cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4737437
title: gCSI 2019

description: gCSI 2019 PharmacoSet (PSet) generated by ORCESTRA. Metadata can be found on ORCESTRA at: http://orcestra.ca/10.5281/zenodo.4737437. An unfiltered version of the gCSI dataset, updated since the publication in Haverty et al. <strong>Disclaimer</strong> The gCSI data were generated and shared by Genentech as part of the Genentech Cell Line Screening Initiative (Eva Lin, Yihong Yu, Scott Martin, Department of Discovery Oncology). The Haibe-Kains Lab has reprocessed and re-annotated the data to maximize overlap with other pharmacogenomic datasets. <strong>Data Usage Policy</strong> The data are provided under Creative Commons BY 4.0 license. Please note: The data files are experimental and academic in nature and are not licensed or certified by any regulatory body. Genentech provided the original data files on an “as is” basis and excludes all warranties of any kind (express or implied). <strong>Please cite the following when using these data</strong> Klijn C, Durinck S, Stawiski EW, Haverty PM, Jiang Z, Liu H, Degenhardt J, Mayba O, Gnad F, Liu J, Pau G, Reeder J, Cao Y, Mukhyala K, Selvaraj SK, Yu M, Zynda GJ, Brauer MJ, Wu TD, Gentleman RC, Manning G, Yauch RL, Bourgon R, Stokoe D, Modrusan Z, Neve RM, de Sauvage FJ, Settleman J, Seshagiri S, Zhang Z. A comprehensive transcriptional portrait of human cancer cell lines. Nat Biotechnol. 2015 Mar;33(3):306-12. doi: 10.1038/nbt.3080. Epub 2014 Dec 8. PMID: 25485619 Haverty PM, Lin E, Tan J, Yu Y, Lam B, Lianoglou S, Neve RM, Martin S, Settleman J, Yauch RL, Bourgon R. Reproducible pharmacogenomic profiling of cancer cell line panels. Nature. 2016 May 19;533(7603):333-7. doi: 10.1038/nature17987. PMID: 27193678
DOI: 10.5281/zenodo.4737436
title: gCSI 2019

description: gCSI 2019 PharmacoSet (PSet) generated by ORCESTRA. Metadata can be found on ORCESTRA at: http://orcestra.ca/10.5281/zenodo.4737437. An unfiltered version of the gCSI dataset, updated since the publication in Haverty et al. <strong>Disclaimer</strong> The gCSI data were generated and shared by Genentech as part of the Genentech Cell Line Screening Initiative (Eva Lin, Yihong Yu, Scott Martin, Department of Discovery Oncology). The Haibe-Kains Lab has reprocessed and re-annotated the data to maximize overlap with other pharmacogenomic datasets. <strong>Data Usage Policy</strong> The data are provided under Creative Commons BY 4.0 license. Please note: The data files are experimental and academic in nature and are not licensed or certified by any regulatory body. Genentech provided the original data files on an “as is” basis and excludes all warranties of any kind (express or implied). <strong>Please cite the following when using these data</strong> Klijn C, Durinck S, Stawiski EW, Haverty PM, Jiang Z, Liu H, Degenhardt J, Mayba O, Gnad F, Liu J, Pau G, Reeder J, Cao Y, Mukhyala K, Selvaraj SK, Yu M, Zynda GJ, Brauer MJ, Wu TD, Gentleman RC, Manning G, Yauch RL, Bourgon R, Stokoe D, Modrusan Z, Neve RM, de Sauvage FJ, Settleman J, Seshagiri S, Zhang Z. A comprehensive transcriptional portrait of human cancer cell lines. Nat Biotechnol. 2015 Mar;33(3):306-12. doi: 10.1038/nbt.3080. Epub 2014 Dec 8. PMID: 25485619 Haverty PM, Lin E, Tan J, Yu Y, Lam B, Lianoglou S, Neve RM, Martin S, Settleman J, Yauch RL, Bourgon R. Reproducible pharmacogenomic profiling of cancer cell line panels. Nature. 2016 May 19;533(7603):333-7. doi: 10.1038/nature17987. PMID: 27193678
DOI: 10.5281/zenodo.3905454
title: GRAY

description: GRAY PharmacoSet (PSet) generated by ORCESTRA. Metadata can be found on ORCESTRA at: http://orcestra.ca/10.5281/zenodo.3905454 <strong>Disclaimer</strong> The GRAY data were generated and shared by the Gray Lab at the Oregon Health & Science University (Laura MHeiser, Nicholas J Wang,, James E Korkola, Joe W Gray) in collaboration with the Sorger Lab at the Harvard Medical School (Marc Hafner, Elizabeth H Williams, Mario Niepel, Peter K Sorger). The Haibe-Kains Lab has reprocessed and re-annotated the data to maximize overlap with other pharmacogenomic datasets. <strong>Data Usage Policy</strong> The data are provided under CC0 1.0 Universal (CC0 1.0) Public Domain Dedication license. Source: https://datadryad.org/stash/dataset/doi:10.5061/dryad.03n60 <strong>Please cite the following when using these data</strong> Hafner M, Heiser LM, Williams EH, Niepel M, Wang NJ, Korkola JE, Gray JW, Sorger PK. Quantification of sensitivity and resistance of breast cancer cell lines to anti-cancer drugs using GR metrics. Sci Data. 2017 Nov 7;4:170166. doi: 10.1038/sdata.2017.166. PMID: 29112189; PMCID: PMC5674849. Daemen A, Griffith OL, Heiser LM, Wang NJ, Enache OM, Sanborn Z, Pepin F, Durinck S, Korkola JE, Griffith M, Hur JS, Huh N, Chung J, Cope L, Fackler MJ, Umbricht C, Sukumar S, Seth P, Sukhatme VP, Jakkula LR, Lu Y, Mills GB, Cho RJ, Collisson EA, van't Veer LJ, Spellman PT, Gray JW. Modeling precision treatment of breast cancer. Genome Biol. 2013;14(10):R110. doi: 10.1186/gb-2013-14-10-r110. Erratum in: Genome Biol. 2015;16:95. PMID: 24176112; PMCID: PMC3937590.
DOI: 10.5281/zenodo.3905453
title: GRAY

description: GRAY PharmacoSet (PSet) generated by ORCESTRA. Metadata can be found on ORCESTRA at: http://orcestra.ca/10.5281/zenodo.3905454 <strong>Disclaimer</strong> The GRAY data were generated and shared by the Gray Lab at the Oregon Health & Science University (Laura MHeiser, Nicholas J Wang,, James E Korkola, Joe W Gray) in collaboration with the Sorger Lab at the Harvard Medical School (Marc Hafner, Elizabeth H Williams, Mario Niepel, Peter K Sorger). The Haibe-Kains Lab has reprocessed and re-annotated the data to maximize overlap with other pharmacogenomic datasets. <strong>Data Usage Policy</strong> The data are provided under CC0 1.0 Universal (CC0 1.0) Public Domain Dedication license. Source: https://datadryad.org/stash/dataset/doi:10.5061/dryad.03n60 <strong>Please cite the following when using these data</strong> Hafner M, Heiser LM, Williams EH, Niepel M, Wang NJ, Korkola JE, Gray JW, Sorger PK. Quantification of sensitivity and resistance of breast cancer cell lines to anti-cancer drugs using GR metrics. Sci Data. 2017 Nov 7;4:170166. doi: 10.1038/sdata.2017.166. PMID: 29112189; PMCID: PMC5674849. Daemen A, Griffith OL, Heiser LM, Wang NJ, Enache OM, Sanborn Z, Pepin F, Durinck S, Korkola JE, Griffith M, Hur JS, Huh N, Chung J, Cope L, Fackler MJ, Umbricht C, Sukumar S, Seth P, Sukhatme VP, Jakkula LR, Lu Y, Mills GB, Cho RJ, Collisson EA, van't Veer LJ, Spellman PT, Gray JW. Modeling precision treatment of breast cancer. Genome Biol. 2013;14(10):R110. doi: 10.1186/gb-2013-14-10-r110. Erratum in: Genome Biol. 2015;16:95. PMID: 24176112; PMCID: PMC3937590.
DOI: 10.5281/zenodo.4557735
title: GRAY2017

description: GRAY2017 PharmacoSet (PSet) generated by ORCESTRA. Metadata can be found on ORCESTRA at: http://orcestra.ca/10.5281/zenodo.4557735 <strong>Disclaimer</strong> The GRAY data were generated and shared by the Gray Lab at the Oregon Health & Science University (Laura MHeiser, Nicholas J Wang,, James E Korkola, Joe W Gray) in collaboration with the Sorger Lab at the Harvard Medical School (Marc Hafner, Elizabeth H Williams, Mario Niepel, Peter K Sorger). The Haibe-Kains Lab has reprocessed and re-annotated the data to maximize overlap with other pharmacogenomic datasets. <strong>Data Usage Policy</strong> The data are provided under CC0 1.0 Universal (CC0 1.0) Public Domain Dedication license. Source: https://datadryad.org/stash/dataset/doi:10.5061/dryad.03n60 <strong>Please cite the following when using these data</strong> Hafner M, Heiser LM, Williams EH, Niepel M, Wang NJ, Korkola JE, Gray JW, Sorger PK. Quantification of sensitivity and resistance of breast cancer cell lines to anti-cancer drugs using GR metrics. Sci Data. 2017 Nov 7;4:170166. doi: 10.1038/sdata.2017.166. PMID: 29112189; PMCID: PMC5674849. Daemen A, Griffith OL, Heiser LM, Wang NJ, Enache OM, Sanborn Z, Pepin F, Durinck S, Korkola JE, Griffith M, Hur JS, Huh N, Chung J, Cope L, Fackler MJ, Umbricht C, Sukumar S, Seth P, Sukhatme VP, Jakkula LR, Lu Y, Mills GB, Cho RJ, Collisson EA, van't Veer LJ, Spellman PT, Gray JW. Modeling precision treatment of breast cancer. Genome Biol. 2013;14(10):R110. doi: 10.1186/gb-2013-14-10-r110. Erratum in: Genome Biol. 2015;16:95. PMID: 24176112; PMCID: PMC3937590.
DOI: 10.5281/zenodo.4557734
title: GRAY2017

description: GRAY2017 PharmacoSet (PSet) generated by ORCESTRA. Metadata can be found on ORCESTRA at: http://orcestra.ca/10.5281/zenodo.4557735 <strong>Disclaimer</strong> The GRAY data were generated and shared by the Gray Lab at the Oregon Health & Science University (Laura MHeiser, Nicholas J Wang,, James E Korkola, Joe W Gray) in collaboration with the Sorger Lab at the Harvard Medical School (Marc Hafner, Elizabeth H Williams, Mario Niepel, Peter K Sorger). The Haibe-Kains Lab has reprocessed and re-annotated the data to maximize overlap with other pharmacogenomic datasets. <strong>Data Usage Policy</strong> The data are provided under CC0 1.0 Universal (CC0 1.0) Public Domain Dedication license. Source: https://datadryad.org/stash/dataset/doi:10.5061/dryad.03n60 <strong>Please cite the following when using these data</strong> Hafner M, Heiser LM, Williams EH, Niepel M, Wang NJ, Korkola JE, Gray JW, Sorger PK. Quantification of sensitivity and resistance of breast cancer cell lines to anti-cancer drugs using GR metrics. Sci Data. 2017 Nov 7;4:170166. doi: 10.1038/sdata.2017.166. PMID: 29112189; PMCID: PMC5674849. Daemen A, Griffith OL, Heiser LM, Wang NJ, Enache OM, Sanborn Z, Pepin F, Durinck S, Korkola JE, Griffith M, Hur JS, Huh N, Chung J, Cope L, Fackler MJ, Umbricht C, Sukumar S, Seth P, Sukhatme VP, Jakkula LR, Lu Y, Mills GB, Cho RJ, Collisson EA, van't Veer LJ, Spellman PT, Gray JW. Modeling precision treatment of breast cancer. Genome Biol. 2013;14(10):R110. doi: 10.1186/gb-2013-14-10-r110. Erratum in: Genome Biol. 2015;16:95. PMID: 24176112; PMCID: PMC3937590.
DOI: 10.5281/zenodo.5008611
title: Montreal high-resolution climate data

description: This proof-of-concept study couples machine learning and physical modelling paradigms to develop a computationally efficient simulator-emulator framework for generating super-resolution (&lt; 250 m) urban climate information, that is required by many sectors. The temperature and dew point fields for 2019 and 2020 and the geophysical fields (geophys.rar) for the study domain, at 2.5 km (LR) and 250 m (HR) resolutions, which are used to train and validate the proposed super-resolution deep learning (DL) model/emulator are provided.
DOI: 10.5281/zenodo.5008610
title: Montreal high-resolution climate data

description: This proof-of-concept study couples machine learning and physical modelling paradigms to develop a computationally efficient simulator-emulator framework for generating super-resolution (&lt; 250 m) urban climate information, that is required by many sectors. The temperature and dew point fields for 2019 and 2020 and the geophysical fields (geophys.rar) for the study domain, at 2.5 km (LR) and 250 m (HR) resolutions, which are used to train and validate the proposed super-resolution deep learning (DL) model/emulator are provided.
DOI: 10.5281/zenodo.3905460
title: UHNBreast

description: UHNBreast PharmacoSet (PSet) generated by ORCESTRA. Metadata can be found on ORCESTRA at: http://orcestra.ca/10.5281/zenodo.3905460 <strong>Disclaimer</strong> The UHNBreast data were generated and shared by the Princess Margaret Cancer Centre, University Health Network. The Haibe-Kains Lab has reprocessed and re-annotated the data to maximize overlap with other pharmacogenomic datasets. <strong>Data Usage Policy</strong> The data are provided under Creative Commons BY 4.0 license. Please note: The data files are experimental and academic in nature and are not licensed or certified by any regulatory body. Genentech provided the original data files on an “as is” basis and excludes all warranties of any kind (express or implied). <strong>Please cite the following when using these data</strong> Mammoliti A, Smirnov P, Safikhani Z, Ba-Alawi W, Haibe-Kains B. Creating reproducible pharmacogenomic analysis pipelines. Sci Data. 2019 Sep 3;6(1):166. doi: 10.1038/s41597-019-0174-7. PMID: 31481707; PMCID: PMC6722117. Safikhani Z, Smirnov P, Thu KL, Silvester J, El-Hachem N, Quevedo R, Lupien M, Mak TW, Cescon D, Haibe-Kains B. Gene isoforms as expression-based biomarkers predictive of drug response in vitro. Nat Commun. 2017 Oct 24;8(1):1126. doi: 10.1038/s41467-017-01153-8. Marcotte R, Sayad A, Brown KR, Sanchez-Garcia F, Reimand J, Haider M, Virtanen C, Bradner JE, Bader GD, Mills GB, Pe'er D, Moffat J, Neel BG. Functional Genomic Landscape of Human Breast Cancer Drivers, Vulnerabilities, and Resistance. Cell. 2016 Jan 14;164(1-2):293-309. doi: 10.1016/j.cell.2015.11.062. PMID: 26771497; PMCID: PMC4724865.
DOI: 10.5281/zenodo.3905459
title: UHNBreast

description: UHNBreast PharmacoSet (PSet) generated by ORCESTRA. Metadata can be found on ORCESTRA at: http://orcestra.ca/10.5281/zenodo.3905460 <strong>Disclaimer</strong> The UHNBreast data were generated and shared by the Princess Margaret Cancer Centre, University Health Network. The Haibe-Kains Lab has reprocessed and re-annotated the data to maximize overlap with other pharmacogenomic datasets. <strong>Data Usage Policy</strong> The data are provided under Creative Commons BY 4.0 license. Please note: The data files are experimental and academic in nature and are not licensed or certified by any regulatory body. Genentech provided the original data files on an “as is” basis and excludes all warranties of any kind (express or implied). <strong>Please cite the following when using these data</strong> Mammoliti A, Smirnov P, Safikhani Z, Ba-Alawi W, Haibe-Kains B. Creating reproducible pharmacogenomic analysis pipelines. Sci Data. 2019 Sep 3;6(1):166. doi: 10.1038/s41597-019-0174-7. PMID: 31481707; PMCID: PMC6722117. Safikhani Z, Smirnov P, Thu KL, Silvester J, El-Hachem N, Quevedo R, Lupien M, Mak TW, Cescon D, Haibe-Kains B. Gene isoforms as expression-based biomarkers predictive of drug response in vitro. Nat Commun. 2017 Oct 24;8(1):1126. doi: 10.1038/s41467-017-01153-8. Marcotte R, Sayad A, Brown KR, Sanchez-Garcia F, Reimand J, Haider M, Virtanen C, Bradner JE, Bader GD, Mills GB, Pe'er D, Moffat J, Neel BG. Functional Genomic Landscape of Human Breast Cancer Drivers, Vulnerabilities, and Resistance. Cell. 2016 Jan 14;164(1-2):293-309. doi: 10.1016/j.cell.2015.11.062. PMID: 26771497; PMCID: PMC4724865.
DOI: 10.25612/837.a5ppqqpy6pm2
title: FEMA Public Assistance Funded Projects Details

description: List of FEMA obligated public assistance projects, public assistance recipients designated as applicants in the data, and funded, individual projects (project worksheets).
DOI: 10.1184/r1/14814813.v1
title: Paint Project

description: <b>tubeBackMass</b>: The background level information for each of the Tenax tubes after cleaning.<br><b>'X'_ptr</b>: (sometimes with _background) (where "X" represents the experiment name for one of 12 experiments). The PTR-MS measurements for each of the 12 paint experiments with the exact experiment specified as the "X" at the start of the name. These experiments took place over the course of the two-day drying period following paint application. If the name has background in it, then it is a blank background measurement with the PTR-MS prior to the start of that experiment.<br><br><b>headspace_'X'</b>: (sometimes with _background) (where "X" represents the experiment name for one of 12 experiments). The headspace PTR-MS measurements for each of the 12 paint experiments with the exact experiment specified as the "X" at the start of the name. These experiments were conducted by placing the inlet to the PTR-MS over the headspace of the paints for ~15 minutes. If the name has background in it, then it is a blank background measurement with the PTR-MS prior to the start of that experiment.<br><br><b>'X'dataStruct.mat</b>: (where "X" represents the experiment name for one of 13 experiments). These are the .mat files which can be uploaded into matlab. They all have the same structure but for different experiments as specified by their names.<br>
DOI: 10.25934/00002503.1
title: IPD datapackage for study 'A Phase 3, Randomized, Placebo-Controlled, Blinded, Multicenter Study of the Induction and Maintenance of Clinical Response and Remission by MLN0002 in Patients With Moderate to Severe Ulcerative Colitis' included in Research Request: 'Heterogeneity in relative treatment efficacy by age, sex, socioeconomic status and comorbidity (McAllister)'

description: Vivli is an independent, non-profit organization that has developed a global data-sharing and analytics platform to serve all elements of the international research community. Our mission is to promote, coordinate, and facilitate scientific sharing and reuse of clinical research data through the creation and implementation of a sustainable global data-sharing enterprise. The Vivli platform includes an independent data repository, in-depth search engine and a cloud-based, secure analytics platform.
DOI: 10.25934/00002436.1
title: IPD datapackage for study 'A Phase 3, Randomized, Multicenter, Allopurinol and Placebo-Controlled Study Assessing the Safety and Efficacy of Oral Febuxostat in Subjects With Gout.' included in Research Request: 'Heterogeneity in relative treatment efficacy by age, sex, socioeconomic status and comorbidity (McAllister)'

description: Vivli is an independent, non-profit organization that has developed a global data-sharing and analytics platform to serve all elements of the international research community. Our mission is to promote, coordinate, and facilitate scientific sharing and reuse of clinical research data through the creation and implementation of a sustainable global data-sharing enterprise. The Vivli platform includes an independent data repository, in-depth search engine and a cloud-based, secure analytics platform.
DOI: 10.25934/00002464.1
title: IPD datapackage for study 'A Phase 3, Randomized, Multicenter, Double-Blind, Allopurinol-Controlled Study Assessing the Efficacy and Safety of Oral Febuxostat in Subjects With Gout.' included in Research Request: 'Heterogeneity in relative treatment efficacy by age, sex, socioeconomic status and comorbidity (McAllister)'

description: Vivli is an independent, non-profit organization that has developed a global data-sharing and analytics platform to serve all elements of the international research community. Our mission is to promote, coordinate, and facilitate scientific sharing and reuse of clinical research data through the creation and implementation of a sustainable global data-sharing enterprise. The Vivli platform includes an independent data repository, in-depth search engine and a cloud-based, secure analytics platform.
DOI: 10.25934/00002516.1
title: IPD datapackage for study 'A Multicenter, Randomized, Double-Blind, Placebo-Controlled Study to Evaluate Cardiovascular Outcomes Following Treatment With Alogliptin in Addition to Standard of Care in Subjects With Type 2 Diabetes and Acute Coronary Syndrome' included in Research Request: 'Heterogeneity in relative treatment efficacy by age, sex, socioeconomic status and comorbidity (McAllister)'

description: Vivli is an independent, non-profit organization that has developed a global data-sharing and analytics platform to serve all elements of the international research community. Our mission is to promote, coordinate, and facilitate scientific sharing and reuse of clinical research data through the creation and implementation of a sustainable global data-sharing enterprise. The Vivli platform includes an independent data repository, in-depth search engine and a cloud-based, secure analytics platform.
DOI: 10.25934/00002458.1
title: IPD datapackage for study 'A Phase 3 Study to Evaluate the Efficacy and Safety of Dexlansoprazole MR (30 mg QD and 60 mg QD) Compared to Placebo on Symptom Relief in Subjects With Symptomatic Nonerosive Gastroesophageal Reflux Disease (GERD)' included in Research Request: 'Heterogeneity in relative treatment efficacy by age, sex, socioeconomic status and comorbidity (McAllister)'

description: Vivli is an independent, non-profit organization that has developed a global data-sharing and analytics platform to serve all elements of the international research community. Our mission is to promote, coordinate, and facilitate scientific sharing and reuse of clinical research data through the creation and implementation of a sustainable global data-sharing enterprise. The Vivli platform includes an independent data repository, in-depth search engine and a cloud-based, secure analytics platform.
DOI: 10.25934/00003541.1
title: IPD datapackage for study 'Randomised, Double-blind, Placebo-controlled, Parallel Group Study to Assess the Efficacy and Safety of 48 Weeks of Once Daily Treatment of Orally Inhaled BI 1744 CL (5 mcg [2 Actuations of 2.5 mcg] and 10 mcg [2 Actuations of 5 mcg]) Delivered by the Respimat® Inhaler, in Patients With Chronic Obstructive Pulmonary Disease (COPD)' included in Research Request: 'Heterogeneity in relative treatment efficacy by age, sex, socioeconomic status and comorbidity (McAllister)'

description: Vivli is an independent, non-profit organization that has developed a global data-sharing and analytics platform to serve all elements of the international research community. Our mission is to promote, coordinate, and facilitate scientific sharing and reuse of clinical research data through the creation and implementation of a sustainable global data-sharing enterprise. The Vivli platform includes an independent data repository, in-depth search engine and a cloud-based, secure analytics platform.
DOI: 10.25934/00003636.1
title: IPD datapackage for study 'A 52 Weeks, Double Blind, Randomized, Placebo-controlled Trial Evaluating the Effect of Oral BIBF 1120, 150 mg Twice Daily, on Annual Forced Vital Capacity Decline, in Patients With Idiopathic Pulmonary Fibrosis (IPF)' included in Research Request: 'Heterogeneity in relative treatment efficacy by age, sex, socioeconomic status and comorbidity (McAllister)'

description: Vivli is an independent, non-profit organization that has developed a global data-sharing and analytics platform to serve all elements of the international research community. Our mission is to promote, coordinate, and facilitate scientific sharing and reuse of clinical research data through the creation and implementation of a sustainable global data-sharing enterprise. The Vivli platform includes an independent data repository, in-depth search engine and a cloud-based, secure analytics platform.
DOI: 10.25934/00003637.1
title: IPD datapackage for study 'A 52 Weeks, Double Blind, Randomized, Placebo-controlled Trial Evaluating the Effect of Oral BIBF 1120, 150 mg Twice Daily, on Annual Forced Vital Capacity Decline, in Patients With Idiopathic Pulmonary Fibrosis (IPF)' included in Research Request: 'Heterogeneity in relative treatment efficacy by age, sex, socioeconomic status and comorbidity (McAllister)'

description: Vivli is an independent, non-profit organization that has developed a global data-sharing and analytics platform to serve all elements of the international research community. Our mission is to promote, coordinate, and facilitate scientific sharing and reuse of clinical research data through the creation and implementation of a sustainable global data-sharing enterprise. The Vivli platform includes an independent data repository, in-depth search engine and a cloud-based, secure analytics platform.