cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.13768090
title: The impact of social complexity on the efficacy of natural selection in termites

description: This repository contains the dataset and markdown files necessary to reproduce the analysis conducted for the article entitled Social evolution in termites reduces natural selection efficacy (NEW TITLE: The impact of social complexity on the efficacy of natural selection in termites). It includes both raw and processed data, as well as all scripts used in the analysis, organized by the order of execution. Instructions for setting up the environment and running the scripts are provided to facilitate replication of the results.

Here, we look at the distribution of dN/dS within Blattodea and Isoptera in order to test for a positive relationship with eusociality.

The file analysis.html is a R-markdown file describing step by step the analysis of the submitted manuscript. To reproduce the analysis, all files have to be downloaded within the same directory.

For any further information or questions, please contact camille.roux@univ-lille.fr or jonathan.romiguier@umontpellier.fr.

Please cite this repository if you use these materials in your research.
DOI: 10.5281/zenodo.13880708
title: The impact of social complexity on the efficacy of natural selection in termites

description: This repository contains the dataset and markdown files necessary to reproduce the analysis conducted for the article entitled Social evolution in termites reduces natural selection efficacy (NEW TITLE: The impact of social complexity on the efficacy of natural selection in termites). It includes both raw and processed data, as well as all scripts used in the analysis, organized by the order of execution. Instructions for setting up the environment and running the scripts are provided to facilitate replication of the results.

Here, we look at the distribution of dN/dS within Blattodea and Isoptera in order to test for a positive relationship with eusociality.

The file analysis.html is a R-markdown file describing step by step the analysis of the submitted manuscript. To reproduce the analysis, all files have to be downloaded within the same directory.

For any further information or questions, please contact camille.roux@univ-lille.fr or jonathan.romiguier@umontpellier.fr.

Please cite this repository if you use these materials in your research.
DOI: 10.15468/dl.tnkvye
title: Occurrence Download

description: A dataset containing 1141 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Bolivia (Plurinational State of)",
 "OccurrenceStatus is Present",
 "TaxonKey is Chordata",
 "TypeStatus is one of (Unspecified type, Holotype, Neotype, Topotype, Syntype, Lectotype, Cotype)"
 ]
}

 The dataset includes 1141 records from 79 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037803-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.6473605
title: COALMOD-World 2.0 data, results, figures for: Stranded Assets in the Coal Export Industry? The Case of the Australian Galilee Basin

description: This dataset contains all COALMOD-World 2.0 data for Hauenstein et al. (2023): New coal mines in the Australian Galilee Basin are not economically viable and are prone to become stranded assets (doi.org/10.1016/j.oneear.2023.07.005).

With the input data files and the GAMS scenario file the model (https://github.com/chauenstein/COALMOD-World_v2.0) can be run to reproduce the model results.

Furthermore, the output.zip folder contains the results file, the R code to compile the figures, and PDFs of the figures.
DOI: 10.5281/zenodo.6473606
title: COALMOD-World 2.0 input data - Stranded Assets in the Coal Export Industry? The Case of the Australian Galilee Basin

description: This dataset contains the COALMOD-World 2.0 Input_Data files for the scenario runs in Hauenstein et al. (in preparation): Stranded Assets in the Coal Export Industry? The Case of the Australian Galilee Basin.
DOI: 10.5281/zenodo.6483464
title: COALMOD-World 2.0 data, results, figures for: Stranded Assets in the Coal Export Industry? The Case of the Australian Galilee Basin

description: This dataset contains all COALMOD-World 2.0 data for Hauenstein et al. (in preparation): Stranded Assets in the Coal Export Industry? The Case of the Australian Galilee Basin. With the input data files and the GAMS scenario file the model (https://github.com/chauenstein/COALMOD-World_v2.0) can be run to reproduce the model results. Furthermore, the output.zip folder contains the results file, the R code to compile the figures, and PDFs of the figures.
DOI: 10.5281/zenodo.7534651
title: COALMOD-World 2.0 data, results, figures for: Stranded Assets in the Coal Export Industry? The Case of the Australian Galilee Basin

description: This dataset contains all COALMOD-World 2.0 data for Hauenstein et al. (2023): New coal mines in the Australian Galilee Basin are not economically viable and are prone to become stranded assets (doi.org/10.1016/j.oneear.2023.07.005).

With the input data files and the GAMS scenario file the model (https://github.com/chauenstein/COALMOD-World_v2.0) can be run to reproduce the model results.

Furthermore, the output.zip folder contains the results file, the R code to compile the figures, and PDFs of the figures.
DOI: 10.6084/m9.figshare.27151443
title: Supporting data for the publication "Photodegradation Reveals that Singlet Energy Transfer Impedes Energy-gradient-driven Singlet Fission in Polyacene Blends"

description: Zip file containing photodegradation data of TIPS-Tn and TIPS-Pn NPs, and jupyter notebook for fitting data to various models.
DOI: 10.15468/dl.jfukgb
title: Occurrence Download

description: A dataset containing 381 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "DatasetKey is one of (RU-BIRDS.RU, Birds observations database from Russia and neighboring regions. Zoological Museum of M.V. Lomonosov Moscow State University., EOD – eBird Observation Dataset)",
 "Geometry POLYGON((87.10441 53.71214,87.21188 53.72877,87.40714 53.79547,87.12867 53.91723,87.01137 53.87071,87.051 53.7921,87.10441 53.71214))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Aves"
 ]
}

 The dataset includes 381 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037804-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9eq663
title: Occurrence Download

description: A dataset containing 222234 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Uganda",
 "Geometry POLYGON((29.81014 -0.83397,29.76836 -0.80056,29.66184 -0.82353,29.53234 -0.94257,29.54905 -1.05116,29.5595 -1.18899,29.68273 -1.23493,29.81849 -1.19108,29.90622 -1.10546,29.88324 -0.96763,29.81014 -0.83397))",
 "HasGeospatialIssue is false",
 "IucnRedListCategory is one of (EX, EW, CR, EN, VU, NT, LC, DD, NE)",
 "OccurrenceStatus is Present",
 "Year 2000-2024"
 ]
}

 The dataset includes 222234 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037772-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13880684
title: Engagement and Purchase Intention in storydoing and storytelling for Instagram ads

description: This is a database with which we have worked on the engagement and purchase intention generated by storydoing and storytelling advertising.
DOI: 10.5281/zenodo.13880685
title: Engagement and Purchase Intention in storydoing and storytelling for Instagram ads

description: This is a database with which we have worked on the engagement and purchase intention generated by storydoing and storytelling advertising.
DOI: 10.15468/dl.t427cy
title: Occurrence Download

description: A dataset listing the 520 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((33.92525 4.16645,33.65095 3.87843,33.74719 3.7872,33.88194 3.84962,34.00705 3.98405,33.98781 4.12326,33.92525 4.16645))",
 "HasGeospatialIssue is false",
 "IucnRedListCategory is one of (EX, DD, LC, NE, NT, VU, EN, CR, EW)",
 "OccurrenceStatus is Present",
 "Year 2000-2024"
 ]
}

 The dataset's 520 records were derived from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037775-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wezs5e
title: Occurrence Download

description: A dataset containing 18640 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Bolivia (Plurinational State of)",
 "ClassKey is Aves",
 "Year is greater than or equal to 1980",
 "HasCoordinate is true",
 "CoordinateUncertaintyInMeters is less than or equal to 1000",
 {
 "not" : {
 "DatasetKey" : [
 "is EOD – eBird Observation Dataset"
 ]
 }
 }
 ]
}

 The dataset includes 18640 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037805-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pjhrqv
title: Occurrence Download

description: A dataset containing 56 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Denmark",
 "Issue is Continent coordinate mismatch",
 "OccurrenceStatus is Present",
 "PublishingOrg is 977178c7-76fe-4c86-94f3-cf039ede5c3c"
 ]
}

 The dataset includes 56 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037806-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3x8xx5
title: Occurrence Download

description: A dataset containing 46 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Burundi",
 "TaxonKey is Xymalos monospora (Harv.) Baill."
 ]
}

 The dataset includes 46 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037807-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/9530903
title: Forex Exchange Rates Since 2004 (Updated Daily)
DOI: 10.15468/dl.fmrj3s
title: Occurrence Download

description: A dataset containing 242855 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Uganda",
 "Geometry POLYGON((31.18657 1.98665,31.91622 1.98665,31.91622 2.54138,31.18657 2.54138,31.18657 1.98665))",
 "HasGeospatialIssue is false",
 "IucnRedListCategory is one of (EX, EW, CR, EN, VU, NT, LC, DD, NE)",
 "OccurrenceStatus is Present",
 "Year 2000-2024"
 ]
}

 The dataset includes 242855 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037773-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13862987
title: Reproducibility Test Data of 4 MHub Models

description: This dataset provides test data for 4 models integrated within the MHub platform, a robust solution for deploying, managing, and testing deep learning models tailored for medical imaging. Each model is accompanied by a zip file containing data specific to its "default" workflow.

Dataset Composition:



Sample Folder: Contains the input data utilized for testing the model’s functionality.

Reference Folder: Contains the corresponding output provided by the original model contributor.


Sample Data Source:

The sample images used in this dataset are sourced from public datasets available through the Imaging Data Commons (IDC), a repository that provides access to a wide range of medical imaging data. This ensures that the test cases reflect real-world clinical scenarios, facilitating robust validation of model performance.

About MHub:

MHub (mhub.ai) is an innovative platform designed to simplify the deployment, management, and testing of deep learning models for medical imaging. It enables researchers and clinicians to integrate AI-based solutions into clinical workflows while ensuring reproducibility and scalability. The platform provides a modular framework where users can execute complex workflows, such as image segmentation, classification, and registration, leveraging state-of-the-art AI models. MHub's goal is to accelerate the development and clinical adoption of medical imaging models by providing a streamlined, user-friendly environment for testing and validating new algorithms.

For more information on the platform and its capabilities, visit mhub.ai.
DOI: 10.5281/zenodo.13862988
title: Test Dataset for 3D semantic image segmentation of the Lung and Nodules
DOI: 10.5281/zenodo.13880663
title: Reproducibility Test Data of 4 MHub Models

description: This dataset provides test data for 4 models integrated within the MHub platform, a robust solution for deploying, managing, and testing deep learning models tailored for medical imaging. Each model is accompanied by a zip file containing data specific to its "default" workflow.

Dataset Composition:



Sample Folder: Contains the input data utilized for testing the model’s functionality.

Reference Folder: Contains the corresponding output provided by the original model contributor.


Sample Data Source:

The sample images used in this dataset are sourced from public datasets available through the Imaging Data Commons (IDC), a repository that provides access to a wide range of medical imaging data. This ensures that the test cases reflect real-world clinical scenarios, facilitating robust validation of model performance.

About MHub:

MHub (mhub.ai) is an innovative platform designed to simplify the deployment, management, and testing of deep learning models for medical imaging. It enables researchers and clinicians to integrate AI-based solutions into clinical workflows while ensuring reproducibility and scalability. The platform provides a modular framework where users can execute complex workflows, such as image segmentation, classification, and registration, leveraging state-of-the-art AI models. MHub's goal is to accelerate the development and clinical adoption of medical imaging models by providing a streamlined, user-friendly environment for testing and validating new algorithms.

For more information on the platform and its capabilities, visit mhub.ai.
DOI: 10.25413/sun.27152373
title: Geospatial and temporal mapping of detectable HIV-1 viral loads amid dolutegravir rollout in KwaZulu-Natal, South Africa.

description: South Africa rolled out dolutegravir (DTG) as first-line antiretroviral therapy (ART) in December 2019 to overcome high rates of pretreatment non-nucleoside reverse transcriptase inhibitor drug resistance. In the context of transition to DTG-based ART, this study spatiotemporally analysed detectable HIV viral loads (VLs) prior to- and following DTG rollout in public-sector healthcare facilities in KwaZulu-Natal (KZN) province, the epicentre of the HIV epidemic in South Africa. We retrospectively curated a HIV VL database using de-identified routine VL data obtained from the National Health Laboratory Service for the period January 2018 to June 2022. We analysed trends in HIV viraemia and mapped median log10 HIV VLs per facility on inverse distance weighted interpolation maps. We used Getis-Ord Gi* hotspot analysis to identify geospatial HIV hotspots. We obtained 7,639,978 HIV VL records from 736 healthcare facilities across KZN, of which 1,031,171 (13.5%) had detectable VLs (i.e., VLs ≥400 copies/millilitre (mL)). Of those with detectable VLs, we observed an overall decrease in HIV VLs between 2018 and 2022 (median 4.093 log10 copies/mL; 95% confidence interval (CI) 4.087–4.100 to median 3.563 log10 copies/mL; CI 3.553–3.572), p&lt;0.01 (median test). The downward trend in proportion of HIV VLs ≥1000 copies/mL over time was accompanied by an inverse upward trend in the proportion of HIV VLs between 400 and 999 copies/mL. Moreover, specific coastal and northern districts of KZN had persistently higher VLs, with emergent hotspots demonstrating spatial clustering of high median log10 HIV VLs. The overall decrease in HIV VLs over time shows good progress towards achieving UNAIDS 95-95-95 targets in KZN, South Africa. The DTG-transition has been associated with a reduction in VLs, however, there is a need for pre-emptive monitoring of low-level viraemia. Furthermore, our findings highlight that specific districts will need intensified HIV care despite DTG rollout.
DOI: 10.25413/sun.27152373.v1
title: Geospatial and temporal mapping of detectable HIV-1 viral loads amid dolutegravir rollout in KwaZulu-Natal, South Africa.

description: South Africa rolled out dolutegravir (DTG) as first-line antiretroviral therapy (ART) in December 2019 to overcome high rates of pretreatment non-nucleoside reverse transcriptase inhibitor drug resistance. In the context of transition to DTG-based ART, this study spatiotemporally analysed detectable HIV viral loads (VLs) prior to- and following DTG rollout in public-sector healthcare facilities in KwaZulu-Natal (KZN) province, the epicentre of the HIV epidemic in South Africa. We retrospectively curated a HIV VL database using de-identified routine VL data obtained from the National Health Laboratory Service for the period January 2018 to June 2022. We analysed trends in HIV viraemia and mapped median log10 HIV VLs per facility on inverse distance weighted interpolation maps. We used Getis-Ord Gi* hotspot analysis to identify geospatial HIV hotspots. We obtained 7,639,978 HIV VL records from 736 healthcare facilities across KZN, of which 1,031,171 (13.5%) had detectable VLs (i.e., VLs ≥400 copies/millilitre (mL)). Of those with detectable VLs, we observed an overall decrease in HIV VLs between 2018 and 2022 (median 4.093 log10 copies/mL; 95% confidence interval (CI) 4.087–4.100 to median 3.563 log10 copies/mL; CI 3.553–3.572), p&lt;0.01 (median test). The downward trend in proportion of HIV VLs ≥1000 copies/mL over time was accompanied by an inverse upward trend in the proportion of HIV VLs between 400 and 999 copies/mL. Moreover, specific coastal and northern districts of KZN had persistently higher VLs, with emergent hotspots demonstrating spatial clustering of high median log10 HIV VLs. The overall decrease in HIV VLs over time shows good progress towards achieving UNAIDS 95-95-95 targets in KZN, South Africa. The DTG-transition has been associated with a reduction in VLs, however, there is a need for pre-emptive monitoring of low-level viraemia. Furthermore, our findings highlight that specific districts will need intensified HIV care despite DTG rollout.
DOI: 10.15468/dl.mejtec
title: Occurrence Download

description: A dataset containing 2074735 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Bolivia (Plurinational State of)",
 "Year is greater than or equal to 1980"
 ]
}

 The dataset includes 2074735 records from 938 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037742-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7jdskv
title: Occurrence Download

description: A dataset containing 3922 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Madagascar",
 "OccurrenceStatus is Present",
 "TaxonKey is Lycopodiopsida"
 ]
}

 The dataset includes 3922 records from 52 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037809-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6gm2r7
title: Occurrence Download

description: A dataset containing 38493 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pelophylax esculentus (Linnaeus, 1758)"
 ]
}

 The dataset includes 38493 records from 135 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037808-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5518/102
title: Dataset associated with 'Influence of hip joint simulator design and mechanics on the wear and creep of metal-on-polyethylene bearings'

description: This dataset contains the input and output load and angular displacement data from the hip joint simulators used in this study. The dataset also contains the volumetric wear rates of the polyethylene liners, the output images of the liner surfaces from the coordinate measurement machine and Redlux software, and the liner penetration depths.
DOI: 10.15468/dl.b7fepb
title: Occurrence Download

description: A dataset containing 2963 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Balearica pavonina (Linnaeus, 1758)"
 ]
}

 The dataset includes 2963 records from 111 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037812-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/6sj-vxy-vc6
title: Tuckneraria laureri (Kremp.) Randlane & A. Thell

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/wts-68v-5k2
title: Tuckneraria laureri (Kremp.) Randlane & A. Thell

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/xkv-ca8-n3j
title: Tuckneraria laureri (Kremp.) Randlane & A. Thell

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.15468/dl.48sr7r
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Epilobium nummularifolium",
 "Country is Australia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 13 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047118-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/53p-47e-mdq
title: Tuckneraria laureri (Kremp.) Randlane & A. Thell

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/wrp-6ed-03m
title: Tuckneraria laureri (Kremp.) Randlane & A. Thell

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/agx-jdw-l30
title: Umbilicaria hyperborea (Ach.) Hoffm.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/8rx-y5h-x5n
title: Umbilicaria hyperborea (Ach.) Hoffm.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/5dp-hba-gv2
title: Tuckneraria laureri (Kremp.) Randlane & A. Thell

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/nyd-pcx-00b
title: Lopadium disciforme (Flot.) Kullh.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/e2y-th8-her
title: Lopadium disciforme (Flot.) Kullh.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/y1v-nwg-1p7
title: Lopadium pezizoideum (Ach.) Körb.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/7qe-1q4-xqg
title: Loxospora cismonica (Beltr.) Hafellner

description: Digital Specimen for the physical specimen hosted at University of Graz.