cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.8207115
title: COKI Open Access Dataset

description: The COKI Open Access Dataset measures open access performance for 221 countries and 14,477 institutions and is available in JSON Lines format. The data is visualised at the COKI Open Access Dashboard: https://open.coki.ac/. The COKI Open Access Dataset is created with the COKI Academic Observatory data collection pipeline, which fetches data about research publications from multiple sources, synthesises the datasets and creates the open access calculations for each country and institution. Each week a number of specialised research publication datasets are collected. The datasets that are used for the COKI Open Access Dataset release include Crossref Metadata, OpenAlex, Unpaywall and the Research Organization Registry. After fetching the datasets, they are synthesised to produce aggregate time series statistics for each country and institution in the dataset. The aggregate timeseries statistics include publication count, open access status and citation count. See https://open.coki.ac/data/ for the dataset schema. A new version of the dataset is deposited every week. <strong>Code</strong> The COKI Academic Observatory data collection pipeline is used to create the dataset. The COKI OA Website Github project contains the code for the web app that visualises the dataset at open.coki.ac. It can be found on Zenodo here. <strong>License</strong><br> COKI Open Access Dataset © 2022 by Curtin University is licenced under CC BY 4.0. <strong>Attributions</strong><br> This work contains information from: OpenAlex which is made available under the CC0 license. Crossref Metadata via the Metadata Plus program. Bibliographic metadata is made available without copyright restriction and Crossref generated data under a CC0 licence. See metadata licence information for more details. Unpaywall. The Unpaywall Data Feed is used under license. Data is freely available from Unpaywall via the API, data dumps and as a data feed. Research Organization Registry which is made available under a CC0 licence.
description: The Curtin Open Knowledge Initiative (COKI) is a strategic initiative of the Research Office at Curtin, the Faculty of Humanities, School of Media, Creative Arts and Social Inquiry and the Curtin Institute for Computation, with additional support from the Mellon Foundation and the Arcadia Fund, a charitable fund of Lisbet Rausing and Peter Baldwin.
DOI: 10.5281/zenodo.8245399
title: COKI Open Access Dataset

description: The COKI Open Access Dataset measures open access performance for 221 countries and 14,477 institutions and is available in JSON Lines format. The data is visualised at the COKI Open Access Dashboard: https://open.coki.ac/. The COKI Open Access Dataset is created with the COKI Academic Observatory data collection pipeline, which fetches data about research publications from multiple sources, synthesises the datasets and creates the open access calculations for each country and institution. Each week a number of specialised research publication datasets are collected. The datasets that are used for the COKI Open Access Dataset release include Crossref Metadata, OpenAlex, Unpaywall and the Research Organization Registry. After fetching the datasets, they are synthesised to produce aggregate time series statistics for each country and institution in the dataset. The aggregate timeseries statistics include publication count, open access status and citation count. See https://open.coki.ac/data/ for the dataset schema. A new version of the dataset is deposited every week. <strong>Code</strong> The COKI Academic Observatory data collection pipeline is used to create the dataset. The COKI OA Website Github project contains the code for the web app that visualises the dataset at open.coki.ac. It can be found on Zenodo here. <strong>License</strong><br> COKI Open Access Dataset © 2022 by Curtin University is licenced under CC BY 4.0. <strong>Attributions</strong><br> This work contains information from: OpenAlex which is made available under the CC0 license. Crossref Metadata via the Metadata Plus program. Bibliographic metadata is made available without copyright restriction and Crossref generated data under a CC0 licence. See metadata licence information for more details. Unpaywall. The Unpaywall Data Feed is used under license. Data is freely available from Unpaywall via the API, data dumps and as a data feed. Research Organization Registry which is made available under a CC0 licence.
description: The Curtin Open Knowledge Initiative (COKI) is a strategic initiative of the Research Office at Curtin, the Faculty of Humanities, School of Media, Creative Arts and Social Inquiry and the Curtin Institute for Computation, with additional support from the Mellon Foundation and the Arcadia Fund, a charitable fund of Lisbet Rausing and Peter Baldwin.
DOI: 10.5281/zenodo.8287888
title: COKI Open Access Dataset

description: The COKI Open Access Dataset measures open access performance for 221 countries and 14,477 institutions and is available in JSON Lines format. The data is visualised at the COKI Open Access Dashboard: https://open.coki.ac/. The COKI Open Access Dataset is created with the COKI Academic Observatory data collection pipeline, which fetches data about research publications from multiple sources, synthesises the datasets and creates the open access calculations for each country and institution. Each week a number of specialised research publication datasets are collected. The datasets that are used for the COKI Open Access Dataset release include Crossref Metadata, OpenAlex, Unpaywall and the Research Organization Registry. After fetching the datasets, they are synthesised to produce aggregate time series statistics for each country and institution in the dataset. The aggregate timeseries statistics include publication count, open access status and citation count. See https://open.coki.ac/data/ for the dataset schema. A new version of the dataset is deposited every week. <strong>Code</strong> The COKI Academic Observatory data collection pipeline is used to create the dataset. The COKI OA Website Github project contains the code for the web app that visualises the dataset at open.coki.ac. It can be found on Zenodo here. <strong>License</strong><br> COKI Open Access Dataset © 2022 by Curtin University is licenced under CC BY 4.0. <strong>Attributions</strong><br> This work contains information from: OpenAlex which is made available under the CC0 license. Crossref Metadata via the Metadata Plus program. Bibliographic metadata is made available without copyright restriction and Crossref generated data under a CC0 licence. See metadata licence information for more details. Unpaywall. The Unpaywall Data Feed is used under license. Data is freely available from Unpaywall via the API, data dumps and as a data feed. Research Organization Registry which is made available under a CC0 licence.
description: The Curtin Open Knowledge Initiative (COKI) is a strategic initiative of the Research Office at Curtin, the Faculty of Humanities, School of Media, Creative Arts and Social Inquiry and the Curtin Institute for Computation, with additional support from the Mellon Foundation and the Arcadia Fund, a charitable fund of Lisbet Rausing and Peter Baldwin.
DOI: 10.5281/zenodo.8303766
title: COKI Open Access Dataset

description: The COKI Open Access Dataset measures open access performance for 221 countries and 14,477 institutions and is available in JSON Lines format. The data is visualised at the COKI Open Access Dashboard: https://open.coki.ac/. The COKI Open Access Dataset is created with the COKI Academic Observatory data collection pipeline, which fetches data about research publications from multiple sources, synthesises the datasets and creates the open access calculations for each country and institution. Each week a number of specialised research publication datasets are collected. The datasets that are used for the COKI Open Access Dataset release include Crossref Metadata, OpenAlex, Unpaywall and the Research Organization Registry. After fetching the datasets, they are synthesised to produce aggregate time series statistics for each country and institution in the dataset. The aggregate timeseries statistics include publication count, open access status and citation count. See https://open.coki.ac/data/ for the dataset schema. A new version of the dataset is deposited every week. <strong>Code</strong> The COKI Academic Observatory data collection pipeline is used to create the dataset. The COKI OA Website Github project contains the code for the web app that visualises the dataset at open.coki.ac. It can be found on Zenodo here. <strong>License</strong><br> COKI Open Access Dataset © 2022 by Curtin University is licenced under CC BY 4.0. <strong>Attributions</strong><br> This work contains information from: OpenAlex which is made available under the CC0 license. Crossref Metadata via the Metadata Plus program. Bibliographic metadata is made available without copyright restriction and Crossref generated data under a CC0 licence. See metadata licence information for more details. Unpaywall. The Unpaywall Data Feed is used under license. Data is freely available from Unpaywall via the API, data dumps and as a data feed. Research Organization Registry which is made available under a CC0 licence.
description: The Curtin Open Knowledge Initiative (COKI) is a strategic initiative of the Research Office at Curtin, the Faculty of Humanities, School of Media, Creative Arts and Social Inquiry and the Curtin Institute for Computation, with additional support from the Mellon Foundation and the Arcadia Fund, a charitable fund of Lisbet Rausing and Peter Baldwin.
DOI: 10.5281/zenodo.8401372
title: COKI Open Access Dataset

description: The COKI Open Access Dataset measures open access performance for 221 countries and 14,477 institutions and is available in JSON Lines format. The data is visualised at the COKI Open Access Dashboard: https://open.coki.ac/. The COKI Open Access Dataset is created with the COKI Academic Observatory data collection pipeline, which fetches data about research publications from multiple sources, synthesises the datasets and creates the open access calculations for each country and institution. Each week a number of specialised research publication datasets are collected. The datasets that are used for the COKI Open Access Dataset release include Crossref Metadata, OpenAlex, Unpaywall and the Research Organization Registry. After fetching the datasets, they are synthesised to produce aggregate time series statistics for each country and institution in the dataset. The aggregate timeseries statistics include publication count, open access status and citation count. See https://open.coki.ac/data/ for the dataset schema. A new version of the dataset is deposited every week. <strong>Code</strong> The COKI Academic Observatory data collection pipeline is used to create the dataset. The COKI OA Website Github project contains the code for the web app that visualises the dataset at open.coki.ac. It can be found on Zenodo here. <strong>License</strong><br> COKI Open Access Dataset © 2022 by Curtin University is licenced under CC BY 4.0. <strong>Attributions</strong><br> This work contains information from: OpenAlex which is made available under the CC0 license. Crossref Metadata via the Metadata Plus program. Bibliographic metadata is made available without copyright restriction and Crossref generated data under a CC0 licence. See metadata licence information for more details. Unpaywall. The Unpaywall Data Feed is used under license. Data is freely available from Unpaywall via the API, data dumps and as a data feed. Research Organization Registry which is made available under a CC0 licence.
description: The Curtin Open Knowledge Initiative (COKI) is a strategic initiative of the Research Office at Curtin, the Faculty of Humanities, School of Media, Creative Arts and Social Inquiry and the Curtin Institute for Computation, with additional support from the Mellon Foundation and the Arcadia Fund, a charitable fund of Lisbet Rausing and Peter Baldwin.
DOI: 10.5281/zenodo.8436633
title: COKI Open Access Dataset

description: The COKI Open Access Dataset measures open access performance for 221 countries and 14,477 institutions and is available in JSON Lines format. The data is visualised at the COKI Open Access Dashboard: https://open.coki.ac/. The COKI Open Access Dataset is created with the COKI Academic Observatory data collection pipeline, which fetches data about research publications from multiple sources, synthesises the datasets and creates the open access calculations for each country and institution. Each week a number of specialised research publication datasets are collected. The datasets that are used for the COKI Open Access Dataset release include Crossref Metadata, OpenAlex, Unpaywall and the Research Organization Registry. After fetching the datasets, they are synthesised to produce aggregate time series statistics for each country and institution in the dataset. The aggregate timeseries statistics include publication count, open access status and citation count. See https://open.coki.ac/data/ for the dataset schema. A new version of the dataset is deposited every week. <strong>Code</strong> The COKI Academic Observatory data collection pipeline is used to create the dataset. The COKI OA Website Github project contains the code for the web app that visualises the dataset at open.coki.ac. It can be found on Zenodo here. <strong>License</strong><br> COKI Open Access Dataset © 2022 by Curtin University is licenced under CC BY 4.0. <strong>Attributions</strong><br> This work contains information from: OpenAlex which is made available under the CC0 license. Crossref Metadata via the Metadata Plus program. Bibliographic metadata is made available without copyright restriction and Crossref generated data under a CC0 licence. See metadata licence information for more details. Unpaywall. The Unpaywall Data Feed is used under license. Data is freely available from Unpaywall via the API, data dumps and as a data feed. Research Organization Registry which is made available under a CC0 licence.
description: The Curtin Open Knowledge Initiative (COKI) is a strategic initiative of the Research Office at Curtin, the Faculty of Humanities, School of Media, Creative Arts and Social Inquiry and the Curtin Institute for Computation, with additional support from the Mellon Foundation and the Arcadia Fund, a charitable fund of Lisbet Rausing and Peter Baldwin.
DOI: 10.25582/data.2024-04.3083049/2548034
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3083052/2548035
title: Data for EMSL Project 51287 from April 2024
DOI: 10.25582/data.2024-04.3083053/2548036
title: Data for EMSL Project 51287 from April 2024
DOI: 10.15468/dl.sbneyg
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rumex alpinus Gand."
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008385-250127130748423/datasets/export for details.
DOI: 10.34740/kaggle/dsv/10641712
title: World Stock Prices ( Daily Updating )
DOI: 10.15468/dl.95cbbx
title: Occurrence Download

description: A dataset containing 16512 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Oenothera laciniata Hill"
 ]
}

 The dataset includes 16512 records from 377 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008386-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.chpjhe
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rumex alpinus × obtusifolius"
 ]
}

 The dataset includes 6 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008387-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jschbm
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Mustela furo-putorius"
 ]
}

 The dataset includes 4 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008388-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p4wtpz
title: Occurrence Download

description: A dataset containing 542014 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pinus pinaster Aiton"
 ]
}

 The dataset includes 542014 records from 894 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008378-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.96c9gp
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rumex alpinus × aquaticus"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008389-250127130748423/datasets/export for details.
DOI: 10.15468/dl.2pyygr
title: Occurrence Download

description: A dataset containing 16505 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Monarda citriodora Cerv. ex Lag."
 ]
}

 The dataset includes 16505 records from 176 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008390-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8v2nbh
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rumex alpinus x obtusifolius"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008392-250127130748423/datasets/export for details.
DOI: 10.15468/dl.r6w4sz
title: Occurrence Download

description: A dataset containing 814 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pinus pinaster Soland."
 ]
}

 The dataset includes 814 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008393-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z258wy
title: Occurrence Download

description: A dataset containing 95352 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sciurus niger Linnaeus, 1758"
 ]
}

 The dataset includes 95352 records from 135 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008391-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uabcea
title: Occurrence Download

description: A dataset containing 144 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Monarda citriodora Cerv."
 ]
}

 The dataset includes 144 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008394-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tps6q4
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pinus pinaster Loudon, 1838"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008396-250127130748423/datasets/export for details.
DOI: 10.15468/dl.uqx4bs
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rumex alpinus × longifolius"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008395-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6n2z77
title: Occurrence Download

description: A dataset containing 123 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Monarda citriodora Cerv. ex Lagasca"
 ]
}

 The dataset includes 123 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008398-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4da8uq
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pinus ×pinasteroides H.Lév., 1917"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008401-250127130748423/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.27635490.v1
title: My rawdata

description: Raw data from A Novel Genus of Virulent Phage Targeting Acinetobacter baumannii: Efficacy and Safety in a Murine Model of Pulmonary Infection
DOI: 10.15468/dl.atx6nt
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rumex alpinus x aquaticus"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008400-250127130748423/datasets/export for details.
DOI: 10.15468/dl.nkyhps
title: Occurrence Download

description: A dataset containing 329 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is TZA",
 "OccurrenceStatus is Present",
 "TaxonKey is Spodoptera frugiperda J.E.Smith, 1797"
 ]
}

 The dataset includes 329 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004222-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15234577
title: Anonymized Radiographic and MRI Measurements for Tibial Tunnel Evaluation in ACL Reconstruction

description: This dataset contains anonymized radiographic and MRI measurements from 38 patients who underwent anatomical anterior cruciate ligament (ACL) reconstruction. The data were collected retrospectively to evaluate tibial tunnel angles using both 2D radiographic and 3D MRI methods. This dataset was used for the analysis presented in the manuscript titled “Comparison of a New Radiographic Technique with MRI Measurements for Tibial Tunnel Evaluation in ACL Reconstruction,” currently under review in Diagnostics (MDPI). The data are intended for academic use and reproducibility of results. All patient identifiers have been removed to ensure confidentiality.