cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/icpsr38626.v1
title: Federal Justice Statistics Program: Statutes for Counts of Convictions for Defendants Sentenced Under the Sentencing Reform Act, 2020
title: Version 1

description: These data contain records of statutes for each count of conviction for criminal defendants who were sentenced pursuant to provisions of the Sentencing Reform Act (SRA) of 1984 and reported to the United States Sentencing Commission (USSC) during fiscal year 2020. The data are one of two supplementary files that should be used in conjunction with the primary analysis file, which contains records for all defendants sentenced under the guidelines. These data can be linked to the primary analysis file using the unique identifier variable USSCIDN. The number of records for a defendant in the current data corresponds to the total number of counts of conviction for that defendant, and that total is recorded in the NOCOUNT variable. As an example, if a defendant has five counts of conviction (NOCOUNT=5), he or she will have five records in the current data. As it is possible for defendants to have multiple statutes applying to a single count of conviction, up to three statutes (STA1-STA3) are recorded for each count of conviction. The data were obtained from the United States Sentencing Commission's Office of Policy Analysis' (OPA) Standardized Research Data File. These data are part of a series designed by Abt Associates and the Bureau of Justice Statistics. Data and documentation were prepared by Abt Associates.
description: Datasets: DS1: Federal Justice Statistics Program: Statutes for Counts of Convictions for Defendants Sentenced Under the Sentencing Reform Act, 2020
description: Defendants sentenced pursuant to provisions of the Sentencing Reform Act (SRA) of 1984 and reported to the United States Sentencing Commission during fiscal year 2020.
DOI: 10.5284/1122824
title: Site Data from an Archaeological Evaluation at Cockaynes Lane, Alresford, Essex, May 2019

description: This collection comprises documents, site records, spreadsheets and CAD data from an Archaeological Evaluation at Land North of Cockaynes Lane, Alresford, Essex. The work was undertaken by Archaeology South-East in May 2019.
DOI: 10.15468/dl.5fw2x8
title: Occurrence Download

description: A dataset containing 177889 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-48.58178 -27.85956,-48.28363 -27.85956,-48.28363 -27.36572,-48.58178 -27.36572,-48.58178 -27.85956))",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 177889 records from 277 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035612-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25345/c5f18ss55
title: MassIVE MSV000095992 - PEPPI-SP3: Robust and Simple Sample Prefractionation Workflow for Top-Down Proteomics
title: Precise prefractionation of proteome samples is a potent method for realizing in depth analysis in top-down proteomics. PEPPI MS (Passively Eluting Proteins from Polyacrylamide gels as Intact species for MS), a gel-based sample fractionation method, enables high-resolution proteome fractionation based on molecular weight by highly efficient extraction of proteins from polyacrylamide gels after SDS PAGE separation. In this study, we developed a complete, robust, and simple sample preparation workflow named PEPPI SP3 for top down proteomics by combining PEPPI MS with the magnetic bead-based protein purification approach used in SP3.
DOI: 10.3886/icpsr24108.v1
title: Federal Justice Statistics Program: Defendants Sentenced Under the Sentencing Reform Act, 2000 [United States]
title: Version 1

description: These data contain records of criminal defendants who were sentenced pursuant to provisions of the Sentencing Reform Act (SRA) of 1984 and reported to the United States Sentencing Commission (USSC) during fiscal year 2000. It is estimated that over 90 percent of felony defendants in the federal criminal justice system are sentenced pursuant to the SRA of 1984. The data were obtained from the United States Sentencing Commission's Office of Policy Analysis' (OPA) Standardized Research Data File. The Standardized Research Data File consists of variables from the Monitoring Department's database, which is limited to those defendants whose records have been furnished to the USSC by United States district courts and United States magistrates, as well as variables created by the OPA specifically for research purposes. The data include variables from the Judgement and Conviction (J and C) order submitted by the court, background and guideline information collected from the Presentencing Report (PSR), and the report on sentencing hearing in the Statement of Reasons (SOR). These data contain detailed information such as the guideline base offense level, offense level adjustments, criminal history, departure status, statement of reasons given for departure, and basic demographic information. These data are the primary analysis file and include only statute, guideline computation, and adjustment variables for the most serious offense of conviction. 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: 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: Created variable labels and/or value labels..
description: Datasets: 
 
 DS1: Dataset
description: Federal Justice Statistics Program Data Series
description: Defendants sentenced pursuant to provisions of the Sentencing Reform Act (SRA) of 1984 and reported to the United States Sentencing Commission during fiscal year 2000.
DOI: 10.3886/icpsr24108.v2
title: Federal Justice Statistics Program: Defendants Sentenced Under the Sentencing Reform Act, 2000 [United States]
title: Version 2

description: These data contain records of criminal defendants who were sentenced pursuant to provisions of the Sentencing Reform Act (SRA) of 1984 and reported to the United States Sentencing Commission (USSC) during fiscal year 2000. It is estimated that over 90 percent of felony defendants in the federal criminal justice system are sentenced pursuant to the SRA of 1984. The data were obtained from the United States Sentencing Commission's Office of Policy Analysis' (OPA) Standardized Research Data File. The Standardized Research Data File consists of variables from the Monitoring Department's database, which is limited to those defendants whose records have been furnished to the USSC by United States district courts and United States magistrates, as well as variables created by the OPA specifically for research purposes. The data include variables from the Judgement and Conviction (J and C) order submitted by the court, background and guideline information collected from the Presentencing Report (PSR), and the report on sentencing hearing in the Statement of Reasons (SOR). These data contain detailed information such as the guideline base offense level, offense level adjustments, criminal history, departure status, statement of reasons given for departure, and basic demographic information. These data are the primary analysis file and include only statute, guideline computation, and adjustment variables for the most serious offense of conviction. 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 Sentenced Under the Sentencing Reform Act, 2000 [United States]
description: Defendants sentenced pursuant to provisions of the Sentencing Reform Act (SRA) of 1984 and reported to the United States Sentencing Commission during fiscal year 2000.
DOI: 10.5281/zenodo.13862245
title: National and Kapodistrian University of Athens LC-TIMS-HRMS Target List
DOI: 10.5281/zenodo.13862246
title: National and Kapodistrian University of Athens LC-TIMS-HRMS Target List
DOI: 10.5281/zenodo.13862409
title: PP-recyclates characterization after different sampling and recycling strategies – XRF data

description: The purpose of this analysis is the development of an efficient sampling protocol for plastic waste streams after upcycling or the treatment with scCO2 and solvent-based recycling.

Taking into consideration the morphology of the recyclates after upcycling, the samples were prepared based on the model waste (MW) approaches. The recyclates after upcycling are in the form of pellets, therefore the MW approaches were selected in which extrusion processes were used.

Taking into consideration the morphology of the recyclates after scCO2, the samples were prepared based on the model waste (MW) approaches. The recyclates after scCO2 treatment are in the form of flakes, however due to the high heterogeneity of the material and possible low accuracy of analytical evaluation, an extra step of grinding was added to increase their representativeness. 

Taking into consideration the morphology of the recyclates after solvent-based recycling, the samples were prepared based on the model waste (MW) approaches. The recyclates after solvent-based recycling treatment are in the form of powder, therefore the MW approaches were selected in which cryogenic grinding processes were used.

The sampling approaches from the (MW) were applied to the recyclates, and each was assessed via various analytical techniques.

This dataset contains raw XRF data of the recyclate from the different sampling approaches, such as:

•       Excel files containing XRF data of the recyclates, wherein the approach was based on upcycling (compounding), supercritical CO2 treatment and solvent-based recycling treatment with a measurement protocol



One Readme file containing further information about the methodology and nomenclature 


This dataset was generated in the framework of PRecycling Horizon Europe project (101058670)
DOI: 10.5281/zenodo.13862410
title: PP-recyclates characterization after different sampling and recycling strategies – XRF data

description: The purpose of this analysis is the development of an efficient sampling protocol for plastic waste streams after upcycling or the treatment with scCO2 and solvent-based recycling.

Taking into consideration the morphology of the recyclates after upcycling, the samples were prepared based on the model waste (MW) approaches. The recyclates after upcycling are in the form of pellets, therefore the MW approaches were selected in which extrusion processes were used.

Taking into consideration the morphology of the recyclates after scCO2, the samples were prepared based on the model waste (MW) approaches. The recyclates after scCO2 treatment are in the form of flakes, however due to the high heterogeneity of the material and possible low accuracy of analytical evaluation, an extra step of grinding was added to increase their representativeness. 

Taking into consideration the morphology of the recyclates after solvent-based recycling, the samples were prepared based on the model waste (MW) approaches. The recyclates after solvent-based recycling treatment are in the form of powder, therefore the MW approaches were selected in which cryogenic grinding processes were used.

The sampling approaches from the (MW) were applied to the recyclates, and each was assessed via various analytical techniques.

This dataset contains raw XRF data of the recyclate from the different sampling approaches, such as:

•       Excel files containing XRF data of the recyclates, wherein the approach was based on upcycling (compounding), supercritical CO2 treatment and solvent-based recycling treatment with a measurement protocol



One Readme file containing further information about the methodology and nomenclature 


This dataset was generated in the framework of PRecycling Horizon Europe project (101058670)
DOI: 10.5281/zenodo.11122387
title: Spleen STARmap dataset of Enhancing immunity with a transient mRNA intervention

description: Here is the STARmap dataset of Spleen section included in "Enhancing immunity with a transient mRNA intervention" from Friedrich et al.
DOI: 10.5281/zenodo.13731856
title: Data for 'Post-disturbance recovery drives 21st century vegetation shifts in the Boreal forest in a dynamic vegetation model'

description: This is the database containing all the LPJ-GUESS output data used in the paper. For LPJ-GUESS model code, refer to https://zenodo.org/record/8065737. For data processing refer to https://github.com/lucialayr/borealRecovery 

 

If you are interested in the raw data, please contact me.
DOI: 10.5281/zenodo.13731857
title: Data for 'Post-disturbance recovery drives 21st century vegetation shifts in the Boreal forest in a dynamic vegetation model'

description: This is the database containing all the LPJ-GUESS output data used in the paper. For LPJ-GUESS model code, refer to https://zenodo.org/record/8065737. For data processing refer to https://github.com/lucialayr/borealRecovery 

 

If you are interested in the raw data, please contact me.
DOI: 10.5281/zenodo.13862481
title: 1/48° simulation for Nasser et al. 2023

description: This repository contains the NEMO simulations used in the study by Nasser et al. (2023) (https://doi.org/10.1029/2022MS003594). The 1/48° resolution simulations are available here, while the remaining simulations with the NEMO kernel can be accessed at https://doi.org/10.5281/zenodo.7480139.
DOI: 10.5281/zenodo.13862482
title: 1/48° simulation for Nasser et al. 2023

description: This repository contains the NEMO simulations used in the study by Nasser et al. (2023) (https://doi.org/10.1029/2022MS003594). The 1/48° resolution simulations are available here, while the remaining simulations with the NEMO kernel can be accessed at https://doi.org/10.5281/zenodo.7480139.
DOI: 10.5284/1122827
title: Site Data from an Archaeological Evaluation at Phase 1 Comberton Road, Kidderminster, October to November 2021

description: This collection comprises images, databases, spreadsheets, reports, site records and GIS data from an archaeological evaluation at Phase 1 Comberton Road, Kidderminster. The work was undertaken by Oxford Archaeology (South) between October and November 2021. A total of 50 trenches were investigated on site, of which 12 trenches were found to contain archaeological remains.
DOI: 10.3886/icpsr38643.v1
title: Federal Justice Statistics Program: Statutes for Counts of Convictions for Defendants Sentenced Under the Sentencing Reform Act, 2021
title: Version 1

description: These data contain records of statutes for each count of conviction for criminal defendants who were sentenced pursuant to provisions of the Sentencing Reform Act (SRA) of 1984 and reported to the United States Sentencing Commission (USSC) during fiscal year 2021. The data are one of two supplementary files that should be used in conjunction with the primary analysis file, which contains records for all defendants sentenced under the guidelines. These data can be linked to the primary analysis file using the unique identifier variable USSCIDN. The number of records for a defendant in the current data corresponds to the total number of counts of conviction for that defendant, and that total is recorded in the NOCOUNT variable. As an example, if a defendant has five counts of conviction (NOCOUNT=5), he or she will have five records in the current data. As it is possible for defendants to have multiple statutes applying to a single count of conviction, up to three statutes (STA1-STA3) are recorded for each count of conviction. The data were obtained from the United States Sentencing Commission's Office of Policy Analysis' (OPA) Standardized Research Data File. These data are part of a series designed by Abt Associates and the Bureau of Justice Statistics. Data and documentation were prepared by Abt Associates.
description: Datasets: DS1: Federal Justice Statistics Program: Statutes for Counts of Convictions for Defendants Sentenced Under the Sentencing Reform Act, 2021
description: Defendants sentenced pursuant to provisions of the Sentencing Reform Act (SRA) of 1984 and reported to the United States Sentencing Commission during fiscal year 2021.
DOI: 10.5281/zenodo.13861691
title: Line parameter database H2O self-broadened 700-2000 cm-1

description: DLR line parameter database for self-broadened H2O in the 700 – 2000 cm-1 region.

New self-broadened H2O measurements and analysis were performed with the aim of determining the H2O self-continuum. Zenodo serves as a repository for the line parameter database.

Measurements in the spectral range of 700 – 2000 cm⁻¹ were conducted using a Bruker 125HR Interferometer with an attached multi-reflection cell. The spectral resolution was 0.003 cm⁻¹. Measurements were corrected regarding the wavenumber axis (→ N2O reference lines [1]), detector non-linearity, thermal self-radiation, and the instrumental line profile function (→ LINEFIT [2]). For the preparation of the parameter database, measurements were analyzed using pure H₂O pressures between 0.003 – 20 mbar, path lengths between 14 – 161 m, and temperatures of 294.2 K and 353.2 K. The line profile function of a quadratic speed-dependent Voigt which was extended for Rosenkranz line mixing was used. The following line parameters were determined for the four most abundant H₂O isotopologues H216O (main isotopologue), H218O, H217O, HD16O:




Line position
ν0


Line intensity
S


Pressure self-broadening parameter
γ0,self


Speed-dependence parameter of pressure self-broadening
γ2,self


Temperature exponent of pressure self-broadening
nself


Pressure self-shift parameter
δ0,self


Temperature dependence of pressure self-shift
δT0,self


First order Rosenkranz self-line-mixing parameter @ 296 K
Yself


Temperature dependence of first order Rosenkranz self-line-mixing
YT1self




 

 

Provided files:

 

Readme for database and provided files:

DLR_Database_Pure_H2O_700-2000_cm-1- Readme.docx

Detailed, commented version:

DLR_Database_Pure_H2O_700-2000_cm-1.xlsx

Version in extended HITRAN format:

DLR_Database_Pure_H2O_700-2000_cm-1.hit

List of occurring HITRAN references:

DLR_Database_Pure_H2O_700-2000_cm-1_HITRAN_references.html
DOI: 10.5281/zenodo.13861692
title: Line parameter database H2O self-broadened 700-2000 cm-1

description: DLR line parameter database for self-broadened H2O in the 700 – 2000 cm-1 region.

New self-broadened H2O measurements and analysis were performed with the aim of determining the H2O self-continuum. Zenodo serves as a repository for the line parameter database.

Measurements in the spectral range of 700 – 2000 cm⁻¹ were conducted using a Bruker 125HR Interferometer with an attached multi-reflection cell. The spectral resolution was 0.003 cm⁻¹. Measurements were corrected regarding the wavenumber axis (→ N2O reference lines [1]), detector non-linearity, thermal self-radiation, and the instrumental line profile function (→ LINEFIT [2]). For the preparation of the parameter database, measurements were analyzed using pure H₂O pressures between 0.003 – 20 mbar, path lengths between 14 – 161 m, and temperatures of 294.2 K and 353.2 K. The line profile function of a quadratic speed-dependent Voigt which was extended for Rosenkranz line mixing was used. The following line parameters were determined for the four most abundant H₂O isotopologues H216O (main isotopologue), H218O, H217O, HD16O:




Line position
ν0


Line intensity
S


Pressure self-broadening parameter
γ0,self


Speed-dependence parameter of pressure self-broadening
γ2,self


Temperature exponent of pressure self-broadening
nself


Pressure self-shift parameter
δ0,self


Temperature dependence of pressure self-shift
δT0,self


First order Rosenkranz self-line-mixing parameter @ 296 K
Yself


Temperature dependence of first order Rosenkranz self-line-mixing
YT1self




 

 

Provided files:

 

Readme for database and provided files:

DLR_Database_Pure_H2O_700-2000_cm-1- Readme.docx

Detailed, commented version:

DLR_Database_Pure_H2O_700-2000_cm-1.xlsx

Version in extended HITRAN format:

DLR_Database_Pure_H2O_700-2000_cm-1.hit

List of occurring HITRAN references:

DLR_Database_Pure_H2O_700-2000_cm-1_HITRAN_references.html
DOI: 10.15468/dl.57jkbc
title: Occurrence Download

description: A dataset containing 138430 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Vespa velutina Lepeletier, 1836"
 ]
}

 The dataset includes 138430 records from 858 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035601-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.27135810
title: Supplemental Files Raff HPA Pilots Submit

description: Supplemental Tables 1-4 showing individual data and statistics from study.
DOI: 10.15468/dl.grpr45
title: Occurrence Download

description: A dataset containing 425 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Continent is Europe",
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "DatasetKey is UK Butterfly Monitoring Scheme (UKBMS)",
 "Geometry POLYGON((-1.51568 52.89618,-1.43857 52.89618,-1.43857 52.9438,-1.51568 52.9438,-1.51568 52.89618))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is 2020"
 ]
}

 The dataset includes 425 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035632-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vcwvsr
title: Occurrence Download

description: A dataset containing 229822 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tracheophyta",
 "Country is Greenland",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 },
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 }
 ]
}

 The dataset includes 229822 records from 189 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035625-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/ccv7ds7
title: CCDC 781689: Experimental Crystal Structure Determination

description: Related Article: O.B.Kazakova, E.F.Khusnutdinova, A.N.Lobov, T.I.Zvereva, Yu.V.Legostaeva, G.A.Tolstikov, V.N.Khrustalev|2011|Izv.Akad.Nauk SSSR,Ser.Khim.||1753|
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.