cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.48370/ofd/dyib6r
title: Sorex araneus - 34719, Zoological collection of the Mammal Research Institute, PAS

description: Sorex araneus (Common shrew) from Zoological collection of the Mammal Research Institute, PAS. Collected 1964-02-07, in: Białowieża National Park, Poland. Material type:
DOI: 10.48370/ofd/1k1jum
title: Sorex araneus - 2388, Zoological collection of the Mammal Research Institute, PAS

description: Sorex araneus (Common shrew) from Zoological collection of the Mammal Research Institute, PAS. Collected 1953-07-19, in: Białowieża National Park, Poland. Material type:
DOI: 10.48370/ofd/qjf5bh
title: Sorex araneus - 28155, Zoological collection of the Mammal Research Institute, PAS

description: Sorex araneus (Common shrew) from Zoological collection of the Mammal Research Institute, PAS. Collected 1962-06-19, in: Białowieża National Park, Poland. Material type:
DOI: 10.48370/ofd/46klqe
title: Sorex araneus - 124112, Zoological collection of the Mammal Research Institute, PAS

description: Sorex araneus (Common shrew) from Zoological collection of the Mammal Research Institute, PAS. Collected 1977-01-20, in: Białowieża National Park, Poland. Material type:
DOI: 10.48370/ofd/srsy8x
title: Sorex araneus - 2960, Zoological collection of the Mammal Research Institute, PAS

description: Sorex araneus (Common shrew) from Zoological collection of the Mammal Research Institute, PAS. Collected 1953-08-08, in: Białowieża National Park, Poland. Material type:
DOI: 10.48370/ofd/kdo66k
title: Sorex araneus - 52246, Zoological collection of the Mammal Research Institute, PAS

description: Sorex araneus (Common shrew) from Zoological collection of the Mammal Research Institute, PAS. Collected 1966-06-30, in: Białowieża National Park, Poland. Material type:
DOI: 10.48370/ofd/zlaotp
title: Sorex araneus - 456, Zoological collection of the Mammal Research Institute, PAS

description: Sorex araneus (Common shrew) from Zoological collection of the Mammal Research Institute, PAS. Collected 1952-10-23, in: Białowieża National Park, Poland. Material type:
DOI: 10.6084/m9.figshare.14988051
title: Modifications to the net knee moments lead to the greatest improvements in accelerative sprinting performance: a predictive simulation study

description: Data files, model and videos for article titled: Modifications to the net knee moments lead to the greatest improvements in accelerative sprinting performance: a predictive simulation study
DOI: 10.6084/m9.figshare.14988051.v1
title: Modifications to the net knee moments lead to the greatest improvements in accelerative sprinting performance: a predictive simulation study

description: Data files, model and videos for article titled: Modifications to the net knee moments lead to the greatest improvements in accelerative sprinting performance: a predictive simulation study
DOI: 10.57770/iz7z9b
title: Replication Data for: Identification of genes associated with cortical malformation using a transposon-mediated somatic mutagenesis screen in mice

description: Mutations in genes involved in the production, migration, or differentiation of cortical neurons often lead to malformations of cortical development (MCDs). However, many genetic mutations involved in MCD pathogenesis remain unidentified. Here we developed a genetic screening paradigm based on transposon-mediated somatic mutagenesis by in utero electroporation and the inability of mutant neuronal precursors to migrate to the cortex and identified 33 candidate MCD genes. Consistent with the screen, several genes have already been implicated in neural development and disorders. Functional disruption of the candidate genes by RNAi or CRISPR/Cas9 causes altered neuronal distributions that resemble human cortical dysplasia. To verify potential clinical relevance of these candidate genes, we analyzed somatic mutations in brain tissue from patients with focal cortical dysplasia and found that mutations are enriched in these candidate genes. These results demonstrate that this approach is able to identify potential mouse genes involved in cortical development and MCD pathogenesis.
DOI: 10.34740/kaggle/dsv/3728224
title: BBC News
DOI: 10.5517/ccdc.csd.cc23rmp6
title: CCDC 1959128: Experimental Crystal Structure Determination

description: Related Article: Ahlam I. Al-Sulami, Maram T. Basha, Hanan S. Althagafy, Khadijah M. Al-Zaydi, Bambar Davaasuren, Nadia S. Al-kaff, Musa A. Said|2022|Inorg.Chem.Commun.|142|109535|doi:10.1016/j.inoche.2022.109535
DOI: 10.5517/ccdc.csd.cc23rx60
title: CCDC 1959392: Experimental Crystal Structure Determination

description: Related Article: Ahlam I. Al-Sulami, Maram T. Basha, Hanan S. Althagafy, Khadijah M. Al-Zaydi, Bambar Davaasuren, Nadia S. Al-kaff, Musa A. Said|2022|Inorg.Chem.Commun.|142|109535|doi:10.1016/j.inoche.2022.109535
DOI: 10.5281/zenodo.3249967
title: Barriers to crop diversification across 25 European case-studies (dataset)

description: The data set presents the presence or absence of barriers to crop diversification at different levels of value chain across contrasted European case-studies. Data were collected based on participatory workshops involving a causal analysis of challenges of crop diversification and complementary interviews with the 25 innovations teams of case-studies at the chore of the DiverIMPACTS project (https://www.diverimpacts.net/). These data account for the initial perception of barriers in the initial phase of the innovation project and may have evolved since. For more information about the data collection and project and further discussion, please refer to the paper "<strong>Innovating within or outside dominant food systems? Different challenges for contrasting crop diversification strategies in Europe</strong>" of Morel et al. submitted to the journal Plos One.
DOI: 10.5281/zenodo.3249966
title: Barriers to crop diversification across 25 European case-studies (dataset)

description: The data set presents the presence or absence of barriers to crop diversification at different levels of value chain across contrasted European case-studies. Data were collected based on participatory workshops involving a causal analysis of challenges of crop diversification and complementary interviews with the 25 innovations teams of case-studies at the chore of the DiverIMPACTS project (https://www.diverimpacts.net/). These data account for the initial perception of barriers in the initial phase of the innovation project and may have evolved since. For more information about the data collection and project and further discussion, please refer to the paper "<strong>Innovating within or outside dominant food systems? Different challenges for contrasting crop diversification strategies in Europe</strong>" of Morel et al. submitted to the journal Plos One.
DOI: 10.21227/fbwq-e603
title: Pairwise Characteristics between Vehicles in Vehicular Networks

description: Vehicular networks have various characteristics that can be helpful in their inter-relations identifications. Considering that two vehicles are moving at a certain speed and distance, it is important to know about their communication capability. The vehicles can communicate within their communication range. However, given previous data of a road segment, our dataset can identify the compatibility time between two selected vehicles. The compatibility time is defined as the time two vehicles will be within the communication range of each other. Our data set observe 500 seconds of data in a 2.5 x 1.5 KM area, populated with SUMO traffic traces. Each vehicle is assumed to have a communication range of 50 meters. The dataset contains the relation of each pair of vehicles in a mesh system where each vehicle is compared with every other vehicle for a total of 500 seconds. Our dataset is one of its kind to predict the compatibility of vehicles with each other.
DOI: 10.21227/k05f-zs45
title: Pairwise Characteristics between Vehicles in Vehicular Networks

description: Vehicular networks have various characteristics that can be helpful in their inter-relations identifications. Considering that two vehicles are moving at a certain speed and distance, it is important to know about their communication capability. The vehicles can communicate within their communication range. However, given previous data of a road segment, our dataset can identify the compatibility time between two selected vehicles. The compatibility time is defined as the time two vehicles will be within the communication range of each other. Our data set observe 500 seconds of data in a 2.5 x 1.5 KM area, populated with SUMO traffic traces. Each vehicle is assumed to have a communication range of 50 meters. The dataset contains the relation of each pair of vehicles in a mesh system where each vehicle is compared with every other vehicle for a total of 500 seconds. Our dataset is one of its kind to predict the compatibility of vehicles with each other.
DOI: 10.17632/92wsg4g3mt.1
title: DATASET S3: Pollicipes pollicipes custom protein database

description: Data for the article: Domínguez-Pérez, D.; Almeida, D.; Wissing, J.; Machado, A.M.; Jänsch, L.; Castro, L.F.; Antunes, A.; Vasconcelos, V.; Campos, A.; Cunha, I. The Quantitative Proteome of the Cement and Adhesive Gland of the Pedunculate Barnacle, Pollicipes pollicipes. Int. J. Mol. Sci. 2020, 21, 2524. https://doi.org/10.3390/ijms21072524 P. pollicipes custom proteins database: The protein database comprised 65,291 coding sequences obtained with TransDecoder (version 5.5.0) from the transcriptome of P. pollicipes. It is noteworthy that this transcriptome was previously published (doi:10.1016/j.margen.2018.11.001) and was obtained from the same specimens used to profile this proteome. The transcriptome is publicly available at Transcriptome Shotgun Assembly (TSA, NCBI), deposited under accession GGJM01000000.
DOI: 10.17632/pgkf3mtb4m.1
title: DATASET S2: MS/MS raw data from Pollicipes pollicipes Cement Gland

description: Data for the article: Domínguez-Pérez, D.; Almeida, D.; Wissing, J.; Machado, A.M.; Jänsch, L.; Castro, L.F.; Antunes, A.; Vasconcelos, V.; Campos, A.; Cunha, I. The Quantitative Proteome of the Cement and Adhesive Gland of the Pedunculate Barnacle, Pollicipes pollicipes. Int. J. Mol. Sci. 2020, 21, 2524. https://doi.org/10.3390/ijms21072524 PPCIM: MS/MS raw data files comprising three biological replicates of P. pollicipes cement multicomplex obtained using label-free LC-MS high throughput proteomic analysis. LC-MS/MS system was composed by a Dionex UltiMate 3000 n-RSLC connected to an Orbitrap FusionTM TribridTM mass spectrometer (Thermo Scientific, Waltham, MA, USA).
DOI: 10.17632/bc65592ymt.1
title: DATASET S1: MS/MS raw data from Pollicipes pollicipes Adhesive Gland

description: Data for the article: Domínguez-Pérez, D.; Almeida, D.; Wissing, J.; Machado, A.M.; Jänsch, L.; Castro, L.F.; Antunes, A.; Vasconcelos, V.; Campos, A.; Cunha, I. The Quantitative Proteome of the Cement and Adhesive Gland of the Pedunculate Barnacle, Pollicipes pollicipes. Int. J. Mol. Sci. 2020, 21, 2524. https://doi.org/10.3390/ijms21072524 PPGL: MS/MS raw data files comprising three biological replicates of P. pollicipes cement gland obtained using label-free LC-MS high throughput proteomic analysis. LC-MS/MS system was composed by a Dionex UltiMate 3000 n-RSLC connected to an Orbitrap FusionTM TribridTM mass spectrometer (Thermo Scientific, Waltham, MA, USA).
DOI: 10.5281/zenodo.3958749
title: Supplementary data for Nested sampling cross-checks using order statistics

description: This is the raw data for tables 1 and 2 in Nested sampling cross-checks using order statistics. The file names for the MultiNest results in table 1 are: <pre><code>MN_{PROBLEM}_{number of dimensions}d_efr_{MultiNest efr parameter}.txt</code></pre> The file names for the PolyChord results in table 2 are: <pre><code>PC_{PROBLEM}_{number of dimensions}d_nr_{PolyChord number of repeats}.txt</code></pre> where PROBLEM specifies one of four test functions described in Appendix C gaussian = Gaussian mixture = Gaussian-log-gamma mixture rosenbrock = Rosenbrock function shells = Gaussian shells Each file contains 100 rows (corresponding to 100 runs) and 8 columns log evidence error log evidence KS statistic from test on all iterations number of iterations p-value from all iterations Greatest KS statistic from tests on chunks of iterations Iteration of start of chunk at which greatest KS statistic occurred Bonferroni corrected p-value from greatest KS statistic from tests on chunks of iterations
DOI: 10.5281/zenodo.3958748
title: Supplementary data for Nested sampling cross-checks using order statistics

description: This is the raw data for tables 1 and 2 in Nested sampling cross-checks using order statistics. The file names for the MultiNest results in table 1 are: <pre><code>MN_{PROBLEM}_{number of dimensions}d_efr_{MultiNest efr parameter}.txt</code></pre> The file names for the PolyChord results in table 2 are: <pre><code>PC_{PROBLEM}_{number of dimensions}d_nr_{PolyChord number of repeats}.txt</code></pre> where PROBLEM specifies one of four test functions described in Appendix C gaussian = Gaussian mixture = Gaussian-log-gamma mixture rosenbrock = Rosenbrock function shells = Gaussian shells Each file contains 100 rows (corresponding to 100 runs) and 8 columns log evidence error log evidence KS statistic from test on all iterations number of iterations p-value from all iterations Greatest KS statistic from tests on chunks of iterations Iteration of start of chunk at which greatest KS statistic occurred Bonferroni corrected p-value from greatest KS statistic from tests on chunks of iterations
DOI: 10.25592/dgs.corpus-3.0-type-10023
title: HÄNDE-WEG1^ (MEINE DGS – annotiert. Öffentliches Korpus der Deutschen Gebärdensprache, 3. Release)
title: HANDS-OFF1^ (MY DGS – annotated. Public Corpus of German Sign Language, 3rd release)

description: Ein Type aus der Annotation von MEINEDGS mit allen seinen Tokens aus MEINEDGS: The Public DGS Corpus consists of more than 50 hours of video data from the DGS-Korpus project made available together with annotations for research purposes. In this project, data were collected all across Germany in the timeframe 2010-2012. The public corpus shows 330 informants in 4 different age groups (from 18 years on) from 13 different regions. All parts are conversations between two informants in German Sign Language (DGS). The majority of transcripts included cover discussions and reports on Deaf life and personal experiences, although there are examples of other tasks such as story retellings as well.<br>Transcripts are made available in iLex and ELAN format as well as in SRT subtitles format that can be imported in MaxQDA and other analysis tools, together with the mp4 video files in 360p50. Diese DOI identifiziert die Version 3.0 des Datensatzes.
description: A type from the annotation of MYDGS including all its tokens in MYDGS: Das Öffentliche DGS-Korpus besteht aus mehr als 50 Stunden Video aus dem Projekt DGS-Korpus , die zusammen mit Annotationen für Forschungszwecke zur Verfügung gestellt werden. Die Datenerhebung im Projekt fand im Zeitraum 2010-2012 in ganz Deutschland statt. Das öffentliche Korpus besteht aus Gesprächen jeweils zweier Informantinnen oder Informanten in Deutscher Gebärdensprache. Das Korpus umfasst 330 Informantinnen und Informanten in vier verschiedenen Altersgruppen (ab 18 Jahren) aus 13 verschiedenen Regionen. Der Schwerpunkt der Sammlung liegt auf Transkripten von Diskussionen und Berichten über das Leben Gehörloser sowie persönliche Erfahrungen, sie enthält aber auch Beispiele anderer Erhebungsformate wie Nacherzählungen.<br>Transkripte werden im iLex- und ELAN-Format sowie als SRT-Untertiteldateien (zum Import etwa in MaxQDA) zur Verfügung gestellt. Die zugehörigen MP4-Videodaten sind durchgängig im Format 360p50. This DOI identifies the version 3.0 of the dataset.
DOI: 10.25592/dgs.corpus-3.0-type-10375
title: UNGEFÄHR3A^ (MEINE DGS – annotiert. Öffentliches Korpus der Deutschen Gebärdensprache, 3. Release)
title: APPROXIMATELY3A^ (MY DGS – annotated. Public Corpus of German Sign Language, 3rd release)

description: Ein Type aus der Annotation von MEINEDGS mit allen seinen Tokens aus MEINEDGS: The Public DGS Corpus consists of more than 50 hours of video data from the DGS-Korpus project made available together with annotations for research purposes. In this project, data were collected all across Germany in the timeframe 2010-2012. The public corpus shows 330 informants in 4 different age groups (from 18 years on) from 13 different regions. All parts are conversations between two informants in German Sign Language (DGS). The majority of transcripts included cover discussions and reports on Deaf life and personal experiences, although there are examples of other tasks such as story retellings as well.<br>Transcripts are made available in iLex and ELAN format as well as in SRT subtitles format that can be imported in MaxQDA and other analysis tools, together with the mp4 video files in 360p50. Diese DOI identifiziert die Version 3.0 des Datensatzes.
description: A type from the annotation of MYDGS including all its tokens in MYDGS: Das Öffentliche DGS-Korpus besteht aus mehr als 50 Stunden Video aus dem Projekt DGS-Korpus , die zusammen mit Annotationen für Forschungszwecke zur Verfügung gestellt werden. Die Datenerhebung im Projekt fand im Zeitraum 2010-2012 in ganz Deutschland statt. Das öffentliche Korpus besteht aus Gesprächen jeweils zweier Informantinnen oder Informanten in Deutscher Gebärdensprache. Das Korpus umfasst 330 Informantinnen und Informanten in vier verschiedenen Altersgruppen (ab 18 Jahren) aus 13 verschiedenen Regionen. Der Schwerpunkt der Sammlung liegt auf Transkripten von Diskussionen und Berichten über das Leben Gehörloser sowie persönliche Erfahrungen, sie enthält aber auch Beispiele anderer Erhebungsformate wie Nacherzählungen.<br>Transkripte werden im iLex- und ELAN-Format sowie als SRT-Untertiteldateien (zum Import etwa in MaxQDA) zur Verfügung gestellt. Die zugehörigen MP4-Videodaten sind durchgängig im Format 360p50. This DOI identifies the version 3.0 of the dataset.
DOI: 10.25592/dgs.corpus-3.0-type-10524
title: UNTERSCHIED5^ (MEINE DGS – annotiert. Öffentliches Korpus der Deutschen Gebärdensprache, 3. Release)
title: DIFFERENCE5^ (MY DGS – annotated. Public Corpus of German Sign Language, 3rd release)

description: Ein Type aus der Annotation von MEINEDGS mit allen seinen Tokens aus MEINEDGS: The Public DGS Corpus consists of more than 50 hours of video data from the DGS-Korpus project made available together with annotations for research purposes. In this project, data were collected all across Germany in the timeframe 2010-2012. The public corpus shows 330 informants in 4 different age groups (from 18 years on) from 13 different regions. All parts are conversations between two informants in German Sign Language (DGS). The majority of transcripts included cover discussions and reports on Deaf life and personal experiences, although there are examples of other tasks such as story retellings as well.<br>Transcripts are made available in iLex and ELAN format as well as in SRT subtitles format that can be imported in MaxQDA and other analysis tools, together with the mp4 video files in 360p50. Diese DOI identifiziert die Version 3.0 des Datensatzes.
description: A type from the annotation of MYDGS including all its tokens in MYDGS: Das Öffentliche DGS-Korpus besteht aus mehr als 50 Stunden Video aus dem Projekt DGS-Korpus , die zusammen mit Annotationen für Forschungszwecke zur Verfügung gestellt werden. Die Datenerhebung im Projekt fand im Zeitraum 2010-2012 in ganz Deutschland statt. Das öffentliche Korpus besteht aus Gesprächen jeweils zweier Informantinnen oder Informanten in Deutscher Gebärdensprache. Das Korpus umfasst 330 Informantinnen und Informanten in vier verschiedenen Altersgruppen (ab 18 Jahren) aus 13 verschiedenen Regionen. Der Schwerpunkt der Sammlung liegt auf Transkripten von Diskussionen und Berichten über das Leben Gehörloser sowie persönliche Erfahrungen, sie enthält aber auch Beispiele anderer Erhebungsformate wie Nacherzählungen.<br>Transkripte werden im iLex- und ELAN-Format sowie als SRT-Untertiteldateien (zum Import etwa in MaxQDA) zur Verfügung gestellt. Die zugehörigen MP4-Videodaten sind durchgängig im Format 360p50. This DOI identifies the version 3.0 of the dataset.
DOI: 10.25592/dgs.corpus-3.0-type-10928
title: STELLEN12^ (MEINE DGS – annotiert. Öffentliches Korpus der Deutschen Gebärdensprache, 3. Release)
title: TO-PUT12^ (MY DGS – annotated. Public Corpus of German Sign Language, 3rd release)

description: Ein Type aus der Annotation von MEINEDGS mit allen seinen Tokens aus MEINEDGS: The Public DGS Corpus consists of more than 50 hours of video data from the DGS-Korpus project made available together with annotations for research purposes. In this project, data were collected all across Germany in the timeframe 2010-2012. The public corpus shows 330 informants in 4 different age groups (from 18 years on) from 13 different regions. All parts are conversations between two informants in German Sign Language (DGS). The majority of transcripts included cover discussions and reports on Deaf life and personal experiences, although there are examples of other tasks such as story retellings as well.<br>Transcripts are made available in iLex and ELAN format as well as in SRT subtitles format that can be imported in MaxQDA and other analysis tools, together with the mp4 video files in 360p50. Diese DOI identifiziert die Version 3.0 des Datensatzes.
description: A type from the annotation of MYDGS including all its tokens in MYDGS: Das Öffentliche DGS-Korpus besteht aus mehr als 50 Stunden Video aus dem Projekt DGS-Korpus , die zusammen mit Annotationen für Forschungszwecke zur Verfügung gestellt werden. Die Datenerhebung im Projekt fand im Zeitraum 2010-2012 in ganz Deutschland statt. Das öffentliche Korpus besteht aus Gesprächen jeweils zweier Informantinnen oder Informanten in Deutscher Gebärdensprache. Das Korpus umfasst 330 Informantinnen und Informanten in vier verschiedenen Altersgruppen (ab 18 Jahren) aus 13 verschiedenen Regionen. Der Schwerpunkt der Sammlung liegt auf Transkripten von Diskussionen und Berichten über das Leben Gehörloser sowie persönliche Erfahrungen, sie enthält aber auch Beispiele anderer Erhebungsformate wie Nacherzählungen.<br>Transkripte werden im iLex- und ELAN-Format sowie als SRT-Untertiteldateien (zum Import etwa in MaxQDA) zur Verfügung gestellt. Die zugehörigen MP4-Videodaten sind durchgängig im Format 360p50. This DOI identifies the version 3.0 of the dataset.