cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc25r6x2
title: CCDC 2018314: Experimental Crystal Structure Determination

description: Related Article: Ophélie M. Planes, Suzanne M. Jansze, Rosario Scopelliti, Farzaneh Fadaei-Tirani, Kay Severin|2020|Inorg.Chem.|59|14544|doi:10.1021/acs.inorgchem.0c02358
DOI: 10.5517/ccdc.csd.cc25r77f
title: CCDC 2018324: Experimental Crystal Structure Determination

description: Related Article: Ophélie M. Planes, Suzanne M. Jansze, Rosario Scopelliti, Farzaneh Fadaei-Tirani, Kay Severin|2020|Inorg.Chem.|59|14544|doi:10.1021/acs.inorgchem.0c02358
DOI: 10.5517/ccdc.csd.cc25r78g
title: CCDC 2018325: Experimental Crystal Structure Determination

description: Related Article: Ophélie M. Planes, Suzanne M. Jansze, Rosario Scopelliti, Farzaneh Fadaei-Tirani, Kay Severin|2020|Inorg.Chem.|59|14544|doi:10.1021/acs.inorgchem.0c02358
DOI: 10.5517/ccdc.csd.cc25rjj0
title: CCDC 2018612: Experimental Crystal Structure Determination

description: Related Article: Dawei Li|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc25rltc
title: CCDC 2018683: Experimental Crystal Structure Determination

description: Related Article: Conor Pranckevicius, Marco Weber, Ivo Krummenacher, Ashwini K. Phukan, Holger Braunschweig|2020|Chemical Science|11|11055|doi:10.1039/D0SC04826G
DOI: 10.5517/ccdc.csd.cc25rlvd
title: CCDC 2018684: Experimental Crystal Structure Determination

description: Related Article: Conor Pranckevicius, Marco Weber, Ivo Krummenacher, Ashwini K. Phukan, Holger Braunschweig|2020|Chemical Science|11|11055|doi:10.1039/D0SC04826G
DOI: 10.5517/ccdc.csd.cc25rlwf
title: CCDC 2018685: Experimental Crystal Structure Determination

description: Related Article: Conor Pranckevicius, Marco Weber, Ivo Krummenacher, Ashwini K. Phukan, Holger Braunschweig|2020|Chemical Science|11|11055|doi:10.1039/D0SC04826G
DOI: 10.5517/ccdc.csd.cc25rlyh
title: CCDC 2018687: Experimental Crystal Structure Determination

description: Related Article: Conor Pranckevicius, Marco Weber, Ivo Krummenacher, Ashwini K. Phukan, Holger Braunschweig|2020|Chemical Science|11|11055|doi:10.1039/D0SC04826G
DOI: 10.5517/ccdc.csd.cc25rlzj
title: CCDC 2018688: Experimental Crystal Structure Determination

description: Related Article: Conor Pranckevicius, Marco Weber, Ivo Krummenacher, Ashwini K. Phukan, Holger Braunschweig|2020|Chemical Science|11|11055|doi:10.1039/D0SC04826G
DOI: 10.5517/ccdc.csd.cc25rm5r
title: CCDC 2018694: Experimental Crystal Structure Determination

description: Related Article: Charles P. Casey, Ilia A. Guzei|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc25rq6w
title: CCDC 2018788: Experimental Crystal Structure Determination

description: Related Article: Jan Stephan Wössner|2020|CSD Communication|||
DOI: 10.21227/06yp-9d53
title: sEMG of Larynx Functions

description: This dataset is associated with a submission to IEEE Transactions on Biomedical Engineering titled: "Prediction of larynx function using multichannel surface EMG classification" by the associated authors. The dataset consists of surface electromyography (sEMG) signals recorded from 10 study participants (5 control, 5 laryngectomees), each undertaking 3 recording sessions.During each session the following were recorded: 15 recordings of swallowing: 5 dry; 5 water; 5 solid (e.g. banana or biscuit). 3 recordings of coughing, with each recording containing 5 coughs. 3 recordings of speech, in which the participant read aloud 10 sentences from the Harvard sentences (IEEE, "IEEE Recommended Practice for Speech Quality Measurements, " IEEE Trans. Audio Electroacoust., vol. 17, no. 3, pp. 225-246, 1969). 6 recordings of movements typical of daily life (standing, sitting, reaching, twisting and walking).Additionally, high speed video was recorded during swallowing, pneumotachometry during coughing and sound during speech.
DOI: 10.6073/pasta/7f12ba79dbd1127d8689841a8f9b9d42
title: Maximum temperature at El Verde Field Station, Rio Grande, Puerto Rico since October 1992

description: Daily emperature has been measured at the El Verde Field Station since 1975 (see methods). These data was divided into two data set: #16, having data from 1992 to current and #181 which has data from1975 till August 1992. Data-missing gaps where filled in by extrapolated data from other sources, making the subsequent manipulations less valuable for interpreting long term trends. Monthly averages have been calculated. Maximum values for maximum temperature were recorded from May to October with a range from 29 to 30 and peaks of 29.7 Centigrade in October. The months of October through December show the most dramatic increase, specially December (see chart). Highest average maximum temperatures during these years were recorded in 1998 and 1999 (See chart). Max monthly temperatures appear to be increasing from this years on.
DOI: 10.6073/pasta/e41ca2f57c4e4a0a1efcd241f12dd7ec
title: Minimum temperature at El Verde Field Station, Rio Grande, Puerto Rico since 1975

description: Daily emperature has been measured at the El Verde Field Station since 1975 (see methods). Monthly averages have been calculated. Lowest average values for minimum temperature were recorded from January to April with nearly 18 Centigrades during this period of time (see chart). During these months, the lowest average minimum temperature was recorded in 1976 ranging from 20 to 22 Centigrades (see chart). Highest minimum montly average records are shown from June to October with peak in the vecinity of 20 Centigrades. The year with lowest minimum tempearture was 1995 and 2000 with the low values near 14 and 15 Centigrades, respectively.
DOI: 10.13140/rg.2.2.12186.67528
title: Habitats in transect 20200630_031_TZ
DOI: 10.13140/rg.2.2.25608.44809
title: Habitats in transect 20200630_031_TZ
DOI: 10.6084/m9.figshare.13194701.v1
title: SeaLionData

description: Sea lion data for shiny app workshop
DOI: 10.6084/m9.figshare.13194701
title: SeaLionData

description: Sea lion data for shiny app workshop
DOI: 10.6084/m9.figshare.13194677
title: Coprates Chasma Dunes CTX DEM

description: CTX DEM of Coprates Chasma dune field, Mars.
DOI: 10.6084/m9.figshare.13194677.v1
title: Coprates Chasma Dunes CTX DEM

description: CTX DEM of Coprates Chasma dune field, Mars.
DOI: 10.6084/m9.figshare.13194707
title: CTX DEM index

description: Index of CTX images used to generate DEM of martian dunes in Coprates Chasma.
DOI: 10.6084/m9.figshare.13194710
title: Coprates Chasma Dune Shapefiles

description: ArcGIS shapefiles of select dunes in Coprates Chasma, Mars.
DOI: 10.24378/exe.2543
title: A new signature for strong light-matter coupling using spectroscopic ellipsometry (dataset)

description: Light-matter interactions can occur when an ensemble of molecular resonators is placed in a confined electromagnetic field. In the strong coupling regime the rapid exchange of energy between the molecules and the electromagnetic field results in the emergence of hybrid light-matter states called polaritons. Multiple criteria exist to define the strong coupling regime, usually by comparing the splitting of the polariton bands with the linewidths of the uncoupled modes. Here we highlight the limitations of these criteria and study strong coupling using spectroscopic ellipsometry, a commonly used optical characterisation technique. We identify a new signature of strong coupling in ellipsometric phase spectra. Combining ellipsometric amplitude and phase spectra yields a distinct topological feature that we suggest could serve as a new criterion for strong coupling. Our results introduce the idea of ellipsometric topology and could provide further insight into the transition from the weak to strong coupling regime.
description: Data associated with the figures in the Thomas et al. (2020) article "A new signature for strong light-matter coupling using spectroscopic ellipsometry" published in Nano Letters.
description: The article associated with this dataset is available in ORE at: http://hdl.handle.net/10871/123491
DOI: 10.7910/dvn/eacjok
title: Replication Data for: Evaluation of early antibiotic use in non-severe COVID-19 patients admitted with low risk of bacterial infection

description: The data included in this dataset is clinical information of 2501 COVID-19 patients who admitted to four hospitals in Hubei province, China from Dec 31st, 2019 to Mar 31st, 2020. The dataset is composed of data related to basic demographic characteristics, symptoms, comorbidities, treatments, and lab data on admission of COVID-19 patients during hospitalization. All the data collected from the electronic medical system and laboratory information system. All of the patient's information is de-identified.
DOI: 10.5517/cc1j26tm
title: CCDC 1402310: Experimental Crystal Structure Determination

description: Related Article: Garry E. Kiefer, George R. Newkome, Frank R. Fronczek|2015|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc22frny
title: CCDC 1919850: Experimental Crystal Structure Determination

description: Related Article: Tomislav Stolar, Stipe Lukin, Martin Etter, Maša Rajić Linarić, Krunoslav Užarević, Ernest Meštrović, Ivan Halasz|2020|Chem.Commun.|56|13524|doi:10.1039/D0CC03491F
description: Related Article: Tomislav Stolar|2019|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc24zb5n
title: CCDC 1995351: Experimental Crystal Structure Determination

description: Related Article: Tomislav Stolar, Stipe Lukin, Martin Etter, Maša Rajić Linarić, Krunoslav Užarević, Ernest Meštrović, Ivan Halasz|2020|Chem.Commun.|56|13524|doi:10.1039/D0CC03491F
DOI: 10.5517/ccdc.csd.cc25rby7
title: CCDC 2018439: Experimental Crystal Structure Determination

description: Related Article: Gregory M. Ferrence, Michael I. Webb, Gideon K. Yawson|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc25rbz8
title: CCDC 2018440: Experimental Crystal Structure Determination

description: Related Article: Gregory M. Ferrence, Michael I. Webb, Gideon K. Yawson|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc25rk8s
title: CCDC 2018635: Experimental Crystal Structure Determination

description: Related Article: Nattawut Yuntawattana, Thomas M. McGuire, Christopher B. Durr, Antoine Buchard, Charlotte K. Williams|2020|Cat.Sci.Tech.|10|7226|doi:10.1039/D0CY01484B
DOI: 10.5517/ccdc.csd.cc25rk9t
title: CCDC 2018636: Experimental Crystal Structure Determination

description: Related Article: Nattawut Yuntawattana, Thomas M. McGuire, Christopher B. Durr, Antoine Buchard, Charlotte K. Williams|2020|Cat.Sci.Tech.|10|7226|doi:10.1039/D0CY01484B
DOI: 10.5517/ccdc.csd.cc25rkbv
title: CCDC 2018637: Experimental Crystal Structure Determination

description: Related Article: Nattawut Yuntawattana, Thomas M. McGuire, Christopher B. Durr, Antoine Buchard, Charlotte K. Williams|2020|Cat.Sci.Tech.|10|7226|doi:10.1039/D0CY01484B
DOI: 10.5517/ccdc.csd.cc25rkcw
title: CCDC 2018638: Experimental Crystal Structure Determination

description: Related Article: Nattawut Yuntawattana, Thomas M. McGuire, Christopher B. Durr, Antoine Buchard, Charlotte K. Williams|2020|Cat.Sci.Tech.|10|7226|doi:10.1039/D0CY01484B
DOI: 10.5517/ccdc.csd.cc25rkdx
title: CCDC 2018639: Experimental Crystal Structure Determination

description: Related Article: Nattawut Yuntawattana, Thomas M. McGuire, Christopher B. Durr, Antoine Buchard, Charlotte K. Williams|2020|Cat.Sci.Tech.|10|7226|doi:10.1039/D0CY01484B
DOI: 10.5517/ccdc.csd.cc25rkfy
title: CCDC 2018640: Experimental Crystal Structure Determination

description: Related Article: Nattawut Yuntawattana, Thomas M. McGuire, Christopher B. Durr, Antoine Buchard, Charlotte K. Williams|2020|Cat.Sci.Tech.|10|7226|doi:10.1039/D0CY01484B
DOI: 10.5517/ccdc.csd.cc25rqxl
title: CCDC 2018810: Experimental Crystal Structure Determination

description: Related Article: Laurence Kershaw Cook|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc25rr90
title: CCDC 2018822: Experimental Crystal Structure Determination

description: Related Article: cheng xiu|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc25rv4y
title: CCDC 2018910: Experimental Crystal Structure Determination

description: Related Article: Michael Woerle, Nils Trapp, Michael Solar|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc25rvld
title: CCDC 2018924: Experimental Crystal Structure Determination

description: Related Article: Mitchell Anstey|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc25rvtm
title: CCDC 2018931: Experimental Crystal Structure Determination

description: Related Article: Lei Zhang, Yin Wang, Yunhui Yang, Ping Zhang, Congyang Wang|2020|Org.Chem.Front.|7|3234|doi:10.1039/D0QO00953A
DOI: 10.5517/ccdc.csd.cc25rwmg
title: CCDC 2018956: Experimental Crystal Structure Determination

description: Related Article: Sun Hanxu|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc25ryqm
title: CCDC 2019021: Experimental Crystal Structure Determination

description: Related Article: Diane Xie, Richard D. Ernst, and Atta M. Arif|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc25rytq
title: CCDC 2019024: Experimental Crystal Structure Determination

description: Related Article: Benjamin G. Harvey, Atta M. Arif, and Richard D. Ernst|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc25ryvr
title: CCDC 2019025: Experimental Crystal Structure Determination

description: Related Article: Benjamin G. Harvey, Atta M. Arif, and Richard D.Ernst|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc25rz0y
title: CCDC 2019030: Experimental Crystal Structure Determination

description: Related Article: Benjamin G. Harvey, Atta M. Arif, and Richard D. Ernst|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc25s49f
title: CCDC 2019194: Experimental Crystal Structure Determination

description: Related Article: O. J. Oteri, Atta M. Arif, and Richard Ernst|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc25sk6r
title: CCDC 2019594: Experimental Crystal Structure Determination

description: Related Article: Hai-Yan Su, Xiao-Lei Zhu, Yangen Huang, Xiu-Hua Xu, Feng-Ling Qing|2020|Chem.Commun.|56|12805|doi:10.1039/D0CC05623E
DOI: 10.5517/ccdc.csd.cc25t5hp
title: CCDC 2020192: Experimental Crystal Structure Determination

description: Related Article: Viqqi Kurnianda|2020|CSD Communication|||
DOI: 10.5281/zenodo.4199925
title: Loss and fragmentation of fire-resistent primary forest cover in Sumatra and Kalimantan

description: Here we share primary forest loss and fire occurrence in Sumatra and Kalimantan covering 2001 through 2019 period. The datasets include primary forest cover fraction and active fire detection counts at 1km spatial resolution and annual time step. For details on the datasets see included README file and the following open access publication: Nikonovas <em>et al</em>., Near-complete loss of fire-resistant primary tropical forest cover in Sumatra and Kalimantan,<em> Communs Earth and Environ., <strong>1</strong>, (2020).</em> Usage Notes Contact Tadas Nikonovas (tadas.nik@gmail.com) for questions on usage or additional details. Acknowledgements This study forms part of the Towards a Fire Early Warning System for Indonesia (ToFEWSI) project (Oct. 2017- Oct. 2021), which is funded through the UK’s National Environment Research Council – Newton Fund on behalf of UK Research & Innovation (NE/P014801/1), Indonesia Endowment Fund for Education and the Indonesian Science Fund (Principal Investigators: Allan Spessa (UK) and Muhammad Ali Imron (Indonesia)). The ToFEWSI project is developing a suite of climate, hydrological- and agent-based models to predict the incidence of peat forest fires in Indonesia, plus new evidence-based proposals for managing fires in Indonesia.
description: Methods Methods are described in the following open-access manuscript: Nikonovas et al., Near-complete loss of fire-resistant primary tropical forest cover in Sumatra and Kalimantan, Commun Earth and Environ., 1, (2020).
DOI: 10.5281/zenodo.4199924
title: Loss and fragmentation of fire-resistent primary forest cover in Sumatra and Kalimantan

description: Here we share primary forest loss and fire occurrence in Sumatra and Kalimantan covering 2001 through 2019 period. The datasets include primary forest cover fraction and active fire detection counts at 1km spatial resolution and annual time step. For details on the datasets see included README file and the following open access publication: Nikonovas <em>et al</em>., Near-complete loss of fire-resistant primary tropical forest cover in Sumatra and Kalimantan,<em> Communs Earth and Environ., <strong>1</strong>, (2020).</em> Usage Notes Contact Tadas Nikonovas (tadas.nik@gmail.com) for questions on usage or additional details. Acknowledgements This study forms part of the Towards a Fire Early Warning System for Indonesia (ToFEWSI) project (Oct. 2017- Oct. 2021), which is funded through the UK’s National Environment Research Council – Newton Fund on behalf of UK Research & Innovation (NE/P014801/1), Indonesia Endowment Fund for Education and the Indonesian Science Fund (Principal Investigators: Allan Spessa (UK) and Muhammad Ali Imron (Indonesia)). The ToFEWSI project is developing a suite of climate, hydrological- and agent-based models to predict the incidence of peat forest fires in Indonesia, plus new evidence-based proposals for managing fires in Indonesia.
description: Methods Methods are described in the following open-access manuscript: Nikonovas et al., Near-complete loss of fire-resistant primary tropical forest cover in Sumatra and Kalimantan, Commun Earth and Environ., 1, (2020).
DOI: 10.6084/m9.figshare.13194731
title: DATA file.xlsx

description: Data
DOI: 10.5255/ukda-sn-854399
title: A behavioural dataset for studying individual differences in language skills 2019

description: This resource contains data from 112 Dutch adults (18-29 years of age) who completed the Individual Differences in Language Skills test battery that included 33 behavioural tests assessing language skills and domain-general cognitive skills likely involved in language tasks. The battery included tests measuring linguistic experience (e.g. vocabulary size, prescriptive grammar knowledge), general cognitive skills (e.g. working memory, non-verbal intelligence) and linguistic processing skills (word production/comprehension, sentence production/comprehension). Testing was done in a lab-based setting resulting in high quality data due to tight monitoring of the experimental protocol and to the use of software and hardware that were optimized for behavioural testing. Each participant completed the battery twice (i.e., two test days of four hours each). Raw data from all tests on both days as well as pre-processed data are provided.
DOI: 10.21227/pvb4-9378
title: Data collected from force, current, position, and inertial sensors of the NAO humanoid robot

description: This dataset has data collected from force, current, position, and inertial sensors of the NAO humanoid robot while walking on Vinyl, Gravel, Wood,Concrete, Artificial grass, and Asphalt without slope and while walking on Vinyl, Gravel and Wood with a slope of 2 degrees.
DOI: 10.21227/mw4j-jk79
title: Data collected from force, current, position, and inertial sensors of the NAO humanoid robot

description: This dataset has data collected from force, current, position, and inertial sensors of the NAO humanoid robot while walking on Vinyl, Gravel, Wood,Concrete, Artificial grass, and Asphalt without slope and while walking on Vinyl, Gravel and Wood with a slope of 2 degrees.
DOI: 10.21227/gan8-mb33
title: Data collected from force, current, position, and inertial sensors of the NAO humanoid robot

description: This dataset has data collected from force, current, position, and inertial sensors of the NAO humanoid robot while walking on Vinyl, Gravel, Wood,Concrete, Artificial grass, and Asphalt without slope and while walking on Vinyl, Gravel and Wood with a slope of 2 degrees.
DOI: 10.6084/m9.figshare.13194746
title: EDVI of Amazon in 2008

description: Microwave Emissivity Difference Vegetation Index (EDVI) of Amazon in 2008. EDVI is a vegetation inner water content index.
DOI: 10.6084/m9.figshare.13194746.v1
title: EDVI of Amazon in 2008

description: Microwave Emissivity Difference Vegetation Index (EDVI) of Amazon in 2008. EDVI is a vegetation inner water content index.
DOI: 10.5281/zenodo.4153149
title: Cancel3

description: xxx
DOI: 10.5281/zenodo.4153148
title: Cancel3

description: xxx
DOI: 10.6084/m9.figshare.13194743
title: Dataset Stata 13 - ESS1_7-8_RP.dta

description: Aa combination of variables from the ESS 7 & 8.
DOI: 10.6084/m9.figshare.13194743.v1
title: Dataset Stata 13 - ESS1_7-8_RP.dta

description: Aa combination of variables from the ESS 7 & 8.
DOI: 10.5281/zenodo.4147002
title: CANCEL

description: zzz
DOI: 10.5281/zenodo.4147001
title: CANCEL

description: zzz
DOI: 10.5281/zenodo.3999986
title: Alternative carbon price trajectories can avoid excessive carbon removal

description: This package contains the data and plot routines used in preparation for the paper "Alternative carbon price trajectories can avoid excessive carbon removal" by Jessica Strefler et al.
description: The research leading to these results has received funding from the German Research Foundation (DFG)Priority Programme (SPP) 1689 (CEMICS) and from the German Federal Ministry of Education and Research (BMBF) in the START project (03EK3046A) of the Australian-German Energy Transition Hub.
DOI: 10.5285/b2e5007e-f3a8-429c-e053-6c86abc0ba4f
title: Nitrate isotope measurements from CTD niskin depth profiles from Changing Arctic Ocean cruise JR16006 in the Barents Sea during summer 2017.

description: Nitrate isotope samples were collected onboard the RRS James Clark Ross in the Barents Sea from 30/06/2017-08/08/2017 as part of the Changing Arctic Oceans project. Seawater samples were filtered inline from the Niskin bottles, and frozen at -20°C until analysis on land. Samples were measured for δ<sup>15</sup>N-NO3 and δ<sup>18</sup>O-NO3 of nitrate using the Denitrifier method and bacterial strain P. aureofaciens. Samples were corrected using international reference standards IAEA-N3 and USGS-34 and an internal standard of North Atlantic Deep Water was run with each batch to check for inter-run comparability. Final values were calculated using the correction scheme of Weigand et al., (2016) with reproducibility of 0.1 and 0.3‰ for δ<sup>15</sup>N-NO3 and δ<sup>18</sup>O respectively.
DOI: 10.5281/zenodo.3756780
title: Individual-based plant-pollinator networks are structured by phenotypic and microsite plant traits

description: Dataset associated with the manuscript "Individual-based plant-pollinator networks are structured by phenotypic and microsite plant traits" (Arroyo-Correa et al. 2020), including plant-pollinator interactions, individual plant attributes and the plant polygon map created with drone flights.
DOI: 10.5281/zenodo.4247568
title: SpEDIT: A fast and efficient CRISPR/Cas9 method for fission yeast

description: Underlying data and extended data for: <em>SpEDIT</em>: A fast and efficient CRISPR/Cas9 method for fission yeast
DOI: 10.5281/zenodo.4247567
title: SpEDIT: A fast and efficient CRISPR/Cas9 method for fission yeast

description: Underlying data and extended data for: <em>SpEDIT</em>: A fast and efficient CRISPR/Cas9 method for fission yeast
DOI: 10.34740/kaggle/dsv/1621763
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.5281/zenodo.4150881
title: University of Denver Collections as Data - Entire Dataset JCRS 2020_08_30

description: This is the entire University of Denver Collections as Data Dataset produced for the Collections as Data - Part to Whole Cohort 1.
DOI: 10.5281/zenodo.4150880
title: University of Denver Collections as Data - Entire Dataset JCRS 2020_08_30

description: This is the entire University of Denver Collections as Data Dataset produced for the Collections as Data - Part to Whole Cohort 1.
DOI: 10.5281/zenodo.4215928
title: HTR_Validation_Set_JCRS_2020_5_27

description: HTR_Validation_Set_JCRS_2020_5_27.zip
DOI: 10.5281/zenodo.4215927
title: HTR_Validation_Set_JCRS_2020_5_27

description: HTR_Validation_Set_JCRS_2020_5_27.zip