cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.4121/20101901.v1
title: SeismicDataNeNet

description: In this DATASET we replicate seismological broadband data from <em>IRIS Web Services</em> (<sub>https://service.iris.edu/</sub>) <em>including the IU network. </em> This is the data used for training and testing of the neural network for the paper "Temporal earthquake forecasting". <br> We provide both originally downloaded data and the version that has been processed (normlaised, standardised) and classified before being used as input for the network. <br> Original input files are mseed (miniseed)are named TESTxx.mseed (xx is number): <br> -All files contain information on time interval, the recording station and data parameters in the mseed hearder. -Events used for training are TESTxx.mseed where xx=(7, 8, 3, 4, 5, 6, 9, 10, 11, 16, 17, 20, 21, 22, 24, 25, 27, 28, 31, 33, 34, 35, 37, 38) -Events used for testing are TESTyy.msedd where yy=(12, 13, 14, 15, 29, 30, 39) <br> The standardized, normalized and classified data are in files normpre.p and normnoise.p, containing widows classified as precursor and noise, respectively, for the network training. These files are in format pickle, and are used as input for the network -File normnoise.p contains the formatted data from all windows classified as noise in all events (first 1000 s of 10 hours file). -File normpre.p contains the formatted data from all windows classified as precursor in all events (last 1000 s of 10 hours file).
DOI: 10.6084/m9.figshare.17206940.v1
title: images of pressure ulcer (2)

description: 1.image of pressure ulcers 2.boundary based labeling by labelme3.all tissues inside wounds, re-ep and ulcerations
DOI: 10.6084/m9.figshare.21981737.v1
title: Supplementary Material for: Short-term safety and efficacy of intravitreal brolucizumab injections for neovascular age-related macular degeneration: a multicenter retrospective real-world study

description: Introduction: To determine the short-term real-world safety and efficacy of intravitreal brolucizumab injections in Korean patients with neovascular age-related macular degeneration (nAMD). Methods: This multicenter retrospective study involved 294 eyes (treatment naïve 20 eye (6.8%) and non-treatment naïve 274 eyes (93.2%)) of 290 patients from 13 hospitals or retinal centers in South Korea. Patients with nAMD who received brolucizumab injection(s) between April 1 and November 30, 2021, with a follow-up ≥1 month, were included. Primary outcomes were safety, incidence of intraocular inflammation (IOI), and potential risk factors. The secondary outcome was efficacy, i.e., change in best-corrected visual acuity (BCVA) and optical coherence tomography-measured macular thickness and retinal fluid. Results: The mean age was 71.63±8.66. The follow-up period was 2.38±0.79 months. The mean number of brolucizumab injections during the follow-up was 1.52±0.58. The overall incidence of IOI was 13.9% (n=41 eyes). Most IOI cases were of anterior uveitis (8.8%, 26 eyes), followed by retinal vasculitis (2.4%, seven eyes) and occlusive retinal vasculitis (0.3%, one eye). Most eyes showed IOI resolution (n=40, 97.5%) and BCVA restoration (n=39, 95.1%) with or without corticosteroid treatment during the follow-up. Age, sex, IOI history, or other anti-vascular endothelial growth factor injection histories were not associated with the occurrence of IOI. However, only thin subfoveal choroidal thickness (SFCT) was associated with the occurrence of IOI (odds ratio=0.995, p=0.020). BCVA at 1 month improved from baseline (Baseline 0.518±0.356 vs. 1 month 0.503±0.383, p=0.023), but the improvement was not maintained. Anatomical improvement was significant after 3 months. Conclusion: IOI was well-controlled with or without steroid treatment. Most IOI eyes (95.1%) were restored to the level of vision before IOI occurrence and occlusive vasculitis was rare. In the short term, brolucizumab injection effectively improved vision at 1 month and dried retinal fluid for 3 months.
DOI: 10.6084/m9.figshare.25802203.v1
title: Data for "A quantile-conserving ensemble filter based on kernel density estimation"

description: Code and data for "A quantile-conserving ensemble filter based on kernel density estimation"
DOI: 10.6084/m9.figshare.26391163.v3
title: Plant acquisitive strategies promote resistance and temporal stability of semiarid grasslands

description: ########################################################################################## Analyses of Yan et al., Plant acquisitive strategies promote resistance ######################## and temporal stability of semiarid grasslands ###################################################################################################<br>This file contains both the code (i.e., R files for Figures 2, 3, and 4) and the source data (in .csv and .RDS formats, including key intermediate datasets). We have endeavored to clarify everything, but minor details may still be inaccurate. <br>If you have any questions about the details of this analysis, please feel free to contact the author.<br>1. STUDY TITLE--------------Plant acquisitive strategies promote resistance and temporal stability of semiarid grasslands<br>2. AUTHOR INFORMATION---------------------Pu Yan School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA, USA Email: pyan40@gatech.edu <br>3. DATA SOURCES---------------This study involves two datasets: 1) **DuoLun Observational Data** (used for Figures 2 and 3) - Collected from the DuoLun Station - Includes temporal changes in plant community species composition <br>2) **Grassland Transect Survey Data** (used for Figure 4) - Based on a large-scale grassland transect survey across China - Contains plot-level plant functional traits and ecosystem stability <br>4. NAMING CONVENTIONS---------------------- **Figure2, 3, and 4.R**: Main text files containing model-running code and visualization scripts<br>- **DuoLun_data.csv** Data from the DuoLun experimental plots, used for analyzing trait–stability relationships and running Bayesian models <br>- **DuoLun_bayes_results.csv** Outputs from the Bayesian models fitted to the DuoLun data <br>- **DuoLun_cover_list.RDS** Contains species composition and cover data from the DuoLun experimental site (2005–2010). Used to analyze changes in community-weighted mean (CWM) trait composition between drought and non-drought years. These shifts are presented in Figure 2 as *CWM Drought* vs. *CWM Normal*. <br>- **DuoLun_traits_list.RDS** This dataset contains in situ, species-level trait measurements collected from the DuoLun experimental station.<br>- **DuoLun_CWM_Normal_Drought.RDS** CWM values for normal and drought years <br>- **DuoLun_Shift_Normal_to_Drought.RDS** Results of bootstrapping, including confidence intervals for changes in CWM between drought and normal years <br>- **Transect_Data.csv** Plot-level data (n = 80) from the grassland transect survey, used to analyze trait–stability relationships with Bayesian models <br>- **Transect_bayes_results.csv** Outputs from the Bayesian models fitted to the transect-level data <br>- **Transect_bayes_results_site_level.csv** Outputs from the Bayesian models fitted at the site level for the transect data <br>- **Raw_Data folder** The Raw_Data folder contains the original data, which we are sharing in accordance with ELE's latest data-sharing policy.<br>
DOI: 10.6084/m9.figshare.27889251.v3
title: <b>Equilibrium-Traffic-Networks</b>

description: This repository contains three graph datasets generated for the study "A hybrid deep-learning-metaheuristic framework for bi-level network design problems" by Bahman Madadi and Gonçalo H. de Almeida Correia, published in Expert Systems with Applications. The datasets are generated and used to train and evaluate models for solving the User Equilibrium (UE) problem on three transportation networks (Sioux-Falls, Eastern-Massachusetts, and Anaheim) from the well-known "transport networks for research" repository.It is recommended to use the pytorch geometric (pyg) datasets (added in the latest update) to avoid potential compatibility issues with different versions of dgl. The underlying data is the same and the existing code base works with new datasets. You only need to make sure the dataset names mathc the names in the config files.Detailed information can be found in the "Metadata.md" file.ReferencesA hybrid deep-learning-metaheuristic framework for bi-level network design problemsGitHub Repository: HDLMF_GIN-GA<br>
DOI: 10.6084/m9.figshare.9036941.v1
title: Code to reproduce "Spatial synchrony is related to the rate of environmental change in Finnish moth communities"

description: Data and R code to reproduce the analyses from:<br>&gt; Dallas, TA, L Antao, J Pöyry, R Leinonen, O Ovaskainen. 2019 "Spatial synchrony is related to the rate of environmental change in Finnish moth communities"<br>The raw data are available upon request from JP.
DOI: 10.6084/m9.figshare.c.3857968_d1.v1
title: MOESM1 of Methodological factors affecting joint moments estimation in clinical gait analysis: a systematic review

description: Additional file 1: Appendix S1 reports the details and summary of the studies selected for analysis. Moreover, a specific description of the studies discussing repeatability, reproducibility and sensitivity of moments is also provided.
DOI: 10.17632/3svnh2n84r
title: Electrical resistivity of Fe and Fe-3 wt%P at 5 GPa with implications for the Moon’s core conductivity and dynamo

description: These data are our original measured resistivity data and calculation data. Our data show that small amounts of phosphorus (~3 wt%) in the lunar core have no significant impact on the core’s thermal conductivity. Also, the model result implies that a thermal-driven lunar dynamo perhaps ended before 3.63-3.88 Ga ago.
DOI: 10.6084/m9.figshare.15167517.v2
title: Spatial Covariables for PISCOt v1.2

description: Spatial covariables used in PISCOt v1.2: elevation (DEM), latitude (Y), longitude (X), topographic dissection index (TDI) and land surface temperature day (LST_DAY) and night (LST_NIGHT).
DOI: 10.6084/m9.figshare.19011833.v1
title: Dataset for: SPECIES SENSITIVITY DISTRIBUTIONS FOR USE IN ENVIRONMENTAL PROTECTION, ASSESSMENT AND MANAGEMENT OF AQUATIC ECOSYSTEMS FOR 12,386 CHEMICALS

description: The present paper considers the collection and use of ecotoxicity data for risk assessment with Species Sensitivity Distributions (SSDs) of chemical pollution in surface water. SSDs are used to quantify the likelihood that critical effect levels are exceeded. This fits to the European Water Framework Directive, which suggest using models to assess the likelihood that chemicals affect water quality for management prioritization. We derived SSDs based on chronic and acute ecotoxicity test data for 12,386 compounds. The log-normal SSDs are characterized by the median and the standard deviation of log-transformed ecotoxicity data and by a quality score. A case study illustrates the utility of SSDs for water quality assessment and management prioritization. We quantified the chronic and acute mixture toxic pressure of mixture exposures for &gt;22,000 water bodies in Europe for 1,760 chemicals for which we had both exposure and hazard data. Results show the likelihood of mixture exposures exceeding a negligible effect level and increasing species loss, respectively. The SSDs presented in this paper represent a versatile and comprehensive approach to prevent, assess and manage chemical pollution problems.
DOI: 10.6084/m9.figshare.22691209.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: 10.6084/m9.figshare.3487685.v3
title: TCGA Pan-Cancer expression and mutation data for Project Cognoma

description: The following datasets were created for Project Cognoma:<br>`expression-matrix.tsv.bz2` is a sample × gene matrix indicating a gene's expression level for a given sample. This dataset will be the feature/x/predictor for Project Cognoma.<br>`mutation-matrix.tsv.bz2` is a sample × gene matrix indicating whether a gene is mutated for a given sample. Select columns (or unions of several columns) in this dataset will be the status/y/outcome for Project Cognoma.<br>These are preliminary datasets for development use and machine learning. The data was retrieved from the UCSC Xena Browser.<br>All original work in the data is released under CC0. However, the license of TCGA and Xena data is currently unclear.<br>These two datasets were created by the GitHub repository commit below, although they were not tracked due to large file size. See the download directory of the cancer-data repository for metadata files with the version info for the Xena downloads this release is based on.<br>See the data/subset directory of the cancer-data repository on GitHub to browse small subsets of these datasets.
DOI: 10.11583/dtu.19690606.v1
title: Offshore wind generation time series for technology SP316 HH155 (PECD 2021 update)

description: This data (csv file) provides simulated hourly time series of offshore wind generation with specific power (SP) 316 W/m2 turbines at hub height (HH) of 155 m for the regions shown in the attached map. The analysed offshore wind power plants are sited at the best sites with max 100 km distance to shore, except for the far-offshore North Sea regions (the regions which do not have any connection to shore) where all locations are allowed. The map shows the resulting capacity factors (annual mean). The Excel file gives the average distance to shore for each individual region. Wake losses are modeled, with additional 5 % of other losses and unavailability considered. The time stamps are in GMT; the variable (column) names relate to the region names shown in the maps. The data include also country-level aggregations, e.g., UK00_OFF is the aggregated offshore wind generation of all the UK regions (weighted by regional installed capacities). The data are part of the variable renewable energy generation time series created for ENTSO-E in the 2021 update of the Pan-European Climate Database (PECD) dataset. ENTSO-E has used the data in ERAA 2021 and Winter Outlook 2021-2022 assessments, and they are used in TYNDP 2022. The simulations are carried out by DTU Wind Energy, with the future technology selection and data validation discussed and agreed with ENTSO-E and its members. The linked journal paper (1st link) describes the ERA5-based simulation methodology. It is requested that the paper is cited when the data are used. The linked related journal paper (2nd link) describes the modeling of wake losses for the offshore wind power plants and the storm shutdown behaviour (the smoothest storm shutdown technology is assumed). This item is part of a larger collection of wind and solar data: https://doi.org/10.11583/DTU.c.5939581
DOI: 10.17632/7bwjnvvprd
title: GIC//NMC Solar Battery Synthetic Data 2 - 45,000 x 18 degradation for  clear-sky irradiance and cloudy days

description: This dataset consists of part 2 of the data associated with publication "Data-driven Direct Diagnosis of PV Connected Batteries "

The synthetic cycles were generated using the mechanistic modeling approach. See  “Big data training data for artificial intelligence-based Li-ion diagnosis and prognosis“  (Journal of Power Sources, Volume 479, 15 December 2020, 228806) and "Analysis of Synthetic Voltage vs. Capacity Datasets for Big Data Li-ion Diagnosis and Prognosis" (Energies 2021, 14, 2371 ) for more details. 

Two sets of data are available, one for training and one for validation
Training dataset: MEDB_PI folder,  clear-sky irradiance,   0.025 triplet resolution up to 50% degradation with 2% increment. 
Validation dataset: MEDB_Cloud, 18 different cloudy days, 0.05 triplet resolution up to 50% degradation with 2% increment. 

All datasets  were generated with slightly different cell parameters to account for cell-to-cell variations. Details are available in publication.
For each duty cycle, 3 set of files are provided, the *_V files contains V vs. Q data, the *_t files contains V vs. time data and the *_R files contains rate vs. Q data. 

For each file,  column in the volt, voltT, ot rate variable corresponds to 1 degradation path, the 1001 lines corresponds to the resolution in variable Q (for the capacity based data) or timenorm (for the time-based data).
Details of each duty cycle is provided in the pathinfo variable with headers in pathinfo_index ( 1 - % LLI, 2 - % LAMPE, 3 - % LAMNE, 4 - Capacity, 5 - DOD).

All simulations were performed with the 2022 version of the alawa toolbox. Voltage and kinetics of electrodes from different manufacturers, with different composition, or with different architecture might differ significantly. 

MEDB_irradiancedata.mat contains data gathered for 2 years at MEDB site (see publication for details).  Data provided courtesy of HNEI’s Severine Busquet, Jonathan Kobayashi, and Richard Rocheleau

This matlab structure contains the following variables:
dn: time from Matlab reference time
dh: hour of the day
doy: day of the year
dm: month of the year
dy: year
ghi: global irradiance (W/m2)
class: clear sky yes/no
perc_clear: clear sky percentage (%)
meta: panel metadata
tot_POA: clear sky irradiance at POA (W/m2)
inc:  Solar angle of incidence relative to the POA (degree)
tot_horz: clear sky horizontal irradiance (W/m2)
DOI: 10.17632/x3r8fcnkpc
title: A study of SMCs phenotype in TGFβR2iSMC-Apoe and TGFβR2iSMC-Ldlr mice Chen et al. Related to Fig 2

description: Data Related to Fig 2. A mouse line carrying floxed Tgfbr2 and SMC lineage-tracing mT/mG alleles under control of a myosin heavy chain (Myh11) promoter on an Ldlr null background (Ldlr-/-;Myh11CreERT2;mT/mGf/f;Tgfbr2f/f) hereafter called TGFβR2iSMC-Ldlr. These mice were treated with Tamoxifen at 6 week of age and fed high cholesterol high fat diet for 4 months. Ascending aorta smooth muscle cells from these mice express macrophage, chondrocyte, adipocyte, and osteoblast lineage markers as shown by immunocytochemistry and qRT-PCT from laser micro dissection tissues compared to controls.
DOI: 10.6084/m9.figshare.24106161.v1
title: Data from: No model to rule them all: a systematic comparison of 83 thermal performance curve models across traits and taxonomic groups

description: This is a compilation of thermal performance datasets of biological traits of ectotherms from the literature.<br><br>The table includes the following columns:an id for each thermal performance datasetthe organism (taxon column)taxonomy information (kingdom and phylum columns)trait information (trait, broad_trait_group, specific_trait_group columns)trait units (trait_unit_SI column)temperature in °Ctrait measurements (trait_value column)the study from which data were obtained (citation column)<br><br>
DOI: 10.6084/m9.figshare.28715339.v1
title: Supplemental Data and Code

description: Dataset containing all code and genome assembly features for reproducing results in Despot-Slade et al. 2025.
DOI: 10.6084/m9.figshare.28812275.v1
title: Huang, et al.Supplementary Figures and Tables

description: Metabolic dysfunction-associated steatotic liver disease (MASLD) and metabolic dysfunction-associated steatohepatitis (MASH) are major health burdens. Appropriate in vitro models are necessary to study these diseases and to understand the molecules and mechanisms involved. Most in vitro models are based on tumour cells. In this research we have used CRISPR/Cas9 prime editing to introduce the <i>PNPLA3</i> p.I148M gene variant into a healthy-derived immortalised human hepatocyte (IHH) cell line to generate a new <i>in vitro</i> model of MASLD to help understand stetatotic liver disease.
DOI: 10.17632/4yn7pp92y4
title: The fast and accurate computation of eigenvalues and eigenfunctions of time-independent one-dimensional Schrödinger equations

description: In this paper, we present the basic routines of the C++-program Matslise 3.0, an updated but yet restricted version of the matlab package Matslise 2.0. Matslise 3.0 currently allows the accurate, but in comparison to Matslise 2.0, faster computation of eigenvalues and eigenfunctions of one dimensional time-independent Schrödinger problems. The numerical examples show that speed up factors up to 20 (for the eigenvalues) and 200 (for the eigenfunctions) are obtained. These highly optimized routines will enable us, in the near future, to extend Matslise 3.0 to solve time-independent 2D and 3D as well as time-dependent 1D problems.
DOI: 10.17632/t3vpkrnsrg
title: new-Excel Data Self-control and Hope 2020

description: The data comprised of responses to the questionnaire Self-Control Scale and Herth Hope Scale from 244 respondents. Self-Control Scale has 24 items and measured six dimensions which are impulsivity, simple task, risk-seeking, physical activities, self-centeredness and temper. Herth Hope Scale has 30 items measuring three dimensions which are cognitive-temporal, affiliative-contextual and affective-behavioral.
DOI: 10.17632/zr75dtydsf
title: Mental health in working contexts: Reflections on public policy and its implementation in the Colombian context.

description: Mental health is defined by the WHO (2013) as a state of well-being in which the individual is aware of his or her own capabilities and can cope with the normal stresses of life, can work productively and fruitfully, and is able to make a contribution to his or her community Thus, numerous studies have demonstrated the relationship between psychosocial conditions at work and the mental health of workers, showing that mental disorders such as anxiety and depression have a very negative effect on quality of life and functional capacity at work. Therefore, the importance of detecting, preventing, diagnosing and intervening in work contexts to promote mental health from the workplace, generating the reinstatement of employees with mental disorders, is highlighted. In addition, attention to these problems is considered a fundamental right, which is the right to health (in a comprehensive manner, i.e., including mental health).
DOI: 10.6084/m9.figshare.20443584.v2
title: PROMISE data

description: College enrollment data
DOI: 10.6084/m9.figshare.26881174.v1
title: Sequence alignments and phylogenetic trees for <i>Monosporascus solitarius</i> - Fungal Planet 1759 - 6 December 2024

description: Sequence alignments and phylogenetic trees for <i>Monosporascus solitarius</i> - Fungal Planet 1759 - 6 December 2024
DOI: 10.17632/y2jmwwwztc
title: SAXS curve of human L-chain Ferritin wild type loaded with 50 Iron/protein shell
DOI: 10.6084/m9.figshare.11965917.v1
title: CO-TRANSLATING VELIMIR KHLEBNIKOV’S RUSSIAN TRANSRATIONAL POETRY

description: Abstract This paper aims to analyze the translations of zaum poems by the Russian Cubo-futurist poet Velimir Khlebnikov. One of the most influential Russian poets of the first half of the twentieth century, Khlebnikov resorted to and developed across his work a number of experiments with the innovative language found in several manifestos of the Russian avant-garde. The zaum – or transrational – language was first translated and published in the 1968 anthology of poems, Modern Russian Poetry. The re-translation is regarded in this paper as a dialogic process, which we view as a co-translation, by making use of and re-elaborating the material once translated by Augusto and Haroldo de Campos and Boris Schnaiderman to the Portuguese language.