cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.23641/asha.15138240
title: Pragmatic Rating Scale–School Age psychometrics (Dillon et al., 2021)

description: <b>Purpose: </b>Social communication or pragmatic skills are continuously distributed in the general population. Impairment in these skills is associated with two clinical disorders, autism spectrum disorder (ASD) and social (pragmatic) communication disorder. Such impairment can impact a child’s peer acceptance, school performance, and current and later mental health. Valid, reliable, examiner-rated observational measures of social communication from a semistructured language sample are needed to detect social communication impairment. We evaluated the psychometrics of an examiner-rated measure of social (pragmatic) communication, the Pragmatic Rating Scale–School Age (PRS-SA).<b>Method: </b>The analytic sample consisted of 130 children, ages 7–12 years, from five mutually exclusive groups: ASD (<i>n </i>= 25), language concern (LC; <i>n </i>= 5), ASD + LC (<i>n </i>= 10), social communication impairment only (<i>n </i>= 22), and typically developing (TD; <i>n </i>= 68). All children received language and autism assessments. The PRS-SA was rated separately using video-recorded communication samples from the Autism Diagnostic Observation Schedule. Assessment data were employed to evaluate the psychometrics of the PRS-SA. Analysis of covariance models were used to assess whether the PRS-SA would detect differences in social communication functioning across the five groups. <b>Results:</b> The PRS-SA demonstrated strong internal reliability, concurrent validity, and interrater reliability. PRS-SA scores were significantly higher in all groups compared to the TD group and differed significantly in most pairwise comparisons; the ASD + LC group had the highest (more atypical) scores.<b>Conclusions: </b>The PRS-SA shows promise as a measure of social communication skills in school-age verbally fluent children with a range of social and language abilities. More research is needed with a larger sample, including a wider age range and geographical diversity, to replicate findings.<br><b>Supplemental Material S1.</b> DSM-5 diagnostic criteria aligned with social (pragmatic) communication domains and sample PRS-SA items. <br><b>Supplemental Material S2.</b> Psychometric performance of scored items on the Pragmatic Rating Scale–School-Age (PRS-SA).<br>Dillon, E., Holingue, C., Herman, D., & Landa, R. J. (2021). Psychometrics of the Pragmatic Rating Scale for school-age children with a range of linguistic and social communication skills. <i>Journal of Speech, Language, and Hearing Research</i>. Advance online publication. https://doi.org/10.1044/2021_JSLHR-20-00753
DOI: 10.23641/asha.15138240.v1
title: Pragmatic Rating Scale–School Age psychometrics (Dillon et al., 2021)

description: <b>Purpose: </b>Social communication or pragmatic skills are continuously distributed in the general population. Impairment in these skills is associated with two clinical disorders, autism spectrum disorder (ASD) and social (pragmatic) communication disorder. Such impairment can impact a child’s peer acceptance, school performance, and current and later mental health. Valid, reliable, examiner-rated observational measures of social communication from a semistructured language sample are needed to detect social communication impairment. We evaluated the psychometrics of an examiner-rated measure of social (pragmatic) communication, the Pragmatic Rating Scale–School Age (PRS-SA).<b>Method: </b>The analytic sample consisted of 130 children, ages 7–12 years, from five mutually exclusive groups: ASD (<i>n </i>= 25), language concern (LC; <i>n </i>= 5), ASD + LC (<i>n </i>= 10), social communication impairment only (<i>n </i>= 22), and typically developing (TD; <i>n </i>= 68). All children received language and autism assessments. The PRS-SA was rated separately using video-recorded communication samples from the Autism Diagnostic Observation Schedule. Assessment data were employed to evaluate the psychometrics of the PRS-SA. Analysis of covariance models were used to assess whether the PRS-SA would detect differences in social communication functioning across the five groups. <b>Results:</b> The PRS-SA demonstrated strong internal reliability, concurrent validity, and interrater reliability. PRS-SA scores were significantly higher in all groups compared to the TD group and differed significantly in most pairwise comparisons; the ASD + LC group had the highest (more atypical) scores.<b>Conclusions: </b>The PRS-SA shows promise as a measure of social communication skills in school-age verbally fluent children with a range of social and language abilities. More research is needed with a larger sample, including a wider age range and geographical diversity, to replicate findings.<br><b>Supplemental Material S1.</b> DSM-5 diagnostic criteria aligned with social (pragmatic) communication domains and sample PRS-SA items. <br><b>Supplemental Material S2.</b> Psychometric performance of scored items on the Pragmatic Rating Scale–School-Age (PRS-SA).<br>Dillon, E., Holingue, C., Herman, D., & Landa, R. J. (2021). Psychometrics of the Pragmatic Rating Scale for school-age children with a range of linguistic and social communication skills. <i>Journal of Speech, Language, and Hearing Research</i>. Advance online publication. https://doi.org/10.1044/2021_JSLHR-20-00753
DOI: 10.15468/ccq4bf
title: Review of the Paraplea Esaki & China (Hemiptera: Heteroptera: Nepomorpha Pleidae) of Australia, with description of a new species

description: This dataset contains the digitized treatments in Plazi based on the original journal article Cook, Jerry L. (2021): Review of the Paraplea Esaki & China (Hemiptera: Heteroptera: Nepomorpha Pleidae) of Australia, with description of a new species. Zootaxa 4985 (1): 81-90, DOI: https://doi.org/10.11646/zootaxa.4985.1.4
DOI: 10.5281/zenodo.5186413
title: A Single-Cell Tumor Immune Atlas for Precision Oncology

description: This upload contains the whole integrated matrix of the Tumor Immune Cell Atlas and the corresponding cell-level metadata, both in comma-separated format (csv).
DOI: 10.5281/zenodo.5197189
title: Blast damage zone influence on groundwater fluxes through backfilled open-pits

description: This folder contains the files needed to run the numerical simulations as done in the paper "Blast damage zone influence on groundwater fluxes through backfilled open-pits" by Moise Rousseau and Thomas Pabst.
DOI: 10.5063/n29vcq
title: Historic precipitation in Alaska for 1901-2015, with regional subsetting by SASAP region

description: The purpose of this project is to extract historic average Alaskan precipitation across different time intervals for periods of interest (e.g. spawning season, growing season, monthly averages) across different regions of Alaska. Details on the extraction can be found in the file "PrecipitationHistoric.ipynb" within this package. In particular, the data files in this package comprise records for regional and temporal subsets of the original dataset, with the regional divisions determined by the SASAP project. These data were derived from the "Historical Monthly Precipitation - 1 km CRU TS" dataset, available at http://ckan.snap.uaf.edu/dataset/historical-monthly-precipitation-1-km-cru-ts. The "Historical Monthly Precipitation - 1 km CRU TS" dataset was created by Matthew Leonawicz, Michael Lindgren, Tom Kurkowski (takurkowski@alaska.edu), Scott Rupp, and John Walsh, and was funded by the Arctic Landscape Conservation Cooperative, Western Alaska Landscape Conservation Cooperative, and Northwest Boreal Landscape Conservation Cooperative (LCCs) and the Alaska Climate Science Center. The dataset is licensed under Creative Commons Attribution 4.0 (https://creativecommons.org/licenses/by/4.0/).
DOI: 10.5063/h993mx
title: Salmon age, sex, and length data from Westward and Southeast Alaska, 1979-2017

description: Age, sex and length data provide population dynamics information that can indicate how populations trends occur and may be changing. These data can help researchers estimate population growth rates, age-class distribution and population demographics. Knowing population demographics, growth rates and trends is particularly valuable to fisheries managers who must perform population assessments to inform management decisions. These data are therefore particularly important in valuable fisheries like the salmon fisheries of Alaska. This dataset includes age, sex and length data compiled from annual sampling of commercial and subsistence salmon harvests and research projects in westward and southeast Kodiak. It includes data on five salmon species: chinook, chum, coho, pink and sockeye. Age estimates were made by examining scales or bony structures (e.g. otoliths - ear bones). Scales were removed from the side of the fish; usually the left side above the lateral line. Scales or bony structures were then mounted on gummed cards and pressed on acetate to make an impression. The number of freshwater and saltwater annuli (i.e. rings) was counted to estimate age in years. Age is recorded in European Notation, which is a method of recording both fresh and saltwater annuli. For example, for a fish that spent one year in freshwater and 3 years in saltwater, its age is recorded as 1.3. The total fish age is the sum of the first and second numbers, plus one to account for the time between deposition and emergence. Therefore the fish in this example is 5 years old. Fish sex was determined by either examining external morphology (eg. head and belly shape) or internal sex organ. Length was measured in millimeters, generally from mid-eye to the fork of the tail. This data package includes the original data file (ASL DATA EXPORT.csv), a reformatting script that reformats the original data file into a consistent format (ASL_Formatting_SoutheastKodiak.R), and the reformatted dataset as a .csv file (ASL_formatted_SoutheastKodiak.csv).
DOI: 10.6084/m9.figshare.13266506.v4
title: Tables

description: <b></b>Table 1. Clinical demographics<br><br>Supplementary Table 1. Subjects not meeting inclusion criteria due to known bacterial or fungal infection Cerebrospinal fluid (CSF) total nucleated cells (TNC) and pathogen classification for the 14 cases excluded from analyses. <b><br></b>Supplementary Table 2. Subject-Level Clinical DetailsClinical details that include cerebrospinal fluid white blood cells, duration of infection prior to lumbar puncture and treatment provided for the 68 subjects in study. The number of infectious disease tests include tests performed during a MGH hospitalization; infectious disease tests performed prior to an MGH admission were not included. Abbreviations: AIDS, Acquired immunodeficiency syndrome; ALL, Acute lymphocytic leukemia; ANCA, Antineutrophil cytoplasmic antibodies; CLL, Chronic Lymphocytic Leukemia, CNS, Central Nervous System; CVID, Combined Variable Immunodeficiency; DLBCL, Diffuse large B-cell Lymphoma; GAD-65, glutamic acid decarboxylase 65-kilodalton isoform; HIV, Human Immunodeficiency Virus; HSV, Herpes Simplex Virus; HHV-6, Human Herpesvirus 6; ID, Infectious Disease; anti-NMDA-R, anti- N-methyl-D-aspartate receptor; PML, Progressive Multifocal Leukoencephalopathy; WNV, West Nile Virus; VZV, Varicella Zoster Virus <b><br></b>Supplementary Table 3. Clinical Followup for Subjects Listed as Unknown at DischargeChart review for subjects classified as unknown at hospital discharge. <br>Supplementary Table 4. Pathogenic taxa of interest classificationsVirus reads identified by KrakenUniq were manually inspected in Geneious and excluded as "Lab contaminant" if the reads matched a known virus commonly used in the laboratory, or if they matched the virus from a different subject in this study. Table hosted on https://figshare.com/articles/dataset/Tables/13266506<b><br></b>Supplementary Table 5. Sequencing Read Counts per Library - Computational StepsNumber of read counts per library identified at each step of computational processing. Table hosted on https://figshare.com/articles/dataset/Tables/13266506<b><br></b>Supplementary Table 6. Sequencing Read Counts by Subject - Computational StepsNumber of read counts per subject identified at each step of computational processing. Table hosted on https://figshare.com/articles/dataset/Tables/13266506<b><br></b>Supplementary Table 7. Enhanced sequencing metrics for positively identified taxaRPM of positively identified taxa in each cell (without computational depletion). Empty cells correspond to 0 counts. Table hosted on https://figshare.com/articles/dataset/Tables/13266506<b><br></b>Supplementary Table 8. Detection of reads matching Blacklegged Tick Picorna-Like Virus (BTPLV)Reads identified by Kaiju were aligned to BTPLV in Geneious and manually inspected. Table hosted on https://figshare.com/articles/dataset/Tables/13266506
DOI: 10.15468/atmwes
title: First record of Cercyon (s. str.) inquinatus Wollaston, 1854 from Turkey with notes about this problematic species (Coleoptera: Hydrophilidae: Sphaeridiinae Megasternini)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Queney, Pierre, Çiçek, Ahmet, Şen, Ismail (2021): First record of Cercyon (s. str.) inquinatus Wollaston, 1854 from Turkey with notes about this problematic species (Coleoptera: Hydrophilidae: Sphaeridiinae Megasternini). Zootaxa 4985 (1): 91-101, DOI: https://doi.org/10.11646/zootaxa.4985.1.5
DOI: 10.6084/m9.figshare.15167181
title: Imaris Imaging Data

description: All HLB positions used to compute intensity and volumes from each individual microscopy channel
DOI: 10.15468/fzb2se
title: Description of Chlorogomphus danhkyi sp. nov. from Vu Quang National Park, central Vietnam with notes on other congeners from the Park (Odonata Chlorogomphidae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Phan, Quoc Toan, Karube, Haruki, Hung, Nguyen Viet, Anh, Tran Dinh (2021): Description of Chlorogomphus danhkyi sp. nov. from Vu Quang National Park, central Vietnam with notes on other congeners from the Park (Odonata Chlorogomphidae). Zootaxa 4985 (1): 102-110, DOI: https://doi.org/10.11646/zootaxa.4985.1.6
DOI: 10.34740/kaggle/dsv/2523733
title: 200mb Russian comments from 2ch
DOI: 10.6084/m9.figshare.15167061
title: Global Asymmetry of Hot Flow Anomaly

description: Partial data and figures for paper " Global Asymmetry of Hot Flow Anomaly<br>" by Yu Lin et al.(2021). You could contact @ ylin01@auburn.edu and/or wangxue@auburn.edu to get more data.<br>
DOI: 10.6084/m9.figshare.15167061.v3
title: Global Asymmetry of Hot Flow Anomaly

description: Partial data and figures for paper " Global Asymmetry of Hot Flow Anomaly<br>" by Yu Lin et al.(2021). You could contact @ wangxue@auburn.edu to get more data.<br>
DOI: 10.34740/kaggle/dsv/2523762
title: 200mb Russian comments from 2ch
DOI: 10.5517/ccdc.csd.cc27jd5c
title: CCDC 2071332: Experimental Crystal Structure Determination

description: Related Article: Henrik Braband, Michael Benz, Bernhard Spingler, Jeanet Conradie, Roger Alberto, Abhik Ghosh|2021|Inorg.Chem.|60|11090|doi:10.1021/acs.inorgchem.1c00995
DOI: 10.5517/ccdc.csd.cc27ztkm
title: CCDC 2085201: Experimental Crystal Structure Determination

description: Related Article: Yang Wang, Wen Guo, Ai-Lin Guan, Shuang Liu, Zi-Jian Yao|2021|Inorg.Chem.|60|11514|doi:10.1021/acs.inorgchem.1c01530
DOI: 10.3886/e119446v117
title: COVID-19 US State Policy Database

description: For questions or comments about the database please contact:<br>Alexandra Skinner <br>skinnera@bu.edu <br>Research Fellow & Database Manager<br>Department of Health Law, Policy & Management <br>Boston University School of Public Health<br><br>Database of state policies on closures, shelter-in-place orders, housing protections, changes to Medicaid and SNAP, physical distancing closures, reopening, and more created by researchers at the Boston University School of Public Health. Policies included are state-wide directives or mandates, not guidance or recommendations. In order for a policy to be included, it must apply to the entire state. We are working quickly to go through state government websites to make the policy database as complete and accurate as possible in a rapidly changing policy context. If you use data on a given policy, we encourage you to triangulate based on additional sources of policy data and to review the source documentation to consider the coding decisions that are right for your work. Of course, please email us if you note a discrepancy so we can improve the database for everyone. State policy source documentation can be found at: tinyurl.com/statepolicysources.
description: State policies. Smallest Geographic Unit: State
description: other; Contributors: Megan Cole Brahim, Noa Krawczyk, Carolyn Hoffman, Claire Corkish, Elizabeth Ferrara, Elizabeth Long, Emily Baroni, Faith Contador, Hannah Simon, Morgan Simko, Rachel Scheckman, Sarah Brewer, Sue Kulkarni, Felicia Heykoop, Manish Patel, Aishwarya Vidyasagaran, Andrew Chiao, Cara Safon, Samantha Burkhart, Harry Jung, Victor Lee, Marina MacKinnon, Aarohi Rede, Marie Vearling, Sophie Li, Christina Wang, Tim Levengood, María Jordán P. Emma Chistolini
DOI: 10.5066/p9p6wi44
title: Analysis of Escherichia coli, total recoverable iron, and dissolved selenium concentrations and loads for selected 303(d) listed segments in the Grand Valley, western Colorado, 1991-2018 (ver. 3.0, August 2021)

description: The U.S. Geological Survey (USGS), in cooperation with the Grand Valley Drainage District and the Colorado Water Conservation Board, conducted a loading analysis for selected constituents and tributaries to the Colorado River in the Grand Valley, western Colorado, using data from 1991 to 2018, to characterize concentrations, stream loading, and load reductions for Escherichia coli, total recoverable iron, and dissolved selenium for stream segments on the State of Colorado 303(d) list of impaired waters. Escherichia coli, total recoverable iron, and dissolved selenium concentrations and streamflow data were compiled from the Water Quality Portal (WQP). The data tables include information on sites, data collection time periods, concentrations, computed loads, and regression model diagnostics. Dissolved selenium annual loads, percentage load reductions required to meet State regulatory standards, mean daily loads computed for irrigation and nonirrigation seasons, and regression model diagnostics and results are presented for sites where sufficient data were available. First posted February 2020 Revised August 2020, version 2.0
DOI: 10.5063/cj8bw6
title: Salmon age, sex, and length data from Bristol Bay, Alaska, 1957-2009

description: Age, sex, and length (ASL) data provide population dynamics information that can indicate how population trends occur and may be changing. These data can help researchers estimate population growth rates, age-class distribution, and population demographics. Knowing population demographics, growth rates and trends is particularly valuable to fisheries managers who must perform population assessments to inform management decisions. These data are therefore important in valuable fisheries like the salmon fisheries of Alaska. This dataset includes age, sex, and length data compiled from annual sampling of commercial and subsistence salmon harvests and research projects in Bristol Bay, Alaska from 1957-2009. It includes data on five salmon species: chinook, chum, coho, pink, and sockeye. Age estimates were made by examining scales or bony structures (e.g. otoliths - ear bones). Scales were removed from the side of the fish; usually the left side above the lateral line. Scales or bony structures were then mounted on gummed cards and pressed on acetate to make an impression. The number of freshwater and saltwater annuli (i.e. rings) was counted to estimate freshwater and saltwater ages in years. Fish sex was determined by either examining external morphology (eg. head and belly shape) or internal sex organ. Length was measured in millimeters, generally from mid-eye to the fork of the tail. This data package includes a .csv of formatted ASL data (ASL_formatted_BristolBay.csv), an R script detailing the data processing steps (ASL_Formatting_BristolBay.R), the original .csv file (BB_ASL.csv), and the Microsoft Access Database file from which the original .csv was extracted (ADFG_Bistol Bay ASL and count.mdb).
DOI: 10.6084/m9.figshare.15167316.v1
title: Table1.xlsx

description: Table 1 Raw data
DOI: 10.6084/m9.figshare.15167316
title: Table1.xlsx

description: Table 1 Raw data
DOI: 10.5063/f11r6nss
title: Chinook salmon age, sex, and length data from major rivers in Southeast Alaska, 1988-2017

description: Age, sex and length data provide population dynamics information that can indicate how populations trends occur and may be changing. These data can help researchers estimate population growth rates, age-class distribution and population demographics. Knowing population demographics, growth rates and trends is particularly valuable to fisheries managers who must perform population assessments to inform management decisions. These data are therefore particularly important in valuable fisheries like the salmon fisheries of Alaska. This dataset includes age, sex and length data compiled from annual sampling of commercial and subsistence salmon harvests and research projects in the Upper Cook Inlet. It includes data on five salmon species: chinook, chum, coho, pink and sockeye. Age estimates were made by examining scales or bony structures (e.g. otoliths - ear bones). Scales were removed from the side of the fish; usually the left side above the lateral line. Scales or bony structures were then mounted on gummed cards and pressed on acetate to make an impression. The number of freshwater and saltwater annuli (i.e. rings) was counted to estimate age in years. Age is recorded in European Notation, which is a method of recording both fresh and saltwater annuli. For example, for a fish that spent one year in freshwater and 3 years in saltwater, its age is recorded as 1.3. The total fish age is the sum of the first and second numbers, plus one to account for the time between deposition and emergence. Therefore the fish in this example is 5 years old. Fish sex was determined by either examining external morphology (eg. head and belly shape) or internal sex organ. Length was measured in millimeters, generally from mid-eye to the fork of the tail. This dataset includes samples of Chinook salmon from 4 major rivers in Southeast Alaska: the Chilkat River, Stikine River, Taku River, and Unuk River. One original file is included for each river, in addition to a reformatting script, and a reformatted merged file (ASL_formatted_SoutheastSupplement.csv).
DOI: 10.5063/f1zw1j77
title: Sockeye salmon age measurements from scale data, Alaska, 2011-2017

description: This dataset contains digitized scale measurement data from sockeye salmon scales taken in Alaska. The locations where scales were sampled are the Copper River, Coghill River, Egegik River, and Hugh Smith Lake. Salmon scales are aged by examining growth annuli on the scale. Sockeye salmon typically spend one to two winters in fresh water, and one to three winters in the ocean prior to returning to freshwater to spawn. Growth during summer months is rapid, and increases the size of the scale by widely spaced circular rings (circuli). Slow growth during winter months leads to more narrowly spaced circuli. In this dataset, measurements are presented as the length (in millimeters) between each circuli. Accompanying these individual measurements is the established age of the fish (in European notation, where a 13 would be 1 year in fresh water and 3 in the ocean), the sex of the fish, and the length of the fish. Included in this dataset are the original excel files for each aged stock, an Rmarkdown document which reformats and merges these files, and a csv file of all of the data contained within the excel files. The included PDF document details the methods for measuring annuli more clearly.