cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17028/rd.lboro.2070091.v1
title: REFIT Smart Home dataset

description: This dataset is maintained by Steven Firth (s.k.firth@lboro.ac.uk), Building Energy Research Group (BERG), School of Civil and Building Engineering, Loughborough University. The REFIT project (www.refitsmarthomes.org) carried out a study from 2013 to 2015 in which 20 UK homes were upgraded to Smart Homes through the installation of devices including Smart Meters, programmable thermostats, programmable radiator valves, motion sensors, door sensors and window sensors.Data was collected using building surveys, sensor placements and household interviews.The REFIT Smart Home dataset is one of the datasets made publically available by the project. This dataset includes: - Building survey data for the 20 homes. - Sensor measurements made before the Smart Home equipment was installed. - Sensor measurements made after the Smart Home equipment was installed. - Climate data recorded at a nearby weather station.---<br> This work has been carried out as part of the REFIT project (‘Personalised Retrofit Decision Support Tools for UK Homes using Smart Home Technology’, Grant Reference EP/K002457/1). REFIT is a consortium of three universities - Loughborough, Strathclyde and East Anglia - and ten industry stakeholders funded by the Engineering and Physical Sciences Research Council (EPSRC) under the Transforming Energy Demand in Buildings through Digital Innovation (BuildTEDDI) funding programme. For more information see: www.epsrc.ac.uk and www.refitsmarthomes.org---<br>The references below provide links to the REFIT project website, the TEDDINET website, a journal article which uses the dataset, and three additional datasets collected as part of the REFIT project by the University of Strathclyde and the University of East Anglia.
DOI: 10.6084/m9.figshare.28925273.v1
title: Material Examined

description: Supplementary Material examined file
DOI: 10.6084/m9.figshare.6356420.v21
title: HELIO4CAST Interplanetary Coronal Mass Ejection Catalog v2.2

description: This is the HELIO4CAST interplanetary coronal mass ejection (ICME) catalog, based on in situ magnetic field and bulk plasma observations in the heliosphere.<b>This is version 2.2, released 2024-February-27, updated </b><b>2024-April-11</b><b>See also: </b><b>https://helioforecast.space/icmecat</b><br><br>The catalog is available as python pandas dataframe (pickle), python numpy structured array (pickle), json, csv, xlsx, txt, hdf5, html, plus a header txt file with parameter descriptions.<b>Rules:</b> If results are produced with this catalog for peer-reviewed scientific publications, please contact chris.moestl@outlook.com for possible co-authorship.Number of events in ICMECAT: 1700ICME observatories: Solar Orbiter, Parker Solar Probe (PSP), BepiColombo, Wind, MAVEN, STEREO-A, STEREO-B, Juno, Venus Express (VEX), MESSENGER, Ulysses.Time range: January 1995 - March 2024.<b>Authors:</b><b> </b>Christian Möstl (1), Eva Weiler (1), Emma E. Davies (1)<br>(1) Austrian Space Weather Office, GeoSphere Austria, Graz, Austria.<br><b>Contributors:</b> Rachel L. Bailey, Martin A. Reiss, Andreas J. Weiss, Tarik Mohammad Salman, Peter Boakes, Alexey Isavnin, Emilia Kilpua, David Stansby, Reka Winslow, Brian Anderson, Lydia Philpott, Vratislav Krupar, Jonathan Eastwood, Simon Good, Lan Jian, Teresa Nieves-Chinchilla, Cyril Simon Wedlund, Jingnan Guo, Mateja Dumbovic, Johan von Forstner, Benoit Lavraud.<br>
DOI: 10.6084/m9.figshare.27702870.v1
title: Data from: Combined of habitat degradation and cyclones on a community of small mammals

description: Contains morphometry data of several small mammal species present in Ranomafana National Park (N = 640 individuals), southeastern Madagascar captured using Sherman live traps baited with banana from 2021 to 2022. Also contains vegetation survey and measurement of each plant individual &gt; 5m high in 360 5x5 m quadrats in Ranomafana National Park (N = 19,237 individuals).
DOI: 10.17632/vfzgt2gnsh
title: MAISE: Construction of neural network interatomic models and evolutionary structure optimization

description: Module for ab initio structure evolution (MAISE) is an open-source package for materials modeling and prediction. The code’s main feature is an automated generation of neural network (NN) interatomic potentials for use in global structure searches. The systematic construction of Behler–Parrinello-type NN models approximating ab initio energy and forces relies on two approaches introduced in our recent studies. An evolutionary sampling scheme for generating reference structures improves the NNs’ mapping of regions visited in unconstrained searches, while a stratified training approach enables the creation of standardized NN models for multiple elements. A more flexible NN architecture proposed here expands the applicability of the stratified scheme for an arbitrary number of elements. The full workflow in the NN development is managed with a customizable ‘MAISE-NET’ wrapper written in Python. The global structure optimization capability in MAISE is based on an evolutionary algorithm applicable for nanoparticles, films, and bulk crystals. A multitribe extension of the algorithm allows for an efficient simultaneous optimization of nanoparticles in a given size range. Implemented structure analysis functions include fingerprinting with radial distribution functions and finding space groups with the SPGLIB tool. This work overviews MAISE’s available features, constructed models, and confirmed predictions.
DOI: 10.6084/m9.figshare.28418645.v2
title: data for Food sensing controls C. elegans reproductive behavior by neuromodulatory disinhibition

description: data for Food sensing controls C. elegans reproductive behavior by neuromodulatory disinhibition
DOI: 10.17632/s9xhxp4cs2
title: Evidence of strain accumulation and obliquity in convergence in the Himachal region of NW Himalaya from short term geodetic measurements

description: The data contains the daily h-files for all the permanent GNSS Stations used in the analyses reported in the Research Paper, currently under review in AGU-Tectonics Journal: Kumar P., Malik J.N., Gahalaut V.K., Yadav R.K. & Singh G. (2023). Evidence of strain accumulation and obliquity in convergence in the Himachal region of NW Himalaya from short term geodetic measurements"
DOI: 10.6084/m9.figshare.11418906.v1
title: Avstånd stroke-inspelning.xlsx

description: Distance in mm between the recording and lesion site in the article "Focal neocortical lesions impair distant neuronal information processing".Column 1: ID of the experimentColumn 2: Distance in mm between recording and lesion siteColumn 3-4: Mean and standard deviation of the distances in column 2
DOI: 10.6084/m9.figshare.27125373.v1
title: Peach 成熟度数据集

description: 一个基于深度学习的成熟度数据集，对毛桃进行综合分类，重新调整真实的果园种植环境。使用智能手机以 3024 x 4032 像素的分辨率捕捉不同生长阶段的桃子图像。此外，该数据集已按照成熟度分类进行了标注，分别是硬熟、半熟、全熟，还涵盖了不同的拍摄距离、不同的光照条件、不同的果实生长条件。经过筛选的原始数据集由 1,245 张图像组成，其中 3,493 个水果边界框手动注释，并以 Pascal VOC 和 YOLO 格式提供注释文件。
DOI: 10.6084/m9.figshare.3552420.v1
title: Supplement 1. Exploration of conditional importance using a synthetic data set. This document is provided as part of the documentation of the R package extendedForest.

description: File List Conditional-importance.pdf Description This is a vignette from the R package extendedForest, which is available at http://gradientforest.r-forge.r-project.org. The vignette shows the results of a simulation study demonstrating the impact of correlation between predictor variables on determining variable importance and how the conditional permutation method implemented in extendedForest reduces this impact.
DOI: 10.6084/m9.figshare.1522124.v2
title: Overview of OSTP Responses Chart - raw .indd files

description: This is the raw data for our figure/visualization of the "crowd-sourced table that attempts to collect and consolidate guidelines from federal agencies related to their plans for facilitating public access to results from the research funded within each agency." Our figure is a PDF -- that's not really reusable or easily reproducible. While this is proprietary software (sorry!), it can be remixed and reused as you see fit. Please see the links below for more information. We'll continue to update and version this fileset as the crowd-sourced table is updated with newly-released public policy plans.
DOI: 10.6084/m9.figshare.27894813.v1
title: F1000 Data of Cervical Spine

description: Measurements in degenerative disease of c spine
DOI: 10.17632/xcc3x848rv
title: MEG3 pseudoknots

description: These raw data refer to the manuscript https://doi.org/10.1016/j.molcel.2019.07.025 entitled "Conserved pseudoknots in lncRNA MEG3 are essential for stimulation of the p53 pathway"
DOI: 10.6084/m9.figshare.24105993.v1
title: Surface-enhanced (SERS) and tip-enhanced (TERS) Raman scattering in label-free characterization of erythrocyte membranes and extracellular vesicles in nano-scale and at the single-molecule level.

description: Raw data obtained using Atomic Force Microscopy (AFM), Raman Spectroscopy (laser 633 nm),Surface enhanced Raman Spectroscopy (SERS) and Tip enhanced Raman Spectroscopy (TERS) techniques.
DOI: 10.6084/m9.figshare.28400333.v2
title: Forecast data of provincial carbon emissions in China from 2025to 2035: based on ARIMA-BP model

description: China is an important contributor to global carbon emissions. Accurately estimating carbon emissions is crucial for reducing carbon emissions in accordance with the United Nations Sustainable Development Goals and China's carbon neutrality strategy. This study selected energy consumption data from Chinese provinces from 2000 to 2021, calculated carbon emissions using the carbon emission factor method, and then predicted carbon emissions data for 2022-2035 using the ARIMA-BP model. This dataset can be used to describe the spatiotemporal evolution trend of carbon emissions in China. This study can provide policy basis and wisdom for China's carbon reduction efforts
DOI: 10.17632/55y8zdcnbt
title: Open Government Data Portals in the European Union: A Dataset from 2015 to 2017

description: The focus of this research was to study the development of open government data portals in the 28 countries of the European Union. The evolution of several parameters and indicators over a period of 3 years in the official national open data portals were observed. Data were manually obtained from existing public data sources and official open government data portals available on the Web. Clustering analysis was applied for grouping similar countries with respect to different indicators. Clustering was carried out using Density-based spatial clustering of applications with noise (DBSCAN); cluster validation was carried out using the Davies–Bouldin index. This dataset is used in the paper "Open government data portals in the European Union: Considerations, development, and expectations" https://doi.org/10.1016/j.techfore.2019.119769
DOI: 10.6084/m9.figshare.24416398.v1
title: MGTWR code and data.zip

description: MGTWR code and data.
DOI: 10.6084/m9.figshare.27602619.v1
title: EAMHGCN

description: Data and Codes for "Building Pattern Recognition by Using an Edge-attention Multi-head Graph Convolutional Network"
DOI: 10.6084/m9.figshare.5202442.v1
title: Rachul et al. - Newspaper Article database.xlsx

description: The data are a list of newspaper articles from the top 3 newspapers in Australia, Canada, Ireland, New Zealand, UK, and USA from January 1, 2009 to December 31, 2015. They were retrieved from the Factiva database using the search terms "platelet rich plasma" or "PRP."<br>
DOI: 10.6084/m9.figshare.16995796.v1
title: Thyroid hormones and kidney function

description: Minimal data set for publication in scientific journal
DOI: 10.6084/m9.figshare.6734810.v1
title: Modular structure in fish co-occurrence networks - Fish Data

description: These are the raw fish co-occurrence data used in McGarvey & Veech, <i>Modular structure in fish co-occurrence networks</i>.<br>Data are included for 10 nested river basins, distributed among three spatial scales (HU0, HU2, & HU4).<br>For each river basin, two files are included: (1) a presence-absence matrix of fish species collected at sampling sites (ending with "_FishData" labels); and (2) a file of species' range centroids (ending with "_FishData_XY" labels).<br>
DOI: 10.17632/5jw5dfw9pv
title: Analysed data sets of Next generation sequenced whole genome of chrysopelea ornata: Microsatellites, gene prediction and proteomics for forensic applications.

description: This study provides the list of microsatellites, genes and protiens in the whole genome of Chrysopelea ornata. A total of 338,108 ideal microsatellites were detected by the utilization of MISA to examine the genome sequence. A study was conducted on the distribution of six SSR categories, which includes mononucleotide, dinucleotide, trinucleotide, tetranucleotide, pentanucleotide, and hexanucleotide repeats. The findings, presented in Table 1, disclose the comparative distribution of each category. Out of the microsatellites that were found, mononucleotide repeats were the most common, making up 33% of all the perfect SSRs. The distribution of SSR categories, following mononucleotide repeats, was as follows: tetranucleotide (24%), dinucleotide (18%), trinucleotide (15%), pentanucleotide (9%), and hexanucleotide (1%). This study enhances the understanding of the distribution of microsatellites in the genome of Chrysopelea ornata. Gene prediction using Augustus identified a total of 156,707 genes. Annotation with UniParc and UniProt databases resulted in 26,195 and 8,510 protein IDs, respectively.
DOI: 10.6084/m9.figshare.14465568.v1
title: pbmc68k.h5ad

description: Perspectives in RNA velocity<br>scRNA-seq dataset of 68k PBMCs, containing spliced and unspliced reads, from https://doi.org/10.1038/ncomms14049
DOI: 10.6084/m9.figshare.3555081.v1
title: Appendix A. Parameter estimations and maximum-likelihood values for experiments depicted in Figs. 2–7.

description: Parameter estimations and maximum-likelihood values for experiments depicted in Figs. 2–7.
DOI: 10.17632/6ky8hckb5j
title: Variation characteristics of aggregate composition, SOC in aggregates, Feo in aggregates, and Fec in aggregates in QRS under various anthropogenic land use activitie

description: QRS represents a pre-Holocene paleosol that developed under warm and humid climatic conditions. A series of QRS pedons, influenced by anthropogenic land use activities, were sampled including sparse forest grassland, grassland, woodland, and cultivated land. According to the principle proposed by Brewer (1976), the Btr2 horizon in the buried QRS, which had the lowest degree of weathering in the profile, was selected as the reference basis. By utilizing the Soil Reconstruction Method and using Ti as the stable element, the gains and losses of aggregates, SOC in aggregates, Feo in aggregates, and Fec in aggregates were calculated for 0–30 cm layer in the QRS under different anthropogenic land use activities compared to the buried one.
DOI: 10.6084/m9.figshare.24746073.v1
title: Supplementary Material for: Electroencephalographic abnormalities in a patient suffering from long-term neuropsychological complications following SARS-Cov2 infection

description: Introduction
Emotional apathy has recently been identified as a common symptom of long COVID. While recent meta-analyses have demonstrated generalized EEG slowing with the emergence of delta rhythms in patients hospitalized for severe SARS-Cov2 infection, no EEG study or dopamine transporter scintigraphy (DaTSCAN) have been performed in patients with long COVID presenting with apathy. The objective of this case report was to explore the pathophysiology of neuropsychological symptoms in long COVID. 
Case presentation
A 47-year-old patient who developed a long COVID with prominent apathy following an initially clinically mild SARS-Cov2 infection, underwent neuropsychological assessment, cerebral MRI, DaTSCAN, and resting-state high-density EEG seven months after SARS-Cov2 infection. The EEG data were compared to those of 21 healthy participants. The patient presented with apathy, cognitive difficulties with dysexecutive syndrome, moderate attentional and verbal episodic memory disturbances, and resolution of pre-morbid mild gaming disorder, mild mood disturbances, and sleep disturbances. His MRI and DaTSCAN were unremarkable. EEG revealed a complex pattern of oscillatory abnormalities compared to the control group, with a strong increase in whole-scalp delta and beta band activity, as well as a decrease in alpha band activity. Overall, these effects were more prominent in the frontal-central-temporal region. Conclusion
These results suggest widespread changes in EEG oscillatory patterns in a patient with long Covid characterized by neuropsychological complications with prominent apathy. Despite the inherent limitations of a case report, these results suggest dysfunction in the cortical networks involved in motivation and emotion.
DOI: 10.17632/ptzympj2gf
title: Data for: In Situ Experimental Study of Talc Carbonation in C-O-H Fluid: Implications for the Deep Carbon Cycle

description: Raw data for figures in the manuscript.
DOI: 10.6084/m9.figshare.28031951.v3
title: Global land ET estimated by the atmospheric water balance approach

description: Global land ET estimation based on the atmospheric water balance approach using ERA5 reanalysis and four precipitaion datasets.
DOI: 10.17632/3mzghf6r9c
title: Assessment of Health Supply Chain risks in Uganda. The Case of Uganda Health Supply Chain project

description: Abstract: This study aimed at assessing risks affecting Health supply chains in Uganda using a case of Uganda Health Supply Chain project. The theoretical framework onto which this study was anchored was the normative decision theory of risk management. A cross-sectional study design was adopted employing the quantitative research approach. A sample population of 196 was used and primary data was collected using self-administered questionnaires and analyzed using STATA statistical program. Descriptive data was presented in form of graphs and frequency distribution tables. It was later analyzed and interpreted using percentages, frequencies, means, and standard deviations. The study results revealed that the greatest health supply chain risks faced by health supply chain programs in Uganda were; Financial-related risks such as cost overruns; and End user-related risks such as poor quality health commodities, poor feedback mechanisms and loss of patient lives . Other major risks discovered by the study included demand and supply-related risks resulting from supplier unpredictability such as stock outs; Procurement-related risks such as long lead-times and inadequate technical input; and distribution and Storage-related risks. Environmental-related risks such as accidents, bad weather and political instability were the least faced risks. The study concluded that health supply chains in Uganda are troubled by a multitude of risks, and therefore the study recommended that, after a clear understanding of risks affecting health supply chains has been uncovered, carefully-tailored standard risk management processes can be established within health supply chain projects to improve the functionality of Uganda’s health supply chain management systems.
DOI: 10.6084/m9.figshare.26058157.v1
title: Meta-analysis of vegetation responses to experimental nitrogen enrichments done in salt marshes under different sea level rise regimes reveal interaction of N supply and sea level rise

description: Agricultural-style fertilization studies to assess responses of salt marsh vegetation to increased nitrogen supply have been done in many coastal regions of the world. Initial enrichment experiments first revealed the role of nitrogen (N) supply as a key control of vegetation responses. A review of results from 43 N-fertilization studies carried out in a variety of coasts worldwide found increased responses by above-ground salt marsh vegetation in 94.5 % of the enrichments. The responses, although variable, increased significantly as N supply increased, confirming the limiting function of N supply. Enrichments with urea, a mix of N forms, or ammonium were more effective than enrichment with nitrate. Synthesis of compiled data suggested an interaction of N supply with sea level rise may be important. Sea level rise &gt;3.4 mm yr<sup>-1</sup> damped the ability of above-ground salt marsh vegetation to respond to increased N supply, and it is possible that critical thresholds (about 15 mm yr<sup>-1</sup>) for above-ground marsh vegetation may be reached by 2100. Below-ground vegetation responses were not greatly affected by N enrichment in the data compiled, but as sea level increases in the future, data trendlines suggest a possible future threshold (perhaps about 9 mm yr<sup>-1</sup>) in submergence that would impair below-ground vegetation responses. These findings suggest that sea level rise effects may overwhelm the positive effects of increased N supply, an interaction that may impair salt marsh vegetation function, leading to increasing future submergence of these valuable habitats. These results emphasize the urgency for new mitigation strategies.
DOI: 10.17632/77m7nmyzy8
title: Data for: Aligning Textual and Model-Based Process Descriptions

description: This file contains the software behind the paper "Aligning Textual and Model-Based Process Description" and the data sets used
DOI: 10.17632/xz5hbd6zds
title: Indian Facemasks Detection Dataset

description: Dataset for real-time face mask detection customised specifically for Indian ethnicity. Classes - 2 (Class 1 - Without Mask and Class 2 - With Mask) Total images - 1226 Total Annotations - 1226 (Annotations are present in both YOLO and Pascal VOC format ) Types of images included are: Different proportions of face covered with various type of masks like - standard PPE masks, handkerchief masks, dupattas and other type of veils etc.
DOI: 10.6084/m9.figshare.13668596.v1
title: COVID-CTset part1

description: Full description can be found in : https://github.com/mr7495/COVID-CTset This part contains CT images of 95 patients and 108 normal persons. If you use our data, please cite our paper: The pre-prints is available at: https://doi.org/10.1101/2020.06.08.20121541 https://www.researchgate.net/publication/341804692_A_Fully_Automated_Deep_Learning-based_Network_For_Detecting_COVID-from_a_New_And_Large_Lung_CT_Scan_Dataset https://www.preprints.org/manuscript/202006.0031/v3
DOI: 10.6084/m9.figshare.15128676.v1
title: Figure 2

description: This collection contains the source data for the graph of Figure 2.
DOI: 10.17605/osf.io/dupkb
title: Coral venom and toxins as protection against crown-of-thorns sea star attack

description: Coral venom and toxins as protection against crown-of-thorns sea star attack.

Lucy M. Gorman, Ariana S. Huffmyer, Maria Byrne, Suzanne C. Mills, Hollie M. Putnam

Preprint available on bioRxiv - https://doi.org/10.1101/2025.02.10.637440

This repository contains data, scripts, and analysis for putative coral venom proteins across previously published genomes and transcriptomes of five preferred crown-of-thorns sea star (CoTS) prey (Acropora species) and six non-preferred CoTS prey (Porites species and Echinopora lamellosa).
DOI: 10.17632/4zkczny8nv
title: Data in brief for submission of Applied Materials Today

description: Original data to get all figures in the submission.
DOI: 10.6084/m9.figshare.19322543.v1
title: Parkinson Dataset with replicated acoustic features Data Set

description: Adaptation of http://archive.ics.uci.edu/ml/datasets/Parkinson+Dataset+with+replicated+acoustic+features+<br>Ready for usage with ehrapy