cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.15073637
title: SC2EGSet: StarCraft II Esport Game State Dataset

description: SC2EGSet: StarCraft II Esport Game State Dataset

This repository contains pre-processed data that was generated from the SC2ReSet: StarCraft II Esports Replaypack Set

Data Modeling

Our official aplication programing interface (API) implementation supports downloading, unpacking, loading and data access features. Please refer to: GitHub SC2_Datasets

License Information

This dataset is licensed under the following license: Creative Commons Attribution 4.0 International (CC BY 4.0 International)

Changelog

Please refer to the CHANGELOG.md file within this repository for full changelog.

Citation

If you use this dataset you can chose to cite the projects and/or articles presented below.

Dataset Description Pre-print

To cite the article that introduces SC2ReSet and SC2EGSet use this:



```@article{Bialecki2023,

  author   = {Bia{\l}ecki, Andrzej

              and Jakubowska, Natalia

              and Dobrowolski, Pawe{\l}

              and Bia{\l}ecki, Piotr

              and Krupi{\'{n}}ski, Leszek

              and Szczap, Andrzej

              and Bia{\l}ecki, Robert

              and Gajewski, Jan},

  title    = {SC2EGSet: StarCraft II Esport Replay and Game-state Dataset},

  journal  = {Scientific Data},

  year     = {2023},

  month    = {Sep},

  day      = {08},

  volume   = {10},

  number   = {1},

  pages    = {600},

  issn     = {2052-4463},

  doi      = {10.1038/s41597-023-02510-7},

  url      = {https://doi.org/10.1038/s41597-023-02510-7}

}```

 

SC2ReSet: StarCraft II Esport Replaypack Set


To cite the replay collection that was used to generate the dataset use this:

@dataset{bialecki_andrzej_2022_5575797,
  author       = {Białecki, Andrzej},
  title        = {SC2ReSet: StarCraft II Esport Replaypack Set},
  month        = mar,
  year         = 2025,
  publisher    = {Zenodo},
  version      = {2.0.0},
  doi          = {10.5281/zenodo.5575797},
  url          = {https://doi.org/10.5281/zenodo.5575797}
}
DOI: 10.5281/zenodo.5503998
title: SC2EGSet: StarCraft II Esport Game State Dataset

description: <strong>SC2EGSet: StarCraft II Esport Game State Dataset</strong> This repository contains pre-processed data that was generated from the SC2ReSet: StarCraft II Esports Replaypack Set <strong>Data Modeling</strong> Our aplication programing interface (API) implementation supports downloading, unpacking, loading and data access features. Please refer to: https://github.com/Kaszanas/SC2EGSet_Dataset <strong>License Information</strong> This dataset is licensed under the following license: Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)
DOI: 10.5281/zenodo.6629349
title: SC2EGSet: StarCraft II Esport Game State Dataset

description: <strong>SC2EGSet: StarCraft II Esport Game State Dataset</strong> This repository contains pre-processed data that was generated from the SC2ReSet: StarCraft II Esports Replaypack Set <strong>Data Modeling</strong> Our aplication programing interface (API) implementation supports downloading, unpacking, loading and data access features. Please refer to: https://github.com/Kaszanas/SC2EGSet_Dataset <strong>License Information</strong> This dataset is licensed under the following license: Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)
DOI: 10.5281/zenodo.6903505
title: SC2EGSet: StarCraft II Esport Game State Dataset

description: <strong>SC2EGSet: StarCraft II Esport Game State Dataset</strong> This repository contains pre-processed data that was generated from the SC2ReSet: StarCraft II Esports Replaypack Set <strong>Data Modeling</strong> Our official aplication programing interface (API) implementation supports downloading, unpacking, loading and data access features. Please refer to: GitHub SC2EGSet_Dataset <strong>License Information</strong> This dataset is licensed under the following license: Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) <strong>Changelog</strong> Please refer to the CHANGELOG.md file within this repository for full changelog. <strong>Citation</strong> If you use this dataset you can chose to cite the projects and/or articles presented below. <strong>Dataset Description Pre-print</strong> To cite the article that introduces SC2ReSet and SC2EGSet use this: <pre><code>@misc{https://doi.org/10.48550/arxiv.2207.03428, doi = {10.48550/ARXIV.2207.03428}, url = {https://arxiv.org/abs/2207.03428}, author = {Białecki, Andrzej and Jakubowska, Natalia and Dobrowolski, Paweł and Białecki, Piotr and Krupiński, Leszek and Szczap, Andrzej and Białecki, Robert and Gajewski, Jan}, keywords = {Machine Learning (cs.LG), Artificial Intelligence (cs.AI), Machine Learning (stat.ML), FOS: Computer and information sciences, FOS: Computer and information sciences}, title = {SC2EGSet: StarCraft II Esport Replay and Game-state Dataset}, publisher = {arXiv}, year = {2022}, copyright = {Creative Commons Attribution 4.0 International} } </code></pre> <strong>SC2ReSet: StarCraft II Esport Replaypack Set</strong> To cite the replay collection that was used to generate the dataset use this: <pre><code>@dataset{bialecki_andrzej_2022_5575797, author = {Białecki, Andrzej}, title = {SC2ReSet: StarCraft II Esport Replaypack Set}, month = jun, year = 2022, publisher = {Zenodo}, version = {1.0.0}, doi = {10.5281/zenodo.5575797}, url = {https://doi.org/10.5281/zenodo.5575797} } </code></pre>
DOI: 10.5281/zenodo.8003469
title: SC2EGSet: StarCraft II Esport Game State Dataset

description: <strong>SC2EGSet: StarCraft II Esport Game State Dataset</strong> This repository contains pre-processed data that was generated from the SC2ReSet: StarCraft II Esports Replaypack Set <strong>Data Modeling</strong> Our official aplication programing interface (API) implementation supports downloading, unpacking, loading and data access features. Please refer to: GitHub SC2EGSet_Dataset <strong>License Information</strong> This dataset is licensed under the following license: Creative Commons Attribution 4.0 International (CC BY 4.0 International) <strong>Changelog</strong> Please refer to the CHANGELOG.md file within this repository for full changelog. <strong>Citation</strong> If you use this dataset you can chose to cite the projects and/or articles presented below. <strong>Dataset Description Pre-print</strong> To cite the article that introduces SC2ReSet and SC2EGSet use this: <pre><code>@misc{https://doi.org/10.48550/arxiv.2207.03428, doi = {10.48550/ARXIV.2207.03428}, url = {https://arxiv.org/abs/2207.03428}, author = {Białecki, Andrzej and Jakubowska, Natalia and Dobrowolski, Paweł and Białecki, Piotr and Krupiński, Leszek and Szczap, Andrzej and Białecki, Robert and Gajewski, Jan}, keywords = {Machine Learning (cs.LG), Artificial Intelligence (cs.AI), Machine Learning (stat.ML), FOS: Computer and information sciences, FOS: Computer and information sciences}, title = {SC2EGSet: StarCraft II Esport Replay and Game-state Dataset}, publisher = {arXiv}, year = {2022}, copyright = {Creative Commons Attribution 4.0 International} } </code></pre> <strong>SC2ReSet: StarCraft II Esport Replaypack Set</strong> To cite the replay collection that was used to generate the dataset use this: <pre><code>@dataset{bialecki_andrzej_2022_5575797, author = {Białecki, Andrzej}, title = {SC2ReSet: StarCraft II Esport Replaypack Set}, month = jun, year = 2022, publisher = {Zenodo}, version = {1.0.0}, doi = {10.5281/zenodo.5575797}, url = {https://doi.org/10.5281/zenodo.5575797} } </code></pre>
DOI: 10.25582/data.2024-03.3066986/2534959
title: Data for EMSL Project 51287 from March 2024
DOI: 10.5281/zenodo.14963484
title: SC2EGSet: StarCraft II Esport Game State Dataset

description: SC2EGSet: StarCraft II Esport Game State Dataset

This repository contains pre-processed data that was generated from the SC2ReSet: StarCraft II Esports Replaypack Set

Data Modeling

Our official aplication programing interface (API) implementation supports downloading, unpacking, loading and data access features. Please refer to: GitHub SC2_Datasets

License Information

This dataset is licensed under the following license: Creative Commons Attribution 4.0 International (CC BY 4.0 International)

Changelog

Please refer to the CHANGELOG.md file within this repository for full changelog.

Citation

If you use this dataset you can chose to cite the projects and/or articles presented below.

Dataset Description Pre-print

To cite the article that introduces SC2ReSet and SC2EGSet use this:



```@article{Bialecki2023,

  author   = {Bia{\l}ecki, Andrzej

              and Jakubowska, Natalia

              and Dobrowolski, Pawe{\l}

              and Bia{\l}ecki, Piotr

              and Krupi{\'{n}}ski, Leszek

              and Szczap, Andrzej

              and Bia{\l}ecki, Robert

              and Gajewski, Jan},

  title    = {SC2EGSet: StarCraft II Esport Replay and Game-state Dataset},

  journal  = {Scientific Data},

  year     = {2023},

  month    = {Sep},

  day      = {08},

  volume   = {10},

  number   = {1},

  pages    = {600},

  issn     = {2052-4463},

  doi      = {10.1038/s41597-023-02510-7},

  url      = {https://doi.org/10.1038/s41597-023-02510-7}

}```

 

SC2ReSet: StarCraft II Esport Replaypack Set


To cite the replay collection that was used to generate the dataset use this:

@dataset{bialecki_andrzej_2022_5575797,
  author       = {Białecki, Andrzej},
  title        = {SC2ReSet: StarCraft II Esport Replaypack Set},
  month        = mar,
  year         = 2025,
  publisher    = {Zenodo},
  version      = {2.0.0},
  doi          = {10.5281/zenodo.5575797},
  url          = {https://doi.org/10.5281/zenodo.5575797}
}
DOI: 10.25582/data.2024-03.3066987/2534960
title: Data for EMSL Project 51287 from March 2024
DOI: 10.25582/data.2024-03.3066988/2534961
title: Data for EMSL Project 51287 from March 2024
DOI: 10.25582/data.2024-03.3066989/2534962
title: Data for EMSL Project 51287 from March 2024
DOI: 10.25582/data.2024-03.3066990/2534963
title: Data for EMSL Project 51287 from March 2024
DOI: 10.25901/9jtg-fn47
title: Alice Springs Mulga Flux Data Release 2025_v1
DOI: 10.25582/data.2024-03.3066993/2534964
title: Data for EMSL Project 51287 from March 2024
DOI: 10.25582/data.2024-03.3066994/2534965
title: Data for EMSL Project 51287 from March 2024
DOI: 10.15468/dl.3mb6yq
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-48.99517 -25.7842,-47.8863 -25.81313,-47.8863 -25.10281,-48.77661 -25.06424,-48.99517 -25.7842))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Testudines"
 ]
}

 The dataset includes 8 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023915-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2024-03.3066995/2534966
title: Data for EMSL Project 51287 from March 2024
DOI: 10.25582/data.2024-03.3066998/2534967
title: Data for EMSL Project 51287 from March 2024
DOI: 10.25582/data.2024-03.3067000/2534968
title: Data for EMSL Project 51287 from March 2024
DOI: 10.25582/data.2024-03.3067001/2534969
title: Data for EMSL Project 51287 from March 2024
DOI: 10.25582/data.2024-03.3067003/2534970
title: Data for EMSL Project 51287 from March 2024
DOI: 10.25582/data.2024-03.3067005/2534971
title: Data for EMSL Project 51287 from March 2024
DOI: 10.25582/data.2024-03.3067010/2534972
title: Data for EMSL Project 51287 from March 2024
DOI: 10.25582/data.2024-03.3067015/2534973
title: Data for EMSL Project 51287 from March 2024
DOI: 10.25582/data.2024-03.3067016/2534974
title: Data for EMSL Project 51287 from March 2024
DOI: 10.15468/dl.byrmpt
title: Occurrence Download

description: A dataset containing 316 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Acacia albida Delile, Acacia albida Lindl., Acacia albida Rojas Acosta)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 316 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023916-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2024-03.3067018/2534975
title: Data for EMSL Project 51287 from March 2024
DOI: 10.25582/data.2024-03.3067019/2534976
title: Data for EMSL Project 51287 from March 2024
DOI: 10.25582/data.2024-03.3067020/2534977
title: Data for EMSL Project 51287 from March 2024
DOI: 10.15468/dl.mqkp6t
title: Occurrence Download

description: A dataset containing 1026823 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Balsaminaceae"
 ]
}

 The dataset includes 1026823 records from 2397 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023879-250310093411724/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.c.3767540_d5.v1
title: MOESM5 of A novel hairpin library-based approach to identify NBSâ  LRR genes required for effector-triggered hypersensitive response in Nicotiana benthamiana

description: Additional file 5. Sequences of the 345 R gene candidates (FASTA format).
DOI: 10.6084/m9.figshare.c.3767564_d1
title: Additional file 1: of Workplace violence against nurses in the Gambia: mixed methods design

description: Workplace violence against nurses dataset. Dataset containing results of workplace violence assessment questionnaire for nurses in the Gambia. (XLS 197 kb)
DOI: 10.6084/m9.figshare.c.3767540_d5
title: MOESM5 of A novel hairpin library-based approach to identify NBSâ  LRR genes required for effector-triggered hypersensitive response in Nicotiana benthamiana

description: Additional file 5. Sequences of the 345 R gene candidates (FASTA format).
DOI: 10.4121/247d47b7-2ea5-4e93-bffb-67620a66525c
title: Dataset: Use of commercial microwave links as scintillometers

description: Time series of recieved signal intensities of collocated microwave (and optical) links in September and October 2023, in Cabauw, the Netherlands. The antennas are placed in vibration-free towers at the north (51.967542 N, 4.929591 E) and south (51.974258 N, 4.923475 E) side of the KNMI terrain. The total link length is 856 m. The purpose of the field experiment was to explore the use of commercial microwave links (CMLs) as scintillometers. The Nokia and Ericsson antennas are the CML antennas, while the microwave scintillometer (MWS) and large-aperture scintillometer (LAS) are used as reference and auxiliary data. The signals are sampled using a Campbell Scientific CR1000 datalogger.<br>
DOI: 10.4121/247d47b7-2ea5-4e93-bffb-67620a66525c.v3
title: Dataset: Use of commercial microwave links as scintillometers

description: Time series of recieved signal intensities of collocated microwave (and optical) links in September and October 2023, in Cabauw, the Netherlands. The antennas are placed in vibration-free towers at the north (51.967542 N, 4.929591 E) and south (51.974258 N, 4.923475 E) side of the KNMI terrain. The total link length is 856 m. The purpose of the field experiment was to explore the use of commercial microwave links (CMLs) as scintillometers. The Nokia and Ericsson antennas are the CML antennas, while the microwave scintillometer (MWS) and large-aperture scintillometer (LAS) are used as reference and auxiliary data. The signals are sampled using a Campbell Scientific CR1000 datalogger.<br>
DOI: 10.6084/m9.figshare.c.3767540_d6.v1
title: MOESM6 of A novel hairpin library-based approach to identify NBSâ  LRR genes required for effector-triggered hypersensitive response in Nicotiana benthamiana

description: Additional file 6. Sequences of the 281 Kmers (FASTA format).
DOI: 10.6084/m9.figshare.c.3767540_d6
title: MOESM6 of A novel hairpin library-based approach to identify NBSâ  LRR genes required for effector-triggered hypersensitive response in Nicotiana benthamiana

description: Additional file 6. Sequences of the 281 Kmers (FASTA format).
DOI: 10.6084/m9.figshare.c.3769577_d8.v1
title: Additional file 7: Table S5. of Integrated data analysis reveals potential drivers and pathways disrupted by DNA methylation in papillary thyroid carcinomas

description: Differentially methylated probes in BRAFV600E PTC samples. Legend. FGD functional genomic distribution, CHR chromosome, DMR differential methylation region, RDMR reprogramming-specific differentially methylated region, CDMR cancer-specific differentially methylated region, ND not described, NA not available, NS not significant. (XLSX 624 kb)
DOI: 10.6084/m9.figshare.c.3769577_d8
title: Additional file 7: Table S5. of Integrated data analysis reveals potential drivers and pathways disrupted by DNA methylation in papillary thyroid carcinomas

description: Differentially methylated probes in BRAFV600E PTC samples. Legend. FGD functional genomic distribution, CHR chromosome, DMR differential methylation region, RDMR reprogramming-specific differentially methylated region, CDMR cancer-specific differentially methylated region, ND not described, NA not available, NS not significant. (XLSX 624 kb)
DOI: 10.15468/dl.szs8s5
title: Occurrence Download

description: A dataset containing 453 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Carangoides bartholomaei (Cuvier, 1833)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1900",
 "CoordinateUncertaintyInMeters is less than or equal to 10000"
 ]
}

 The dataset includes 453 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039193-241126133413365/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.c.3769619_d2.v1
title: Additional file 2 of Intervention in prediction measure: a new approach to assessing variable importance for random forests

description: R source code. This is a compressed (.zip) file with data and R codes for reproducing the results. There is a file called Readme.txt that explains the contents of six files. Two files contain the two real data sets. The R code for computing IPM for RF-CART and CIT-RF is available in one file. The R code for each of the simulations is available in another file, while the other two files contain the R codes for each application to real data. (ZIP 43 kb)
DOI: 10.6084/m9.figshare.c.3769619_d2
title: Additional file 2 of Intervention in prediction measure: a new approach to assessing variable importance for random forests

description: R source code. This is a compressed (.zip) file with data and R codes for reproducing the results. There is a file called Readme.txt that explains the contents of six files. Two files contain the two real data sets. The R code for computing IPM for RF-CART and CIT-RF is available in one file. The R code for each of the simulations is available in another file, while the other two files contain the R codes for each application to real data. (ZIP 43 kb)
DOI: 10.6084/m9.figshare.c.3769577_d9.v1
title: Additional file 8: Table S6. of Integrated data analysis reveals potential drivers and pathways disrupted by DNA methylation in papillary thyroid carcinomas

description: Expression data analysis in PTC versus NT samples and comparison with TCGA data according to the BRAF mutation. Legend. FC fold change, FDR false discovery rate. (XLSX 30 kb)
DOI: 10.15468/dl.uw5n7r
title: Occurrence Download

description: A dataset containing 147723 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Testudines)",
 "HasGeospatialIssue is false",
 {
 "or" : [
 "OccurrenceStatus is Absent",
 "OccurrenceStatus is Present"
 ]
 },
 {
 "or" : [
 "GadmGid is ALB",
 "GadmGid is AND",
 "GadmGid is AUT",
 "GadmGid is BEL",
 "GadmGid is BGR",
 "GadmGid is BIH",
 "GadmGid is BLR",
 "GadmGid is CHE",
 "GadmGid is CYP",
 "GadmGid is CZE",
 "GadmGid is DEU",
 "GadmGid is DNK",
 "GadmGid is ESP",
 "GadmGid is EST",
 "GadmGid is FIN",
 "GadmGid is FRA",
 "GadmGid is GBR",
 "GadmGid is GRC",
 "GadmGid is HRV",
 "GadmGid is HUN",
 "GadmGid is IRL",
 "GadmGid is ISL",
 "GadmGid is ITA",
 "GadmGid is LIE",
 "GadmGid is LTU",
 "GadmGid is LUX",
 "GadmGid is LVA",
 "GadmGid is MCO",
 "GadmGid is MDA",
 "GadmGid is MKD",
 "GadmGid is MLT",
 "GadmGid is MNE",
 "GadmGid is NLD",
 "GadmGid is NOR",
 "GadmGid is POL",
 "GadmGid is PRT",
 "GadmGid is ROU",
 "GadmGid is RUS",
 "GadmGid is SJM",
 "GadmGid is SMR",
 "GadmGid is SRB",
 "GadmGid is SVK",
 "GadmGid is SVN",
 "GadmGid is SWE",
 "GadmGid is TUR",
 "GadmGid is UKR",
 "GadmGid is VAT",
 "GadmGid is XKO",
 "GadmGid is ARM",
 "GadmGid is GEO",
 "GadmGid is AZE",
 "GadmGid is IMN",
 "GadmGid is FRO",
 "GadmGid is GGY",
 "GadmGid is JEY"
 ]
 }
 ]
}

 The dataset includes 147723 records from 1039 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021619-231120084113126/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.c.3769577_d9
title: Additional file 8: Table S6. of Integrated data analysis reveals potential drivers and pathways disrupted by DNA methylation in papillary thyroid carcinomas

description: Expression data analysis in PTC versus NT samples and comparison with TCGA data according to the BRAF mutation. Legend. FC fold change, FDR false discovery rate. (XLSX 30 kb)
DOI: 10.6084/m9.figshare.28053503
title: tiktok young aged 18-35 years

description: tiktok data
DOI: 10.6084/m9.figshare.28053503.v1
title: tiktok young aged 18-35 years

description: tiktok data
DOI: 10.6084/m9.figshare.c.3769724_d4
title: Additional file 13: of Transcriptome analysis of smut fungi reveals widespread intergenic transcription and conserved antisense transcript expression

description: BLASTn results find intergenic transcripts with similar sequences in smuts. (XLSX 285 kb)
DOI: 10.6084/m9.figshare.c.3769733_d3
title: Additional file 3: Table S3. of ICoVeR â   an interactive visualization tool for verification and refinement of metagenomic bins

description: CheckM results for ICoVeR-refined genome bins for Sharonâ  s dataset. (XLS 56Â kb)
DOI: 10.6084/m9.figshare.c.3769760_d1.v1
title: Additional file 1: Table S1. of Volatile organic compounds associated with Plasmodium falciparum infection in vitro

description: Characterization by flow cytometry. Raw readings show the size of isolated extracellular vesicles (EVs from three volunteers (biological replicates). In addition, PBS 1X was also analyzed to eliminate the buffer background. Numbers were obtained after averaging the raw data. (XLSX 50Â kb)
DOI: 10.6084/m9.figshare.c.3769730_d5.v1
title: Additional file 5: of Comparative costs and activity from a sample of UK clinical trials units

description: Summary of tasks by role by CTU. (XLSX 20 kb)
DOI: 10.6084/m9.figshare.c.3769760_d1
title: Additional file 1: Table S1. of Volatile organic compounds associated with Plasmodium falciparum infection in vitro

description: Characterization by flow cytometry. Raw readings show the size of isolated extracellular vesicles (EVs from three volunteers (biological replicates). In addition, PBS 1X was also analyzed to eliminate the buffer background. Numbers were obtained after averaging the raw data. (XLSX 50Â kb)
DOI: 10.6084/m9.figshare.c.3769724_d5
title: Additional file 14: of Transcriptome analysis of smut fungi reveals widespread intergenic transcription and conserved antisense transcript expression

description: U. maydis predicted antisense and putative orthologs with predicted antisense. (XLSX 436 kb)
DOI: 10.6084/m9.figshare.c.3769730_d5
title: Additional file 5: of Comparative costs and activity from a sample of UK clinical trials units

description: Summary of tasks by role by CTU. (XLSX 20 kb)