cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4605238
title: WWER results for 411 phenotypes from the UKBB

description: Results of running Welch-weighted Egger regression on all heritable phenotypes in the UKBB. See forthcoming biorxiv preprint for more information.
DOI: 10.5517/ccdc.csd.cc231p84
title: CCDC 1938035: Experimental Crystal Structure Determination

description: Related Article: Martin Piesch, Stephan Reichl, Michael Seidl, Gábor Balázs, Manfred Scheer|2019|Angew.Chem.,Int.Ed.|58|16563|doi:10.1002/anie.201908397
DOI: 10.5517/ccdc.csd.cc26td3k
title: CCDC 2050188: Experimental Crystal Structure Determination

description: Related Article: Anwar Hussain, Luke Lewandowski, Dawson C. Cork, Kadarkaraisamy Mariappan, Andrew G. Sykes|2021|Polyhedron|200|115120|doi:10.1016/j.poly.2021.115120
DOI: 10.5517/ccdc.csd.cc26td4l
title: CCDC 2050189: Experimental Crystal Structure Determination

description: Related Article: Anwar Hussain, Luke Lewandowski, Dawson C. Cork, Kadarkaraisamy Mariappan, Andrew G. Sykes|2021|Polyhedron|200|115120|doi:10.1016/j.poly.2021.115120
DOI: 10.5066/p9sgagsu
title: USGS National and Global Oil and Gas Assessment Project - Wind River Basin, Mowry Shale Formation Assessment Unit Boundaries and Assessment Input Data Forms

description: This data release contains the boundaries of assessment units and input data for the assessment of undiscovered oil and gas resources in the Mowry formation of the Wind River Basin Province in Wyoming. The Assessment Unit is the fundamental unit used in the National Assessment Project for the assessment of undiscovered oil and gas resources. The Assessment Unit is defined within the context of the higher-level Total Petroleum System. The Assessment Unit is shown herein as a geographic boundary interpreted, defined, and mapped by the geologist responsible for the province and incorporates a set of known or postulated oil and (or) gas accumulations sharing similar geologic, geographic, and temporal properties within the Total Petroleum System, such as source rock, timing, migration pathways, trapping mechanism, and hydrocarbon type. The Assessment Unit boundary is defined geologically as the limits of the geologic elements that define the Assessment Unit, such as limits of reservoir rock, geologic structures, source rock, and seal lithologies. The only exceptions to this are Assessment Units that border the Federal-State water boundary. In these cases, the Federal-State water boundary forms part of the Assessment Unit boundary. Methodology of assessments are documented in USGS Data Series 547 for continuous assessments (https://pubs.usgs.gov/ds/547) and USGS DDS69-D, Chapter 21 for conventional assessments (https://pubs.usgs.gov/dds/dds-069/dds-069-d/REPORTS/69_D_CH_21.pdf). See supplemental information for a detailed list of files included this data release.
DOI: 10.6084/m9.figshare.12866720
title: S1 Table. Supplementary table for "Inventory of water masses and carbonate system from Brazilian’s northeast coast: monitoring ocean acidification" manuscript.

description: S1 Table. Sampling stations for the oceanographic cruise in the Sergipe-Alagoas sedimentary basin held in May 2014 onboard the Seward Johnson Research Vessel.
DOI: 10.6084/m9.figshare.12866720.v2
title: S1 Table. Supplementary table for "Inventory of water masses and carbonate system from Brazilian’s northeast coast: monitoring ocean acidification" manuscript.

description: S1 Table. Sampling stations for the oceanographic cruise in the Sergipe-Alagoas sedimentary basin held in May 2014 onboard the Seward Johnson Research Vessel.
DOI: 10.6084/m9.figshare.12866720.v1
title: Supplementary table for "Inventory of water masses and carbonate system from Brazilian’s northeast coast: monitoring ocean acidification" manuscript.

description: S1 Table. Sampling stations for the oceanographic cruise in the Sergipe-Alagoas sedimentary basin held in May 2014 onboard the Seward Johnson Research Vessel.
DOI: 10.15468/3b62x4
title: Redescription of Paraclimenes gorgonicola (Bruce, 1969) (Crustacea: Decapoda Palaemonidae) and establishing P. franklini (Bruce, 1990) as its junior synonym

description: This dataset contains the digitized treatments in Plazi based on the original journal article Park, Jin-Ho, Fransen, Charles H. J. M. (2021): Redescription of Paraclimenes gorgonicola (Bruce, 1969) (Crustacea: Decapoda Palaemonidae) and establishing P. franklini (Bruce, 1990) as its junior synonym. Zootaxa 4938 (4): 443-456, DOI: https://doi.org/10.11646/zootaxa.4938.4.4
DOI: 10.5281/zenodo.4581051
title: Dataset: Bygones in a Public Project

description: This is the dataset to reproduce the main results from the paper "Bygones in a Public Project" by Corina Haita-Falah, published in Social Choice and Welfare. <strong>Haita-Falah, Corina. </strong>2021. "Bygones in a public project." <em>Social Choice and Welfare</em>. DOI: 10.1007/s00355-021-01315-0
DOI: 10.5281/zenodo.4581050
title: Dataset: Bygones in a Public Project

description: This is the dataset to reproduce the main results from the paper "Bygones in a Public Project" by Corina Haita-Falah, published in Social Choice and Welfare. <strong>Haita-Falah, Corina. </strong>2021. "Bygones in a public project." <em>Social Choice and Welfare</em>. DOI: 10.1007/s00355-021-01315-0
DOI: 10.7303/syn23747212
title: Fetal Tissue Annotation Dataset
DOI: 10.15139/s3/4c55as
title: Monmouth University Iowa Poll, Number 203

description: This survey was conducted among Iowa voters likely to attend the 2020 presidential caucus.
DOI: 10.5281/zenodo.4605293
title: PhD Student

description: J. Shao et al., Fuel 225 (2018) 370–380 - C2H4 phi=1
DOI: 10.5281/zenodo.4605292
title: PhD Student

description: J. Shao et al., Fuel 225 (2018) 370–380 - C2H4 phi=1
DOI: 10.5281/zenodo.4605340
title: Adatas for fibroblast datasets (reynolds et al 2020)

description: These anndatas are available to download easily. Data have been processed using kallisto standard procedure using loompy (https://linnarssonlab.org/loompy/kallisto/index.html). Genome annotation was GENCODE v31.
DOI: 10.6084/m9.figshare.14215889
title: Psychological behavior data and ERP data

description: Recognition features of facial and body expressions: evidence from ERP. There were 27 effective behavioral subjects in this study and 28 effective subjects in ERP experiment.
DOI: 10.5519/qd.yryp9m5d
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (29500 records)
DOI: 10.5281/zenodo.4605413
title: PhD Student

description: J. Shao et al., Fuel 225 (2018) 370–380
DOI: 10.5281/zenodo.4605416
title: Underlying data from two questionnaires used to understand the research climate of Bioimage Analysts in the UK between 2016-2019.

description: This data was created as a consequence of two questionnaires sent out to researchers in the UK, the first in 2016 and the second in 2019. The questionnaires were created as part of the efforts of the Image Analysis Focused Interest Group of the Royal Microscopical Society (IAFIG-RMS). The questionnaires were distributed through mailing lists specific to microscopy and image analysis with a core UK readership. This repository contains the anonymised data from the two questionnaires. The initial questionnaire related to the theme: Do you use or develop bioimage analysis for life sciences research? Whereas the second questionnaire focused on the subject of bioimage analysis funding sources. The analysis scripts are also included allowing anyone with Python expertise to reanalyse the data.
DOI: 10.5281/zenodo.4275936
title: Underlying data from two questionnaires used to understand the research climate of Bioimage Analysts in the UK between 2016-2019.

description: This data was created as a consequence of two questionnaires sent out to researchers in the UK, the first in 2016 and the second in 2019. The questionnaires were created as part of the efforts of the Image Analysis Focused Interest Group of the Royal Microscopical Society (IAFIG-RMS). The questionnaires were distributed through mailing lists specific to microscopy and image analysis with a core UK readership. This repository contains the anonymised data from the two questionnaires. The initial questionnaire related to the theme: Do you use or develop bioimage analysis for life sciences research? Whereas the second questionnaire focused on the subject of bioimage analysis funding sources. The analysis scripts are also included allowing anyone with Python expertise to reanalyse the data.
DOI: 10.5519/qd.bd7ugnk3
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (578 records)
DOI: 10.6084/m9.figshare.13238936
title: Datasets for Léonard et al. ToRQuEMaDA: Tool for Retrieving Queried Eubacteria, Metadata and Dereplicating Assemblies

description: This archive provides details on the <b>9 datasets</b> referenced in <b>Table 1</b> of the article:A. Bacteria (49 orgs)<br>B. Bacteria (151 orgs)<br>C. Actinobacteria (20 orgs)D. Bacteroidetes (37 orgs)E. Chlamydia (32 orgs)F. Cyanobacteria (46 orgs)G. Firmicutes (22 orgs)H. Proteobacteria (36 orgs)I. Archaea (86 orgs)<br>It contains 5 directories:- <b>tables</b> are the TSV tables with the taxonomic details and the FTP download links- <b>42-reports</b> are the TSV contamination reports by our software Forty-Two (see https://metacpan.org/release/Bio-MUST-Apps-FortyTwo)- <b>kronas</b> are the HTML taxonomic plots generated with Krona (see https://github.com/marbl/Krona/)- <b>supermatrices</b> are the FASTA supermatrices of ribosomal proteins- <b>trees</b> are the Newick trees computed by IQ-TREE
DOI: 10.6084/m9.figshare.13238936.v2
title: Datasets for Léonard et al. ToRQuEMaDA: Tool for Retrieving Queried Eubacteria, Metadata and Dereplicating Assemblies

description: This archive provides details on the <b>9 datasets</b> referenced in <b>Table 1</b> of the article:A. Bacteria (49 orgs)<br>B. Bacteria (151 orgs)<br>C. Actinobacteria (20 orgs)D. Bacteroidetes (37 orgs)E. Chlamydia (32 orgs)F. Cyanobacteria (46 orgs)G. Firmicutes (22 orgs)H. Proteobacteria (36 orgs)I. Archaea (86 orgs)<br>It contains 5 directories:- <b>tables</b> are the TSV tables with the taxonomic details and the FTP download links- <b>42-reports</b> are the TSV contamination reports by our software Forty-Two (see https://metacpan.org/release/Bio-MUST-Apps-FortyTwo)- <b>kronas</b> are the HTML taxonomic plots generated with Krona (see https://github.com/marbl/Krona/)- <b>supermatrices</b> are the FASTA supermatrices of ribosomal proteins- <b>trees</b> are the Newick trees computed by IQ-TREE
DOI: 10.6084/m9.figshare.13238936.v1
title: Datasets for Léonard et al. ToRQuEMaDA: Tool for Retrieving Queried Eubacteria, Metadata and Dereplicating Assemblies

description: This archive provides details on the <b>8 datasets</b> referenced in <b>Table 1</b> of the article:A. Bacteria (49 orgs)<br>B. Bacteria (151 orgs)<br>C. Actinobacteria (20 orgs)D. Bacteroidetes (37 orgs)E. Chlamydia (32 orgs)F. Cyanobacteria (46 orgs)G. Firmicutes (22 orgs)H. Proteobacteria (36 orgs)<br>It contains 5 directories:- <b>tables</b> are the TSV tables with the taxonomic details and the FTP download links- <b>42-reports</b> are the TSV contamination reports by our software Forty-Two (see https://metacpan.org/pod/Bio::MUST::Apps::FortyTwo)- <b>kronas</b> are the HTML taxonomic plots generated with Krona (see https://github.com/marbl/Krona/)- <b>supermatrices</b> are the FASTA supermatrices of ribosomal proteins- <b>trees</b> are the Newick trees computed by IQ-TREE
DOI: 10.6084/m9.figshare.14217008
title: deposito datos.dta

description: Data were collected in 2017 by CADIS , a disability organization which coordinates most of the associations linked to disability issues in the Spanish province of Huesca, located in northeastern Spain. The sample comprised 367 interviews with people with a disability account card.The range of age of interviewees was between 18 and 67.
DOI: 10.6084/m9.figshare.14217008.v1
title: deposito datos.dta

description: Data were collected in 2017 by CADIS , a disability organization which coordinates most of the associations linked to disability issues in the Spanish province of Huesca, located in northeastern Spain. The sample comprised 367 interviews with people with a disability account card.The range of age of interviewees was between 18 and 67.
DOI: 10.5281/zenodo.4603870
title: BabySlakh

description: <strong>Introduction:</strong> BabySlakh is a tiny version of Slakh2100 (zenodo link) that is useful for debugging and prototyping. It consists of the first 20 tracks of Slakh2100 (<em>i.e.</em>, Track00001 through Track00020, inclusive). All of the audio is in the wav format and has a sample rate of 16 kHz. BabySlakh is ready to go once it's unzipped. <strong>About Slakh:</strong> The Synthesized Lakh (Slakh) Dataset is a dataset of multi-track audio and aligned MIDI for music source separation and multi-instrument automatic transcription. Individual MIDI tracks are synthesized from the Lakh MIDI Dataset v0.1 using professional-grade sample-based virtual instruments, and the resulting audio is mixed together to make musical mixtures. The full release of Slakh, called Slakh2100, contains 2100 automatically mixed tracks and accompanying, aligned MIDI files, synthesized from 187 patches categorized into 34 classes. <strong>Helpful Links:</strong> For more information, see www.slakh.com. Support code for Slakh: Available here. Code to render Slakh data: Available in this repo. See the dataset at a glance, and info about <code>metadata.yaml</code>. <strong>Citing Slakh:</strong> If you use BabySlakh or generate data using the same method we ask that you cite it using the following bibtex entry: <pre><code>@inproceedings{manilow2019cutting, title={Cutting Music Source Separation Some {Slakh}: A Dataset to Study the Impact of Training Data Quality and Quantity}, author={Manilow, Ethan and Wichern, Gordon and Seetharaman, Prem and Le Roux, Jonathan}, booktitle={Proc. IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA)}, year={2019}, organization={IEEE} }</code></pre>
DOI: 10.5281/zenodo.4603843
title: BabySlakh

description: <strong>Introduction:</strong> BabySlakh is a tiny version of Slakh2100 (zenodo link) that is useful for debugging and prototyping. It consists of the first 20 tracks of Slakh2100 (<em>i.e.</em>, Track00001 through Track00020, inclusive). All of the audio is in the wav format and has a sample rate of 16 kHz. BabySlakh is ready to go once it's unzipped. <strong>About Slakh:</strong> The Synthesized Lakh (Slakh) Dataset is a dataset of multi-track audio and aligned MIDI for music source separation and multi-instrument automatic transcription. Individual MIDI tracks are synthesized from the Lakh MIDI Dataset v0.1 using professional-grade sample-based virtual instruments, and the resulting audio is mixed together to make musical mixtures. The full release of Slakh, called Slakh2100, contains 2100 automatically mixed tracks and accompanying, aligned MIDI files, synthesized from 187 patches categorized into 34 classes. <strong>Helpful Links:</strong> For more information, see www.slakh.com. Support code for Slakh: Available here. Code to render Slakh data: Available in this repo. See the dataset at a glance, and info about <code>metadata.yaml</code>. <strong>Citing Slakh:</strong> If you use BabySlakh or generate data using the same method we ask that you cite it using the following bibtex entry: <pre><code>@inproceedings{manilow2019cutting, title={Cutting Music Source Separation Some {Slakh}: A Dataset to Study the Impact of Training Data Quality and Quantity}, author={Manilow, Ethan and Wichern, Gordon and Seetharaman, Prem and Le Roux, Jonathan}, booktitle={Proc. IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA)}, year={2019}, organization={IEEE} }</code></pre>
DOI: 10.5517/ccdc.csd.cc1z14dk
title: CCDC 1818348: Experimental Crystal Structure Determination

description: Related Article: Jayaprakash Rao Yerrabelly, Pavan Kumar Bathini, Hemasri Yerrabelly, Kishore Vadapalli|2021|New J.Chem.|45|4705|doi:10.1039/D0NJ04730A
DOI: 10.5517/ccdc.csd.cc21jt0f
title: CCDC 1892984: Experimental Crystal Structure Determination

description: Related Article: Sunghan Choi|2019|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc22cfxt
title: CCDC 1917626: Experimental Crystal Structure Determination

description: Related Article: Edward W. Li, Jade Katinas, Marjorie A. Jones, Christopher G. Hamaker|2021|New J.Chem.|45|4791|doi:10.1039/D0NJ06320G
DOI: 10.5517/ccdc.csd.cc22cfyv
title: CCDC 1917627: Experimental Crystal Structure Determination

description: Related Article: Edward W. Li, Jade Katinas, Marjorie A. Jones, Christopher G. Hamaker|2021|New J.Chem.|45|4791|doi:10.1039/D0NJ06320G
DOI: 10.5517/ccdc.csd.cc22cfzw
title: CCDC 1917628: Experimental Crystal Structure Determination

description: Related Article: Edward W. Li, Jade Katinas, Marjorie A. Jones, Christopher G. Hamaker|2021|New J.Chem.|45|4791|doi:10.1039/D0NJ06320G
DOI: 10.5517/ccdc.csd.cc23rjzd
title: CCDC 1959044: Experimental Crystal Structure Determination

description: Related Article: Ramesh Kumar Gajula, Subhrajit Mohanty, Manjari Chakraborty, Moloy Sarkar, M. Jaya Prakash|2021|New J.Chem.|45|4810|doi:10.1039/D1NJ00434D
DOI: 10.5517/ccdc.csd.cc23vfhx
title: CCDC 1961819: Experimental Crystal Structure Determination

description: Related Article: Max Roemer, Vinicius R. Gonçales, Sinead T. Keaveney, Indrek Pernik, Jiaxin Lian, James Downes, J. Justin Gooding, Barbara A. Messerle|2021|Cat.Sci.Tech.|11|1888|doi:10.1039/D0CY02136A
DOI: 10.5517/ccdc.csd.cc23vfjy
title: CCDC 1961820: Experimental Crystal Structure Determination

description: Related Article: Max Roemer, Vinicius R. Gonçales, Sinead T. Keaveney, Indrek Pernik, Jiaxin Lian, James Downes, J. Justin Gooding, Barbara A. Messerle|2021|Cat.Sci.Tech.|11|1888|doi:10.1039/D0CY02136A
DOI: 10.5517/ccdc.csd.cc23vfkz
title: CCDC 1961821: Experimental Crystal Structure Determination

description: Related Article: Max Roemer, Vinicius R. Gonçales, Sinead T. Keaveney, Indrek Pernik, Jiaxin Lian, James Downes, J. Justin Gooding, Barbara A. Messerle|2021|Cat.Sci.Tech.|11|1888|doi:10.1039/D0CY02136A
DOI: 10.5517/ccdc.csd.cc24fm4c
title: CCDC 1979292: Experimental Crystal Structure Determination

description: Related Article: HaoTian Zhu, WenSi Tang, YuanYuan Ma, YongHui Wang, HuaQiao Tan, YangGuang Li|2021|CrystEngComm|23|2071|doi:10.1039/D1CE00059D
DOI: 10.5517/ccdc.csd.cc24fm5d
title: CCDC 1979293: Experimental Crystal Structure Determination

description: Related Article: HaoTian Zhu, WenSi Tang, YuanYuan Ma, YongHui Wang, HuaQiao Tan, YangGuang Li|2021|CrystEngComm|23|2071|doi:10.1039/D1CE00059D
DOI: 10.5517/ccdc.csd.cc24fm6f
title: CCDC 1979294: Experimental Crystal Structure Determination

description: Related Article: HaoTian Zhu, WenSi Tang, YuanYuan Ma, YongHui Wang, HuaQiao Tan, YangGuang Li|2021|CrystEngComm|23|2071|doi:10.1039/D1CE00059D
DOI: 10.5517/ccdc.csd.cc24fm7g
title: CCDC 1979295: Experimental Crystal Structure Determination

description: Related Article: HaoTian Zhu, WenSi Tang, YuanYuan Ma, YongHui Wang, HuaQiao Tan, YangGuang Li|2021|CrystEngComm|23|2071|doi:10.1039/D1CE00059D
DOI: 10.5517/ccdc.csd.cc25dsm0
title: CCDC 2008292: Experimental Crystal Structure Determination

description: Related Article: Alexey A. Akulov, Mikhail V. Varaksin, Anton N. Tsmokalyuk, Valery N. Charushin, Oleg N. Chupakhin|2021|Green Chemistry|23|2049|doi:10.1039/D1GC00175B
DOI: 10.5517/ccdc.csd.cc2676vj
title: CCDC 2032727: Experimental Crystal Structure Determination

description: Related Article: Arshid A. Ganie, Thufail M. Ismail, P. K. Sajith, Aijaz A. Dar|2021|New J.Chem.|45|4780|doi:10.1039/D0NJ05485B
DOI: 10.5517/ccdc.csd.cc2676wk
title: CCDC 2032728: Experimental Crystal Structure Determination

description: Related Article: Arshid A. Ganie, Thufail M. Ismail, P. K. Sajith, Aijaz A. Dar|2021|New J.Chem.|45|4780|doi:10.1039/D0NJ05485B
DOI: 10.5517/ccdc.csd.cc2676xl
title: CCDC 2032729: Experimental Crystal Structure Determination

description: Related Article: Arshid A. Ganie, Thufail M. Ismail, P. K. Sajith, Aijaz A. Dar|2021|New J.Chem.|45|4780|doi:10.1039/D0NJ05485B
DOI: 10.5517/ccdc.csd.cc26jv2p
title: CCDC 2041972: Experimental Crystal Structure Determination

description: Related Article: Wilfred T. Diment, Tim Stößer, Ryan W. F. Kerr, Andreas Phanopoulos, Christopher B. Durr, Charlotte K. Williams|2021|Cat.Sci.Tech.|11|1737|doi:10.1039/D0CY02164D
DOI: 10.5517/ccdc.csd.cc26jv3q
title: CCDC 2041973: Experimental Crystal Structure Determination

description: Related Article: Wilfred T. Diment, Tim Stößer, Ryan W. F. Kerr, Andreas Phanopoulos, Christopher B. Durr, Charlotte K. Williams|2021|Cat.Sci.Tech.|11|1737|doi:10.1039/D0CY02164D
DOI: 10.5517/ccdc.csd.cc26jv4r
title: CCDC 2041974: Experimental Crystal Structure Determination

description: Related Article: Wilfred T. Diment, Tim Stößer, Ryan W. F. Kerr, Andreas Phanopoulos, Christopher B. Durr, Charlotte K. Williams|2021|Cat.Sci.Tech.|11|1737|doi:10.1039/D0CY02164D
DOI: 10.5517/ccdc.csd.cc26jyqf
title: CCDC 2042085: Experimental Crystal Structure Determination

description: Related Article: Jun Xu, Lin Huang, Lei He, Zhigang Ni, Jiabin Shen, Xiaoling Li, Kaixian Chen, Wanmei Li, Pengfei Zhang|2021|Green Chemistry|23|2123|doi:10.1039/D0GC04235H
DOI: 10.5517/ccdc.csd.cc26kxl9
title: CCDC 2043011: Experimental Crystal Structure Determination

description: Related Article: Banchhanidhi Prusti, Manab Chakravarty|2021|Mat.Advs.|2|1752|doi:10.1039/D0MA00933D
DOI: 10.5517/ccdc.csd.cc26kxmb
title: CCDC 2043012: Experimental Crystal Structure Determination

description: Related Article: Banchhanidhi Prusti, Manab Chakravarty|2021|Mat.Advs.|2|1752|doi:10.1039/D0MA00933D
DOI: 10.5517/ccdc.csd.cc26q47b
title: CCDC 2047061: Experimental Crystal Structure Determination

description: Related Article: Xiu-Li Wang, Zi-Wei Cui, Hong-Yan Lin, Zhi-Han Chang|2021|CrystEngComm|23|2113|doi:10.1039/D1CE00009H
DOI: 10.5517/ccdc.csd.cc26qmn7
title: CCDC 2047539: Experimental Crystal Structure Determination

description: Related Article: Dandan Han, Shichao Du, Songgu Wu, Ruiling Ouyang, Junbo Gong|2021|CrystEngComm|23|2162|doi:10.1039/D0CE01803A