cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.1594/ieda/100664
title: Compilation of published major and trace elements and Sr-Nd-Pb-Hf isotope ratios of Quaternary-age arc volcanic rocks from 9 arc settings

description: This compilation of published major element, trace element, and Sr-Nd-Pb-Hf isotope ratios of Quaternary-age arc volcanic rocks from 9 arc settings (Aleutian, Cascades, Izu-Bonin, Japan, Kamchatka, Kuriles, Luzon Taiwan, Mariana, and Ryukyu Arcs) was created in order to trace the compositions of the altered oceanic crust (AOC) on arc chemistry.
description: Straub, S.M., Zellmer, G.F., 2012. Volcanic Arcs as Archives of Plate Tectonic Change. Gondwana Res, 21(2-3): 495-516
DOI: 10.17632/wg9pkrp3rv.4
title: Wind Power Generation Forecast by Coupling Numerical Weather Prediction Model and Gradient Boosting Machines in Yahyalı Wind Power Plant

description: A low-resolution WRF model has run which has exact same spatial resolution with GFS of NCEP which is initial and boundary conditions data and extracted data from the four grid points of this model which surround the related wind farm are used as predictor variables to the gradient boosting machines. Thus; the downscaling process is basically done by the coupling of the low-resolution numerical weather prediction model and machine learning algorithm. The results of this hybrid model are also compared with the results of a WRF model which has a higher spatial resolution in terms of both statistical measures and required time. As a result of this; the study claims a novel approach for not only increasing the accuracy of the wind power generation forecasts but also reducing the computational expense. Since wind energy increases its share in installed energy capacity thanks to its maturity in terms of technology and decreasing costs; wind power generation forecasts with high performance becomes very crucial to have not only the security of the electricity supply of the countries all around the world but also prevent energy imbalance penalties for the wind farm owners. Besides, this study shows that a better performance than the downscaling processes of the numerical weather prediction models do can be achieved in shorter periods with machine learning algorithms. Thus; this study also highlights that the coupling of machine learning algorithms with the numerical weather prediction models can play an effective role in the future in terms of atmospheric sciences. Consequently; this work provides basically not only increasing the accuracy of the wind power generation forecasts when it is compared with the numerical weather prediction models but also decreasing the computational expense by doing the downscaling process of numerical weather prediction models with gradient boosting machines.
DOI: 10.17909/hs6f-a370
title: Telford+ (2021) COS Data

description: G130M and G160M observations of the metal-poor O stars LP26 (Leo P), S3 (Sextans A), and A15 (WLM)
DOI: 10.18128/d060.v2.8
title: American Time Use Survey Data Extract Builder: Version 2.8

description: The American Time Use Survey Data Extract Builder (ATUS-X) is a part of IPUMS Time Use, dedicated to making time use data easier for researchers to use. The American Time Use Survey (ATUS) ATUS is an ongoing annual time diary study, started in 2003, that is funded by the U.S. Bureau of Labor Statistics (BLS) and fielded by the U.S. Census Bureau. It provides detailed information about the activities in which respondents engage together with extensive information about the characteristics of those respondents and other members of their households. The ATUS is a general purpose survey that already has been used to study a diverse range of topics, including parent time with children, gender differences in time devoted to household work, household production over the life cycle and its implications for the well-being of elderly Americans, hours of paid work, and the effects of shift work on time for other activities, to name just a few. ATUS-X is an online data access system and available free of charge to registered users at www.ipums.org/timeuse.
DOI: 10.34740/kaggle/dsv/7384155
title: Apple Quality
DOI: 10.3886/icpsr31202.v2
title: National Crime Victimization Survey, 2010
title: Version 2

description: The National Crime Victimization Survey (NCVS) Series, previously called the National Crime Surveys (NCS), has been collecting data on personal and household victimization through an ongoing survey of a nationally-representative sample of residential addresses since 1973. The NCVS was designed with four primary objectives: (1) to develop detailed information about the victims and consequences of crime, (2) to estimate the number and types of crimes not reported to the police, (3) to provide uniform measures of selected types of crimes, and (4) to permit comparisons over time and types of areas. The survey categorizes crimes as "personal" or "property." Personal crimes include rape and sexual attack, robbery, aggravated and simple assault, and purse-snatching/pocket-picking, while property crimes include burglary, theft, motor vehicle theft, and vandalism. Each respondent is asked a series of screen questions designed to determine whether she or he was victimized during the six-month period preceding the first day of the month of the interview. A "household respondent" is also asked to report on crimes against the household as a whole (e.g., burglary, motor vehicle theft). The data include type of crime, month, time, and location of the crime, relationship between victim and offender, characteristics of the offender, self-protective actions taken by the victim during the incident and results of those actions, consequences of the victimization, type of property lost, whether the crime was reported to police and reasons for reporting or not reporting, and offender use of weapons, drugs, and alcohol. Basic demographic information such as age, race, gender, and income is also collected, to enable analysis of crime by various subpopulations. This version of the NCVS, referred to as the collection year, contains records from interviews conducted in the 12 months of the given year.
description: The data files include several weight variables used to calculate national estimates of: households, persons, victimizations, and incidents. The codebook describes how to use the weights.
description: Stratified multistage cluster sample.
description: Datasets: DS0: Study-Level Files DS1: Address Record-Type File DS2: Household Record-Type File DS3: Person Record-Type File DS4: Incident Record-Type File DS5: 2010 Collection Year Incident-Level Extract File
description: All persons in the United States aged 12 and over. Smallest Geographic Unit: region
description: computer-assisted personal interview (CAPI); face-to-face interviewThe 2010 Collection Year Incident-Level Extract File was created from the record-type files and includes information on victims of crime; nonvictims are not included. Under the collection year format a crime incident is included based on when the interview is conducted, not on when the crime incident occurred.The data were collected by the United States Department of Commerce, Bureau of the Census.
DOI: 10.3886/icpsr35164.v1
title: National Crime Victimization Survey, [United States], 2013
title: NCVS 2013
title: Version 1

description: The National Crime Victimization Survey (NCVS) Series, previously called the National Crime Surveys (NCS), has been collecting data on personal and household victimization through an ongoing survey of a nationally-representative sample of residential addresses since 1973. The NCVS was designed with four primary objectives: (1) to develop detailed information about the victims and consequences of crime, (2) to estimate the number and types of crimes not reported to the police, (3) to provide uniform measures of selected types of crimes, and (4) to permit comparisons over time and types of areas. The survey categorizes crimes as "personal" or "property." Personal crimes include rape and sexual attack, robbery, aggravated and simple assault, and purse-snatching/pocket-picking, while property crimes include burglary, theft, motor vehicle theft, and vandalism. Each respondent is asked a series of screen questions designed to determine whether she or he was victimized during the six-month period preceding the first day of the month of the interview. A "household respondent" is also asked to report on crimes against the household as a whole (e.g., burglary, motor vehicle theft). The data include type of crime, month, time, and location of the crime, relationship between victim and offender, characteristics of the offender, self-protective actions taken by the victim during the incident and results of those actions, consequences of the victimization, type of property lost, whether the crime was reported to police and reasons for reporting or not reporting, and offender use of weapons, drugs, and alcohol. Basic demographic information such as age, race, gender, and income is also collected, to enable analysis of crime by various subpopulations. This version of the NCVS, referred to as the collection year, contains records from interviews conducted in the 12 months of the given year.
description: ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection: Performed consistency checks.; Created variable labels and/or value labels.; Standardized missing values.; Performed recodes and/or calculated derived variables.; Checked for undocumented or out-of-range codes..
description: Datasets: DS0: Study-Level Files DS1: Address Record-Type File DS2: Household Record-Type File DS3: Person Record-Type File DS4: Incident Record-Type File DS5: 2012 Collection Year Incident-Level Extract File
description: National Crime Victimization Survey (NCVS) Series
description: computer-assisted personal interview (CAPI)
description: face-to-face interview
description: All persons in the United States aged 12 and older. Smallest Geographic Unit: region
description: Stratified multistage cluster sample.
DOI: 10.5066/f7m61hrq
title: EAARL Coastal Topography-Eastern Louisiana Barrier Islands, 09 March 2008

description: These datasets, prepared cooperatively by the U.S. Geological Survey St. Petersburg Coastal and Marine Science Center and the National Park Service (NPS), provide lidar-derived first-surface and bare-earth topography for a portion of eastern Louisiana. Elevation measurements were acquired by the Experimental Advanced Airborne Research Lidar (EAARL) on March 9, 2008.
DOI: 10.5066/p9dafmjd
title: Nearshore Fish Isotope Values, Beaufort Sea, Alaska, 2017-2019

description: This dataset contains isotope results of stable isotope (&delta;13C and &delta;15N) and radicoarbon (F14C) analyses of muscle tissue from fish collected in the nearshore Beaufort Sea, Alaska in summers 2017-2019.
DOI: 10.5067/terra/mopitt/mop03jm_l3.008
title: MOPITT CO gridded monthly means (Near and Thermal Infrared Radiances) V008
DOI: 10.5255/ukda-sn-6689-7
title: Annual Survey of Hours and Earnings, 1997-2015: Secure Access
DOI: 10.5281/zenodo.10820299
title: KupferDigital mechanical testing datasets: Brinell hardness, Vickers hardness, and tensile tests

description: The KupferDigital project aims to develop digital methods, tools, and data space infrastructures for digitalizing the entire life cycle of copper materials. The mechanical testing process is one of the main chains of such life cycles which generates lots of important testing data about the mechanical properties of the materials and their related materials and testing metadata. To train the digitalization of the mechanical testing process, different kinds of copper alloys were provided for this project, and their mechanical properties were measured by typical methods like Brinell and Vickers hardness and tensile testing. The primary raw testing data as well as the secondary datasets of these tests are provided. The detailed materials specifications, the utilized mechanical testing methods, and the provided datasets are described in the content file. The test data files of heterogeneous structures are processed by the KupferDigital digital tools to be converted to standardized machine-readable data files.
DOI: 10.5281/zenodo.12256082
title: Simulation data for Response of the Thermosphere-Ionosphere System to an X-Class Solar Flare: March 30, 2022 Case Study

description: GITM simulation results for the research article titled "Response of the Thermosphere-Ionosphere System to an X-Class Solar Flare: March 30, 2022 Case Study" submitted to JGR: Space Weather
DOI: 10.5683/sp2/i0436p
title: Methane emissions measurements from Canadian oil and gas sites

description: An aggregated dataset of methane emission measurements from Canadian oil and gas sites. Measurements were collected between 2007 and 2020, using a variety of techniques and sensors. The dataset consists of both published and unpublished measurements, and includes details such as site and/or component type(s), site location (approximate), measurement date, measurement technique, and quantified rate.
DOI: 10.6084/m9.figshare.27174030
title: Supplementary Material for: A predictive model for treatment effectiveness in severe primary immune thrombocytopenia during pregnancy: A retrospective study in a tertiary critical maternity referral center

description: Objectives The study aimed to identify factors influencing the severity of primary immune thrombocytopenia (ITP) during pregnancy, develop a predictive model for treatment response, and report maternal and neonatal outcomes associated with severe ITP.
Design A retrospective analysis was conducted on 155 pregnancies with severe ITP between January 2018 and April 2023 at a tertiary critical maternity referral center in Shanghai, China.
Participants/Materials The study included 155 pregnancies diagnosed with severe ITP, divided into groups based on the lowest platelet count (&lt;30×109/L vs. 30-50×109/L) and first-line treatment response (Non-response vs. Response).
Setting The study was conducted at Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, a tertiary critical maternity rescue referral center.
Methods Clinical characteristics and outcomes were compared between groups.
 A multivariable logistic regression model was used to identify factors associated with the severity of ITP. A prediction model for treatment response was established using LASSO-logistic regression and internally validated. 
Results ITP severity was found to be correlated with low maximum amplitude (MA) of thrombelastography (TEG) (OR 5.43, 95% CI 1.48 to 16.00, p=0.002), bleeding events (OR 4.91, 95% CI 1.62 to 14.86, p=0.005), and low reticulocytes (OR 2.40×10-7, 95% CI 1.06×10-13 to 0.55, p=0.04). Of the 118 patients who received first-line therapy, 52 (44%) responded. The dataset was randomly split into a training (N=99) and test (N=23) set with a ratio of 8:2. A predictive nomogram was created and internally validated showing good discrimination. The model yielded an area under receiver operating characteristic curve (ROC) of 0.78 (0.69 to 0.87) and 0.85 (0.67 to 1.00) in the training and validation cohort, respectively. Earlier delivery and high rate of NICU admission occurred with severe ITP and treatment failure.
Limitations The study was limited by a relatively small sample size and the retrospective observational design, which imposed limitations on the assessment of treatment efficacy.
Conclusions We identified clinical predictors of ITP severity and treatment resistance during pregnancy. A nomogram predicting first-line response was validated. These findings can facilitate clinical decision-making and counseling regarding this challenging pregnancy complication.
DOI: 10.7908/c11g0km9
title: Analysis-ready standardized TCGA data from Broad GDAC Firehose 2016_01_28 run
DOI: 10.17595/20240119.001
title: Prediction Dataset of Climate Change Impact on Water Environment in the Seto Inland Sea

description: This dataset contains the numerical predictions of climate change impacts on water environment in the Seto Inland Sea. The predictions were performed for the present climate at the end of the 20th century and four future climates (RCP 2.6, 4.5, 6.0, and 8.5) at the end of the 21st century.
DOI: 10.25318/3310024701-eng
title: Percentage of workforce teleworking or working remotely, and percentage of workforce expected to continue teleworking or working remotely after the pandemic, by business characteristics

description: Percentage of workforce teleworking or working remotely prior to February 1, 2020, on May 29, 2020, during the COVID-19 pandemic, and percentage of workforce expected to continue teleworking or working remotely after the COVID-19 pandemic, by North American Industry Classification System (NAICS), business employment size, type of business, business activity and majority ownership.
DOI: 10.5258/soton/wp00784
title: Modelled gridded population estimates for Cameroon 2022. Version 1.0

description: Modelled gridded population estimates for Cameroon 2022. Version 1.0
DOI: 10.5281/zenodo.11372539
title: Magnetic Resonance Fingerprinting DICOM Validation Datasets for Real-Time Automated Quality Control for Quantitative MRI

description: 12 DICOM validation datasets (in DICOMDIR .zip format) from two Magnetic Resonance Fingerprinting sequences at two slice thickness across three test-retest sets per configuration. Also included are the resulting vial extraction reports and data for each dataset.
DOI: 10.5281/zenodo.13959481
title: In-vitro selection of lactic acid bacteria to combat Salmonella enterica and Campylobacter jejuni in broiler chickens

description: In-vitro selection of LAB strains for antimicrobial applications in livestock production required specific focus on certain LAB strains. Accordingly, six commercial LAB strains (homofermentative, obligatory heterofermentative and facultative heterofermentative) belonging to different genera, were chosen for screening against strains of Salmonella and Campylobacter jejuni under in-vitro conditions.
DOI: 10.5281/zenodo.13959482
title: In-vitro selection of lactic acid bacteria to combat Salmonella enterica and Campylobacter jejuni in broiler chickens

description: In-vitro selection of LAB strains for antimicrobial applications in livestock production required specific focus on certain LAB strains. Accordingly, six commercial LAB strains (homofermentative, obligatory heterofermentative and facultative heterofermentative) belonging to different genera, were chosen for screening against strains of Salmonella and Campylobacter jejuni under in-vitro conditions.
DOI: 10.6073/pasta/7d5f084a03ea306540f357812e3a0e27
title: SBC LTER: Ocean: Time-series: Mid-water SeaFET pH and CO2 system chemistry with surface and bottom Dissolved Oxygen at Mohawk Reef(MKO), ongoing since 2012-01-11

description: Calibrated pH (Total scale, SeaFET sensor) an disoolved oxygen (miniDOT)data were collected from Mohawk Reef in the Santa Barbara Channel (site ID: MKO). pH data are accompanied by in situ temperature and associated carbonate chemistry parameters. The SeaFET instrument is located about 4 meters from the surface, with other moored instruments. Associated carbonate chemistry parameters were calculated with the CO2calc programs from USGS, and include: partial pressure and fugosity of CO2, concentrations of bicarbonate, carbonate and hyrdroxide ion, Omega (saturation state) of calcite and aragonite. Dissolved oxygen sensors (miniDOT, PME) were added in 2014, and are mounted near the ocean surface and near the seafloor, and also report temperature. All data have been interpolated to a 20 minute time interval for compatibility with other SBC LTER moored instrument data. Data coverage is 2012-01-11 to 2017-12-19.
DOI: 10.6084/m9.figshare.25534285
title: FIGS_PLUS_DATA_RESULTS_SECTION_GOLAN_ET_AL_2024

description: Matlab Codes that include raw data collected in the laboraoty and field for the paper: "Soil contamination in arid environments and assessment of remediation applying surface evaporation capacitor model; a case study from the Judean Desert, Israel"
DOI: 10.6141/tw-srda-ah030002-1
title: 2008 Survey of Women's Employment Equality

description: Survey on Gender Equality at the Workplace
DOI: 10.6141/tw-srda-ah030003-1
title: 2009 Survey on Women Equality of Employment

description: Survey on Gender Equality at the Workplace
DOI: 10.6141/tw-srda-ah030004-1
title: Survey on Gender Equality, 2010

description: Survey on Gender Equality at the Workplace
DOI: 10.17909/5j5g-f698
title: NGC2071IR
DOI: 10.6141/tw-srda-ah030005-1
title: 2011 Survey on Gender Equality in Employment

description: Survey on Gender Equality at the Workplace
DOI: 10.6141/tw-srda-ah030006-1
title: 2012 Survey on Gender Equality at the Workplace

description: Survey on Gender Equality at the Workplace
DOI: 10.15121/1908927
title: Utah FORGE: Updated Seismic Event Catalogue from the April, 2022 Stimulation of Well 16A(78)-32

description: These are revised catalogs, related to the April, 2022 well 16A(78)-32 stimulation (phases 1,2, & 3), provided by Geo Energie Suisse (GES) that include additional events at the start of Stage 1 and some tidying up of some locations. These catalogs also include events for additional events that were auto-located to provide a larger dataset for statistical analyses, like b-value calculations. The actual auto-locations have been removed to prevent spurious location plots being created. Times are recorded in UTC (Coordinate Universal Time), and the coordinate reference system is UTM Zone 12N, NAD83.
DOI: 10.17909/t91019
title: Hubble Legacy Fields ("HLF")

description: The Hubble Legacy Fields project combines exposures from Hubble's two main workhorse cameras (ACS/WFC and WFC3) for the GOODS-South (ECDF-S) region from the HST archival program AR-13252.  The observations were taken over more than a decade between mid-2002 to the end of 2016. The HLF includes essentially all optical (ACS/WFC F435W, F606W, F775W, F814W and F850LP filters) and infrared (WFC3/IR F098M, F105W, F125W, F140W and F160W filters) data taken by Hubble over the original CDF-South region including the GOODS-South, CANDELS, ERS, ECDF-S and many other programs. Given that this dataset combines all images in the archive on the CDF-S to date, the AR proposal identified the product under the global name "Hubble Legacy Field". Given the large area, a global astrometric solution was bootstrapped from the smaller datasets. All the image mosaics have been produced using the same tangent point as the original GOODS-S dataset. The total incorporated in the HLF-GOODS-S is 5.8 MSec in 7211 exposures from about 2442 orbits.