cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.5082445.v1
title: User Guide: Dense facial tissue depth mapping of 3D CT models using Meshlab

description: This user guide outlines a method for objective, dense facial tissue depth mapping of 3D face and skull STL models generated from computed tomography (CT) scans, in an effort to produce a standardized reference dataset for forensic craniofacial identification applications. Any 3D STL face and skull models that are in correct anatomical orientation to each other can be mapped with this method.<br>The methods described include hollowing and cropping of a face model to obtain a face "shell," mapping the face to the skull, colorizing and saving mapped data, and visualization of mapped data.<br>The purpose of this guide is to provide an objective, standardized method for mapping facial tissue depth values for forensic craniofacial identification applications using free software.<br>We have also attached a zipped fileset of Meshlab scripts (with instructions for installation included in the zip) that will assist with splitting the face and skull maps into 1 mm increments for enhanced visualizations.<br>Images were generated with publicly available de-identified CT scans from The Cancer Imaging Archives (http://www.cancerimagingarchive.net/<b>) (</b>doi: 10.1007/s10278-013-9622-7)<b>.</b><b><br></b>A link to the accompanying manuscript will be provided when published.
DOI: 10.6084/m9.figshare.5838408.v2
title: EIS spectra LFP/Gr 26650CC

description: EIS spectra of a LiFePO4/Graphite 26650 cylindrical cell, at different SOCs (state-of-charge).<br>[Charging mode]Loop 0-8 (from 0% to 100% SOC, increment= 12.5%)<br><br>[Discharging mode]Loop 0-8 (from 100% to 0% SOC, increment= -12.5%)
DOI: 10.17632/2vsf9vb9z7
title: Dataset of "Application of machine learning algorithms in thermal images for an automatic classification of lumbar sympathetic blocks"

description: Dataset with the data of the manuscript "Application of machine learning algorithms in thermal images for an automatic classification of lumbar sympathetic blocks" published in The Journal of Thermal Biology (DOI: 	
https://doi.org/10.1016/j.jtherbio.2023.103523). The dataset contains the 66 predictors extracted used for the machine learning algorithms, 4, 5 and 6 minutes after the injection of a local anaesthetic around the sympathetic ganglia.
DOI: 10.17632/b3hww8ng7w
title: Identification of long-lived proteins in the mitochondria reveals increased stability of the electron transport chain

description: Custom Code from our manuscript published in Developmental Cell for analysis of proteomic datasets, half-life color coding of protein crystal structures and alignment of electron microscopy and MIMS images using MesoFusion Plugin.
DOI: 10.17632/bp5fr5n55p
title: Health Sensor Data

description: A dataset comprising a total of 21 individuals, who volunteered from Netaji Subhas University of Technology previously known as Netaji Subhas Institute of Technology, has been meticulously compiled, with 9 individuals identified as exhibiting Major Depressive Disorder (MDD) based on the outcomes derived from the PHQ-9 Questionnaire. The remaining 12 individuals in the dataset are classified as non-MDD. 
The dataset encompasses diverse sensor data, including temperature measurements, SpO2 readings, pulse rates, and accelerometer data. It is important to note that all data points were collected within a controlled environment, ensuring reliability and consistency throughout the dataset.

Columns
Temperature Reading in degrees Celcius
Pulse Rate Reading in BPM
SPO2 Reading %
X-Axis Accelerometer Reading
DOI: 10.17632/wdmtpnwsrn
title: rbcL Gene in Global Molecular Data Repository

description: The data in this article gives an overview of the total number of plant species, families, with the rbcL gene sequence in the GenBank and the regions that have contributed to the growth of the rbcL sequence in the repository. The sequence data of the rbcL gene are used for the renewal of phylogenies among the seed plants. The rbcL gene is preferred among other plant genes for phylogenetic studies due to its slower rate of evolutionary changes and the lowest divergence among the plastid genes in flowering plants. The gene is suitable for solving intergeneric and interspecific relationships and has no difficulties in alignment. Some of the applications of the gene in the molecular investigations of plant species include: tracing of the molecular origin of plants, the biogeography origin of plants. The datasets used, in the study were collected as secondary data, and the Bio python code written for data collection can be assessed as Supplementary data, the rbcL gene data used was obtained from the first report till 2020.
DOI: 10.6084/m9.figshare.16989220.v1
title: Estimation of charge transfer during long continuing currents in natural downward flashes using single-station E-field measurements

description: Data used for the charge transfer estimations in "Estimation of charge transfer during long continuing currents in natural downward flashes using single-station E-field measurements" <br>
DOI: 10.6084/m9.figshare.23531118.v1
title: MIDOG++ database in SlideRunner sqlite format

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.27133959.v1
title: Data from: Genomic vulnerability to climate change of an Australian migratory freshwater fish, the golden perch (<i>Macquaria ambigua</i>)

description: <b>EnvironmentalData_Current</b><b>.csv</b>Spreadsheet containing 19 bioclimatic variables for the current climate, at each catchment location in the Murray-Darling Basin.<b>Mambigua_MetaData</b><b>.csv</b>Locality information for 1,100 <i>Macquaria ambigua</i> from the Murray-Darling, Lake Eyre, Bulloo-Bancannia, and Fitzroy drainage basins.<b>Mambigua_AllBasins</b><b>.str</b>fastStructure file for 1,098 <i>Macquaria ambigua</i> from all four drainage basins at 9,229 SNPs.<b>Mambigua_AllBasins_Individuals</b><b>.csv</b>Ordered list of individuals in the Mambigua_AllBasins.str file.<b>Mambigua_MDB</b><b>.str</b>fastStructure file for 1,049 <i>Macquaria ambigua</i> from the Murray-Darling Basin at 5,978 SNPs.<b>Mambigua_MDB_Individuals</b><b>.csv</b>Ordered list of individuals in the Mambigua_MDB.str file.<br>
DOI: 10.6084/m9.figshare.28510241.v1
title: OmiDos

description: Integrating single-cell multi-omics data is crucial for understanding the complex regulatory mechanisms governing cellular functions. However, a significant challenge arises from the concurrent existence of shared mechanisms across diverse cellular states and condition-specific features, particularly within dynamic and heterogeneous microenvironments. Most existing integration approaches struggle to effectively distinguish between shared and modality-specific features, leading to misinterpretation of regulatory dynamics. Here, we introduce OmiDos, a novel dynamic orthogonal deep generative model, specifically designed to disentangle shared and unique molecular signatures across multi-omics layers in single-cell multi-omics data. Unlike prior methods that rely on simplistic assumptions about shared features, OmiDos leverages deep transfer learning to extract invariant shared signals from paired data while enforcing orthogonality constraints to separate modality-specific signals into distinct latent spaces. To address unpaired data, OmiDos incorporates an adversarial discriminator combined with noise contrastive estimation. Furthermore, OmiDos features a decoder layer enhanced by a maximum mean discrepancy regularization, enabling robust batch correction across diverse experimental conditions. We benchmark OmiDos against a wide range of multi-omics datasets, demonstrating superior accuracy and robustness in integrating complex, high-dimensional data. In a mouse secondary palate development dataset, OmiDos precisely identified a critical enhancer at the genomic locus chr16: 32697085-32697585, elucidating its essential role in regulating \emph{Muc4} expression. Its activity strongly correlates with the regulatory dynamics observed in E13.5 and E14.5 epithelial cell differentiation and migration. When applied to a medulloblastoma dataset, OmiDos revealed a dynamic regulatory transition, characterized by a shift from predominant reliance on distal regulatory elements during early developmental stages to a marked preference for proximal regulatory elements in advanced tumor stages.
DOI: 10.6084/m9.figshare.c.3662366_d772.v1
title: Full body CT scan of a Sphyrna tudes (ZMA.PISC.106183)

description: This file includes 1064 DICOM files of a male Sphyrna tudes specimen housed in the spirit collection of Naturalis Biodiversity Center, Leiden, the Netherlands with registrationnumber ZMA.PISC.106183. The specimen is scanned in a medical CT scanner (Toshiba Aquilion 64) at the Leiden University Medical Center, the Netherlands at 100 kV and 150 mAs with a slice thickness of 0.5 mm.
DOI: 10.17632/86p998chhx
title: Geophysical Dataset for "Exploring for Groundwater in Sub-Saharan Africa: Insights from Integrated Geophysical Characterization of Weathered Basement Aquifer System, Central Malawi"

description: This folder contains the raw data for the resistivity profiles. Please see the README.txt file in the folder for further details.
DOI: 10.17632/pwcn9k6kst
title: The formula of accent / tone

description: Accent and tone are essential phonetic concepts, exhibiting significant variations across the world's languages and fulfilling distinct functions. In most languages, accent refers to suprasegmental aspects that influence the pronunciation of vowels and consonants, indicating a stressed syllable within a word or phrase, without altering the linguistic meaning of the words. In contrast, in tonal languages such as Chinese, tone is a crucial phonetic feature that can change the meaning of words, generating different interpretations for the same group of sounds. This aspect is often graphically marked by diacritics or numbering, playing a fundamental role in the semantic structure of the language. In certain languages, the functions of tone may be taken over by accent, making accent a significant characteristic in determining meaning.

 Additionally, the formula of the presented algorithm refers to the graphical representation of accent or tone and the associated information, maintaining a constant position in the formula to highlight its function within the sentence.

 This approach can benefit both blind and deaf-mute individuals, improving their access to information and quality of life. Adapting these methods to meet the specific needs of these groups can promote greater inclusion and enhance information accessibility.
DOI: 10.6084/m9.figshare.25721328.v1
title: LC DATA

description: loan dataset from Lending Club Platform.
DOI: 10.6084/m9.figshare.25868302.v1
title: Growth response of twelve Australian rainforest tree species to warming.

description: Here, we tested how growth rates differed in response to increased growth temperature and +3.5°, +7° and +10.5°C warming in seedlings of tropical, subtropical and temperate rainforest trees, using 12 species ( 4 in each group). We examined how changes in biomass allocation, leaf area, and photosynthetic capacity linked to the capacity of these species to maintain their growth rates under warmer temperatures.
DOI: 10.17632/fvb4k3gx5w
title: LINF_170020600

description: Protein name: Protein of unknown function - conserved; Leishmania infantum (strain JPCM5)
DOI: 10.6084/m9.figshare.12671105.v1
title: Harvard_alcohol.csv

description: Derived data set from https://www.icpsr.umich.edu/icpsrweb/HMCA/series/867 from four rounds of the Harvard Public Health Alcohol Study conducted in 1993, 1997, 1999, and 2001 (Wechsler, 1993; Wechsler, 1997; Wechsler, 1999; Wechsler, 2001).
DOI: 10.6084/m9.figshare.28959635.v1
title: AD-PVM

description: Alzheimer's disease and perivascular macrophages
DOI: 10.17632/psgchnr3h7
title: Data for: Data to model the intention to use consumer-generated content for apparel shopping: A partial least squares-structural equation modelling approach (PLS-SEM)

description: Data in brief on intention to use consumer generated content for apparel shopping
DOI: 10.6084/m9.figshare.19224615.v1
title: A radiomics-based machine learning pipeline to distinguish between metastatic and healthy bone using lesion-center-based geometric regions of interest; dataset

description: Please read the README file for more details.<br>`featurespace_metadata.json` includes radiomic features extracted from 1273 spinal lesions (healthy or metastatic) from radiotherapy planning-ct images using single point-based geometrical regions of interest (ROIs).<br>`output` is a folder containing the results of our radiomic-based machine learning pipeline in differentiating between healthy bone (HB) and bone metastases (BM) lesions. The pipeline was trained and tested using several resampling techniques (RS), feature selection methods (FS), and machine learning classifiers (ML) on single-point-based geometric ROIs with various shapes and sizes.
DOI: 10.6084/m9.figshare.28790909.v2
title: Dados retirados do Instagram acerca dos perfis dos periódicos de Acesso Aberto da área de Ciência da Informação

description: Os dados coletados objetivam compreender como periódicos científicos de Acesso Aberto na área da Ciência da Informação, a nível global, utilizam o Instagram como ferramenta de divulgação científica, com foco na presença digital, na gestão dos perfis e nas estratégias de comunicação adotadas. Trata-se de uma pesquisa aplicada, de abordagem quantitativa e objetivo descritivo, na qual foram analisados 198 periódicos indexados na <i>Directory of Open Access Journals</i>. A coleta de dados envolveu a identificação de perfis ativos no Instagram, com a finalidade de mapear a presença institucional e caracterizar os tipos de perfil, bem como os países de origem dos periódicos. Os resultados revelam que apenas 19,20% dos periódicos analisados possuem perfis ativos na plataforma, sendo a maioria composta por contas próprias, geridas diretamente pelos periódicos. Brasil e Estados Unidos se destacam quanto à quantidade de periódicos com presença no Instagram, indicando uma maior adesão à comunicação científica digital nesses países. Os achados sugerem uma apropriação ainda tímida da rede social pelos periódicos da área, destacando a necessidade de estratégias mais eficazes e integradas para potencializar o uso do Instagram como canal de disseminação científica para os periódicos de Acesso Aberto da área de Ciência da Informação.
DOI: 10.6084/m9.figshare.9727895.v1
title: LFP data from Steinmetz et al. 2019

description: <b>Raw LFP data during the recording sessions reported in Steinmetz et al. 2019.</b><br><i>Companion dataset to doi:10.6084/m9.figshare.9598406.</i><br>Each LFP file has 385 channels of int16 data at 2500Hz. They can be loaded directly into software like Neuroscope, and can be read in matlab like:<br>&gt;&gt; fid = fopen('thisfile.bin', 'r');&gt;&gt; dat = fread(fid, [385 Inf], '*int16');&gt;&gt; fclose(fid);<br><br>Note that the file may well be too large to fit into memory so you may not want to read "Inf" samples as in this example.<br>Each file has different start and end times, and there are drifts in the clocks between probes - so the timestamp files, which give the aligned timing information, must be used. These files are located in the companion dataset (with spiking and behavioral data). The aligned timestamps are specified in a particular way: an Nx2 matrix where the first column is sample numbers and the second column is the time in seconds at which those samples occurred. Since LFP was sampled regularly, N=2, just the first and last sample. So, to get the time at which every sample occurred, use this line in matlab:<br>&gt;&gt; tsData = readNPY('...lf.timestamps.npy');&gt;&gt; allTS = interp1(tsData(:,1), tsData(:,2), tsData(1,1):tsData(2,1));<br>That's just linearly interpolating between the times given for the first and last samples.<br>
DOI: 10.17632/rwzhhy9649
title: PPEF2 opposes PINK1-mediated mitochondrial quality control by dephosphorylating ubiquitin. Wall et al.

description: Original western blots and microscopy images used in: https://doi.org/10.1016/j.celrep.2019.10.130
DOI: 10.6084/m9.figshare.11791176.v1
title: Impact of context on implementation fidelity of the ICDM model

description: Interviews with healthcare workers on their perceptions of factors that affect implementation fidelity of the integrated chronic disease management model
DOI: 10.6084/m9.figshare.14270026.v1
title: Sacred dance and quality of life in women mastectomy: a pilot study

description: This interventional study evaluated the life quality of women who underwent mastectomy that participated in the study and in the control group carried out before and after the application of sacred dance. The World Health Organization Quality of Life-BREF version was applied as well as other demographics questionnaires. Statistical analysis revealed significant differences after the intervention as for the study group in what psychological, physical and environmental perspectives are concerned. The sacred dance has provided benefits and changes in life quality of women in the study group. The results of this study may encourage health professionals to carry on alternative forms of care.
DOI: 10.6084/m9.figshare.14315111.v1
title: Supplementary Material for: Developing Brain Glucose Transporters, Serotonin, Serotonin Transporter, and Oxytocin Receptor Expression in Response to Early-Life Hypocaloric and Hypercaloric Dietary, and Air Pollutant Exposures

description: Perturbed maternal diet and prenatal exposure to air pollution (AP) affect the fetal brain, predisposing to postnatal neurobehavioral disorders. Glucose transporters (GLUTs) are key in fueling neurotransmission; deficiency of the neuronal isoform GLUT3 culminates in autism spectrum disorders. Along with the different neurotransmitters, serotonin (5-HT) and oxytocin (OXT) are critical for the development of neural connectivity. Serotonin transporter (SERT) modulates synaptic 5-HT levels, while the OXT receptor (OXTR) mediates OXT action. We hypothesized that perturbed brain GLUT1/GLUT3 regulated 5-HT-SERT imbalance, which serves as a contributing factor to postnatal neuropsychiatric phenotypes, with OXT/OXTR providing a counterbalance. Employing maternal diet restriction (intrauterine growth restriction [IUGR]), high-fat (HF) dietary modifications, and prenatal exposure to simulated AP, fetal (E19) murine brain 5-HT was assessed by ELISA with SERT and OXTR being localized by immunohistochemistry and measured by quantitative Western blot analysis. IUGR with lower head weights led to a 48% reduction in male and female fetal brain GLUT3 with no change in GLUT1, when compared to age- and sex-matched controls, with no significant change in OXTR. In addition, a ∼50% (<i>p</i> = 0.005) decrease in 5-HT and SERT concentrations was displayed in fetal IUGR brains. In contrast, despite emergence of microcephaly, exposure to a maternal HF diet or AP caused no significant changes. We conclude that in the IUGR during fetal brain development, reduced GLUT3 is associated with an imbalanced 5-HT-SERT axis. We speculate that these early changes may set the stage for altering the 5HT-SERT neural axis with postnatal emergence of associated neurodevelopmental disorders.
DOI: 10.6084/m9.figshare.22581718.v1
title: Vehicle stocks 1978-2020

description: 144,910 records are weight in total and by 10 types of materials embodied in vehicles in 337 cities from 1978 to 2020
DOI: 10.6084/m9.figshare.5280229.v3
title: SQLite database of variants in Collaborative Cross founder mouse strains

description: A SQLite database with two tables: "description" and "variants". The description table includes URLs for the source files. The "variants" table contains the data, including the fields snp_id, chr (1-19, X, Y, MT), pos (in basepairs, GRCm38/mm10 build), alleles (major and minor alleles), sdp (strain distribution pattern, used by R/qtl2), ensembl_gene, consequence, the 8 founders' genotypes (as numeric codes with 1 = major allele), and type (snp/indel/SV). The ensembl_gene field may contain multiple comma-separated values. The consequence field may also contain multiple comma-separated values, and each has the form "gene:consequence".<br><br>The script used to create it is at GitHub.<br>
DOI: 10.6084/m9.figshare.3168529.v2
title: Tweet geolocation 5m

description: Tweet-geolocation-5m is a dataset with more than 5 million geolocated tweets with detailed geolocation information associated. Each geolocated tweet is associated with its fine-grained location information, collected from OpenStreetMap [1] using the reverse geocoding feature in Nominatim [2]. It was originally created for country-level classification of tweets, but finer-grained classification is also provided with the dataset. The country codes are provided using the ISO 3166-1 alpha-2 standard [3].<br>The dataset was collected in two different week long periods: TC2014, collected in October 2014, and TC2015, collected in October 2015.<br>Two files are provided here:* tweet-geolocation-5m.tar.bz2, which is the actual datasets, providing the tweet IDs and ground truth country IDs that enable conducting further experiments.* vectors-and-folds.tar.bz2, which is provided for the purposes of reproducibility. With the information provided in this file, you should be able to reproduce the results we presented in the paper.
DOI: 10.6084/m9.figshare.25992553.v1
title: Concatenated nucleotide sequences of PCGs from Cyrenidae mtDNA

description: Concatenated nucleotide sequences of protein-coding genes (PCGs) from Cyrenidae mtDNA, which were used for phylogenetic analysis.
DOI: 10.17632/wvr8kmsxtn
title: Original western blot images of UPF1

description: Original western blot images of UPF1
DOI: 10.4225/03/5acffc60eb649
title: Semantic vector space model and the usage patterns of Indonesian denominal verbs with <i>meN-</i>, <i>meN- -kan</i>, and <i>meN- -i</i> affixes

description: Materials for paper presented at the Twenty-Second International Symposium on Malay/Indonesian Linguistics (ISMIL 22) at the University of California, Los Angeles, USA (11 - 12 May 2018).<br>Please cite as:<br> Rajeg, G. P. W., Denistia, K., & Musgrave, S. (2018, May). <i>Semantic vector space model and the usage patterns of Indonesian denominal verbs with meN-, meN- -kan, and meN- -i affixes</i>. Presented at the Twenty-Second International Symposium on Malay/Indonesian Linguistics (ISMIL 22), The University of California, Los Angeles. https://doi.org/10.4225/03/5acffc60eb649 <br><b>Update</b><br>We have submitted a full-text version of the talk for a special issue on "Linguistic studies using large annotated corpora" to appear in <i>NUSA: Linguistic studies of languages in and around Indonesia</i><i> </i>(co-edited by Hiroki Nomoto and David Moeljadi).