cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.11771226.v1
title: Supplementary_File_1_version 3.docx

description: <b>Association between antenatal depression and SGA (adjusted for interaction effect of the cofounders) and </b><b>Association between EPDS score of cut off 10 and SGA (adjusted for the confounders)</b>
DOI: 10.6084/m9.figshare.7999448.v1
title: Nitrospira MAGs recovered from publicly available metagenomes

description: Nitrospira MAGs recovered from publicly available metagenomes
DOI: 10.17632/32hkvvbcgf
title: Raw data and Supplemental Material of Manuscript "Comprehensive Genetic Analysis and Predictive Evaluation of Milk Electrical Conductivity for Subclinical Mastitis in Chinese Holstein Cows"

description: Raw data and Supplemental Material of Manuscript "Comprehensive Genetic Analysis and Predictive Evaluation of Milk Electrical Conductivity for Subclinical Mastitis in Chinese Holstein Cows"
DOI: 10.17632/7fg8835b4g
title: Dataset Global Fashion Brands - Brand Equity, Ranking, Growth Rate,  COO (2001-2021)

description: Fashion brands appeared in Interbrand’s Top 100 Global Brand list from 2001 to 2021 are included in this dataset. Following fields were extracted from the Interbrand’s annual reports having string values. 	
•	Brand Name 
•	Country of Origin 
•	Region of origin (America, Europe)
•	Industry Sector (Fashion)
•	Industry Sub-sector (Apparel, Cosmetics, Luxury and Sportswear)

Following fields are extracted for each year (2001-2021) having numeric values. 	
•	Brand Ranking
•	Brand Equity (USD billion)
•	Growth in Brand Equity (%)
DOI: 10.17632/8dfrng5hxr
title: Data for a hydro-mechanical phase field model for hydraulic fracturing of grain structure rocks based on Voronoi tessellation

description: This is the dataset associated with the paper titled "A hydro-mechanical phase field model for hydraulic fracturing of grain-structured rocks based on Voronoi tessellation" . The paper is currently under peer review for potential publication in the journal "Rock Mechanics and Rock Engineering." The dataset includes the source code for the Voronoi tessellation post-processing program in MATLAB and the data in figures. The COMSOL source files can be obtained by contacting the first author at xingjq@tongji.edu.cn. The dataset will be updated following the formal publication of the paper, and the latest version in the repository should be considered the most accurate and complete.
DOI: 10.17632/mpgdmp72xz
title: Energy_diversity_green_bonds

description: Data and code for manuscript
DOI: 10.6084/m9.figshare.21076171.v1
title: Atmospheric Methane Growth Rate in 2020

description: 1. WEMs.tar.gz, Wetland methane emissions from 2000 to 2020, by two process-based wetland emission models (WEMs, ORCHIDEE and LPJ-wsl) forced by different climate datasets (CRU, ERA5, MERRA2, MSWEP). <br> 2. LMDZ-INCA_OH.tar.gz, Hydroxyl radical (OH) from 2019 to 2020 simulated by LMDZ-INCA. <br> 3. Atmospheric_methane_3D_inversion_2019-2020_monthly.nc, Global gridded surface methane emissions in 2019 and 2020, by a 3D atmospheric inversion (PYVAR) assimilating surface methane observations from a total of 103 stations. <br> Details of these data, please refer our Nature paper. Shushi Peng, Xin Lin, Rona L. Thompson, Yi Xi, Gang Liu, Didier Hauglustaine, Xin Lan, Benjamin Poulter, Michel Ramonet, Marielle Saunois, Yi Yin, Zhen Zhang, Bo Zheng, Philippe Ciais. Wetland emission and atmospheric sink changes explain methane growth in 2020. <em>Nature</em>, <strong>612</strong>, 477–482 (2022), doi:10.1038/s41586-022-05447-w. <br> Link of paper: https://www.nature.com/articles/s41586-022-05447-w
DOI: 10.6084/m9.figshare.5635141.v1
title: Migration Policy Data Table

description: This table lists all UN member states by categorical data relating to income group, hydrocarbons export, rentierism, and restrictive immigration policies for refugees and asylum seekers.
DOI: 10.17632/399ystp6v6
title: LINF_180005600

description: Protein of unknown function - conserved; Leishmania infantum (strain JPCM5)
DOI: 10.17866/rd.salford.6901475.v4
title: Making Sense Of Sounds: Data for the machine learning challenge 2018

description: These are the datasets for the Making Sense Of Sounds challenge 2018. The Development download contains the following:<br>* Folder 'Development' with 1500 audio files, divided equally into five category subfolders: Music, Human, Nature, Effects, and Urban.<br>* File 'Logsheet_Development.csv, a listing of every file, plus their category, and event type. <br><br><br>The Evaluation download contains the following:<br>* Folder 'Evaluation' with 500 audio files, not further allocated to any subfolders.<br>* File 'Logsheet_Evaluation.csv', a listing of all files in the Evaluation dataset.<br>It should be assumed that all files in this challenge are
provided under the licence CC-BY-NC 4.0 (Creative Commons, Attribution
Noncommercial<sup>1</sup>).
This is the most restrictive licence of any file in the dataset, though some
were also provided under CC0<sup>2</sup> and CC-BY<sup>3</sup>.
A complete listing of the exact licences and author attributions is contained in 'MSoS_challenge_2018_File_credits_Usage_info_v1-00.zip', <br>V4 is the latest version of this repository, making the file 'Logsheet_EvaluationMaster.csv' available for download. This matches the format of 'Logsheet_Development.csv' which accompanies the Development dataset. Together these two logsheet files make it possible to check both the main category and the sound event type for every file in the challenge dataset. <br><br>See the challenge home page for full details about the dataset and challenge results:http://cvssp.org/projects/making_sense_of_sounds/site/challenge<br><br><br>References:1) https://creativecommons.org/licenses/by-nc/4.0/2) https://creativecommons.org/publicdomain/zero/1.0/ 3) https://creativecommons.org/licenses/by/4.0/<br>
DOI: 10.6084/m9.figshare.19499447.v1
title: patches and local annotations, slide 101, zoom 248x248 um2

description: patches and local annotations: data for slide with ID of the last 3 characters of the file name: local annotations in csv format and a folder with patches at zoom level indicated at the 6th character of the file name
DOI: 10.6084/m9.figshare.20529678.v1
title: Recurrent summer drought affects biomass production and community composition independently of snowmelt manipulation in alpine grassland

description: Datasets used in the following publication:Möhl P, Vorkauf M, Kahmen A, Hiltbrunner E (2023) Recurrent summer drought affects biomass production and community composition independently of snowmelt manipulation in alpine grassland. Journal of Ecology
DOI: 10.6084/m9.figshare.20556750.v1
title: GABB: Global alpine breeding bird database

description: Global database of bird species breeding above treeline. The dataset includes 1,310 alpine breeding species across mountain regions, along with associated traits that define each species alpine breeding propensity, ecological niche (migration, nest behaviour), and conservation value (endemism, conservation status). A regional dataset is also included which provides mountain region-specific species traits (e.g., nest type).
DOI: 10.6084/m9.figshare.29002031.v1
title: Supplemental files

description: Supplemental files, including supporting files for phylogenetic trees, R scripts, and the pangenome summary (Table S6) connected to the manuscript <b>Culture-supported ecophysiology of the SAR116 clade demonstrates metabolic and spatial niche partitioning</b>.
DOI: 10.6084/m9.figshare.20090162.v1
title: Demo results from the FrEIA pipeline

description: The archive contains the expected folder structure, quality check results and the final files with fragment end sequence proportions, diversity and FrEIA score of the dummy data set.
DOI: 10.6084/m9.figshare.20432052.v2
title: Lunar analogue friction experiments

description: Data obtained from friction experiments on anorthosite-bearing gouges (.mat files), X-Ray Powder Diffraction (XRPD) analysis of the gouges (.asc files), Field Emission Scanning Electron Microscope (FESEM) (.tif and .hdr files). <br> INGV_report.docx file is a report of the friction experiment. conducted at the Istituto Nazionale di Geofisica e Vulcanologia in Rome, Italy (March 2019). The report includes sample preparation and data processing details. <br> The Python script (.py file) is an example of the script used to read Matlab files in Python and to plot 'coefficient of friction vs. slip'. <br> The data are used in a manuscript submitted to JGR-Planets.
DOI: 10.6084/m9.figshare.24347152.v3
title: <b>COMPAS-2: </b>a database of cata-condensed hetero-polycyclic aromatic systems.

description: <b>COMPAS-2:</b> a database of cata-condensed hetero-polycyclic aromatic systems.<br><br><b>Summary:</b><br><br>The COMPAS-2x and COMPAS-2D data sets associated with the expansion of the COMPAS Project to the chemical space of cata-condensed hetero-polycyclic aromatic systems.<br><br><b>Files:</b><br>compas-2D.csv<br>compas-2D.parquet<br>compas-2D.sdf<br><br>compas-2x.csv<br>compas-2x.parquet<br>compas-2x.sdf<br><br>
DOI: 10.6084/m9.figshare.29002592.v1
title: 4_S23_3641_A4_2_study_v1_b1dcd489-a2c3-4355-b6c7-42e61ad47e55_2023-04-04_21-51-44-090_All.zip

description: renal cell carcinoma
DOI: 10.6084/m9.figshare.23600565.v1
title: BIOSNAP_DDI_and_genes_data

description: <strong># NamE Datasets</strong><br> Jeffrey Seathrún Sardina<br> <br> <strong>## Information and Use</strong><br> Datasets for the paper "NamE: Named Graph Embeddings for Context Modelling and Expert Knowledge Integration in Knowledge Graph Embeddings". Datasets are given with all variant forms, and with the original train-test-valid spits used in the paper. Train, test, and valid files are marked as such in the file prefix (e.g. "*-train.csv.gz").<br> <br> Datasets beginning in "triples-" contain triples in a comma-separated format; i.e.<br> ```<br> subject,predicate,object<br> subject,predicate,object<br> subject,predicate,object<br> ```<br> <br> Datasets beginning in "quads-" contain quads in a comma-separated format; i.e.<br> ```<br> subject,predicate,object,namedGraph<br> subject,predicate,object,namedGraph<br> subject,predicate,object,namedGraph<br> ```<br> <br> All datasets are gzipped; on most systems (Linux / MAC) you can uncompress these with "gunzip (file)" if needed.<br> <br> <strong>## Citation</strong><br> If you use these datasets or NamE in your work, please cite "NamE: Named Graph Embeddings for Context Modelling and Expert Knowledge Integration in Knowledge Graph Embeddings"<br> ```<br> BIBTEX citation pending<br> ```<br> <br> Included below are citations to the data sources from which these datasets were created. Note that the triples form of FB15K-237, as it appears in this repository, is unmodified from its original version.<br> <br> <strong>**BIOSNAP dataset citation:**</strong><br> ```<br> @misc{biosnap,<br> author = {Marinka Zitnik, Rok Sosi\v{c}, Sagar Maheshwari, and Jure Leskovec},<br> title = {{BioSNAP Datasets}: {Stanford} Biomedical Network Dataset Collection},<br> howpublished = {\url{http://snap.stanford.edu/biodata}},<br> month = aug,<br> year = 2018<br> }<br> ```
DOI: 10.6084/m9.figshare.23748966.v1
title: Mnova Spectroscopy Database by Lecture

description: Spectroscopy Database organized by lecture topic. To accompany Journal of Chemical Education paper "Spectroscopy Data for Undergraduate Teaching" by Van Bramer and Bastin. Data files are all in Mnova file format.
DOI: 10.6084/m9.figshare.3829980.v2
title: scikit-learn lfw dataset lfw-funneled.tgz

description: Part of the LFW dataset used in scikit-learn.
DOI: 10.6084/m9.figshare.24953499.v1
title: Driver_isdrowsiness_28-28-3.csv

description: The original driver drowsiness dataset contains 22,348 drowsy images and 19,445 non-drowsy images, where each image is 227x227x3 pixels, which means that the feature information is 154,587 (i.e., 227x227x3) dimensions. This driver drowsiness dataset is generated by resizing the original images of size 227x227x3 to 28x28x3 images, and denoted as driver_drowsiness(2).
DOI: 10.17632/rg7f6bwvb7
title: The Red Blood Cells dataset

description: The Red Blood Cells (RBC) data set is a multivariate data set inspired by prominent E. Evans article "Improved Measurements of the Erythrocyte Geometry" Microvascular Research, 4(4):335-347, 1972. The data set consists of fifty cells for each tonicity of three species of RBC. Attribute Information: The RBC data set has six attributes. You will be using the first five attributes to predict the species, whose class is defined in the fifth attribute of the data set. Input Variables : • Diameter in μm • Minimum thickness in μm • Maximum thickness in μm • Surface area in μm^2 • Volume in μm^3 Output Variables: Class (RBC Species) • RBC at 300 mOsm • RBC at 217 mOsm • RBC at 131 mOsm An example of the different species is given in the attached figure. The complete program for generating the RBC database in Matlab can be found in the RBCdataset.m file in the attached file. The bases generated by this program for the case N = 50 and N = 500 where N is the number of each species in the base are given here in the excel tables below.
DOI: 10.6084/m9.figshare.24100704.v1
title: SHAPE - SHelf mAnagement Product datasEt

description: SHAPE - SHelf mAnagement Product datasEtSHAPE (SHelf mAnagement Product datasEt) contains ~46K images of ~16K different SKU (Stock Keeping Unit) belonging to 62 different categories, fine-grained labeled with their category and European Article Number (EAN). Category and EAN are anonymized, real values could be released under commercial agreement.Dataset is structured as follow:First level folders are categories (anonymized with numbers 1,2,3...), second level folders are SKU (EANs are anonymized with numbers 1,2,3).Please refer to the original publication for any detail. Also when using the data, please cite the original paper:https://doi.org/10.1016/j.eswa.2024.124635<br>
DOI: 10.6084/m9.figshare.24978645.v1
title: Energy Station Data

description: Distributed energy resources (DERs) present presents promising role in decentralized and decarbonized energy transition. Due to the lack of long-term dataset at high resolution, there is very little work on description analysis of distributed energy system over period of during and after distributed power generators’ lifespan. This work collects a twenty-year period (from 2002 to 2021) of hourly energy generation and consumption profiles from a campus distributed energy system in Japan. Supply-side data comprises of gas consumption of combined heating and power (CHP) units (fuel cell, gas engine), absorption chiller and gas boiler, CHPs energy generation and grid electricity import. Real-life electricity, hot water, space heating and cooling energy consumption profile of individual buildings were collected. The long-term dataset can be applied in various cases, which can help researchers and policymakers acquire comprehensive understandings of energy efficiency of distributed energy system.
DOI: 10.6084/m9.figshare.5126362.v1
title: Supplementary Material for: Evidence of an Acinar Response following Treatment for Exacerbation in Adult Patients with Cystic Fibrosis

description: <b><i>Background:</i></b> Treating acute infectious exacerbations in cystic fibrosis (CF) patients with intravenous antibiotic therapy leads to variability in lung function and the ventilation distribution response. Part of the variable lung clearance index (LCI) response could be associated with the variable peripheral effects of intravenous antibiotic administration. <b><i>Objectives:</i></b> We explored to what extent the peripheral lung zones of CF patients could contribute to lung function improvements following treatment for infectious exacerbations. <b><i>Methods:</i></b> Over a 1-year period, 15 adult CF patients admitted for acute exacerbations were recruited. Lung function and multiple breath washout (MBW) tests were performed on the day of admission and at discharge. From the MBW test, we obtained acinar and conductive indices of ventilation heterogeneity and LCI. <b><i>Results:</i></b> The mean age (±SD) was 26 ± 5 years. Upon admission, the FEV<sub>1</sub> was 54 ± 16% predicted and the LCI was 181 ± 26% predicted. After treatment, the average FEV<sub>1</sub> increased to 61 ± 20% predicted (p &lt; 0.001) and the LCI decreased to 173 ± 28% predicted (p = 0.042). The change in LCI was associated with a change in acinar (ρ = +0.54; p = 0.039) but not in conductive ventilation heterogeneity (p &gt; 0.1). <b><i>Conclusions:</i></b> In CF patients in whom an improvement in LCI was obtained after treatment for an acute infectious exacerbation, this was paralleled by a decrease in acinar ventilation heterogeneity.
DOI: 10.6084/m9.figshare.26819782.v1
title: Supplementary Material for: Burden of Disease of Bullous Pemphigoid: A Targeted Literature Review

description: Background: Bullous pemphigoid (BP) is a rare, chronic, autoimmune, blistering disease characterized by heterogenous lesions including the formation of fluid-filled blisters on frequently flexed areas of the skin and involvement of the mucosa in 10%–25% of patients. BP mainly affects older patients and is associated with increased morbidity and mortality. The aim of the targeted literature review was to assess the clinical, humanistic and economic burden associated with BP. 
Summary: Targeted searches were conducted in Embase and MEDLINE for studies published in English up to November 2022 that reported burden of illness of BP. A total of 42 publications on the clinical (n=37), humanistic (n=6) and economic burden (n=8) of BP were identified. BP was associated with a high mortality rate (27%–72%), and an increased risk of death compared to matched controls. The majority of patients had at least one comorbidity, including hypertension, diabetes mellitus, stroke, and neurological disorders, and showed severe symptoms such as itching and pain. BP was associated with a negative impact on BP- and pruritus-related quality of life and mental health, with 31% and 38% of patients with BP experiencing depression and anxiety in the "Borderline/Abnormal" range, respectively. BP was further associated with high economic burden, reflected by increased healthcare resource utilization, such as longer hospital stays (7.3 days in patients with BP vs. 4.7 days in those without BP), and direct disease-related costs.
Key messages: This review provides a detailed assessment of the evidence base for BP, characterizing key aspects of the disease burden including clinical, humanistic and economic burden. The results emphasize that this rare disease is associated with a substantial burden to patients and have implications for clinical practice in the management of BP.
DOI: 10.6084/m9.figshare.7672328.v1
title: Additional file 5: of Exploitation of reverse vaccinology and immunoinformatics as promising platform for genome-wide screening of new effective vaccine candidates against Plasmodium falciparum

description: The PPC of individual epitope found in minimal epitope set of 5 genome derived predicted antigenic adhesions (GDPAA). (XLSX 13â kb)
DOI: 10.17632/c8g7smdgzs
title: Fly ash concrete

description: Dataset contains 471 data point on the compressive strength of concrete using fly ash.
DOI: 10.6084/m9.figshare.21801400.v9
title: Joint vertex-edge features graph convolution network (VE-GCN)

description: The codes that support the findings of manuscript entitled "<b>VE-GCN: A geographic-aware approach for polyline simplification in cartographic generalization</b>".
DOI: 10.17632/4nn2w8rvx3
title: Image-Bot: Everyday/Industrial Objects

description: Pictures of everyday and industrial objects in front of a greenscreen as well as masked and augmented images thereof. This dataset can be used to generate a larger synthetic training dataset for object detection and image segmentation by blending the masked images with different background images.
The masked and augmented images consist of a pair of foreground image and mask, whereas the mask can be used to generate the labeling for the image segmentation dataset.
This dataset was created as a prove of concept for and by the Image-Bot, which is described under https://github.com/FraunhoferIAO/Image-Bot as well as in the associated paper. The Image-Bot also offers the algorithms to blend the images of this dataset, with different background images. Just start with step 3 of the Image-Bot and name your project and object according to the objects in this dataset.
Furthermore, this dataset contains evaluation pictures for each object, to test algorithms trained with the synthetic dataset from the masked objects. If you use this dataset, please cite it via its DOI and via the original paper about the Image-Bot.
DOI: 10.4121/16686154.v3
title: Soil organic carbon stock and uncertainties, 30cm and 1m depth, at 250m spatial resolution in Canada, version 3.0

description: This project aimed to produce the first wall-to-wall estimate of C stocks in plants and soils of Canada at 250 m spatial resolution. This dataset contains the map with the soil organic carbon (SOC) in kg/m² for entire Canada in 1m depth, and the uncertainty in SOC predictions. The SOC stock map was produced using 39,323 ground samples of soil organic carbon concentration (g/kg) distributed in 6,533 sites, 11,068 ground samples of bulk density (kg/dm3) distributed in 2,157 sites, long-term climate data, remote sensing observations and a machine learning model. The soil samples containing the x and y coordinates, depth and SOC (in g/kg) information were overlaid with the stacked covariates (soil forming factors) to compose the regression matrix. Random forest models were trained using a recursive feature elimination scheme and a cross-validation assessment. The best model was used for spatial prediction of SOC over Canada in intermediate depths between 0 and 1 m (0cm, 5cm, 15cm, 30cm, 60cm, 100cm). Afterwards, the SOC stock of each depth increment was computed using SOC concentration and bulk density maps, and corrected with coarse fragment information. The depth increments have been added to compose the 0-30cm and 0-1m depth intervals multiplied by rooting depths fraction to discount shallow soils. Water and ice/snow areas were removed using a mask based on the Land Cover of Canada map. Ground ice in permafrost areas was discounted according to ice abundance using the ground ice map of Canada. The SOC stock uncertainty map is the difference between the first and third quantiles of a quantile regression forest approach of SOC concentration and bulk density prediction (90% confidence interval).<br>