cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.30272386
title: <b>Deciphering Li₂S-like SEI Formation Mechanism at Li/Argyrodite Anodic Interfaces via Large-Scale Machine-Learned Reactive Dynamics</b>

description: <b>Files are composed of </b><b>the following</b><b> directories.</b>StructureValidation<b>Structure</b>This directory contains the structural data used for molecular dynamics simulations and the construction of training sets.<b>MD_structure/</b><b>initial_structure/</b>: CIF files of the starting models used as the initial configurations for MD simulations.<b>MD_structure/</b>: Representative CIF snapshots obtained from MD trajectories at selected time steps. These structures illustrate the evolution of the Li|argyrodite interface during the simulations.<br><b>Trainingset/</b><br>This folder contains the <b>initial structures that were used before running ab initio molecular dynamics (AIMD)</b> to build the MTP training set. These structures serve as the starting point for generating AIMD data.<br><b>bulk/</b>: Pristine bulk phases (Li, Li₆PS₅Cl).<b>slab/</b>: Surface slab models constructed from bulk structures.<b>interface/</b>: Li/argyrodite interface models that were used as the initial configurations for the active learning procedure.<br><br>In other words, the CIF files here are not trajectories or relaxed structures but the reference initial configurations from which AIMD simulations and MTP training data were generated.<b>Validation</b>This directory contains validation data for the trained machine-learning interatomic potentials (MTP).<b>Bulk&slab/</b>: <br>Contains validation <b>cfg files</b> for Li metal and Li₆PS₅Cl (argyrodite) bulk and slab systems.<br><b>Li.cfg, Arg.cfg</b>: Reference cfg files from <b>DFT calculations</b>, including atomic positions, energies, and forces.<b>Li_mtp_cfg, Arg_mtp.cfg</b>: Corresponding cfg files generated using the <b>trained MTP potential</b>, directly comparable to the DFT reference data.<br><b>Interface/</b>: Contains validation <b>cfg files</b> for Li | Li₆PS₅Cl interface models.<b>mtp/</b>: Contains cfg files generated by running the trained MTP on snapshot structures extracted from MD trajectories. Each cfg file includes atomic positions, energies, and forces, with a CSV file summarizing the predicted energies.<b>snapshot_cifs/</b>: Contains 50 CIF files sampled every 20 ps from a 1 ns MD trajectory of the Li | Li₆PS₅Cl interface. DFT single-point calculations were performed for these snapshots, and the resulting energies are provided in a CSV file.<b>pot.mtp</b>The <b>trained MTP potential file</b> required to run MLIP-based MD simulations.This file was used in all validation tasks as well as in the production MD runs described in the manuscript.<br><br><b>CIF files</b> can be directly used as input for VASP or LAMMPS simulations.<b>MTP files</b> and <b>cfg datasets</b> allow re-training or reproduction of the MLIP calculations.This dataset provides the key inputs and reference results necessary to reproduce the structural models, MD simulations, and validation tests described in the manuscript.
DOI: 10.6084/m9.figshare.30272386.v1
title: <b>Deciphering Li₂S-like SEI Formation Mechanism at Li/Argyrodite Anodic Interfaces via Large-Scale Machine-Learned Reactive Dynamics</b>

description: <b>Files are composed of </b><b>the following</b><b> directories.</b>StructureValidation<b>Structure</b>This directory contains the structural data used for molecular dynamics simulations and the construction of training sets.<b>MD_structure/</b><b>initial_structure/</b>: CIF files of the starting models used as the initial configurations for MD simulations.<b>MD_structure/</b>: Representative CIF snapshots obtained from MD trajectories at selected time steps. These structures illustrate the evolution of the Li|argyrodite interface during the simulations.<br><b>Trainingset/</b><br>This folder contains the <b>initial structures that were used before running ab initio molecular dynamics (AIMD)</b> to build the MTP training set. These structures serve as the starting point for generating AIMD data.<br><b>bulk/</b>: Pristine bulk phases (Li, Li₆PS₅Cl).<b>slab/</b>: Surface slab models constructed from bulk structures.<b>interface/</b>: Li/argyrodite interface models that were used as the initial configurations for the active learning procedure.<br><br>In other words, the CIF files here are not trajectories or relaxed structures but the reference initial configurations from which AIMD simulations and MTP training data were generated.<b>Validation</b>This directory contains validation data for the trained machine-learning interatomic potentials (MTP).<b>Bulk&slab/</b>: <br>Contains validation <b>cfg files</b> for Li metal and Li₆PS₅Cl (argyrodite) bulk and slab systems.<br><b>Li.cfg, Arg.cfg</b>: Reference cfg files from <b>DFT calculations</b>, including atomic positions, energies, and forces.<b>Li_mtp_cfg, Arg_mtp.cfg</b>: Corresponding cfg files generated using the <b>trained MTP potential</b>, directly comparable to the DFT reference data.<br><b>Interface/</b>: Contains validation <b>cfg files</b> for Li | Li₆PS₅Cl interface models.<b>mtp/</b>: Contains cfg files generated by running the trained MTP on snapshot structures extracted from MD trajectories. Each cfg file includes atomic positions, energies, and forces, with a CSV file summarizing the predicted energies.<b>snapshot_cifs/</b>: Contains 50 CIF files sampled every 20 ps from a 1 ns MD trajectory of the Li | Li₆PS₅Cl interface. DFT single-point calculations were performed for these snapshots, and the resulting energies are provided in a CSV file.<b>pot.mtp</b>The <b>trained MTP potential file</b> required to run MLIP-based MD simulations.This file was used in all validation tasks as well as in the production MD runs described in the manuscript.<br><br><b>CIF files</b> can be directly used as input for VASP or LAMMPS simulations.<b>MTP files</b> and <b>cfg datasets</b> allow re-training or reproduction of the MLIP calculations.This dataset provides the key inputs and reference results necessary to reproduce the structural models, MD simulations, and validation tests described in the manuscript.
DOI: 10.15468/dl.w3axrz
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sisymbrium polyceratium",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 6 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043362-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9ssyg7
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sisymbrium polyceratium",
 "Country is Denmark",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043360-250920141307145/datasets/export for details.
DOI: 10.15468/dl.s52xnp
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sisymbrium polyceratium",
 "Country is Portugal",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043361-250920141307145/datasets/export for details.
DOI: 10.15468/dl.45bbyz
title: Occurrence Download

description: A dataset containing 811 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((35.54192 45.12806,35.71232 45.10791,35.836 45.00988,35.96151 45.01904,36.05129 45.05661,36.16489 45.03737,36.23818 45.04103,36.31239 45.0621,36.44523 45.09325,36.40675 45.15646,36.40492 45.25449,36.48279 45.31679,36.46996 45.36351,36.58265 45.3516,36.63853 45.3855,36.5744 45.42672,36.49653 45.43405,36.42691 45.44596,36.33254 45.4707,36.20062 45.46429,36.08427 45.44321,36.06228 45.38825,35.98533 45.36168,35.89005 45.39741,35.84882 45.45329,35.81218 45.42306,35.76087 45.39374,35.75355 45.35252,35.70682 45.3232,35.59689 45.30396,35.52634 45.27831,35.48562 45.28443,35.43256 45.25826,35.36355 45.25695,35.34781 45.28169,35.29082 45.29669,35.21021 45.31624,35.06011 45.35665,34.98506 45.42593,35.1063 45.48943,35.00238 45.65685,34.87538 45.70303,34.75414 45.72612,34.62714 45.8589,34.32694 46.03209,33.8882 46.10137,33.47832 45.84158,33.05689 45.72035,32.71628 45.54716,32.48536 45.41438,32.55464 45.32201,32.77401 45.33933,33.11462 45.26428,33.25317 45.16037,33.47254 45.1546,33.60532 44.93522,33.5245 44.72162,33.36286 44.54843,33.69192 44.37525,34.0152 44.38102,34.28653 44.50802,34.45972 44.73894,34.8061 44.81399,35.0832 44.80245,35.11207 44.88327,35.37187 45.00452,35.3869 45.05957,35.54192 45.12806))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Cetacea"
 ]
}

 The dataset includes 811 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043359-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17028/rd.lboro.30273001
title: Supplementary information files for "Multifunctional natural fibre composites with integrated process monitoring, damage sensing and energy-efficient heating capabilities via upcycled carbon fibre waste"

description: Supplementary files for article "Multifunctional natural fibre composites with integrated process monitoring, damage sensing and energy-efficient heating capabilities via upcycled carbon fibre waste"<br><br>Natural fibre composites are increasingly recognised as sustainable alternatives to synthetic counterparts in a variety of structural and semi-structural applications, driven by their eco-friendly characteristics and potential to reduce environmental impacts. However, the absence of affordable and practical inspection techniques for monitoring and assessing the lifespan of natural fibre composites is a key barrier to their broader adoption. This paper presents a new approach to use recycled carbon fibre (rCF) veil as a multifunctional layer for manufacturing monitoring, out-of-oven (OoO) curing and damage detection in natural fibre composites. Manufacturing monitoring and damage detection functions are achieved through electrical impedance tomography (EIT) technology with the advantages of real-time imaging and low-cost devices. The rCF veil enables real-time detection of the resin flow front during the infusion stage and subsequently facilitates locating the damage of the composites during the mechanical tests. In addition, it functions as a Joule-heating medium for energy-efficient OoO curing, which reduces energy consumption by more than 95 % compared to conventional oven curing without compromising mechanical properties. The introduction of rCF veil not only provides insights into natural fibre composites from the manufacturing to the in-service stage, but also demonstrates upcycling routes for rCF as a multifunctional layer in future sustainable composites.<br><br>© The Author(s), CC BY 4.0
DOI: 10.17028/rd.lboro.30273001.v1
title: Supplementary information files for "Multifunctional natural fibre composites with integrated process monitoring, damage sensing and energy-efficient heating capabilities via upcycled carbon fibre waste"

description: Supplementary files for article "Multifunctional natural fibre composites with integrated process monitoring, damage sensing and energy-efficient heating capabilities via upcycled carbon fibre waste"<br><br>Natural fibre composites are increasingly recognised as sustainable alternatives to synthetic counterparts in a variety of structural and semi-structural applications, driven by their eco-friendly characteristics and potential to reduce environmental impacts. However, the absence of affordable and practical inspection techniques for monitoring and assessing the lifespan of natural fibre composites is a key barrier to their broader adoption. This paper presents a new approach to use recycled carbon fibre (rCF) veil as a multifunctional layer for manufacturing monitoring, out-of-oven (OoO) curing and damage detection in natural fibre composites. Manufacturing monitoring and damage detection functions are achieved through electrical impedance tomography (EIT) technology with the advantages of real-time imaging and low-cost devices. The rCF veil enables real-time detection of the resin flow front during the infusion stage and subsequently facilitates locating the damage of the composites during the mechanical tests. In addition, it functions as a Joule-heating medium for energy-efficient OoO curing, which reduces energy consumption by more than 95 % compared to conventional oven curing without compromising mechanical properties. The introduction of rCF veil not only provides insights into natural fibre composites from the manufacturing to the in-service stage, but also demonstrates upcycling routes for rCF as a multifunctional layer in future sustainable composites.<br><br>© The Author(s), CC BY 4.0
DOI: 10.25398/rd.northumbria.30272140
title: Resident Perceptions of Flood Risk, Civic Responsibility, and Community Action: Pre-Intervention Survey Dataset

description: This dataset contains responses from an exploratory survey conducted with residents of a flood-prone neighbourhood in South Stanley, County Durham, prior to the implementation of sustainable flood mitigation interventions (bund construction and meadow planting). The survey aimed to capture residents’ perceptions of environmental risk, civic responsibility, and the role of community action in flood preparedness and response.The survey comprised 18 items, combining closed- and open-ended questions, and collected data on demographics, proximity to the intervention site, awareness of flood risk and NbS/SuDS infrastructure, experiences of flooding, attitudes toward environmental care, connection to local green space, and willingness to volunteer. Recruitment was undertaken through postal leaflets distributed to 150 households near the intervention site, as well as outreach via the Wear Rivers Trusts' local Facebook group. A total of 140 valid responses were retained after data cleaning.This dataset provides flood insights into community awareness, responsibilities, and attitudes towards nature-based solutions and civic participation in the context of flood resilience. It offers a valuable resource for researchers, practitioners, and policymakers interested in environmental risk perception, citizen engagement, and sustainable urban interventions.
DOI: 10.25398/rd.northumbria.30272140.v1
title: Resident Perceptions of Flood Risk, Civic Responsibility, and Community Action: Pre-Intervention Survey Dataset

description: This dataset contains responses from an exploratory survey conducted with residents of a flood-prone neighbourhood in South Stanley, County Durham, prior to the implementation of sustainable flood mitigation interventions (bund construction and meadow planting). The survey aimed to capture residents’ perceptions of environmental risk, civic responsibility, and the role of community action in flood preparedness and response.The survey comprised 18 items, combining closed- and open-ended questions, and collected data on demographics, proximity to the intervention site, awareness of flood risk and NbS/SuDS infrastructure, experiences of flooding, attitudes toward environmental care, connection to local green space, and willingness to volunteer. Recruitment was undertaken through postal leaflets distributed to 150 households near the intervention site, as well as outreach via the Wear Rivers Trusts' local Facebook group. A total of 140 valid responses were retained after data cleaning.This dataset provides flood insights into community awareness, responsibilities, and attitudes towards nature-based solutions and civic participation in the context of flood resilience. It offers a valuable resource for researchers, practitioners, and policymakers interested in environmental risk perception, citizen engagement, and sustainable urban interventions.
DOI: 10.15468/dl.tsurju
title: Occurrence Download

description: A dataset containing 527187 species occurrences available in GBIF matching the query:
{
 "and" : [
 "MediaType is Image",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Apidae, Megachilidae, Andrenidae, Halictidae, Colletidae, Stenotritidae, Melittidae)",
 "Year 2025-2025"
 ]
}

 The dataset includes 527187 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043340-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ts9uqw
title: Occurrence Download

description: A dataset containing 139 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Platypodiella spectabilis"
 ]
}

 The dataset includes 139 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043363-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26023/18pp-3rha-ks0p
title: T-PARC: JTWC Tropical Cyclone Track Forecast Imagery. Version 1.0

description: This dataset contains Joint Typhoon Warning Center (JTWC) tropical cyclone forecast track imagery. There are 6 hourly files for each identified tropical feature that occurred in the T-PARC region and time period. The files are named by feature identifiers (e.g. 09_track is 09W)
DOI: 10.15468/dl.pg7gku
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Thlaspi caerulescens",
 "Country is Denmark",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043364-250920141307145/datasets/export for details.
DOI: 10.5284/1133124
title: Digital Archive from Archaeological Monitoring and Recording at 129 High Street, Brentwood, Essex, July - August 2024

description: This collection consists of images, reports, vector graphics and site record data from Archaeological monitoring by Colchester Archaeological Trust. Work occurred at 129 High Street, Brentwood, Essex, from July to August 2024. Groundworks for extensions to the current building revealed the remains of a brick foundation to the rear of the property. The only other feature present was a small tree-throw.
DOI: 10.34810/data228
title: Differential tree growth explained by SNP loci and climate in a circum-Mediterranean pine

description: Understanding the genetic basis of adaptation and plasticity in trees constitutes a knowledge gap. In this study we analysed 20-year tree-ring series of 130 trees, structured in 23 populations grown in a common garden experiment. We tested for genotype by environment interactions (G×E) of indexed ring width (RWI) and indexed early to latewood ratios (ELI) using factorial regression analyses, that describes G×E as differential gene sensitivity to climate. The data include raw tree-ring series, indexed ring-width and early to latewood ratio series, 20 SNPs, climate variables at site, populations sensitivity to particular climate factors, and climate at origin of populations.
description: WinDENDRO, 2014a
description: RStudio, 4.1.2
description: COFECHA, null
DOI: 10.26023/r1jv-m9zw-vm0v
title: T-PARC: DMSP and Aqua Total Precipitable Water Composite Imagery. Version 1.0

description: This data set contains composite DMSP SSM/I and Aqua AMSR-E Total Precipitable Water (TPW) and TPW anomaly imagery. The product was developed by NRL for the T-PARC region and time period.
DOI: 10.5281/zenodo.17257911
title: Life Cycle Assessment Dataset For Urine and Blood Analysis in Madrid

description: Urine and Blood test LCA performed on participants of Preve Renal program at Madrid.

A semiquantitative analysis involves a set of machine workflows, including the Roche Cobas p512, the Sysmex UC-3500, and the Sysmex UF-5000, which automatically organize the samples and analyse the density, pH, albumin, creatinine, glucose, ketone bodies, bilirubin, blood, nitrites, urobilinogen, leukocytes and sediment. A quantitative analysis, performed on albuminuria positive participants (15.7% of the initial participants), automatically reorganise the samples and quantifies albuminuria and creatinine. The machines involved in this step are Roche cobas p612 and Roche cobas c702. Finally, a complete blood analysis is performed on those with albuminuria higher than 300mg/g (1.95% from the initial population), the machines involved are Sysmex XN-10, Sysmex-TS10, Roche cobas p612, Roche cobas c702 and Roche cobas e801.
DOI: 10.5281/zenodo.17257912
title: Life Cycle Assessment Dataset For Urine and Blood Analysis in Madrid

description: Urine and Blood test LCA performed on participants of Preve Renal program at Madrid.

A semiquantitative analysis involves a set of machine workflows, including the Roche Cobas p512, the Sysmex UC-3500, and the Sysmex UF-5000, which automatically organize the samples and analyse the density, pH, albumin, creatinine, glucose, ketone bodies, bilirubin, blood, nitrites, urobilinogen, leukocytes and sediment. A quantitative analysis, performed on albuminuria positive participants (15.7% of the initial participants), automatically reorganise the samples and quantifies albuminuria and creatinine. The machines involved in this step are Roche cobas p612 and Roche cobas c702. Finally, a complete blood analysis is performed on those with albuminuria higher than 300mg/g (1.95% from the initial population), the machines involved are Sysmex XN-10, Sysmex-TS10, Roche cobas p612, Roche cobas c702 and Roche cobas e801.
DOI: 10.5281/zenodo.14807257
title: Frilingou_et_al_2025_CoC_dataset

description: This dataset contains the underlying input data, modelling results, and figures for the journal article on cost of capital by Frilingou et al., 2025. Version 3 features an update of the file Data S2 - Subsidies_allocation in the Input data folder from csv to xlsx format, to document the calculation of subsidy allocation more comprehensively. It also adds Figure S3 in the Figures folder.
DOI: 10.5281/zenodo.15480070
title: Frilingou_et_al_2025_CoC_dataset

description: This dataset contains the underlying input data, modelling results, and figures for the journal article on cost of capital by Frilingou et al., 2025. Version 3 features an update of the file Data S2 - Subsidies_allocation in the Input data folder from csv to xlsx format, to document the calculation of subsidy allocation more comprehensively. It also adds Figure S3 in the Figures folder.
DOI: 10.15468/dl.rdcwcs
title: Occurrence Download

description: A dataset containing 441 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Arenaria balearica",
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 441 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043366-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uexubp
title: Occurrence Download

description: A dataset listing the 503 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "DatasetKey is EOD – eBird Observation Dataset",
 "Geometry POLYGON((-85.13705 38.13792,-79.96538 38.13792,-79.96538 42.43411,-85.13705 42.43411,-85.13705 38.13792))",
 "HasGeospatialIssue is false"
 ]
}

 The dataset's 503 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043355-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.