cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.22014860.v1
title: Mineralogical records of magma recharge and mixing: A case study of the Dahongliutan post-collisional potassic volcanic rocks in the NW Tibetan Plateau

description: Table S1 major (wt.%) and trace element(10-6) compositions of reference materials and trace element compositions of blank (10-9) . Table S2 major (wt.%) and trace element(10-6) compositions of the post-collisional potassic rocks in Dahongliutan volcanic field of NW Tibetan Plateau. Table S3 major (wt.%) element compositions of selected feldspars in post-collisional potassic rocks from Dahongliutan volcanic field of NW Tibetan Plateau . Table S4 major (wt.%) element compositions of selected pyroxenes in post-collisional potassic rocks from Dahongliutan volcanic field of NW Tibetan Plateau . Table S5 trace (ppm) element compositions of selected pyroxenes in post-collisional potassic rocks from Dahongliutan volcanic field of NW Tibetan Plateau . Table S6 major (wt.%) element compositions of selected olivines in post-collisional potassic rocks from Dahongliutan volcanic field of NW Tibetan Plateau . Table S7 major (wt.%) element compositions of selected apatites in post-collisional potassic rocks from Dahongliutan volcanic field of NW Tibetan Plateau . <br> <br> <br>
DOI: 10.6084/m9.figshare.21997043
title: Neonectria norticola, phylogenetic dataset

description: Alignment.
DOI: 10.6084/m9.figshare.21997043.v1
title: Neonectria norticola, phylogenetic dataset

description: Alignment.
DOI: 10.6084/m9.figshare.22124219.v8
title: The Urbanity Global Network Dataset

description: The Global Urban Network (GUN) dataset provides pre-computed node and edge attribute features for various cities. Each layer is available in .geojson format and can easily be converted into NetworkX, igraph, PyG, and DGL graph formats. <br> For node attributes, we adopt a uniform Euclidean approach, as it provides a consistent, straightforward, and extensible basis for integrating heterogeneous data sources across different network locations. Accordingly, we construct 100 metres euclidean buffers for each network node and compute the spatial intersection with spatial targets (e.g., street view imagery points, points of interest, and building footprints). To ensure spatial consistency and accurate distance computation, we project spatial entities into local coordinate reference systems (CRS). Users can employ the Urbanity package to generate Euclidean buffers of arbitrary distance. <br> For edge attributes, we adopt a two-step approach: 1) compute the distance between each spatial point of interest and its proximate edges in the network, and 2) assign entities to the corresponding edge with lowest distance. To account for remote edges (e.g., peripheral routes that are not located close to any amenities), we specify a distance threshold of 50 metres. For buildings, we compute the distance between building centroids and their respective network edge. Accordingly, we compute spatial indicators based on the set of elements assigned to each network edge. <br> We also release aggregated subzone statistics for each city. Similarly, users can employ the Urbanity package to generate aggregate statistics for any arbitrary geographic boundary. <br> Urbanity Python package: https://github.com/winstonyym/urbanity. <br> <br> <br> <br> <br>
DOI: 10.57745/nmqqws
title: Readme_LaMotte_EN.txt

description: "Read me" file
DOI: 10.57745/pxwrqo
title: BDD_Phetec_LaMotte_INRAE_TEMPO.xlsx

description: Données phénologiques observées à INRAE Le Rheu
DOI: 10.57745/tiwclv
title: Lisezmoi_LaMotte_FR.txt

description: Fichier "Lisez moi"
DOI: 10.5281/zenodo.8136451
title: Symplectic lattice gauge theories on Grid: approaching the conformal window---data release

description: This is the data release relative to the paper "Symplectic lattice gauge theories on Grid: approaching the conformal window" (arXiv:2306.11649). It contains pre-analysed data that can be plotted, and raw data that can be analysed and plotted through the analysis code in doi:10.5281/zenodo.8136514.
description: The work of EB, JL and BL has been funded by the UKRI Science and Technology Facilities Council (STFC) Research Software Engineering Fellowship EP/V052489/1, and by the ExaTEPP project EP/X017168/1. The work of NF has been supported by the STFC Consolidated Grant No. ST/X508834/1. The work of PB was supported in part by US DOE Contract DESC0012704(BNL), and in part by the Scientific Discovery through Advanced Computing (SciDAC) program LAB 22-2580. The work of DKH was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (NRF-2017R1D1A1B06033701). The work of LDD and AL was supported by the ExaTEPP project EP/X01696X/1. The work of JWL was supported in part by the National Research Foundation of Korea (NRF) grant funded by the Korea government(MSIT) (NRF-2018R1C1B3001379) and by IBS under the project code, IBS-R018-D1. The work of DKH and JWL was further supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (2021R1A4A5031460). The work of CJDL is supported by the Taiwanese NSTC grant 109-2112-M-009-006-MY3. The work of BL and MP has been supported in part by the STFC Consolidated Grants No. ST/P00055X/1 and No. ST/T000813/1. BL, MP, AL and LDD received funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation program under Grant Agreement No. 813942. The work of BL is further supported in part by the EPSRC ExCALIBUR programme ExaTEPP (project EP/X017168/1), by the Royal Society Wolfson Research Merit Award WM170010 and by the Leverhulme Trust Research Fellowship No. RF-2020-4619. LDD is supported by the UK Science and Technology Facility Council (STFC) grant ST/P000630/1. Numerical simulations have been performed on the Swansea SUNBIRD cluster (part of the Supercomputing Wales project) and AccelerateAI A100 GPU system, and on the DiRAC Extreme Scaling service at the University of Edinburgh. Supercomputing Wales and AccelerateAI are part funded by the European Regional Development Fund (ERDF) via Welsh Government. The DiRAC Extreme Scaling service is operated by the Edinburgh Parallel Computing Centre on behalf of the STFC DiRAC HPC Facility (www.dirac.ac.uk). This equipment was funded by BEIS capital funding via STFC capital grant ST/R00238X/1 and STFC DiRAC Operations grant ST/R001006/1. DiRAC is part of the National e-Infrastructure.
DOI: 10.5281/zenodo.8136452
title: Symplectic lattice gauge theories on Grid: approaching the conformal window---data release

description: This is the data release relative to the paper "Symplectic lattice gauge theories on Grid: approaching the conformal window" (arXiv:2306.11649). It contains pre-analysed data that can be plotted, and raw data that can be analysed and plotted through the analysis code in doi:10.5281/zenodo.8136514.
description: The work of EB, JL and BL has been funded by the UKRI Science and Technology Facilities Council (STFC) Research Software Engineering Fellowship EP/V052489/1, and by the ExaTEPP project EP/X017168/1. The work of NF has been supported by the STFC Consolidated Grant No. ST/X508834/1. The work of PB was supported in part by US DOE Contract DESC0012704(BNL), and in part by the Scientific Discovery through Advanced Computing (SciDAC) program LAB 22-2580. The work of DKH was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (NRF-2017R1D1A1B06033701). The work of LDD and AL was supported by the ExaTEPP project EP/X01696X/1. The work of JWL was supported in part by the National Research Foundation of Korea (NRF) grant funded by the Korea government(MSIT) (NRF-2018R1C1B3001379) and by IBS under the project code, IBS-R018-D1. The work of DKH and JWL was further supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (2021R1A4A5031460). The work of CJDL is supported by the Taiwanese NSTC grant 109-2112-M-009-006-MY3. The work of BL and MP has been supported in part by the STFC Consolidated Grants No. ST/P00055X/1 and No. ST/T000813/1. BL, MP, AL and LDD received funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation program under Grant Agreement No. 813942. The work of BL is further supported in part by the EPSRC ExCALIBUR programme ExaTEPP (project EP/X017168/1), by the Royal Society Wolfson Research Merit Award WM170010 and by the Leverhulme Trust Research Fellowship No. RF-2020-4619. LDD is supported by the UK Science and Technology Facility Council (STFC) grant ST/P000630/1. Numerical simulations have been performed on the Swansea SUNBIRD cluster (part of the Supercomputing Wales project) and AccelerateAI A100 GPU system, and on the DiRAC Extreme Scaling service at the University of Edinburgh. Supercomputing Wales and AccelerateAI are part funded by the European Regional Development Fund (ERDF) via Welsh Government. The DiRAC Extreme Scaling service is operated by the Edinburgh Parallel Computing Centre on behalf of the STFC DiRAC HPC Facility (www.dirac.ac.uk). This equipment was funded by BEIS capital funding via STFC capital grant ST/R00238X/1 and STFC DiRAC Operations grant ST/R001006/1. DiRAC is part of the National e-Infrastructure.
DOI: 10.6084/m9.figshare.6967445
title: Yamamoto 2018 PLOS ONE: Random Migration of iPSC-Derived Human Mesendoderm

description: Random Migration of Induced Pluripotent Stem Cell-Derived Human Gastrulation-Stage MesendodermYuta Yamamoto, et al., 2018 PLOS ONE<br><br>Data of the figures-----------------------------------------<br>Fig 1: Non<br>-----------------------------------------<br>Fig 2: : Raw photographs before adjusting brightness and contrast.<br>Undifferentiated hiPSCs<br>20160728131926_Un Oct.jpg, 20160728132632_Un T.jpg, 20180705095141_Un Ecad.jp, 20180705094942_Un Snail.jpg<br><br>Mesendoderm<br>20160728133325_dif Oct.jpg, 20160728133715_dif T.jpg, 20180705100747_Diff Ecad.jpg, 20180705101035_Diff Snail.jpg<br>-----------------------------------------Fig 3CDE: Individual values plotted in the graph<br>Fig 3c Trajectories Undiff hiPSCs.txt, Fig 3c Trajectories Day 1.txt, Fig 3c Trajectories Day 2.txtFig 3de Speed .txt<br>-----------------------------------------<br>Fig 4ABC: Individual values plotted in the graphfig 4a MSD Undif hiPSCs.txt, fig 4a MSD Day 1.txt, fig 4a MSD Day 2.txtfig 4bc MSD Fitting parameters.txt<br>-----------------------------------------<br>Fig 5AB: Individual values plotted in the graphFig 5ab sim.txt-----------------------------------------<br>
DOI: 10.6084/m9.figshare.6967445.v2
title: Yamamoto 2018 PLOS ONE: Random Migration of iPSC-Derived Human Mesendoderm

description: Random Migration of Induced Pluripotent Stem Cell-Derived Human Gastrulation-Stage MesendodermYuta Yamamoto, et al., 2018 PLOS ONE<br><br>Data of the figures-----------------------------------------<br>Fig 1: Non<br>-----------------------------------------<br>Fig 2: : Raw photographs before adjusting brightness and contrast.<br>Undifferentiated hiPSCs<br>20160728131926_Un Oct.jpg, 20160728132632_Un T.jpg, 20180705095141_Un Ecad.jp, 20180705094942_Un Snail.jpg<br><br>Mesendoderm<br>20160728133325_dif Oct.jpg, 20160728133715_dif T.jpg, 20180705100747_Diff Ecad.jpg, 20180705101035_Diff Snail.jpg<br>-----------------------------------------Fig 3CDE: Individual values plotted in the graph<br>Fig 3c Trajectories Undiff hiPSCs.txt, Fig 3c Trajectories Day 1.txt, Fig 3c Trajectories Day 2.txtFig 3de Speed .txt<br>-----------------------------------------<br>Fig 4ABC: Individual values plotted in the graphfig 4a MSD Undif hiPSCs.txt, fig 4a MSD Day 1.txt, fig 4a MSD Day 2.txtfig 4bc MSD Fitting parameters.txt<br>-----------------------------------------<br>Fig 5AB: Individual values plotted in the graphFig 5ab sim.txt-----------------------------------------<br>
DOI: 10.6084/m9.figshare.6967445.v1
title: Yamamoto 2018 PLOS ONE: Random Migration of iPSC-Derived Human Mesendoderm

description: Random Migration of Induced Pluripotent Stem Cell-Derived Human Gastrulation-Stage MesendodermYuta Yamamoto, et al., 2018 PLOS ONE<br><br>Data of the figures-----------------------------------------<br>Fig 1: Non<br>-----------------------------------------<br>Fig 2: : Raw photographs before adjusting brightness and contrast.<br>Undifferentiated hiPSCs<br>20160728131926_Un Oct.jpg, 20160728132632_Un T.jpg, 20180705095141_Un Ecad.jp, 20180705094942_Un Snail.jpg<br><br>Mesendoderm<br>20160728133325_dif Oct.jpg, 20160728133715_dif T.jpg, 20180705100747_Diff Ecad.jpg, 20180705101035_Diff Snail.jpg<br>-----------------------------------------Fig 3CDE: Individual values plotted in the graph<br>Fig 3c Trajectories Undiff hiPSCs.txt, Fig 3c Trajectories Day 1.txt, Fig 3c Trajectories Day 2.txtFig 3de Speed .txt<br>-----------------------------------------<br>Fig 4ABC: Individual values plotted in the graphfig 4a MSD Undif hiPSCs.txt, fig 4a MSD Day 1.txt, fig 4a MSD Day 2.txtfig 4bc MSD Fitting parameters.txt<br>-----------------------------------------<br>Fig 5AB: Individual values plotted in the graphFig 5ab sim.txt-----------------------------------------<br>
DOI: 10.11583/dtu.16708681
title: Datasets: Enhanced promotion of Ru-based ammonia catalysts by in situ dosing of Cs

description: Optimised structures for adsorbates that has been used and studied in the paper entitled: "<em>Enhanced promotion of Ru-based ammonia catalysts by in situ dosing of Cs</em>" These structures have been used for the theoretical studies and the DFT calculations in the mentioned paper.
DOI: 10.6084/m9.figshare.23666685
title: Mineralogical records of magma recharge and mixing: A case study of the post-collisional potassic volcanic rocks in Dahongliutan, NW Tibetan Plateau

description: Table S1 major (wt.%) and trace element(10-6) compositions of reference materials and trace element compositions of blank (10-9). Table S2 major (wt.%) and trace element(10-6) compositions of the post-collisional potassic rocks in Dahongliutan volcanic field of NW Tibetan Plateau. Table S3 major (wt.%) element compositions of selected feldspars in post-collisional potassic rocks from Dahongliutan volcanic field of NW Tibetan Plateau . Table S4 major (wt.%) element compositions of selected pyroxenes in post-collisional potassic rocks from Dahongliutan volcanic field of NW Tibetan Plateau . Table S5 trace (ppm) element compositions of selected pyroxenes in post-collisional potassic rocks from Dahongliutan volcanic field of NW Tibetan Plateau . Table S6 major (wt.%) element compositions of selected olivines in post-collisional potassic rocks from Dahongliutan volcanic field of NW Tibetan Plateau . Table S7 major (wt.%) element compositions of selected apatites in post-collisional potassic rocks from Dahongliutan volcanic field of NW Tibetan Plateau .
DOI: 10.6084/m9.figshare.23666685.v1
title: Mineralogical records of magma recharge and mixing: A case study of the post-collisional potassic volcanic rocks in Dahongliutan, NW Tibetan Plateau

description: Table S1 major (wt.%) and trace element(10-6) compositions of reference materials and trace element compositions of blank (10-9). Table S2 major (wt.%) and trace element(10-6) compositions of the post-collisional potassic rocks in Dahongliutan volcanic field of NW Tibetan Plateau. Table S3 major (wt.%) element compositions of selected feldspars in post-collisional potassic rocks from Dahongliutan volcanic field of NW Tibetan Plateau . Table S4 major (wt.%) element compositions of selected pyroxenes in post-collisional potassic rocks from Dahongliutan volcanic field of NW Tibetan Plateau . Table S5 trace (ppm) element compositions of selected pyroxenes in post-collisional potassic rocks from Dahongliutan volcanic field of NW Tibetan Plateau . Table S6 major (wt.%) element compositions of selected olivines in post-collisional potassic rocks from Dahongliutan volcanic field of NW Tibetan Plateau . Table S7 major (wt.%) element compositions of selected apatites in post-collisional potassic rocks from Dahongliutan volcanic field of NW Tibetan Plateau .
DOI: 10.11583/dtu.16708681.v1
title: Datasets: Enhanced promotion of Ru-based ammonia catalysts by in situ dosing of Cs

description: Optimised structures for adsorbates that has been used and studied in the paper entitled: "<em>Enhanced promotion of Ru-based ammonia catalysts by in situ dosing of Cs</em>" These structures have been used for the theoretical studies and the DFT calculations in the mentioned paper.
DOI: 10.5281/zenodo.8134464
title: Supplementary material for "Spin-Polarized Tunable Photocurrents"

description: Supplementary material for "Spin-Polarized Tunable Photocurrents", <em>Nano Lett.</em> 2021, 21, 7, 3177–3183 (2021), https://pubs.acs.org/doi/full/10.1021/acs.nanolett.1c00420
DOI: 10.5281/zenodo.8134463
title: Supplementary material for "Spin-Polarized Tunable Photocurrents"

description: Supplementary material for "Spin-Polarized Tunable Photocurrents", <em>Nano Lett.</em> 2021, 21, 7, 3177–3183 (2021), https://pubs.acs.org/doi/full/10.1021/acs.nanolett.1c00420
DOI: 10.5281/zenodo.8137884
title: Latest TomoTwin model

description: Latest model for the TomoTwin particle picking procedure: https://tomotwin-cryoet.readthedocs.io
DOI: 10.5281/zenodo.8137883
title: Latest TomoTwin model

description: Latest model for the TomoTwin particle picking procedure: https://tomotwin-cryoet.readthedocs.io
DOI: 10.6084/m9.figshare.23648604
title: MVPLAI data from October 8th to October 10th, 2022

description: MVPLAI data from October 8th to October 10th, 2022
DOI: 10.6084/m9.figshare.23648604.v1
title: MVPLAI data from October 8th to October 10th, 2022

description: MVPLAI data from October 8th to October 10th, 2022
DOI: 10.6084/m9.figshare.23648604.v2
title: MVPLAI data from October 8th to October 10th, 2022

description: MVPLAI data from October 8th to October 10th, 2022
DOI: 10.5281/zenodo.8137588
title: IWIN: The Isfjorden Weather Information Network (August 2021 - June 2023)

description: The Isfjorden Weather Information Network provides standard meteorological near-surface measurements from the Isfjorden region in Svalbard. The network includes weather stations permanently installed on lighthouses around the fjord and onboard small tourist cruise ships trafficking the fjord from the spring to the autumn. A defined (fixed-end) data set covering the period August 2021 - June 2023 is available here, while new observations become available in near real-time via the data portals of MET Norway (https://doi.org/10.21343/ebrw-w846; https://thredds.met.no/thredds/unis-obs/unis-obs.html).
DOI: 10.5281/zenodo.8137587
title: IWIN: The Isfjorden Weather Information Network (August 2021 - June 2023)

description: The Isfjorden Weather Information Network provides standard meteorological near-surface measurements from the Isfjorden region in Svalbard. The network includes weather stations permanently installed on lighthouses around the fjord and onboard small tourist cruise ships trafficking the fjord from the spring to the autumn. A defined (fixed-end) data set covering the period August 2021 - June 2023 is available here, while new observations become available in near real-time via the data portals of MET Norway (https://doi.org/10.21343/ebrw-w846; https://thredds.met.no/thredds/unis-obs/unis-obs.html).
DOI: 10.15151/esrf-es-1118655596
title: The proposal is a continuation of the MX-2367 proposal : CryoEM-BAG France: Structural Biology using Cryo-EM in France

description: This proposal gathers Principal investigators from French Institutions that use cryo-EM to unravel the molecular mechanisms associated with various biological processes. Scientists belong to 8 centres that currently use Cryo-EM and have already used ESRF CM01 beamline. All the PIs in this application have already used CM01 during the past 2 years. Projects include the study of bacterial secretion systems (Bordeaux, Lyon, Paris), viruses and their infection mechanisms (Marseille), translation and its control (Bordeaux, Toulouse, Paris, Strasbourg), transcription (Strasbourg, Paris) and Macromolecular transport (Bordeaux, Lyon, Strasbourg). Note that there is been a change of PI at the Montpelliier center, with G; Labesse replacing P. Bon as a PI.
DOI: 10.5281/zenodo.8137554
title: Spetiotemperal-hydrometeorological-data-in-Taiwan

description: <strong>CEEMD</strong> ceemd.m/ extrema.m <strong>Daily mean temperature</strong> code: data_IMF_tm.m data: tm.mat <strong>Daily maximum temperature</strong> data: tmax.mat <strong>Heatwave</strong> CTX90pct all code: data_IMF_tmax_ctx.m data: heatwave_CTX90pct.mat summer code: data_IMF_tmax_ctx_summer.m data: heatwave_CTX90pct_summer.mat EHF all code: data_IMF_tmax_EHF.m data: heatwave_EHF2.mat summer code: data_IMF_tmax_EHF_summer.m data: heatwave_EHF_summer.mat <strong>Extreme cold events</strong> code: data_IMF_tmin.m data: tmin.mat <strong>Heavy rain events</strong> code: data_IMF_pr.m data: pr.mat <strong>Long-term heatwaves</strong> code: meemd_future.m data: futuredata45.mat/ futuredata85.mat
DOI: 10.5281/zenodo.8137342
title: Spetiotemperal-hydrometeorological-data-in-Taiwan

description: <strong>CEEMD</strong> ceemd.m/ extrema.m <strong>Daily mean temperature</strong> code: data_IMF_tm.m data: tm.mat <strong>Daily maximum temperature</strong> data: tmax.mat <strong>Heatwave</strong> CTX90pct all code: data_IMF_tmax_ctx.m data: heatwave_CTX90pct.mat summer code: data_IMF_tmax_ctx_summer.m data: heatwave_CTX90pct_summer.mat EHF all code: data_IMF_tmax_EHF.m data: heatwave_EHF2.mat summer code: data_IMF_tmax_EHF_summer.m data: heatwave_EHF_summer.mat <strong>Extreme cold events</strong> code: data_IMF_tmin.m data: tmin.mat <strong>Heavy rain events</strong> code: data_IMF_pr.m data: pr.mat <strong>Long-term heatwaves</strong> code: meemd_future.m data: futuredata45.mat/ futuredata85.mat
DOI: 10.18709/perscido.2023.07.ds397
title: The Tour Perret LoRaWAN 2G4 frames dataset

description: The dataset contains the log files of 1193638 frames sent by A LoRa 2.4 GHz endpoint installed on the top of Tour Perret in Grenoble, France. The goal of this dataset is the long-time study of performance and Wifi coexistence of LoRa 2.4 GHz communications in an urban context.
DOI: 10.5281/zenodo.8137930
title: Supplemental material and data for Phys. Rev. Lett. 128, 066801 2022

description: Supplemental material and data for Phys. Rev. Lett. 128, 066801 (2022)
DOI: 10.5281/zenodo.8137929
title: Supplemental material and data for Phys. Rev. Lett. 128, 066801 2022

description: Supplemental material and data for Phys. Rev. Lett. 128, 066801 (2022)
DOI: 10.5281/zenodo.8137832
title: Deliverable 3.3: Report on multi-cells stack system and shunt current distribution modelling

description: Data for reproducing the results presented in Deliverable 3.3 "Report on multi-cells stack system and shunt current distribution modelling" belonging to the CompBat EU project, DOI:10.3030/875565
DOI: 10.5281/zenodo.8137831
title: Deliverable 3.3: Report on multi-cells stack system and shunt current distribution modelling

description: Data for reproducing the results presented in Deliverable 3.3 "Report on multi-cells stack system and shunt current distribution modelling" belonging to the CompBat EU project, DOI:10.3030/875565