cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.hgnf3y
title: Occurrence Download

description: A dataset containing 4835 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Dominican Republic",
 "TaxonKey is Fringillidae"
 ]
}

 The dataset includes 4835 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009152-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6przam
title: Occurrence Download

description: A dataset containing 39840 records in GBIF matching the query:
SELECT "year", GBIF_EEARGCode( 1000, decimalLatitude, decimalLongitude, COALESCE(coordinateUncertaintyInMeters, 1000) ) AS eeaCellCode, classKey, class, genusKey, genus, COUNT(*) AS occurrences, MIN(COALESCE(coordinateUncertaintyInMeters, 1000)) AS minCoordinateUncertaintyInMeters, MIN(GBIF_TemporalUncertainty(eventDate)) AS minTemporalUncertainty, IF(ISNULL(classKey), NULL, SUM(COUNT(*)) OVER (PARTITION BY classKey)) AS classCount FROM occurrence WHERE occurrenceStatus = 'PRESENT' AND genusKey IN (2162003, 2149911, 2457825, 2454645, 2465626, 2466496, 2459675, 2441658, 2442664, 5221394, 4553469) AND (continent = 'EUROPE' OR countrycode = 'BE') AND "year" &gt;= 1900 AND hasCoordinate = TRUE AND genusKey IS NOT NULL AND NOT ARRAY_CONTAINS(issue, 'ZERO_COORDINATE') AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_OUT_OF_RANGE') AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_INVALID') AND NOT ARRAY_CONTAINS(issue, 'COUNTRY_COORDINATE_MISMATCH') AND (LOWER(identificationVerificationStatus) NOT IN ( 'unverified', 'unvalidated', 'not validated', 'under validation', 'not able to validate', 'control could not be conclusive due to insufficient knowledge', 'uncertain', 'unconfirmed', 'unconfirmed - not reviewed', 'validation requested' ) OR identificationVerificationStatus IS NULL) AND coordinateUncertaintyInMeters &lt;= 10000 GROUP BY "year", eeaCellCode, classKey, class, genusKey, genus ORDER BY "year" DESC, eeaCellCode ASC, genusKey ASC;

 The dataset's 39840 records were derived from 539 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009137-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.77a8nw
title: Occurrence Download

description: A dataset containing 5298 records in GBIF matching the query:
SELECT "year", GBIF_EEARGCode( 1000, decimalLatitude, decimalLongitude, COALESCE(coordinateUncertaintyInMeters, 1000) ) AS eeaCellCode, classKey, class, familyKey, family, COUNT(*) AS occurrences, MIN(COALESCE(coordinateUncertaintyInMeters, 1000)) AS minCoordinateUncertaintyInMeters, MIN(GBIF_TemporalUncertainty(eventDate)) AS minTemporalUncertainty, IF(ISNULL(classKey), NULL, SUM(COUNT(*)) OVER (PARTITION BY classKey)) AS classCount FROM occurrence WHERE occurrenceStatus = 'PRESENT' AND (continent = 'EUROPE' OR countrycode = 'BE') AND "year" &gt;= 1900 AND hasCoordinate = TRUE AND familyKey IS NOT NULL AND NOT ARRAY_CONTAINS(issue, 'ZERO_COORDINATE') AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_OUT_OF_RANGE') AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_INVALID') AND NOT ARRAY_CONTAINS(issue, 'COUNTRY_COORDINATE_MISMATCH') AND (LOWER(identificationVerificationStatus) NOT IN ( 'unverified', 'unvalidated', 'not validated', 'under validation', 'not able to validate', 'control could not be conclusive due to insufficient knowledge', 'uncertain', 'unconfirmed', 'unconfirmed - not reviewed', 'validation requested' ) OR identificationVerificationStatus IS NULL)AND familyKey IN (5666)AND coordinateUncertaintyInMeters &lt;= 10000GROUP BY "year", eeaCellCode, classKey, class, familyKey, family ORDER BY "year" DESC, eeaCellCode ASC, familyKey ASC;

 The dataset's 5298 records were derived from 127 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009135-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/10062642
title: WallStreetBets 2022
DOI: 10.15468/dl.mrghqb
title: Occurrence Download

description: A dataset containing 487 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Persea borbonia (L.) Spreng.",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is Specimen"
 ]
}

 The dataset includes 487 records from 47 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009153-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dfa7cu
title: Occurrence Download

description: A dataset containing 1221 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Phellodendron amurense Rupr.",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is Specimen"
 ]
}

 The dataset includes 1221 records from 116 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009154-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3bcqsb
title: Occurrence Download

description: A dataset containing 586137 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "GadmGid is USA.36_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Arthropoda",
 "Year 2014-2024"
 ]
}

 The dataset includes 586137 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009133-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60707/5021-hg43
title: 3d scan of OREX-800089-0
DOI: 10.60707/fdf4-jv53
title: C, O, Fe XANES
DOI: 10.60707/37ce-rn77
title: Chemical composition of Bennu samples
DOI: 10.60707/p29g-ak78
title: 3d scan of large quick-look particle
DOI: 10.15468/dl.yrnhb4
title: Occurrence Download

description: A dataset containing 181 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Phoenix canariensis H.Wildpret",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is Specimen"
 ]
}

 The dataset includes 181 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009155-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/2yd8z99xcc.2
title: Data collected from audit firms

description: This data was collected through questionnaires distributed to chartered accountants working in audit firms (legal entities) in Morocco. Out of 606 chartered accountants, more than 300 responded to our study.
DOI: 10.17632/7f76dnvyn8.1
title: Plattsum: A fortran program that evaluates electrostatic lattice sums by the planewise summation method

description: Title of program: PLATTSUM Catalogue Id: ABVT_v1_0 Nature of problem The calculation of the electrostatic potential due to a Bravais lattice of point charges presents several problems, of a practical as well as of a conceptual nature, coming from its convergence properties. Leaving aside the fact that the potential of an infinite charge distribution diverges, the numerical difficulties lie in the fact that the convergence of the sum is very slow. CORRECTION SUMMARY: Vol:Year:Page 25:1982:111 "000A CORRECTION 07/09/81" "PLATTSUM: a Fortran program that evaluates electrostatic lattice sums by the planewise summation method. (C.P.C. 22(1981)13)." J.A. Hernando; V. Massidda Note: correction instructions are contained in source code Versions of this program held in the CPC repository in Mendeley Data ABVT_v1_0; PLATTSUM; 10.1016/0010-4655(81)90076-X ABVT_v2_0; PLATTSUM2; 10.1016/0010-4655(83)90081-4 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2018)
DOI: 10.17632/hyg5xkznpx.1
title: TCGA-Reports: A Machine-Readable Pathology Report Resource for Benchmarking Text-Based AI Models. Kefeli et al.

description: This dataset contains 9,523 machine-readable pathology reports originally published by The Cancer Genome Atlas (TCGA) in PDF format. 32 tissues or cancer-types are represented in the final dataset, and reports were generated at a wide variety of institutions. The reports have undergone data selection, OCR-translation, TCGA-artifact removal, form removal, and site-specific section header removal. The final dataset consists of high-quality, clean text with high information content. Please see Kefeli et al. (2024) for additional details.
DOI: 10.17632/677cvhnym2
title: Community-based Voluntary Counseling and Testing in Rural South Africa Among Adolescent Girls and Young Women

description: This is a dataset from a community based testing program in rural South Africa.
DOI: 10.17632/gxcdg3z7t6.1
title: MAELAS: MAgneto-ELAStic properties calculation via computational high-throughput approach

description: In this work, we present the program MAELAS to calculate magnetocrystalline anisotropy energy, anisotropic magnetostrictive coefficients and magnetoelastic constants in an automated way by Density Functional Theory calculations. The program is based on the length optimization of the unit cell proposed by Wu and Freeman to calculate the magnetostrictive coefficients for cubic crystals. In addition to cubic crystals, this method is also implemented and generalized for other types of crystals that may be of interest in the study of magnetostrictive materials. As a benchmark, some tests are shown for well-known magnetic materials.
DOI: 10.17632/4gb6s7mhh7.1
title: AMPK, a key regulator of metabolism and autophagy, is activated by lysosomal damage via a novel galectin-directed ubiquitin signal transduction system

description: Original imaging data (microscopy and western blots) for "AMPK, a key regulator of metabolism and autophagy, is activated by lysosomal damage via a novel galectin-directed ubiquitin signal transduction system"
DOI: 10.17632/d6bb655wwg.1
title: Data for: Microplastics pollution studies in India: recent review of sources, abundances and research perspectives - a comparison with global research

description: Microplastics (MPs) are ubiquitous, persistent pollutants that are reported in abundance in all environments and biota. This review highlights the identification, distribution and concentration of microplastics in all aquatic environments and biota in the India region which is one of the least studied with only forty-four papers published on microplastics during 2013-2020 in the web of science. The present review focuses on the concentration of microplastics in different aquatic environments such as 3096 items/kg in marine sediments, 106 items/kg in biota, 59 items/L in seawater, 175 items/kg in sea salt, 33.9 items/L in lake water, 336 items/kg in lake sediments, 288 pieces/m3 in river water, and 328 items/kg in river sediments. Consequently, we studied the distribution and occurrence of pollution from MPs in coastal and freshwater environments such as rivers, lakes and biota. Therefore, we propose extending studies in all the above areas of microplastics knowing that there are many unique aquatic habitats and species that are yet unexplored. For future research, we suggest new methods for sampling MPs in all marine ecosystems and biota. Assessing research in each of these ways will allow suggesting a microplastic threshold level and devising control initiatives to minimize plastic consumption and its eventual hazard to the aquatic ecosystem. Moreover enforcing strict laws, enhancing legal initiatives, well-planned comprehensive waste management policies and spontaneous public engagement are essential to create awareness of marine plastic pollution and reduce the adverse effects of land-based plastics.
DOI: 10.17632/tdx3h2fn9v.4
title: Mammogram Density Assessment Dataset

description: This dataset consists of mammogram images, complete with corresponding segmentation masks for dense tissue and breast area annotated by an expert radiologist. 

*Files*

train.zip: Comprises three sub-folders: 'images', 'breast_masks', and 'dense_masks'. The 'images' sub-folder houses the original images. The 'breast_masks' and 'dense_masks' sub-folders contain the ground truth segmentation masks for the breast area and dense tissue segmentation, respectively. All images are in JPG format. All masks and the corresponding images have the same dimension.

test.zip: Contains the images for test set in JPG format. No ground truths are provided for the test set.

*File lists*

train.csv: The training set filelist consists of two columns. The first column is the ‘Filename’, and the second column is the ‘Density', the ground truth for the breast density prediction task.

test.csv: The test set filelist contains the filenames of the test sets.

This dataset can be utilized for tasks such as segmentation and breast density estimation. The mammograms were sourced from the public VinDr-Mammo dataset, which can be found at [this link](^https://vindr.ai/datasets/mammo^). We have given annotations, including both segmentation masks and density values, for this public dataset.

If you use this dataset in your research or other purposes, please cite the following studies:

Gudhe, N.R., Behravan, H., Sudah, M. et al. Area-based breast percentage density estimation in mammograms using weight-adaptive multitask learning. Sci Rep 12, 12060 (2022). https://doi.org/10.1038/s41598-022-16141-2

Hieu T. Nguyen et al. “A large-scale benchmark dataset for computer-aided diagnosis in full-field digital mammography”. 2022. https://doi.org/10.1101/2022.03.07.22272009
DOI: 10.17632/57c3jcsr3j.1
title: Building Energy Profiles: A Geospatial Dataset for Dublin, Ireland

description: Central to our investigation is the Building Energy Rating (BER) dataset of Ireland, sourced from GeoDirectory data. This dataset provides a foundational resource, encompassing a comprehensive range of building-scale parameters such as detailed addresses, geocode data (latitude and longitude), area, height, number of floors, roof type, construction age, radon emission, HVAC system details, and bedroom and bathroom counts.
To enrich this dataset, we incorporated additional features from the Digital Landscape Models (DLM) Core Data from Tailte Éireann Surveying (PRIME2 Dataset). These enhancements include metrics such as nearest neighbor buildings, the density of the built environment surrounding each building, and district attributes like the ratio of green area to non-green area in the urban vicinity.
Dataset Compilation:
After carefully considering various data acquisition methods to capture building-scale and neighborhood-scale features, including both geometric and non-geometric attributes, as well as information about the surrounding built environment, we compiled a comprehensive dataset. Due to data protection policies, specific spatial details such as latitude, longitude, and addresses were omitted. However, the remaining data, aligned with our data acquisition objectives, is structured into a CSV file available in the mentioned repository.
Key Features:
1. Building-Scale Attributes:
o Identification and Location: Building ID, detailed address (excluding specific spatial details for privacy), geocode data.
o Structural Details: Area, height, number of floors, roof type, construction age.
o Energy and Environmental Data: BER rating, radon emission, HVAC system details.
o Additional Metrics: Estimated number of bedrooms and bathrooms, water heating source, space heating source.
2. Neighborhood-Scale Attributes:
o Environmental Context: Soil composition, presence of water bodies and green spaces, built-up areas.
o Urban Infrastructure: Roads, pathways, networks, and other land uses.
o Spatial Relationships: Built environment density, district green and non-green area, and land cover specification.
DOI: 10.17632/9smmfc9vb8.1
title: Raman spectroscopy data for laser reduction of graphene oxide

description: Raman spectroscopy data related to the redction of graphene oxide by laser
DOI: 10.17632/vwbb4dc9b7.1
title: Sick and Healthy: Thermal Images of Broiler Avian 48

description: dataset consisting of thermal images of 600 Cobb Avian 48 birds, including both males and females of varying ages. The research was conducted at the research farm of the Department of Poultry Production, Faculty of Agriculture, Kafrelsheikh University, Egypt. The dataset comprises distinct views captured at different times, such as frontal, flat, side, single, and group perspectives. Data collection employed a UNI-T UTi165A thermal imaging camera with the following specifications: a temperature range of -10 °C to 400 °C, a measurement resolution of 0.1°C, an accuracy of ±2.0 °C or ±2%, and an IR resolution of 19,200 pixels (160 × 120).
DOI: 10.17632/sn22cv59rj.1
title: Tree-ring dataset for flood history study in the White River, Arkansas U.S.A.

description: Data include earlywood vessel width and "flood ring" chronologies derived from bottomland oaks (Quercus lyrata) growing in the White River National Wildlife Refuge reported in "A record of flooding on the White River, Arkansas derived from tree-ring anatomical variability and vessel width" published in "Physical Geography". The overall site is named "Scrubgrass Bayou" (site code "SGB"). Data from cores collected by D. Stahle in 1980 (site code SNA; DOI https://doi.org/10.25921/phhr-wp20) are included in the flood ring and EW vessel width measurements. SGBSNA_EW_VW.crn is the earlywood vessel width chronology SGBSNA_EW_VW_raw.text are the raw vessel width measurements SGB_flood rings.csv are the summary percent trees injured data SGB_individual_FRs.xlsx are the flood ring data for each tree sampled SGBx_secs.kml are coordinate data for the SGB collection
DOI: 10.17632/rz75w3fkxy.1
title: Data for: Root cause analysis improved with machine learning for failure analysis in power transformers

description: Health index and power transformers results
DOI: 10.17632/v8kh23czrd.1
title: Disease Retrieval Utilizing DHCNN

description: Dataset for Image-Based Disease Retrieval for Plant Leaves Utilizing Hash Convolutional Neural Networks 

The dataset used in this work is from the public dataset provided by J, ARUN PANDIAN et al.
https://data.mendeley.com/datasets/tywbtsjrjv/1
DOI: 10.17632/rrtkg4hnmh.6
title: Computational Study Instances of the Multi-visit Drone Routing Problem for Pickup and Delivery Services

description: This paper considers a variant of the combined truck-drone multi-visit routing problem,  the data below show all the instances used in the paper, which mainly include 30 small-size instances and 43 larger-size instances with up to 100 customers.
DOI: 10.17632/9kw6xzmxn3.1
title: Integrated dataset for red tide (Karenia brevis bloom) patterns on the west Florida shelf 

description: This dataset contains integrated red tide (Karenia brevis harmful algal blooms) maps for the West Florida Shelf (24N – 31N, 87W – 81W) every month between 2003 and 2019. The integration is over in situ water sample analysis (which provides K. brevis cell concentration) and satellite data (which provides more frequent and spatial coverage than in situ data) using a practical approach. In situ cell counts data were obtained from a database maintained by the Florida Fish & Wildlife Conservation Commission (https://myfwc.com/research/redtide/monitoring/database/), and satellite data were collected by the Moderate Resolution Imaging Spectroradiometer (MODIS) onboard the Aqua satellite, available through NASA’s OB.DAAC (https://oceancolor.gsfc.nasa.gov). They were integrated to generate monthly maps of K. brevis bloom spatial extent and frequency.
Specifically, the maps are expressed as bloom occurrence frequency (BOF) and bloom intensity (BI). The boundary of bloom locations represents the bloom footprint. Both maps are in imagery format (color coded in png files, MODIS_KB_bloom_WFS_images.zip) and binary format (floating point Geotiff files, MODIS_KB_bloom_WFS_binary.zip).
DOI: 10.17632/s2dxrv45fr.1
title: EEG data for observing the video stimuli

description: This is EEG dataset collected within the research "Natural image reconstruction from brain waves: a novel visual BCI system with native feedback" https://www.biorxiv.org/content/10.1101/787101v3 Here we propose that observing visual stimuli of 5 different categories results in the different brain wave patterns decodable from noninvasive EEG. This hypothesis was tested on 17 subjects. All the data was collected by in autumn 2018, at MIPT Neurorobotics Lab, Dolgoprudny, Moscow Region, Russian Federation. The data was acquired using 128-channel MCS EEG Cap and NVX136 MCS amplifier, using NeoRec software provided by the manufacturer. The protocol included two sessions of the same video observing task. The video consisted of 117 different short clips, belonging to 5 different categories: abstract forms, waterfalls, faces, Goldberg mechanisms and speed. The clips were separated with black screen pauses of 2-3 seconds length. As for now, we cannot include the video itself due to copyright issues. We only provide screenshots of the video clips (except for category 2: faces). The detailed description can be found inside the ZIP archive.
DOI: 10.17632/fk8jnw7dnj.1
title: Emerging markets and ESG

description: Data on ESG
DOI: 10.17632/nyhfxz8tt9.1
title: Secukinumab clears “mild-to-moderate” psoriasis: a randomized, placebo-controlled exploratory clinical trial

description: Background: All psoriasis biologics are tested in randomized clinical trials (RCTs) exclusively for severe psoriasis and not indicated for “mild-to-moderate” psoriasis. 
Objective: To demonstrate the efficacy of IL-17A antagonist secukinumab for “mild-to-moderate” psoriasis.  
Methods: A randomized, double-blinded, placebo-controlled exploratory phase II clinical trial to test secukinumab for “mild-to-moderate” psoriasis reporting histologic and gene expression modifications observed in psoriasis skin (NCT03131570). The primary outcome measure was the proportion of subjects who have ≥75% reduction in Psoriasis Area-and-Severity Index (PASI75) at week 12. Skin biopsies were analyzed by immunohistochemistry and multiple RT-PCR assays.
Results: Secukinumab led to greater rates of PASI75 response (72.7%) at week 12 compared with placebo (0%) (P < 0.005). 100% of mild-to-moderate psoriasis patients achieved PASI75 16 weeks after the initiation of injections. 89% of mild-to-moderate psoriasis patients achieved ≥90% reduction in PASI (PASI90) 20 weeks after the initiation of injections. Systemic secukinumab injection reversed keratinocyte hyperproliferation, and decreased T-cell and dendritic cell numbers and pathogenic psoriatic gene expressions (P < 0.005). 
Limitations: The study was exploratory with limited sample size.
Conclusion: IL17A inhibitors are effective for “mild-to-moderate” psoriasis.
DOI: 10.17632/phy7fg5hzb.1
title: Data for: Effects of Laser Shock Peening on the Mechanisms of Fatigue Short Crack Initiation and Propagation of AA7075-T651
DOI: 10.17632/bbv2mdxwcr.1
title: Barley Exome Diversity
DOI: 10.17632/kjd6yy5scn.1
title: Colombia: on-road exhaust vehicle emissions

description: This dataset contains annual exhaust emission inventories of CO, VOC, NOx, PM2.5, CO2, CH4 and BC from on-road transportation in Colombia, for the period 1990–2020, every 5 years. The data is presented as NetCDF4 files, in Gg/y per cell for each specie and year, gridded with a spatial resolution of 0.01° x 0.01° covering the domain 66° 50' – 79° 0' W and 12° 30' N – 4° 13' S.