Conference on Multimodal Interaction (ICMI '22). ACM. You can find the latest information and a BibTeX file on the project website: https://youngwoo-yoon.github.io/GENEAchallenge2022/ Conditions FNA and UNA in the data contain motion from the Talking With Hands 16.2M dataset at https://github.com/facebookresearch/TalkingWithHands32M/. These are licensed under a CC BY NC 4.0 international license. The remaining material is available under a CC BY 4.0 international license, with the text provided in LICENSE.txt. To find more GENEA Challenge 2022 material on the web, please see: * https://youngwoo-yoon.github.io/GENEAchallenge2022/ * https://genea-workshop.github.io/2022/challenge/ If you have any questions or comments, please contact: * The GENEA Challenge & Workshop organisers &lt;genea-contact@googlegroups.com
DOI: 10.5281/zenodo.6976463
title: GENEA Challenge 2022 submitted BVH files

description: This Zenodo repository contains 3D motion in the Biovision Hierarchy (BVH) format for all test-set motion submitted by teams participating in the GENEA Challenge 2022. Contents: The "full-body" zip file corresponds to the full-body tier of the challenge and the "upper-body" file to the upper-body tier. The repository also contains the time stamps for cutting out the evaluation segments we used (matched and mismatched) in the file "segment_selection_info.csv". Attribution: If you use this material, please cite our latest paper on the GENEA Challenge 2022. At the time of writing (2022-08-08) this is our ACM ICMI 2022 paper: Youngwoo Yoon, Pieter Wolfert, Taras Kucherenko, Carla Viegas, Teodor Nikolov, Mihail Tsakov, and Gustav Eje Henter. 2022. The GENEA Challenge 2022: A large evaluation of data-driven co-speech gesture generation. In Proceedings of the ACM International Conference on Multimodal Interaction (ICMI '22). ACM. You can find the latest information and a BibTeX file on the project website: https://youngwoo-yoon.github.io/GENEAchallenge2022/ Conditions FNA and UNA in the data contain motion from the Talking With Hands 16.2M dataset at https://github.com/facebookresearch/TalkingWithHands32M/. These are licensed under a CC BY NC 4.0 international license. The remaining material is available under a CC BY 4.0 international license, with the text provided in LICENSE.txt. To find more GENEA Challenge 2022 material on the web, please see: * https://youngwoo-yoon.github.io/GENEAchallenge2022/ * https://genea-workshop.github.io/2022/challenge/ If you have any questions or comments, please contact: * The GENEA Challenge & Workshop organisers &lt;genea-contact@googlegroups.com
DOI: 10.15468/dl.phrvyq
title: Occurrence Download

description: A dataset containing 3436 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Country is one of (Spain, Portugal)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Lathyrus cicera L.",
 "Year 1950-2025"
 ]
}

 The dataset includes 3436 records from 54 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021714-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m76tvx
title: Occurrence Download

description: A dataset containing 254 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Diospyros gilletii De Wild."
 ]
}

 The dataset includes 254 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069893-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xmpws5
title: Occurrence Download

description: A dataset listing the 3315483 species recorded in GBIF matching the query:
{ }

 The dataset's 3315483 records were derived from 38225 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013201-210819072339941/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nbdnms
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Poa polyneura Bor"
 ]
}

 The dataset includes 3 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078456-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4evjxp
title: Occurrence Download

description: A dataset containing 64 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Phylica pulchella Schltr."
 ]
}

 The dataset includes 64 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078458-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k2dafw
title: Occurrence Download

description: A dataset containing 31 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Picris sinuata (Lam.) Lack"
 ]
}

 The dataset includes 31 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078459-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bgzhar
title: Occurrence Download

description: A dataset containing 5809542 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is CAN.9_1",
 "OccurrenceStatus is Present",
 "Year 2016-2017"
 ]
}

 The dataset includes 5809542 records from 89 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078438-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.we9qbk
title: Occurrence Download

description: A dataset containing 8477055 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is CAN.9_1",
 "OccurrenceStatus is Present",
 "Year 2018-2019"
 ]
}

 The dataset includes 8477055 records from 70 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078440-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uz9pmf
title: Occurrence Download

description: A dataset containing 22500 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Geometry POLYGON((-75.91922 -47.45995,-75.61844 -47.89265,-75.84721 -48.48095,-75.91258 -49.14809,-75.66746 -50.03783,-75.83087 -50.65309,-75.19357 -50.99374,-75.53673 -51.51532,-75.3243 -52.08124,-74.53992 -52.64008,-74.94845 -52.68963,-74.4092 -53.40671,-74.03335 -53.44566,-73.67384 -53.97758,-73.15093 -54.63543,-72.62801 -54.48382,-72.30119 -54.69213,-70.79781 -55.2176,-70.38928 -55.38504,-69.01662 -55.55178,-67.82372 -56.03864,-66.90862 -55.87397,-67.39885 -55.44996,-66.50009 -55.36647,-66.25497 -55.13361,-67.00667 -54.86178,-68.48505 -54.816,-68.29873 -52.27054,-69.00675 -52.12208,-69.84519 -51.96163,-71.82018 -51.96163,-72.13692 -51.56958,-72.21145 -51.13906,-72.04376 -50.72809,-72.30461 -50.57451,-73.03126 -50.539,-73.23621 -50.06296,-73.31074 -49.4854,-72.69588 -49.04771,-72.0624 -48.44572,-72.39777 -47.73636,-75.91922 -47.45995))",
 "HasGeospatialIssue is false",
 "TaxonKey is Fungi"
 ]
}

 The dataset includes 22500 records from 98 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078457-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hqt6ab
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Poa populetorum Prob."
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078460-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g4b6mc
title: Occurrence Download

description: A dataset containing 548 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Phylica purpurea Sond."
 ]
}

 The dataset includes 548 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078461-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4k7tjc
title: Occurrence Download

description: A dataset containing 1029 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Nephilengys malabarensis (Walckenaer, 1841)"
 ]
}

 The dataset includes 1029 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078462-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gchgch
title: Occurrence Download

description: A dataset containing 438 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Picris strigosa M.Bieb."
 ]
}

 The dataset includes 438 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078463-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nr7mhr
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "TaxonKey is Matisia tinamastiana A.Estrada & Cascante"
 ]
}

 The dataset includes 18 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078464-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xn3hbq
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Phylica pustulata E.Phillips"
 ]
}

 The dataset includes 20 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078466-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.667ua6
title: Occurrence Download

description: A dataset containing 75 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Picris sulphurea Delile"
 ]
}

 The dataset includes 75 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078467-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vpztnv
title: Occurrence Download

description: A dataset containing 121 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Polygonum aschersonianum H.Gross"
 ]
}

 The dataset includes 121 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078468-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8f4wnu
title: Occurrence Download

description: A dataset containing 30 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Pithecellobium saman (Jacq.) Benth."
 ]
}

 The dataset includes 30 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078469-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m7b284
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Phylica recurvifolia Eckl. & Zeyh."
 ]
}

 The dataset includes 5 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078470-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tn3wes
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Picris xylopoda Lack"
 ]
}

 The dataset includes 4 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078471-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8t2429
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Phylica retorta Pillans"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078473-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5mcw5h
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Picrophloeus belukar (K.M.Wong & Sugau) K.M.Wong"
 ]
}

 The dataset includes 12 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078474-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.