cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/icpsr37694.v1
title: Firearm Injury Surveillance Study, 1993-2016
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 2016. 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, 1993-2016
description: United States hospitals providing emergency services.
description: computer-assisted self interview (CASI); self-enumerated questionnaire
DOI: 10.3886/icpsr38550.v1
title: Monitoring of Federal Criminal Convictions and Sentences: Appeals Data, 2020
title: Version 1

description: This collection contains appellate information from the 12 circuit courts of appeals of the United States. From the Clerk of the Court of each court of appeals, the United States Sentencing Commission compiled the final opinions and orders, both published and unpublished, in all criminal appeals for the time period surveyed. The Commission also collected habeas corpus decisions even though they are technically civil matters, because such cases often involve sentencing issues. Both the "case" and the "defendant" are used in this collection as units of analysis. Each case comprises individual records representing all codefendants participating in a consolidated appeal. Each defendant's record comprises the sentencing-related issues corresponding to that particular defendant.
description: Datasets: DS1: Monitoring of Federal Criminal Convictions and Sentences: Appeals Data, 2020
description: All cases received by the United States Sentencing Commission that had appeals dates between October 1, 2019 and September 30, 2020 and were assessed as constitutional. Smallest Geographic Unit: federal circuit court
description: Starting with the 1999 data, ICPSR archives MONITORING OF FEDERAL CRIMINAL CONVICTIONS AND SENTENCES: APPEALS DATA under a new study number for each year of data. Data for the years 1993-1998 are archived as ICPSR 6559.
DOI: 10.3886/icpsr38550
title: Monitoring of Federal Criminal Convictions and Sentences: Appeals Data, 2020
title: Archival Version

description: This collection contains appellate information from the 12 circuit courts of appeals of the United States. From the Clerk of the Court of each court of appeals, the United States Sentencing Commission compiled the final opinions and orders, both published and unpublished, in all criminal appeals for the time period surveyed. The Commission also collected habeas corpus decisions even though they are technically civil matters, because such cases often involve sentencing issues. Both the "case" and the "defendant" are used in this collection as units of analysis. Each case comprises individual records representing all codefendants participating in a consolidated appeal. Each defendant's record comprises the sentencing-related issues corresponding to that particular defendant.
description: Datasets: DS1: Monitoring of Federal Criminal Convictions and Sentences: Appeals Data, 2020
description: All cases received by the United States Sentencing Commission that had appeals dates between October 1, 2019 and September 30, 2020 and were assessed as constitutional. Smallest Geographic Unit: federal circuit court
description: Starting with the 1999 data, ICPSR archives MONITORING OF FEDERAL CRIMINAL CONVICTIONS AND SENTENCES: APPEALS DATA under a new study number for each year of data. Data for the years 1993-1998 are archived as ICPSR 6559.
DOI: 10.6084/m9.figshare.22769051
title: Supplementary Table.xlsx

description: Table S1 Contig and Scaffold assembly results for the 21 isolates Table S2 core-genome SNPs in 21 K57-KP isolates Table S3 Antibiotic resistance gene and virulence gene characterization of K57-KP <br>
DOI: 10.6084/m9.figshare.22769051.v1
title: Supplementary Table.xlsx

description: Table S1 Contig and Scaffold assembly results for the 21 isolates Table S2 core-genome SNPs in 21 K57-KP isolates Table S3 Antibiotic resistance gene and virulence gene characterization of K57-KP <br>
DOI: 10.3886/icpsr07525.v3
title: Survey of Consumer Attitudes and Behavior, Fall 1973
title: Version 3

description: The Survey of Consumer Attitudes and Behavior series (also known as the Surveys of Consumers) was undertaken to measure changes in consumer attitudes and expectations, to understand why such changes occur, and to evaluate how they relate to consumer decisions to save, borrow, or make discretionary purchases. The data regularly include the Index of Consumer Sentiment, the Index of Current Economic Conditions, and the Index of Consumer Expectations. This survey was undertaken to assess consumer sentiment and buying plans, as well as to provide information on their savings and investment habits and perceptions of government. Open-ended questions were asked concerning evaluations and expectations about personal finances, employment, recession, price changes, and the national business situation. Additional variables probe respondents' buying intentions for a house, automobiles, appliances, and other consumer durables, and respondents' appraisals of present market conditions for purchasing houses and other durables. Other variables probe respondents' assessments of their financial status relative to the previous year, their views of the government in Washington, the need for governmental changes, military spending, government support for Black people, and their satisfaction with their income and their jobs, as well as their opinion of married women working outside the home, women's liberation, and penalties for marijuana use. Information is also provided on respondents' political party identification, time spent with their children, savings accounts, contributions to charitable organizations, and car ownership and plans to buy a new one. Demographic variables provide information on respondents' age, sex, race, ethnic group, marital status, education, occupation, employment status, and family income.
description: The purpose of this survey series is to forecast changes in aggregate consumer behavior.
description: Weights are included in the dataset. Details are provided in the codebook.
description: One respondent from each family unit in the dwellings sampled, usually the head of the family, or the wife. The dwelling units were selected by area probability sampling from primary sampling units. For each dwelling unit in the sample, an interview was sought with a respondent from the primary family and from each secondary family (if any). The head of the family (usually the husband) was the preferred respondent, but the wife could substitute if the head was not readily available.
description: Datasets: DS1: Survey of Consumer Attitudes and Behavior, Fall 1973
description: All families living in continental United States dwelling units, exclusive of those on military reservations. Smallest Geographic Unit: Primary Sampling Units (PSUs)
description: face-to-face interview; telephone interview
DOI: 10.25919/qp8v-8659
title: Electrical conductivity inversions for Grass Patch and Splinter Rock, WA

description: This is a collection of electrical conductivity inversion products from publicly available airborne electromagnetic surveys over the Grass Patch and Splinter Rock prospects near Esperance, Western Australia. The inversions were conducted for OD6 Metals Ltd to ascertain if AEM could map REE prospects in their regions
DOI: 10.5281/zenodo.5692109
title: RePIM - Repertorio della Poesia Italiana in Musica, 1500-1700

description: The “Repertorio della Poesia Italiana in Musica, 1500-1700” (RePIM) is a reference repertoire for research on Italian secular music from the 16th and 17th centuries. It contains a bibliography of literary sources of 1,500 titles; the incipit of over 66,000 musical compositions; a bibliography of circa 3,500 musical sources of secular and spiritual music; an authority file with circa 1,400 musicians and 3,200 poets. The RePIM catalog, edited by Lorenzo Bianconi, Antonio Vassalli and Angelo Pompilio at the University of Bologna since late 1970s, was conceived as a tool to support scholars in identifying authors of poetic writings used by musicians in the profane and spiritual vocal production of the 16th and 17th centuries. The dataset adopts the CIDOC CRM and FRBRoo as reference ontologies and a domain ontology: the RePIM Semantic Model. The dataset format is: RDF N-TRIPLES. DISCLAIMER: this is a preliminary (alpha) version of the dataset. It may contain errors, inconsistencies or omissions. Furhter versions will be published to refine contents. Please take this into account when using these early versions.
description: The RePIM in LOD project was funded by I Tatti – The Harvard University Center For Italian Renaissance Studies.
DOI: 10.3886/icpsr38006.v1
title: Organizations Convicted in Federal Criminal Courts, 2018
title: Version 1

description: These data, collected to assist in the development of sentencing guidelines, describe offense and sentencing characteristics for organizations sentenced in federal district courts in 2018. The United States Sentencing Commission's primary function is to inform federal courts of sentencing policies and practices that include guidelines prescribing the appropriate form and severity of punishment for offenders convicted of federal crimes. Court-related variables include primary offense type, pecuniary offense loss and gain, dates of disposition and sentencing, method of determination of guilt, number of counts pled and charged, and dates and types of sentencing and restitution. Defendant organization variables include ownership structure, number of owners and employees, highest level of corporate knowledge of the criminal offense, highest level of corporate indictment and conviction for participation in the criminal offense, annual revenue, equity and financial status, whether it was a criminal organization, duration of criminal activity, and risk to national security. Organizational defendants data, 2018, covers fiscal year October 1, 2017, through September 30, 2018.
description: Datasets: DS1: Organizations Convicted in Federal Criminal Courts, 2018
description: All cases received by the United States Sentencing Commission that had sentencing dates between October 1, 2017 and September 30, 2018 and were assessed as constitutional. Smallest Geographic Unit: federal court district
description: Starting with the 1999 data, ICPSR archives ORGANIZATIONS CONVICTED IN FEDERAL CRIMINAL COURTS under a new study number for each year of data. Data for the years 1987-1998 are archived in ORGANIZATIONS CONVICTED IN FEDERAL CRIMINAL COURTS, 1987-1998 (ICPSR 9513).
DOI: 10.3886/icpsr38298.v1
title: Firearm Injury Surveillance Study, 1993-2019
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 2019. 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, 1993-2019
description: United States hospitals providing emergency services.
description: computer-assisted self interview (CASI); self-enumerated questionnaire
DOI: 10.5281/zenodo.7898233
title: USPDATRO: Underrepresented Speech Dataset from Romanian language Open Data

description: USPDATRO<br> ========== Underrepresented Speech Dataset from Open Data: Case Study on the Romanian Language (USPDATRO) is a manually created Romanian language speech corpus.<br> It was created specifically using speech types that are underrepresented in other speech datasets.<br> Sources for this dataset are represented by open data available on multimedia platforms under a Creative Commons license.<br> The data was manually transcribed and aligned at segment level.<br> In addition to the text and audio files, we offer text annotations (lemmatization, part of speech tags, dependency parsing) in CoNLL-U Plus format. Each datasource is mentioned by URL in the metadata.csv file with associated license (a Creative Commons variant). Dataset structure:<br> - audio: Folder with audio segments in WAV format<br> - text: Folder with corresponding transcriptions<br> - conllup: Folder with corresponding token-based annotations<br> - metadata.csv: Contains information about each segment LICENSING This work (transcriptions, alignment, metadata, annotations) is provided under the license CC BY-NC-SA 4.0 (Attribution-NonCommercial-ShareAlike 4.0 International).<br> The license can be viewed online here: https://creativecommons.org/licenses/by-nc-sa/4.0/<br> and the full text here: https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode .<br> The original works considered for audio sources are available under their respective licenses (Creative Commons variants) as described in the metadata.csv file. <br> CONTACT Research Institute for Artificial Intelligence "Mihai Drăgănescu", Romanian Academy<br> Web: http://www.racai.ro<br> Contact emails: vasile@racai.ro
DOI: 10.5281/zenodo.7898232
title: USPDATRO: Underrepresented Speech Dataset from Romanian language Open Data

description: USPDATRO<br> ========== Underrepresented Speech Dataset from Open Data: Case Study on the Romanian Language (USPDATRO) is a manually created Romanian language speech corpus.<br> It was created specifically using speech types that are underrepresented in other speech datasets.<br> Sources for this dataset are represented by open data available on multimedia platforms under a Creative Commons license.<br> The data was manually transcribed and aligned at segment level.<br> In addition to the text and audio files, we offer text annotations (lemmatization, part of speech tags, dependency parsing) in CoNLL-U Plus format. Each datasource is mentioned by URL in the metadata.csv file with associated license (a Creative Commons variant). Dataset structure:<br> - audio: Folder with audio segments in WAV format<br> - text: Folder with corresponding transcriptions<br> - conllup: Folder with corresponding token-based annotations<br> - metadata.csv: Contains information about each segment LICENSING This work (transcriptions, alignment, metadata, annotations) is provided under the license CC BY-NC-SA 4.0 (Attribution-NonCommercial-ShareAlike 4.0 International).<br> The license can be viewed online here: https://creativecommons.org/licenses/by-nc-sa/4.0/<br> and the full text here: https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode .<br> The original works considered for audio sources are available under their respective licenses (Creative Commons variants) as described in the metadata.csv file. <br> CONTACT Research Institute for Artificial Intelligence "Mihai Drăgănescu", Romanian Academy<br> Web: http://www.racai.ro<br> Contact emails: vasile@racai.ro
DOI: 10.21335/nmdc-2017043378
title: Nutrient Biogeochemistry in the Barents Sea and the adjoining Arctic Ocean, 1990 - 2019

description: This dataset contains all biogeochemical samples analyzed by the Plankton Chemistry Laboratory at the Institute of Marine Research (IMR) from the Barents Sea and Arctic regions. The number of surveys and stations visited in the Barents Sea and the Arctic has varied over the last 30 years. As of today, the annual Ecosystem Survey is still taking place as a Russian-Norwegian effort, and 2-3 research vessels from IMR will cover the entire Norwegian side of the Barents Sea with trawl surveys, net tows and CTD water sampling. As the summer ice edge has receded further north in recent years, the region north of the Barents Sea has been added to these surveys. In addition to the annual Ecosystem Survey, there are two trans-sectional core surveys (the Fugløya-Bjørnøya and the Vardø-North transects) visited multiple times each year. Water samples are also collected from a number of short-term sampling projects from ships operated by the IMR visiting the region. Each CTD cast is sampled for dissolved inorganic nutrients (nitrate, nitrite, phosphate, silicate) and phytoplankton pigments (ChlA, Phaeo) at predetermined depths, for later analysis at IMR. On occasion, short-term projects have performed Winkler DO titrations (DOW) and particulate organic carbon and nitrogen (POC, PN) determinations. Parts of this unique data set has seen some use over the years, but the entire time-series is a great contribution towards global ocean research and climate change investigations. A description of analytical methods is available (Appendix-1).
DOI: 10.21335/nmdc-51228825
title: Nutrient Biogeochemistry in the Nordic Seas (Norwegian, Greenland, Iceland Seas), 2020 - 2022

description: This dataset contains biogeochemical samples analyzed by the Plankton Chemistry Laboratory at the Institute of Marine Research (IMR), mainly from the Norwegian Sea but also including the Iceland and Greenland Seas. Number of surveys and stations visited has varied greatly over the last 3 decades. One major effort by the IMR is the annual Ecosystem Survey in summer, with multiple trawl surveys, net tows and CTD water sampling over the course of a month. This month-long exercise also include companion vessels from Iceland and the Faroe Islands surveying their own territorial waters (only trawl surveys and net tows). Two transects are also visited multiple times each year by the IMR (Svinøy-NorthWest and Gimsøy-NorthWest), in addition to other water sample collections from short-term projects visiting the region. Each CTD cast is sampled for dissolved inorganic nutrients (nitrate, nitrite, phosphate, silicate) and phytoplankton pigments (ChlA, Phaeo) at predetermined depths and for later analysis at IMR. On occasion, short-term projects have performed Winkler DO titrations (DOW) and particulate organic carbon and nitrogen (POC, PN) determinations. This unique data set has seen limited use over the years, but the entire time-series is a great contribution towards global ocean research and climate change investigations. A description of analytical methods is available (Appendix-1).