cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc24l1rk
title: CCDC 1983558: Experimental Crystal Structure Determination

description: Related Article: Hanna Laaroussi, Ying Ding, Teng Yuou, Patrick Deschamps, Michel Vidal, Peng Yu, Sylvain Broussy|2020|Eur.J.Med.Chem.|202|112561|doi:10.1016/j.ejmech.2020.112561
DOI: 10.5517/ccdc.csd.cc24mgcm
title: CCDC 1984910: Experimental Crystal Structure Determination

description: Related Article: Cheng-Han Yu, Xin Yang, Xiaozhou Ji, Chen-Hao Wang, Qingheng Lai, Nattamai Bhuvanesh, Oleg V. Ozerov|2020|Inorg.Chem.|59|10153|doi:10.1021/acs.inorgchem.0c01281
DOI: 10.5517/ccdc.csd.cc24mgdn
title: CCDC 1984911: Experimental Crystal Structure Determination

description: Related Article: Cheng-Han Yu, Xin Yang, Xiaozhou Ji, Chen-Hao Wang, Qingheng Lai, Nattamai Bhuvanesh, Oleg V. Ozerov|2020|Inorg.Chem.|59|10153|doi:10.1021/acs.inorgchem.0c01281
DOI: 10.5281/zenodo.3975087
title: Data Associated with Manuscript Titled "Socio-hydrological System in the Remote Arid Highland of Baja California Sur, Mexico"

description: This is a dataset in support of analyses of water chemistry and social networks described and interpreted in the associated manuscript titled "Socio-hydrological System in the Remote Arid Highland of Baja California Sur, Mexico"
DOI: 10.4231/r7668b50
title: Proceedings of the 2016 Information Security Research and Education (INSuRE) Conference (INSuRECon-16)

description: Proceedings of the 2016 Information Security Research and Education (INSuRE) Conference (INSuRECon-16) held on September 30, 2016
DOI: 10.6084/m9.figshare.3761562.v1566
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.5517/ccdc.csd.cc24pj7m
title: CCDC 1986890: Experimental Crystal Structure Determination

description: Related Article: Andrew R. Chadeayne, Duyen N. K. Pham, Brian G. Reid, James A. Golen, David R. Manke|2020|ACS Omega|5|16940|doi:10.1021/acsomega.0c02208
DOI: 10.5517/ccdc.csd.cc24pj8n
title: CCDC 1986891: Experimental Crystal Structure Determination

description: Related Article: Andrew R. Chadeayne, Duyen N. K. Pham, Brian G. Reid, James A. Golen, David R. Manke|2020|ACS Omega|5|16940|doi:10.1021/acsomega.0c02208
DOI: 10.5517/ccdc.csd.cc24qpsc
title: CCDC 1988023: Experimental Crystal Structure Determination

description: Related Article: Navjot Sandhu, Atul Pratap Singh, Akhil Saxena, Satish K. Pandey, Kamlesh Kumar, Ashish Pratap Singh, Rajesh K. Yadav|2020|J.Mol.Struct.|1221|128762|doi:10.1016/j.molstruc.2020.128762
DOI: 10.5517/ccdc.csd.cc250d9x
title: CCDC 1996378: Experimental Crystal Structure Determination

description: Related Article: Xiaomei Chen, Li Ding, Yuan Tao, Christophe Pannecouque, Erik De Clercq, Chunlin Zhuang, Fen-Er Chen|2020|Eur.J.Med.Chem.|202|112549|doi:10.1016/j.ejmech.2020.112549
DOI: 10.5281/zenodo.3975179
title: TRF Reference Files

description: TRF Reference Files
DOI: 10.5281/zenodo.3975205
title: Fluctuating asymmetry in Onthophagus brendelli (Coleoptera: Scarabaeidae)

description: <b>Description: </b>Contains bilateral trait measurements for Onthophagus brendelli (Scarabaeidae) collected from historical sites of selective logging and old growth forest. Fluctuating asymmetry is measured as the signed difference between the right and left sides of a bilaterally symmetrical feature, such as antennae or legs.<b>Project: </b>This dataset was collected as part of the following SAFE research project: <b>Tracking insect community responses to experimental habitat fragmentation</b><b>XML metadata: </b>GEMINI compliant metadata for this dataset is available here<b>Files: </b>This consists of 1 file: SAFE_data-upload_ktaylor.xlsx<b>SAFE_data-upload_ktaylor.xlsx</b>This file contains dataset metadata and 1 data tables:<b>Bilateral trait data</b> (described in worksheet Traits)Description: Data frame of trait measurementsNumber of fields: 10Number of data rows: 2214Fields: <b>date</b>: date measurements were collected from specimens (Field type: date)<b>block</b>: forest block where beetles caught (Field type: replicate)<b>trap_N</b>: trap number where beetles caught (Field type: location)<b>id</b>: beetle ID number, as recorded on specimens and in other brendelli data (Field type: id)<b>rep</b>: repeated measurement of the same beetle (Field type: replicate)<b>sex</b>: best guess of individual sex based on protibia morphology (Ochi, Kon & Barclay, 2009) (Field type: categorical trait)<b>trait</b>: trait measured (Field type: categorical)<b>left</b>: measurement of left trait length (Field type: numeric trait)<b>right</b>: measurement of right trait length (Field type: numeric trait)<b>fa</b>: signed difference of right length - left length (Field type: numeric trait)<b>Date range: </b>2017-07-10 to 2017-09-05<b>Latitudinal extent: </b>4.6693 to 4.7714<b>Longitudinal extent: </b>116.9474 to 117.7031<b>Taxonomic coverage: </b><br> All taxon names are validated against the GBIF backbone taxonomy. If a dataset uses a synonym, the accepted usage is shown followed by the dataset usage in brackets. Taxa that cannot be validated, including new species and other unknown taxa, morphospecies, functional groups and taxonomic levels not used in the GBIF backbone are shown in square brackets. - Animalia <br> - - Arthropoda <br> - - - Insecta <br> - - - - Coleoptera <br> - - - - - Scarabaeidae <br> - - - - - - <i>Onthophagus</i> <br> - - - - - - - <i>Onthophagus brendelli</i> <br>
DOI: 10.5281/zenodo.3975204
title: Fluctuating asymmetry in Onthophagus brendelli (Coleoptera: Scarabaeidae)

description: <b>Description: </b>Contains bilateral trait measurements for Onthophagus brendelli (Scarabaeidae) collected from historical sites of selective logging and old growth forest. Fluctuating asymmetry is measured as the signed difference between the right and left sides of a bilaterally symmetrical feature, such as antennae or legs.<b>Project: </b>This dataset was collected as part of the following SAFE research project: <b>Tracking insect community responses to experimental habitat fragmentation</b><b>XML metadata: </b>GEMINI compliant metadata for this dataset is available here<b>Files: </b>This consists of 1 file: SAFE_data-upload_ktaylor.xlsx<b>SAFE_data-upload_ktaylor.xlsx</b>This file contains dataset metadata and 1 data tables:<b>Bilateral trait data</b> (described in worksheet Traits)Description: Data frame of trait measurementsNumber of fields: 10Number of data rows: 2214Fields: <b>date</b>: date measurements were collected from specimens (Field type: date)<b>block</b>: forest block where beetles caught (Field type: replicate)<b>trap_N</b>: trap number where beetles caught (Field type: location)<b>id</b>: beetle ID number, as recorded on specimens and in other brendelli data (Field type: id)<b>rep</b>: repeated measurement of the same beetle (Field type: replicate)<b>sex</b>: best guess of individual sex based on protibia morphology (Ochi, Kon & Barclay, 2009) (Field type: categorical trait)<b>trait</b>: trait measured (Field type: categorical)<b>left</b>: measurement of left trait length (Field type: numeric trait)<b>right</b>: measurement of right trait length (Field type: numeric trait)<b>fa</b>: signed difference of right length - left length (Field type: numeric trait)<b>Date range: </b>2017-07-10 to 2017-09-05<b>Latitudinal extent: </b>4.6693 to 4.7714<b>Longitudinal extent: </b>116.9474 to 117.7031<b>Taxonomic coverage: </b><br> All taxon names are validated against the GBIF backbone taxonomy. If a dataset uses a synonym, the accepted usage is shown followed by the dataset usage in brackets. Taxa that cannot be validated, including new species and other unknown taxa, morphospecies, functional groups and taxonomic levels not used in the GBIF backbone are shown in square brackets. - Animalia <br> - - Arthropoda <br> - - - Insecta <br> - - - - Coleoptera <br> - - - - - Scarabaeidae <br> - - - - - - <i>Onthophagus</i> <br> - - - - - - - <i>Onthophagus brendelli</i> <br>
DOI: 10.3886/e120556
title: Annual Reports of the Commissioner of Patents Data

description: This repository includes patent data constructed from the Annual Reports of the Commissioner of Patents and Annual Indices of Patents for the years 1870-1941. <br><br>We construct and use this data in our paper "Changes in the Demographics of American Inventors, 1870-1940." For replication codes and patent data matched to the U.S. population census, see the project "American Inventors, 1870-1940" (https://doi.org/10.3886/E109970V2).<br><br>The folder "Raw" contains .txt files OCRed from the Annual Reports. The folder "Parsed" contains .dta files with inventor and patent information parsed from these text files. READ_ME.txt explains the data in more detail.<br><br>If you have questions, please contact Mike Andrews (mandrews@nber.org).
DOI: 10.3886/e120556v1
title: Annual Reports of the Commissioner of Patents Data

description: This repository includes patent data constructed from the Annual Reports of the Commissioner of Patents and Annual Indices of Patents for the years 1870-1941. <br><br>We construct and use this data in our paper "Changes in the Demographics of American Inventors, 1870-1940." For replication codes and patent data matched to the U.S. population census, see the project "American Inventors, 1870-1940" (https://doi.org/10.3886/E109970V2).<br><br>The folder "Raw" contains .txt files OCRed from the Annual Reports. The folder "Parsed" contains .dta files with inventor and patent information parsed from these text files. READ_ME.txt explains the data in more detail.<br><br>If you have questions, please contact Mike Andrews (mandrews@nber.org).
DOI: 10.3886/e120465
title: Data and Code for: Schools without a law: primary education in France from the Revolution to the Guizot Law

description: This kit contains the do-files and the dabasets used in "Schools without a law: primary education in France from the Revolution to the Guizot Law". A README file provides more information on the data and on how to use them to replicate the findinds of this paper. <br><br><br>
DOI: 10.3886/e120465v2
title: Data and Code for: Schools without a law: primary education in France from the Revolution to the Guizot Law

description: This kit contains the do-files and the dabasets used in "Schools without a law: primary education in France from the Revolution to the Guizot Law". A README file provides more information on the data and on how to use them to replicate the findinds of this paper. <br><br><br>
DOI: 10.3886/e120364v2
title: Data and Code for: Individual Identity and Organizational Identification: Evidence from a Field Experiment

description: This contains the do-file for the table in "Individual Identity and Organizational Identification: Evidence from a Field Experiment".<br><br>
DOI: 10.3886/e120364
title: Data and Code for: Individual Identity and Organizational Identification: Evidence from a Field Experiment

description: This contains the do-file for the table in "Individual Identity and Organizational Identification: Evidence from a Field Experiment".<br><br>
DOI: 10.3886/e119446v19-43493
title: COVID-19 US State Policy Database

description: Database of state policies on closures, shelter-in-place orders, housing protections, changes to Medicaid and SNAP, physical distancing closures, reopening, and more created by researchers at the Boston University School of Public Health. Policies included are state-wide directives or mandates, not guidance or recommendations. In order for a policy to be included, it must apply to the entire state. We are working quickly to go through state government websites to make the policy database as complete and accurate as possible in a rapidly changing policy context. If you use data on a given policy, we encourage you to triangulate based on additional sources of policy data and to review the source documentation to consider the coding decisions that are right for your work. Of course, please email us if you note a discrepancy so we can improve the database for everyone. State policy source documentation can be found at: tinyurl.com/statepolicysources.
description: other; Contributors: Megan Cole Brahim, Noa Krawczyk, Carolyn Hoffman, Claire Corkish, Elizabeth Ferrara, Elizabeth Long, Emily Baroni, Faith Contador, Hannah Simon, Morgan Simko, Rachel Scheckman, Sarah Brewer, Sue Kulkarni, Felicia Heykoop, Manish Patel, Aishwarya Vidyasagaran, Andrew Chiao, Cara Safon, Samantha Burkhart, Harry Jung, Victor Lee, Marina MacKinnon, Aarohi Rede, Marie Vearling, Sophie Li, Christina Wang, Tim Levengood, María Jordán P. Emma Chistolini
description: State policies. Smallest Geographic Unit: State
DOI: 10.3886/e120555
title: Deconstructing Bias in Social Preferences Reveals Groupy and Not Groupy Behavior

description: Group divisions are a continual feature of human history, with biases toward people’s own groups shown in both experimental and natural settings. Using a novel within-subject design, this work deconstructs group biases to find significant and robust individual differences; some individuals consistently respond to group divisions, while others do not. We examined individual behavior in two treatments in which subjects make pairwise decisions that determine own and others’ income. In a political treatment, which divided subjects into groups based on their political leanings, political party members showed more ingroup bias than Independents who professed the same political opinions. But this greater bias was also present in a minimal group treatment, showing that stronger group identification was not the driver of higher favoritism in the political setting. Analyzing individual choices across the experiment, we categorize participants as “groupy” or “not groupy,” such that groupy participants have social preferences that change for ingroup and outgroup recipients, while not-groupy participants’ preferences do not change across group context. Demonstrating further that the group identity of the recipient mattered less to their choices, strongly not-groupy subjects made allocation decisions faster. We conclude that observed ingroup biases build on a foundation of heterogeneity in individual groupiness.
description: computer-assisted self interview (CASI); self-enumerated questionnaire; web-based survey;
description: Students and Community Members at Duke University for Duke Sample<br>National MTurks Sample.
DOI: 10.3886/e120555v1
title: Deconstructing Bias in Social Preferences Reveals Groupy and Not Groupy Behavior

description: Group divisions are a continual feature of human history, with biases toward people’s own groups shown in both experimental and natural settings. Using a novel within-subject design, this work deconstructs group biases to find significant and robust individual differences; some individuals consistently respond to group divisions, while others do not. We examined individual behavior in two treatments in which subjects make pairwise decisions that determine own and others’ income. In a political treatment, which divided subjects into groups based on their political leanings, political party members showed more ingroup bias than Independents who professed the same political opinions. But this greater bias was also present in a minimal group treatment, showing that stronger group identification was not the driver of higher favoritism in the political setting. Analyzing individual choices across the experiment, we categorize participants as “groupy” or “not groupy,” such that groupy participants have social preferences that change for ingroup and outgroup recipients, while not-groupy participants’ preferences do not change across group context. Demonstrating further that the group identity of the recipient mattered less to their choices, strongly not-groupy subjects made allocation decisions faster. We conclude that observed ingroup biases build on a foundation of heterogeneity in individual groupiness.
description: computer-assisted self interview (CASI); self-enumerated questionnaire; web-based survey;
description: Students and Community Members at Duke University for Duke Sample<br>National MTurks Sample.
DOI: 10.25816/287k-9w04
title: General Record of Incidence of Mortality (GRIM) books

description: GRIM books are Excel workbooks that contain national level, historical and recent mortality data for specific causes of death. The tables present age- and sex-specific counts and rates by cause of death, along with other summary measures.
GRIM books are available for all causes of death combined and 54 other cause of death groupings.
DOI: 10.5517/ccdc.csd.cc25gm4f
title: CCDC 2010044: Experimental Crystal Structure Determination

description: Related Article: Le-Cheng Wang, Shiying Du, Zhengkai Chen, Xiao-Feng Wu|2020|Org.Lett.|22|5567|doi:10.1021/acs.orglett.0c01927
DOI: 10.5517/ccdc.csd.cc25khw4
title: CCDC 2012826: Experimental Crystal Structure Determination

description: Related Article: Andrey N. Usoltsev, Nikita A. Korobeynikov, Alexander S. Novikov, Pavel E. Plyusnin, Vladimir P. Fedin, Maxim N. Sokolov, Sergey A. Adonin|2020|Inorg.Chim.Acta|513|119932|doi:10.1016/j.ica.2020.119932
DOI: 10.5517/ccdc.csd.cc25lg19
title: CCDC 2013730: Experimental Crystal Structure Determination

description: Related Article: Vladislav G. Lisnyak, Scott A. Snyder|2020|J.Am.Chem.Soc.|142|12027|doi:10.1021/jacs.0c04914
DOI: 10.5517/ccdc.csd.cc25lg2b
title: CCDC 2013731: Experimental Crystal Structure Determination

description: Related Article: Vladislav G. Lisnyak, Scott A. Snyder|2020|J.Am.Chem.Soc.|142|12027|doi:10.1021/jacs.0c04914
DOI: 10.17632/dnx6bc59rj.3
title: Plug Load Dataset for Office Spaces

description: This repository contains the office plug load dataset that was collected in the paper titled "Near-Real-Time Plug Load Identification using Low-frequency Power Data in Office Spaces: Experiments and Applications". This paper was submitted on 27th April 2020 to the Journal of Applied Energy and accepted on 9th June 2020. Please include the following citation if you are interested in using this dataset: Tekler ZD, Low R, Zhou Y, Yuen C, Blessing L, Spanos C. Near-real-time plug load identification using low-frequency power data in office spaces: Experiments and applications. Applied Energy 2020;275:115391. https://doi.org/10.1016/j.apenergy.2020.115391 The dataset was the result of a three-week data collection effort that was conducted in a typical office environment between February 2020 to March 2020. The dataset contains the power consumption data of several plug loads that are commonly found on the occupants' desks, including 31 laptops, 9 desktops, 35 monitors, 13 fans, and 11 task lamps. A total of 36 occupants participated in this study consisting of a mixture of researchers and administrative staff. Each entry in the dataset contains four fields, including 1) the timestamp information, 2) the instantaneous power value of the connected plug load recorded up to two decimal places, 3) a unique ID indicating the smart power plug that recorded the information, and 4) the label of the corresponding plug load type that was provided post-data collection. The data was also collected with a sampling frequency of 1/60 Hz (equivalent to 1 sample every minute). This dataset has also been uploaded at the following sites: GitHub: https://github.com/zeynepduygutekler/plug-load-dataset
DOI: 10.5281/zenodo.3975228
title: CWASI database: virtual water trade and consumptive water footprint of agricultural products (1961-2013)

description: The CWASI database is a unique and harmonized database of water footprint (WF) and virtual water trade (VWT) data in the period 1961-2016. The database includes hundreds of agricultural products among which are: crops, crop-derived products, livestock products, and livestock-derived, both edible and non-edible. The database has been developed within the EU-funded CWASI project.
DOI: 10.5517/ccdc.csd.cc25lg3c
title: CCDC 2013732: Experimental Crystal Structure Determination

description: Related Article: Vladislav G. Lisnyak, Scott A. Snyder|2020|J.Am.Chem.Soc.|142|12027|doi:10.1021/jacs.0c04914
DOI: 10.5517/ccdc.csd.cc25lg4d
title: CCDC 2013733: Experimental Crystal Structure Determination

description: Related Article: Vladislav G. Lisnyak, Scott A. Snyder|2020|J.Am.Chem.Soc.|142|12027|doi:10.1021/jacs.0c04914
DOI: 10.5517/ccdc.csd.cc25lg5f
title: CCDC 2013734: Experimental Crystal Structure Determination

description: Related Article: Yonghoon Moon, Wooseok Lee, Sungwoo Hong|2020|J.Am.Chem.Soc.|142|12420|doi:10.1021/jacs.0c05025
DOI: 10.5517/ccdc.csd.cc25lg6g
title: CCDC 2013735: Experimental Crystal Structure Determination

description: Related Article: Yonghoon Moon, Wooseok Lee, Sungwoo Hong|2020|J.Am.Chem.Soc.|142|12420|doi:10.1021/jacs.0c05025
DOI: 10.5517/ccdc.csd.cc25lg7h
title: CCDC 2013736: Experimental Crystal Structure Determination

description: Related Article: Yonghoon Moon, Wooseok Lee, Sungwoo Hong|2020|J.Am.Chem.Soc.|142|12420|doi:10.1021/jacs.0c05025
DOI: 10.5281/zenodo.3971235
title: Biomedical ELECTRA based deep language representation models for biomedical text mining.

description: The gzipped tar file contains two biomedical language representation models based on ELECTRA (Clark et al., 2020) deep transformers architecture to be used for down-stream biomedical text mining tasks. Bio-ELECTRA is pre-trained from scratch on PubMed abstracts for 1.8 million steps. Bio-ELECTRA++ is the further pre-trained version of Bio-ELECTRA trained on a corpus of open access full papers from PubMed.
DOI: 10.5281/zenodo.3971234
title: Biomedical ELECTRA based deep language representation models for biomedical text mining.

description: The gzipped tar file contains two biomedical language representation models based on ELECTRA (Clark et al., 2020) deep transformers architecture to be used for down-stream biomedical text mining tasks. Bio-ELECTRA is pre-trained from scratch on PubMed abstracts for 1.8 million steps. Bio-ELECTRA++ is the further pre-trained version of Bio-ELECTRA trained on a corpus of open access full papers from PubMed.
DOI: 10.5281/zenodo.3975261
title: Wind observations in a 22 m tower at El Palmar state reserve, Yucatan, Mexico

description: This database contains wind measurements, at the ecohydrological monitoring site of “El Palmar” state reserve (21.0293 ° N, 90.0637 ° W; 1.86 mamsl), Yucatan, Mexico. The acquisition of these data was performed from December 7th 2016 to August 21st 2019, in a 22 m Eddy-Covariance tower, using a 3D sonic anemometer (WindMaster Pro, Gill Instruments, UK) connected to a LI-7550 Interface Unit. Data was processed using the EddyPro 6.2.2 software, and are presented in averages of every half hour. A quality control was performed on the data. For more information visit: http://ocse.mx/en/experimento/torre-de-flujos-palmar
description: Funding Organization (s): Consejo Nacional de Ciencia y Tecnología CONACYT (415123), Laboratorio Nacional de Resiliencia Costera (271544)
DOI: 10.5281/zenodo.3923112
title: Wind observations in a 22 m tower at El Palmar state reserve, Yucatan, Mexico

description: This database contains wind measurements, at the ecohydrological monitoring site of “El Palmar” state reserve (21.0293 ° N, 90.0637 ° W; 1.86 mamsl), Yucatan, Mexico. The acquisition of these data was performed from December 7th 2016 to August 21st 2019, in a 22 m Eddy-Covariance tower, using a 3D sonic anemometer (WindMaster Pro, Gill Instruments, UK) connected to a LI-7550 Interface Unit. Data was processed using the EddyPro 6.2.2 software, and are presented in averages of every half hour. A quality control was performed on the data. For more information visit: http://ocse.mx/en/experimento/torre-de-flujos-palmar
description: Funding Organization (s): Consejo Nacional de Ciencia y Tecnología CONACYT (415123), Laboratorio Nacional de Resiliencia Costera (271544)
DOI: 10.5517/ccdc.csd.cc24cnhp
title: CCDC 1977412: Experimental Crystal Structure Determination

description: Related Article: Chi Lun Lee, Daqing Chen, Xiao-Yong Chang, Zhou Tang, Chi-Ming Che|2020|Organometallics|39|2642|doi:10.1021/acs.organomet.0c00268