cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.14774405.v1
title: Coaching paraeducators to implement functional communication training involving augmentative and alternative communication for students with autism spectrum disorder

description: Paraeducators play an important role in assisting teachers and other professionals to support students with autism spectrum disorder (ASD), including delivering positive behavioral supports to those students who engage in persistent challenging behavior. The purpose of this multiple baseline design across participants study was to support paraeducators to implement functional communication training (FCT) to address challenging behavior among three students with ASD who used augmentative and alternative communication (AAC). Paraeducators implemented FCT with high levels of fidelity after participating in an initial training session and follow-up coaching and generally found the initial training and coaching strategies to be effective and feasible. Reductions in challenging behavior were variable across student participants. Implications for practice and future research directions are discussed in relation to FCT for students with ASD who use AAC and paraeducator training.
DOI: 10.5063/dn43gr
title: Lower Cook Inlet Salmon Escapement Database, 1927–2018

description: This database contains salmon escapement data collected primarily by the Alaska Department of Fish and Game, Division of Commercial Fisheries (ADF&amp;amp;amp;amp;G-CF), in the Lower Cook Inlet (LCI) management area in southcentral Alaska. To facilitate informed inseason management of commercial fisheries targeting Pacific salmon Oncorhynchus spp., ADF&amp;amp;amp;amp;G-CF uses a variety of methods to monitor escapement on select index streams in LCI (e.g., aerial/ground survey, weir, remote video). Aerial and ground surveyors make periodic counts of sockeye O. nerka, chum O. keta, and pink O. gorbuscha salmon throughout the duration of their respective runs, whereas weir and remote video projects document daily fish passage. Fishery managers use these data daily to manipulate time and area fishery openings/closures to assure that the final escapement level for monitored stocks falls within their individual escapement goal ranges. At the end of the season, periodic aerial and ground survey counts are used to calculate a final escapement index for each stream based on the area-under-the-curve method (AUC; pink and chum salmon) or the peak survey count (sockeye salmon). This LCI salmon escapement database spans the period 1927–2018, which includes data collected by federal fisheries personnel prior to Alaska statehood (1959). The database is comprised of 6 related tables and 1 stand-alone table. Four of the related tables are lookup tables defining primary key fields that are linked to the main data tables. The 2 linked main data tables (1_Escapement Header and 2_Escapement Data) respectively contain relevant details for each survey/escapement monitoring project conducted (e.g., survey ID, date, survey type, survey conditions, etc.) and the fine scale results for each survey ID (e.g., live/dead count by species, stream, stream section, etc.). The escapement data table includes XY coordinates for counts (typically stratified by stream section) so the data can be viewed/analyzed spatially. Finally, because it may be difficult for users of this database to convert individual survey counts into final escapement indices, this database also includes a stand-alone table (3_Reported Escapement) that provides final escapements by stock, species, and year, as well as associated information such as the method used to derive the escapement. This dataset record includes the Microsoft Access database, in addition to plain text exports of each of the tables within that database.
DOI: 10.25345/c5d54g
title: MassIVE MSV000087980 - GNPS_RESIVEG_Caracterization of bioactive plants_RFV_DBS121_DBS136
title: Characterization and Molecular Networking of bioactive plants of Lippia.
DOI: 10.5281/zenodo.5186442
title: Raw data repository for the article: "High spatial coherence and short pulse duration revealed by the Hanbury Brown and Twiss interferometry at the European XFEL"

description: Raw data depository for the article in the Structural Dynamics journal: DOI: 10.1063/4.0000127. Details with the file information are given in the file "HBT_XFEL_Data_set_Info_final.pdf"
DOI: 10.5281/zenodo.5186441
title: Raw data repository for the article: "High spatial coherence and short pulse duration revealed by the Hanbury Brown and Twiss interferometry at the European XFEL"

description: Raw data depository for the article in the Structural Dynamics journal: DOI: 10.1063/4.0000127. Details with the file information are given in the file "HBT_XFEL_Data_set_Info_final.pdf"
DOI: 10.6084/m9.figshare.15157584
title: Output - With Diffusion, Uniform Density, Diffusion Coefficient = 1e1, Time = 100

description: Output - With Diffusion, Uniform Density, Diffusion Coefficient = 1e1, Time = 100
DOI: 10.6084/m9.figshare.15157584.v1
title: Output - With Diffusion, Uniform Density, Diffusion Coefficient = 1e1, Time = 100

description: Output - With Diffusion, Uniform Density, Diffusion Coefficient = 1e1, Time = 100
DOI: 10.5255/ukda-sn-855123
title: Technology Transfer Survey: Ethiopia, 2016-2017

description: This survey was administered by Ethiopia’s Central Statistical Agency (CSA) in conjunction with their survey of Large and Medium Scale Manufacturing industries in 2017. The survey was administered to plant managers and was designed to elicit information about (i) formal links between foreign and domestic firms; (ii) the mechanisms by which knowledge is transferred and (iii) the benefits obtained from foreign firms. This report outlines and describes basic information about the data that may be helpful for users.
DOI: 10.3886/e116160v1-93880
title: Replication data for: Unemployment Insurance as a Housing Market Stabilizer

description: This paper studies the impact of unemployment insurance (UI) on the housing market. Exploiting heterogeneity in UI generosity across US states and over time, we find that UI helps the unemployed avoid mortgage default. We estimate that UI expansions during the Great Recession prevented more than 1.3 million foreclosures and insulated home values from labor market shocks. The results suggest that policies that make mortgages more affordable can reduce foreclosures even when borrowers are severely underwater. An optimal UI policy during housing downturns would weigh, among other benefits and costs, the deadweight losses avoided from preventing mortgage defaults.
DOI: 10.6084/m9.figshare.15157647
title: Project1.pzfx

description: cancer research<br>
DOI: 10.5255/ukda-sn-855130
title: Technology Transfer Survey: Tanzania, 2016

description: This survey was administered by Tanzania’s National Bureau of Statistics (NBS) in conjunction with their Annual Survey of Industrial Production (ASIP) in 2016. The survey was administered to plant managers and was designed to elicit information about (i) formal links between foreign and domestic firms; (ii) the mechanisms by which knowledge is transferred and (iii) the benefits obtained from foreign firms.
DOI: 10.21227/fy48-ew50
title: Journal Bearing Wear Dataset

description: Journal Bearing wear experiments with acoustic emission signal
DOI: 10.5517/ccdc.csd.cc27tthd
title: CCDC 2080394: Experimental Crystal Structure Determination

description: Related Article: Shuai Wang, Haiyang Shu, Xianchao Han, Xiaofu Wu, Hui Tong, Lixiang Wang|2021|J.Mater.Chem.C|9|9907|doi:10.1039/D1TC02324A
DOI: 10.5517/ccdc.csd.cc27xc3n
title: CCDC 2082831: Experimental Crystal Structure Determination

description: Related Article: Shan-Shan Gong, Rui Kong, Chunhong Zheng, Congbin Fan, Chengjun Wang, Dong-Zhao Yang, Zhen-Zhen Chen, Shuwang Duo, Shouzhi Pu, Qi Sun|2021|J.Mater.Chem.C|9|10029|doi:10.1039/D1TC02301B
DOI: 10.5517/ccdc.csd.cc27y2mx
title: CCDC 2083529: Experimental Crystal Structure Determination

description: Related Article: Shan-Shan Gong, Rui Kong, Chunhong Zheng, Congbin Fan, Chengjun Wang, Dong-Zhao Yang, Zhen-Zhen Chen, Shuwang Duo, Shouzhi Pu, Qi Sun|2021|J.Mater.Chem.C|9|10029|doi:10.1039/D1TC02301B
DOI: 10.5517/ccdc.csd.cc27y74l
title: CCDC 2083669: Experimental Crystal Structure Determination

description: Related Article: Shan-Shan Gong, Rui Kong, Chunhong Zheng, Congbin Fan, Chengjun Wang, Dong-Zhao Yang, Zhen-Zhen Chen, Shuwang Duo, Shouzhi Pu, Qi Sun|2021|J.Mater.Chem.C|9|10029|doi:10.1039/D1TC02301B
DOI: 10.5517/ccdc.csd.cc27y75m
title: CCDC 2083670: Experimental Crystal Structure Determination

description: Related Article: Shan-Shan Gong, Rui Kong, Chunhong Zheng, Congbin Fan, Chengjun Wang, Dong-Zhao Yang, Zhen-Zhen Chen, Shuwang Duo, Shouzhi Pu, Qi Sun|2021|J.Mater.Chem.C|9|10029|doi:10.1039/D1TC02301B
DOI: 10.5517/ccdc.csd.cc27y76n
title: CCDC 2083671: Experimental Crystal Structure Determination

description: Related Article: Shan-Shan Gong, Rui Kong, Chunhong Zheng, Congbin Fan, Chengjun Wang, Dong-Zhao Yang, Zhen-Zhen Chen, Shuwang Duo, Shouzhi Pu, Qi Sun|2021|J.Mater.Chem.C|9|10029|doi:10.1039/D1TC02301B
DOI: 10.5517/ccdc.csd.cc27y77p
title: CCDC 2083672: Experimental Crystal Structure Determination

description: Related Article: Shan-Shan Gong, Rui Kong, Chunhong Zheng, Congbin Fan, Chengjun Wang, Dong-Zhao Yang, Zhen-Zhen Chen, Shuwang Duo, Shouzhi Pu, Qi Sun|2021|J.Mater.Chem.C|9|10029|doi:10.1039/D1TC02301B
DOI: 10.5517/ccdc.csd.cc27y78q
title: CCDC 2083673: Experimental Crystal Structure Determination

description: Related Article: Shan-Shan Gong, Rui Kong, Chunhong Zheng, Congbin Fan, Chengjun Wang, Dong-Zhao Yang, Zhen-Zhen Chen, Shuwang Duo, Shouzhi Pu, Qi Sun|2021|J.Mater.Chem.C|9|10029|doi:10.1039/D1TC02301B
DOI: 10.5517/ccdc.csd.cc27y79r
title: CCDC 2083674: Experimental Crystal Structure Determination

description: Related Article: Shan-Shan Gong, Rui Kong, Chunhong Zheng, Congbin Fan, Chengjun Wang, Dong-Zhao Yang, Zhen-Zhen Chen, Shuwang Duo, Shouzhi Pu, Qi Sun|2021|J.Mater.Chem.C|9|10029|doi:10.1039/D1TC02301B
DOI: 10.5517/ccdc.csd.cc27y7bs
title: CCDC 2083675: Experimental Crystal Structure Determination

description: Related Article: Shan-Shan Gong, Rui Kong, Chunhong Zheng, Congbin Fan, Chengjun Wang, Dong-Zhao Yang, Zhen-Zhen Chen, Shuwang Duo, Shouzhi Pu, Qi Sun|2021|J.Mater.Chem.C|9|10029|doi:10.1039/D1TC02301B
DOI: 10.5517/ccdc.csd.cc27y7ct
title: CCDC 2083676: Experimental Crystal Structure Determination

description: Related Article: Shan-Shan Gong, Rui Kong, Chunhong Zheng, Congbin Fan, Chengjun Wang, Dong-Zhao Yang, Zhen-Zhen Chen, Shuwang Duo, Shouzhi Pu, Qi Sun|2021|J.Mater.Chem.C|9|10029|doi:10.1039/D1TC02301B
DOI: 10.5517/ccdc.csd.cc27y7dv
title: CCDC 2083677: Experimental Crystal Structure Determination

description: Related Article: Shan-Shan Gong, Rui Kong, Chunhong Zheng, Congbin Fan, Chengjun Wang, Dong-Zhao Yang, Zhen-Zhen Chen, Shuwang Duo, Shouzhi Pu, Qi Sun|2021|J.Mater.Chem.C|9|10029|doi:10.1039/D1TC02301B
DOI: 10.5517/ccdc.csd.cc27y7fw
title: CCDC 2083678: Experimental Crystal Structure Determination

description: Related Article: Shan-Shan Gong, Rui Kong, Chunhong Zheng, Congbin Fan, Chengjun Wang, Dong-Zhao Yang, Zhen-Zhen Chen, Shuwang Duo, Shouzhi Pu, Qi Sun|2021|J.Mater.Chem.C|9|10029|doi:10.1039/D1TC02301B
DOI: 10.5517/ccdc.csd.cc27y7gx
title: CCDC 2083679: Experimental Crystal Structure Determination

description: Related Article: Shan-Shan Gong, Rui Kong, Chunhong Zheng, Congbin Fan, Chengjun Wang, Dong-Zhao Yang, Zhen-Zhen Chen, Shuwang Duo, Shouzhi Pu, Qi Sun|2021|J.Mater.Chem.C|9|10029|doi:10.1039/D1TC02301B
DOI: 10.5517/ccdc.csd.cc27y7hy
title: CCDC 2083680: Experimental Crystal Structure Determination

description: Related Article: Shan-Shan Gong, Rui Kong, Chunhong Zheng, Congbin Fan, Chengjun Wang, Dong-Zhao Yang, Zhen-Zhen Chen, Shuwang Duo, Shouzhi Pu, Qi Sun|2021|J.Mater.Chem.C|9|10029|doi:10.1039/D1TC02301B
DOI: 10.5517/ccdc.csd.cc27y7jz
title: CCDC 2083681: Experimental Crystal Structure Determination

description: Related Article: Shan-Shan Gong, Rui Kong, Chunhong Zheng, Congbin Fan, Chengjun Wang, Dong-Zhao Yang, Zhen-Zhen Chen, Shuwang Duo, Shouzhi Pu, Qi Sun|2021|J.Mater.Chem.C|9|10029|doi:10.1039/D1TC02301B
DOI: 10.5517/ccdc.csd.cc27y7k0
title: CCDC 2083682: Experimental Crystal Structure Determination

description: Related Article: Shan-Shan Gong, Rui Kong, Chunhong Zheng, Congbin Fan, Chengjun Wang, Dong-Zhao Yang, Zhen-Zhen Chen, Shuwang Duo, Shouzhi Pu, Qi Sun|2021|J.Mater.Chem.C|9|10029|doi:10.1039/D1TC02301B
DOI: 10.5517/ccdc.csd.cc27y7l1
title: CCDC 2083683: Experimental Crystal Structure Determination

description: Related Article: Shan-Shan Gong, Rui Kong, Chunhong Zheng, Congbin Fan, Chengjun Wang, Dong-Zhao Yang, Zhen-Zhen Chen, Shuwang Duo, Shouzhi Pu, Qi Sun|2021|J.Mater.Chem.C|9|10029|doi:10.1039/D1TC02301B
DOI: 10.5517/ccdc.csd.cc27y7m2
title: CCDC 2083684: Experimental Crystal Structure Determination

description: Related Article: Shan-Shan Gong, Rui Kong, Chunhong Zheng, Congbin Fan, Chengjun Wang, Dong-Zhao Yang, Zhen-Zhen Chen, Shuwang Duo, Shouzhi Pu, Qi Sun|2021|J.Mater.Chem.C|9|10029|doi:10.1039/D1TC02301B
DOI: 10.5517/ccdc.csd.cc27y73k
title: CCDC 2083668: Experimental Crystal Structure Determination

description: Related Article: Shan-Shan Gong, Rui Kong, Chunhong Zheng, Congbin Fan, Chengjun Wang, Dong-Zhao Yang, Zhen-Zhen Chen, Shuwang Duo, Shouzhi Pu, Qi Sun|2021|J.Mater.Chem.C|9|10029|doi:10.1039/D1TC02301B
DOI: 10.5517/ccdc.csd.cc27z5kz
title: CCDC 2084581: Experimental Crystal Structure Determination

description: Related Article: Rossella Chiara, Marta Morana, Massimo Boiocchi, Mauro Coduri, Marinella Striccoli, Francesco Fracassi, Andrea Listorti, Arup Mahata, Paolo Quadrelli, Mattia Gaboardi,Chiara Milanese, Luca Bindi, Filippo De Angelis, Lorenzo Malavasi|2021|J.Mater.Chem.C|9|9899|doi:10.1039/D1TC02394B
DOI: 10.5517/ccdc.csd.cc27z5l0
title: CCDC 2084582: Experimental Crystal Structure Determination

description: Related Article: Rossella Chiara, Marta Morana, Massimo Boiocchi, Mauro Coduri, Marinella Striccoli, Francesco Fracassi, Andrea Listorti, Arup Mahata, Paolo Quadrelli, Mattia Gaboardi,Chiara Milanese, Luca Bindi, Filippo De Angelis, Lorenzo Malavasi|2021|J.Mater.Chem.C|9|9899|doi:10.1039/D1TC02394B
DOI: 10.5517/ccdc.csd.cc27z5m1
title: CCDC 2084583: Experimental Crystal Structure Determination

description: Related Article: Rossella Chiara, Marta Morana, Massimo Boiocchi, Mauro Coduri, Marinella Striccoli, Francesco Fracassi, Andrea Listorti, Arup Mahata, Paolo Quadrelli, Mattia Gaboardi,Chiara Milanese, Luca Bindi, Filippo De Angelis, Lorenzo Malavasi|2021|J.Mater.Chem.C|9|9899|doi:10.1039/D1TC02394B
DOI: 10.5066/p9o32pgv
title: Propensity of cold air drainage index and related variables

description: Cold air drainage down slopes may form cold air pools in valleys and surface depressions. These cold air pools can significantly affect ecosystem processes, agricultural crops, and air quality. Rupp et al. (2021, Theoretical and Applied Climatology, https://doi.org/10.1007/s00704-021-03712-y) proposed a propensity of cold air drainage index to represent the likelihood of occurrence of clear-sky nocturnal cold-air drainage. Using this index, they evaluated the potential response of cold air drainage to warming resulting from anthropogenic greenhouse gases, specifically CO2. This data release consists of the data displayed in the main text and supporting information figures of Rupp et al. (2021). The data include relative decreases in the propensity of cold air drainage index by 2100 CE with and without the direct effect of increased atmospheric CO2, effective CO2 emissivity, and the H2O-CO2 overlap correction needed to account for the overlap of H2O and CO2 spectral absorption bands. The methods used to create these data are described in Rupp et al. (2021). Additional details are provided in the metadata (Rupp_et_al_2021_data_release_metadata.xml) and data dictionary (Rupp_et_al_2021_data_dictionary.csv) files.
DOI: 10.6084/m9.figshare.12756020
title: The association of smoking status with SARS-CoV-2 infection, hospitalisation and mortality from COVID-19: A living rapid evidence review and Bayesian meta-analyses (version 12) - Data

description: Data extraction from identified articles reporting on SARS-CoV-2 infection, COVID-19 hospitalisation, severity or mortality.<br>Datset has been updated to v12 with searches up to the 2021-07-18<br><br>The data is accessed through the reference displayed below<br>The article published in <i>Addiction</i> is available here:https://doi.org/10.1111/add.15276
DOI: 10.6084/m9.figshare.12756020.v7
title: The association of smoking status with SARS-CoV-2 infection, hospitalisation and mortality from COVID-19: A living rapid evidence review and Bayesian meta-analyses (version 12) - Data

description: Data extraction from identified articles reporting on SARS-CoV-2 infection, COVID-19 hospitalisation, severity or mortality.<br>Datset has been updated to v12 with searches up to the 2021-07-18<br><br>The data is accessed through the reference displayed below<br>The article published in <i>Addiction</i> is available here:https://doi.org/10.1111/add.15276
DOI: 10.6084/m9.figshare.12756020.v6
title: The association of smoking status with SARS-CoV-2 infection, hospitalisation and mortality from COVID-19: A living rapid evidence review and Bayesian meta-analyses (version 11) - Data

description: Data extraction from identified articles reporting on SARS-CoV-2 infection, COVID-19 hospitalisation, severity or mortality.<br>Datset has been updated to v10 with searches up to the 15th of December 2020<br><br>The data is accessed through the reference displayed below<br>The article published in <i>Addiction</i> is available here:https://doi.org/10.1111/add.15276
DOI: 10.3886/e119446v116
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: 10.6084/m9.figshare.15157707
title: Sawmill Slough Raw data.zip

description: This data was collected in a subtropical forest in northeast Florida. Several datasets are included: 1) time series of air temperature, relative humidity, vapor pressure deficit, and soil moisture under ambient and experimentally warmed conditions, 2) time series of in situ estimates of leaf gas-exchange under ambient and warmed conditions (including estimates of net photosynthesis, stomatal conductance, transpiration, leaf temperature, etc.), 3) raw data for photosynthetic CO2 response curves, and 4) plant biomass and leaf trait data.
DOI: 10.5063/902252
title: Lower Cook Inlet Salmon Escapement Database, 1927–2018

description: This database contains salmon escapement data collected primarily by the Alaska Department of Fish and Game, Division of Commercial Fisheries (ADF&amp;amp;amp;amp;amp;G-CF), in the Lower Cook Inlet (LCI) management area in southcentral Alaska. To facilitate informed inseason management of commercial fisheries targeting Pacific salmon Oncorhynchus spp., ADF&amp;amp;amp;amp;amp;G-CF uses a variety of methods to monitor escapement on select index streams in LCI (e.g., aerial/ground survey, weir, remote video). Aerial and ground surveyors make periodic counts of sockeye O. nerka, chum O. keta, and pink O. gorbuscha salmon throughout the duration of their respective runs, whereas weir and remote video projects document daily fish passage. Fishery managers use these data daily to manipulate time and area fishery openings/closures to assure that the final escapement level for monitored stocks falls within their individual escapement goal ranges. At the end of the season, periodic aerial and ground survey counts are used to calculate a final escapement index for each stream based on the area-under-the-curve method (AUC; pink and chum salmon) or the peak survey count (sockeye salmon). This LCI salmon escapement database spans the period 1927–2018, which includes data collected by federal fisheries personnel prior to Alaska statehood (1959). The database is comprised of 6 related tables and 1 stand-alone table. Four of the related tables are lookup tables defining primary key fields that are linked to the main data tables. The 2 linked main data tables (1_Escapement Header and 2_Escapement Data) respectively contain relevant details for each survey/escapement monitoring project conducted (e.g., survey ID, date, survey type, survey conditions, etc.) and the fine scale results for each survey ID (e.g., live/dead count by species, stream, stream section, etc.). The escapement data table includes XY coordinates for counts (typically stratified by stream section) so the data can be viewed/analyzed spatially. Finally, because it may be difficult for users of this database to convert individual survey counts into final escapement indices, this database also includes a stand-alone table (3_Reported Escapement) that provides final escapements by stock, species, and year, as well as associated information such as the method used to derive the escapement. This dataset record includes the Microsoft Access database, in addition to plain text exports of each of the tables within that database.