cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/e161781
title: The Dimensions of School Discipline: Toward a Comprehensive Framework for Measuring Discipline Patterns and Outcomes in Schools

description: The school discipline literature has expanded rapidly in recent decades, yet the conceptualization and measurement of school discipline patterns remains overlooked. In this paper, we present a comprehensive analytic framework to examine school discipline patterns that encompasses school-level metrics that capture the prevalence and disparity in exclusionary discipline and regression-based approaches that examine the likelihood that students experience exclusionary discipline. We apply the framework to New York City and, based on school-level metrics, find that Black students have the highest prevalence and the highest disproportionality. Results from the regression models affirm that Black students are most likely to receive office discipline referrals (ODRs) and suspensions and experience differential processing of suspensions for similar categories of infractions. The findings illustrate the nuances of the disciplinary process in schools and inform the consideration of a range of available analytic tools that educational stakeholders may employ to better measure and understand exclusionary discipline.
description: Public school students (grades 6-12).
DOI: 10.3886/e161781v1
title: The Dimensions of School Discipline: Toward a Comprehensive Framework for Measuring Discipline Patterns and Outcomes in Schools

description: The school discipline literature has expanded rapidly in recent decades, yet the conceptualization and measurement of school discipline patterns remains overlooked. In this paper, we present a comprehensive analytic framework to examine school discipline patterns that encompasses school-level metrics that capture the prevalence and disparity in exclusionary discipline and regression-based approaches that examine the likelihood that students experience exclusionary discipline. We apply the framework to New York City and, based on school-level metrics, find that Black students have the highest prevalence and the highest disproportionality. Results from the regression models affirm that Black students are most likely to receive office discipline referrals (ODRs) and suspensions and experience differential processing of suspensions for similar categories of infractions. The findings illustrate the nuances of the disciplinary process in schools and inform the consideration of a range of available analytic tools that educational stakeholders may employ to better measure and understand exclusionary discipline.
description: Public school students (grades 6-12).
DOI: 10.5066/p9gg4mt4
title: Carbon dioxide flux, vegetation, and soils data from artificial ponds in North Dakota, USA, 2021

description: This data release presents data that were collected as part of a larger effort to assess the carbon balance of recently exposed (i.e., no vegetation cover) wetland sediments. This work was part of an international collaborative effort associated with the Dryflux II project. During June and July 2021, data were collected from three artificial ponds located near Jamestown, North Dakota, to estimate carbon dioxide flux, vegetation characteristics, and soil properties. Numerous covariates related to atmospheric and soil conditions also were measured. Water levels of the artificial ponds, which are managed by the U.S. Geological Survey Northern Prairie Wildlife Research Center, were manipulated to mimic the natural drying cycle of prairie wetlands. This management resulted in exposed sediments where samples were collected. Data from this collaborative study will be used to better understand the carbon balance of wetland soils associated with fluctuating wet and dry conditions, and to refine global estimates of carbon dioxide emissions from dry inland waters.
DOI: 10.6084/m9.figshare.19139963
title: GTEX-1HSMQ-Muscle-CST.bw

description: a bw file
DOI: 10.6084/m9.figshare.19139963.v1
title: GTEX-1HSMQ-Muscle-CST.bw

description: a bw file
DOI: 10.5066/p90cn2ti
title: Properties of ice cores from Hobart Lake, North Dakota, USA, 2021

description: This data release presents data that were collected as part of a larger effort (Global Lake Ecological Observatory Network [GLEON] IceBlitz) to enhance understanding of the spatial and temporal variation in global lake ice properties. During January and February of 2021 ice cores were extracted from Hobart Lake, North Dakota, USA and characterized following standard procedures. Characteristics of the cores were recorded, including thickness of distinct layers and presence of visible bubbles and impurities. Surface conditions (e.g., snow, slush) were also characterized and water and air temperature were measured and recorded.
DOI: 10.17903/fk2/ay8lkx
title: Έρευνα Παλιννοστούντων και Αλλοδαπών Μαθητών Πρωτοβάθμιας Εκπαίδευσης

description: Η έρευνα Παλιννοστούντων και Αλλοδαπών Μαθητών της Πρωτοβάθμιας Εκπαίδευσης απογράφει τους Παλιννοστούντες και Αλλοδαπούς μαθητές των δημοτικών σχολείων κατά την έναρξη του σχολικού έτους.
DOI: 10.6084/m9.figshare.19139906
title: DepMap 22Q1 Public

description: This DepMap release contains data from CRISPR knockout screens from project Achilles, as well as genomic characterization data from the CCLE project. For more information, please see README.txt.
DOI: 10.17903/fk2/mwrqaq
title: Έρευνα Παλιννοστούντων και Αλλοδαπών Μαθητών Δευτεροβάθμιας Εκπαίδευσης

description: Οι έρευνες Αλλοδαπών και Παλιννοστούντων Μαθητών της Δευτεροβάθμιας Εκπαίδευσης απογράφουν τους μαθητές τους Αλλοδαπούς και Παλιννοστούντες Μαθητές που φοιτούν στα Γυμνάσια, Γενικά Λύκεια, Επαγγελματικά Λυκεια (ΕΠΑΛ), Επαγγελματικές Σχολές (ΕΠΑΣ), Εκκλησιαστικά Γυμνάσια και Γενικά Εκκλησιαστικά Λύκεια κατά την έναρξη του σχολικού έτους.
DOI: 10.5066/f7g73cx5
title: Microbial Communities Associated with Hot Springs and other CO2-rich Waters, Rocky Mountain Plateau

description: The Colorado Plateau is associated with several different commercial sources of natural CO2 and other non-hydrocarbon gases, such as noble gases. Twenty-five different hot springs, warm springs, cold springs, and/or rivers across the Utah region of the Colorado Plateau were sampled for microbial biomass. These different locations were associated with some concentration of dissolved or effervescing natural CO2 or other naturally-occurring non-hydrocarbon gases. Due to the possibility of different sources of the non-hydrocarbon gases across the region, multiple springs are rivers were sampled across a wide area of the state of Utah. Water samples were collected from non-stagnant regions of the sampled spring or river, filtered through sterile 0.22 um Sterivex filter units. The biomass was extracted, amplified, and sequenced on the Illumina MiSeq platform. The data collected were obtained in order to determine how natural CO2 may impact microbial communities in an attempt to ascertain how sequestered, anthropogenic CO2 may alter the microbial community composition of the target formation. This data could be used to determine how microbial activity may impact the sequestration process in general (e.g., do elevated CO2 concentrations alter the microbial community in a deleterious way), or to predict how microbial communities may shift in response to a CO2 leak into an overlying aquifer.
DOI: 10.6084/m9.figshare.18665642
title: Grassland Monitoring Team Data_Ratcliffe et al. 2022

description: This repository contains data and replication code for "Invasive species do not exploit early growing seasons in burned tallgrass prairies" by Ratcliffe, Hugh; Ahlering, Marissa; Carlson, Daren; Vacek, Sara; Allstadt, Andrew; Dee, Laura. <br> <br>The included data is a subset of the Grassland Monitoring Team dataset, collected from 2008 - 2019. These data were collected as part of a collaborative project which included the Minnesota Department of Nature Resources, the Nature Conservancy, and the US Fish and Wildlife Service. Data are included for public record and are available for public use.<br><br><b>Repository Contents</b><br>1. <b>GMT Analysis.Rmd </b>- Contains all R code used to implement regressions. Instructions included within.<br>2. <b>Ratcliffe et. al 2022_GMT Data.csv</b> - Includes all data necessary to replicate results from scratch.<br>3. <b>Ratcliffe et al. 2022_GMT Metadata.xlsx - </b>Accompanying metadata and variable definitions for all variables found in Ratcliffe et. 2022_GMT Data.csv.<br>4. <b>2013_dnr_plant_status.xls </b>- Supplemental file from the Minnesota Department of Natural Resources used to differentiate native versus invasive species.<br>5. <b>2013_dnr_plant_checklist.xls </b>- Supplemental file from the Minnesota Department of Natural Resources used to identify indicator species.<br>6. <b>Vacek 2012 - GMT Protocols</b> - Protocol used for the collection of the vegetation data. <br>Vacek, S., M. Cornett, D. Carlson, and M. Ahlering. 2016. Grassland Monitoring Team Standardized Monitoring Protocol. https://ecos.fws.gov/ServCat/Reference/Profile/26773 <br>For questions or use please contact the owner of this figshare repository, Hugh Ratcliffe, at hugh.ratcliffe@gmail.com.
DOI: 10.6084/m9.figshare.17102372
title: Salsipaludibacter albus gen. nov., sp. nov., a novel actinobacterial strain isolate from a Portuguese solar saltern and proposal of Salsipaludibacteraceae fam. nov. and Salsipaludibacterales ord. nov.

description: Supplementary material for Salsipaludibacter albus gen. nov., sp. nov., a novel actinobacterial strain isolate from a Portuguese solar saltern and proposal of Salsipaludibacteraceae fam. nov. and Salsipaludibacterales ord. nov. as published in the <i>International Journal of Systematic and Evolutionary Microbiology.</i>
DOI: 10.6084/m9.figshare.17102372.v1
title: Salsipaludibacter albus gen. nov., sp. nov., a novel actinobacterial strain isolate from a Portuguese solar saltern and proposal of Salsipaludibacteraceae fam. nov. and Salsipaludibacterales ord. nov.

description: Supplementary material for Salsipaludibacter albus gen. nov., sp. nov., a novel actinobacterial strain isolate from a Portuguese solar saltern and proposal of Salsipaludibacteraceae fam. nov. and Salsipaludibacterales ord. nov. as published in the <i>International Journal of Systematic and Evolutionary Microbiology.</i>
DOI: 10.6073/pasta/df991c3632549671077db01145c3e0e3
title: Minocqua Dam Monthly Meteorological Data at North Temperate Lakes LTER 1905 - current

description: Minoqua Dam, Wisconsin. Meteorological measurements are being gathered at a site at the Minocqua Dam for these purposes: 1) to supplement the data from the raft on Sparkling Lake and 2) to provide standard meteorological measurements for the North Temperate Lakes site. The following parameters are measured and stored as monthly values: 1) mean daily air temperature, 2) mean maximum air temperature, 3) mean minimum air temperature, 4) total precipitation, and 5) total snowfall. Sampling Frequency: data averaged to monthly values Number of sites: 1
DOI: 10.5281/zenodo.6011882
title: Spatial scale evaluation of forecast flood inundation maps

description: Spatial scale evaluation of forecast flood inundation maps, data and code Creator: Helen Hooker[1] Publication Year: 2022 Organisation(s): 1. Department of Meteorology, University of Reading, U.K Description: This dataset contains: - Python functions for a new scale-selective approach to forecast flood map evaluation. - SAR-derived observed flood maps used in the study. - JBA Consulting Flood Foresight forecast flood maps used in the study. Helen Hooker. (2022). Spatial scale evaluation of forecast flood inundation maps (v1.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.6011882 Related publications: Spatial scale evaluation of forecast flood inundation maps; 2022; Journal of Hydrology (in preparation) Helen Hooker[1], Sarah L. Dance[1,2,3], David C. Mason[4], John Bevington[5], and Kay Shelton[5] Department of Meteorology, University of Reading, UK. Department of Mathematics and Statistics, University of Reading, UK. NCEO, University of Reading, UK. Department of Geography and Environmental Science, University of Reading, UK. JBA Consulting, UK. Correspondence: Helen Hooker (h.hooker@pgr.reading.ac.uk)
DOI: 10.5281/zenodo.6011881
title: Spatial scale evaluation of forecast flood inundation maps

description: Spatial scale evaluation of forecast flood inundation maps, data and code Creator: Helen Hooker[1] Publication Year: 2022 Organisation(s): 1. Department of Meteorology, University of Reading, U.K Description: This dataset contains: - Python functions for a new scale-selective approach to forecast flood map evaluation. - SAR-derived observed flood maps used in the study. - JBA Consulting Flood Foresight forecast flood maps used in the study. Helen Hooker. (2022). Spatial scale evaluation of forecast flood inundation maps (v1.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.6011882 Related publications: Spatial scale evaluation of forecast flood inundation maps; 2022; Journal of Hydrology (in preparation) Helen Hooker[1], Sarah L. Dance[1,2,3], David C. Mason[4], John Bevington[5], and Kay Shelton[5] Department of Meteorology, University of Reading, UK. Department of Mathematics and Statistics, University of Reading, UK. NCEO, University of Reading, UK. Department of Geography and Environmental Science, University of Reading, UK. JBA Consulting, UK. Correspondence: Helen Hooker (h.hooker@pgr.reading.ac.uk)
DOI: 10.6084/m9.figshare.19137845
title: Crossodactylodes phylogenetics

description: Data containing: morphological (osteology) especimens analysed, GenBank sequence vouchers, and a total evidence matrix.
DOI: 10.6084/m9.figshare.19137845.v1
title: Crossodactylodes phylogenetics

description: Data containing: morphological (osteology) especimens analysed, GenBank sequence vouchers, and a total evidence matrix.
DOI: 10.6073/pasta/f716e89717c2fb017451678aab688a0e
title: Madison Wisconsin Daily Meteorological Data 1869 - current

description: Daily air temperature, precipitation and snow depth data for Madison from 1869. For a full description of data prior to 1987 see Robertson, 1989 (Ph.D. Thesis). Raw data (in English units) prior to 1977 were assembled by Douglas Clark - Wisconsin State Climatologist. Data were converted to metric units and adjusted for temporal biases by Dale M. Robertson. Adjusted data represent the BEST estimated daily data and may be raw data. Daily temperature data prior to 1884 were estimated from 3 times per day sampling and biases are expected and should not be comparable with data after that time. For adjustments applied to various parameters see Robertson, 1989 Ph.D. Thesis UW-Madison. Douglas Clark had assembled and adjusted 1948 to 1977 data for his own research earlier. Data from 1989 to 1995 obtained from CD's at the Wis. State Climatologists Office. Air Temp adjusted to data at Truax Field. Data collected at Bascom Hall, 1-1-1869 to 9-30-1878. Data collected at North Hall, 10-1-1904 to 12-31-1947. Data collected at Browns Block, 10-1-1878 to 4-31-1883. Data collected at Truax Field (Admin BLDG), 1-1-1948 to 12-31-195. Data collected at North Hall, 5-1-1883 to 7-31-1883. Data collected at Truax Field (Center of Field), 1-1-1960 to Present. Data collected at Washburn observatory, 8-1-1883 to 9-30-1904. Wind data collected at Truax from 1-1-1947 to Present. Much of the data after 1990 were obtained in digital form from Ed Hopkins, UW-Meteorology Sampling Frequency: daily values Number of sites: 1
DOI: 10.5281/zenodo.5834378
title: Cosmological constraints from the tomographic cross-correlation of DESI Luminous Red Galaxies and Planck CMB lensing

description: Input maps and derived data for the DESI LRG samples, cross-correlated with the Planck CMB lensing maps, from Cosmological constraints from the tomographic cross-correlation of DESI Luminous Red Galaxies and Planck CMB lensing Martin White, et al. https://arxiv.org/abs/2111.09898
DOI: 10.5281/zenodo.5834377
title: Cosmological constraints from the tomographic cross-correlation of DESI Luminous Red Galaxies and Planck CMB lensing

description: Input maps and derived data for the DESI LRG samples, cross-correlated with the Planck CMB lensing maps, from Cosmological constraints from the tomographic cross-correlation of DESI Luminous Red Galaxies and Planck CMB lensing Martin White, et al. https://arxiv.org/abs/2111.09898
DOI: 10.26078/2ztz-5789
title: Elemental and Oxidized Mercury in the Atmosphere at Horsepool, Utah, January-July 2019
DOI: 10.6084/m9.figshare.18972938
title: SNP Chip data

description: This file contains SNP marker data of 17 spring barley genotypes used in the study <br>Host Genotype and Weather Effects on Fusarium Head Blight Severity and Mycotoxin Load in Spring Barley by Hoheneder et al. 2022<br>
DOI: 10.6084/m9.figshare.18972938.v1
title: SNP Chip data

description: This file contains SNP marker data of 17 spring barley genotypes used in the study <br>Host Genotype and Weather Effects on Fusarium Head Blight Severity and Mycotoxin Load in Spring Barley by Hoheneder et al. 2022<br>
DOI: 10.48420/15104730
title: Water fluoride concentrations (mgF/L) per LSOA in England (2009 - 2020)

description: This dataset is a record of annual water fluoride concentrations in Lower Super Output Areas (LSOAs) in England from 2009 to 2020. We obtained information on the fluoride concentrations for each water supply zone through requests made under the Environmental Information Regulations 2004, to water companies in England. The Water Supply (Water Quality) Regulations SI 2016/614 require that water companies take a minimum of 1-8 annual samples per water supply zone, per year (dependent on population size) of water fluoride concentrations, as part of routine water quality monitoring. This dataset was created by merging the supplied information on annual fluoride concentrations in each water supply zone, with the 2011 LSOA population-weighted centroids (Office for National Statistics). Further details on the methods used to create this dataset will be found in the Research paper accompanying this dataset
DOI: 10.6084/m9.figshare.14743575
title: Citizens' Attitudes Under Covid-19 Pandemic (CAUCP)

description: EN : The Citizens’ Attitudes Under the COVID-19 Pandemic (CAUCP) project is coordinated by Sylvain Brouard (Sciences Po, CEVIPOF), Michael Becher (IAST, University of Toulouse 1), Martial Foucault (Sciences Po, CEVIPOF) and Pavlos Vasilopoulos (University of York and CEVIPOF). <br> CAUCP surveyed public opinion throughout the Covid-19 pandemic in 11 democracies between March to December 2020. The datasets provide public opinion panel data to examine the political, behavioral, and attitudinal consequences of crisis across time and contexts.
DOI: 10.6084/m9.figshare.14743575.v6
title: Citizens' Attitudes Under Covid-19 Pandemic (CAUCP)

description: EN : The Citizens’ Attitudes Under the COVID-19 Pandemic (CAUCP) project is coordinated by Sylvain Brouard (Sciences Po, CEVIPOF), Michael Becher (IAST, University of Toulouse 1), Martial Foucault (Sciences Po, CEVIPOF) and Pavlos Vasilopoulos (University of York and CEVIPOF). <br> CAUCP surveyed public opinion throughout the Covid-19 pandemic in 11 democracies between March to December 2020. The datasets provide public opinion panel data to examine the political, behavioral, and attitudinal consequences of crisis across time and contexts.
DOI: 10.6084/m9.figshare.18693461.v1
title: Supplemental data and figures

description: This collection contains all raw data, supplemental data and figures used in the study <br>Host Genotype and Weather Effects on Fusarium Head Blight Severity and Mycotoxin Load in Spring Barley<br>by Hoheneder et al. 2022
DOI: 10.6084/m9.figshare.18693461
title: Supplemental data and figures

description: This collection contains all raw data, supplemental data and figures used in the study <br>Host Genotype and Weather Effects on Fusarium Head Blight Severity and Mycotoxin Load in Spring Barley<br>by Hoheneder et al. 2022
DOI: 10.15787/vtt1/eismev
title: E-scooter interaction with road users reduction data (00-030)

description: Project Description: Electric scooters (e-scooters) are gaining in popularity due to their availability, accessibility, and low cost. However, there has been little research on how e-scooters behave on the road and interact with other road users. The Virginia Tech Transportation Institute, teaming with State Farm, conducted an observational study on the Virginia Tech campus. Video data were gathered through instrumented fixed cameras located at various intersections and high-volume pedestrian areas. The analysis focused on times with a high volume of e-scooter riders, which was the period from 10:00 a.m. to 4:00 p.m. The research team hope to address the following gaps in current research: investigating safety device implementation during e-scooter riding; understanding e-scooter behavior at different riding locations; and understanding the mode and safety limits of e-scooter interactions with other road users, with a special emphasis on motorized vehicles. Data Scope: A total of 492 e-scooter trips were recorded, and 473 of those were analyzed. The raw data is video series data gathered through fixed camera installed on 14 locations on Virginia Tech Campus. The data used for the analysis was coded from the raw video data by the data reduction team at Virginia Tech Transportation Institute, and this data contains all categorical variables. Data Specification: Please see Data Dictionary document below.
DOI: 10.15787/vtt1/r8wy4f
title: Active Search Mirror Checks Dataset (05-084)

description: Project Description: Driver impairment, due to drowsiness or fatigue, has a significant impact on the safety of all road users. Assessing an impairment such as driver drowsiness, through the use of vehicle-based technology, continues to be an area of interest. Both the initial detection, as well as continued monitoring, of driver drowsiness have been the emphasis of vehicle-based Driver Monitoring Systems (DMS). Particularly, in-vehicle eye tracking systems have been implemented, as a way of determining driver state. Specifically when hands-free driving assistance features are engaged, measures such driver’s percentage of eye closure (PERCLOS) are being used to determine driver drowsiness. However, one challenge of such a metric is its reliability; particularly with regard to false alarms (when a DMS indicates the driver is drowsy, but in fact is not). Therefore, the use of more gross-level driver behavioral based measures may serve as a way of crosschecking the assessments of a DMS. This work aims to mine an available dataset in order to examine driver search behavior, with the goal of identifying relationships between driver vigilance and drowsy driving. The hypothesis is that driver search behavior (e.g. mirror checks) degrades with increasing levels of drowsiness. If a reliable relationship is found between driver vigilance and state of drowsiness, the practical applications may be to incorporate this measure of driver search behavior into the “toolbox” of metrics for estimating driver drowsiness. Data Scope: The data are 135 epochs of drivers through varying PERCLOS Classifications. Timestamps indicate the beginning and ending of 5-minute epochs with glances to mirrors and over-the-shoulder areas. Data Specification: Please see Data Dictionary document below.
DOI: 10.6084/m9.figshare.16200666.v1
title: 2021JF006408

description: The data archived for The formation of atolls: new insights from numerical simulations.<br>
DOI: 10.17903/fk2/nzzsaq
title: Έρευνα Ανωτάτης Εκπαίδευσης (Πανεπιστημιακός - Τεχνολογικός Τομέας) Έναρξη Ακαδημαϊκού Έτους

description: Οι έρευνες ανώτατης εκπαίδευσης (Πανεπιστημιακός και Τεχνολογικός Τομέας) απογράφουν τα ιδρύματα, τις σχολές και τα τμήματα, το εκπαιδευτικό προσωπικό, καθώς επίσης και τους φοιτητές-σπουδαστές κατά την έναρξη του ακαδημαϊκού έτους.