cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/icpsr38089.v1
title: Firearm Injury Surveillance Study, 1993-2017
title: Version 1

description: These data were collected using the National Electronic Injury Surveillance System (NEISS), the primary data system of the United States Consumer Product Safety Commission (CPSC). CPSC began operating NEISS in 1972 to monitor product-related injuries treated in United States hospital emergency departments (EDs). In June 1992, the National Center for Injury Prevention and Control (NCIPC), within the Centers for Disease Control and Prevention, established an interagency agreement with CPSC to begin collecting data on nonfatal firearm-related injuries in order to monitor the incidents and the characteristics of persons with nonfatal firearm-related injuries treated in United States hospital EDs over time. This dataset represents all nonfatal firearm-related injuries (i.e., injuries associated with powder-charged guns) and all nonfatal BB and pellet gun-related injuries reported through NEISS from 1993 through 2017. The cases consist of initial ED visits for treatment of the injuries. Cases were reported even if the patients subsequently died. Secondary visits and transfers from other hospitals were excluded. Information is available on injury diagnosis, firearm type, use of drugs or alcohol, criminal incident, and locale of the incident. Demographic information includes age, sex, and race of the injured person.
description: A weight variable (WT_C) is present in the data.
description: The sample design of NEISS is a stratified, probability sample of all United States hospitals that had at least six beds and provided 24-hour emergency services. There were four hospital-sized strata (defined as very large, large, medium, and small, based on the number of annual ED visits) and one children's hospital stratum. From 1993 through 1996, there were 91 NEISS hospital EDs in the sample. In 1997, the sampling frame was updated so that in 1997 through 1999 the sample included 101 NEISS hospital EDs. In 2000-2001, one NEISS hospital dropped out of the system, so there were 100 NEISS hospital EDs in the sample. In 2002, another hospital dropped out of the system, so there were 99 NEISS hospital EDs in the sampling frame. In 1997, CPSC collected firearm-related cases using the "old" and "new" NEISS hospital samples for a nine-month period. This dataset includes data from the "new" sample. The overlapping "old" sample is not included. Comparisons of weighted estimates based on the "old" and "new" samples indicated a difference of about 1 percent in the overall national estimate using these samples. The characteristics of firearm-related cases from these two overlapping samples were also very similar.
description: Datasets: DS1: Firearm Injury Surveillance Study, 1993-2017
description: United States hospitals providing emergency services.
description: computer-assisted self interview (CASI); self-enumerated questionnaire
DOI: 10.6084/m9.figshare.13019966.v7
title: FaceBold

description: The preprocessed fMRI data of the FaceBold dataset (The data file has been removed due to copyright issues). <br> If you find our data useful in your research or publication, please cite our work:<br> <br> [1] Changde Du, Changying Du, Lijie Huang, Haibao Wang and Huiguang He*. Structured Neural Decoding with Multi-task Transfer Learning of Deep Neural Network Representations. <em>IEEE Transactions on Neural Networks and Learning Systems, 2022.<br> </em> <br> [2] Changde Du, Changying Du, Lijie Huang and Huiguang He*. Conditional Generative Neural Decoding with Structured CNN Feature Prediction. <em>AAAI 2020.</em><br> <pre><code><br></code></pre>
DOI: 10.3886/icpsr37637.v1
title: Anti-Americanism and the Rise of World Opinion in 104 Countries, 2014
title: Version 1

description: The focus of this study is on the international community's perception of the United States and how it differed between the presidential administrations of George W. Bush and Barack Obama; primarily with a focus on the wars in Iraq and Afghanistan. Other factors that are taken into account include the military strength and economic activities of countries.
description: The purpose of this study is analyzing the international community's perception of the United States and how it differed between the presidential administrations of George W. Bush and Barack Obama; primarily with a focus on the wars in Iraq and Afghanistan.
description: The information in the datasets is derived from publicly-accessible sources. The data was then visually graphed, and inferences were drawn from these displays. Tables containing economic calculations were also put together. Both the graphic displays and tables can be found in the study's documentation.
description: The associating variable for each case is Country, which is present in all datasets. For datasets with longitudinal information, other variables are nested to Country by year. Other variables present in the datasets include indexes (democracy, economic, military, etc.), dummy variables, and percentages. Full information on the variables in the datasets can be found in the study's documentation.
description: Datasets: DS0: Study-Level Files DS1: Chapter 3 - Soft Power DS2: Chapter 4 - Coca-Cola DS3: Chapter 4 - Starbucks DS4: Chapter 4 - Study Abroad DS5: Chapter 4 - Tourism DS6: Chapter 5 - The U.S.-Led War In Iraq DS7: Chapter 6 - International Security Assistance Force DS8: Figure 6.4 DS9: Support of War on Terror
description: Up to 104 countries, excluding the United States, and their accompanying indexes (economic, democratic, military, etc.). Smallest Geographic Unit: Country
description: mixed modeOther files on global attitudes toward the United States were collected at the US National Archives.
DOI: 10.3886/icpsr37990.v1
title: Monitoring of Federal Criminal Sentences, [United States], 2018-2019
title: Version 1

description: This collection contains information on federal criminal cases sentenced under the Sentencing Guidelines and Policy Statements of the Sentencing Reform Act of 1984. The data files include all cases received by the United States Sentencing Commission that had sentencing dates between October 1, 2018, and September 30, 2019, and were assessed as constitutional. Constitutionality compares each case's sentencing date, circuit, district, and judge to provide uniformity in reporting the cases. In 1999, the United States Sentencing Commission added more variables from its databases to this collection, so the data are now provided in two files. Several variables iterate to include multiple occurrences of the same event. Part 1, Main Data, includes all noniterating variables plus the highest occurrences of each iterating variable. Part 2, Supplementary Data, includes the remaining iterations.
description: Datasets: DS0: Study-Level Files DS1: Main Data DS2: Supplemental Data
description: All cases received by the United States Sentencing Commission that had sentencing dates between October 1, 2018, and September 30, 2019, and were assessed as constitutional. Smallest Geographic Unit: federal court district
description: Starting with the 1999 data, ICPSR archives MONITORING OF FEDERAL CRIMINAL SENTENCES under a new study number for each year of data. Data for the years 1993-1998 are archived in MONITORING OF FEDERAL CRIMINAL SENTENCES, 1987-1998 (ICPSR 9317).The data producer is the United States Sentencing Commission, Washington, DC.
DOI: 10.6084/m9.figshare.13019966
title: FaceBold

description: The preprocessed fMRI data of the FaceBold dataset. <br> If you find our data useful in your research or publication, please cite our work:<br> <br> [1] Changde Du, Changying Du, Lijie Huang, Haibao Wang and Huiguang He*. Structured Neural Decoding with Multi-task Transfer Learning of Deep Neural Network Representations. <em>IEEE Transactions on Neural Networks and Learning Systems, 2022.<br> </em> <br> [2] Changde Du, Changying Du, Lijie Huang and Huiguang He*. Conditional Generative Neural Decoding with Structured CNN Feature Prediction. <em>AAAI 2020.</em><br> <pre><code><br></code></pre>
DOI: 10.6084/m9.figshare.13019966.v8
title: FaceBold

description: The preprocessed fMRI data of the FaceBold dataset. <br> If you find our data useful in your research or publication, please cite our work:<br> <br> [1] Changde Du, Changying Du, Lijie Huang, Haibao Wang and Huiguang He*. Structured Neural Decoding with Multi-task Transfer Learning of Deep Neural Network Representations. <em>IEEE Transactions on Neural Networks and Learning Systems, 2022.<br> </em> <br> [2] Changde Du, Changying Du, Lijie Huang and Huiguang He*. Conditional Generative Neural Decoding with Structured CNN Feature Prediction. <em>AAAI 2020.</em><br> <pre><code><br></code></pre>
DOI: 10.5517/ccdc.csd.cc24tp3s
title: CCDC 1990885: Experimental Crystal Structure Determination

description: Related Article: Ezzatollah Najafi, Mohammad Janghouri, Alireza Hashemzadeh, Seik Weng Ng|2023|Inorg.Chim.Acta|552|121482|doi:10.1016/j.ica.2023.121482
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.6084/m9.figshare.17024591
title: BraVL

description: This is the official trimodal datasets for the paper "Decoding Visual Neural Representations by Multimodal Learning of Brain-Visual-Linguistic Features" ( https://ieeexplore.ieee.org/document/10089190 ). Code is available at https://github.com/ChangdeDu/BraVL
DOI: 10.5517/ccdc.csd.cc2c3x1g
title: CCDC 2178495: Experimental Crystal Structure Determination

description: Related Article: Xia Li, Debobroto Sensharma, Varvara I. Nikolayenko, Shaza Darwish, Andrey A. Bezrukov, Naveen Kumar, Wansheng Liu, Xiang-Jing Kong, Zhenjie Zhang, Michael J. Zaworotko|2023|Chem.Mater.|35|783|doi:10.1021/acs.chemmater.2c03662
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2c3x4k
title: CCDC 2178498: Experimental Crystal Structure Determination

description: Related Article: Xia Li, Debobroto Sensharma, Varvara I. Nikolayenko, Shaza Darwish, Andrey A. Bezrukov, Naveen Kumar, Wansheng Liu, Xiang-Jing Kong, Zhenjie Zhang, Michael J. Zaworotko|2023|Chem.Mater.|35|783|doi:10.1021/acs.chemmater.2c03662
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2c3x5l
title: CCDC 2178499: Experimental Crystal Structure Determination

description: Related Article: Xia Li, Debobroto Sensharma, Varvara I. Nikolayenko, Shaza Darwish, Andrey A. Bezrukov, Naveen Kumar, Wansheng Liu, Xiang-Jing Kong, Zhenjie Zhang, Michael J. Zaworotko|2023|Chem.Mater.|35|783|doi:10.1021/acs.chemmater.2c03662
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2c3x3j
title: CCDC 2178497: Experimental Crystal Structure Determination

description: Related Article: Xia Li, Debobroto Sensharma, Varvara I. Nikolayenko, Shaza Darwish, Andrey A. Bezrukov, Naveen Kumar, Wansheng Liu, Xiang-Jing Kong, Zhenjie Zhang, Michael J. Zaworotko|2023|Chem.Mater.|35|783|doi:10.1021/acs.chemmater.2c03662
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2cnc8p
title: CCDC 2194312: Experimental Crystal Structure Determination

description: Related Article: S. Kumarans|2022|CSD Communication|||
description: Related Article: Velautham Saravanan, Masilamani Jeganmohan|2023|Chem.Commun.|59|5619|doi:10.1039/D3CC00604B
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.25345/c5pr7n451
title: MassIVE MSV000091863 - GNPS ChhoriBeshar and Budhibeshar
title: This is the data of Budhibeshar and Chhoribeshar for the GNPS networking
DOI: 10.3886/icpsr38409.v1
title: National Survey of Tribal Court Systems, 2014
title: Version 1

description: The National Survey of Tribal Court Systems (NSTCS) is the first complete enumeration of tribal court systems operating in the United States and gathers administrative and operational information from tribal court systems, prosecutors' offices, and indigent defense providers operating in the United States. The NSTCS helps fulfill BJS's legislative mandate under the Tribal Law and Order Act of 2010 (TLOA; P.L. 111-211, 124 Stat. 2258 § 251(b)) to establish and implement a tribal crime data collection system. Data for the NSTCS were collected by Kauffman & Associates, Inc., an American Indian- and woman-owned management consulting firm, in collaboration with the Tribal Law and Policy Institute. The National Survey of Tribal Court Systems (NSTCS) consists of three surveys specific to tribal court systems in the lower 48 states, Alaska Native villages, and the Code of Federal Regulations Courts (CFR Courts) operated by the Bureau of Indian Affairs (BIA). Due to data collection challenges and the limited number of Alaska Native villages and CFR Courts that participated in this collection, the Tribal Courts in United States, 2014, report, data file and documentation include information only on tribal court systems in the lower 48 states. Data for the 2014 NSTCS were collected through mail, email, and telephone nonresponse follow-up. Data on the number and type of tribal court systems were obtained from all eligible federally recognized tribes. The final universe of eligible respondents in the lower 48 states included 234 tribal court systems, of which 196 (83.8%) participated in the survey.
description: Data for the 2014 NSTCS were collected through mail, email, and telephone nonresponse follow-up. During 2015, the NSTCS questionnaire was mailed and emailed to the tribal court systems or judicial forums in Indian country in the lower 48 contiguous states that were determined to potentially be operating during the reference period of calendar year 2014. The survey universe was created by compiling information from the following sources: 2002 Census of Tribal Justice Agencies respondents Tribal Law and Policy Institute National Tribal Court Judges Association United States Tribal Court Directory An FBI list of agencies with originating agency identifiers during 2014 An address request from among all the federally recognized tribes not identified by the above sources.
description: A weight variable has been included and must be used in any analysis.
description: Response Rates: Of the 234 tribal court systems contacted, 196 (83.8%) responded to survey.
description: Datasets: DS1: National Survey of Tribal Court Systems, 2014
description: Tribal Court Systems in the United States. Smallest Geographic Unit: Tribal reservation
description: self-enumerated questionnaireTo see the BJS report on the data, please go to Tribal Courts in the United States, 2014 - Statistical Tables
DOI: 10.3886/icpsr38409
title: National Survey of Tribal Court Systems, 2014
title: Archival Version

description: The National Survey of Tribal Court Systems (NSTCS) is the first complete enumeration of tribal court systems operating in the United States and gathers administrative and operational information from tribal court systems, prosecutors' offices, and indigent defense providers operating in the United States. The NSTCS helps fulfill BJS's legislative mandate under the Tribal Law and Order Act of 2010 (TLOA; P.L. 111-211, 124 Stat. 2258 § 251(b)) to establish and implement a tribal crime data collection system. Data for the NSTCS were collected by Kauffman & Associates, Inc., an American Indian- and woman-owned management consulting firm, in collaboration with the Tribal Law and Policy Institute. The National Survey of Tribal Court Systems (NSTCS) consists of three surveys specific to tribal court systems in the lower 48 states, Alaska Native villages, and the Code of Federal Regulations Courts (CFR Courts) operated by the Bureau of Indian Affairs (BIA). Due to data collection challenges and the limited number of Alaska Native villages and CFR Courts that participated in this collection, the Tribal Courts in United States, 2014, report, data file and documentation include information only on tribal court systems in the lower 48 states. Data for the 2014 NSTCS were collected through mail, email, and telephone nonresponse follow-up. Data on the number and type of tribal court systems were obtained from all eligible federally recognized tribes. The final universe of eligible respondents in the lower 48 states included 234 tribal court systems, of which 196 (83.8%) participated in the survey.
description: Data for the 2014 NSTCS were collected through mail, email, and telephone nonresponse follow-up. During 2015, the NSTCS questionnaire was mailed and emailed to the tribal court systems or judicial forums in Indian country in the lower 48 contiguous states that were determined to potentially be operating during the reference period of calendar year 2014. The survey universe was created by compiling information from the following sources: 2002 Census of Tribal Justice Agencies respondents Tribal Law and Policy Institute National Tribal Court Judges Association United States Tribal Court Directory An FBI list of agencies with originating agency identifiers during 2014 An address request from among all the federally recognized tribes not identified by the above sources.
description: A weight variable has been included and must be used in any analysis.
description: Response Rates: Of the 234 tribal court systems contacted, 196 (83.8%) responded to survey.
description: Datasets: DS1: National Survey of Tribal Court Systems, 2014
description: Tribal Court Systems in the United States. Smallest Geographic Unit: Tribal reservation
description: self-enumerated questionnaireTo see the BJS report on the data, please go to Tribal Courts in the United States, 2014 - Statistical Tables
DOI: 10.25345/c5k06xb16
title: MassIVE MSV000091864 - GNPS ChhoriBeshar and Budhibeshar
title: The is the data of Budhibeshar and Chhoribeshar for metabolomics
DOI: 10.3886/icpsr37647.v1
title: Course Evaluations, Course Characteristics, and Professor Characteristics, Austin, Texas, Academic Years 2000-2002
title: Version 1

description: Contains data on course evaluations, course characteristics, and professor characteristics for 463 courses for the academic years 2000-2002 at the University of Texas at Austin. The purpose of this study was to examine the productivity effects of beauty in the context of undergraduate education. In particular, researchers looked at the impact of instructors' looks on their instructional ratings in the courses that they teach.
description: The purpose of this study was to examine the productivity effects of beauty in the context of undergraduate education. In particular, researchers looked at the impact of instructors' looks on their instructional ratings in the courses that they teach.
description: Researchers chose instructors at all levels of the academic hierarchy, obtaining instructional staffs from a number of departments that had posted all faculty members' pictures on their departmental websites. An additional ten faculty members' pictures were obtained from miscellaneous departments around the University. This sample selection criterion resulted in 463 classes, with the number of classes taught by the sample members ranging from 1 to 13. The classes ranged in size from 8 to 581 students. Underlying the 463 sample observations are 16,957 completed evaluations from 25,547 registered students. Both lower- and upper-division courses are included. Each of the instructors' pictures was rated by each of six undergraduate students: three women and three men, with one of each genderbeing a lower division, two upper-division students (to accord with the distribution of classes across the two levels). The raters were told to use a 10 (highest) to 1 rating scale, to concentrate on the physiognomy of the instructor in the picture, to make their ratings independent of age, and to keep 5 in mind as an average.
description: The data includes various demographic variables such as whether a professor is a minority and their age. It also includes varaibles on the beauty ratings given to professors as well as their course evaluation ratings.
description: Instructors were chosen from all levels of the academic hierarchy at the University of Texas-Austin. Four hundred and sixty three courses were included, ranging in size from 8 to 581 students, and the number of students completing the instructional ratings ranged from 5 to 380.
description: Datasets: DS1: Course Evaluations, Course Characteristics, and Professor Characteristics, Austin, Texas, Academic Years 2000-2002
description: Sample of undergraduate courses at the University of Austin, academic years 2000-2002.