cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/ykr5jtj6sx.1
title: PRISMA checklist for ‘The role of salivary orosomucoid 1 as an early diagnostic and prognostic biomarker of hepatocellular carcinoma related to Hepatitis B: A systematic review

description: This dataset provides information on the PRISMA Checklist for the systematic review entitled " The role of salivary orosomucoid 1 as an early diagnostic and prognostic biomarker of hepatocellular carcinoma related to Hepatitis B: A systematic review"
DOI: 10.17632/w8bp678m3f.1
title: Modeling Tick Populations: An Ecological Test Case for Gradient Boosting Trees

description: In in the python file is the code to train and validate the distribution, abundance, multi-class, and density gradient boosted Models. In the CSV file are all features incorporated into models.
DOI: 10.17632/w8bp678m3f.2
title: Modeling Tick Populations: An Ecological Test Case for Gradient Boosting Trees

description: In "GBM_Training.py" is the code to train and validate the distribution, abundance, multi-class, and density gradient boosted models. In " All_features.csv" are all features incorporated into models. In "Nymph_And_Environmental_Data.csv" are the data used to train and evaluate model.
DOI: 10.17632/85nz9k5tf5.3
title: Dataset from transnational survey about Electric Vehicles' knowledge and attitude of European consumers

description: This dataset contains data concerning a transnational survey about knowledge and attitude levels towards electric vehicles (EVs) across European consumers. The survey was conducted within the context of the proEME project (pro-eme.eu) in five countries namely, Denmark, Germany, Hungary, Norway and The Netherlands. Its purpose was to understand public knowledge and perception of EVs, and to identify the misconceived topics about EVs. The survey consisted of 51 multiple-choice questions with topics such as socio-demographics, mobility behaviour and included 23 statements regarding “EV myths”. This dataset can be used for quantitative and qualitative analyses in the area of public perceptions and understanding of EVs.
DOI: 10.17632/85nz9k5tf5.1
title: Transnational survey data on European consumers’ attitude and perceived knowledge about Electric Vehicles

description: This dataset contains data concerning a transnational survey about knowledge and attitude levels towards electric vehicles (EVs) across European consumers. The transnational survey was based on a survey first conducted among Danish households in 2018 (Pilgaard et al., 2019) within the context of the proEME project (pro-eme.eu). The aim of that survey was to learn more about the challenges regarding the uptake of EVs by getting understanding about the public knowledge and perception of EVs, and to identify the misconceived topics about EVs. Due to the useful insights that the survey brought about EV consumers, it was decided to replicate it in The Netherlands (in December 2019); and in Germany, Hungary and once more in Denmark (all, in May 2020). In addition, Norway was also included in the surveyed countries (in May 2020), in order to be able to have a reference against the leading country with respect to uptake of EVs. The transnational survey consisted of 51 multiple-choice questions with topics such as socio-demographics, mobility behaviour and included 23 statements regarding “EV myths”. This cross-country survey was aimed at comparing the public perception and knowledge among countries which differ in EV-market maturity. The data can be used to conduct quantitative and qualitative analyses, especially in the area of public perceptions and understanding of electric vehicles.
DOI: 10.17632/85nz9k5tf5.2
title: Transnational survey data on European consumers’ attitude and perceived knowledge about Electric Vehicles

description: This dataset contains data concerning a transnational survey about knowledge and attitude levels towards electric vehicles (EVs) across European consumers. The transnational survey was based on a survey first conducted among Danish households in 2018 (Pilgaard et al., 2019) within the context of the proEME project (pro-eme.eu). The aim of that survey was to learn more about the challenges regarding the uptake of EVs by getting understanding about the public knowledge and perception of EVs, and to identify the misconceived topics about EVs. Due to the useful insights that the survey brought about EV consumers, it was decided to replicate it in The Netherlands (in December 2019); and in Germany, Hungary and once more in Denmark (all, in May 2020). In addition, Norway was also included in the surveyed countries (in May 2020), in order to be able to have a reference against the leading country with respect to uptake of EVs. The transnational survey consisted of 51 multiple-choice questions with topics such as socio-demographics, mobility behaviour and included 23 statements regarding “EV myths”. This cross-country survey was aimed at comparing the public perception and knowledge among countries which differ in EV-market maturity. The data can be used to conduct quantitative and qualitative analyses, especially in the area of public perceptions and understanding of electric vehicles.
DOI: 10.6084/m9.figshare.19825837
title: Rinovirus_decontaminated_classified.RDS

description: Input data file for the "Impact of the bacterial nasopharyngeal microbiota on the severity of genus Enterovirus LRTI in children.Rmd" code file. Data is stored as a phyloseq object including ASV count data, ASV taxonomic assignments, ASV phylogenetic tree and metadata.
DOI: 10.6084/m9.figshare.19825837.v1
title: Rinovirus_decontaminated_classified.RDS

description: Input data file for the "Impact of the bacterial nasopharyngeal microbiota on the severity of genus Enterovirus LRTI in children.Rmd" code file. Data is stored as a phyloseq object including ASV count data, ASV taxonomic assignments, ASV phylogenetic tree and metadata.
DOI: 10.17632/z5mm8mm9r2.1
title: Cooperative catalysis of Co-promoted Zn/HZSM-5 catalysts for ethane dehydroaromatization

description: XRD raw data for "Cooperative catalysis of Co-promoted Zn/HZSM-5 catalysts for ethane dehydroaromatization"
DOI: 10.6084/m9.figshare.19825450
title: Dictionary_Species

description: Species color dictionary needed while running the "Impact of the bacterial nasopharyngeal microbiota on the severity of genus Enterovirus LRTI in children.Rmd" code file.
DOI: 10.6084/m9.figshare.19825450.v1
title: Dictionary_Species

description: Species color dictionary needed while running the "Impact of the bacterial nasopharyngeal microbiota on the severity of genus Enterovirus LRTI in children.Rmd" code file.
DOI: 10.17632/s5bfwhbcpk.1
title:  datasets about neck pain and isometric exercises

description: 












































































Research   Hypothesis
H1: There would be a lack of IT employees' knowledge about the importance of good neck posture, isometric and stretching exercises. 
H2: Isometric and stretching exercises would be a good effect on improving neck pain





















Abstract
Background: Neck pain is one of the most common musculoskeletal complaints among men and women specifically those working on a computer. Aim   to evaluate the effect of an educational program about isometric and stretching exercises on neck pain among Information Technology employees at new Assuit city. Method and material: Quasi-experimental research design and a single population proportion formula to calculate sample size required for the study through using Open Epi, Version 3. Total final size 118 employee and the program was implemented on (73) employees having neck pain according exclusion criteria. Period of collecting data was from the mid of April 2021 to mid of December 2021. Three tools were used, a tool I: A structured questionnaire which consisted of three parts: 1st part: socio-demographic data, 2nd part: assessment of the nature of the work, and 3rd part: assessment of knowledge of employees. Tool (II): Neck Pain Questionnaire(NPQ) was used to evaluate the degree of neck pain and functional disability, tool (III): observational checklist. Data entry and data analysis were done using SPSS version 22 (Statistical Package for Social Science) (SPSS Inc., Chicago, II., USA). Data were presented as number, percentage, mean, standard deviation, median and range. Chi-square test was used to compare qualitative variables. In case of parametric data, Paired samples t-test was done to compare quantitative data between pre-test and post-test. Pearson correlation was done to measure correlation between quantitative variables. While in case of non-parametric data, Wilcoxon Signed Rank Test was done to compare quantitative variables between pre-test and post-test. P-value considered statistically significant when P < 0.05.
DOI: 10.3886/icpsr24194.v2
title: Federal Justice Statistics Program: Defendants Charged in Criminal Cases Filed in District Court, 2005 [United States]
title: Version 2

description: The data contain records of defendants in federal criminal cases filed in United States District Court during fiscal year 2005. The data were constructed from the Executive Office for United States Attorneys (EOUSA) Central System file. According to the EOUSA, the United States attorneys conduct approximately 95 percent of the prosecutions handled by the Department of Justice. The Central System data contain variables from the original EOUSA files as well as additional analysis variables, or "SAF" variables, that denote subsets of the data. These SAF variables are related to statistics reported in the Compendium of Federal Justice Statistics. Variables containing identifying information (e.g., name, Social Security Number) were replaced with blanks, and the day portions of date fields were also sanitized in order to protect the identities of individuals. These data are part of a series designed by the Urban Institute (Washington, DC) and the Bureau of Justice Statistics. Data and documentation were prepared by the Urban Institute.
description: Datasets: DS1: Federal Justice Statistics Program: Defendants Charged in Criminal Cases Filed in District Court, 2005 [United States]
description: Defendants in federal criminal cases filed in United States District Court during fiscal year 2005.
DOI: 10.3886/icpsr36302.v1
title: Deaths in Custody Reporting Program: Non-standardized Jail Data, 2010
title: Version 1

description: The Deaths in Custody Reporting Program (DCRP) is an annual data collection conducted by the Bureau of Justice Statistics (BJS). The DCRP began in 2000 under the Death in Custody Reporting Act of 2000 (P.L. 106-297). It is the only national statistical collection that obtains detailed information about deaths in adult correctional facilities. The DCRP collects data on persons dying in state prisons, local jails and in the process of arrest. Each collection is a separate subcollection, but each is under the umbrella of the DCRP collection. The DCRP collects inmate death records from each of the nation's 50 state prison systems and approximately 2,800 local jail jurisdictions. In addition, this program collects records of all deaths occurring during the process of arrest. Data are collected directly from state and local law enforcement agencies. Death records include information on decedent personal characteristics (age, race or Hispanic origin, and sex), decedent criminal background (legal status, offense type, and time served), and the death itself (date, time, location, and cause of death, as well as information on the autopsy and medical treatment provided for any illness or disease). This data collection represents a single year of DCRP Jails data. The variable names and coding, while similar to other years, have not been standardized across years. The concatenated multi-year versions of the DCRP Jails population data have been edited to correct outliers and other data anomalies. Researchers are encouraged to use the concatenated multi-year data for final jail population data.
description: Datasets: DS1: Deaths in Custody Reporting Program: Non-standardized Jail Data, 2010
description: Deaths of individuals in jails. Smallest Geographic Unit: county
description: paper and pencil interview (PAPI)
DOI: 10.3886/icpsr36302
title: Deaths in Custody Reporting Program: Non-standardized Jail Data, 2010
title: Archival Version

description: The Deaths in Custody Reporting Program (DCRP) is an annual data collection conducted by the Bureau of Justice Statistics (BJS). The DCRP began in 2000 under the Death in Custody Reporting Act of 2000 (P.L. 106-297). It is the only national statistical collection that obtains detailed information about deaths in adult correctional facilities. The DCRP collects data on persons dying in state prisons, local jails and in the process of arrest. Each collection is a separate subcollection, but each is under the umbrella of the DCRP collection. The DCRP collects inmate death records from each of the nation's 50 state prison systems and approximately 2,800 local jail jurisdictions. In addition, this program collects records of all deaths occurring during the process of arrest. Data are collected directly from state and local law enforcement agencies. Death records include information on decedent personal characteristics (age, race or Hispanic origin, and sex), decedent criminal background (legal status, offense type, and time served), and the death itself (date, time, location, and cause of death, as well as information on the autopsy and medical treatment provided for any illness or disease). This data collection represents a single year of DCRP Jails data. The variable names and coding, while similar to other years, have not been standardized across years. The concatenated multi-year versions of the DCRP Jails population data have been edited to correct outliers and other data anomalies. Researchers are encouraged to use the concatenated multi-year data for final jail population data.
description: Datasets: DS1: Deaths in Custody Reporting Program: Non-standardized Jail Data, 2010
description: Deaths of individuals in jails. Smallest Geographic Unit: county
description: paper and pencil interview (PAPI)
DOI: 10.3886/icpsr34332.v1
title: Federal Justice Statistics Program: Suspects in Federal Criminal Matters Concluded, 2010
title: Version 1

description: The data contain records of suspects in federal criminal matters concluded by United States attorneys or United States magistrates during fiscal year 2010. The data were constructed from the Executive Office for United States Attorneys (EOUSA) Central System file. Records include suspects in criminal matters, and are limited to suspects whose matters were not declined immediately by the United States attorneys. According to the EOUSA, the United States attorneys conduct approximately 95 percent of the prosecutions handled by the Department of Justice. The Central System data contain variables from the original EOUSA files as well as additional analysis variables, or "SAF" variables, that denote subsets of the data. These SAF variables are related to statistics reported in the Compendium of Federal Justice Statistics, Tables 1.2-1.5. Variables containing identifying information (e.g., name, Social Security Number) were replaced with blanks, and the day portions of date fields were also sanitized in order to protect the identities of individuals. These data are part of a series designed by the Urban Institute (Washington, DC) and the Bureau of Justice Statistics. Data and documentation were prepared by the Urban Institute.
description: Datasets: DS1: Federal Justice Statistics Program: Suspects in Federal Criminal Matters Concluded, 2010
description: Suspects in federal criminal matters concluded by United States attorneys or United States magistrates during fiscal year 2010.
DOI: 10.3886/icpsr24233.v2
title: Federal Justice Statistics Program: Offenders Admitted to Prison, 2007
title: Version 2

description: The data contain records of sentenced offenders committed to the custody of the Bureau of Prisons (BOP) during fiscal year 2007. The data include commitments of United States District Court, violators of conditions of release (e.g., parole, probation, or supervised release violators), offenders convicted in other courts (e.g., military or District of Columbia courts), and persons admitted to prison as material witnesses or for purposes of treatment, examination, or transfer to another authority. These data include variables that describe the offender, such as age, race, citizenship, as well as variables that describe the sentences and expected prison terms. The data file contains original variables from the Bureau of Prisons' SENTRY database, as well as "SAF" variables that denote subsets of the data. These SAF variables are related to statistics reported in the Compendium of Federal Justice Statistics, Tables 7.9-7.16. Variables containing identifying information (e.g., name, Social Security Number) were replaced with blanks, and the day portions of date fields were also sanitized in order to protect the identities of individuals. These data are part of a series designed by the Urban Institute (Washington, DC) and the Bureau of Justice Statistics. Data and documentation were prepared by the Urban Institute.
description: Datasets: DS1: Federal Justice Statistics Program: Offenders Admitted to Prison, 2007
description: Offenders in the custody of the United States Bureau of Prisons during fiscal year 2007.
DOI: 10.3886/icpsr24233
title: Federal Justice Statistics Program: Offenders Admitted to Prison, 2007
title: Archival Version

description: The data contain records of sentenced offenders committed to the custody of the Bureau of Prisons (BOP) during fiscal year 2007. The data include commitments of United States District Court, violators of conditions of release (e.g., parole, probation, or supervised release violators), offenders convicted in other courts (e.g., military or District of Columbia courts), and persons admitted to prison as material witnesses or for purposes of treatment, examination, or transfer to another authority. These data include variables that describe the offender, such as age, race, citizenship, as well as variables that describe the sentences and expected prison terms. The data file contains original variables from the Bureau of Prisons' SENTRY database, as well as "SAF" variables that denote subsets of the data. These SAF variables are related to statistics reported in the Compendium of Federal Justice Statistics, Tables 7.9-7.16. Variables containing identifying information (e.g., name, Social Security Number) were replaced with blanks, and the day portions of date fields were also sanitized in order to protect the identities of individuals. These data are part of a series designed by the Urban Institute (Washington, DC) and the Bureau of Justice Statistics. Data and documentation were prepared by the Urban Institute.
description: Datasets: DS1: Federal Justice Statistics Program: Offenders Admitted to Prison, 2007
description: Offenders in the custody of the United States Bureau of Prisons during fiscal year 2007.
DOI: 10.3886/icpsr29421.v2
title: Federal Justice Statistics Program: Charges Filed Against Defendants in Criminal Cases in District Court, 2008 [United States]
title: Version 2

description: The data contain records of charges filed against defendants whose cases were filed by United States attorneys in United States district court during fiscal year 2008. The data are charge-level records, and more than one charge may be filed against a single defendant. The data were constructed from the Executive Office for United States Attorneys (EOUSA) Central Charge file. The charge-level data may be linked to defendant-level data (extracted from the EOUSA Central System file) through the CS_SEQ variable, and it should be noted that some defendants may not have any charges other than the lead charge appearing on the defendant-level record. The Central Charge and Central System data contain variables from the original EOUSA files as well as additional analysis variables, or "SAF" variables, that denote subsets of the data. These SAF variables are related to statistics reported in the Compendium of Federal Justice Statistics. Variables containing identifying information (e.g., name, Social Security Number) were replaced with blanks, and the day portions of date fields were also sanitized in order to protect the identities of individuals. These data are part of a series designed by the Urban Institute (Washington, DC) and the Bureau of Justice Statistics. Data and documentation were prepared by the Urban Institute.
description: Datasets: DS1: Federal Justice Statistics Program: Charges Filed Against Defendants in Criminal Cases in District Court, 2008 [United States]
description: Charges filed against defendants in United States district court during fiscal year 2008.
DOI: 10.7284/150596
title: ADCP (Acoustic Doppler Current Profiler) data collected during research cruise KM2207 using a Hawaii UHDAS instrument system onboard the platform RV Kilo Moana

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/150602
title: Anemometer data collected during research cruise KM2207 using a RMYoung 85106 instrument system onboard the platform RV Kilo Moana

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/150603
title: Anemometer data collected during research cruise KM2207 using a RMYoung 85106 instrument system onboard the platform RV Kilo Moana

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/150600
title: Barometer data collected during research cruise KM2207 using a Vaisala PTB220 instrument system onboard the platform RV Kilo Moana

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/150599
title: Fluorometer data collected during research cruise KM2207 using a WETLabs WETStar instrument system onboard the platform RV Kilo Moana

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/150597
title: Gravimeter data collected during research cruise KM2207 using a Bell BGM-3 instrument system onboard the platform RV Kilo Moana

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/150598
title: Gyrocompass data collected during research cruise KM2207 using a Sperry NAVIGAT X MK 1 instrument system onboard the platform RV Kilo Moana

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/150604
title: INS (Inertial Navigation System) data collected during research cruise KM2207 using a Applanix POS/MV-320 V4 instrument system onboard the platform RV Kilo Moana

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/150595
title: Meteorological Station data collected during research cruise KM2207 using a Hawaii MET-System instrument system onboard the platform RV Kilo Moana

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/150601
title: Meteorological Station data collected during research cruise KM2207 using a Hawaii MET-System instrument system onboard the platform RV Kilo Moana

description: Processed data created by vessel technician during a Field_expedition
DOI: 10.7284/150592
title: SSV (Sound Speed Velocimeter) data collected during research cruise KM2207 using a AML SV&P instrument system onboard the platform RV Kilo Moana

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/150593
title: TSG (Thermosalinograph) data collected during research cruise KM2207 using a SeaBird SBE-45 instrument system onboard the platform RV Kilo Moana

description: Original (unprocessed) data collected during a Field_expedition