cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7504489
title: A dataset of global sand flux (1950-2021)

description: Simply, we use all effective friction velocities derived from the instantaneous estimates of 10 m u-component and v-component hourly wind speeds of the ERA5-Land reanalysis product from 1950 to 2021 to infer sand flux based on the physics formulas of blown sand, and according to the existing studies (Gunn et al., 2021; Chanteloube et al., 2022; Gunn et al., 2022a; Gunn et al., 2022b), further improve the conceptual framework of sand flux, and simply define the flux potential (FP), resultant flux potential (RFP) and azimuthal flux potential (FP_N, FP_NNE, FP_NE, FP_NEE, FP_E, FP_EES, FP_ES, FP_ESS, FP_S, FP_SSW, FP_WS, FP_WWS, FP_W, FP_WWN, FP_NW and FP_NNW). Specifically, FP is the sum of FPs moving to all azimuths; RFP is the resultant flux potential, represents net sand transport potential under the different wind directions; RFD is the resultant flux direction, represents net trend of sand flux; FDV is flux directional variability, defined as the ratio of RFP/FP, represents that the flux moves to the same direction (approximate to 1) or many directions (approximate to 0); FP_azimuth represents the azimuthal flux potential, the sum of azimuthal flux potentials is flux potential (FP); RFP_N or RFP_E represent that FPs to all azimuths are projected to the due-north and due-east directions in order to solve the RFP, RFD and the final FDV. All fluxes are the bulk-volume flux, the units are m<sup>2</sup> yr<sup>-1</sup>. Specifically, FP is the sum of FPs moving to all azimuths; RFP is the resultant flux potential, represents net sand transport potential under the different wind directions; RFD is the resultant flux direction, represents net trend of sand flux; FDV is flux directional variability, defined as the ratio of RFP/FP, represents that the flux moves to the same direction (approximate to 1) or many directions (approximate to 0); FP_azimuth represents the azimuthal flux potential, the sum of azimuthal flux potentials is flux potential (FP); RFP_N or RFP_E represent that FPs to all azimuths are projected to the due-north and due-east directions in order to solve the RFP, RFD and the final FDV. References: 1 Gunn, A., Wanker, M., Lancaster, N., Edmonds, D. A., Ewing, R. C. & Jerolmack, D. J. 2021. Circadian rhythm of dune-field activity. Geophysical Research Letters, 48, e2020GL090924. 2 Chanteloube, C., Barrier, L., Derakhshani, R., Gadal, C., Braucher, R., Payet, V., Léanni, L. & Narteau, C. 2022. Source-to-sink aeolian fluxes from arid landscape dynamics in the Lut Desert. Geophysical Research Letters, 49, e2021GL097342. 3 Gunn, A., Casasanta, G., Di Liberto, L., Falcini, F., Lancaster, N. & Jerolmack, D. J. 2022a. What sets aeolian dune height? Nature Communications, 13, 2401. 4 Gunn, A., East, A. & Jerolmack, D. J. 2022b. 21st-century stagnation in unvegetated sand-sea activity. Nature Communications, 13, 3670.
DOI: 10.5281/zenodo.7504488
title: A dataset of global sand flux (1950-2021)

description: Simply, we use all effective friction velocities derived from the instantaneous estimates of 10 m u-component and v-component hourly wind speeds of the ERA5-Land reanalysis product from 1950 to 2021 to infer sand flux based on the physics formulas of blown sand, and according to the existing studies (Gunn et al., 2021; Chanteloube et al., 2022; Gunn et al., 2022a; Gunn et al., 2022b), further improve the conceptual framework of sand flux, and simply define the flux potential (FP), resultant flux potential (RFP) and azimuthal flux potential (FP_N, FP_NNE, FP_NE, FP_NEE, FP_E, FP_EES, FP_ES, FP_ESS, FP_S, FP_SSW, FP_WS, FP_WWS, FP_W, FP_WWN, FP_NW and FP_NNW). Specifically, FP is the sum of FPs moving to all azimuths; RFP is the resultant flux potential, represents net sand transport potential under the different wind directions; RFD is the resultant flux direction, represents net trend of sand flux; FDV is flux directional variability, defined as the ratio of RFP/FP, represents that the flux moves to the same direction (approximate to 1) or many directions (approximate to 0); FP_azimuth represents the azimuthal flux potential, the sum of azimuthal flux potentials is flux potential (FP); RFP_N or RFP_E represent that FPs to all azimuths are projected to the due-north and due-east directions in order to solve the RFP, RFD and the final FDV. All fluxes are the bulk-volume flux, the units are m<sup>2</sup> yr<sup>-1</sup>. Specifically, FP is the sum of FPs moving to all azimuths; RFP is the resultant flux potential, represents net sand transport potential under the different wind directions; RFD is the resultant flux direction, represents net trend of sand flux; FDV is flux directional variability, defined as the ratio of RFP/FP, represents that the flux moves to the same direction (approximate to 1) or many directions (approximate to 0); FP_azimuth represents the azimuthal flux potential, the sum of azimuthal flux potentials is flux potential (FP); RFP_N or RFP_E represent that FPs to all azimuths are projected to the due-north and due-east directions in order to solve the RFP, RFD and the final FDV. References: 1 Gunn, A., Wanker, M., Lancaster, N., Edmonds, D. A., Ewing, R. C. & Jerolmack, D. J. 2021. Circadian rhythm of dune-field activity. Geophysical Research Letters, 48, e2020GL090924. 2 Chanteloube, C., Barrier, L., Derakhshani, R., Gadal, C., Braucher, R., Payet, V., Léanni, L. & Narteau, C. 2022. Source-to-sink aeolian fluxes from arid landscape dynamics in the Lut Desert. Geophysical Research Letters, 49, e2021GL097342. 3 Gunn, A., Casasanta, G., Di Liberto, L., Falcini, F., Lancaster, N. & Jerolmack, D. J. 2022a. What sets aeolian dune height? Nature Communications, 13, 2401. 4 Gunn, A., East, A. & Jerolmack, D. J. 2022b. 21st-century stagnation in unvegetated sand-sea activity. Nature Communications, 13, 3670.
DOI: 10.5281/zenodo.7093589
title: Postprocessed data for "Tracing the rain formation pathways in numerical simulations of deep convection"

description: This dataset is associated with the journal paper "Tracing the rain formation pathways in numerical simulations of deep convection". There are six .npz files containing data for the 5 simulations (CTRL, CTRLrfix, K13, CTRL800, K13800)<br> and one npz file containing data for constructing the rain pdfs of simulation CTRL (Figure 6). This work was performed under the auspices of the U.S. Department of Energy by Lawrence Livermore National Laboratory under Contract DE-AC52‐07NA27344 IM Release number LLNL-MI-843623
DOI: 10.6084/m9.figshare.21266568
title: Data from: Back to life: Techniques for developing high-quality 3D reconstructions of plants and animals from digitized specimens

description: <strong> </strong> <strong>This is the supplementary material for </strong><em><strong>Back to life: Techniques for developing high-quality 3D reconstructions of plants and animals from digitized specimens</strong></em> <br> <strong>This folder includes:</strong> <br> <strong>Beginner tutorial:</strong> Fossil plant cupule (<em>Petriellaea triangulata</em> [Shi et al. 2021]) o <em>Included files: </em>Cupule Tutorial (.docx), 3D object files (Cupule before.stl, Cupule before.obj) o <em>Necessary software</em>: Meshlab o <em>Skills developed</em>: Shrinkwrapping, simplification <br> <strong>Intermediate tutorial: </strong>Reptile (<em>Sphenodon punctatus </em>[downloaded from Morphosource.org]) o <em>Included files</em>: Sphenodon Tutorial (.docx), 3D object files (Sphenodon with holes.stl, Sphenodon with holes.obj) o <em>Necessary software</em>: Meshlab, Autodesk Maya, Autodesk Fusion 360 o <em>Skills developed</em>: Rearticulation, repair of broken fossils, basic sculpting, shrinkwrapping. <br> <strong>Advanced tutorial: </strong>Fossil crab (<em>Cretapsara athanata</em> [Luque et al. 2021)] o <em>Included files: </em>Tutorial (.docx), 3D object files (Crab before.stl, Crab before.obj) o <em>Necessary software</em>: Meshlab, Autodesk Maya o <em>Skills developed</em>: Debris removal, structural repair, shrinkwrapping, rearticulation, smoothing and simplification <br> Meshlab is an opensource software available at https://www.meshlab.net/ <br> Autodesk Maya and Fusion 360 are available with a student and educators license at https://www.autodesk.com/education/edu-software/overview
DOI: 10.5281/zenodo.7471959
title: GNSS-A data observed in SAGA site in SGO-A using UAV (November 2022)

description: Contains the GNSS-A data obtained by UAV at SAGA site in SGO-A on November 2022. Initial datasets are stored in the following directories:<br> -[initcfg]: contains initial site-parameter files<br> -[obsdata]: contains initial acoustic observation files Datasets after array determination are stored in the following directories:<br> -[single-default]: contains the results of preprocessing (non-rigid-array analysis)<br> -[cfgfix-default]: contains initial site-parameter files for rigid-array analysis<br> -[fix-abic]: contains the results of preprocessing (rigid-array analysis) These data can be processed with GARPOS. SGO-A has been operated by the Japan Coast Guard.
DOI: 10.5281/zenodo.7471958
title: GNSS-A data observed in SAGA site in SGO-A using UAV (November 2022)

description: Contains the GNSS-A data obtained by UAV at SAGA site in SGO-A on November 2022. Initial datasets are stored in the following directories:<br> -[initcfg]: contains initial site-parameter files<br> -[obsdata]: contains initial acoustic observation files Datasets after array determination are stored in the following directories:<br> -[single-default]: contains the results of preprocessing (non-rigid-array analysis)<br> -[cfgfix-default]: contains initial site-parameter files for rigid-array analysis<br> -[fix-abic]: contains the results of preprocessing (rigid-array analysis) These data can be processed with GARPOS. SGO-A has been operated by the Japan Coast Guard.
DOI: 10.5281/zenodo.7470938
title: Super Resolved and Multi-Label Segmented PEMFC

description: Super Resolved and Multi-Label Segmented PEMFC with Configuration Files for; Large-scale Physically Accurate Modelling of Real Proton Exchange Membrane Fuel Cell with Deep Learning, Nature Communications. ffov_crop_origsize.tiff - LOW RESOLUTION REGISTERED TRAINING BLOCK<br> md5:0b8293b1bf6ded48df1cdd6a36b22e61 8.8 MB inputFile.db - LBPM INPUT FILE<br> md5:542d244a9552d6b4b1b7ecfa8fd1c153 1 kB LRTest.tif - LOW RESOLUTION FULL FOV DOMAIN<br> md5:85f2ccaff7b96188062efd6ab241630b 1.3 GB PEFC_hres_0p7um.tiff - HIGH RESOLUTION REGISTERED TRAINING BLOCK<br> md5:ec918d150a6bb6ee5af576cb0bc55c03 1.7 GB SRSegFinal_Processed_oneWeave_Opened.tif - SUPER RESOLVED AND MULTI-LABEL SEGMENTED FULL FOV DOMAIN<br> md5:20c7aea8c3b832b400811958b8ea243a 2.2 GB SRSegWithGC.tif - SUPER RESOLVED AND MULTI-LABEL SEGMENTED FULL FOV DOMAIN WITH GAS CHANNELS<br> md5:8a6cdd51d7b1b55f1ce9e0beaaa0aaed 2.5 GB SRVis_1100_4000_8000.raw - SUPER RESOLVED FULL FOV DOMAIN<br> md5:3ba78b624e60845c09f1d34820eb68e5 35.2 GB
DOI: 10.5281/zenodo.7470937
title: Super Resolved and Multi-Label Segmented PEMFC

description: Super Resolved and Multi-Label Segmented PEMFC with Configuration Files for; Large-scale Physically Accurate Modelling of Real Proton Exchange Membrane Fuel Cell with Deep Learning, Nature Communications. ffov_crop_origsize.tiff - LOW RESOLUTION REGISTERED TRAINING BLOCK<br> md5:0b8293b1bf6ded48df1cdd6a36b22e61 8.8 MB inputFile.db - LBPM INPUT FILE<br> md5:542d244a9552d6b4b1b7ecfa8fd1c153 1 kB LRTest.tif - LOW RESOLUTION FULL FOV DOMAIN<br> md5:85f2ccaff7b96188062efd6ab241630b 1.3 GB PEFC_hres_0p7um.tiff - HIGH RESOLUTION REGISTERED TRAINING BLOCK<br> md5:ec918d150a6bb6ee5af576cb0bc55c03 1.7 GB SRSegFinal_Processed_oneWeave_Opened.tif - SUPER RESOLVED AND MULTI-LABEL SEGMENTED FULL FOV DOMAIN<br> md5:20c7aea8c3b832b400811958b8ea243a 2.2 GB SRSegWithGC.tif - SUPER RESOLVED AND MULTI-LABEL SEGMENTED FULL FOV DOMAIN WITH GAS CHANNELS<br> md5:8a6cdd51d7b1b55f1ce9e0beaaa0aaed 2.5 GB SRVis_1100_4000_8000.raw - SUPER RESOLVED FULL FOV DOMAIN<br> md5:3ba78b624e60845c09f1d34820eb68e5 35.2 GB
DOI: 10.6084/m9.figshare.21818106
title: Magnetotelluric data and natural seismic data in Huangmei - Ruichang area, China

description: The magnetotelluric inversion system uses WINGLINK, LINE-A, LINE-B and LINE-B as the apparent resistivity and phase data of the survey line. Natural seismic data refers to natural earthquake data.
DOI: 10.6084/m9.figshare.21818100
title: Bus Study PM2.5

description: Bus study supplementary data.
DOI: 10.6084/m9.figshare.21818100.v1
title: PM2.5 concentration change on bus

description: Bus study supplementary data.
DOI: 10.6084/m9.figshare.21818100.v2
title: Bus Study PM2.5

description: Bus study supplementary data.
DOI: 10.34740/kaggle/dsv/4809467
title: OntoUML/UFO Catalog
DOI: 10.6084/m9.figshare.21818391
title: Integrative ATAC-seq and RNA-seq Analyses of IPEC-J2 Cells Reveals Porcine Transcription and Chromatin Accessibility Changes Associated with Escherichia coli F18ac Inhibited by Lactobacillus reuteri

description: <em>Escherichia coli </em>(<em>E. coli</em>) is the main cause of postweaning diarrhea in pigs, leading to economic loss. As a probiotic, <em>Lactobacillus reuteri </em>(<em>L. reuteri</em>) has been used to inhibit<em> E. coli</em> in clinical applications; however, its integrative interactions with hosts remain unclear, especially in pigs. Here, we found that <em>L. reuteri</em> effectively inhibited <em>E. coli </em>F18ac adhering to porcine IPEC-J2 cells, and explored the genome-wide transcription and chromatin accessibility landscapes of IPEC-J2 cells by RNA-seq and ATAC-seq<em>.</em>
DOI: 10.6084/m9.figshare.21818391.v1
title: Integrative ATAC-seq and RNA-seq Analyses of IPEC-J2 Cells Reveals Porcine Transcription and Chromatin Accessibility Changes Associated with Escherichia coli F18ac Inhibited by Lactobacillus reuteri

description: <em>Escherichia coli </em>(<em>E. coli</em>) is the main cause of postweaning diarrhea in pigs, leading to economic loss. As a probiotic, <em>Lactobacillus reuteri </em>(<em>L. reuteri</em>) has been used to inhibit<em> E. coli</em> in clinical applications; however, its integrative interactions with hosts remain unclear, especially in pigs. Here, we found that <em>L. reuteri</em> effectively inhibited <em>E. coli </em>F18ac adhering to porcine IPEC-J2 cells, and explored the genome-wide transcription and chromatin accessibility landscapes of IPEC-J2 cells by RNA-seq and ATAC-seq<em>.</em>
DOI: 10.6084/m9.figshare.21818400
title: Bus PM2.5

description: Bus study supplementary data.
DOI: 10.6084/m9.figshare.21818400.v1
title: Bus PM2.5

description: Bus study supplementary data.
DOI: 10.5281/zenodo.7135132
title: A model for the dissemination of circulating tumour cell clusters involving platelet recruitment and a plastic switch between cooperative and individual behaviours

description: This folder includes live/dead cell counts as well as transwell assay data for the corresponding manuscript.
DOI: 10.5281/zenodo.7135131
title: A model for the dissemination of circulating tumour cell clusters involving platelet recruitment and a plastic switch between cooperative and individual behaviours

description: This folder includes live/dead cell counts as well as transwell assay data for the corresponding manuscript.
DOI: 10.6084/m9.figshare.19706773
title: PAMpal Workshop - PAMGuard Data

description: This contains folders of processed PAMGuard data for use in the PAMpal tutorial. The "Databases" and "Binary" folders in the main directory are used for creating the "Training" dataset, and the same folders within the "Prediction" folder are for the "Prediction" dataset. This dataset contains acoustic detections of odontocete species from NOAA's CalCurCEAS 2014 cruise.
DOI: 10.6084/m9.figshare.19706773.v1
title: PAMpal Workshop - PAMGuard Data

description: This contains folders of processed PAMGuard data for use in the PAMpal tutorial. The "Databases" and "Binary" folders in the main directory are used for creating the "Training" dataset, and the same folders within the "Prediction" folder are for the "Prediction" dataset. This dataset contains acoustic detections of odontocete species from NOAA's CalCurCEAS 2014 cruise.
DOI: 10.21227/c9ps-3641
title: Supplement media for Proactive Body Joint Adaptation for Energy-Efficient Locomotion of Bio-Inspired Multi-Segmented Robots

description: Typically, control strategies for legged robots have been developed to adapt their leg movements to deal with complex terrain. When the legs are extended in search of ground contact to support the robot body, this can result in the center of gravity (CoG) being raised higher from the ground and can lead to unstable locomotion if it deviates from the support polygon. An alternative approach is body adaptation, inspired by millipede/centipede locomotion behavior, which can result in low ground clearance and stable locomotion. In this study, we propose novel proactive neural control with online unsupervised learning, allowing multi-segmented, legged robots to proactively adapt their body to follow the surface contour and maintain efficient ground contact. Our approach requires neither kinematics nor environmental models. It relies solely on proprioceptive sensory feedback and short-term memory, enabling the robots to deal with complex 3D terrains. In comparison to traditional reflex-based control, our approach results in smoother and more energy-efficient robot locomotion on terrains with concave and convex curves or slopes of varying degrees in both simulation and real-world implementation.
DOI: 10.34740/kaggle/dsv/4809566
title: 💥📰 Daily Breaking News Twitter Dataset
DOI: 10.6084/m9.figshare.12803105
title: Quantified life

description: <b>Source</b>Data are scraped from a simple Fitbit that tracked steps and sleep (one individual person listed here). Aggregated to day.<br><b>Meta-data</b>simple_date is m/m/d format.<br>year is year listed only.<br>steps are total daily steps.<br>mins_asleep is the total time asleep each night.<br>efficiency is the Fitbit estimate sleep efficiency based on total time in bed, total time awake versus sleep, and number of times restless.<br>lagged_sleep are the minutes asleep lagged by one day (ie from the night before)<br>lagged_efficiency is the efficiency in the sleep from the night before<br><br>
DOI: 10.6084/m9.figshare.12803105.v5
title: Quantified life

description: <b>Source</b>Data are scraped from a simple Fitbit that tracked steps and sleep (one individual person listed here). Aggregated to day.<br><b>Meta-data</b>simple_date is m/m/d format.<br>year is year listed only.<br>steps are total daily steps.<br>mins_asleep is the total time asleep each night.<br>efficiency is the Fitbit estimate sleep efficiency based on total time in bed, total time awake versus sleep, and number of times restless.<br>lagged_sleep are the minutes asleep lagged by one day (ie from the night before)<br>lagged_efficiency is the efficiency in the sleep from the night before<br><br>
DOI: 10.6084/m9.figshare.12803105.v6
title: Quantified life

description: <b>Source</b>Data are scraped from a simple Fitbit that tracked steps and sleep (one individual person listed here). Aggregated to day.<br><b>Meta-data</b>simple_date is m/m/d format.<br>year is year listed only.<br>steps are total daily steps.<br>mins_asleep is the total time asleep each night.<br>efficiency is the Fitbit estimate sleep efficiency based on total time in bed, total time awake versus sleep, and number of times restless.<br>lagged_sleep are the minutes asleep lagged by one day (ie from the night before)<br>lagged_efficiency is the efficiency in the sleep from the night before<br><br>
DOI: 10.6084/m9.figshare.21746841
title: Supplemental Table 2 from Mutations in coral soma and sperm imply lifelong stem cell renewal and cell lineage selection

description: List of verified SNVs and their metadata
DOI: 10.6084/m9.figshare.21746841.v1
title: Supplemental Table 2 from Mutations in coral soma and sperm imply lifelong stem cell renewal and cell lineage selection

description: List of verified SNVs and their metadata
DOI: 10.6084/m9.figshare.21746844
title: Supplemental Table 1 from Mutations in coral soma and sperm imply lifelong stem cell renewal and cell lineage selection

description: Summary of sequencing depth and SNV counts
DOI: 10.6084/m9.figshare.21746844.v1
title: Supplemental Table 1 from Mutations in coral soma and sperm imply lifelong stem cell renewal and cell lineage selection

description: Summary of sequencing depth and SNV counts
DOI: 10.6084/m9.figshare.21746850
title: Supplemental Table 3 from Mutations in coral soma and sperm imply lifelong stem cell renewal and cell lineage selection

description: Summary statistics for Acropora hyacinthus version 1 genome annotations
DOI: 10.6084/m9.figshare.21746850.v1
title: Supplemental Table 3 from Mutations in coral soma and sperm imply lifelong stem cell renewal and cell lineage selection

description: Summary statistics for Acropora hyacinthus version 1 genome annotations
DOI: 10.34740/kaggle/dsv/4809572
title: 🇺🇦 Ukraine Conflict Twitter Dataset
DOI: 10.6084/m9.figshare.21818493
title: Supplementary Materials.docx

description: <em>mental health status and sleep quality of university students following the local COVID-19 outbreak</em>
DOI: 10.6084/m9.figshare.21818493.v1
title: Supplementary Materials.docx

description: <em>mental health status and sleep quality of university students following the local COVID-19 outbreak</em>
DOI: 10.5281/zenodo.7504997
title: Protective efficacy of anti-Hyr1p monoclonal antibody against systemic candidiasis due to multi-drug resistant Candida auris

description: Supplementary data set
DOI: 10.5281/zenodo.7504996
title: Protective efficacy of anti-Hyr1p monoclonal antibody against systemic candidiasis due to multi-drug resistant Candida auris

description: Supplementary data set
DOI: 10.6084/m9.figshare.19436285
title: Supplementary file S1. from Dietary isotopes of Madagascar's extinct megafauna reveal Holocene browsing and grazing guilds

description: Megafauna plays a disproportionate role in developing and maintaining their biomes, by regulating plant dispersal, community structure and nutrient cycling. Understanding the ecological roles of extinct megafaunal communities, for example through dietary reconstruction using isotope analysis, is necessary to determine pre-human states and set evidence-based restoration goals. We use <i>δ</i><sup>13</sup>C and <i>δ</i><sup>15</sup>N isotopic analyses to reconstruct Holocene feeding guilds in Madagascar's extinct megaherbivores, which included elephant birds, hippopotami and giant tortoises that occurred across multiple habitats and elevations. We compare isotopic data from seven taxa and two elephant bird eggshell morphotypes against contemporary regional floral baselines to infer dietary subsistence strategies. Most taxa show high consumption of C<sub>3</sub> and/or CAM plants, providing evidence of widespread browsing ecology. However, <i>Aepyornis hildebrandti</i>, an elephant bird restricted to the central highlands region, has isotope values with much higher <i>δ</i><sup>13</sup>C values than other taxa. This species is interpreted as having obtained up to 48% of its diet from C<sub>4</sub> grasses. These findings provide new evidence for distinct browsing and grazing guilds in Madagascar's Holocene megaherbivore fauna, with implications for past regional distribution of ecosystems dominated by endemic C<sub>4</sub> grasses.