cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.wt2sg4
title: Occurrence Download

description: A dataset listing the 122 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((26.60619 -27.88207,26.90808 -27.84555,27.09518 -27.82815,27.0283 -27.42096,26.55404 -27.47413,26.60619 -27.88207))",
 "TaxonKey is Plantae"
 ]
}

 The dataset's 122 records were derived from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044016-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13148973
title: Binary black-hole simulation SXS:BBH:1350

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13148974
title: Binary black-hole simulation SXS:BBH:1350

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13148983
title: Binary black-hole simulation SXS:BBH:1560

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13148984
title: Binary black-hole simulation SXS:BBH:1560

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13148989
title: Binary black-hole simulation SXS:BBH:2031

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13148990
title: Binary black-hole simulation SXS:BBH:2031

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13148992
title: Binary black-hole simulation SXS:BBH:1909

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13148994
title: Binary black-hole simulation SXS:BBH:1909

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.10872457
title: The dataset on structural connectivity in high-mountain Asia

description: This is the inaugural version of the dataset, comprising 10 slices in GeoTIFF format at a resolution of 30 meters, provided for reviewers to assess our manuscript. We will release the full version of the dataset upon acceptance of the article. For any inquiries, please contact the following email address. jinlongli@stu.scu.edu.cn.
DOI: 10.5281/zenodo.10872458
title: The dataset on structural connectivity in high-mountain Asia

description: This is the inaugural version of the dataset, comprising 10 slices in GeoTIFF format at a resolution of 30 meters, provided for reviewers to assess our manuscript. We will release the full version of the dataset upon acceptance of the article. For any inquiries, please contact the following email address. jinlongli@stu.scu.edu.cn.
DOI: 10.5281/zenodo.13149000
title: Binary black-hole simulation SXS:BBH:1935

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13149001
title: Binary black-hole simulation SXS:BBH:1935

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13149011
title: Binary black-hole simulation SXS:BBH:2026

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13149012
title: Binary black-hole simulation SXS:BBH:2026

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13149017
title: Binary black-hole simulation SXS:BBH:1998

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13149018
title: Binary black-hole simulation SXS:BBH:1998

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13149034
title: CLDF dataset derived from Aaley and Bodt's "New Kusunda data: A list of 250 concepts" from 2020

description: Cite the source of the dataset as:




Uday Raj Aaley and Timotheus A. Bodt (2020): New Kusunda data: A list of 250 concepts. Computer-Assisted Language Comparison in Practice 3.4 (08/04/2020), URL: https://calc.hypotheses.org/2414.
DOI: 10.5281/zenodo.3746946
title: CLDF dataset derived from Aaley and Bodt's "New Kusunda data: A list of 250 concepts" from 2020

description: Cite the source dataset as Uday Raj Aaley and Timotheus A. Bodt, "New Kusunda data: A list of 250 concepts", in Computer-Assisted Language Comparison in Practice, 08/04/2020, https://calc.hypotheses.org/2414
DOI: 10.5281/zenodo.5115947
title: CLDF dataset derived from Aaley and Bodt's "New Kusunda data: A list of 250 concepts" from 2020

description: Cite the source of the dataset as: Uday Raj Aaley and Timotheus A. Bodt (2020): New Kusunda data: A list of 250 concepts. Computer-Assisted Language Comparison in Practice 3.4 (08/04/2020), URL: https://calc.hypotheses.org/2414.
DOI: 10.5281/zenodo.13149023
title: Binary black-hole simulation SXS:BBH:1913

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13149024
title: Binary black-hole simulation SXS:BBH:1913

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.3746945
title: CLDF dataset derived from Aaley and Bodt's "New Kusunda data: A list of 250 concepts" from 2020

description: Cite the source of the dataset as:




Uday Raj Aaley and Timotheus A. Bodt (2020): New Kusunda data: A list of 250 concepts. Computer-Assisted Language Comparison in Practice 3.4 (08/04/2020), URL: https://calc.hypotheses.org/2414.
DOI: 10.15468/dl.64wu7u
title: Occurrence Download

description: A dataset containing 199 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is CHN.29_1",
 "TaxonKey is Carex deasyi (C.B.Clarke) O.Yano & S.R.Zhang"
 ]
}

 The dataset includes 199 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044021-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13148847
title: Dameshoed Metz en Co
DOI: 10.5281/zenodo.13148848
title: Dameshoed Metz en Co
DOI: 10.5281/zenodo.13149029
title: Binary black-hole simulation SXS:BBH:1655

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13149030
title: Binary black-hole simulation SXS:BBH:1655

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.15468/dl.vyp8cg
title: Occurrence Download

description: A dataset containing 134036 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Equatorial Guinea",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 134036 records from 467 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043985-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7ak3em
title: Occurrence Download

description: A dataset containing 28 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is one of (Peristylus mannii (Rchb.f.) Mukerjee, Peristylus biermannianus (King & Pantl.) X.H.Jin, Schuit. & W.T.Jin)"
 ]
}

 The dataset includes 28 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044022-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10907921
title: Supplementary dataset for the publication "Prevalence of tick-borne bacterial pathogens in Germany – has the situation changed after a decade?"

description: The dataset supplements the journal article  "Prevalence of tick-borne bacterial pathogens in Germany – has the situation changed after a decade?" published by Katja Mertens-Scholz, Bernd Hoffmann, Jörn M. Gethmann, Hanka Brangsch, Mathias W. Pletz and Christine Klaus in the journal mdpi microorganisms (DOI:  https://doi.org/10.3389/fcimb.2024.1429667 )

The file "Tick samples" contains all data regarding time, location and detected pathogens". The files "Rickettsia sequences" and Borrelia sequences" contains all sequence information of positive samples. The file "Rickettsia reference genes" contains information of used reference genes for phylogenetic analysis.
DOI: 10.5281/zenodo.10907922
title: Supplementary dataset for the publication "Prevalence of tick-borne bacterial pathogens in Germany – has the situation changed after a decade?"

description: The dataset supplements the journal article  "Prevalence of tick-borne bacterial pathogens in Germany – has the situation changed after a decade?" published by Katja Mertens-Scholz, Bernd Hoffmann, Jörn M. Gethmann, Hanka Brangsch, Mathias W. Pletz and Christine Klaus in the journal mdpi microorganisms (DOI:  https://doi.org/10.3389/fcimb.2024.1429667 )

The file "Tick samples" contains all data regarding time, location and detected pathogens". The files "Rickettsia sequences" and Borrelia sequences" contains all sequence information of positive samples. The file "Rickettsia reference genes" contains information of used reference genes for phylogenetic analysis.
DOI: 10.5281/zenodo.13149043
title: Binary black-hole simulation SXS:BBH:1576

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13149044
title: Binary black-hole simulation SXS:BBH:1576

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13149052
title: Binary black-hole simulation SXS:BBH:1608

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13149053
title: Binary black-hole simulation SXS:BBH:1608

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13149054
title: Binary black-hole simulation SXS:BBH:1559

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13149055
title: Binary black-hole simulation SXS:BBH:1559

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13149062
title: Binary black-hole simulation SXS:BBH:1672

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13149063
title: Binary black-hole simulation SXS:BBH:1672

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5522/04/23717376
title: Shape model of the fetal face between 24 and 34 gestational weeks from segmented 3D US

description: This fetal face dataset is constituted of:- 184 3D surfaces of segmented fetal faces from 3D ultrasound acquired between 24 and 34 gestational weeks. Meshes have been scaled to adjust for gestational age (GA): <code>data_age_rescaled.zip</code>- a spreadsheet reporting individual GA and diagnosed facial abnormality categories: <code>Patient DB 2023.csv</code>- a shape model, or more precisely the parameters of the Deformetrica's deterministic atlas estimated for the above data: <code>shape model.zip</code>Complete description of the data and methodology is presented in [1] and [2]. The main objective of this study is to study the normal changes and the most common abnormality of the fetal face morphology at this stage to assist perinatal clinical follow-up.We summarise here the main information.<b>Participants </b>were prospectively recruited from two clinical centres. Exclusion criteria were based on the absence of suitable image or follow-up data. Gestational age and a short categorisation of the diagnosed pathological facial abnormalities are listed in the attached spreadsheet, it includes, in particular: fetal growth restriction, facial cleft, chromosomal abnormality (T18, T21), etc.<b>Segmentation </b>results were obtained by manual refinement of semi-automatic atlas-based approach. Meshes were then exported, scaled by GA, and rigidly aligned. Surfaces are available as vtk PolyData files in `data_age_rescaled.zip`.<b>Scaling</b>, at gestational age t (in days), is given by the following growth model, estimated by least-square regression on our data and standardized to scale 1 at 29 weeks (203 days) of GA:1/s(t) = 1 + 4.0077e-3 (t-203) - 3.2520e-5 (t-203)**2.This model has been validated against standard available references and is useful to reduce the morphological variability to ease the shape analysis. It can easily be reverted using the provided GA in the spreadsheet.<b>Shape model </b>files (`shape model.zip`) are respectively: the template (average) shape, the control points and momenta parametrizing the individual deformations from this template, the hyper-parameter of the model including the deformation kernel width kwd=7.0mm. The Deformetrica's framework is openly available there https://gitlab.com/icm-institute/aramislab/deformetrica.<b>Ethics</b>The study has been approved by local research ethic committees in both centres (see [1,2]) and data acquired following patient informed consent.This dataset only contains non-identifiable data. In particular, the images themselves, that potentially contain extra information (compared to the final reconstruction) that may lead to the identification of the participants, are not included.<b>References</b>1. Sivera, R., Clark, A.E., Dall’Asta, A. et al. Fetal face shape analysis from prenatal 3D ultrasound images. Sci Rep 14, 4411 (2024). https://doi.org/10.1038/s41598-023-50386-92. Clark, A.E. Prenatal facial and brain analysis from 3D ultrasound. PhD thesis, Imperial College London (2024).<br>
DOI: 10.5522/04/23717376.v1
title: Shape model of the fetal face between 24 and 34 gestational weeks from segmented 3D US

description: This fetal face dataset is constituted of:- 184 3D surfaces of segmented fetal faces from 3D ultrasound acquired between 24 and 34 gestational weeks. Meshes have been scaled to adjust for gestational age (GA): <code>data_age_rescaled.zip</code>- a spreadsheet reporting individual GA and diagnosed facial abnormality categories: <code>Patient DB 2023.csv</code>- a shape model, or more precisely the parameters of the Deformetrica's deterministic atlas estimated for the above data: <code>shape model.zip</code>Complete description of the data and methodology is presented in [1] and [2]. The main objective of this study is to study the normal changes and the most common abnormality of the fetal face morphology at this stage to assist perinatal clinical follow-up.We summarise here the main information.<b>Participants </b>were prospectively recruited from two clinical centres. Exclusion criteria were based on the absence of suitable image or follow-up data. Gestational age and a short categorisation of the diagnosed pathological facial abnormalities are listed in the attached spreadsheet, it includes, in particular: fetal growth restriction, facial cleft, chromosomal abnormality (T18, T21), etc.<b>Segmentation </b>results were obtained by manual refinement of semi-automatic atlas-based approach. Meshes were then exported, scaled by GA, and rigidly aligned. Surfaces are available as vtk PolyData files in `data_age_rescaled.zip`.<b>Scaling</b>, at gestational age t (in days), is given by the following growth model, estimated by least-square regression on our data and standardized to scale 1 at 29 weeks (203 days) of GA:1/s(t) = 1 + 4.0077e-3 (t-203) - 3.2520e-5 (t-203)**2.This model has been validated against standard available references and is useful to reduce the morphological variability to ease the shape analysis. It can easily be reverted using the provided GA in the spreadsheet.<b>Shape model </b>files (`shape model.zip`) are respectively: the template (average) shape, the control points and momenta parametrizing the individual deformations from this template, the hyper-parameter of the model including the deformation kernel width kwd=7.0mm. The Deformetrica's framework is openly available there https://gitlab.com/icm-institute/aramislab/deformetrica.<b>Ethics</b>The study has been approved by local research ethic committees in both centres (see [1,2]) and data acquired following patient informed consent.This dataset only contains non-identifiable data. In particular, the images themselves, that potentially contain extra information (compared to the final reconstruction) that may lead to the identification of the participants, are not included.<b>References</b>1. Sivera, R., Clark, A.E., Dall’Asta, A. et al. Fetal face shape analysis from prenatal 3D ultrasound images. Sci Rep 14, 4411 (2024). https://doi.org/10.1038/s41598-023-50386-92. Clark, A.E. Prenatal facial and brain analysis from 3D ultrasound. PhD thesis, Imperial College London (2024).<br>
DOI: 10.5281/zenodo.13149071
title: CLDF dataset derived from Abraham et al.'s "Sociolinguistic Research on Monpa" from 2018

description: Cite the source of the dataset as:




Abraham, Binny, Kara Sako, Elina Kinny, and Isapdaile Zeliang (2018):  Sociolinguistic Research among Selected Groups in Western Arunachal Pradesh: Highlighting Monpa. Dallas: SIL International.
DOI: 10.5281/zenodo.2630824
title: CLDF dataset derived from Abraham et al.'s "Sociolinguistic Research on Monpa" from 2018

description: Cite the source of the dataset as:




Abraham, Binny, Kara Sako, Elina Kinny, and Isapdaile Zeliang (2018):  Sociolinguistic Research among Selected Groups in Western Arunachal Pradesh: Highlighting Monpa. Dallas: SIL International.
DOI: 10.5281/zenodo.2630825
title: Sociolinguistic Research on Monpa

description: Cite the source dataset as Abraham, Binny, Kara Sako, Elina Kinny, Isapdaile Zeliang (2018): Sociolinguistic Research among Selected Groups in Western Arunachal Pradesh: Highlighting Monpa. SIL Electronic Survey Reports 2018-009.
DOI: 10.5281/zenodo.3267058
title: Sociolinguistic Research on Monpa

description: Cite the source dataset as Abraham, Binny, Kara Sako, Elina Kinny, Isapdaile Zeliang (2018): Sociolinguistic Research among Selected Groups in Western Arunachal Pradesh: Highlighting Monpa. SIL Electronic Survey Reports 2018-009.
DOI: 10.5281/zenodo.5115885
title: CLDF dataset derived from Abraham et al.'s "Sociolinguistic Research on Monpa" from 2018

description: Cite the source of the dataset as: Abraham, Binny, Kara Sako, Elina Kinny, and Isapdaile Zeliang (2018): Sociolinguistic Research among Selected Groups in Western Arunachal Pradesh: Highlighting Monpa. Dallas: SIL International.
DOI: 10.15468/dl.b348ks
title: Occurrence Download

description: A dataset containing 48 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Platanthera clavigera Lindl."
 ]
}

 The dataset includes 48 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044023-240626123714530/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.26423881
title: <b>Dataset of the paper for Nature communications</b>

description: The data is those used in the paper "Competitive advantages of alien over native plants: the roles of herbivory, water and phosphorus".
DOI: 10.6084/m9.figshare.26423881.v2
title: <b>Dataset of the paper for Nature communications</b>

description: The data is those used in the paper "Competitive advantages of alien over native plants: the roles of herbivory, water and phosphorus".
DOI: 10.15468/dl.yn32q8
title: Occurrence Download

description: A dataset containing 122 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is CHN.29_1",
 "TaxonKey is Blysmus sinocompressus Tang & F.T.Wang"
 ]
}

 The dataset includes 122 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044024-240626123714530/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.26423881.v1
title: <b>Competitive advantages of alien over native plants: the roles of herbivory, water and phosphorus</b>

description: The success of alien plants is often ascribed to competitive advantages they have over native plants. In this study, we first categorized the three types of asymmetric competitive advantages, consisting of both intra- and interspecific, and proposed that the hypothesis that the aliens’ competitive advantages were context dependent. And then a greenhouse experiment was conducted to test the effects of three external factors (water, phosphorous and herbivory) on the three above competitive advantages. We indeed found that there were asymmetric competitive advantages for alien plants, and which were also influenced by multiple external factors. All of these could improve our understanding of the mechanism behind invasion success in the context of ongoing climate change.
DOI: 10.15468/dl.umuv74
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((119.23431 -4.79531,135.76569 -4.79531,135.76569 6.79531,119.23431 6.79531,119.23431 -4.79531))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ixora mollirama Bremek."
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044025-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13149064
title: Binary black-hole simulation SXS:BBH:1517

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13149065
title: Binary black-hole simulation SXS:BBH:1517

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13149095
title: CLDF dataset derived from Greenhill et al.'s "Austronesian Basic Vocabulary Database" from 2020 focusing on Oceanic languages

description: Cite the source of the dataset as:




Greenhill, S.J., Blust. R, & Gray, R.D. (2008). The Austronesian Basic Vocabulary Database: From Bioinformatics to Lexomics. Evolutionary Bioinformatics, 4:271-283.
DOI: 10.5281/zenodo.5206552
title: CLDF dataset derived from Greenhill et al.'s "Austronesian Basic Vocabulary Database" from 2020 focusing on Oceanic languages

description: Cite the source of the dataset as:




Greenhill, S.J., Blust. R, & Gray, R.D. (2008). The Austronesian Basic Vocabulary Database: From Bioinformatics to Lexomics. Evolutionary Bioinformatics, 4:271-283.
DOI: 10.5281/zenodo.5206553
title: CLDF dataset derived from Greenhill et al.'s "Austronesian Basic Vocabulary Database" from 2020

description: Cite the source of the dataset as: Greenhill, S.J., Blust. R, & Gray, R.D. (2008). The Austronesian Basic Vocabulary Database: From Bioinformatics to Lexomics. Evolutionary Bioinformatics, 4:271-283.
DOI: 10.5281/zenodo.13149076
title: Binary black-hole simulation SXS:BBH:1612

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13149077
title: Binary black-hole simulation SXS:BBH:1612

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.15468/dl.wdk9zg
title: Occurrence Download

description: A dataset containing 460 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Epimedium brevicornu Maxim."
 ]
}

 The dataset includes 460 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044027-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.