cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7955355
title: SciExpeM - 10.5281/zenodo.7955355

description: Sun et al., Combustion and Flame 231 (2021) 111485
DOI: 10.5281/zenodo.7955354
title: SciExpeM - 10.5281/zenodo.7955355

description: Sun et al., Combustion and Flame 231 (2021) 111485
DOI: 10.34740/kaggle/dsv/5738849
title: Polish-Ukrainian translations from Tatoeba
DOI: 10.5281/zenodo.7955360
title: hyacinthus_orientalis_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.7955359
title: hyacinthus_orientalis_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.7950569
title: Covid-19 cases downloaded from different countries

description: This data is used in the repository: https://github.com/edugalt/scaling/ The folder "downloaded data" contains the data obtained in 2021 from the following sources: NSW:<br> -SA2_SUA_2016_AUST.csv https://www.abs.gov.au/AUSSTATS/abs@.nsf/DetailsPage/1270.0.55.004July%202016?OpenDocument<br> -concordance.csv http://52.187.227.242/concorder/<br> -postcode_population.csv https://datapacks.censusdata.abs.gov.au/datapacks/<br> -SUA_2016_AUST.csv https://www.abs.gov.au/AUSSTATS/abs@.nsf/DetailsPage/1270.0.55.004July%202016?OpenDocument<br> -data2021126OctNSW.csv https://data.nsw.gov.au/data/dataset/covid-19-cases-by-location/resource/21304414-1ff1-4243-a5d2-f52778048b29 Chile:<br> -Covid-19ChileIncremental092321.csv https://github.com/MinCiencia/Datos-COVID19/tree/master/output/producto1<br> 2021-10-22-CasosConfirmados.csv https://github.com/MinCiencia/Datos-COVID19/tree/master/output/producto2<br> -Cantidad-de-Personas-por-Sexo-y-Edadmodified.xlsx <br> http://www.censo2017.cl/wp-content/uploads/2017/12/Cantidad-de-Personas-por-Sexo-y-Edad.xlsx Brazil:<br> -cases-brazil-cities.csv https://github.com/wcota/covid19br/blob/master/cases-brazil-cities.csv<br> -estimativa_dou_2021edited.csv https://www.ibge.gov.br/en/statistics/social/population/18448-populationestimates.html?=&t=downloads<br> -caso_full.csv.gz https://brasil.io/dataset/covid19/files/<br> -caso.csv.gz https://brasil.io/dataset/covid19/files/ USA:<br> -us-counties.csv https://www.kaggle.com/sudalairajkumar/covid19-in-usa/version/102<br> -co-est2020.csv https://www.census.gov/data/datasets/time-series/demo/popest/2010s-counties-total.html
DOI: 10.5281/zenodo.7950568
title: Covid-19 cases downloaded from different countries

description: This data is used in the repository: https://github.com/edugalt/scaling/ The folder "downloaded data" contains the data obtained in 2021 from the following sources: NSW:<br> -SA2_SUA_2016_AUST.csv https://www.abs.gov.au/AUSSTATS/abs@.nsf/DetailsPage/1270.0.55.004July%202016?OpenDocument<br> -concordance.csv http://52.187.227.242/concorder/<br> -postcode_population.csv https://datapacks.censusdata.abs.gov.au/datapacks/<br> -SUA_2016_AUST.csv https://www.abs.gov.au/AUSSTATS/abs@.nsf/DetailsPage/1270.0.55.004July%202016?OpenDocument<br> -data2021126OctNSW.csv https://data.nsw.gov.au/data/dataset/covid-19-cases-by-location/resource/21304414-1ff1-4243-a5d2-f52778048b29 Chile:<br> -Covid-19ChileIncremental092321.csv https://github.com/MinCiencia/Datos-COVID19/tree/master/output/producto1<br> 2021-10-22-CasosConfirmados.csv https://github.com/MinCiencia/Datos-COVID19/tree/master/output/producto2<br> -Cantidad-de-Personas-por-Sexo-y-Edadmodified.xlsx <br> http://www.censo2017.cl/wp-content/uploads/2017/12/Cantidad-de-Personas-por-Sexo-y-Edad.xlsx Brazil:<br> -cases-brazil-cities.csv https://github.com/wcota/covid19br/blob/master/cases-brazil-cities.csv<br> -estimativa_dou_2021edited.csv https://www.ibge.gov.br/en/statistics/social/population/18448-populationestimates.html?=&t=downloads<br> -caso_full.csv.gz https://brasil.io/dataset/covid19/files/<br> -caso.csv.gz https://brasil.io/dataset/covid19/files/ USA:<br> -us-counties.csv https://www.kaggle.com/sudalairajkumar/covid19-in-usa/version/102<br> -co-est2020.csv https://www.census.gov/data/datasets/time-series/demo/popest/2010s-counties-total.html
DOI: 10.15139/s3/m21xvo
title: Dietary Selenium in Pregnant Women of Accra, Ghana- FFQ Evaluation

description: Dataset contains self-reported food intake from a list of 66 food items or prepared dishes. The data records the frequency and portion size of the food they have eaten during the past month. Each frequency response is coded from a scale of 0 (“Never or less than once per month”) to 8 (“2+ per day”). Coded as follows: 0 - “Never or less than once per month” 1 - “1 per month” 2 - “2-3 per month” 3 - “1 per week” 4 - “2 per week” 5 - “3-4 per week” 6 - “5-6 per week” 7 - “1 per day” 8 - “2+ per day” Each serving size response is coded from a scale of 1, the smallest portion, to 3, the largest portion. 4, “None” was added to enable research assistants to mark something down if the previous answer reported “Never or less than once per month”, instead of leaving the quesion blank. Coded as follows: 1 - *smallest portion 2 - *medium portion 3 - *largest portion 4 - “None” Their reports enabled us to estimate the concentrations of maternal selenium intake in ug/day, directly compared to the U.S. Center for Disease Control’s recommended daily amount of 60 ug/day for pregnant women.
DOI: 10.18120/etkp-7q24
title: Nature Neuroscience 2023
DOI: 10.5281/zenodo.7925011
title: FNL data used for producing meteorological ICs/BCs of WRF v4.1.1-CMAQ v5.3.1, WRF-Chem v4.1.1 and WRF v3.7.1-CHIMERE v2020r1

description: The National Center for Environmental Prediction Final Analysis (NCEP-FNL) datasets with a horizontal resolution of 1° × 1° at 6-hour intervals are used for producing meteorological initial and boundary conditions of WRF v4.1.1-CMAQ v5.3.1, WRF-Chem v4.1.1 and WRF v3.7.1-CHIMERE v2020r1.
DOI: 10.6084/m9.figshare.20435784
title: ibutton-left-nondominant-upper-arm-cotton-sports-wristband-radial-artery-ventral-interior-5min-v2

description: Skin temperature using a Maxim Thermocron iButton DS1925L set at a resolution of one sample every 5 min (max resolution) and temperature resolution of 0.0625°C (max resolution), placed on the radial artery on the forearm (between elbow and wrist, about in the middle with a slightly changing position regularly to avoid skin damage due to continuous skin obstruction and warmth), by being attached with a velcro to the interior of a cotton sports wrist band. This sensor should allow to capture circadian rhythm modulations. See the works of Dr. Antonio Martinez Nicolas for more details on wrist skin temperature rhythm and WTIO. <br> The procedure is described in: https://pubmed.ncbi.nlm.nih.gov/18761026/ <br> Part of the MyNon24Sleep v2 dataset, specifications of the study's design and wearables setup available in the Wearadian v2 project's documentation. Data starts from 2022-03-17 and will cover one whole year. Data is discontinuous, each csv file should be concatenated with the next ones based on datetime to get the full dataset. <br> This dataset can be used alone or in combination with ibutton-left-nondominant-upper-arm-cotton-sports-wristband-dorsal-interior-5min-v2 to regress dorsal skin temperature. There are no recordings for ambient temperature in Wearadian v2. <br> The maximum number of samples seems to be 62720, which is about about 6-7 months of continuous data recording maximum per run. So it's necessary to clear the sensor's data before collecting a new period. <br> Note that the datetime in the filename is in US format: monthdayyear. <br>
DOI: 10.6084/m9.figshare.20435784.v3
title: ibutton-left-nondominant-upper-arm-cotton-sports-wristband-radial-artery-ventral-interior-5min-v2

description: Skin temperature using a Maxim Thermocron iButton DS1925L set at a resolution of one sample every 5 min (max resolution) and temperature resolution of 0.0625°C (max resolution), placed on the radial artery on the forearm (between elbow and wrist, about in the middle with a slightly changing position regularly to avoid skin damage due to continuous skin obstruction and warmth), by being attached with a velcro to the interior of a cotton sports wrist band. This sensor should allow to capture circadian rhythm modulations. See the works of Dr. Antonio Martinez Nicolas for more details on wrist skin temperature rhythm and WTIO. <br> The procedure is described in: https://pubmed.ncbi.nlm.nih.gov/18761026/ <br> Part of the MyNon24Sleep v2 dataset, specifications of the study's design and wearables setup available in the Wearadian v2 project's documentation. Data starts from 2022-03-17 and will cover one whole year. Data is discontinuous, each csv file should be concatenated with the next ones based on datetime to get the full dataset. <br> This dataset can be used alone or in combination with ibutton-left-nondominant-upper-arm-cotton-sports-wristband-dorsal-interior-5min-v2 to regress dorsal skin temperature. There are no recordings for ambient temperature in Wearadian v2. <br> The maximum number of samples seems to be 62720, which is about about 6-7 months of continuous data recording maximum per run. So it's necessary to clear the sensor's data before collecting a new period. <br> Note that the datetime in the filename is in US format: monthdayyear. <br>
DOI: 10.6084/m9.figshare.20435784.v2
title: ibutton-left-nondominant-upper-arm-cotton-sports-wristband-radial-artery-ventral-interior-5min-v2

description: Skin temperature using a Maxim Thermocron iButton DS1925L set at a resolution of one sample every 5 min (max resolution) and temperature resolution of 0.0625°C (max resolution), placed on the radial artery on the forearm (between elbow and wrist, about in the middle with a slightly changing position regularly to avoid skin damage due to continuous skin obstruction and warmth), by being attached with a velcro to the interior of a cotton sports wrist band. This sensor should allow to capture circadian rhythm modulations. See the works of Dr. Antonio Martinez Nicolas for more details on wrist skin temperature rhythm and WTIO. <br> The procedure is described in: https://pubmed.ncbi.nlm.nih.gov/18761026/ <br> Part of the MyNon24Sleep v2 dataset, specifications of the study's design and wearables setup available in the Wearadian v2 project's documentation. Data starts from 2022-03-17 and will cover one whole year. Data is discontinuous, each csv file should be concatenated with the next ones based on datetime to get the full dataset. <br> This dataset can be used alone or in combination with ibutton-left-nondominant-upper-arm-cotton-sports-wristband-dorsal-interior-5min-v2 to regress dorsal skin temperature. There are no recordings for ambient temperature in Wearadian v2. <br> The maximum number of samples seems to be 62720, which is about about 6-7 months of continuous data recording maximum per run. So it's necessary to clear the sensor's data before collecting a new period. <br> Note that the datetime in the filename is in US format: monthdayyear. <br>
DOI: 10.6084/m9.figshare.20435802
title: ibutton-left-nondominant-upper-arm-cotton-sports-wristband-dorsal-interior-5min-v2

description: Skin temperature using a Maxim Thermocron iButton DS1925L set at a resolution of one sample every 5 min (max resolution) and temperature resolution of 0.0625°C (max resolution), placed on the dorsal side of the forearm, at the opposite of the radial artery, by being attached with a velcro to the interior of a cotton sports wrist band. <br> Part of the MyNon24Sleep v2 dataset, specifications of the study's design and wearables setup available in the Wearadian v2 project's documentation. Data starts from 2022-03-17 and will cover one whole year. Data is discontinuous, each csv file should be concatenated with the next ones based on datetime to get the full dataset. <br> This dataset is meant to capture skin temperature at another site than the radial artery, so that the dataset may be useful for spurious temperature changes regression. This should be used in combination with the ibutton-left-nondominant-upper-arm-cotton-sports-wristband-radial-artery-ventral-interior-5min-v2 dataset. <br> The maximum number of samples seems to be 62720, which is about about 6-7 months of continuous data recording maximum per run. So it's necessary to clear the sensor's data before collecting a new period. <br> Note that the datetime in the filename is in US format: monthdayyear. <br>
DOI: 10.6084/m9.figshare.20435802.v3
title: ibutton-left-nondominant-upper-arm-cotton-sports-wristband-dorsal-interior-5min-v2

description: Skin temperature using a Maxim Thermocron iButton DS1925L set at a resolution of one sample every 5 min (max resolution) and temperature resolution of 0.0625°C (max resolution), placed on the dorsal side of the forearm, at the opposite of the radial artery, by being attached with a velcro to the interior of a cotton sports wrist band. <br> Part of the MyNon24Sleep v2 dataset, specifications of the study's design and wearables setup available in the Wearadian v2 project's documentation. Data starts from 2022-03-17 and will cover one whole year. Data is discontinuous, each csv file should be concatenated with the next ones based on datetime to get the full dataset. <br> This dataset is meant to capture skin temperature at another site than the radial artery, so that the dataset may be useful for spurious temperature changes regression. This should be used in combination with the ibutton-left-nondominant-upper-arm-cotton-sports-wristband-radial-artery-ventral-interior-5min-v2 dataset. <br> The maximum number of samples seems to be 62720, which is about about 6-7 months of continuous data recording maximum per run. So it's necessary to clear the sensor's data before collecting a new period. <br> Note that the datetime in the filename is in US format: monthdayyear. <br>
DOI: 10.6084/m9.figshare.20435802.v2
title: ibutton-left-nondominant-upper-arm-cotton-sports-wristband-dorsal-interior-5min-v2

description: Skin temperature using a Maxim Thermocron iButton DS1925L set at a resolution of one sample every 5 min (max resolution) and temperature resolution of 0.0625°C (max resolution), placed on the dorsal side of the forearm, at the opposite of the radial artery, by being attached with a velcro to the interior of a cotton sports wrist band. <br> Part of the MyNon24Sleep v2 dataset, specifications of the study's design and wearables setup available in the Wearadian v2 project's documentation. Data starts from 2022-03-17 and will cover one whole year. Data is discontinuous, each csv file should be concatenated with the next ones based on datetime to get the full dataset. <br> This dataset is meant to capture skin temperature at another site than the radial artery, so that the dataset may be useful for spurious temperature changes regression. This should be used in combination with the ibutton-left-nondominant-upper-arm-cotton-sports-wristband-radial-artery-ventral-interior-5min-v2 dataset. <br> The maximum number of samples seems to be 62720, which is about about 6-7 months of continuous data recording maximum per run. So it's necessary to clear the sensor's data before collecting a new period. <br> Note that the datetime in the filename is in US format: monthdayyear. <br>
DOI: 10.5519/qd.9lkoamfy
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (822457 records)
DOI: 10.57841/casdc.0000666
title: 稀土夹杂物评价方法
DOI: 10.57841/casdc.0000667
title: 课题工艺规范数据集
DOI: 10.57841/casdc.0000668
title: XDC04010700课题发明专利
DOI: 10.57841/casdc.0000670
title: XDC04010800-热导率数据
DOI: 10.57841/casdc.0000671
title: XDC04010800-相对密度数据
DOI: 10.57841/casdc.0000673
title: XDC04010700课题规范与标准
DOI: 10.5281/zenodo.7954006
title: Time Series Measurement Data of Medium Voltage | Low Voltage [MV|LV] Feeders in Jabodetabek Regions Indonesia – District Incoming Transformers of 630 kVA & 400 kVA (20 kV | 0.4 kV)

description: Time Series Measurement Data of Medium Voltage | Low Voltage (MV|LV] Feeders in Jabodetabek Regions Indonesia – District Incoming Transformers of 630 kVA & 400 kVA (20 kV | 0.4 kV)<br> Standardized Power Quality Analyzer took the data within 1- and 5 minutes span data during seven days in 2016. <br> The data consist of Voltage, Current, Active/Reactive/Apparent Power, Power Factor, and Total Harmonic Distortion (THD) within three-phase measurement. Related data was also included with it i.e., calculated data for active power losses, Unbalanced Voltage per phase, efficiency etc
description: The activity was carried out as part of the research engineer in the Agency for the Assessment & Application Technology/Badan Pengkajian dan Penerapan Teknologi (BPPT)
DOI: 10.5281/zenodo.7954007
title: Time Series Measurement Data of Medium Voltage | Low Voltage [MV|LV] Feeders in Jabodetabek Regions Indonesia – District Incoming Transformers of 630 kVA & 400 kVA (20 kV | 0.4 kV)

description: Time Series Measurement Data of Medium Voltage | Low Voltage (MV|LV] Feeders in Jabodetabek Regions Indonesia – District Incoming Transformers of 630 kVA & 400 kVA (20 kV | 0.4 kV)<br> Standardized Power Quality Analyzer took the data within 1- and 5 minutes span data during seven days in 2016. <br> The data consist of Voltage, Current, Active/Reactive/Apparent Power, Power Factor, and Total Harmonic Distortion (THD) within three-phase measurement. Related data was also included with it i.e., calculated data for active power losses, Unbalanced Voltage per phase, efficiency etc
description: The activity was carried out as part of the research engineer in the Agency for the Assessment & Application Technology/Badan Pengkajian dan Penerapan Teknologi (BPPT)
DOI: 10.5281/zenodo.7950143
title: Time Series Measurement Data of Office Building in Jakarta Indonesia - Incoming Transformer of 20 kV | 0.4 kV

description: Time Series Measurement Data of Office Buildings in Jakarta Indonesia - Incoming Three Transformers of 2 MVA rating (20 kV | 0.4 kV)<br> The data was taken by Standardized Power Quality Analyzer within minutes span data during eight days in 2016. <br> The data consist of Voltage, Current, Active/Reactive/Apparent Power, Power Factor, Total Harmonic Distortion (THD) within three-phase measurement. Related data was also included from with it i.e., calculated data for active power losses, Unbalanced Voltage per phase, efficiency etc
description: The activity was carried out as a part of research engineer in Agency for the Assessment & Application Technology/Badan Pengkajian dan Penerapan Teknologi (BPPT)
DOI: 10.5281/zenodo.7950144
title: Time Series Measurement Data of Office Building in Jakarta Indonesia - Incoming Transformer of 20 kV | 0.4 kV

description: Time Series Measurement data of Office Building in Jakarta Indonesia - Incoming Transformer of 20 kV | 0.4 kV<br> The data was taken by Standardized Power Quality Analyzer within minutes span data during eight days in 2016. <br> The data consist of Voltage, Current, Active/Reactive/Apparent Power, Power Factor, Total Harmonic Distortion (THD) within three-phase measurement. Related data was also included from with it i.e., calculated data for active power losses, efficiency etc
description: The activity was carried out as a part of research engineer in Agency for the Assessment & Application Technology/Badan Pengkajian dan Penerapan Teknologi (BPPT)
DOI: 10.5281/zenodo.7953940
title: Time Series Measurement Data of Office Building in Jakarta Indonesia - Incoming Transformer of 20 kV | 0.4 kV

description: Time Series Measurement Data of Office Buildings in Jakarta Indonesia - Incoming Three Transformers of 2 MVA rating (20 kV | 0.4 kV)<br> The data was taken by Standardized Power Quality Analyzer within minutes span data during eight days in 2016. <br> The data consist of Voltage, Current, Active/Reactive/Apparent Power, Power Factor, Total Harmonic Distortion (THD) within three-phase measurement. Related data was also included from with it i.e., calculated data for active power losses, Unbalanced Voltage per phase, efficiency etc
description: The activity was carried out as a part of research engineer in Agency for the Assessment & Application Technology/Badan Pengkajian dan Penerapan Teknologi (BPPT)
DOI: 10.3886/e168843v1-139043
title: Data and Code for: Pandemic Schooling Mode and Student Test Scores: Evidence from U.S. School Districts

description: We estimate the impact of district-level schooling mode (in-person versus hybrid or virtual learning) in the 2020-21 school year on students' pass rates on standardized tests in Grades 3--8 across 11 states. Pass rates declined from 2019 to 2021: an average decline of 12.8 percentage points in math and 6.8 in English language arts (ELA). Focusing on within-state, within-commuting zone variation in schooling mode, we estimate districts with full in-person learning had significantly smaller declines in pass rates (13.4 p.p. in math, 8.3 p.p. in ELA). The value to in-person learning was larger for districts with larger populations of Black students.
description: United States public school districts in CO, CT, MA, MN, MS, OH, RI, VA, WI, WV, WY. Smallest Geographic Unit: US public school districts by zip code
DOI: 10.26179/myhy-2685
title: Gravity Measurements from Law Dome and Wilkes Land, 1979
DOI: 10.34740/kaggle/dsv/5739261
title: Tesla Fire
DOI: 10.6084/m9.figshare.21731315.v5
title: Open_3DSIM_DATA

description: This is the data of Open_3DSIM platform. 1. The data(<strong>*.dv or *.tif file</strong>) is provided singly to facilitate users to download. 2. The <strong>Parameters.zip</strong> is parmeters, and OTF the total raw data. 3. The <strong>Comparison.zip</strong> is the comparison between different reconstructions for referrence. 4. The Install_Fiji_Screenshot.mp4 is for the install guide for Fiji version <br>
DOI: 10.6084/m9.figshare.23035472
title: ACL_2023_Human_Study_Adversarial_Text.7z

description: This data is part of ACL 2023 publication "How do humans perceive adversarial text? A reality check on the validity and naturalness of word-based adversarial attacks". <br> <br> You will find: all_text_adversarial_sentences.csv file that includes 25 283 successful adversarial texts that we generated using 9 attacks from TextFooler library over three sentiment analysis datasets ( IMDB movie reviews, Rotten Tomatoes movie reviews, Yelp polarity service review) questionnaire_answers folder with the survey answers from the participants for each part of the questionnaire.
DOI: 10.6084/m9.figshare.22789763
title: Supplementary Data for Newman JRB, Long A, Speake C, Greenbaum CJ, Cerosaletti K, Rich SS, Onengut-Gumuscu S, McIntyre LM, Buckner JH, Concannon P, "Shifts in isoform usage underlie transcriptional differences in regulatory T cells in type 1 diabetes", submitted to <em>Communications Biology</em>

description: Contains Supplementary Dataset associated with <em>Communications Biology</em> manuscript <br> <strong>Contents</strong><strong>:</strong> <strong>Supplementary Data 1 </strong>Differentially-spliced genes in Tregs with percent spliced in of major splicing differences between isoforms <strong>Supplementary Data 2 </strong>Data for Figure 2A <strong>Supplementary Data 3 </strong>Data for Figures 2D and Supplementary Figures 2A, 2C, and 2E <strong>Supplementary Data 4 </strong>Data for Figures 2E and Supplementary Figures 2B, 2D, and 2F <strong>Supplementary Data 5 </strong>Data for Figures 4B and 4C <strong>Supplementary Data 6 </strong>Data for Figures 5B and 5C <strong>Supplementary Data 7 </strong>Data for Supplementary Figure 1 <strong>Supplementary Data 8 </strong>Data for Supplementary Figure 3 <br> Each file contains a "Column descriptions" tab that explains the contents of each column on the associated data sheet.