cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/icpsr24103
title: Federal Justice Statistics Program: Defendants in Federal Criminal Cases -- Terminated, 2000 [United States]
title: Archival Version

description: The data contain records of defendants in federal criminal cases terminated in United States District Court during fiscal year 2000. 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 in Federal Criminal Cases -- Terminated, 2000 [United States]
description: Defendants in federal criminal cases terminated in United States District Court during fiscal year 2000.
DOI: 10.3886/icpsr24104.v2
title: Federal Justice Statistics Program: Charges Filed Against Defendants in Criminal Cases in District Court, 2000 [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 2000. 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, 2000 [United States]
description: Charges filed against defendants in United States district court during fiscal year 2000.
DOI: 10.3886/icpsr24107.v3
title: Federal Justice Statistics Program: Arrests and Bookings for Federal Offenses, 2000 [United States]
title: Version 3

description: The data contain records of arrests and bookings for federal offenses in the United States during fiscal year 2000. The data were constructed from the United States Marshals Service (USMS) Prisoner Tracking System database. Records include arrests made by federal law enforcement agencies (including the USMS), state and local agencies, and self-surrenders. Offenders arrested for federal offenses are transferred to the custody of the USMS for processing, transportation, and detention. The Prisoner Tracking System contains data on all offenders within the custody of the USMS. The data file contains variables from the original USMS 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 1.1-1.3. 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: Arrests and Bookings for Federal Offenses, 2000 [United States]
description: Federal offenders in the custody of the United States Marshals Service during fiscal year 2000.
description: 08-28-2014 This study has been deaccessioned and is no longer available from ICPSR or NACJD.
DOI: 10.48567/r409-cn19
title:  Year of Polar Prediction in the Southern Hemisphere: WRF forecast model plain text output from AMPS, 2022.
DOI: 10.25573/data.22329211.v1
title: Self-Reflection Annotated Bibliography

description: The Wolf Who Walks in Two Worlds guidebook is a synthesis of design discussions existing literature. This annotated bibliography on self-reflection was foundational in the development of the guidebook, and can also be helpful resource or the creation for other resources.
DOI: 10.6084/m9.figshare.22329232
title: Nuclear Engineering Indicators - PMS

description: Our work aims to create a framework to analyze the organizational effectiveness of nuclear utilities. From the perspective of operational excellence, effective organizations attain “efficiency” and “reliability.” Efficiency results in increased levels of asset availability, and reliability results in a reduction in variation and disruption experienced by operational and maintenance processes. We assess efficiency and reliability from the “key performance indicators (KPIs) perspective,” critical to operational and maintenance assessment programs in nuclear utilities. KPIs are measurable performance indicators that are specific to a particular objective and are tracked over time. They serve as targets for teams to strive towards, milestones to track progress, and insights that aid decision-making across the organization (Bishop, 2018). We present KPIs from a causative standpoint of “leading” and “lagging” indicators. The former, often related to activities undertaken by employees, can predict the probable outcome of work in progress and help identify if any immediate corrective actions are required. While the latter refers to results indicators gathered only after an event has occurred, such as categories of financial and market-oriented indicators. Two sets of indicators may be connected by cause and effect (leading to pointing out something about lagging), but it does not mean a hierarchy exists; hence a KPI hierarchy was developed, taking into consideration similarities of indicators in order to relate the KPI into levels. The use of a KPI hierarchy in nuclear entities enables decision-makers to comprehend the significance and immediacy of addressing changes in specific KPI levels. Additionally, this study employed Canonical Correlation Analysis (CCA) to determine the quantitative causal relationship between each KPI both within and across different levels, thereby allowing for the identification of the impact of each level and KPI on the INPO Index, a performance reference indicator utilized in nuclear utilities, from a systems perspective. The findings of this analysis were compared with those of a multiple regression analysis (MRA). The advantage of having a systems approach is that the impacts will not be assessed from a single streamlined sequence but seen as a whole. We provide results or developmental updates for each of these steps. The data and information cited in this report are from a nuclear entity that we abbreviate as MNU (Major Nuclear Utility) in this document. Data treatment and a time series analysis were necessary to adjust the provided data and perform further analysis as MRA and CCA.
DOI: 10.6084/m9.figshare.22329232.v1
title: Nuclear Engineering Indicators - PMS

description: Our work aims to create a framework to analyze the organizational effectiveness of nuclear utilities. From the perspective of operational excellence, effective organizations attain “efficiency” and “reliability.” Efficiency results in increased levels of asset availability, and reliability results in a reduction in variation and disruption experienced by operational and maintenance processes. We assess efficiency and reliability from the “key performance indicators (KPIs) perspective,” critical to operational and maintenance assessment programs in nuclear utilities. KPIs are measurable performance indicators that are specific to a particular objective and are tracked over time. They serve as targets for teams to strive towards, milestones to track progress, and insights that aid decision-making across the organization (Bishop, 2018). We present KPIs from a causative standpoint of “leading” and “lagging” indicators. The former, often related to activities undertaken by employees, can predict the probable outcome of work in progress and help identify if any immediate corrective actions are required. While the latter refers to results indicators gathered only after an event has occurred, such as categories of financial and market-oriented indicators. Two sets of indicators may be connected by cause and effect (leading to pointing out something about lagging), but it does not mean a hierarchy exists; hence a KPI hierarchy was developed, taking into consideration similarities of indicators in order to relate the KPI into levels. The use of a KPI hierarchy in nuclear entities enables decision-makers to comprehend the significance and immediacy of addressing changes in specific KPI levels. Additionally, this study employed Canonical Correlation Analysis (CCA) to determine the quantitative causal relationship between each KPI both within and across different levels, thereby allowing for the identification of the impact of each level and KPI on the INPO Index, a performance reference indicator utilized in nuclear utilities, from a systems perspective. The findings of this analysis were compared with those of a multiple regression analysis (MRA). The advantage of having a systems approach is that the impacts will not be assessed from a single streamlined sequence but seen as a whole. We provide results or developmental updates for each of these steps. The data and information cited in this report are from a nuclear entity that we abbreviate as MNU (Major Nuclear Utility) in this document. Data treatment and a time series analysis were necessary to adjust the provided data and perform further analysis as MRA and CCA.
DOI: 10.3886/icpsr24111.v2
title: Federal Justice Statistics Program: Offenders Admitted to Prison, 2000
title: Version 2

description: The data contain records of sentenced offenders committed to the custody of the Bureau of Prisons (BOP) during fiscal year 2000. 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, 2000
description: Offenders in the custody of the United States Bureau of Prisons during fiscal year 2000.
DOI: 10.3886/icpsr24111
title: Federal Justice Statistics Program: Offenders Admitted to Prison, 2000
title: Archival Version

description: The data contain records of sentenced offenders committed to the custody of the Bureau of Prisons (BOP) during fiscal year 2000. 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, 2000
description: Offenders in the custody of the United States Bureau of Prisons during fiscal year 2000.
DOI: 10.6084/m9.figshare.19825249
title: Dictionary_Genus

description: Genus 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.19825249.v1
title: Dictionary_Genus

description: Genus 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.22321126
title: ECM_Proteins_PeptideData.xlsx

description: This is a proteomics set consisting of peptides identified to proteins (using Uniprot) that are related to extracellular matrix proteins. The objective of the experiment was to evaluate the effect of two spinal cord stimulation (SCS) treatments on the ECM-related protein expression levels in the ipsilateral dorsal quadrant of stimulated spinal cord (L1-L2 vertebral level) of animals that were subjected to the spared nerve injury (SNI) model of neuroptahic pain. Proteomics were performed by Cell Signaling Techology (Danvers, MA, USA). Data from four experimental groups were compared. The two SCS treatments groups (DTM and LR), a treatment sham group (No-SCS) and a group of uninjured animals (No-SNI). Protein was extracted from tissues and triptic peptides tagged using a TMT 10-plex system. They were run in parallel with other samples not relevant to this study. A tagged-peptide mix was used in the spectral runs for internal control. The data set contains the gene name, protein short name, protein description and the normalized signal to noise for each of the peptide's mass spectral peak.
DOI: 10.5281/zenodo.7760495
title: Data for Macroalgae exhibit diverse responses to human disturbances on coral reefs

description: Percent cover of macroalgae data used in the analyses described in the Global Change Biology publication, <em>Macroalgae exhibit diverse responses to human disturbances on coral reefs (</em>DOI: 10.1111/GCB.16694)
DOI: 10.7281/t1rn35s8/2fy3wc
title: Figure_6.zip

description: This zip file contains viscoelasticity measurements of hydrogels in the folders 'Rheology' and 'Viscoelasticity'; graphs of levels of expression of MT1-MMP, MMP-1, MMP-2, Hyal 2, Hyal 3, TIMP-1, TIMP-2, and TIMP-3 from PCR analysis in folder 'MMPs and Hyal', 'qRT-PCR', and 'TIMPs images'; images of vascular morphogenesis in ECFCs under presence/absence of TIMP-1, TIMP-2, TIMP-2 in folder 'siRNA and Blocking', and finally images from siRNA suppression studies of MT1-MMP, Hyal-2, and Hyal-3.
DOI: 10.7281/t1rn35s8/ljzfvy
title: Figure_7.zip

description: This zip file contains images of hydrogels implanted into mice after 2 weeks, sections with CD31 immunostain, and sections with α-SMA immunostain.
DOI: 10.7281/t1rn35s8/mw0dwb
title: Figure_S3.zip

description: This contains a graph of the percentage of acrylate modification of AHA hydrogels (sup. figure 3A) and an image of one of the hydrogels used in this study (sup. Figure 3B).
DOI: 10.7281/t1rn35s8/us4dk6
title: Figure_5.zip

description: This zip file contains the results of PCR analysis; 2D and 3D images from siRNA suppression of integrin αvβ3, α5β1, and α2β1; and confocal microscopy images of immunlabeled cells.
DOI: 10.7281/t1rn35s8/4gvtw5
title: Supplementary_Figures_SEM.zip

description: Scanning electron microscope images that show remodeling of hydrogels by ECFCs.
DOI: 10.7281/t1rn35s8/eyf5q5
title: Figure_2-4.zip

description: This zip file contains images on the dependence of vacuole and lumen formation to RGD and MMP-sensitive crosslinker concentrations (Figure 2) and images of ECFC creation and maturation over the course of three days (Figure 3-4).
DOI: 10.7281/t1rn35s8/i9buzu
title: Documentation.zip

description: This zip file contains a text file which lists abbreviations and acronyms used in this study. It also contains an Excel file that provides additional information on the properties of the folders, sub-folders and in some cases, individual files.
DOI: 10.7281/t1rn35s8/ql2ae9
title: Supplementary_Figure_VEGF_release.zip

description: Graphs and raw data of cumulative release of vascular endothelial growth factor (VEGF).
DOI: 10.5281/zenodo.7760494
title: Data for Macroalgae exhibit diverse responses to human disturbances on coral reefs

description: Percent cover of macroalgae data used in the analyses described in the Global Change Biology publication, <em>Macroalgae exhibit diverse responses to human disturbances on coral reefs (</em>DOI: 10.1111/GCB.16694)
DOI: 10.48567/xzwx-at49
title: Year of Polar Prediction in the South Hemisphere: Vernadsky Station observational data, 2022.
DOI: 10.5281/zenodo.7764368
title: Evaluating impacts of non-native submerged aquatic vegetation on native nekton

description: These data accompany the publication of the same name. We performed a quantitative meta-analysis to quantify impacts of non-native submerged aquatic vegetation on native crabs, fishes, and shrimps in coastal, estuarine, and marine systems. We found that nekton abundance, species richness, and biomass were the most assessed metrics of nekton performance. We extracted data from 35 studies and evaluated 11 response metrics related to inter-specific facilitation, restricting our analysis to studies that compared at least one of these metrics in nekton from co-occurring native and non-native SAV habitats in marine, coastal, or estuarine systems.
DOI: 10.15468/dl.fytzsa
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query: { "TaxonKey" : [ "is Rumicastrum monogynum (Poelln.) Carolin" ] } The dataset includes 0 records from 0 constituent datasets:
DOI: 10.48567/9w9f-2h80
title: Year of Polar Prediction in the Southern Hemisphere: WRF forecast model GRIB file output from AMPS, 2022.
DOI: 10.5067/n5dd9c13a0lx
title: CAR DiscoverAQ BRDF Measurements V2
DOI: 10.15468/dl.djkmdp
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query: { "TaxonKey" : [ "is Rumicastrum morrisae (Goy) Carolin" ] } The dataset includes 0 records from 0 constituent datasets:
DOI: 10.6084/m9.figshare.22303441
title: reflective diary

description: the data is a reflecitve diary of PhD students' about their perception of PLE-based writing for publication platform.
DOI: 10.5281/zenodo.7764266
title: Dataset in support of "Laboratory wave and stress measurements quantify the aerodynamic sheltering in extreme winds" by Tan et al. (2023, JGR: Oceans)

description: <strong>Data introduction:</strong> There are three datasets used in this research: dataset 1 from Wind-Only (WO) experiment, dataset 2 from JONSWAP experiment with 10-cm significant wave height (J10), and dataset 3 from monochromatic wave experiment with 7.5-cm amplitude (M7.5). Each dataset contains quality-controlled data of the respective experiment mentioned above. The data files are in the mat (MATLAB) format. There are 9 mat files in each dataset, and each file represents data collected under a specific wind forcing condition, with the fan frequency in the 10-50 Hz range with 5 Hz interval. Each file contains four variables: <em>seg</em> (water elevation time series collected by the wave-wire with the units of <em>m</em>, demeaned and detrended), <em>U</em> (along-tank, downwind component of wind sampled by the IRGASON anemometer with the units of <em>m/s</em>), <em>V</em> (cross-tank component of wind sampled by the IRGASON anemometer with the units of <em>m/s</em>), and <em>W</em> (vertical component of wind collected by the IRGASON anemometer with the units of m/s). All four variables were collected at a sampling frequency of 20 Hz.
description: {"references": ["Laboratory wave and stress measurements quantify the1 aerodynamic sheltering in extreme winds by Tan et al. (2023, JGR: Oceans, In Press)"]}
DOI: 10.5281/zenodo.7764265
title: Dataset in support of "Laboratory wave and stress measurements quantify the aerodynamic sheltering in extreme winds" by Tan et al. (2023, JGR: Oceans)

description: <strong>Data introduction:</strong> There are three datasets used in this research: dataset 1 from Wind-Only (WO) experiment, dataset 2 from JONSWAP experiment with 10-cm significant wave height (J10), and dataset 3 from monochromatic wave experiment with 7.5-cm amplitude (M7.5). Each dataset contains quality-controlled data of the respective experiment mentioned above. The data files are in the mat (MATLAB) format. There are 9 mat files in each dataset, and each file represents data collected under a specific wind forcing condition, with the fan frequency in the 10-50 Hz range with 5 Hz interval. Each file contains four variables: <em>seg</em> (water elevation time series collected by the wave-wire with the units of <em>m</em>, demeaned and detrended), <em>U</em> (along-tank, downwind component of wind sampled by the IRGASON anemometer with the units of <em>m/s</em>), <em>V</em> (cross-tank component of wind sampled by the IRGASON anemometer with the units of <em>m/s</em>), and <em>W</em> (vertical component of wind collected by the IRGASON anemometer with the units of m/s). All four variables were collected at a sampling frequency of 20 Hz.
description: {"references": ["Laboratory wave and stress measurements quantify the1 aerodynamic sheltering in extreme winds by Tan et al. (2023, JGR: Oceans, In Press)"]}
DOI: 10.5281/zenodo.7764657
title: Dataset for "Species diversity and molecular characterization of Alternaria section Alternaria isolates collected mainly from cereal crops in Canada" by Jeremy R. Dettman, Quinn Eggertson, and Natalie E. Kim

description: Dataset consists of three files, each containing aligned nucleotide sequences from 559 Alternaria strains. The three sequenced loci are ASA-10, ASA-19, and rpb2. Strain names are stated in the header of each sequence.