cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.5787084
title: GDSC1

description: GDSC1 PharmacoSet (PSet) generated by ORCESTRA. Metadata can be found on ORCESTRA at: https://www.orcestra.ca/pset/10.5281/zenodo.5787084 <strong>Disclaimer</strong> The GDSC1 data have been generated and shared by the Wellcome Trust Sanger Institute as part of the Genomics of Drug Sensitivity in Cancer (GDSC) Programme. The Haibe-Kains Lab has reprocessed and re-annotated the data to maximize overlap with other pharmacogenomic datasets. <strong>Data Usage Policy</strong> Users have a non-exclusive, non-transferable right to use data files for internal proprietary research and educational purposes, including target, biomarker and drug discovery. Excluded from this licence are use of the data (in whole or any significant part) for resale either alone or in combination with additional data/product offerings, or for provision of commercial services. Please note: The data files are experimental and academic in nature and are not licensed or certified by any regulatory body. Genome Research Limited provides access to data files on an “as is” basis and excludes all warranties of any kind (express or implied). If you are interested in incorporating results or software into a product, or have questions, please contact depmap@sanger.ac.uk. Source: https://depmap.sanger.ac.uk/documentation/data-usage-policy/ Sanger's terms and conditions: http://www.cancerrxgene.org/legal <strong>Please cite the following when using these data</strong> Iorio F, Knijnenburg TA, Vis DJ, Bignell GR, Menden MP, Schubert M, Aben N, Gonçalves E, Barthorpe S, Lightfoot H, Cokelaer T, Greninger P, van Dyk E, Chang H, de Silva H, Heyn H, Deng X, Egan RK, Liu Q, Mironenko T, Mitropoulos X, Richardson L, Wang J, Zhang T, Moran S, Sayols S, Soleimani M, Tamborero D, Lopez-Bigas N, Ross-Macdonald P, Esteller M, Gray NS, Haber DA, Stratton MR, Benes CH, Wessels LFA, Saez-Rodriguez J, McDermott U, Garnett MJ. A Landscape of Pharmacogenomic Interactions in Cancer. Cell. 2016 Jul 28;166(3):740-754. doi: 10.1016/j.cell.2016.06.017. Epub 2016 Jul 7. PMID: 27397505; PMCID: PMC4967469. Yang W, Soares J, Greninger P, Edelman EJ, Lightfoot H, Forbes S, Bindal N, Beare D, Smith JA, Thompson IR, Ramaswamy S, Futreal PA, Haber DA, Stratton MR, Benes C, McDermott U, Garnett MJ. Genomics of Drug Sensitivity in Cancer (GDSC): a resource for therapeutic biomarker discovery in cancer cells. Nucleic Acids Res. 2013 Jan;41(Database issue):D955-61. doi: 10.1093/nar/gks1111. Epub 2012 Nov 23. PMID: 23180760; PMCID: PMC3531057. Picco G, Chen ED, Alonso LG, Behan FM, Gonçalves E, Bignell G, Matchan A, Fu B, Banerjee R, Anderson E, Butler A, Benes CH, McDermott U, Dow D, Iorio F, Stronach E, Yang F, Yusa K, Saez-Rodriguez J, Garnett MJ. Functional linkage of gene fusions to cancer cell fitness assessed by pharmacological and CRISPR-Cas9 screening. Nat Commun. 2019 May 16;10(1):2198. doi: 10.1038/s41467-019-09940-1. PMID: 31097696; PMCID: PMC6522557.
DOI: 10.5281/zenodo.5787083
title: GDSC1

description: GDSC1 PharmacoSet (PSet) generated by ORCESTRA. Metadata can be found on ORCESTRA at: https://www.orcestra.ca/pset/10.5281/zenodo.5787084 <strong>Disclaimer</strong> The GDSC1 data have been generated and shared by the Wellcome Trust Sanger Institute as part of the Genomics of Drug Sensitivity in Cancer (GDSC) Programme. The Haibe-Kains Lab has reprocessed and re-annotated the data to maximize overlap with other pharmacogenomic datasets. <strong>Data Usage Policy</strong> Users have a non-exclusive, non-transferable right to use data files for internal proprietary research and educational purposes, including target, biomarker and drug discovery. Excluded from this licence are use of the data (in whole or any significant part) for resale either alone or in combination with additional data/product offerings, or for provision of commercial services. Please note: The data files are experimental and academic in nature and are not licensed or certified by any regulatory body. Genome Research Limited provides access to data files on an “as is” basis and excludes all warranties of any kind (express or implied). If you are interested in incorporating results or software into a product, or have questions, please contact depmap@sanger.ac.uk. Source: https://depmap.sanger.ac.uk/documentation/data-usage-policy/ Sanger's terms and conditions: http://www.cancerrxgene.org/legal <strong>Please cite the following when using these data</strong> Iorio F, Knijnenburg TA, Vis DJ, Bignell GR, Menden MP, Schubert M, Aben N, Gonçalves E, Barthorpe S, Lightfoot H, Cokelaer T, Greninger P, van Dyk E, Chang H, de Silva H, Heyn H, Deng X, Egan RK, Liu Q, Mironenko T, Mitropoulos X, Richardson L, Wang J, Zhang T, Moran S, Sayols S, Soleimani M, Tamborero D, Lopez-Bigas N, Ross-Macdonald P, Esteller M, Gray NS, Haber DA, Stratton MR, Benes CH, Wessels LFA, Saez-Rodriguez J, McDermott U, Garnett MJ. A Landscape of Pharmacogenomic Interactions in Cancer. Cell. 2016 Jul 28;166(3):740-754. doi: 10.1016/j.cell.2016.06.017. Epub 2016 Jul 7. PMID: 27397505; PMCID: PMC4967469. Yang W, Soares J, Greninger P, Edelman EJ, Lightfoot H, Forbes S, Bindal N, Beare D, Smith JA, Thompson IR, Ramaswamy S, Futreal PA, Haber DA, Stratton MR, Benes C, McDermott U, Garnett MJ. Genomics of Drug Sensitivity in Cancer (GDSC): a resource for therapeutic biomarker discovery in cancer cells. Nucleic Acids Res. 2013 Jan;41(Database issue):D955-61. doi: 10.1093/nar/gks1111. Epub 2012 Nov 23. PMID: 23180760; PMCID: PMC3531057. Picco G, Chen ED, Alonso LG, Behan FM, Gonçalves E, Bignell G, Matchan A, Fu B, Banerjee R, Anderson E, Butler A, Benes CH, McDermott U, Dow D, Iorio F, Stronach E, Yang F, Yusa K, Saez-Rodriguez J, Garnett MJ. Functional linkage of gene fusions to cancer cell fitness assessed by pharmacological and CRISPR-Cas9 screening. Nat Commun. 2019 May 16;10(1):2198. doi: 10.1038/s41467-019-09940-1. PMID: 31097696; PMCID: PMC6522557.
DOI: 10.5281/zenodo.5787080
title: Cyclargus thomasi decontaminated FSCR

description: .
DOI: 10.5281/zenodo.5787079
title: Cyclargus thomasi decontaminated FSCR

description: .
DOI: 10.5281/zenodo.5787088
title: Cyphomyrus wilverthi decontaminated FSCR

description: .
DOI: 10.5281/zenodo.5787087
title: Cyphomyrus wilverthi decontaminated FSCR

description: .
DOI: 10.6084/m9.figshare.17229905
title: Temperature Data

description: Temperature records on experimental and control plots.
DOI: 10.6084/m9.figshare.17229905.v1
title: Temperature Data

description: Temperature records on experimental and control plots.
DOI: 10.5519/qd.sdiu3syl
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (24 records)
DOI: 10.6084/m9.figshare.17230490
title: Temperature data

description: Temperature records of experimental and control plots.
DOI: 10.5281/zenodo.5787076
title: SAT data

description: UEA Climatic Research Unit (CRU) Gridded Datasets production project
DOI: 10.5281/zenodo.5787075
title: SAT data

description: UEA Climatic Research Unit (CRU) Gridded Datasets production project
DOI: 10.5281/zenodo.5787151
title: Deinopsis erosa decontaminated FSCR

description: .
DOI: 10.5281/zenodo.5787150
title: Deinopsis erosa decontaminated FSCR

description: .
DOI: 10.5281/zenodo.5787145
title: GDSC2

description: GDSC2 PharmacoSet (PSet) generated by ORCESTRA. Metadata can be found on ORCESTRA at: http://orcestra.ca/pset/10.5281/zenodo.5787145 <strong>Disclaimer</strong> The GDSC2 data have been generated and shared by the Wellcome Trust Sanger Institute as part of the Genomics of Drug Sensitivity in Cancer (GDSC) Programme. The Haibe-Kains Lab has reprocessed and re-annotated the data to maximize overlap with other pharmacogenomic datasets. <strong>Data Usage Policy</strong> Users have a non-exclusive, non-transferable right to use data files for internal proprietary research and educational purposes, including target, biomarker and drug discovery. Excluded from this licence are use of the data (in whole or any significant part) for resale either alone or in combination with additional data/product offerings, or for provision of commercial services. Please note: The data files are experimental and academic in nature and are not licensed or certified by any regulatory body. Genome Research Limited provides access to data files on an “as is” basis and excludes all warranties of any kind (express or implied). If you are interested in incorporating results or software into a product, or have questions, please contact depmap@sanger.ac.uk. Source: https://depmap.sanger.ac.uk/documentation/data-usage-policy/ Sanger's terms and conditions: http://www.cancerrxgene.org/legal <strong>Please cite the following when using these data</strong> Iorio F, Knijnenburg TA, Vis DJ, Bignell GR, Menden MP, Schubert M, Aben N, Gonçalves E, Barthorpe S, Lightfoot H, Cokelaer T, Greninger P, van Dyk E, Chang H, de Silva H, Heyn H, Deng X, Egan RK, Liu Q, Mironenko T, Mitropoulos X, Richardson L, Wang J, Zhang T, Moran S, Sayols S, Soleimani M, Tamborero D, Lopez-Bigas N, Ross-Macdonald P, Esteller M, Gray NS, Haber DA, Stratton MR, Benes CH, Wessels LFA, Saez-Rodriguez J, McDermott U, Garnett MJ. A Landscape of Pharmacogenomic Interactions in Cancer. Cell. 2016 Jul 28;166(3):740-754. doi: 10.1016/j.cell.2016.06.017. Epub 2016 Jul 7. PMID: 27397505; PMCID: PMC4967469. Yang W, Soares J, Greninger P, Edelman EJ, Lightfoot H, Forbes S, Bindal N, Beare D, Smith JA, Thompson IR, Ramaswamy S, Futreal PA, Haber DA, Stratton MR, Benes C, McDermott U, Garnett MJ. Genomics of Drug Sensitivity in Cancer (GDSC): a resource for therapeutic biomarker discovery in cancer cells. Nucleic Acids Res. 2013 Jan;41(Database issue):D955-61. doi: 10.1093/nar/gks1111. Epub 2012 Nov 23. PMID: 23180760; PMCID: PMC3531057. Picco G, Chen ED, Alonso LG, Behan FM, Gonçalves E, Bignell G, Matchan A, Fu B, Banerjee R, Anderson E, Butler A, Benes CH, McDermott U, Dow D, Iorio F, Stronach E, Yang F, Yusa K, Saez-Rodriguez J, Garnett MJ. Functional linkage of gene fusions to cancer cell fitness assessed by pharmacological and CRISPR-Cas9 screening. Nat Commun. 2019 May 16;10(1):2198. doi: 10.1038/s41467-019-09940-1. PMID: 31097696; PMCID: PMC6522557.
DOI: 10.5281/zenodo.5787144
title: GDSC2

description: GDSC2 PharmacoSet (PSet) generated by ORCESTRA. Metadata can be found on ORCESTRA at: http://orcestra.ca/pset/10.5281/zenodo.5787145 <strong>Disclaimer</strong> The GDSC2 data have been generated and shared by the Wellcome Trust Sanger Institute as part of the Genomics of Drug Sensitivity in Cancer (GDSC) Programme. The Haibe-Kains Lab has reprocessed and re-annotated the data to maximize overlap with other pharmacogenomic datasets. <strong>Data Usage Policy</strong> Users have a non-exclusive, non-transferable right to use data files for internal proprietary research and educational purposes, including target, biomarker and drug discovery. Excluded from this licence are use of the data (in whole or any significant part) for resale either alone or in combination with additional data/product offerings, or for provision of commercial services. Please note: The data files are experimental and academic in nature and are not licensed or certified by any regulatory body. Genome Research Limited provides access to data files on an “as is” basis and excludes all warranties of any kind (express or implied). If you are interested in incorporating results or software into a product, or have questions, please contact depmap@sanger.ac.uk. Source: https://depmap.sanger.ac.uk/documentation/data-usage-policy/ Sanger's terms and conditions: http://www.cancerrxgene.org/legal <strong>Please cite the following when using these data</strong> Iorio F, Knijnenburg TA, Vis DJ, Bignell GR, Menden MP, Schubert M, Aben N, Gonçalves E, Barthorpe S, Lightfoot H, Cokelaer T, Greninger P, van Dyk E, Chang H, de Silva H, Heyn H, Deng X, Egan RK, Liu Q, Mironenko T, Mitropoulos X, Richardson L, Wang J, Zhang T, Moran S, Sayols S, Soleimani M, Tamborero D, Lopez-Bigas N, Ross-Macdonald P, Esteller M, Gray NS, Haber DA, Stratton MR, Benes CH, Wessels LFA, Saez-Rodriguez J, McDermott U, Garnett MJ. A Landscape of Pharmacogenomic Interactions in Cancer. Cell. 2016 Jul 28;166(3):740-754. doi: 10.1016/j.cell.2016.06.017. Epub 2016 Jul 7. PMID: 27397505; PMCID: PMC4967469. Yang W, Soares J, Greninger P, Edelman EJ, Lightfoot H, Forbes S, Bindal N, Beare D, Smith JA, Thompson IR, Ramaswamy S, Futreal PA, Haber DA, Stratton MR, Benes C, McDermott U, Garnett MJ. Genomics of Drug Sensitivity in Cancer (GDSC): a resource for therapeutic biomarker discovery in cancer cells. Nucleic Acids Res. 2013 Jan;41(Database issue):D955-61. doi: 10.1093/nar/gks1111. Epub 2012 Nov 23. PMID: 23180760; PMCID: PMC3531057. Picco G, Chen ED, Alonso LG, Behan FM, Gonçalves E, Bignell G, Matchan A, Fu B, Banerjee R, Anderson E, Butler A, Benes CH, McDermott U, Dow D, Iorio F, Stronach E, Yang F, Yusa K, Saez-Rodriguez J, Garnett MJ. Functional linkage of gene fusions to cancer cell fitness assessed by pharmacological and CRISPR-Cas9 screening. Nat Commun. 2019 May 16;10(1):2198. doi: 10.1038/s41467-019-09940-1. PMID: 31097696; PMCID: PMC6522557.
DOI: 10.25345/c55p2q
title: MassIVE MSV000088574 - Melanopsin (OPN4) is a novel oncogene in cutaneous melanoma: evidence from an experimental study
title: The goal of this study was to evaluate the role of OPN4 in melanoma development using in vitro, in vivo, and proteomics approaches.
DOI: 10.17903/fk2/m1ybxe
title: YouWho?

description: Τα δεδομένα προέρχονται από τη διαδικτυακή έρευνα YouWho? που υλοποιήθηκε κατά την περίοδο 17 Φεβρουαρίου – 5 Απριλίου 2020. Πληθυσμός στόχος ήταν όσοι/-ες γεννήθηκαν μεταξύ των ετών 1991-2003 και συνεπώς βρίσκονταν στο ηλικιακό εύρος των 17-29 ετών κατά την περίοδο συλλογής των δεδομένων. Συνολικά συλλέχθηκαν 24.525 συμπληρωμένα ερωτηματολόγια. Το τελικό δείγμα διαμορφώθηκε στα 23.402 άτομα. Bασικός στόχος της έρευνας είναι να μελετήσει διεπιστημονικά και με καινοτόμες μεθοδολογικές προσεγγίσεις την ταυτότητα των νέων στην Ελλάδα του 21ου αιώνα εστιάζοντας στη σχέση τους με την πολιτική, τον τρόπο πρόσληψης του έθνους, τις καθημερινές τους συνήθειες (lifestyle), τις πολιτισμικές τους πρακτικές, αλλά και την προσωπικότητά τους.
DOI: 10.25773/ekzs-7k33
title:  Ware River intensive watershed study Data Files: Part 1. Nonpoint source contributions
DOI: 10.5281/zenodo.5787209
title: Diadocidia ferruginosa decontaminated FSCR

description: .
DOI: 10.5281/zenodo.5787208
title: Diadocidia ferruginosa decontaminated FSCR

description: .
DOI: 10.17903/fk2/bvfeyx
title: YouWho?

description: These data come from the web-based survey YouWho? that took place between 17 February – 5 Aril 2020. The survey was open to all people born between 1991-2003 and therefore within the 17-29 age range during data collection. In total, 24.525 full questionnaires were submitted.The final sample consists of 23.402 completed questionnaires. The main goal of the research is to study the identity of young people in 21st century Greece interdisciplinary and with innovative methodological approaches, focusing on their relationship with politics, the way they perceive theirnation, their daily habits (lifestyle), their cultural practices, and their personality.
DOI: 10.25773/cwzj-2v91
title: Ware River Intensive Watershed Study Data Files - Part 2. Estuarine Receiving Water Quality
DOI: 10.5281/zenodo.5787115
title: Characterization of Site-Specific Vegetation Activity in Alaskan Wet and Dry Tundra as Related to Climate and Soil State DATA

description: We present discrete (2-hour resolution) multi-year (2008 – 2017) <em>in situ </em>measurements of seasonal vegetation growth and soil biophysical properties from two sites on Alaska’s North Slope, USA, representing dry and wet sedge tundra. We examine measurements of vertical active soil layer temperature and soil moisture profiles (freeze/thaw status), woody shrub vegetation physiological activity, and meteorological site data to assess interrelationships within (and between) these two study sites. Vegetation phenophases (cold de-hardening start, physiological function start, stem growth start, stem growth end, physiological function end, cold hardening completion) were found to have greater inter-annual Day-Of-Year (DOY) occurrence variability at the dry site compared to the wet site. At the dry site, vegetation activity begins on average ~ 7 days earlier and ends ~ 11 days earlier. The mean active stem growth window lasts ~ 54 days for the dry site and ~51 days for the wet site. Vegetation, in both tundra environments, began cold de-hardening functions (warm season prep) prior to atmospheric temperatures warming above 0°C. Similar results were found related to the critical soil freeze/thaw/transition dates; the dry site had a DOY phenophase occurrence range that was 8 days larger than that of the wet site. A longer continuous summer thaw period was captured at the wet site by ~ 26 days throughout the active layer. In addition, the dry site was measured to have longer spring and fall soil isothermal conditions than the wet site by ~ 9 and 5 days throughout the active layer. These results show that the dry site’s willow shrub vegetation physiology and soil condition phenology is more variable than the wet site. Alongside the <em>in situ</em> data, a remote sensing product from NASA’s MEaSUREs program was utilized; our research indicates that the AMSR derived satellite product is more precise over the wet tundra site with critical date alignment between remote sensing observations and <em>in situ</em> measurements ranging from ~ 4 to 11 days. Furthermore, the AMSR product was shown to preemptively estimate land surface condition change during the spring transition for both tundra types while lagging during the fall transition and freeze-up periods.
DOI: 10.5281/zenodo.5787114
title: Characterization of Site-Specific Vegetation Activity in Alaskan Wet and Dry Tundra as Related to Climate and Soil State DATA

description: We present discrete (2-hour resolution) multi-year (2008 – 2017) <em>in situ </em>measurements of seasonal vegetation growth and soil biophysical properties from two sites on Alaska’s North Slope, USA, representing dry and wet sedge tundra. We examine measurements of vertical active soil layer temperature and soil moisture profiles (freeze/thaw status), woody shrub vegetation physiological activity, and meteorological site data to assess interrelationships within (and between) these two study sites. Vegetation phenophases (cold de-hardening start, physiological function start, stem growth start, stem growth end, physiological function end, cold hardening completion) were found to have greater inter-annual Day-Of-Year (DOY) occurrence variability at the dry site compared to the wet site. At the dry site, vegetation activity begins on average ~ 7 days earlier and ends ~ 11 days earlier. The mean active stem growth window lasts ~ 54 days for the dry site and ~51 days for the wet site. Vegetation, in both tundra environments, began cold de-hardening functions (warm season prep) prior to atmospheric temperatures warming above 0°C. Similar results were found related to the critical soil freeze/thaw/transition dates; the dry site had a DOY phenophase occurrence range that was 8 days larger than that of the wet site. A longer continuous summer thaw period was captured at the wet site by ~ 26 days throughout the active layer. In addition, the dry site was measured to have longer spring and fall soil isothermal conditions than the wet site by ~ 9 and 5 days throughout the active layer. These results show that the dry site’s willow shrub vegetation physiology and soil condition phenology is more variable than the wet site. Alongside the <em>in situ</em> data, a remote sensing product from NASA’s MEaSUREs program was utilized; our research indicates that the AMSR derived satellite product is more precise over the wet tundra site with critical date alignment between remote sensing observations and <em>in situ</em> measurements ranging from ~ 4 to 11 days. Furthermore, the AMSR product was shown to preemptively estimate land surface condition change during the spring transition for both tundra types while lagging during the fall transition and freeze-up periods.
DOI: 10.5517/ccdc.csd.cc28br7m
title: CCDC 2095700: Experimental Crystal Structure Determination

description: Related Article: Ziang Chen, Chang-Qiang Ke, Shuaizhen Zhou, Lu Feng, Chunping Tang, Yang Ye|2021|Fitoterapia|156|105091|doi:10.1016/j.fitote.2021.105091
DOI: 10.5517/ccdc.csd.cc28br8n
title: CCDC 2095701: Experimental Crystal Structure Determination

description: Related Article: Ziang Chen, Chang-Qiang Ke, Shuaizhen Zhou, Lu Feng, Chunping Tang, Yang Ye|2021|Fitoterapia|156|105091|doi:10.1016/j.fitote.2021.105091
DOI: 10.5517/ccdc.csd.cc28br9p
title: CCDC 2095702: Experimental Crystal Structure Determination

description: Related Article: Ziang Chen, Chang-Qiang Ke, Shuaizhen Zhou, Lu Feng, Chunping Tang, Yang Ye|2021|Fitoterapia|156|105091|doi:10.1016/j.fitote.2021.105091
DOI: 10.5517/ccdc.csd.cc28brbq
title: CCDC 2095703: Experimental Crystal Structure Determination

description: Related Article: Ziang Chen, Chang-Qiang Ke, Shuaizhen Zhou, Lu Feng, Chunping Tang, Yang Ye|2021|Fitoterapia|156|105091|doi:10.1016/j.fitote.2021.105091
DOI: 10.5517/ccdc.csd.cc28brcr
title: CCDC 2095704: Experimental Crystal Structure Determination

description: Related Article: Ziang Chen, Chang-Qiang Ke, Shuaizhen Zhou, Lu Feng, Chunping Tang, Yang Ye|2021|Fitoterapia|156|105091|doi:10.1016/j.fitote.2021.105091
DOI: 10.5519/qd.2k3hjbmg
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (139 records)
DOI: 10.5281/zenodo.5787155
title: RAW data for Correlation analysis of vibration modes in physical vapour deposited Bi2Se3 thin films probed by the Raman mapping technique

description: Raw data for the "Correlation analysis of vibration modes in physical vapour deposited Bi2Se3 thin films probed by the Raman mapping technique" paper.
DOI: 10.5281/zenodo.5787154
title: RAW data for Correlation analysis of vibration modes in physical vapour deposited Bi2Se3 thin films probed by the Raman mapping technique

description: Raw data for the "Correlation analysis of vibration modes in physical vapour deposited Bi2Se3 thin films probed by the Raman mapping technique" paper.
DOI: 10.5281/zenodo.5750726
title: solar_potential_NYS_2011

description: This data shows hourly solar potential in NYS up-state in 2011, which is from grid-scale solar PV sites in NREL model solar dataset, aggregated by region in NYS. <strong> Data is provided by Quadracci Sustainable Engineering Lab in Columbia University.</strong>
description: {"references": ["Hummon M, Ibanez E, Brinkman G, Lew D. Sub-Hour Solar Data for Power System Modeling From Static Spatial Variability Analysis. 2nd Int. Work. Integr. Sol. Power Power Syst., 2012", "Blair N, Dobos AP, Freeman J, Neises T, Wagner M, Ferguson T, et al. System Advisor Model, 2014.1.14: General Description. NREL Rep No TP-6A20-61019, Natl Renew Energy Lab Golden, CO 2014"]}
DOI: 10.5281/zenodo.5750725
title: solar_potential_NYS_2011

description: This data shows hourly solar potential in NYS up-state in 2011, which is from grid-scale solar PV sites in NREL model solar dataset, aggregated by region in NYS. <strong> Data is provided by Quadracci Sustainable Engineering Lab in Columbia University.</strong>
description: {"references": ["Hummon M, Ibanez E, Brinkman G, Lew D. Sub-Hour Solar Data for Power System Modeling From Static Spatial Variability Analysis. 2nd Int. Work. Integr. Sol. Power Power Syst., 2012", "Blair N, Dobos AP, Freeman J, Neises T, Wagner M, Ferguson T, et al. System Advisor Model, 2014.1.14: General Description. NREL Rep No TP-6A20-61019, Natl Renew Energy Lab Golden, CO 2014"]}