cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.22747928.v1
title: Integrated range maps for North American butterflies derived from expert opinion and relative predicted habitat suitability

description: Integrated range maps were created by combining expert opinion, in the form of polygons from expert field guides (Glassberg 2017, 2018), with relative predicted habitat suitability from MaxEnt models using data from the Global Biodiversity Information Facility (GBIF) records. For species with limited point occurrence records, we used pseudo-presence points within the expert range. With these resulting integrated range maps, we calculated an estimated range for each species by clipping their range rasters to only cells with predicted suitability &gt;0.20 and converting the remaining cells to a smoothed polygon. We then generated a 'butterfly environment index' which is the mean relative predicted habitat suitability for all species whose ranges encompass a site (i.e. it is the mean suitability of a site for species that may be expected to occur there). 
The integrated range maps were generated to support projects investigating macroscale patterns in butterfly biodiversity in North America, or for species-specific projects that require spatial information for focal species (e.g. where they are likely to occur, estimated extent of occurrence, etc.). The data could also be used for prioritizing regions that may be home to a high diversity of species, or are good habitat for the species that occur within a region. The integrated ranges should be treated as estimates of species distributions, rather than absolute cutoffs in range. The raster values should not be interpreted as probability of occurrence, but rather as relative predicted suitability which also incorporates distance from the expert range to reduce the influence of potentially spurious observations.
<br>
<strong>File list</strong>
<em>README.xml</em> - metadata for all species integrated range maps
<em>integrated-ranges.zip</em> - a compressed folder containing all 750 integrated range maps, including those generated with pseudo-presence points, as rasters in .tiff format
<em>species_richness.tif</em> - a raster of estimated species richness generated by overlaying polygons created at the 0.20 threshold as described in the associated manuscript
<em>continental-BEI.tiff</em> - a raster of estimated relative predicted habitat suitability where values are inclusive of all 750 species (i.e. including species that are not expected to occur in a region) as described in the associated manuscript
<em>local-BEI.tiff </em>- a raster of estimated relative predicted habitat suitability for species that are expected to occur locally (i.e. only including species that <em>are</em> expected to occur in a region) as described in the associated manuscript
DOI: 10.6084/m9.figshare.24454777.v1
title: The speed of news in Twitter (X) versus radio - data

description: Replication data for the paper “The speed of news in Twitter (X) versus radio”. If you use these datasets in a published work, please cite our paper!The dataset contains the following files:Tweet IDs:auto-elite-tweet-ids.csv.gz: Tweet IDs for automatically detected event analysis, elite usersauto-firehose-tweet-ids.csv.gz: Tweet IDs for automatically detected event analysis, firehosemanual-elite-tweet-ids.csv.gz: Tweet IDs for manually detected even analysis, elite usersmanual-firehose-tweet-ids.csv.gz: Tweet IDs for manually detected even analysis, firehoseManually detected events data:manual-radio-raw.csv.gz: Item-level information for radio speaker turns used in manually detected event analysismanual-radio-ticks.csv: Radio “tick” data for manually detected event analysis (i.e., counts of keyword mentions by 15-minute bin)Automatically detected events item-level data:auto-radio-sample.csv.gz: Item-level information for radio speaker turns used in automatically detected event analysisAutomatically detected events story-level data:auto-radio-story-stats.csv: Statistics about automatically detected eventsauto-radio-story-selected.csv: Selected events after filtering out non-news eventsauto-radio-story-stats-con.csv: Statistics about automatically detected events as restricted to conservativesauto-radio-story-stats-lib.csv: Statistics about automatically detected events as restricted to liberalsauto-radio-story-cdfs.npy.gz: Empirical CDFs for automatically detected eventsauto-radio-story-cdfs-con.npy.gz: Empirical CDFs for automatically detected events as restricted to conservativesauto-radio-story-cdfs-lib.npy.gz: Empirical CDFs for automatically detected events as restricted to liberals<br>
DOI: 10.6084/m9.figshare.28451063.v1
title: Supplementary Material for: TXK Functional Variants Contribute to Asthma by Regulating Th1 and Th17 Cytokine Pathways

description: Introduction
TXK is involved in the regulation of IFN-γ expression and T helper (Th)1 cell-mediated inflammation that underlies the development of neutrophilic asthma, however, its implication in asthma pathogenesis remains uncertain. This study aims to characterize the functional role of TXK single nucleotide polymorphism (SNP) contributing to asthma.
Methods
This study belongs to a part of an ongoing Singapore/Malaysia cross-sectional genetics and epidemiological study (SMCSGES). Associations of TXK transcript expression with asthma phenotype, the transcript expression of IFN-γ and IL23A, and SNP genotype were assessed in peripheral blood mononuclear cell (PBMC) samples from n=658 individuals of the SMCSGES sub-cohort. Genetic associations of TXK SNPs with asthma were assessed in a case-control cohort of n=2407 individuals from the SMCSGES population. Functional effects of asthma-associated SNPs on TXK promoter activity were evaluated by in vitro promoter luciferase assay in THP-1 cells.
Results
We identified significant associations of upregulated TXK transcript expression with increased asthma risk (p&lt;0.05) and the increased transcript expressions of both IFN-γ (p&lt;0.0001) and IL23A (p&lt;0.0001) in PBMC. A significant association between tag-SNP rs2661532 and TXK transcript expression was detected in PBMC: the allele “T” was significantly associated with a higher TXK expression than allele “C” (false discovery rate-adjusted p&lt;0.05). The major allele “T” of rs2661532 is also significantly associated with a higher risk of asthma (p=0.0346, odds ratio=1.171, 95% confidence interval=1.011-1.357). The in vitro promoter luciferase assay showed the major alleles of rs6819804 and rs74513879 (tagged by rs2661532) are significantly associated with higher TXK promoter activity (p&lt;0.05).
Conclusion
This study identified multiple TXK functional variants associated with asthma by regulating the transcript expression of TXK and downstream Th1 and Th17 cell-mediated inflammatory pathways. Our findings indicated the potential involvement of TXK functional variants in the development of neutrophilic asthma.
DOI: 10.17632/3drdhrxjm7
title: Benign and Malicious JavaScript Dataset

description: The URLs are sourced from benchmarks containing both malicious and benign JavaScript. Benign URLs are sourced from the Alexa Top sites, while malicious URLs are obtained from the PhishTank database, which includes verified phishing pages. Malicious JavaScript samples are extracted from PhishTank and GeeksOnSecurity-GitHub. Additionally, samples of malicious JavaScript are collected from HynekPetrak/malware-jail. The dataset comprises 77 features extracted from both benign (taken from Alexa Top sites) and malicious samples (collected from PhishTank, GeeksOnSecurity-GitHub and HynekPetrak/malwarejail). It is in SVMlight (.svm) format and includes 4,500 benign JavaScript samples and 2,225 malicious JavaScript samples, totaling 6,725 samples.
 JavaScript Features used:
DOI: 10.17632/tv3b2bt6dy
title: Optic disc segmentation(ROP)

description: Optic disc segmentation(ROP). The data are free only for academic purpose. Any published work which has used the data, please cite the article below: Wang J, Ji J, Zhang M, Lin JW, Zhang G, Gong W, Cen LP, Lu Y, Huang X, Huang D, et al. Automated Explainable Multidimensional Deep Learning Platform of Retinal Images for Retinopathy of Prematurity Screening. JAMA Netw Open, 2021;4(5):e218758. doi:10.1001/jamanetworkopen.
DOI: 10.6084/m9.figshare.10303928.v1
title: Optimization of Protoplast Preparation and Regeneration of a Medicinal Fungus <i>Antrodia cinnamomea</i>

description: <i>Antrodia cinnamomea</i> is a unique medicinal fungus in Taiwan. It has been found rich in some pharmacologically active compounds for anti-cancer, hangover, and immune regulation etc. With the in-depth study of these components, it would be interesting and important to establish a molecular system for basic studies of <i>A. cinnamomea</i>. Thus, we would like to set up a foundation for this purpose by studying the <i>A. cinnamomea</i> protoplast preparation and regeneration. Firstly, we studied the optimization method of protoplast preparation of <i>A. cinnamomea</i>, and found various factors that may affect the yield during protoplast preparation, such as mycelial ages, pH values, and osmotic stabilizers. Secondly, in the regeneration of protoplasts, we explored the effects of various conditions on the regeneration of protoplasts, including different media and osmotic pressure. In addition, we found that citrate buffer with pH value around 3 dramatically increased the regeneration of protoplasts of <i>A. cinnamomea</i>, and provided a set of regeneration methodology for <i>A. cinnamomea</i>.
DOI: 10.6084/m9.figshare.14338613.v2
title: Well log

description: A3 well contains DEN, GR, and porosity. ZJ11 and LX1 are training set and test set, respectively.
DOI: 10.6084/m9.figshare.22691089.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.26788072.v1
title: All-solid-state batteries designed for operation under extreme cold conditions

description: A pressing need for enhancing lithium-ion battery (LIB) performance exists, particularly in ensuring reliable operation under extreme cold conditions. All-solid-state batteries (ASSBs) offer a promising solution to the challenges posed by conventional LIBs with liquid electrolytes in low-temperature environments. In this study, leveraging the benefits of amorphous solid-state electrolytes (SSEs) xLi3N-TaCl5 (1 ≤ 3x ≤ 2), we have developed ASSBs capable of functioning effectively under extreme cold conditions. The designed ASSBs, employing LiCoO2 cathode with a loading capacity of 4.46 mg cm‒2 and a Li-In anode, demonstrate remarkably high discharge capacities of 183.19, 164.8 and 143.78 mAh g‒1 at ‒10, ‒30, and ‒40 ℃, respectively, and exhibit a discharge capacity of 137.6 mAh g‒1 at 0.1 C and ‒30 ℃ in the 100th cycle. Moreover, the ASSBs represent a milestone by demonstrating stable charging and discharging at ‒60 ℃ for over 200 h, marking an advancement in low-temperature battery technology and application.
DOI: 10.6084/m9.figshare.28612253.v3
title: Supplement. 1, - CDS of Mammals' TLR7 Aligned and Translated as Amino Acids

description: CDS of mammal TLR7 Sequences collected using TBLASTN on NCBI. Aliview used to align and translate sequences.
DOI: 10.6084/m9.figshare.28956344.v1
title: M_DATA2

description: this paper generated a challenging two-dimensional imbalanced dataset M_DATA2 based on the normal distribution. Its scatter plot is shown in Figure 1. The dataset has a sample size of 1000, 2 feature variables, and the ratio between the number of samples in the two classes is 1:4. Among them, the samples of the minority class are divided into four parts by the majorityclasssamples, and there is a certain mixed area, which makes it difficult for the GNB classifier to classify effectivel
DOI: 10.17632/wbvtd6ykfg
title: Replication package for "Tickets to the Global Market: First US Patent Award and Chinese Firm Exports"

description: This is the replication package for the manuscript "Tickets to the Global Market: First US Patent Award and Chinese Firm Exports" on the Journal of International Economics.
DOI: 10.17632/z8k9fppc4v
title: Data for: Pass-through of oil supply shocks to domestic gasoline prices: evidence from daily data

description: data set for the paper submitted to Energy Economics.
DOI: 10.6084/m9.figshare.16418271.v1
title: How Pivoting to Remote and Online Teaching Impacted BME Students Engagement

description: The data is from a survey with 14 questions made via Qualtrics Survey Software to understand the impact of Pivoting to Remote and Online Teaching during COVID-19 pandemic on BME Students Engagement<b></b>
DOI: 10.6084/m9.figshare.24088407.v1
title: Data accompanying the manuscript The silence of the LLMs: Cross-lingual analysis of guardrail-related political bias and false information prevalence in ChatGPT, Google Bard (Gemini), and Bing Chat

description: The dataset of the queries and chatbot responses for the paper The silence of the LLMs: Cross-lingual analysis of guardrail-related political bias and false information prevalence in ChatGPT, Google Bard (Gemini), and Bing Chat
DOI: 10.6084/m9.figshare.25634115.v2
title: A paired dataset of multi-modal MRI at 3 Tesla and 7 Tesla with manual hippocampal subfield segmentations on 7T T2-weighted images

description: We disseminate a dataset comprising paired 3T and 7T MRI scans from 20 healthy volunteers, with manual hippocampal subfield annotations on 7T T2-weighted images. This dataset is designed to support the development and evaluation of both 3T-to-7T MR image synthesis models and automated hippocampal segmentation algorithms on 3T images. We assessed the image quality using MRIQC. The dataset is freely accessible on IEEE DataPort, a data repository created by IEEE and can be found at the following URL: https://ieeexplore.ieee.org/document/10218394/algorithms?tabFilter=dataset. The shared dataset comprises four principal directories.The first directory contains raw MRI data in <i>.ima</i> format within <i>rawdata_DICOM</i>. Additionally, the acquired MRI scans were converted from DICOM to the Neuroimaging Informatics Technology Initiative (NIfTI) format and organized in accordance with the Brain Imaging Data Structure (BIDS) format by employing the BIDScoin Python application (version 4.3.0) and stored in <i>rawdata_BIDS</i> directory.The third directory pertains to hippocampal subfield segmentation and includes two subdirectories: '<i>hippo_subfield\7T_T2w_0.7_for_subfield_delineation</i>', featuring 7T T2w MRI data downsampled to a 0.7 mm slice thickness through B-spline interpolation, post Gaussian smoothing denoising and N4 bias field correction using Advanced Normalization Tools (ANTs); and <i>'hippo_subfield\hippo_label</i>', which contains the manual segmentation labels for hippocampal subregions for each subject. The fourth directory,<i> \MRIQC</i>, designated for the results of quality control assessments. For each participant, the<i> \MRIQC </i>directories contain <i>\anat</i> and <i>\func</i> subdirectories, which hold image quality metric reports for T1w, T2w, and resting-state functional scans. These quality metrics, available in both <i>.html</i> and <i>.json</i> formats, aid in evaluating data quality and provide estimates of motion, signal-to-noise ratios, and intensity non-uniformities, supplemented with visual reports.It is noteworthy that, due to detectable head motion during the original scans, the 3T T2w images for two participants were subject to rescanning. Subsequently, only the datasets from these supplementary sessions have been preserved within the <i>rawdata\BIDS</i> directory for further quality evaluation. Additionally, Diffusion Weighted Imaging (DWI) sequences included in the <i>rawdata\DICOM</i> directory for 3T MRI were not matched with 7T MRI sequences and, thus, are excluded from the BIDS-formatted shared dataset.<br>
DOI: 10.6084/m9.figshare.3553488.v1
title: Appendix B. Interactive effect of warming and predation during winter.

description: Interactive effect of warming and predation during winter.
DOI: 10.6084/m9.figshare.4214283.v5
title: UMAFall: Fall Detection Dataset (Universidad de Malaga)

description: The files contain the mobility traces generated by a group of 17 experimental subjects that emulated a set of predetermined ADL (Activities of Daily Life) and falls. The traces are aimed at evaluating fall detection algorithms.Several video clips describing the performed movements are also included.If you utilize these data, plese cite the paper:*Casilari, E., Santoyo-Ramón, J. A., & Cano-García, J. M. (2016). Analysis of a smartphone-based architecture with multiple mobility sensors for fall detection. <i>PLoS one</i>, <i>11</i>(12), e0168069.<br>http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0168069<br>
DOI: 10.6084/m9.figshare.5234119.v1
title: MIPS activity upload.xls

description: Fig. 3BCells expressing the His-Xpress tagged MIPS were grown in SC medium to the early stationary phase. Enzymatic activity of MIPS protein purified from cell extracts was determined.<br>
DOI: 10.6084/m9.figshare.8048183.v1
title: simulated datasets used in the supplement (small group size)

description: Simulated datasets used in the supplement with small group size of 10, log-scale noise levels and zero proportions.<br>The settings are reflected in the title of the data:(1) small: group size = 10; (2) 0.5, 1, 1.5: the log-scale noise level(3) 0.3, 0.4, 0.5: the extra zero proportion(4) The last number is the index of replicates. There are 50 replicates for each setting<br>
DOI: 10.6084/m9.figshare.28046138.v1
title: FTIRM data, .tab

description: FTIRM data
DOI: 10.6084/m9.figshare.6151568.v1
title: Fracture Modes of AISI Type 302 Stainless Steel Under Metastable Plastic Deformation

description: Martensitic transformation can be induced by plastic deformation in metastable iron-based alloys, such as stainless steels containing limited amounts of C, Ni and Cr. This transformation takes place at the temperature range from Ms and Md, usually at relatively lower temperature values. The transformed martensite has been associated with maximum ultimate strength and relatively high ductility. In the present work, the tensile fracture characteristics of a metastable AISI type 302 stainless steel was properties were compared to those of a stable AISI type 310 austenitic stainless steel. It was found that in 302 steel, its high degree of metastability and dilute dispersion of inclusions result in higher strength and complex modes of fracture, one of which consisting of martensite surrounding globular inclusions.
DOI: 10.17632/56nfs5hx9j
title: Hourly Steel Industry Energy Consumption Dataset

description: DAEWOO steel industry energy consumption data is used in this study. Data used include lagging and leading current reactive power, lagging and leading current power factor, carbon dioxide (tCO2) emission, and load types.
DOI: 10.4121/19500368.v1
title: Data relating to Fuel-Driven Macromolecular Coacervation in Complex Coacervate Core Micelles

description: In this work a chemical reaction network (CRN) is used to drive the coacervation of macromolecular species. The CRN enables transient quaternization of tertiary amine substrates, driven by the conversion of electron deficient allyl acetates and thiol or amine nucleophiles. By incorporating tertiary amine functionality into block copolymers, we demonstrate chemical triggered complex coacervate core micelle (C3M) assembly and disassembly. In contrast to most dynamic coacervate systems, this CRN operates at constant physiological pH without the need for complex biomolecules. By varying the allyl acetate fuel, deactivating nucleophile and reagent ratios, we achieved both sequential signal-induced C3M (dis)assembly, as well as transient non-equilibrium (dis)assembly.
DOI: 10.6084/m9.figshare.10002125.v1
title: PBMC data for SCelVis

description: IFN-beta treated and control PBMCs from 8 donors<br><br>two groups of PBMCs from Kang et al. 2017 (https://www.nature.com/articles/nbt.4042), analyzed using the Seurat sample alignment strategy as explained in the tutorial at https://satijalab.org/seurat/v2.4/immune_alignment.html and then converted to h5ad format<br><br>* ~14000 cells<br>* IFN-treated and unstimulated PBMCs from 8 donors<br>* donor identities determined using demuxlet (see GSE96583)
DOI: 10.6084/m9.figshare.13499286.v1
title: BOTDA data

description: BOTDA data measured with different applied strain. Data for 5 dB and 10 dB SNR <br>
DOI: 10.6084/m9.figshare.18480848.v1
title: Spruce-fir plot data with topographic and climate information

description: Relative occurrence, abundance, and density by location and species.
DOI: 10.6084/m9.figshare.22639438.v1
title: Reptile Database data dump 2020-04

description: Please cite Uetz, P., Freed, P, Aguilar, R., Reyes, F. & Hošek, J. (eds.) (2020) The Reptile Database, http://www.reptile-database.org, accessed May 2020 (or later, but not later than the next version, which was released in August 2020). <br> For details see http://www.reptile-database.org <br> For most recent releases, please contact Peter Uetz
DOI: 10.6084/m9.figshare.25234915.v6
title: Data

description: Data for reproducing results and figures from <i>Decoding the Microbiome-Metabolome Nexus: A Systematic Benchmark of Integrative Strategies </i>https://doi.org/10.1101/2024.01.26.577441
DOI: 10.6084/m9.figshare.9641999.v2
title: Dataset and R Codes Nisa et al. 2019 NComms

description: Presents the results of randomized controlled trials testing behavioral interventions to promote household action on climate change, and the R Codes that can be used to analyze the data
DOI: 10.17632/f46zt2g83x
title: PaveDistress: A comprehensive dataset of pavement distresses detection

description: The PaveDistress dataset is a high-quality collection of road surface images designed for non-destructive detection of pavement distresses like cracks, patches, and potholes. Captured using a specialized inspection vehicle, the images were taken along the S315 highway in China, covering diverse lighting conditions and real-world scenarios such as shadows, oil stains, and debris. Each image has a resolution of 3854 × 2065 pixels, representing an actual road coverage area of 3.9m × 2.1m. The dataset is organized into categories including cracks (transverse, longitudinal, and map cracks), patches, potholes, and background images without defects. This dataset supports the development of deep learning models for detecting, classifying, and segmenting road distresses, contributing to improved automation in pavement maintenance systems. Its diverse and representative content makes it valuable for research in civil engineering, enabling machine learning applications for road monitoring and condition assessment. Researchers can use this dataset to train models for accurate detection, which can be applied in real-world road maintenance operations.
DOI: 10.17632/xmcz7v8xzj
title: LaRHP: Latent-aware Reconstruction via Hypersphere Projection