cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.13204964
title: R0310-DLC_output

description: deeplabcut output and processed 3D reconstructions of data for rat 0310."_direct" zip files contain .csv's from the direct view and .mat files with cropping regions"_right/left" zip files contain .csv's from the mirror view and .mat files with cropping regions"_processed" files contain 3D reconstructions and reach analyses
DOI: 10.6084/m9.figshare.13204964.v1
title: R0310-DLC_output

description: deeplabcut output and processed 3D reconstructions of data for rat 0310."_direct" zip files contain .csv's from the direct view and .mat files with cropping regions"_right/left" zip files contain .csv's from the mirror view and .mat files with cropping regions"_processed" files contain 3D reconstructions and reach analyses
DOI: 10.17632/6f2cv54ym8.2
title: A synchrotron computed tomography dataset for validation of longitudinal tensile failure models based on fibre break and cluster development

description: We performed in-situ tensile tests on two carbon fibre/epoxy composites with continuous scanning using synchrotron computed tomography (CT). Both composites were cross-ply laminates, and two specimens were tested for each composite. The voxel size was sufficiently small to recognize individual fibres and fibre breaks. For each test, 16-19 volumes were reconstructed, cropped down to the 0° plies and analysed to track fibre break and cluster development. This dataset provides the last CT volume before failure for each of the four specimens as well as the individual fibre break locations in all reconstructed volumes. These data are then plotted against predictions from six state-of-the-art strength models. The target is that these data become a benchmark for the development of new models, inspiring researchers to set up refined experiments and develop improved models.
DOI: 10.17632/r7mb72p8g9.1
title: supply to demand

description: Nilaparvata lugens populations and food demands in the rice field experiment for 40- to 103-day-old rice.
DOI: 10.17632/r6hxw9t2x3.1
title: Datasets for the article "Detrital zircon constraints on tectonic evolution of the Liaodong Paleoproterozoic orogenic belt in the Liaodong peninsula, North China Craton"

description: These data contain our geochronological and genchemical experimental data and collected published geochronological data where references are already listed to reveal that the Liaohe group and coeval intrusions were generated in the setting of back-arc basin and tectonic evolution of the Liaodong Paleoproterozoic orogenic belt can be subdivided into four stages, i. e. early back-arc extension stage (2200-2080 Ma), transitional stage (2080-1940 Ma), main orogenic deformation (1940-1840 Ma) and post-orogenic plutonic emplacement (&lt; 1840 Ma).
DOI: 10.5281/zenodo.4265108
title: TESS-JUNE-2020

description: Measurements taken by the European Photometer Network (Project STARS4ALL). June 2020
DOI: 10.5281/zenodo.4265107
title: TESS-JUNE-2020

description: Measurements taken by the European Photometer Network (Project STARS4ALL). June 2020
DOI: 10.5067/viirs/aerdb_l2_viirs_snpp_nrt.001
title: VIIRS/SNPP Deep Blue Aerosol L2 6-Min Swath 6 km (NRT)
DOI: 10.5067/viirs/aerdt_l2_viirs_snpp_nrt.001
title: VIIRS/SNPP Dark Target Aerosol L2 6-Min Swath 6 km (NRT)
DOI: 10.5067/viirs/cldmsk_l2_viirs_snpp_nrt.001
title: VIIRS/SNPP Cloud Mask L2 6-Min Swath 750m (NRT)
DOI: 10.5067/suomi-npp/omps-limb/l1-anc-grid/data12
title: OMPS Limb Profiler Gridded Level 1 Ancillary Product
DOI: 10.5067/suomi-npp/omps-limb/l1-ev-grid/data12
title: OMPS Limb Profiler Gridded Radiance Product
DOI: 10.5067/suomi-npp/omps-limb/l2-dailyaero/data22
title: OMPS Limb Profiler Daily Aerosol Level 2 Product
DOI: 10.5067/suomi-npp/omps-limb/l2-dailyo3/data22
title: OMPS Limb Profiler Daily Ozone Level 2 Data Product
DOI: 10.5067/suomi-npp/omps-limb/anc-grid/data11
title: OMPS Limb Profiler Gridded Ancillary Data (ANC)
DOI: 10.5067/suomi-npp/omps-limb/edr-dailyo3/data21
title: OMPS Limb Profiler Gridded Environmental Data Record (EDR)
DOI: 10.5067/suomi-npp/omps-limb/sdr-grid/data11
title: OMPS Limb Profiler Gridded Science Data Record (SDR)
DOI: 10.5067/firms/viirs/j114imgtdl_nrt.001
title: VIIRS Active Fire locations 375m FIRMS V001 NRT
DOI: 10.5281/zenodo.4265155
title: TESS-JULY-2020

description: Measurements taken by the European Photometer Network (Project STARS4ALL). July 2020
DOI: 10.5281/zenodo.4265154
title: TESS-JULY-2020

description: Measurements taken by the European Photometer Network (Project STARS4ALL). July 2020
DOI: 10.5067/suborbital/oracles/p3/2017_v1
title: Suite of Aerosol, Cloud and Related Data Acquired Aboard P3 During ORACLES 2017, Version 1
DOI: 10.5067/suborbital/oracles/p3/2018_v1
title: Suite of Aerosol, Cloud, and Related Data Acquired Aboard P3 During ORACLES 2018, Version 1
DOI: 10.5517/ccdc.csd.cc20x1ww
title: CCDC 1874008: Experimental Crystal Structure Determination

description: Related Article: Phillip D. G. Greenwood,  Erwann Grenet,  Jerome Waser|2019|Chem.-Eur.J.|25|3010|doi:10.1002/chem.201900020
DOI: 10.5517/ccdc.csd.cc24tq1r
title: CCDC 1990914: Experimental Crystal Structure Determination

description: Related Article: Julius Gemen, Johannes Ahrens, Linda J. W. Shimon, Rafal Klajn
|2020|J.Am.Chem.Soc.|142|17721|doi:10.1021/jacs.0c08589
DOI: 10.5517/ccdc.csd.cc24tq3t
title: CCDC 1990916: Experimental Crystal Structure Determination

description: Related Article: Julius Gemen, Johannes Ahrens, Linda J. W. Shimon, Rafal Klajn
|2020|J.Am.Chem.Soc.|142|17721|doi:10.1021/jacs.0c08589
DOI: 10.5517/ccdc.csd.cc1p2dbh
title: CCDC 1551436: Experimental Crystal Structure Determination

description: Related Article: Julius Gemen, Johannes Ahrens, Linda J. W. Shimon, Rafal Klajn
|2020|J.Am.Chem.Soc.|142|17721|doi:10.1021/jacs.0c08589
DOI: 10.5517/ccdc.csd.cc24zhl7
title: CCDC 1995519: Experimental Crystal Structure Determination

description: Related Article: Liqi Wang, Yichen Yu, Anton O. Razgoniaev, Patricia N. Johnson, Chenxu Wang, Yancong Tian, Roman Boulatov, Stephen L. Craig, Ross A. Widenhoefer|2020|J.Am.Chem.Soc.|142|17714|doi:10.1021/jacs.0c08506
DOI: 10.5517/ccdc.csd.cc24zhm8
title: CCDC 1995520: Experimental Crystal Structure Determination

description: Related Article: Liqi Wang, Yichen Yu, Anton O. Razgoniaev, Patricia N. Johnson, Chenxu Wang, Yancong Tian, Roman Boulatov, Stephen L. Craig, Ross A. Widenhoefer|2020|J.Am.Chem.Soc.|142|17714|doi:10.1021/jacs.0c08506
DOI: 10.5517/ccdc.csd.cc252ljd
title: CCDC 1998493: Experimental Crystal Structure Determination

description: Related Article: James A. Odendal, Jocelyn C. Bruce, Klaus R. Koch, Delia A. Haynes|2020|CrystEngComm|22|7399|doi:10.1039/D0CE00616E
DOI: 10.5517/ccdc.csd.cc252lkf
title: CCDC 1998494: Experimental Crystal Structure Determination

description: Related Article: James A. Odendal, Jocelyn C. Bruce, Klaus R. Koch, Delia A. Haynes|2020|CrystEngComm|22|7399|doi:10.1039/D0CE00616E
DOI: 10.5517/ccdc.csd.cc252llg
title: CCDC 1998495: Experimental Crystal Structure Determination

description: Related Article: James A. Odendal, Jocelyn C. Bruce, Klaus R. Koch, Delia A. Haynes|2020|CrystEngComm|22|7399|doi:10.1039/D0CE00616E
DOI: 10.5517/ccdc.csd.cc252lmh
title: CCDC 1998496: Experimental Crystal Structure Determination

description: Related Article: James A. Odendal, Jocelyn C. Bruce, Klaus R. Koch, Delia A. Haynes|2020|CrystEngComm|22|7399|doi:10.1039/D0CE00616E
DOI: 10.5517/ccdc.csd.cc252lnj
title: CCDC 1998497: Experimental Crystal Structure Determination

description: Related Article: James A. Odendal, Jocelyn C. Bruce, Klaus R. Koch, Delia A. Haynes|2020|CrystEngComm|22|7399|doi:10.1039/D0CE00616E
DOI: 10.5517/ccdc.csd.cc252lpk
title: CCDC 1998498: Experimental Crystal Structure Determination

description: Related Article: James A. Odendal, Jocelyn C. Bruce, Klaus R. Koch, Delia A. Haynes|2020|CrystEngComm|22|7399|doi:10.1039/D0CE00616E
DOI: 10.5517/ccdc.csd.cc252yks
title: CCDC 1998835: Experimental Crystal Structure Determination

description: Related Article: Sui Jun Li,  Fang Wen Jiao,  Wei Li,  Xuan Zhang,  Wei Yan,  and Rui Hua Jiao|2020|J.Nat.Prod.|83|2976|doi:10.1021/acs.jnatprod.0c00523
DOI: 10.5517/ccdc.csd.cc252ylt
title: CCDC 1998836: Experimental Crystal Structure Determination

description: Related Article: Sui Jun Li,  Fang Wen Jiao,  Wei Li,  Xuan Zhang,  Wei Yan,  and Rui Hua Jiao|2020|J.Nat.Prod.|83|2976|doi:10.1021/acs.jnatprod.0c00523
DOI: 10.5517/ccdc.csd.cc254t5b
title: CCDC 2000621: Experimental Crystal Structure Determination

description: Related Article: Jorge Salgado-Beceiro, Juan Manuel Bermúdez-García, Antonio Luis Llamas-Saiz, Socorro Castro-García, María Antonia Señarís-Rodríguez, Francisco Rivadulla, Manuel Sánchez-Andújar|2020|J.Mater.Chem.C|8|13686|doi:10.1039/D0TC04044D
DOI: 10.5517/ccdc.csd.cc23vcv6
title: CCDC 1961768: Experimental Crystal Structure Determination

description: Related Article: Kuppusamy Senthil Kumar, Nicolas Del Giudice, Benoît Heinrich, Laurent Douce, Mario Ruben|2020|Dalton Trans.|49|14258|doi:10.1039/D0DT02214D
DOI: 10.5517/ccdc.csd.cc259cd8
title: CCDC 2004999: Experimental Crystal Structure Determination

description: Related Article: Shu-Jie Chen, Guo-Shu Chen, Jia-Wei Zhang, Zhao-Dong Li, Yu-Lei Zhao, Yun-Lin Liu|2020|Org.Chem.Front.|7|3399|doi:10.1039/D0QO00807A
DOI: 10.5517/ccdc.csd.cc24y329
title: CCDC 1994170: Experimental Crystal Structure Determination

description: Related Article: Jacky S. Bouanga Boudiombo, Hong Su, Neil Ravenscroft, Susan A. Bourne, Luigi R. Nassimbeni|2020|CrystEngComm|22|7389|doi:10.1039/D0CE00510J
DOI: 10.5517/ccdc.csd.cc252lhc
title: CCDC 1998492: Experimental Crystal Structure Determination

description: Related Article: James A. Odendal, Jocelyn C. Bruce, Klaus R. Koch, Delia A. Haynes|2020|CrystEngComm|22|7399|doi:10.1039/D0CE00616E
DOI: 10.5517/ccdc.csd.cc25c670
title: CCDC 2006761: Experimental Crystal Structure Determination

description: Related Article: Naoya Morohashi, Yu Kurusu, Kosuke Akasaka, Tetsutaro Hattori|2020|RSC Advances|10|35473|doi:10.1039/D0RA05339B
DOI: 10.5517/ccdc.csd.cc25c681
title: CCDC 2006762: Experimental Crystal Structure Determination

description: Related Article: Naoya Morohashi, Yu Kurusu, Kosuke Akasaka, Tetsutaro Hattori|2020|RSC Advances|10|35473|doi:10.1039/D0RA05339B
DOI: 10.5517/ccdc.csd.cc24d2c0
title: CCDC 1977811: Experimental Crystal Structure Determination

description: Related Article: Jing Xie, Ting Wu, Xiaoling Wang, Chengfeng Yu, Wei Huang, Dayu Wu|2020|Inorg.Chem.|59|15460|doi:10.1021/acs.inorgchem.0c02488
DOI: 10.5517/ccdc.csd.cc24d2d1
title: CCDC 1977812: Experimental Crystal Structure Determination

description: Related Article: Jing Xie, Ting Wu, Xiaoling Wang, Chengfeng Yu, Wei Huang, Dayu Wu|2020|Inorg.Chem.|59|15460|doi:10.1021/acs.inorgchem.0c02488
DOI: 10.5281/zenodo.4265167
title: Data and code for: Time of night and moonlight structure vertical space use by insectivorous bats in a Neotropical rainforest: an acoustic monitoring study

description: Abstract Previous research has shown diverse vertical space use by various taxa, highlighting the importance of forest canopy. Yet, we often fail to explore how this three-dimensional space use changes over time. Here we use canopy tower systems in French Guiana to monitor neotropical bat activity above and below the forest canopy throughout nine nights in the wet season. We show that different bats use both canopy and understory space differently, and that this can change throughout the night. We find that bats are overall more active in the canopy, but multiple species/acoustic complexes are more active in the understory. We also find that species that do not seem to prefer understory or canopy, when data are aggregated by night, do show temporally changing preferences in hourly activity. This work highlights the need to consider temporal axes in studies of space use, both throughout daily cycles and across seasons.
DOI: 10.5281/zenodo.4019866
title: Data and code for: Time of night and moonlight structure vertical space use by insectivorous bats in a Neotropical rainforest: an acoustic monitoring study

description: Abstract Previous research has shown diverse vertical space use by various taxa, highlighting the importance of forest canopy. Yet, we often fail to explore how this three-dimensional space use changes over time. Here we use canopy tower systems in French Guiana to monitor neotropical bat activity above and below the forest canopy throughout nine nights in the wet season. We show that different bats use both canopy and understory space differently, and that this can change throughout the night. We find that bats are overall more active in the canopy, but multiple species/acoustic complexes are more active in the understory. We also find that species that do not seem to prefer understory or canopy, when data are aggregated by night, do show temporally changing preferences in hourly activity. This work highlights the need to consider temporal axes in studies of space use, both throughout daily cycles and across seasons.
DOI: 10.17632/cb4f5xw3nf.1
title: OCD-TMS Dataset

description: We demonstrated the mean, standard deviation (SD) and samplesize values of pre-post rTMS scores changes on the Y-BOCS and the number of patients who dropped out due to any adverse events in active rTMS and sham rTMS groups.
DOI: 10.5281/zenodo.4264877
title: Input dataset for land-cover mapping using eumap Library - 2000 to 2020

description: Benchmark dataset containing slope, elevation, Landsat temporal composites and night light raster layers, and the training samples (LUCAS and CORINE samples compilation) to map the land-cover in different areas of the European Union-EU. The slope and elevation refers to Digital Terrain Model for Continental Europe, and the night light images are from VNP46A1 product (VIIRS/NPP Daily Gridded Day Night Band 500m). The temporal composites were based on GLAD Landsat ARD, considering the 4 seasons and 3 percentiles per season (25, 50 and 75), for 6 spectral (blue, green, red, NIR, SWIR1, SWIR2) and 1 thermal band, resulting at end in 88 Landsat composites per year. The images for each season were selected using the same calendar dates for all period: Winter: December 2 of previous year until March 20 of current year Spring: March 21 until June 24 of current year Summer: June 25 until September 12 of current year Fall: September 13 until December 1 of current year The temporal composites were generated to Sentinel-2 L2A for 2018, 2019 and 2020, using the same approach (4 seasons x 3 percentiles x 6 spectral bands). The benchmark areas were selected according to the EU tiling system, which consists of 7,042 regular tiles with 30 x 30 km. The dataset uses the ETRS89-extended / LAEA Europe as spatial reference system (EPSG:3035), and all the raster layers have 1,000 x 1,000 pixels and 30m of spatial resolution. For all the EU the training samples will have 32 land-cover classes, varying according to the benchmark area: 111: Urban fabric 122: Road and rail networks and associated land 123: Port areas 124: Airports 131: Mineral extraction sites 132: Dump sites 133: Construction sites 141: Green urban areas 211: Non-irrigated arable land 212: Permanently irrigated arable land 213: Rice fields 221: Vineyards 222: Fruit trees and berry plantations 223: Olive groves 231: Pastures 311: Broad-leaved forest 312: Coniferous forest 321: Natural grasslands 322: Moors and heathland 323: Sclerophyllous vegetation 324: Transitional woodland-shrub 331: Beaches, dunes, sands 332: Bare rocks 333: Sparsely vegetated areas 334: Burnt areas 335: Glaciers and perpetual snow 411: Inland wetlands 421: Maritime wetlands 511: Water courses 512: Water bodies 521: Coastal lagoons 522: Estuaries 523: Sea and ocean See the eumap library for more information about the gapfiling approach and land-cover mapping using this dataset.
description: This work has received funding from the European Union's the Innovation and Networks Executive Agency (INEA) under Grant Agreement Connecting Europe Facility (CEF) Telecom project 2018-EU-IA-0095 (https://ec.europa.eu/inea/en/connecting-europe-facility/cef-telecom/2018-eu-ia-0095).
DOI: 10.25387/g3.13017866
title: Supplemental material for Chen et al., 2020

description: Supplementary File 1: Table S1Supplementary File 2: Table S2Supplementary File 3: Table S3, Table S4, and Table S5Supplementary File 4: Table S6Supplementary File 5: Table S7Supplementary File 6: Table S8Supplementary File 7: Table S9Supplementary File 8: Table S10<b></b><i></i><sub></sub><sup></sup>Supplementary File 9: Table S11Supplementary File 10: Table S12Supplementary File 11: Table S13Supplementary File 12: Figure S1 and Figure S2<b></b><i></i><sub></sub><sup></sup><br><b></b><i></i><sub></sub><sup></sup><b></b><i></i><sub></sub><sup></sup><b></b><i></i><sub></sub><sup></sup><b></b><i></i><sub></sub><sup></sup><br>
DOI: 10.25387/g3.13017866.v1
title: Supplemental material for Chen et al., 2020

description: Supplementary File 1: Table S1Supplementary File 2: Table S2Supplementary File 3: Table S3, Table S4, and Table S5Supplementary File 4: Table S6Supplementary File 5: Table S7Supplementary File 6: Table S8Supplementary File 7: Table S9Supplementary File 8: Table S10<b></b><i></i><sub></sub><sup></sup>Supplementary File 9: Table S11Supplementary File 10: Table S12Supplementary File 11: Table S13Supplementary File 12: Figure S1 and Figure S2<b></b><i></i><sub></sub><sup></sup><br><b></b><i></i><sub></sub><sup></sup><b></b><i></i><sub></sub><sup></sup><b></b><i></i><sub></sub><sup></sup><b></b><i></i><sub></sub><sup></sup><br>
DOI: 10.17632/3t26cmw7k2.1
title: Cryo-EM structure of an extended SARS-CoV-2 replication and transcription complex reveals an intermediate state in cap synthesis. Yan et al

description: Original data for Figure 4c.
DOI: 10.17632/4bfpyffxf7.3
title: NIR data of organic solvents

description: NIR data related to the research presented in van Kollenburg & van Manen et al. (2020): https://doi.org/10.1016/j.talanta.2020.121865
DOI: 10.17632/fwyjkykyf2.1
title: Collaborative Group-learning Activity

description: Collaborative Group-learning Activity
DOI: 10.17632/2yjzj3xjsz.1
title: organoid

description: 1.gene expression of the organoids and their parental tissues and tumors by RNA-seq 2.the gene mutations detected in tumor organoids and the parental tumor tissue
DOI: 10.17632/m3dx24g6bw.2
title: Dataset of e-scooter sharing schemes operational zones, Poland

description: In this repository, we present the vector dataset of the operational zones of e-scooter shared mobility services in the voivodeship capital cities in Poland. The data were acquired manually from the applications of a single provider of e-scooters for each city. The dataset contains not only the size and the position of the geographic service areas, or geofences of e-scooter sharing schemes, but also the size and position of no-parking zones, parking zones and low-speed zones, if applicable. The data can be used for various researches which cover the topic of micro-mobility, accessibility and broader issues connected with urban development and spatial management. The dataset captures the state of e-scooter sharing scheme in the voivodeship capital cities in Poland at the beginning of August 2020. Additionally, the data are accompanied by the table of cities with identified providers of e-scooter sharing systems.
DOI: 10.17632/fz2fk5sg36.1
title: Research data for the manuscript: Outburst nature of hydrocarbons on icy-bodies of the Solar System

description: Research data for the manuscript: Outburst nature of hydrocarbons on icy-bodies of the Solar System
DOI: 10.17632/4jvf24rt26.1
title: Industrial and municipal environmental wastes hazard contaminants assessment datasets

description: The novel data for mapping and quantification of the industrial and municipal environmental wastes hazard contaminants using the integration of RES2D techniques and Oasis Montaj Software plays a significant role in the exchanges between the environment, the ecosystems, the soil, and water bodies at the study are. Due to inappropriate disposals, combined with high risks of poorly composed /non-compose, untreated, and unsafe disposed, together with consistent soil and water surface temperatures, pollutants, in particular the landfills leachates contaminant plumes posed serious health related issues and environmental impacts. Application of location intelligent technique to map the gaseous fumes and leachate formations such as the organic contaminants, ammonia, nitrates, total nitrogen, suspended solids, heavy metals and soluble inorganic salts, percolating both the surface and the subsurface water bearing structures. High presence of heavy metals such as, Arsenic (As), Cadmium (Cd), Chromium (Cr), Cobalt (Co), Copper (Cu), Lead (Pb), Mercury (Hg), Nickel (Ni), and Zinc (Zn), in the soil and water samples analyzed from the mixtures of industrial and municipal wastes of the buried materials, could posed grave health challenges as possible sources of environmental pollution. To identify, and understand the fundamentals of the vibrant natural ecosystems, an electrical resistivity geophysical technique employing RES2D no-invasive, cost-effective and rapid technique of data collection, analysis and interpretation was integrated with geochemical analysis of the soil and water samples collected from the site, and the 3D model of the Oasis Montaj software to approximate the volume of the contaminants delineated from mixtures of the industrial, and municipal wastes plumes to be 312,000 m 3 of the generated rectangular prism model. The data area covered both industrial waste disposal (IWD) combined with municipal waste materials (MWM) located at about 1.5 km from the Malaysian Institute of Forest Research and about 1 km from the Bukit Lagong foothill. The raw data consist of six (6) RES2D ERT survey lines along the profiles selected, and evenly distributed on E-W, (3 lines), and N-S (3 lines) as presented in the Excel supplementary raw data file. The second file consist of the details survey parameters used to plot the 3D model in the Oasis Montaj software integrated with the RES2D raw datasets, and the GPS readings for each electrode position along the six geophysical profile lines. The detail pictorial images of all the six geophysical survey lines for the industrial and municipal wastes are presented as data Images in the supplementary file. Data from the soil, and water samples collected at the site and analyzed for hazardous waste materials are presented as Excel file format as the last supplementary data file.
DOI: 10.17632/rjmyz3j52y.1
title: Desterke et al, 2020, Heterogeneity of macrophage immunoproteasome activation during lung COVID19 disease

description: This study describe the activation of immunoproteasome components in M1 polarized macrophages at lung level during COVID19 disease. - Supplemental table 1:Table of genes implicated in MHC class I antigen presentation and found up regulated in COVID19 lung depending of SARS-COV2 virus level detected in the tissue - Supplemental Table 2: Genes found to be significant on PSMB8 cell trajectory inside CD14+/CD68+ bronchoalveolar cells from COVID19 patients - Supplemental Table 3 : Table of allele prevalence for 70 most frequent HLA-A,B,C through 20 ethnicities with worldwide distribution (USA NMDP bone marrow registry) - Supplemental Table 5: SARS-COV2 immunopeptidome against MHC class I presentation through 70 most prevalent HLA-A,B,C alleles