cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/e119446v16
title: COVID-19 US State Policy Database

description: 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: 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
description: State policies. Smallest Geographic Unit: State
DOI: 10.17632/k9j72kj6js.1
title: Data from the DOM biodegradation along a hydrological continuum in permafrost peatlands

description: This file presents the original data used the article named: "Dissolved organic matter biodegradation along a hydrological continuum in permafrost peatlands" and published in the Journal Science of the Total Environment in 2020.
DOI: 10.17632/cxbgbynyp9.1
title: Prediction of climatic changes on the ecological niche of Myracrodruon urundeuva in Brazil

description: Myracrodruon urundeuva is a native timber species and has great potential for commercial use in Brazil, especially in the Pantanal, Savannah and Caatinga regions, where native species are explored. In this study, distribution of M. urundeuva was predicted, based on the region of natural occurrence of the species. Coordinates of the species were obtained from online databases - CRIA and SpecialLinks, as well as from scientific articles and fieldwork conducted by UNESP located in Ilha Solteira. Therefore, ecological niche modeling was used, with current layers of climatic variables and layers prepared for future climate scenarios, according to the 4th Report of the Intergovernmental Panel on Climate Change (AR4 / IPCC), using Worldclim data on Brazil. Using Open Modeller and ArcGIS programs, prediction maps of their occurrence were generated for the current period and for future climate scenarios according to global climate change projects. With projected increases in temperature and rainfall in the area where the species occurs, M. urundeuva tends to migrate to areas of Brazil where the climate is currently milder in the south and southeast. Due to climate change, the species tends to undergo changes in area distribution and size by 2080. In both periods Caatinga and Pantanal were projected to increase in area, while for the Cerrado in the first period the area increased and for the second, it decreased. In scenario B1, large population size loss is projected in Caatinga and Pantanal.
DOI: 10.17632/x4k4whtf6y.1
title: Non-parametric models of a pH Neutralization plant dataset

description: This Dataset contains a series of non-parametric models describing the pH and Level control loop of pH Neutralization plant. This plant is located at the University of Sao Paulo as part of the Laboratory of Automation and Control. In this case, the files called "20200205_NivelModel" and "20200205_pHModel" contain a cell arrays with 3150 models. The models in "20200205_NivelModel" describe the Level control loop meanwhile, models in "20200205_pHModel" describe the pH control loop. Both file extensions are .mat from Matlab.
DOI: 10.17632/6d88crmh44.1
title: Support Information for "Tectonic setting and provenance of Cretaceous strata in the Main Central Thrust zone, Eastern Nepal: implications for the archipelago paleogeography of Neo-Tethys"

description: Data of U-Pb-Hf isotope of zircon and whole rock of Nd isotope
DOI: 10.17632/bjgghsp5gn.1
title: Development of Morphea in Patients on Biologic Therapies: A Systematic Review

description: Supplemental File 1: Search Strategy Supplemental File 2: PRISMA Checklist
DOI: 10.17632/jb2dz98yn7.1
title: Biologic Drug Survival in Psoriasis: A Systematic Review & Comparative Meta-Analysis

description: Statistical Data for the Comparative Meta-analysis
DOI: 10.17632/hshnxdd7v8.1
title: Data for: On the Generation, Structure, and Semantics of Grammar Patterns in Source Code Identifiers

description: # Identifier Grammar Pattern Data This data includes six files. Five of these files contain 267 grammar patterns sampled from open source systems and the last file contains an agglomeration of data from the other five files. Each file has several columns: Identifier Type, Identifier Name, FINAL GRAMMAR PATTERN, POSSE, SWUM, STANFORD, system, language. Each of these is self-explanatory, but the function grammar patterns file contains one additional column: STANFORD_WITH_I, due to our use of the stanford+I technique for improving certain POS taggers. # Please cite the paper! 1. Christian D. Newman, Reem S. AlSuhaibani, Michael J. Decker, Anthony Peruma, Dishant Kaushik, Mohamed Wiem Mkaouer, Emily Hill, On the generation, structure, and semantics of grammar patterns in source code identifiers, Journal of Systems and Software, 2020, 110740, ISSN 0164-1212, https://doi.org/10.1016/j.jss.2020.110740. (http://www.sciencedirect.com/science/article/pii/S0164121220301680) Keywords: Program comprehension; Identifier naming; Software maintenance; Source code analysis; Part-of-speech tagging # Feel free to contribute! We would love to keep this repository growing with more grammar patterns and are happy to credit anyone who decides to add to our current set here in the README (we will credit your name/username/webapge or whatever you like). If you'd like to contribute more grammar patterns, just make a pull request either adding your own file from a system we do not include above or modifying the .csv files already included. Just be sure to follow the format. # Interested in our research? **Check out https://scanl.org/**
DOI: 10.17632/sdb3vytg48.1
title: kegg drug ATC properties

description: Properties of ATC accepted drugs from merging KEGG database and ATC codes in LigandBox repository. 3D structures and SMILES are generated using OpenBabel SW. Molecular descriptors: https://www.nature.com/articles/srep43738 Managing repo: https://github.com/tonibois/KeggDrugVirtualScreening
DOI: 10.17632/n93xpwdk6p.5
title: Measurement Model Data of Academic Resilience for Middle Seminary Students

description: This data was collected from Garum Seminary High School, Blitar (East Java), Indonesia. Data collection was performed using a student academic resilience questionnaire. Participants involved 113 students of Garum Seminary High School, who were given the task of answering statements with 5 alternative answers (strongly disagree to strongly agree). Scoring for favorable items starting from 1 (strongly disagree) to 5 (strongly agree). Scoring for unfavorable Items starting from 5 (strongly disagree) to 1 (strongly agree).
DOI: 10.15784/601360
title: Isotopic data from Whillans Ice Stream grounding zone, West Antarctica

description: This dataset contains total organic carbon (%TOC) and carbon isotopic data (δ¹³C, Δ¹⁴C) from sediments retrieved from the Whillans Ice Stream grounding zone during the 2015 Antarctic field season. All %TOC and sediment preparations were done at the University of South Florida. Radiocarbon measurements were done at the National Ocean Sciences Accelerator Mass Spectrometry (NOSAMS) laboratory.
DOI: 10.21227/qz5h-rn65
title: A Time-Scale Modification Dataset with Subjective Quality Labels

description: Time Scale Modification (TSM) is a well-researched field; however, no effective objective measure of quality exists. This paper details the creation, subjective evaluation, and analysis of a dataset for use in the development of an objective measure of quality for TSM. Comprised of two parts, the training component contains 88 source files processed using six TSM methods at 10 time scales, while the testing component contains 20 source files processed using three additional methods at four time scales. The source material contains speech, solo harmonic and percussive instruments, sound effects, and a range of music genres. Ratings (42 529) were collected from 633 sessions using laboratory and remote collection methods. Analysis of results shows no correlation between age and quality of rating; expert and non-expert listeners to be equivalent; minor differences between participants with and without hearing issues; and minimal differences between testing modalities. A comparison of published objective measures and subjective scores shows the objective measures to be poor indicators of subjective quality. Initial results for a retrained objective measure of quality are presented with results approaching average root mean squared error loss and Pearson correlation values of subjective sessions. The labeled dataset is available at http://ieee-dataport.org/1987.
DOI: 10.21227/g1np-4w91
title: A Time-Scale Modification Dataset with Subjective Quality Labels

description: Time Scale Modification (TSM) is a well-researched field; however, no effective objective measure of quality exists. This paper details the creation, subjective evaluation, and analysis of a dataset for use in the development of an objective measure of quality for TSM. Comprised of two parts, the training component contains 88 source files processed using six TSM methods at 10 time scales, while the testing component contains 20 source files processed using three additional methods at four time scales. The source material contains speech, solo harmonic and percussive instruments, sound effects, and a range of music genres. Ratings (42 529) were collected from 633 sessions using laboratory and remote collection methods. Analysis of results shows no correlation between age and quality of rating; expert and non-expert listeners to be equivalent; minor differences between participants with and without hearing issues; and minimal differences between testing modalities. A comparison of published objective measures and subjective scores shows the objective measures to be poor indicators of subjective quality. Initial results for a retrained objective measure of quality are presented with results approaching average root mean squared error loss and Pearson correlation values of subjective sessions. The labeled dataset is available at http://ieee-dataport.org/1987.
DOI: 10.5519/qd.rfl3awhv
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (4463 records)
DOI: 10.5281/zenodo.3946836
title: Maps of reference evapotranspiration for the irrigation project in Brazil

description: The maximum daily evapotranspiration data set for a project (ETproject) for Brazil. It has a spatial resolution of <strong>30 seconds (~ 1 km²)</strong>. The data set grid is in <strong>GeoTIFF format</strong> and corresponds perfectly to WorldClim. It uses the <strong>geographic coordinate</strong> reference system, with <strong>WGS84 projection (EPSG: 4326)</strong>. The objective study is to estimate and provide evapotranspiration values of monthly reference and the maximum of twelve months, for dimensioning irrigation systems throughout the Brazilian territory. With the meteorological data of two hundred and fifty-nine conventional INMET stations, the daily reference evapotranspiration (ETo) for 15 years was calculated. For each weather station, the data was grouped by month and the ETo for the irrigation project (ETproject) was determined to meet the eighty percent probability of occurrence, following the recommendations of FAO24. In parallel, monthly images of 15 years of ETo were acquired for Brazil, and the climatic variables of WorldClim. Using the ET values of the stations design, it was modeled for the rest of Brazil, using machine learning algorithms and the covariates. After modeling, the following performances were achieved: mean square error of 0.306 mm / d, mean bias error of -0.004 mm / d, mean absolute error of 0.227 mm / d, determination coefficient of 0.938 and efficiency of Nash-Sutcliffe 0.937. ETo values for irrigation projects were similar to several others reported in the literature when compared at a given point. With this research it was possible to determine the monthly and annual ETo for irrigation projects throughout the Brazilian territory. The article has been submitted for publication.
description: We are grateful for the financial support (master's scholarship) granted by the National Council for Scientific and Technological Development - Brazil (CNPq) under the contract number: 131565 / 2016-8 and Coordination for the Improvement of Higher Education Personnel - Brazil (CAPES) Financial Code 001. We also thank the Department of Agricultural Engineering (DEA), the Study and Solutions Group for Irrigated Agriculture (GESAI) at the Federal University of Viçosa (UFV).
description: {"references": ["Doorenbos, J., Pruitt, W.O., 1977. Guidelines for predicting crop water requirements, FAO-24, Rev. ed, FAO irrigation and drainage paper; 24. Food and Agriculture Organization of the United Nations, Rome.", "Fick, S.E., Hijmans, R.J., 2017. WorldClim 2: new 1-km spatial resolution climate surfaces for global land areas: NEW CLIMATE SURFACES FOR GLOBAL LAND AREAS. International Journal of Climatology 37, 4302\u20134315. https://doi.org/10.1002/joc.5086", "R Core Team, 2020. R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria."]}
DOI: 10.5281/zenodo.3946835
title: Maps of reference evapotranspiration for the irrigation project in Brazil

description: The maximum daily evapotranspiration data set for a project (ETproject) for Brazil. It has a spatial resolution of <strong>30 seconds (~ 1 km²)</strong>. The data set grid is in <strong>GeoTIFF format</strong> and corresponds perfectly to WorldClim. It uses the <strong>geographic coordinate</strong> reference system, with <strong>WGS84 projection (EPSG: 4326)</strong>. The objective study is to estimate and provide evapotranspiration values of monthly reference and the maximum of twelve months, for dimensioning irrigation systems throughout the Brazilian territory. With the meteorological data of two hundred and fifty-nine conventional INMET stations, the daily reference evapotranspiration (ETo) for 15 years was calculated. For each weather station, the data was grouped by month and the ETo for the irrigation project (ETproject) was determined to meet the eighty percent probability of occurrence, following the recommendations of FAO24. In parallel, monthly images of 15 years of ETo were acquired for Brazil, and the climatic variables of WorldClim. Using the ET values of the stations design, it was modeled for the rest of Brazil, using machine learning algorithms and the covariates. After modeling, the following performances were achieved: mean square error of 0.306 mm / d, mean bias error of -0.004 mm / d, mean absolute error of 0.227 mm / d, determination coefficient of 0.938 and efficiency of Nash-Sutcliffe 0.937. ETo values for irrigation projects were similar to several others reported in the literature when compared at a given point. With this research it was possible to determine the monthly and annual ETo for irrigation projects throughout the Brazilian territory. The article has been submitted for publication.
description: We are grateful for the financial support (master's scholarship) granted by the National Council for Scientific and Technological Development - Brazil (CNPq) under the contract number: 131565 / 2016-8 and Coordination for the Improvement of Higher Education Personnel - Brazil (CAPES) Financial Code 001. We also thank the Department of Agricultural Engineering (DEA), the Study and Solutions Group for Irrigated Agriculture (GESAI) at the Federal University of Viçosa (UFV).
description: {"references": ["Doorenbos, J., Pruitt, W.O., 1977. Guidelines for predicting crop water requirements, FAO-24, Rev. ed, FAO irrigation and drainage paper; 24. Food and Agriculture Organization of the United Nations, Rome.", "Fick, S.E., Hijmans, R.J., 2017. WorldClim 2: new 1-km spatial resolution climate surfaces for global land areas: NEW CLIMATE SURFACES FOR GLOBAL LAND AREAS. International Journal of Climatology 37, 4302\u20134315. https://doi.org/10.1002/joc.5086", "R Core Team, 2020. R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria."]}
DOI: 10.7910/dvn/prff8v/zgkoah
title: spam2010v1r1_global_harv_area.csv.zip

description: Harvested area data in CSV format
DOI: 10.7910/dvn/prff8v/vwrub6
title: spam2010v1r1_global_phys_area.csv.zip

description: Physical area data in CSV format
DOI: 10.7910/dvn/prff8v/dz4ebd
title: spam2010v1r1_global_prod.csv.zip

description: Production data in CSV format
DOI: 10.7910/dvn/prff8v/qfvzup
title: spam2010v1r1_global_val_prod_agg.csv.zip

description: Aggregated value of production data in CSV format
DOI: 10.7910/dvn/prff8v/qvrb1f
title: spam2010v1r1_global_yield.csv.zip

description: Yield data in CSV format
DOI: 10.7910/dvn/prff8v/lqzxli
title: spam2010v1r1_global_harv_area.geotiff.zip

description: Harvested area data in GeoTIFF format
DOI: 10.7910/dvn/prff8v/523ezj
title: spam2010v1r1_global_phys_area.geotiff.zip

description: Physical area data in GeoTIFF format
DOI: 10.7910/dvn/prff8v/l0elfs
title: spam2010v1r1_global_prod.geotiff.zip

description: Production data in GeoTIFF format
DOI: 10.7910/dvn/prff8v/mhihsc
title: spam2010v1r1_global_val_prod_agg.geotiff.zip

description: Aggregated value of production data in GeoTIFF format
DOI: 10.7910/dvn/prff8v/ezws7a
title: spam2010v1r1_global_harv_area.dbf.zip

description: Harvested area data in DBF format
DOI: 10.7910/dvn/prff8v/gy0v2o
title: spam2010v1r1_global_phys_area.dbf.zip

description: Physical area data in DBF format
DOI: 10.7910/dvn/prff8v/kmo1pk
title: spam2010v1r1_global_prod.dbf.zip

description: :unav
DOI: 10.7910/dvn/prff8v/2uqg8t
title: spam2010v1r1_global_val_prod_agg.dbf.zip

description: :unav
DOI: 10.7910/dvn/prff8v/mlleiz
title: spam2010v1r1_global_yield.dbf.zip

description: :unav
DOI: 10.7910/dvn/prff8v/fytw5x
title: readme_v1r1_global.txt

description: Read Me file for CSV and DBF formats
DOI: 10.7910/dvn/prff8v/8fobj3
title: readme_v1r1_geotiff.txt

description: Read Me file for GeoTIFF format files
DOI: 10.21227/mv0d-em05
title: network service traffic

description: The datasets includes 2 parts: private and public traffic.The private traffic is self-captured network traffic of serveral softwares, such as YouTube, Skype, streaming video, totally 16 categories.The public traffic is anopen VPN dataset, including numorous VPN or nonVPN network services, totally 24 categories.
DOI: 10.21227/wkpd-kd53
title: network service traffic

description: The dataset includes 2 parts: private and public traffic.The private traffic is self-captured network traffic of serveral softwares, such as YouTube, Skype, streaming video, totally 16 categories.The public traffic is anopen VPN dataset, including numorous VPN or nonVPN network services, totally 24 categories.
DOI: 10.21227/3gaa-2s33
title: Domain Adaptation in law:professional fact descriptions to non-professional fact descriptions

description: This dataset concludes source data which is professional fact descriptions from Chinese law office website and target data which is non-professional fact descriptions from daily spoken language.The dataset is for transfer learning in law domain.The dataset also concludes processed dictionary and .npy files.The task of transfer learning is to predict the accusation based on the description.
DOI: 10.21227/v3ab-0q59
title: Domain Adaptation in law:professional fact descriptions to non-professional fact descriptions

description: This dataset concludes source data which is professional fact descriptions from Chinese law office website and target data which is non-professional fact descriptions from daily spoken language.The dataset is for transfer learning in law domain.The dataset also concludes processed dictionary and .npy files.The task of transfer learning is to predict the accusation based on the description.
DOI: 10.7910/dvn/geyenh/v8f4kt
title: Topographic profile data.tab

description: :unav
DOI: 10.7910/dvn/geyenh/codgzv
title: Slope aspect.tab

description: :unav
DOI: 10.7910/dvn/geyenh/1vagro
title: Local relief.tab

description: :unav
DOI: 10.7910/dvn/geyenh/p0vven
title: slope gradient.tab

description: :unav
DOI: 10.7910/dvn/geyenh/45ntf6
title: Roughness.tab

description: :unav
DOI: 10.17632/3jy68skzrv.1
title: Data for: Structural and Operational Factors as Determinant of Meaningful Community Participation in Sustainable Disaster Recovery Programs: The Case of Bangladesh

description: Primary data collected through 230 sampled survey.
DOI: 10.5281/zenodo.3459589
title: Pre-eruption ground deformation maps at Kilauea (Hawai`i, USA): 2014-2017 and 2018.

description: Vertical displacement (velocity) maps of Kilauea (Hawai`i, USA) derived from InSAR, for the time periods 2014-2017 and 2018. Vertical velocity data were obtained by processing Sentinel-1 ascending and descending SAR data (tracks 124 and 87, respectively). Data were processed using the JPL-developed InSAR Scientific Computing Environment (ISCE) open-source software package, and further time-series analysis was performed using the MintPy software toolbox (Miami INsar Time-series software in PYthon), developed at the University of Miami. An SRTM-derived Digital Elevation Model is also provided. These data were generated for figures in: Farquharson, J. I. and Amelung, F. [2020], "<em>Extreme rainfall triggered the 2018 rift eruption at Kīlauea Volcano.</em>" https://doi.org/10.1038/s41586-020-2172-5
DOI: 10.5281/zenodo.3459588
title: Pre-eruption ground deformation maps at Kilauea (Hawai`i, USA): 2014-2017 and 2018.

description: Vertical displacement (velocity) maps of Kilauea (Hawai`i, USA) derived from InSAR, for the time periods 2014-2017 and 2018. Vertical velocity data were obtained by processing Sentinel-1 ascending and descending SAR data (tracks 124 and 87, respectively). Data were processed using the JPL-developed InSAR Scientific Computing Environment (ISCE) open-source software package, and further time-series analysis was performed using the MintPy software toolbox (Miami INsar Time-series software in PYthon), developed at the University of Miami. An SRTM-derived Digital Elevation Model is also provided. These data were generated for figures in: Farquharson, J. I. and Amelung, F. [2020], "<em>Extreme rainfall triggered the 2018 rift eruption at Kīlauea Volcano.</em>" https://doi.org/10.1038/s41586-020-2172-5