cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/ykmr99nrsg.2
title: Novel Driver Distractions Dataset With Low Lighting Support

description: we present the largest ten-classes driver distractions dataset to date with temporal information. The dataset was captured by a raspberry pi NoIR (No IR filter) camera which enables the dataset to be captured at different lighting conditions using IR LEDs. A number of 70 drivers of both genders were involved in this dataset. The dataset was collected using five different car models.
DOI: 10.17632/2cnrczzs5j.1
title: Lipidome data of study on the interaction of phospholipid imbalance and ER imbalance
DOI: 10.17632/bddbn26mgs.1
title: Datos de carbono (Bosque Secundario)

description: Los siguientes datos corresponden a un Inventario de carbono realizado en el bosque secundario de la empresa FRUCTA Costa Rica S.A. como parte de la tesis de Javier Hernández-Cole
DOI: 10.6084/m9.figshare.13075817
title: End-Cretaceous Supplementary

description: Includes-Supplementary Materials.docx-Supplementary Data Folder that includesData S1 pollen countsData S2 fossil leaf datasetData S3 Isotopic DataData S4 Guaduas Leaf FloraData S5 Bogota Leaf FloraData S6 Leaf Damage Dataset-Supplementary Files Folder that includesFolder S1 R_codesFolder S2 R FilesFolder S3 PyRate<br><br>
DOI: 10.6084/m9.figshare.13075817.v1
title: End-Cretaceous Supplementary

description: Includes-Supplementary Materials.docx-Supplementary Data Folder that includesData S1 pollen countsData S2 fossil leaf datasetData S3 Isotopic DataData S4 Guaduas Leaf FloraData S5 Bogota Leaf FloraData S6 Leaf Damage Dataset-Supplementary Files Folder that includesFolder S1 R_codesFolder S2 R FilesFolder S3 PyRate<br><br>
DOI: 10.17632/66hsvjcth6.1
title: glp1ra_nma

description: Supplementary materials.
DOI: 10.17632/chnsdxfg7y.3
title: Dataset_FEVOR

description: For the performance evaluation on the cluttered data, we propose to present a dataset of 10 texture-less objects acquired by a lightweight handy 3D RGBD camera (Intel Realsense D435). The presence of partial reference models, shiny objects, and cluttered scenes with varying distances and rotations are the challenges found in the proposed dataset for recognition techniques. We also provide code of our proposed technique FEVOR. If you have any query please contact me. Email: piyushjoshi3839@gmail.com
DOI: 10.17632/y7283fkdtb.1
title: RCT Resilience Intervention vs Psychoeducation Emergency Workers

description: These data were collected as part of a randomised controlled trial, which compared the effectiveness of a tertiary service resilience intervention to psychoeducation for improving psychological outcomes among emergency workers. A total of N=430 emergency workers took part and were randomised to receive the tertiary service resilience intervention or psychoeducation on a 3:1 basis. We hypothesised that the resilience intervention would be more effective than psychoeducation for improving resilience, wellbeing, self-efficacy, and social capital, as well as for improving emergency workers’ confidence to manage their mental health and reduce days off work due to illness. Participants completed self-report measures at baseline, post-intervention and at 3 month follow-up. Linear Mixed-Effects Models did not show a significant difference between the interventions, at the post-intervention or follow-up time points, on any outcome measure.
DOI: 10.17632/c8c52sxh8h.3
title: Sleeve Gastrectomy Ameliorates Diabetes-related Spleen Damage by Improving Oxidative Stress Status in Diabetic Obese Rats
DOI: 10.17632/dtnhwrsnym.1
title: MICROSTRUCTURAL DEFORMATION AND MODULUS CHANGES OF NUCLEAR GRAPHITE DUE TO HYDROSTATIC PRESSURE LOADING
DOI: 10.17632/c4g5m5sjct.1
title: Supplementary Material for: Acoustical properties of granular silica aerogels

description: This supplementary material is associated with the paper "Acoustical properties of granular silica aerogels" by H. Begum et al. It includes data used in this paper for performing the analysis supporting Figure 5 and Table 4.
DOI: 10.17632/wm6c5wzs4c.1
title: Dataset of "Extended field-of-view ultrathin microendoscopes for high-resolution two-photon imaging with minimal invasiveness"

description: Dataset_1 Data from functional imaging in the VPM using type II eFOV-microendoscopes before and after the removal of the corrective microlens in awake head-restrained mice. - dataset1_description.csv: description of the t-series containing the mouse ID, the type of lens used and the imaging parameters. - TS####.mat: mat-file containing a structure with imaging data - data.A is a num_pixels*num_ROIs array containing the spatial footprints of the ROIs. Each column corresponds to a single ROI and contains positive values for pixels belonging to the corresponding ROI. - data.F_raw is a num_ROIs*num_frames array containing the raw fluorescence activity of the ROIs. Each row corresponds to a single ROI. - data.C_d is a num_ROIs*num_frames array containing the normalized DF_F activity of the ROIs. Each row corresponds to a single ROI. Dataset _2: Data from functional imaging in the VPM using type II eFOV-microendoscopes with the corrective microlens in awake head-restrained mice. Brief dataset description: - TSeries-########-####-####_Mouse_####.mat: mat-file containing a structure with imaging data - data.A is a num_pixels*num_ROIs array containing the spatial footprints of the ROIs. Each column corresponds to a single ROI and contains positive values for pixels belonging to the corresponding ROI. - data.F_raw is a num_ROIs*num_frames array containing the raw fluorescence activity of the ROIs. Each row corresponds to a single ROI. - data.C_d is a num_ROIs*num_frames array containing the normalized DF_F activity of the ROIs. Each row corresponds to a single ROI. Dataset_3: Auxiliary data to generate synthetic t-series. For a complete description of their use, see https://github.com/moni90/eFOV_microendoscopes_sim
DOI: 10.17632/jbbw8w75ft.1
title: Air Quality Data in Dukuh Kupang, Surabaya, Indonesia

description: This data set contains the results of measurements of air quality parameters on high-traffic roads in Dukuh Kupang, Surabaya, Indonesia (-7.2837933,112.7157405). Measurements were carried out from 12/24/2019 to 5/7/2020 using Airvisual Pro. There were more than 40000 data with parameters of AQI US, AQI CN, PM2.5 (ug / m3), PM10 (ug / m3), CO2 (ppm), Temperature (Celsius), Temperature (Fahrenheit), and Humidity (%).
DOI: 10.17632/md22xmgxgw.1
title: Air Quality Data in Benowo, Suabaya, Indonesia

description: This data set contains the results of measurements of air quality parameters in Benowo, Surabaya, Indonesia (-7.2503661,112.6298347). Measurements were carried out from 12/24/2019 to 5/7/2020 using Airvisual Pro. There were more than 13000 data with parameters of AQI US, AQI CN, PM2.5 (ug / m3), PM10 (ug / m3), CO2 (ppm), Temperature (Celsius), Temperature (Fahrenheit), and Humidity (%).
DOI: 10.17632/smt379mfwz.1
title: The ambient noise cross-correlation functions of the cemtral-southern Tanlu Fault zone

description: The data ZZ_CCfunctions.zip is the Z-Z component of the station-pairs cross-correlation functions computed from the continuous seismic data for the central-southern Tanlu Fault zone. It includes 29 temporary broadband stations available at the Data Management Centre of the China National Seismic Network at the Institute of Geophysics (SEISDMC, DOI:10.11998/SeisDmc/SN, http://www.seisdmc.ac.cn), and 69 permanent broadband stations provided by the China Earthquake Network Center Data Management Center. The time-series length of each station is more than 2 years from 2015-2017.
DOI: 10.6084/m9.figshare.13087520
title: Banded Polymorphism data

description: The dataset contains the number of banded individuals collected during seven years in a population from the North-West of Spain as well as calculations using the data by Johannesson and Butlin 2017 available in datadryad (https://doi.org/10.5061/dryad.427p0)
DOI: 10.6084/m9.figshare.13087520.v1
title: Banded Polymorphism data

description: The dataset contains the number of banded individuals collected during seven years in a population from the North-West of Spain as well as calculations using the data by Johannesson and Butlin 2017 available in datadryad (https://doi.org/10.5061/dryad.427p0)
DOI: 10.5281/zenodo.4086099
title: Encuesta Online Integracion Inmigrantes Chile 2017

description: Encuesta online diseñada y aplicada para el estudio de la integración laboral y social inmigrante en Chile. Se recibieron un total de 4771 respuestas de las cuales se consideraron como válidas 3406. El instrumento consideró como población objetivo o <em>universo de estudio </em>a inmigrantes con permiso de residencia en Chile mayores de 18 años y con correo electrónico válido registrados por el Departamento de Extranjería y Migración, entre los meses de marzo y mayo de 2017. La cantidad de inmigrantes que recibió el cuestionario fue de 35.377, correspondientes al total de inmigrantes con estas características durante ese período.
description: Investigacion financiada por la Comisión Nacional de Ciencia y Tecnologia (CONICYT-CHILE), actualmente Agencia Nacional de Investigación y Desarrollo, bajo el proyecto CONICYT+PAI/ Concurso Nacional Apoyo al Retorno de Investigadores/as desde el Extranjero Convocatoria 2014 + 82140058 (Agosto 2015 – Julio 2017)
DOI: 10.5281/zenodo.4086098
title: Encuesta Online Integracion Inmigrantes Chile 2017

description: Encuesta online diseñada y aplicada para el estudio de la integración laboral y social inmigrante en Chile. Se recibieron un total de 4771 respuestas de las cuales se consideraron como válidas 3406. El instrumento consideró como población objetivo o <em>universo de estudio </em>a inmigrantes con permiso de residencia en Chile mayores de 18 años y con correo electrónico válido registrados por el Departamento de Extranjería y Migración, entre los meses de marzo y mayo de 2017. La cantidad de inmigrantes que recibió el cuestionario fue de 35.377, correspondientes al total de inmigrantes con estas características durante ese período.
description: Investigacion financiada por la Comisión Nacional de Ciencia y Tecnologia (CONICYT-CHILE), actualmente Agencia Nacional de Investigación y Desarrollo, bajo el proyecto CONICYT+PAI/ Concurso Nacional Apoyo al Retorno de Investigadores/as desde el Extranjero Convocatoria 2014 + 82140058 (Agosto 2015 – Julio 2017)
DOI: 10.17632/45zmm935g2.1
title: Leppek et al. Western blot and gel data

description: Leppek et al. full Western Blot and RNA/DNA gel images
DOI: 10.17632/wrzffv27cx.1
title: Mucocutaneous Disease and Related Clinical Characteristics in Hospitalized Children and Adolescents with COVID-19 and MIS-C

description: Supplemental figures for Mucocutaneous Disease and Related Clinical Characteristics in Hospitalized Children and Adolescents with COVID-19 and MIS-C.
DOI: 10.17632/ffw8zbdmpm.2
title: E-SMAP: Evaporation-Soil Moisture Active Passive

description: This is an observationally-based dataset of soil evaporation for the conterminous U.S. (CONUS), gridded to a 9 km resolution for the time-period of April 2015-March 2019. This product (Evaporation-Soil Moisture Active Passive; E-SMAP) represents soil evaporation from the surface layer, defined by the SMAP sensing depth of 50 mm, during SMAP overpass intervals that are screened using precipitation and SMAP quality control flags. Soil evaporation is calculated through an estimated water balance of the surface soil, which we show is largely dominated by SMAP-observed soil drying. E-SMAP soil evaporation is on average 0.72 mm day-1, which falls within the range of soil evaporation estimates (0.17-0.89 mm day-1) derived from operational land surface models and an alternative remote sensing product that are used for comparison (Abolafia-Rosenzweig et al., in review). E-SMAP is independent from existing soil evaporation estimates and therefore has the potential to improve understanding of evapotranspiration partitioning and model development. Moisture flux estimates in the E-SMAP dataset represent the average flux over the interval and are reported at the mid-date of respective intervals. The E-SMAP dataset may be used to estimate soil evaporation over a time period of months or years. However, soil evaporation estimates at individual time steps should be used with caution because unbiased uncertainty in observed drying rates from the SMAP satellite will introduce noise into shorter-interval estimates. All scripts used to create and assess this dataset are accessible here: https://github.com/ronzoni9675/ESMAP/.
DOI: 10.17632/y4kgjrp6db.1
title: Data for: Ecotoxicity of oil sludges and residuals from their washing with surfactants: Soil dehydrogenase and ryegrass germination tests

description: The data presented here correspond to our manuscript: "Ecotoxicity of oil sludges and residuals from their washing with surfactants: Soil dehydrogenase and ryegrass germination tests". The files are labelled according to the toxicity test, "dha" for dehydrogenase activity test and "germination" for seed germination test. The datasheets have all the data with the replicates of all the experiments performed in our study.
DOI: 10.17632/4rsz3snvk5.1
title: Dataset of NGS-Phage display library of nanobodies derived from Indian desert camel (Camelus dromedarius L.)

description: We constructed a phage display library (PDL) of nanobodies (Nbs) derived from an E. coli lipopolysaccharide-immunized Indian desert camel and subjected it to NGS methodology to obtain the NGS reads dataset of Nbs in a fraction of that PDL. This is the first phage display library of Nbs derived from the Indian desert camel and its initial preliminary characterization revealed functional Nbs against diverse Ags from infectious agents. Several Nb clones were isolated by panning against E. coli endotoxin and S. aureus β-hemolysin (an exotoxin), and were deposited, along with the library, in ICAR-Veterinary Type Culture Collection at Hisar (Haryana) (Accession no. VTCCMBA22 to VTCCMBA48). Some of these Nb clones were characterized for biochemical and functional features, and Sanger sequenced (GenBank accession no.: EU861212; KF990215; KF990216; KF990217; GU014816). For NGS, the cryo-preserved transformants library was revived to extract the Nb-encoding VHH (inserts)-pHEN4 (vector) DNA pool. The DNA sample was used for amplifying VHH pool by PCR. The VHH amplicons band was gel-purified and subjected to NGS using Illumina MiSeqTM platform. ‘Nextra XT micro V2 Index’ kit was used for the Nb library DNA sample sequencing, with the adaptors: ‘i7’ (N706: TAGGCATG) and ‘i5’ (S517: GCGTAAGA). The raw data of NGS reads was submitted to NCBI ‘Sequence Reads Archive’ repository.
DOI: 10.17632/sf9ymrgyhy.1
title: Sensitization of non-permissive laboratory mice to SARS-CoV-2 with a replication-deficient Adenovirus expressing human ACE2 . Wong et al

description: Video 1. Intranasal inoculation Video 2. Footpad injection for VRP immunization Video 3. Retro-orbital eye bleed for blood collection
DOI: 10.26300/ztph-0j39
title: Data and Trained Models from “MatryODShka: Real-time 6DoF Video View Synthesis using Multi-Sphere Images”
DOI: 10.17632/6x9cj9xjgk.2
title: Raw Data for Resubmission of MOLECULAR-CELL-D-19-01540
DOI: 10.17632/gcrf95w6kg.1
title: Data increment and enrichment for training machine learning based energy prediction model

description: This dataset is used for training of component based machine learning (CBML) models described in the linked article. The article examines the effect of increasing and enriching training data on machine learning model's ability to generalise. Please read the full article for the relevant details of ML models. There are seven training dataset BaseCase, E-1, E-2, E-3, I-1, I-2, and I-3 and one test dataset TestData. The trained ML components are saved under Models folder in each dataset. The performance.csv file describes the performance of ML components trained on the separate training dataset.
DOI: 10.17632/zm7rr9ngn5.1
title: Experimental dataset on water levels in the investigation of silted-up dam break flood wave for dry- and wet-bed downstream conditions while 50 to 80% of the dam reservoir is filled-up with sediment

description: Experimental data collection In this file, all water level data associated with 20 different silted-up dam break scenarios were extracted from high-quality experimental video images. The dataset are collected, classified and presented a total of 20 distinct tables in 5 categories based on initial upstream sediment depth; 15 cm, 17.5 cm, 20 cm, 22 cm and 24 cm. Tables 1-4, present the free surface water level data at 20 different locations along the flume and 15 snap times after the dam break, while the initial upstream sediment depth is 15 cm (50% of the reservoir height). Dry- and wet-bed initial downstream condition with 2 cm, 4 cm and 5 cm standing water depth are detailed in Table 1-4, respectively. Table 5-8 provide the free surface water level data at all abovementioned sections and snap times while the initial upstream sediment depth is 17.5 cm (58% of the reservoir height), and dry- or wet-bed downstream with 2 cm, 4 cm and 5 cm standing water depth were considered as initial downstream conditions, respectively. Table 9-12 show the free surface water level data at all sections and snap times while the initial upstream sediment depth is 20 cm (67% of the reservoir height), and dry- or wet-bed downstream with 2 cm, 4 cm and 5 cm standing water depth were considered as initial downstream conditions, respectively. Table 13-16 provide the free surface water level data at all sections and snap times while the initial upstream sediment depth is 22 cm (73% of the reservoir height), and dry- or wet-bed downstream with 2 cm, 4 cm and 5 cm standing water depth were considered as initial downstream conditions, respectively. Table 17-20 show the free surface water level data at all sections and snap times while the initial upstream sediment depth is 24 cm (80% of the reservoir height), and dry- or wet-bed downstream with 2 cm, 4 cm and 5 cm standing water depth were considered as initial downstream conditions, respectively. Affiliations 1st Author: Foad Vosoughi, Research Associate, Department of Civil and Environmental Engineering, Shiraz University, Shiraz, Iran. foad.vosooghi@gmail.com 2nd Author: Gholamreza Rakhshandehroo, Professor, Department of Civil and Environmental Engineering, Shiraz University, Shiraz, Iran. 3rd Author: Mohammad Reza Nikoo, Associate Professor, Department of Civil and Environmental Engineering, Shiraz University, Shiraz, Iran.
DOI: 10.17632/vx4gks6bx7.1
title: Water vapor on Mars from SPICAM IR occultations (MY27-34)

description: Dataset for the publication "Multi-annual monitoring of the water vapor vertical distribution on Mars by SPICAM on Mars Express" by Fedorova et al. Includes a list of orbits, and H2O density in cm-3 and H2O mixing ratio in ppm from SPICAM IR/MEX solar occultation observations for 8 Martian years from 27 to 34. Data contain two folders with the list of orbits and H2O density and volume mixing ratio for each orbit. H2O data files are named "orbXXXXXAY_H2O_vmr(density).txt", where XXXXX is the decimal orbit number, Y is the occultation number in orbit.
DOI: 10.17632/fsgc53mgvj.1
title: Experimental dataset on sediment depths in studying the influences of dry- and wet-bed downstream conditions on multiphase dam break flood wave while 0 to 25% of the dam reservoir is occupied by sedimentation

description: Experimental data collection In this file, all sediment depth data associated with 8 different dam break scenarios were extracted from high-quality experimental video images. The dataset are collected, classified and presented a total of 8 distinct tables in 2 categories based on initial upstream sediment depth; 3 cm and 7.5 cm. Tables 1-4, present the sediment depth data at 20 different locations along the flume and 15 snap times after the dam break, while the initial upstream sediment depth is 3 cm (10% of the reservoir height). Dry- and wet-bed initial downstream condition with 2 cm, 4 cm and 5 cm standing water depth are detailed in Table 1-4, respectively. Table 5-8 provide the sediment depth data at all abovementioned sections and snap times while the initial upstream sediment depth is 7.5 cm (25% of the reservoir height), and dry- or wet-bed downstream with 2 cm, 4 cm and 5 cm standing water depth were considered as initial downstream conditions, respectively. Affiliations 1st Author: Foad Vosoughi, Research Associate, Department of Civil and Environmental Engineering, Shiraz University, Shiraz, Iran. foad.vosooghi@gmail.com 2nd Author: Gholamreza Rakhshandehroo, Professor, Department of Civil and Environmental Engineering, Shiraz University, Shiraz, Iran. 3rd Author: Mohammad Reza Nikoo, Associate Professor, Department of Civil and Environmental Engineering, Shiraz University, Shiraz, Iran.
DOI: 10.17632/nc573y67tp.1
title: Experimental dataset on water levels in studying the influences of dry- and wet-bed downstream conditions on multiphase dam break flood wave while 0 to 25% of the dam reservoir is occupied by sedimentation

description: Experimental data collection In this file, all water level data associated with 12 different dam break scenarios were extracted from high-quality experimental video images. The dataset are collected, classified and presented a total of 12 distinct tables in 3 categories based on initial upstream sediment depth; 0 cm, 3 cm and 7.5 cm. Tables 1-4, present the free surface water level data at 20 different locations along the flume and 15 snap times after the dam break, while the upstream reservoir was filled by clear water (no sediment). Dry- and wet-bed initial downstream condition with 2 cm, 4 cm and 5 cm standing water depth are detailed in Table 1-4, respectively. Table 5-8 provide the free surface water level data at all abovementioned sections and snap times while the initial upstream sediment depth is 3 cm (10% of the reservoir height), and dry- or wet-bed downstream with 2 cm, 4 cm and 5 cm standing water depth were considered as initial downstream conditions, respectively. Table 9-12 show the free surface water level data at all sections and snap times while the initial upstream sediment depth is 7.5 cm (25% of the reservoir height), and dry- or wet-bed downstream with 2 cm, 4 cm and 5 cm standing water depth were considered as initial downstream conditions, respectively. Foad Vosoughi, Gholamreza Rakhshandehroo, Mohammad Reza Nikoo Affiliations 1st Author: Foad Vosoughi, Research Associate, Department of Civil and Environmental Engineering, Shiraz University, Shiraz, Iran. foad.vosooghi@gmail.com 2nd Author: Gholamreza Rakhshandehroo, Professor, Department of Civil and Environmental Engineering, Shiraz University, Shiraz, Iran. 3rd Author: Mohammad Reza Nikoo, Associate Professor, Department of Civil and Environmental Engineering, Shiraz University, Shiraz, Iran.
DOI: 10.17632/hykfngryv9.1
title: 2020WR028983

description: The result of 2020WR028983
DOI: 10.17632/m6fgnjgy3f.2
title: The Use of Students’ Linguistic Resources in Teaching English as an Additional Language in Norway. Prilutskaya, M., Knoph, R., & and Allen Hanssen, J. (2020)

description: Appendices, updated version
DOI: 10.17632/vmr9zrrgky.1
title: Supplementary information for "Plasma Proteomics identify Biomarkers and Pathogenesis of COVID-19"

description: Provided here are the supplementary information for the below manuscript published in Immunity entitled as "Plasma Proteomics identify Biomarkers and Pathogenesis of COVID-19".
DOI: 10.17632/jf43t395zs.2
title: Survey on Vietnamese Student's Academic Perfectionism

description: "Student's Academic Perfectionsim" is a dataset capturing the academic perfectionism of upper secondary Vietnamese students. This dataset gathered 2930 observations from February to March, 2020. Specifically, this dataset emphasizes five aspects: (i) The demographic information of students; (ii) The level of students’ perfectionism; (iii) Student's believe in school meritocracy; (iv) Student's competitiveness among students and (v) Their intrinsic motivation towards the achievement.