cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.h6jfqd
title: Occurrence Download

description: A dataset containing 149 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Citrus hystrix",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 149 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006200-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bs7vm7
title: Occurrence Download

description: A dataset containing 818124 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Limnodromus griseus"
 ]
}

 The dataset includes 818124 records from 208 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006176-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kf4c5a
title: Occurrence Download

description: A dataset containing 77 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Platanthera roseotincta"
 ]
}

 The dataset includes 77 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006202-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w4nvgv
title: Occurrence Download

description: A dataset containing 901 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Clausena excavata",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 901 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006203-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v2xf5t
title: Occurrence Download

description: A dataset containing 68 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Randia hidalgensis"
 ]
}

 The dataset includes 68 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006204-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3zxfb4
title: Occurrence Download

description: A dataset containing 1252552 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Limosa limosa"
 ]
}

 The dataset includes 1252552 records from 953 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006177-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/tvsdykd2nf
title: Crystallographic information files of pure M3(HITP)2 and M3(HHTP)2

description: Data are used in the following manuscripts：
Journal: ACS Catalysis
Manuscript ID: cs-2022-00819d
Title: "Conductive Two-Dimensional Magnesium Metal–Organic Frameworks for High-Efficiency O2 Electroreduction to H2O2"
Author(s): Dong, Kai; liang, jie; Wang, Yuanyuan; Zhang, Longcheng; Xu, Zhaoquan; Luo, Yongsong; Li, Tingshuai; Liu, Qian; Li, Na; Tang, Bo; Alshehri      , Abdulmohsen ; Li, Quan; Ma, Dongwei; Sun, Xuping
DOI: 10.6084/m9.figshare.28790798.v1
title: Structural proteomics defines a sequential priming mechanism for the progesterone receptor

description: Source data files for SEC-MALS, MMS, phosphoproteomic profiling mass spectrometry, and transcriptional response assays.
DOI: 10.6084/m9.figshare.6097616.v1
title: Supplementary Material for: Skin Barrier Restoration and Moisturization Using Horse Oil-Loaded Dissolving Microneedle Patches

description: <b><i>Background:</i></b> Horse oil (HO) has skin barrier restoration and skin-moisturizing effects. Although cream formulations have been used widely and safely, their limited penetration through the stratum corneum is a major obstacle to maximizing the cosmetic efficacy of HO. Therefore, we aimed to encapsulate HO in a cosmetic dissolving microneedle (DMN) for efficient transdermal delivery. <b><i>Methods:</i></b> To overcome these limitations of skin permeation, HO-loaded DMN (HO-DMN) patches were developed and evaluated for their efficacy and safety using in vitro and clinical studies. <b><i>Results:</i></b> Despite the lipophilic nature of HO, the HO-DMN patches had a sharp shape and uniform array, with an average length and tip diameter of 388.36 ± 16.73 and 38.54 ± 5.29 µm, respectively. The mechanical strength of the HO-DMN patches was sufficient (fracture force of 0.29 ± 0.01 N), and they could successfully penetrate pig skin. During the 4-week clinical evaluation, HO-DMN patches caused significant improvements in skin and dermal density, skin elasticity, and moisturization. Additionally, a brief safety assessment showed that the HO-DMN patches induced negligible adverse events. <b><i>Conclusion:</i></b> The HO-DMNs are efficient, safe, and convenient for wide use in cosmetic applications for skin barrier restoration and moisturization.
DOI: 10.17632/5m4fnzw84k
title: Daily surface solar radiation across China estimated from high-density meteorological observations by random forest model framework

description: This dataset contains two data products, site data (Daily Site SSR) and grid point data (Daily Grid SSR). 
Daily Site SSR: Introduces a high-precision estimation model that integrates multi-source data fusion and the spatio-temporal random forest algorithm to provide more accurate and reliable estimated SSR at 2379 stations in China during 1980-2020.
Daily Grid SSR: The station estimated SSR data is interpolated into grid data by thin plate spline interpolation method, and the resolution is reasonable at 0.5° × 0.5°. lat=arange(18,54,0.5), lon = arange(72,136,0.5).

Correspondence to: Zhaoliang Zeng (zhaoliang.zeng@whu.edu.cn)
Institutions: Chinese Academy of Meteorological Sciences
DOI: 10.17632/g2n474d3pt
title: Mental health burden in adolescents living with HIV

description: The dataset contain data collected on the mental health burden among adolescents living HIV in Ghana.
DOI: 10.17632/s4nn76fk33
title: LINF_160005500

description: ATP-dependent DEAD/H RNA helicase | DDX17; Leishmania infantum (strain JPCM5)
DOI: 10.6084/m9.figshare.12993470.v1
title: CONSERVATION THREATS FROM ROADKILL IN THE GLOBAL ROAD NETWORK

description: <b>Repository data from the publication:</b>Grilo C, Borda-de-Água L, Beja P, Goolsby E, Soanes K, le Roux A, Koroleva E, Ferreira FZ, Gagné SA, Wang Y, González-Suaréz M (online). Conservation threats from roadkill in the global road network. Global Ecology and Biogeography.<b><br></b><br><b>Supporting Information Appendix S1</b><br>Roadkill data.csv<b><br></b><b>Supporting Information Appendix S9</b><br>Imputation LOOCVdata.csvImputation LOOCVresults.csv<br>Validation LOOCVresults.csv<br>Validation LOOCVresultsgraphs.odf<br><b><br></b><b>Figure 3.rar</b><br> SHAPEFILES <b>LandoutlineCEA2</b> – Outline of the world map <b>GridCEALand</b> - shapefile with one polygon for each of the terrestrial grids used in the analyses. The unique identified for each cell grid (to match with other files) is PageNumber <b>GridMammalsCEA</b> - shapefile with data for each of the terrestrial mammals overlapping each terrestrial grid described in GridCEALand. This file was used to calculate grid statistics presented below. CSV FILES <b>RoadlengthGrid.csv </b>– sum of all paved roads in each cell grid. The unique identified for each cell grid (to match with other files) is PageNumber. <b>GridStats.csv</b> - summary statistics for each grid cell described in GridCEALand shapefile. Metadata – description of all steps to prepare Figure 3<br>
DOI: 10.17632/jt7w946j32
title: Dataset of "Effect of intermolecular interactions on the glass transition temperature of chemically modified alternating  polyketones"

description: This dataset contains theoretical data on the study of glass transition phase of five polyketone-based polymers. The dataset includes the following:
1) Theoretical studies.
1.1. Optimized geometries: The molecular structures of the molecular interactions were presented in cartesian coordinates and pdb formats.
1.2. Independent Gradient Model (IGM) Surfaces: Cube file format of the calculated intermolecular and intramolecular interactions.
1.3. Energy Decomposition Analysis using Absolutely localized Molecular Orbitals: The stabilizing and destabilizing energy contributions for each polyketones are displayed in datasheets.
2) Experimental Studies.
2.1. Elemental analysis.
2.2. FTIR in solution modified polyketones.
2.3. FTIR different temperatures.
2.4. NMR PK50 and modified polyketones.
2.5. XPS modified polyketones.
2.6. Differential scanning calorimetry.
These results rationalize the Temperature of Glass transition phase of polyketone-based polymers PK50: PK50BEA, PK50HAMC, PK50HEXYL, and PK50IM. The glass transition temperatures were  obtained from thermogravimetric analysis. The interactions between polymer chains were characterized by FTIR and XPS spectroscopy, and the obtained data were analyzed and discussed using DFT methods to model how functional groups interact in the polymer.
Acknowledgements
This work received financial support from the “Programa Formacion de Capital Humano Avanzado Conicyt Becas Chile” Grant N°2117475, ANID/FONDECYT project N° 1210355, “Proyecto FONDECYT de Iniciación en Investigación” Grant No 11201111, and ANID/FONDEQUIP EQM180180. Financial support also came from the Advanced Materials research program of the Zernike National Research Centre under the Bonus Incentive Scheme (BIS) of the Dutch Ministry for Education, Culture and Science. ANID/FONDECYT project N°3200270.
DOI: 10.26180/5c0c8bf85eb24
title: TEPs-PEPs

description: Data files required to run the analysis of TMS-evoked potentials:<br>Mana Biabani, Alex Fornito, Tuomas P. Mutanen, James Morrow, Nigel C. Rogasch. Characterizing and minimizing the contribution of sensory inputs to TMS-evoked potentials.<br>Matlab code for processing these data files and reproducing our analyses is in the Github repository (link below).<br><br>The provided data is the outputs of the pre-processing stage. If you require the raw data, please contact Mana Biabani or Nigel Rogasch.
DOI: 10.6084/m9.figshare.11394774.v1
title: GRF_F_AP_RAW_left

description: This file is structured as a matrix with N rows x M columns. Each row holds the data of one subject and trial. The first column identifies each subject "SUBJECT_ID", the second column each recording session "SESSION_ID", and the third column each single trial within a recording session "TRIAL_ID". Note that due to the non-normalized nature of the data and the resulting different vector lengths, non-available numbers have been replaced by "NaN" to maintain a constant matrix-dimension.
DOI: 10.6084/m9.figshare.24784266.v3
title: S5_Table:Plant weights complete dataset-Raw-plantweights

description: Plant weights. The method of drying prevented individual plant weights as the individual plants had fused to one mass due to the size of the drying rack. The average weight for each plant was calculated and put in as the end dry weight.
DOI: 10.6084/m9.figshare.24784440.v3
title: S4_Table:Baseline establishment complete dataset-phase4-Baseline

description: Using models for predicting mL created from the S3-P4-ModelBuilding dataset, the predicted mL was recorded every 10 seconds for both sensors for 24 hours.
DOI: 10.6084/m9.figshare.28601039.v1
title: Supplementary Material 7

description: ResFinder, CARD (Comprehensive Antibiotic Resistance Database), and MegARes are essential databases for analyzing antibiotic resistance genes in <i>Escherichia coli</i>, helping researchers identify resistance mechanisms and assess the threat of multidrug-resistant strains.<b>ResFinder</b> is a web-based tool that detects acquired antibiotic resistance genes in bacterial genomes by comparing sequences against a curated database. It is widely used for identifying resistance genes in <i>E. coli</i>, providing insights into the presence of β-lactamases, aminoglycoside-modifying enzymes, and other resistance determinants.<b>CARD (Comprehensive Antibiotic Resistance Database)</b> is a high-quality, manually curated database that categorizes resistance genes, mutations, and mechanisms based on molecular models. It utilizes the Resistance Gene Identifier (RGI) tool to detect resistance genes and SNPs linked to resistance, making it valuable for studying both acquired and intrinsic resistance mechanisms in <i>E. coli</i>.<b>MegARes</b> is a specialized database for metagenomic analysis of antimicrobial resistance (AMR). It provides structured annotations of resistance genes and their associated antimicrobial classes, allowing researchers to study AMR profiles in complex microbial communities, including clinical and environmental <i>E. coli</i> isolates.By leveraging these databases, researchers can comprehensively assess antibiotic resistance in <i>E. coli</i>, track the emergence of resistant strains, and develop strategies for combating antimicrobial resistance in clinical and public health settings.
DOI: 10.6084/m9.figshare.7755152.v3
title: Transcriptome profiling of interaction effects of soybean cyst nematodes and soybean aphids on soybean

description: Supplementary files from this study including codes used for RNA-seq data processing, the transformed transcript abundance count for all the samples, the hierarchical clustering of top 6,000 variable genes, the correlation between the samples using the top 75% genes, and the four clusters for 6,000 variable genes.
DOI: 10.6084/m9.figshare.9729548.v1
title: S100A8/A9 in VLST

description: Very late stent thrombosis (VLST) remains an uncommon, but serious complication following percutaneous coronary intervention (PCI). We aimed to reveal the S100A8/A9 role in the development of VLST after PCI for acute myocardial infarction (AMI).
DOI: 10.15468/dl.cthdk9
title: Occurrence Download

description: A dataset containing 192 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Oxytropis kansuensis Bunge",
 "Year is less than or equal to 2000",
 "Year is greater than or equal to 1970",
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 1000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 192 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012975-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.22691083.v2
title: Untitled Item

description: The MIDOG++ dataset represents an extension of the data set used in the MIDOG 2021 and 2022 challenges. We provide region of interest images from 503 histological specimens of seven different tumor types with variable morphology: breast carcinoma, lung carcinoma, lymphosarcoma, neuroendocrine tumor, cutaneous mast cell tumor, cutaneous melanoma, and (sub)cutaneous soft tissue sarcoma. The human and canine samples were processed and stained at different human and veterinary pathology laboratories with standard H&E dye and digitized with different digital whole slide image scanners. We provide labels for 11,937 mitotic figures that have been differentiated against 14,351 imposter cells in a blinded consensus by two pathologists and a final decision by a third pathologist for disagreed labels.
DOI: 10.15468/dl.h58juv
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Platytroctes Günther, 1878",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((44.9449 -26.0614,44.9648 -26.0621,44.9648 -25.1504,43.6164 -25.1504,43.93 -25.627,44.5871 -25.7989,44.9449 -26.0614))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012976-250525065834625/datasets/export for details.
DOI: 10.17632/9nmymvzzp3
title: Vico etal_2024_musical stimuli OK

description: Musical stimuli used in Exps 1, 2a and 2b
DOI: 10.17632/hfk9syw9v5
title: Data for: Explicit neural network model for FRP-to-concrete interfacial bond strength based on a large database

description: Data for: Explicit neural network model for FRP-to-concrete interfacial bond strength based on a large database
DOI: 10.17632/k82pbngt8t
title: QTNano/SabiM - Tuning Excitonic Properties of Monochalcogenides via Design of Janus Structures, The Journal of Physical Chemistry C, 128, 29, 12164 (2024)

description: Raw data of the published paper - https://doi.org/10.1021/acs.jpcc.4c01813
DOI: 10.17632/sx6kn3dx8p
title: Determining patient understanding of commonly used dermatology terms: A multicenter cross-sectional survey

description: Physician scoring rubric
DOI: 10.6084/m9.figshare.14396039.v1
title: Return data on ESG indices

description: Return and volatility numbers of different ESG indices and their corresponding parent index.
DOI: 10.6084/m9.figshare.19470599.v3
title: MPF.2021.2.8

description: [Reverting back to v1, please make sure to use an earlier pymatgen version.] <br> This dataset contains the MPF.2021.2.8 data used to train the m3gnet model reported in `https://arxiv.org/abs/2202.02450` <br> I have split the dataset into two pickle files. To load the data, you can use example code as below. <br> ``` import pickle with open('block_0.p', 'rb') as f: data = pickle.load(f) <br> with open('block_1.p', 'rb') as f: data.update(pickle.load(f)) ``` <br> where `data` will be a dictionary with `material_id` as the key and an inner dictionary as the value. <br> The inner dictionary contains the snapshots of this `material_id`, with the following keys. ``` - structure - energy - force - stress - id ``` The `structure` is a list of pymatgen structures. <br> Each id in the `id` list is of format `material_id-calc_id-ionic_step_id`, where `calc_id` is 0 (second) or 1 (first) in the double relaxation process. <br> The `stress` here is the raw output from VASP, meaning that it is really the negative stress using the convention in our paper. Hence to train the model, please multiply stress with -0.1 (kBa to GPa and change sign) <br> The units for energy, force and stress in the data are eV, eV/A, and kBa. Remember to convert the stress to GPa and take the negative sign to work with m3gnet training.
DOI: 10.17632/d3msjvj2xy
title: The co-eruptive elevation change map and post-eruptive elevation change rate map associated with the 2008 eruption of Okmok

description: Here are the results in a paper entitled "Characterization of the 2008 phreatomagmatic eruption of Okmok from ArcticDEM and InSAR: deposition, erosion, and deformation" submitted to JGR Solid Earth in 2020. The main revision compared to version 1: This revision does not use one DEM (acquired on 15 May 2016) that was partly contaminated by clouds in the north flank of Ahmanilix. This revision mostly improves the result of the elevation change rate (rate.tif), but it also slightly changes the elevation change data and its corresponding uncertainties. It includes the 2-m resolution surface elevation change of the 2008 Okmok eruption (Fig. 3a in the paper) and the 2-m resolution post-eruptive elevation change rate map (Fig. 4), as well as the corresponding uncertainties (Fig. S3). It also includes the boundary of the proximal deposit field classified using a minimum elevation increase of 2 m, the boundary of large slope failure, and the shorelines of two lakes (Fig. 3a and S5) at different acquisition times. The GeoTIFF files can be viewed in free and open-source software QGIS, in Google Earth, or by Matlab using code https://github.com/ihowat/setsm_postprocessing/blob/master/readGeotiff.m. The shapefiles can be viewed in QGIS. Google Earth may not show some of the shapefiles well.
DOI: 10.17632/w4tfxxsz2t
title: Data for "Renewable Energy Consumption and Sustainable Development"

description: Data for Renewable Energy Consumption and Sustainable Development
DOI: 10.17632/xd3jdbxrzv
title: Multi-instance Subprocess Datasets

description: Multi-instance Subprocess Datasets
DOI: 10.17632/hz5vbsvy7d
title: Galactic distribution of supernovae and OB associations

description: We update and extend a previous model by Higdon and Lingenfelter for the longitudinal profile of the N II intensity in the Galactic plane. The model is based on four logarithmic spiral arms, to which features like the Local Arm and local sources are added. Connecting then the N II to the H II emission, we use this model to determine the average spatial distribution of OB associations in the Milky Way. Combined with a stellar mass and cluster distribution function, the model predicts the average spatial and temporal distribution of core-collapse supernovae in the Milky Way. In addition to this average population, we account for supernovae from observed OB associations, providing thereby a more accurate description of the nearby Galaxy. The complete model is made publicly available in the python code SNOB.
DOI: 10.17632/k3yg6dc884
title: Dynamics of Digitalization in Asian

description: The data set scrutinizes various factors to uncover the impact of digitalization on economic progress in diverse contexts in Asia. This time-series data uncovers underlying patterns and disparities that play a crucial role in the intricate relationship between digitalization and economic development.
DOI: 10.6084/m9.figshare.12608060.v1
title: Supplementary Material for: Obesity, but Not Metabolic Diseases, Is Associated with Risk of Psoriasis: A Population-Based Cohort Study in Taiwan

description: <b><i>Background:</i></b> Obesity and metabolic diseases including diabetes, hyperlipidemia, and hypertension are reportedly associated with an increased risk of psoriasis. However, few prospective studies have investigated the association of obesity and metabolic diseases with the risk of psoriasis. <b><i>Objective:</i></b> To examine whether obesity or metabolic diseases increase the risk of psoriasis. <b><i>Methods:</i></b> Participants were collected from 4 rounds (2001, 2005, 2009, and 2013) of the Taiwan National Health Interview Survey. Incident cases of psoriasis were identified from the National Health Insurance database. Participants were followed from the time of the National Health Interview Survey interview until December 31, 2017, or until a diagnosis of psoriasis was made or the participant died. The Cox regression model was used for the analyses. <b><i>Results:</i></b> Of 60,136 participants, 406 developed psoriasis during 649,506 person-years of follow-up. Compared to participants with a BMI of 18.5–22.9, the adjusted hazard ratios (aHR) of psoriasis were 1.34 (95% CI 1.05–1.71) for a BMI of 25.0–29.9 and 2.70 (95% CI 1.95–3.72) for a BMI ≥30. Neither individual nor multiple metabolic diseases were associated with incident psoriasis. Participants with a BMI ≥30 were at significantly higher risk of both psoriasis without arthritis (aHR 2.60; 95% CI 1.85–3.67) and psoriatic arthritis (aHR 3.96; 95% CI 1.45–10.82). <b><i>Conclusion:</i></b> Obesity, but not metabolic diseases, significantly increased the risk of psoriasis.
DOI: 10.6084/m9.figshare.7322042.v1
title: Gough et al. data_Figs_2_&_3

description: Canopy trait, tree species diversity, and aboveground wood net primary production data for 10 National Ecological Observatory Network temperate forest sites.