cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/hn46v683wm
title: The wrong policies of the UK government increasing homelessness rates among Ukrainian refugees in the UK

description: The refugee crisis has swept across Europe in recent years. The refugee crisis has negatively affected most European countries. The UK is one of these countries. The European Border and Coast Guard Agency (Frontex) recently announced that in 2023, more than 380,000 refugees from different countries have entered the territory of the Union. The latest figures show that homelessness in the UK has worsened over the past five years. Homelessness in The UK is at an all-time high. Many of the UK's homeless are asylum seekers. Ukrainian asylum seekers are also a large number of homeless people in the UK. This article examines the issue of the UK refugee crisis. The following article will discuss the issue of homelessness rates among Ukrainian refugees in the UK.
DOI: 10.6084/m9.figshare.14369555.v1
title: Monodisperse and size-tunable high quality factor microsphere biolasers

description: This is the dataset for the paper entitled "Monodisperse and size-tunable high quality factor microsphere biolasers" submitted to Optics Letters.
DOI: 10.6084/m9.figshare.19494143.v2
title: The Multi-Directional Effect of Rotating Magnetic Field and Antiseptic on In Vitro Pathogenic Biofilm and Its Milieu

description: Raw data used for preparation of publication entitled "The Multi-Directional Effect of Rotating Magnetic Field and Antiseptic on In Vitro Pathogenic Biofilm and Its Milieu"
DOI: 10.6084/m9.figshare.26233454.v1
title: SYN-FIRE: Synthetic Dataset for Fire Detection in Indoor Environments

description: The SYN-FIRE dataset was developed specifically for research on the impact of synthetic data on fire segmentation performance, serving as the primary benchmark for evaluating deep learning models in controlled indoor fire scenarios.
DOI: 10.6084/m9.figshare.11944947.v3
title: More than one million negative reviews from a Chinese e-commerce platform

description: The dataset is from a B2C e-commerce platform in China, with massive product negative reviews of four representative sectors including Computers, Phone&Accessories, Gifts&Flowers and Clothing.Here the negative reviews are defined as the reviews with scores 1. After the raw data was collected, deduplication, user anonymization & categorization and text classification was employed to process the raw data. The data contains fields of id for comment, anonymous id for user, review text, timestamp of the posting, negative reason label and user level.<br> <br> The dataset contains four JSON files, with each file titled by the corresponding sector name.In each JSON file, each line represents a record of a negative review from this sector, in which the filed ‘id’ is the unique code we created for reviews, the filed ‘userID’ is the unique code we created for users, the field ‘userLevel’ is the user’s level in the platform, the field ‘creationTime’ is the timestamp a review was posted, the filed ‘content’ is the review text in Chinese and the field ‘label’ represent why the consumers post the negative reviews, in which 0 for Logistic, 1 for Product function, 2 for Consumer Service and 3 for False Marketing. <br> The dataset comes from our paper: <br> Sun M, Zhao J. Behavioral Patterns beyond Posting Negative Reviews Online: An Empirical View. <em>Journal of Theoretical and Applied Electronic Commerce Research</em>. 2022; 17(3):949-983. https://doi.org/10.3390/jtaer17030049 <br> If it is helpful, please cite the paper. <br> This work was supported by NSFC (Grant No. 71871006).
DOI: 10.6084/m9.figshare.26044132.v1
title: Supplementary Data Schaeffer et al 2024 Paleobiological implications of chevron pathology in the sauropodomorph <i>Plateosaurus trossingensis</i> from the Upper Triassic of SW Germany

description: Supplementary data in the form of CT scans and 3D surface models for Schaeffer et al 2024 (in Press) Paleobiological implications of chevron pathology in the sauropodomorph <i>Plateosaurus trossingensis</i> from the Upper Triassic of SW Germany
DOI: 10.6084/m9.figshare.29069183.v1
title: Iron-Modified Biochar and Plant Species in Enhancing Wastewater Treatment in Constructed Wetlands.xlsx

description: Constructed wetlands (CWs) are an effective wastewater treatment technology, with biochar addition believed to further enhance their performance. This study investigated the effects of different “tea leaf-derived biochar loaded with Fe” (TBC-Fe) addition levels (0%, 1%, 2%) on wastewater treatment performance in CWs planted with three wetland plant species: <i>Cyperus alternifolius</i> (CA), <i>Acorus calamus</i> (AC) and <i>Canna indica</i> (CI). Through controlled experiments, we evaluated the effects of TBC-Fe on the removal efficiency of COD, TN, NH<sub>4</sub><sup>+</sup>-N, NO<sub>3</sub><sup>-</sup>-N and TP, while also evaluating plant physiological responses. Results demonstrated that the appropriate biochar addition level (1%) significantly enhanced water quality improvement of CWs, and promoted plant growth, root metabolic activity and nutrient uptake (N and P). Among the plant species, the CA system showed the highest potential for pollutant removal. However, its dosage effect is significant, excessive addition of biochar (2%) led to reduced biomass, lower chlorophyll and carotenoid concentration and decreased photosynthesis efficiency, thereby impairing the CW performance. These findings suggest that TBC-Fe can significantly boost the water purification efficiency of CWs, but optimal dosages must be tailored to specific plant species and biochar characteristics for maximum effectiveness in both wastewater purification and plant growth.
DOI: 10.6084/m9.figshare.3528371.v1
title: Data Paper. Data Paper

description: File List Files are ASCII text, tab delimited. No compression schemes were used. Oosting_pres1.txt -- for the multiscale vascular plant grid data collected in 1989, with species as columns. Consists of 1124 lines, not including the header row. Oosting_pres2.txt -- contains identical data to oosting_pres1.txt but has species as attributes. Consists of 21253 lines, not including the header row. species_codes.txt -- for the species names. Consists of 224 records, not including the header row. Oosting_Trees_1998.txt -- for the trees sampled in 1990 and 1998. Consists of 12973 records, not including the header row. Oosting_env.txt -- for soil and altitude data collected in 1990. Consists of 289 records, not including the header row. Description We present a data set collected in 1989 of vascular plant occurrences in overlapping grids of nested plots in the Oosting Natural Area of the Duke Forest, Orange County, North Carolina, USA. The purpose of these data is to allow the study of vascular plant biodiversity at multiple spatial scales, in terms of both grain and extent. There are eight distinct plot sizes (grains), with size four times that of the next smallest, from 0.015625 m<sup>2</sup> to 256 m<sup>2</sup>. Larger grains are possible by aggregating adjacent plots. Extents (linear distances between plots) range from 1m to 362 m. In addition, trees were mapped over the entire 256 m × 256 m study site in 1990, and again in 1998 to assess the effects of Hurricane Fran in September 1996. Tree species, diameters, and damage descriptors (1998 only) were also recorded. Soils were gathered from the entire grid in 1990 and analyzed for nutrients, pH, and organic matter. These data have already been used to assess scale dependence of plant diversity, to evaluate new methods for the study of spatial scale, and to study the importance of spatial scale on the interpretation of hurricane damage to forests. They are presented as a case study for future scale research. <i>Key words: distance decay; hurricane; North Carolina; soil nutrients; spatial scale; species–area relationships; tree mapping; vascular plants</i>.
DOI: 10.6084/m9.figshare.4738054.v1
title: Mitochondrial super-haplogroup U diversity in Serbians

description: <b>Background:</b> Available mitochondrial (mtDNA) data demonstrate genetic differentiation among South Slavs inhabiting the Balkan Peninsula. However, their resolution is insufficient to elucidate the female-specific aspects of the genetic history of South Slavs, including the genetic impact of various migrations which were rather common within the Balkans, a region having a turbulent demographic history. <b>Aim:</b> The aim was to thoroughly study complete mitogenomes of Serbians, a population linking westward and eastward South Slavs. <b>Subjects and methods:</b> Forty-six predominantly Serbian super-haplogroup U complete mitogenomes were analysed phylogenetically against ∼4000 available complete mtDNAs of modern and ancient Western Eurasians. <b>Results:</b> Serbians share a number of U mtDNA lineages with Southern, Eastern-Central and North-Western Europeans. Putative Balkan-specific lineages (e.g. U1a1c2, U4c1b1, U5b3j, K1a4l and K1a13a1) and lineages shared among Serbians (South Slavs) and West and East Slavs were detected (e.g. U2e1b1, U2e2a1d, U4a2a, U4a2c, U4a2g1, U4d2b and U5b1a1). <b>Conclusion:</b> The exceptional diversity of maternal lineages found in Serbians may be associated with the genetic impact of both autochthonous pre-Slavic Balkan populations whose mtDNA gene pool was affected by migrations of various populations over time (e.g. Bronze Age pastoralists) and Slavic and Germanic newcomers in the early Middle Ages.
DOI: 10.6084/m9.figshare.9897278.v1
title: Supplementary Material for: HER2 Regulates Cancer Stem Cell Activities via the Wnt Signaling Pathway in Gastric Cancer Cells

description: <b><i>Introduction:</i></b> Human epidermal growth factor 2 (<i>HER2</i>) gene overexpression in breast carcinoma cell lines has been shown to drive mammary carcinogenesis and tumor growth and invasion through its effects on mammary stem cells. <b><i>Objective:</i></b> Therefore, we investigated the mechanism by which HER2 regulates cancer stem cell (CSC) activity in gastric cancer cells. <b><i>Methods:</i></b> <i>HER2</i> was transfected into MKN28 gastric cancer cells, and its role in regulating CSC activity was determined by characterizing the HER2-overexpressing cells. <b><i>Results:</i></b> The sphere formation assay revealed that the sphere sizes and frequency of sphere formation were significantly greater for the HER2-overexpressing cells than for the MKN28 control cells. The CSC markers Oct-4 and BMI1 were more highly expressed in the HER2-overexpressing cells, as were the EMT markers. This was accompanied by a significant enhancement in cellular invasion of the Matrigel and migration. The E-cadherin level was significantly downregulated, and the mesenchymal marker Snail upregulated, in the <i>HER2</i>-transfected cells. HER2 overexpression activated the well-characterized CSC-associated Wnt/β-catenin signaling pathway, as shown by the luciferase assay. After treatment of these cells with the Wnt signal inhibitor PRI-724, the BMI1 and Oct-4 levels were decreased for 24 h and Snail was also downregulated. Immunofluorescence staining revealed the significant restoration of E-cadherin levels in the <i>HER2</i>-transfected cells after PRI-724 treatment. <b><i>Conclusions:</i></b> These results established a role for HER2 in regulating gastric CSC activity, with Wnt/β-catenin signaling being mediated via a HER2-dependent pathway. In summary, HER2-overexpressing gastric cancer cells exhibited increased stemness and invasiveness and were regulated by Wnt/β-catenin signaling.
DOI: 10.17632/sx6vyk3kwk
title: Replication for “Pains or Gains: Trade War, Trade Deficit, and Tariff Evasion”

description: This replication file contains all do-files and publicly available datasets necessary to reproduce the datasets and results in Pains or Gains: Trade War, Trade Deficit, and Tariff Evasion.
DOI: 10.6084/m9.figshare.13280252.v5
title: Global offshore wind turbine dataset

description: This dataset including two contents. One part is the global offshore wind turbine dataset constructed by us, which provide geocoded information on global offshore wind turbines (OWTs) derived from Sentinel-1 synthetic aperture radar (SAR) time-series images from 2015 to 2019. It identified 6,924 wind turbines comprising of more than 10 nations. Data is available at 10 m spatial resolution, providing an explicit dataset for planning, monitoring, and managing marine space. The global OWTs are stored in Shapefile (.shp) format. The attributes and metadata are organized with referenced to the WGS84 datum, and each record consists of seven attributes: centroid latitude (centr_lat), centroid longitude (centr_lon), continent, country, sea area (sea_area), appearance year (occ_year) and month (occ_month).Another part is the validation set we generated that consisted of 50 random offshore wind farms, covering 2,663 wind turbines using three methods. Reference data include (1) the high-resolution aerial imagery and Google images, (2) the comparison and corroboration across multiple source datasets, and (3) a comprehensive visual examination and an extensive internal review by the authors using Sentinel 2-MSI data or Landsat 8-OLI imagery under true colour composition and Sentinel 1 data after floating or temporarily mobile object removal. The validation set is stored in the Shapefile (.shp) format for each wind farm. The attributes and metadata are organized with referenced to the WGS84 datum, and each record consists of three attributes: centroid latitude (centr_lat), centroid longitude (centr_lon) and country. Besides, one of the reference data, Sentinel 1 data after floating or temporarily mobile object removal, were attached.
DOI: 10.6084/m9.figshare.14632584.v1
title: Spatial planning for restoration in Cerrado: balancing the trade-offs between conservation and agriculture

description: This dataset consists of 29 rasters files in GeoTiff format with a resolution of 250m, and 2 Shape files, one for the Cerrado biome and other for Basaltos do Paraná ecoregion. This data was used for modelling priority areas for restoration in Cerrado. Details of methodology are in the read me file.The raster data description details follows:rios.tif: binary raster file (0 and 1) containing the 200m buffer around water courses in cerrado.mask.tif: raster containing the pasture areas in the Cerrado biome used as mask in the analysis.pal_riq.tif: palm trees species richness distribution in Cerrado.pal_ame.tif: distribution of endangered palm trees species in cerrado.len_riq.tif: woody plants species richness distribution in Cerrado.len_ame.tif: distribution of endangered woody plants in Cerrado.gram_riq.tif: grasses species richness distribution in Cerrado.gram_ame.tif: distribution of endangered grasses in Cerrado.herb_riq.tif: herbaceous plants species richness distribution in Cerrado.herb_ame.tif: distribution of endangered herbaceous plants in Cerrado.anf_riq.tif: amphibians species richness distribution in Cerrado.anf_ame.tif: distribution of endangered amphibians in Cerrado.rep_riq.tif: reptiles species richness distribution in Cerrado.rep_ame.tif: distribution of endangered reptiles in Cerrado.aves_riq.tif: birds species richness distribution in Cerrado.aves_ame.tif: distribution of endangered birds in Cerrado.mam_riq.tif: mammals species richness distribution in Cerrado.mam_ame.tif: distribution of endangered mammals in Cerrado.pot_past.tif: potential of natural regeneration of pastures in Cerrado.bal_hidr.tif: water yield distribution in cerrado.carbon.tif: past carbon stock in vegetation.<br>
DOI: 10.6084/m9.figshare.14785074.v1
title: Gouge et al_Biomass procurement

description: Dataset associated with the manuscript: "Biomass procurement in boreal forests affected by spruce budworm: Effects on regeneration, costs and carbon balance" by Daniel Gouge, Evelyne Thiffault and Nelson Thiffault, submitted to Canadian Journal of Forest Research<b></b>
DOI: 10.6084/m9.figshare.21639770.v2
title: Impact of the paradigm shift in corporate social responsibility from voluntary to mandatory on corporate financial performance

description: To get a complete picture of CSR disclosure in the form of statements within the aforementioned four dimensions, a thorough CSR disclosure checklist is created. Each statement's disclosing value is divided into three categories: quantitative disclosure, qualitative disclosure, and non-disclosure. The current investigation was conducted over a period of three years, from 2014 to 2016. This time frame was selected because the Companies Act underwent a significant modification in 2013 to require businesses to fulfil their social responsibility obligations. A sample of 81 firms listed on the Indian Bombay Stock Exchange is chosen for the study.
DOI: 10.6084/m9.figshare.25226360.v2
title: HVSMR-2.0 (orig)

description: <b>HVSMR-2.0: A 3D cardiovascular MR dataset for whole-heart segmentation in congenital heart disease</b>Patients with congenital heart disease often have cardiac anatomy that deviates significantly from normal, frequently requiring multiple heart surgeries. Image segmentation from a preoperative cardiovascular magnetic resonance (CMR) scan would enable creation of patient-specific 3D surface models of the heart, which have potential to improve surgical planning, enable surgical simulation, and allow automatic computation of quantitative metrics of heart function. However, there is no publicly available CMR dataset for whole-heart segmentation in patients with congenital heart disease. Here, we release the HVSMR-2.0 dataset, comprising 60 CMR scans alongside manual segmentation masks of the 4 cardiac chambers and 4 great vessels. The images showcase a wide range of heart defects and prior surgical interventions. The dataset also includes masks of required and optional extents of the great vessels, enabling fairer comparisons across algorithms. Detailed diagnoses for each subject are also provided. By releasing HVSMR-2.0, we aim to encourage development of robust segmentation algorithms and clinically relevant tools for congenital heart disease.<i>orig</i>: CMR images <i>pat#_orig.nii.gz</i> manually cropped at the chin, with original spacing and no normalization, with corresponding whole-heart segmentations <i>pat#_orig_seg.nii.gz</i> and endpoints files <i>pat#_orig_seg_endpoints.nii.gz</i>.
DOI: 10.6084/m9.figshare.28191746.v1
title: Bond ST et al Nat Commun 2025 (Metabolomics Files)

description: During mitochondrial damage, information is relayed between the mitochondria and nucleus to coordinate precise responses to preserve cellular health. One such pathway is the mitochondrial integrated stress response (mtISR), which is known to be activated by mitochondrial DNA (mtDNA) damage. However, the causal molecular signals responsible for this activation remain mostly unknown. A gene often associated with mtDNA mutations/deletions is <i>Polg1</i>, which encodes the mitochondrial DNA Polymerase γ (PolG). Here, we describe an inducible, tissue specific model of PolG mutation, which in muscle specific animals leads to rapid development of mitochondrial dysfunction and muscular degeneration in male animals from ~5 months of age. Detailed molecular profiling demonstrated robust activation of the mtISR in muscles from these animals. This was accompanied by striking alterations to enzymes in the mitochondrial folate cycle that was likely driven by a specific depletion in the folate cycle metabolite 5,10 methenyl-THF, strongly implying imbalanced folate intermediates as a previously unrecognised pathology linking the mtISR and mitochondrial disease.
DOI: 10.6084/m9.figshare.7201232.v1
title: PPTC PDX segmentation file

description: Data deposited here have origins through the National Cancer Institute Pediatric Preclinical Testing Consortion (NCI PPTC) and Alex's Lemonade Stand Foundation.
DOI: 10.17632/fn822wzz2p
title: Data for: Pollen reconstruction of the middle Holocene maximum summer monsoon in northern China and climate dynamics
DOI: 10.17632/hz7dyc489v
title: VTAnDeM: A python toolkit for simultaneously visualizing phase stability, defect energetics, and carrier concentrations of materials

description: Phase stability, defect formation energies, and carrier concentrations are closely interrelated features of semiconductors. Due to their joint dependence on the multidimensional chemical potential space, it is challenging to quantitatively establish patterns between these quantities in a given semiconductor, especially when the semiconductor is comprised of multiple elements. To enable synchronous visualization and analysis of these complementary material properties and their interdependence, we developed the Visualization Toolkit for Analyzing Defects in Materials (VTAnDeM). This python-based toolkit allows users to interactively explore how defect formation energies and carrier concentrations vary across the composition and chemical potential spaces of multicomponent semiconductors. Here, we illustrate the computational workflow that employs VTAnDeM as a post-processing tool for first-principles calculations and describe the data organization and theory underlying the visualization scheme. We believe that this software will serve as a useful tool for simultaneously visualizing the often complex and non-intuitive chemical potential – defect – carrier concentration phase space of semiconductors.
DOI: 10.6084/m9.figshare.23566149.v1
title: <strong>W</strong><strong>ater management in northwest of Mexico</strong>

description: National Census of Municipal Governments and Territorial Demarcations of Mexico City in 2019 (Census) data about the statistical and geographic information on the management and performance of the institutions that make up the Public Administration of each municipality with respect to drinking water and sanitation functions for the years 2017, 2018, and 2019. The information is related to the drinking water service from the public network, water collection for public supply, drinking water plants, and administration. The dataset covers 109 municipalities from the Baja California peninsula and the Pacific coast in the Northwest region of Mexico, representing 90.83% of all municipalities. Due to missing data, 11 municipalities were eliminated from the dataset.