cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/e154381
title: Medical Expenditure Panel Survey (MEPS) for Dementia Researchers, 2015-2019

description: This series of code and corresponding data files are intended for use in cognitive decline and Alzheimer’s disease and related dementias (ADRD) research. The files include five datasets derived from the 2015-2019 Medical Expenditure Panel Survey (MEPS). MEPS provides users with detailed information on the cost and use of health care and health insurance coverage in the U.S., surveying families and individuals, their medical providers, and employers. <br><br>The provided datasets include sociodemographic information on respondents’ census region, age, sex, marital status, race, and education level, cognition questions, and health care expenditures and use from the Household Component Full-Year Consolidated Data File. These data were merged onto the Medical Components File identifying respondents with ADRD or other cognitive impairments using truncated ICD-9/ICD-10 codes. Brief and detailed summaries of the variables available in these datasets along with more detailed descriptions of performed calculations can be found in the provided data dictionaries. SAS, Stata, and CSV file formats are provided as are the full coding scripts used in both SAS and Stata.
description: perwtf should be used for person-level analyses; famwtf should be used for family-level analyses.
description: Response Rates: See MEPS website
description: Complex survey data with a stratified, clustered sampling design
description: Sample of families and individuals in selected communities across the U.S., drawn from a nationally representative subsample of households that participated in the prior year’s National Health Interview Survey (NHIS). NHIS samples from noninstitutionalized U.S. Adults and families.<br> IMPORTANT NOTE: NHIS does not sample from persons in long-term care institutions (e.g., nursing homes). Smallest Geographic Unit: U.S. Census Region
description: computer-assisted personal interview (CAPI); other; Users of this resource should be familiar with complex survey design and appropriately apply the sample weights, strata, and primary sampling units for any analyses. perwtf should be used for person-level analyses; famwtf should be used for family-level analyses. Cognition related questions were only asked of adults 18-years and older. Missingness in the claims variables (e.g., adrdci) indicates that a person was not represented in the medical components file.<br><br>MEPS uses a panel design where respondents answer 5 series of questions across two calendar years. If users wish to combine multiple years of data, they should be aware that some respondents may appear more than once. <br><br>The list of truncated ICD-9 and ICD-10 codes are below. <br>ICD-9 (2015 only): 290, 294, 331, 797 ICD-10: F01, F02, F03, F04, G30, G31, R41
DOI: 10.3886/e154421v1
title: Behavioral Risk Factor Surveillance System (BRFSS) for Dementia Researchers, 2015-2019

description: This code and corresponding data files are intended for use in cognitive decline and Alzheimer’s disease and related dementias (ADRD) research. The files include five years of cleaned datasets derived from the 2015-2019 years of the Behavioral Risk Factor Surveillance System (BRFSS). BRFSS is a system of phone surveys that collect state data on health-related risk behaviors, chronic health conditions, and the use of preventive services in the U.S. adult population. <br><br>BRFSS is conducted in three waves, or “versions,” each year. Core questionnaires from BRFSS must be asked of all respondents in each wave and are asked in all 50 U.S. states, D.C., and some U.S. territories for 2015-2019. Individual states may opt to include additional modules, such as the Cognitive Decline Module, that may be asked in some or all the waves. This project uses the “full year” files, meaning that optional modules are only included for a state if they asked it in all three waves. <br><br>The provided datasets include cleaned sociodemographic information on respondents’ state, age, sex, race, education, and marital status from the full year data files (e.g., “2016 BRFSS Data”). The datasets also include the Caregiver Module and the Cognitive Decline Module for states which included either in all three waves of data collection. All states are included regardless of Caregiver or Cognitive Decline Module use. The files were constructed to allow for users to append multiple years of data for longitudinal analysis. Brief and detailed summaries of the variables available in these datasets along with more detailed descriptions of performed data cleaning can be found in the provided data dictionaries. Users may also refer to the provided “Overview of variables across years” for a quick look at variation in questions across years. SAS, Stata, and CSV data file formats are provided as are the full coding scripts used in Stata.
description: For all years, users should set the weight to the final weight (_llcpwt), strata should be set to the sample design stratification variable (_ststr), and cluster/PSU should be set to the primary sampling using (_psu).<br>
description: Presence of Common Scales: Caregiving Module; Cognitive Decline Module
description: Complex survey data with a stratified, clustered sampling design, weighted to the state-level
description: U.S. and U.S. territory adults, weighted to the state level. Smallest Geographic Unit: U.S. State / territory
description: telephone interview; Users of this resource should be familiar with complex survey design and appropriately apply the sample weights, strata, and cluster/primary sampling unit for any analyses. For all years, users should set the weight to the final weight (_llcpwt), strata should be set to the sample design stratification variable (_ststr), and cluster/PSU should be set to the primary sampling using (_psu). <br><br>Note that the Cognitive Decline Modules was only asked of respondents age 45 and older.
DOI: 10.5281/zenodo.4672444
title: Reproduction package for the paper "A search for radio emission from double-neutron star merger GW190425 using Apertif"

description: This is a basic reproduction package for the paper "A search for radio emission from double-neutron star merger GW190425 using Apertif".
description: This research was supported by Vici research program 'ARGO' with project number 639.043.815, financed by the Dutch Research Council (NWO). Furthermore, we acknowledge funding from the European Research Council under the European Union's Seventh Framework Programme (FP/2007-2013)/ERC Grant Agreement No. 617199 ('ALERT') and (FP/2007-2013)/ERC Grant Agreement No. 291531 ('HIStoryNU'). This research was also supported by the WISE research programme, which is financed by NWO, and the Netherlands eScience Center (NLeSC) under grant ASDI.15.406. We make use of data from the Apertif system installed at the Westerbork Synthesis Radio Telescope owned by ASTRON. ASTRON, the Netherlands Institute for Radio Astronomy, is an institute of NWO.
DOI: 10.5281/zenodo.5737968
title: MOFSimplify: Machine Learning Models with Extracted Stability Data of Three Thousand Metal-Organic Frameworks

description: Solvent removal stability and thermal stability associated with structurally characterized metal organic frameworks.
description: Getting rid of DS_store files that cluttered the repo.
DOI: 10.5281/zenodo.5508356
title: MOFSimplify: Machine Learning Models with Extracted Stability Data of Three Thousand Metal-Organic Frameworks

description: Solvent removal stability and thermal stability associated with structurally characterized metal organic frameworks.
description: Getting rid of DS_store files that cluttered the repo.
DOI: 10.5281/zenodo.5744877
title: Reproduction package for the paper "A search for radio emission from double-neutron star merger GW190425 using Apertif"

description: This is a basic reproduction package for the paper "A search for radio emission from double-neutron star merger GW190425 using Apertif".
description: This research was supported by Vici research program 'ARGO' with project number 639.043.815, financed by the Dutch Research Council (NWO). Furthermore, we acknowledge funding from the European Research Council under the European Union's Seventh Framework Programme (FP/2007-2013)/ERC Grant Agreement No. 617199 ('ALERT') and (FP/2007-2013)/ERC Grant Agreement No. 291531 ('HIStoryNU'). This research was also supported by the WISE research programme, which is financed by NWO, and the Netherlands eScience Center (NLeSC) under grant ASDI.15.406. We make use of data from the Apertif system installed at the Westerbork Synthesis Radio Telescope owned by ASTRON. ASTRON, the Netherlands Institute for Radio Astronomy, is an institute of NWO.
DOI: 10.5281/zenodo.5744881
title: Reproduction package for the paper "A search for radio emission from double-neutron star merger GW190425 using Apertif"

description: This is a basic reproduction package for the paper "A search for radio emission from double-neutron star merger GW190425 using Apertif".
description: This research was supported by Vici research program 'ARGO' with project number 639.043.815, financed by the Dutch Research Council (NWO). Furthermore, we acknowledge funding from the European Research Council under the European Union's Seventh Framework Programme (FP/2007-2013)/ERC Grant Agreement No. 617199 ('ALERT') and (FP/2007-2013)/ERC Grant Agreement No. 291531 ('HIStoryNU'). This research was also supported by the WISE research programme, which is financed by NWO, and the Netherlands eScience Center (NLeSC) under grant ASDI.15.406. We make use of data from the Apertif system installed at the Westerbork Synthesis Radio Telescope owned by ASTRON. ASTRON, the Netherlands Institute for Radio Astronomy, is an institute of NWO.
DOI: 10.5281/zenodo.4672443
title: Reproduction package for the paper "A search for radio emission from double-neutron star merger GW190425 using Apertif"

description: This is a basic reproduction package for the paper "A search for radio emission from double-neutron star merger GW190425 using Apertif".
description: This research was supported by Vici research program 'ARGO' with project number 639.043.815, financed by the Dutch Research Council (NWO). Furthermore, we acknowledge funding from the European Research Council under the European Union's Seventh Framework Programme (FP/2007-2013)/ERC Grant Agreement No. 617199 ('ALERT') and (FP/2007-2013)/ERC Grant Agreement No. 291531 ('HIStoryNU'). This research was also supported by the WISE research programme, which is financed by NWO, and the Netherlands eScience Center (NLeSC) under grant ASDI.15.406. We make use of data from the Apertif system installed at the Westerbork Synthesis Radio Telescope owned by ASTRON. ASTRON, the Netherlands Institute for Radio Astronomy, is an institute of NWO.
DOI: 10.4119/unibi/2918890
title: Data to "Does the early social environment prepare individuals for the future? A match-mismatch experiment in female wild cavies"

description: Does the early social environment prepare individuals for the future? A match-mismatch experiment in female wild cavies
DOI: 10.5517/ccdc.csd.cc285j11
title: CCDC 2090672: Experimental Crystal Structure Determination

description: Related Article: María Gracia Retamosa, Andrea Ruiz-Olalla, Maddalen Agirre, Abel Cózar, Tamara Bello, Fernando P. Cossío|2021|Chem.-Eur.J.|27|15671|doi:10.1002/chem.202102394
DOI: 10.5517/ccdc.csd.cc1kqrbc
title: CCDC 1451833: Experimental Crystal Structure Determination

description: Related Article: María Gracia Retamosa, Andrea Ruiz-Olalla, Maddalen Agirre, Abel Cózar, Tamara Bello, Fernando P. Cossío|2021|Chem.-Eur.J.|27|15671|doi:10.1002/chem.202102394
DOI: 10.5281/zenodo.5744892
title: TPACK MIS Dataset

description: <pre>The file contains two sheets. The first one contains the indicators of seven variables; Technological Knowledge, Pedagogical Knowledge, Content Knowledge, Pedagogical Content Knowledge, Technological Pedagogical Knowledge, Technological Content Knowledge, Technological Pedagogical and Content Knowledge which were used for framework analysis. The second sheet includes the results of students' performance prior and after using the mobile interactive system as pre-test and post-test.</pre>
DOI: 10.5281/zenodo.5739416
title: TPACK MIS Dataset

description: <pre>The file contains two sheets. The first one contains the indicators of seven variables; Technological Knowledge, Pedagogical Knowledge, Content Knowledge, Pedagogical Content Knowledge, Technological Pedagogical Knowledge, Technological Content Knowledge, Technological Pedagogical and Content Knowledge which were used for framework analysis. The second sheet includes the results of students' performance prior and after using the mobile interactive system as pre-test and post-test.</pre>
DOI: 10.13012/b2idb-1187851_v1
title: Temperature, dissolved oxygen, and Secchi depth of Illinois Reservoirs

description: This data set describes temperature, dissolved oxygen, and secchi depth in 1-m interval profiles in the deepest point in 10 Illinois reservoirs between the years 1995 and 2016.
DOI: 10.3886/e154381v1
title: Medical Expenditure Panel Survey (MEPS) for Dementia Researchers, 2015-2019

description: This series of code and corresponding data files are intended for use in cognitive decline and Alzheimer’s disease and related dementias (ADRD) research. The files include five datasets derived from the 2015-2019 Medical Expenditure Panel Survey (MEPS). MEPS provides users with detailed information on the cost and use of health care and health insurance coverage in the U.S., surveying families and individuals, their medical providers, and employers. <br><br>The provided datasets include sociodemographic information on respondents’ census region, age, sex, marital status, race, and education level, cognition questions, and health care expenditures and use from the Household Component Full-Year Consolidated Data File. These data were merged onto the Medical Components File identifying respondents with ADRD or other cognitive impairments using truncated ICD-9/ICD-10 codes. Brief and detailed summaries of the variables available in these datasets along with more detailed descriptions of performed calculations can be found in the provided data dictionaries. SAS, Stata, and CSV file formats are provided as are the full coding scripts used in both SAS and Stata.
description: perwtf should be used for person-level analyses; famwtf should be used for family-level analyses.
description: Response Rates: See MEPS website
description: Complex survey data with a stratified, clustered sampling design
description: Sample of families and individuals in selected communities across the U.S., drawn from a nationally representative subsample of households that participated in the prior year’s National Health Interview Survey (NHIS). NHIS samples from noninstitutionalized U.S. Adults and families.<br> IMPORTANT NOTE: NHIS does not sample from persons in long-term care institutions (e.g., nursing homes). Smallest Geographic Unit: U.S. Census Region
description: computer-assisted personal interview (CAPI); other; Users of this resource should be familiar with complex survey design and appropriately apply the sample weights, strata, and primary sampling units for any analyses. perwtf should be used for person-level analyses; famwtf should be used for family-level analyses. Cognition related questions were only asked of adults 18-years and older. Missingness in the claims variables (e.g., adrdci) indicates that a person was not represented in the medical components file.<br><br>MEPS uses a panel design where respondents answer 5 series of questions across two calendar years. If users wish to combine multiple years of data, they should be aware that some respondents may appear more than once. <br><br>The list of truncated ICD-9 and ICD-10 codes are below. <br>ICD-9 (2015 only): 290, 294, 331, 797 ICD-10: F01, F02, F03, F04, G30, G31, R41
DOI: 10.6084/m9.figshare.17099858
title: Drive Cycle Data from the 3D Urban Traffic Simulator (ABM) in Unity (version 1.1.0)

description: This repository contains datasets from the 3D Urban Traffic Simulator ABM:<br>Each vehicle type, PHEV and ICEV were simulated across nine different speed limit adherence and density scenarios. The output data columns are:AgentID: the unique agent identifier.xAxisPos: the x-axis position of the agent.zAxisPos: the y-axis position of the agent.collisions: the total number of times a vehicle has collided with another.topSpeed(mph): the top speed the vehicle is set to achieve throughout its drive cycle.currentSpeed(mph): the current speed of the vehicle in mph.distanceOfTravel(meters): the distance the vehicle has travelled over its drive cycle.raycastLength: the length at which the vehicle can identify objects, 1 - very short to 10 high vision distance.tractionControl: traction control initiated; some vehicles will have traction control, others will not; this is entirely arbitrary.VelocityMagnitude(BETA): the magnitude of the velocity for the vehicle.VehicleMass: the vehicle weight in kg.Downforce: the force applied to the vehicle to create more grip, 0.1 - small force to 10.0 - more force.date-time: date and timestamps for each data point collected, currently its milliseconds and multiple actions by the raw physics engine can occur throughout the simulation. Therefore, large amounts of data points are collected for each run in a short space of time.File path:Data/PHEV or ICEV/- MC1: 10 Vehicles, all vehicles do not adhere to speed limits.- MC2: 10 Vehicles, half of which do not adhere to speed limits.- MC3: 10 Vehicles, all adhere to speed limits.- MC4: 50 Vehicles, all vehicles do not adhere to speed limits.- MC5: 50 Vehicles, half of which do not adhere to speed limits.- MC6: 50 Vehicles, all adhere to speed limits.- MC7: 100 Vehicles, all vehicles do not adhere to speed limits.- MC8: 100 Vehicles, half of which do not adhere to speed limits.- MC9: 100 Vehicles, all adhere to speed limits.
DOI: 10.5281/zenodo.5734898
title: Large EBSD Dataset of Forged Ti64

description: An extremely large EBSD dataset - obtained from an alpha + beta deformed forging measuring approximately 7 x 5 cm with 45’268’880 data points and 68% coverage. Sample prep conducted by Nicholas Byres, EBSD microscopy conducted by Alec Davis.
DOI: 10.5281/zenodo.5734897
title: Large EBSD Dataset of Forged Ti64

description: An extremely large EBSD dataset - obtained from an alpha + beta deformed forging measuring approximately 7 x 5 cm with 45’268’880 data points and 68% coverage. Sample prep conducted by Nicholas Byres, EBSD microscopy conducted by Alec Davis.
DOI: 10.5525/gla.researchdata.1198
title: Temporal Dynamics of Strongly Coupled Epsilon Near-Zero Systems
DOI: 10.13012/b2idb-7904190_v1
title: Data for Design modifications affect bat box temperatures and suitability as maternity habitat

description: This dataset contains daily and hourly temperature measurements in twenty different bat box designs deployed in central Indiana, USA from May to September 2018. Daily and hourly environmental data (temperature, solar radiation, wind speed and direction) are also included for days and hours sampled. Bat box temperature data were reclassified to cool (= 30°C), permissive (30.1–39.9°C), and stressful (&gt;/= 40°C) categories according to known temperature tolerances of temperate-zone bats.
DOI: 10.13012/b2idb-8367769_v2
title: Data for: Evaluating the impacts of cloud processing on resuspended aerosol particles after cloud evaporation using a particle-resolved model

description: This dataset contains simulation results from PartMC-MOSAIC-CAPRAM used in the article ”Eval- uating the impacts of cloud processing on resuspended aerosol particles after cloud evaporation using a particle-resolved model”. In this V2, there are eight folders: one for urban plume simulation to provide the initial particle population for cloud processing, the other four folders are for the four cloud cycles simulated and the last two are for the coagulation cases. Within the urban plume simulation, there are 25 NetCDF files hourly output from PartMC-MOSAIC simulations containing the gas and particle information. Within the four cloud cycle folders, there are 25 subdirectories that contain the cloud processing results for aerosol population from urban plume environment. For each subdirectory, there are 31 NetCDF files out- put every minute from PartMC-MOSAIC-CAPRAM simulations containing aerosol and gas information after aqueous chemistry. Another two folders are for the cases considering Brownian coagulation and sedimentation coalescence. Each contained 93 NetCDF files, produced from repeating the 30-minutes simulations for three times to consider the coagulation randomness. The low polluted case folder includes the simulated cloud processing results for 25 urban plume cases with less aerosol number concentration. This dataset was used to investigate the effects of cloud processing on aerosol mixing state and CCN properties.
DOI: 10.6084/m9.figshare.17100020.v1
title: Hydropower Plants Data.pdf

description: This table entails the data for the 15 hydropower plants located along the Skellefte riven in Sweden <br>
DOI: 10.6084/m9.figshare.17100020
title: Hydropower Plants Data.pdf

description: This table entails the data for the 15 hydropower plants located along the Skellefte riven in Sweden <br>
DOI: 10.5281/zenodo.5744929
title: Raw data for Ultrathin wide-bandgap a-Si:H based solar cells for transparent photovoltaic applications

description: In the following the raw data lying the foundation of the paper “Ultrathin wide-bandgap a-Si:H based solar cells for transparent photovoltaic applications” (Lopez-Garcia et al.) published in Solar Rapid Research Letters, DOI: 10.1002/solr.202100909 (2021), are described. They were obtained under the funding provided by the European Union H2020 Framework Programme under Grant Agreement no. 826002 (Tech4Win) and by the Mater-One (Refs. PID 2020-116719RB-C42 and PID 2020-116719RB-C41) and SCALED (Ref. PID 2019-109215RB-C4) projects funded by the Spanish MCIN/AEI/10.13039/5011000110033. UV–vis measurements were acquired with a dual-beam spectrophotometer setup (Perkin Elmer Lambda L35) in transmittance mode (light source and detector normal to sample’s surface (i.e., 0<sup>o</sup>)) and in reflectance mode (with an Integrating sphere) scanning from 300 to 800 nm. J–V measurements under illumination were carried out using a homemade setup consisting on a AAA solar simulator calibrated using a NREL-certified Si reference solar cell (Abet Technologies, Model 15150). Electrical measurements were carried out with a source-measure unit (Keithley 2400) in four-wire sense mode, controlled by the software Tracer (ReRa solutions) using a IEEE 488 GPIB Instrument Control Device (National Instruments GPIB-USB-HS).
description: This work has received funding from the European Union H2020 Framework Programme under Grant Agreement no. 826002 (Tech4Win). This work is also part of the R+D+i MaterOne projects (Refs. PID 2020-116719RB-C42 and PID 2020-116719RB-C41) and of the R+D+i SCALED project (Ref. PID 2019-109215RB-C4) funded by MCIN/AEI/10.13039/5011000110033 (Spain).