cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7418936
title: Seeing Through the "Science Eyes" of the ExoMars Rover - Supplementary Material

description: Simulated views from ExoMars PanCam instrument to assist operations planning. Described in more detail in the linked journal article.
DOI: 10.5281/zenodo.7418935
title: Seeing Through the "Science Eyes" of the ExoMars Rover - Supplementary Material

description: Simulated views from ExoMars PanCam instrument to assist operations planning. Described in more detail in the linked journal article.
DOI: 10.5281/zenodo.7304357
title: Chemical imaging data collected on small wood cubes after impregnation-treatment with phenol formaldehyde resin

description: This dataset contains UV microspectrophotometry (UMSP) and near infrared (NIR) imaging data from the following publication: Altgen M., Awais M. Altgen D., Klüppel A., Koch G., Mäkelä M., Olbrich A., Rautkari L. (2022) Chemical imaging to reveal the resin distribution in impregnation-treated wood at different spatial scales. Materials & Design, DOI: https://doi.org/10.1016/j.matdes.2022.111481. The data was measured on small beech wood cubes (15x15x15 mm<sup>3</sup>) that were impregnation-treated with a low molecular weight phenol formaldehyde resin. Experimental details can be found in the publication. The file “NIR sample IDs with weight and dimensional changes.csv” contains the sample IDs as well as the weight percent gains and dimensional changes caused by the resin treatment of each sample in the dataset. To generate the NIR image files, a region of interest of 881 x 384 pixels was selected from the raw image files to produce an image that contains the sample surrounded by background. The spectral data was corrected using the calibration reflectance target values and then converted to absorbance. Each NIR image is stored in a separate MATLAB file (.mat) with the sample ID as the file name. The file "UMSP sample IDs.csv" contains the sample IDs of the UMSP images. The folder "UMSP image profiles.zip" contains the corresponding UMSP image profiles, which are stored as excel files (.xlsx) with the sample IDs as file names. The files contain the absorbance at 278 nm per pixel with a pixel resolution of 0.25 x 0.25 µm<sup>2</sup>.
DOI: 10.6084/m9.figshare.21648506.v6
title: Supporting Information of Computational results for Experimental and Theoretical Elucidation of SPAAC Kinetics for Strained Alkyne-Containing Cycloparaphenylenes

description: Supporting Information of Computational results for Experimental and Theoretical Elucidation of SPAAC Kinetics for Strained Alkyne-Containing Cycloparaphenylenes
DOI: 10.5281/zenodo.7304356
title: Chemical imaging data collected on small wood cubes after impregnation-treatment with phenol formaldehyde resin

description: This dataset contains UV microspectrophotometry (UMSP) and near infrared (NIR) imaging data from the following publication: Altgen M., Awais M. Altgen D., Klüppel A., Koch G., Mäkelä M., Olbrich A., Rautkari L. (2022) Chemical imaging to reveal the resin distribution in impregnation-treated wood at different spatial scales. Materials & Design, DOI: https://doi.org/10.1016/j.matdes.2022.111481. The data was measured on small beech wood cubes (15x15x15 mm<sup>3</sup>) that were impregnation-treated with a low molecular weight phenol formaldehyde resin. Experimental details can be found in the publication. The file “NIR sample IDs with weight and dimensional changes.csv” contains the sample IDs as well as the weight percent gains and dimensional changes caused by the resin treatment of each sample in the dataset. To generate the NIR image files, a region of interest of 881 x 384 pixels was selected from the raw image files to produce an image that contains the sample surrounded by background. The spectral data was corrected using the calibration reflectance target values and then converted to absorbance. Each NIR image is stored in a separate MATLAB file (.mat) with the sample ID as the file name. The file "UMSP sample IDs.csv" contains the sample IDs of the UMSP images. The folder "UMSP image profiles.zip" contains the corresponding UMSP image profiles, which are stored as excel files (.xlsx) with the sample IDs as file names. The files contain the absorbance at 278 nm per pixel with a pixel resolution of 0.25 x 0.25 µm<sup>2</sup>.
DOI: 10.5523/bris.14zfc07k0co9c2f2rho04ex9uw
title: Data for: How building layout properties influence pedestrian route choice and route recall

description: Data associated with the manuscript: "How building layout properties influence pedestrian route choice and route recall" in Transportmetrica A: Transport Science. This dataset contains information on the movement of human participants and their answers to some questions inside a two-dimensional virtual environment simulating different building layouts. Please refer to the associated publication for details on the study and data analysis.
DOI: 10.5281/zenodo.7307383
title: Chemical imaging data collected on wood board sections after impregnation-treatment with phenol formaldehyde resin

description: This dataset contains UV microspectrophotometry (UMSP) and near infrared (NIR) imaging data from the following publication: Altgen M., Awais M. Altgen D., Klüppel A., Koch G., Mäkelä M., Olbrich A., Rautkari L. (2022) Chemical imaging to reveal the resin distribution in impregnation-treated wood at different spatial scales. Materials & Design, DOI: https://doi.org/10.1016/j.matdes.2022.111481. The data was obtained from beech wood board sections (75x15x25 mm<sup>3</sup>) that were impregnation-treated with a low molecular weight phenol formaldehyde resin. Experimental details can be found in the publication. The file “NIR sample IDs with weight and dimensional changes.csv” contains the sample IDs and the weight percent gains caused by the resin treatment of each sample in the dataset. To generate the NIR image files, regions of interest of 881 x 384 pixels (subsets a,b,c,d) or 2401 x 375 pixels were selected from the raw image files to produce an image that contains the sample surrounded by background. The spectral data was corrected using the calibration reflectance target values and then converted to absorbance. Each NIR image is stored in a separate MATLAB file (.mat) with the sample ID as the file name. The file "UMSP sample IDs.csv" contains the sample IDs of the UMSP images. The folder "UMSP image profiles.zip" contains the corresponding UMSP image profiles, which are stored as excel files (.xlsx) with the sample IDs as file names. The files contain the absorbance at 278 nm per pixel with a pixel resolution of 0.25 x 0.25 µm<sup>2</sup>.
DOI: 10.5281/zenodo.7307382
title: Chemical imaging data collected on wood board sections after impregnation-treatment with phenol formaldehyde resin

description: This dataset contains UV microspectrophotometry (UMSP) and near infrared (NIR) imaging data from the following publication: Altgen M., Awais M. Altgen D., Klüppel A., Koch G., Mäkelä M., Olbrich A., Rautkari L. (2022) Chemical imaging to reveal the resin distribution in impregnation-treated wood at different spatial scales. Materials & Design, DOI: https://doi.org/10.1016/j.matdes.2022.111481. The data was obtained from beech wood board sections (75x15x25 mm<sup>3</sup>) that were impregnation-treated with a low molecular weight phenol formaldehyde resin. Experimental details can be found in the publication. The file “NIR sample IDs with weight and dimensional changes.csv” contains the sample IDs and the weight percent gains caused by the resin treatment of each sample in the dataset. To generate the NIR image files, regions of interest of 881 x 384 pixels (subsets a,b,c,d) or 2401 x 375 pixels were selected from the raw image files to produce an image that contains the sample surrounded by background. The spectral data was corrected using the calibration reflectance target values and then converted to absorbance. Each NIR image is stored in a separate MATLAB file (.mat) with the sample ID as the file name. The file "UMSP sample IDs.csv" contains the sample IDs of the UMSP images. The folder "UMSP image profiles.zip" contains the corresponding UMSP image profiles, which are stored as excel files (.xlsx) with the sample IDs as file names. The files contain the absorbance at 278 nm per pixel with a pixel resolution of 0.25 x 0.25 µm<sup>2</sup>.
DOI: 10.6084/m9.figshare.21350457
title: Trace-level quantification of ethylene oxide and 2-chloroethanol in low-viscosity hydroxypropyl methylcellulose with solid phase microextraction and GC-MS

description: Ethylene oxide (EtO) is naturally present in numerous food products but recently EtO and its degradation product of 2-chloroethanol (2-CE) have been reported in amounts exceeding the maximum residue limit in Europe. The reports include hard capsules for dietary supplements made from low viscous hydroxypropyl methylcellulose (HPMC). The European council (EC) has proposed a generalized method for spices, seeds, and capsules utilizing QuEChERS, solid phase extraction (SPE), and GC-MS/MS to accommodate the need for analyte specificity, trace-level analysis, and higher throughput. HPMC has unique solvation properties and, without care, can potentially be transferred to the instrument. The current work presents the development of two methods specific for EtO and 2-CE in low viscous HPMC using solid phase microextraction (SPME) and GC-MS. Method optimization for solvation, SPME settings, and GC-MS settings are presented along with validation based on standard addition. Both methods present a high degree of specificity and limits of detection (EtO 6.7 µg/kg and 2-CE 12 µg/kg), comparable to those obtained with the EC method. Apart from sampling, the methods were fully automated and rely on low cost GC-MS instrumentation, widely available. Analyzed samples did not contain EtO or 2-CE, and method development was done with spiked samples. Contamination from plastic containers and analytical carry-over are shown as possible sources of EtO and 2-CE.
DOI: 10.6084/m9.figshare.21350457.v1
title: Trace-level quantification of ethylene oxide and 2-chloroethanol in low-viscosity hydroxypropyl methylcellulose with solid phase microextraction and GC-MS

description: Ethylene oxide (EtO) is naturally present in numerous food products but recently EtO and its degradation product of 2-chloroethanol (2-CE) have been reported in amounts exceeding the maximum residue limit in Europe. The reports include hard capsules for dietary supplements made from low viscous hydroxypropyl methylcellulose (HPMC). The European council (EC) has proposed a generalized method for spices, seeds, and capsules utilizing QuEChERS, solid phase extraction (SPE), and GC-MS/MS to accommodate the need for analyte specificity, trace-level analysis, and higher throughput. HPMC has unique solvation properties and, without care, can potentially be transferred to the instrument. The current work presents the development of two methods specific for EtO and 2-CE in low viscous HPMC using solid phase microextraction (SPME) and GC-MS. Method optimization for solvation, SPME settings, and GC-MS settings are presented along with validation based on standard addition. Both methods present a high degree of specificity and limits of detection (EtO 6.7 µg/kg and 2-CE 12 µg/kg), comparable to those obtained with the EC method. Apart from sampling, the methods were fully automated and rely on low cost GC-MS instrumentation, widely available. Analyzed samples did not contain EtO or 2-CE, and method development was done with spiked samples. Contamination from plastic containers and analytical carry-over are shown as possible sources of EtO and 2-CE.
DOI: 10.3886/icpsr24112.v3
title: Federal Justice Statistics Program: Offenders Released From Prison, 2000
title: Version 3

description: The data contain records of sentenced offenders released from 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. Records of offenders who exit federal prison temporarily, such as for transit to another location, to serve a weekend sentence, or for health care, are not included in the exiting cohort. 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 Released From Prison, 2000
description: Offenders released from the custody of the United States Bureau of Prisons during fiscal year 2000.
DOI: 10.3886/icpsr24112
title: Federal Justice Statistics Program: Offenders Released From Prison, 2000
title: Archival Version

description: The data contain records of sentenced offenders released from 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. Records of offenders who exit federal prison temporarily, such as for transit to another location, to serve a weekend sentence, or for health care, are not included in the exiting cohort. 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 Released From Prison, 2000
description: Offenders released from the custody of the United States Bureau of Prisons during fiscal year 2000.
DOI: 10.3886/icpsr24113.v3
title: Federal Justice Statistics Program: Offenders in Prison at Year-End, 2000
title: Version 3

description: The data contain records of sentenced offenders in the custody of the Bureau of Prisons (BOP) at year-end of 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 in Prison at Year-End, 2000
description: Offenders in the custody of the United States Bureau of Prisons at year-end of fiscal year 2000.
DOI: 10.3886/icpsr24113
title: Federal Justice Statistics Program: Offenders in Prison at Year-End, 2000
title: Archival Version

description: The data contain records of sentenced offenders in the custody of the Bureau of Prisons (BOP) at year-end of 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 in Prison at Year-End, 2000
description: Offenders in the custody of the United States Bureau of Prisons at year-end of fiscal year 2000.
DOI: 10.20387/bonares-armj-2e81
title: Proximal soil sensing data from the RapidMapper, a novel  mobile multi-sensor platform for topsoil mapping [Booßen (Brandenburg, Germany), August 2021].

description: Proximal soil sensing data were collected by a novel multi-sensor platform (“RapidMapper”) for on-the-go topsoil mapping. This platform was developed within the BonaRes project “I4S (Intelligence for Soil) – Integrated System for Site-Specific Soil Fertility Management” (https://www.bonares.de/i4s). The sensor data comprise: (i) apparent electrical conductivity (ECa) using the galvanic contact resistivity technique based on the Wenner array configuration, (ii) near-infrared (NIR) spectra covering the nominal range of 8602550 nm with a resolution of 1 nm (C11118GA, Hamamatsu Photonics K. K., Shizuoka Pref., Japan), and (iii) gamma spectra from a CsI (Caesium Iodide) scintillator crystal (MS-2000-CsI-MTS, Medusa Radiometrics BV, Groningen, Netherlands)detecting the naturally occurring radionuclides, Potassium-40 (40K), Uranium-238 (238U), Thorium-232 (232Th) and Caesium-137 (137Cs). They were collected from the topsoil at a measurement frequency of 1 Hz during a field mapping campaign in August 2021 conducted on an agricultural field of 15.5 ha in Booßen near Frankfurt/Oder (Brandenburg, Germany; 52°23’38.688’’N, 14°27’38.844’’E). The RapidMapper platform was pulled over the field at an average speed of 2.5 km/h and along parallel tracks being about 18 m apart.

Research domain: Soil Sciences

Research question: None
DOI: 10.3886/e145122v1-131196
title: Replication Programs and Appendices for "Laws, Educational Outcomes, and Returns to Schooling: Evidence from the First Wave of U.S. State Compulsory Attendance Laws"

description: Article Abstract: The nineteenth and twentieth century saw two waves of state schooling laws. The first wave focused on children to age 14 and the second wave focused on high school. Using the full count 1940 census and a new coding of state laws, this paper provides new estimates of the effects of the first wave of laws. The analysis focuses on cohorts of prime working age between 1910 and 1940. IV estimates of returns to schooling range from 0.067 to 0.077. Quantile IV estimates show the returns were largest for the lowest quantiles, and were generally monotonically decreasing for higher quantiles.
DOI: 10.6073/pasta/bf44814c101e7e085b2663556a9188ca
title: Modeling dataset: Long-term Change in Metabolism Phenology across North-Temperate Lakes, Wisconsin, USA 1979-2019

description: This dataset includes model configurations, scripts and outputs to process and recreate the outputs from Ladwig et al. (2021): Long-term Change in Metabolism Phenology across North-Temperate Lakes. The provided scripts will process the input data from various sources, as well as recreate the figures from the manuscript. Further, all output data from the metabolism models of Allequash, Big Muskellunge, Crystal, Fish, Mendota, Monona, Sparkling and Trout are included.
DOI: 10.6073/pasta/cedc01b5878325e5d92eac8fbbbe51af
title: Chloride Concentrations, Conductivity, and Water Temperature Data from Lake Mendota and Lake Monona Madison, WI: December 2019 – April 2021

description: Conductivity and chloride were measured for 2 years in Lake Mendota and Lake Monona in Madison, WI. Conductivity was continuously measured (every 30 minutes) on under-ice buoys in the eplimnia (1-2m below the surface) and hypolimnia (1m off the bottom of the lake) of the lakes. Depth-discrete chloride grab samples were collected from the lakes quarterly. Profile sampling in Mendota, which is approximately 25 m deep, occurred every 5m from 0-20m and at 23.5m. Profile sampling in Monona, which is approximately 21m deep, occurred every 4m from 0-20m. This data was needed for a master’s research thesis with the goal of identifying the lakes' mixing dynamics and how salinization may impact them.
DOI: 10.6073/pasta/a68ee9e43ab4aa6e548bf6ceb4332e37
title: North Temperate Lakes LTER: Northern Wisconsin boater survey, 2010 - 2012

description: Understanding public perceptions of the importance of environmental issues is crucial for gauging support for management activities. This survey assess the importance boaters placed on 16 water issues in a lake-rich region of northern Wisconsin. Sociodemographic characteristics, recreation specialization, place attachment, and attitudes concerning aquatic stewardship and invasive species management were then used to predict class membership. While anglers were most concerned about fishing quality, sightseers identified lakeshore development and loss of natural habitat. Groups also differed in their socio-demographic and attitudinal characteristics. The priorities of each group were substantially different from those of the overall sample. Accounting for differences in stakeholders’ environmental concerns may improve public involvement in water management initiatives by allowing managers to identify common concerns and prioritize important issues among multiple groups.