cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.48597/7yh9-mc9x
title: Measurement of Copper at Storhofdi

description: Measurement of Copper at Storhofdi
DOI: 10.48597/a3vk-gbx4
title: Measurement of Heavy metals at Storhofdi

description: Measurement of Heavy metals at Storhofdi
DOI: 10.48597/g5ew-em3x
title: Measurement of Nickel at Storhofdi

description: Measurement of Nickel at Storhofdi
DOI: 10.48597/hwsf-p7z8
title: Measurement of Arsenic at Storhofdi

description: Measurement of Arsenic at Storhofdi
DOI: 10.48597/padq-yudj
title: Measurement of Heavy metals at Storhofdi

description: Measurement of Heavy metals at Storhofdi
DOI: 10.48597/u68x-33ry
title: Measurement of Precipitation_amount at Storhofdi

description: Measurement of Precipitation_amount at Storhofdi
DOI: 10.48597/up9c-sg56
title: Measurement of Lead at Storhofdi

description: Measurement of Lead at Storhofdi
DOI: 10.48597/xugm-5a6j
title: Measurement of Chromium at Storhofdi

description: Measurement of Chromium at Storhofdi
DOI: 10.48597/bz2z-nmp5
title: Heavy metals at Storhofdi

description: Measurement of Heavy metals at Storhofdi
DOI: 10.48597/zffk-shm4
title: Measurement of Iron at Storhofdi

description: Measurement of Iron at Storhofdi
DOI: 10.48597/55dk-eah3
title: Measurement of Heavy metals at Storhofdi

description: Measurement of Heavy metals at Storhofdi
DOI: 10.48597/exfw-vg9k
title: Heavy metals at Storhofdi

description: Measurement of Heavy metals at Storhofdi
DOI: 10.48597/7tkk-r2n2
title: Measurement of Heavy metals at Storhofdi

description: Measurement of Heavy metals at Storhofdi
DOI: 10.48597/3s2f-shh8
title: Precipitation_amount_off at Storhofdi

description: Measurement of Precipitation_amount_off at Storhofdi
DOI: 10.48597/5svn-uzqe
title: Measurement of Precipitation_amount_off at Storhofdi

description: Measurement of Precipitation_amount_off at Storhofdi
DOI: 10.48597/dz7a-8e4n
title: Measurement of Precipitation_amount_off at Storhofdi

description: Measurement of Precipitation_amount_off at Storhofdi
DOI: 10.48597/e62f-g835
title: Measurement of Precipitation_amount_off at Storhofdi

description: Measurement of Precipitation_amount_off at Storhofdi
DOI: 10.48597/fzdm-trny
title: Measurement of Heavy metals and inorganics in precipitation at Storhofdi

description: Measurement of Heavy metals and inorganics in precipitation at Storhofdi
DOI: 10.48597/utv6-4evf
title: Measurement of Precipitation_amount_off at Storhofdi

description: Measurement of Precipitation_amount_off at Storhofdi
DOI: 10.48597/2qss-c4bu
title: Measurement of Precipitation_amount_off at Storhofdi

description: Measurement of Precipitation_amount_off at Storhofdi
DOI: 10.48597/3ews-2s3k
title: Measurement of Heavy metals at Storhofdi

description: Measurement of Heavy metals at Storhofdi
DOI: 10.48597/bm7j-aqcd
title: Measurement of Precipitation_amount_off at Storhofdi

description: Measurement of Precipitation_amount_off at Storhofdi
DOI: 10.48597/fgrv-9dpy
title: Precipitation_amount_off at Storhofdi

description: Measurement of Precipitation_amount_off at Storhofdi
DOI: 10.48597/gvsp-2wku
title: Measurement of Heavy metals and inorganics in precipitation at Storhofdi

description: Measurement of Heavy metals and inorganics in precipitation at Storhofdi
DOI: 10.48597/ngg7-ast7
title: Measurement of Precipitation_amount_off at Storhofdi

description: Measurement of Precipitation_amount_off at Storhofdi
DOI: 10.48597/rf5g-vptz
title: Measurement of Precipitation_amount_off at Storhofdi

description: Measurement of Precipitation_amount_off at Storhofdi
DOI: 10.48597/5uzm-3vg9
title: Measurement of Heavy metals at Storhofdi

description: Measurement of Heavy metals at Storhofdi
DOI: 10.48597/chss-ggm6
title: Precipitation_amount_off at Storhofdi

description: Measurement of Precipitation_amount_off at Storhofdi
DOI: 10.48597/nzpe-zd8k
title: Measurement of Precipitation_amount_off at Storhofdi

description: Measurement of Precipitation_amount_off at Storhofdi
DOI: 10.6084/m9.figshare.27652623.v9
title: toy-datasets

description: Toy datasets of different genome data and file types.
DOI: 10.15468/dl.skddg3
title: Occurrence Download

description: A dataset containing 1283 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Acacia provincialis A.Camus)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 1283 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026247-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5ffnxw
title: Occurrence Download

description: A dataset containing 385 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Capito wallacei O'Neill, Lane, Kratter, Capparella & Fox, 2000"
 ]
}

 The dataset includes 385 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026248-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/9z48yfzr63.1
title: CRC Cell Classification

description: This repository contains the data for the whole slide analysis detailed in the paper "Computational pathology applied to clinical colorectal cancer cohorts identifies immune and endothelial cell spatial patterns predictive of outcome" by Trahearn, et al.

Included are cell classification tables, annotated regions for metastatic samples, and cell density heatmaps. Please refer to the README file included in each zip file for further details.
DOI: 10.25934/pr00010784
title: Evaluating Machine Learning Algorithms for Predicting AMR

description: Recent work by researchers have investigated the use of deep learning models in detecting antimicrobial susceptibility using the convolutional neural network While their work has proved useful by setting pace on what can be achieved in accelerating prediction from image strains of bacteria, there remains significant work to be done by detecting and predicting antimicrobial resistance from bacteria deoxyribonucleic acid (DNA) sequences. This study aims to understand current approaches undertaken to predict the presence of AMR using tried
and untried machine learning and deep learning algorithms. Due to the rise of machine learning algorithms and the successful attempts in predicting
AMR genes, data from different databases irrespective of demographics can reveal biological
insights. To gain these insights, this study seeks to answer two questions:
i. Can we identify mutation responsible for antimicrobial resistance in bacterial
populations using supervised and semi-supervised classes of machine learning
algorithms?
ii. Can we predict bacterial genes that might become antimicrobial resistant genes
with their propagation patterns?
DOI: 10.15468/dl.584z33
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Allium permixtum Guss.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026249-241107131044228/datasets/export for details.
DOI: 10.60707/m5mw-kj32
title: EA-IRMS Analysis, C/N for the samples OREX-103001-12, OREX-103001-13, OREX-103001-14, OREX-103001-15, OREX-103001-16, OREX-103001-17
DOI: 10.60707/srdv-7b95
title: uL2MS Summed Mass Spectrum OREX-501006-0 PG5
DOI: 10.17632/d297rvr3r6.1
title: Dataset of Medicinal Plant Leaves Hibiscus, Aloe Vera, Moringa, Tulsi, and Neem

description: This dataset contains high-quality raw and augmented image data of medicinal plant leaves, including Hibiscus (Hibiscus rosa-sinensis), Aloe Vera (Aloe barbadensis miller), Moringa (Moringa oleifera), Tulsi (Ocimum sanctum), and Neem (Azadirachta indica). The raw images were captured under controlled environmental conditions to preserve the distinct morphological characteristics of each leaf, such as shape, venation, and surface texture. 
This dataset is intended for use in various fields, including botany, pharmacological research, biodiversity studies, and artificial intelligence applications. It is particularly relevant for the development of automated systems for medicinal plant identification and for understanding the morphological features of plants used in traditional medicine. 

Data:
1. Hibiscus (Hibiscus rosa-sinensis) =535 (2107)
2. Aloe Vera (Aloe barbadensis miller= 235(1175)
3. Moringa (Moringa oleifera)= 400(1745)
4. Tulsi (Ocimum sanctum)= 399( 1995)
5. Neem (Azadirachta indica)= 1605(4210)

Total raw Data:3173
Total Augmented data: 11232

File Format: JPG 
Image Resolution: High-resolution 

Applications:
1. Medicinal plant identification 
2. Biodiversity research 
3. Pharmacological studies 
4. Machine learning and AI-based classification systems
DOI: 10.17632/pvsv534ccg.1
title: Eggplant Leaf Disease Classification Dataset

description: Dataset Overview:
It contains 2991 high-resolution images of eggplant leaves.
Images were collected from the Changao, Paragram, Ashulia, Dhaka, and Narsingdi regions of Bangladesh.
Data was gathered between October 20 and November 2, 2024, over a period of 13 days.
Classes:
Cercospora: 628 images
Curl: 284 images
Flea Beetles: 84 images
Hadda Beetles: 530 images
Healthy: 188 images
LeafhopperJassids: 38 images
Magnesium Deficiency: 50 images
Phomposist Blast: 218 images
TMV (Tobacco Mosaic Virus): 356 images
Tobacco Caterpillar: 452 images
Verticillium Wilt: 163 images
Purpose:
Supports the advancement of automated agricultural disease detection systems.
It aims to assist in the early detection and management of eggplant leaf diseases.
Enables the development of reliable diagnostic tools using machine learning and image processing techniques.
Promotes better crop management, increased yield, and reduced pesticide use, contributing to sustainable agricultural practices.
Serves as a resource for developing and evaluating image-based disease recognition models and deep learning applications in agriculture.
DOI: 10.17632/pvsv534ccg.2
title: Eggplant Leaf Disease Classification Dataset

description: Dataset Overview:
It contains 2991 high-resolution images of eggplant leaves.
Images were collected from the Changao, Paragram, Ashulia, Dhaka, and Narsingdi regions of Bangladesh.
Data was gathered between October 20 and November 2, 2024, over a period of 13 days.
Classes:
Cercospora: 628 images
Curl: 284 images
Flea Beetles: 84 images
Hadda Beetles: 530 images
Healthy: 188 images
LeafhopperJassids: 38 images
Magnesium Deficiency: 50 images
Phomposist Blast: 218 images
TMV (Tobacco Mosaic Virus): 356 images
Tobacco Caterpillar: 452 images
Verticillium Wilt: 163 images
Purpose:
Supports the advancement of automated agricultural disease detection systems.
It aims to assist in the early detection and management of eggplant leaf diseases.
Enables the development of reliable diagnostic tools using machine learning and image processing techniques.
Promotes better crop management, increased yield, and reduced pesticide use, contributing to sustainable agricultural practices.
Serves as a resource for developing and evaluating image-based disease recognition models and deep learning applications in agriculture.
DOI: 10.60707/81ff-sx95
title: OPANAC C2 to C6 Hydrolyzed Samples
DOI: 10.60707/pwm6-na19
title: OPANAC C2 to C6 UnHydrolyzed Samples
DOI: 10.60707/bt5a-4e54
title: OPANAC C5 UnHydrolyzed Samples
DOI: 10.17632/7mj4sckr8y.1
title: Data: Excellent strength-ductility combination, in the absence of twinning, in a novel single-phase VMnFeCoNi high-entropy alloy

description: This data set contains the following data:
Figure 1- Solvus temperature: This folder contains backscatter electron images of VMnFeCoNi specimens cast, homogenized, cold-worked and annealed between 1000 and 1100 °C for 1 h. File name format is alloy composition_ recrystallization (RX)_temperature of annealing_ duration of annealing. 
Figure 2- SEM standard state: This folder contains two subfolders relating to electron back scatter diffraction (EBSD) and energy dispersive X-ray spectroscopy (EDX) data of VMnFeCoNi recrystallized at 1080°C, 30 min, labeled EBSD and EDX maps, respectively. EBSD contains the processed inverse pole figure map and the inverse pole figure density texture plot, as well as the raw EBSD scan data in the .ctf format, segmented in two subfolders labelled Plots and Raw ctf data, respectively. EDX maps contains the BSE image and corresponding EDX elemental concentration maps for Co, Fe, Mn, Ni, and V.
Figure 3- TEM standard state: This folder contains two subfolders relating to transmission electron microscope (TEM) bright field (BF) and selected area diffraction (SAD) as well as TEM-EDX data of VMnFeCoNi recrystallized at 1080°C, 30 min, labeled BF_SAD and EDX, respectively. BF_SAD contains the BF and corresponding SAD images. EDX maps contains the electron image and corresponding EDX elemental concentration maps for Co, Fe, Mn, Ni, and V.
Figure 4- Tensile_data: Tensile data including, engineering stress-strain data for VMnFeCoNi samples deformed to 10 % strain, 25 % strain and failure (homogeneous engineering strain: 60%) at RT. Additional true-stress-strain data and associated work-hardening rates for samples deformed to failure are also included (shared in the .dat format). Naming format: alloy composition_recrystallized (RX)_ annealing temperature_annealing time duration_ serial number if deformed to fracture/strain at which test was interrupted.
Figure 5- TEM deformed state: TEM-BF and SAD images of samples deformed to 10% tensile strain, 25 % tensile strain, and to fracture. 
Figure S1- Sigma confirmation: This folder contains two subfolders relating to EBSD processed and raw data of VMnFeCoNi recrystallized at 1000°C, 1h, labeled Plots and Raw ctf data, respectively. Plots contains the processed inverse pole figure map, phase map, and two example Kikuchi patterns from two different sigma phase particles. The folder Raw ctf data contains the raw EBSD data in the .ctf format. 
Figure S2- Oxide confirmation: Contains the BSE image showing where the EDX line scan was carried out for the EDX data shown in Figure S2, and associated data in .dat format. 
Grain_size_BSE: This folder contains the raw BSE images that were used to calculate the grain and crystallite size in equiatomic VMnFeCoNi recrystallized at 1080 °C, 30 min via linear intercept method. Naming format: recrystallized (RX)_ annealing temperature_annealing time duration_ serial number.
DOI: 10.17632/r7tsv5sz8v.1
title: Perl script for creating Pater's data files on displacement, stress and velocities, with the data files

description: A self-explanatory perl script with data files in plain text for displacement, velocities and stresses of crystallographic layers in a chain of strings and masses model. tar.gz format.
DOI: 10.15468/dl.3zjmv2
title: Occurrence Download

description: A dataset containing 19485 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Acacia pycnantha Benth.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 19485 records from 59 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026250-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dnnuey
title: Occurrence Download

description: A dataset containing 2193 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Alyssoides utriculata (L.) Medik.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 2193 records from 52 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026251-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60707/92y7-at49
title: LCMS Bundle - N-heterocycles in the Bennu sample OREX-800044-101
DOI: 10.17632/h588hz3pbt.1
title: HyperPATH study cohort for all variables

description: International Hypertensive Pathotype (HyperPATH) Consortium, HyperPATH study, has been an on-going, multi-site study, aimed at investigating the pathophysiologic and genotypic mechanisms involved in hypertension and cardiovascular diseases. Participants were studied at four collaborating centers: Brigham and Women’s Hospital (Boston, MA), University of Utah Medical Center (Salt Lake City, UT), Vanderbilt University Hospital (Nashville, TN), and Hôpital Européen Georges Pompidou (Paris, France).
DOI: 10.15468/dl.as9ndc
title: Occurrence Download

description: A dataset containing 57086 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Morocco",
 "GadmGid is MAR.5_1",
 "Geometry POLYGON((-7.73613 33.37653,-7.05888 33.37653,-7.05888 33.80985,-7.73613 33.80985,-7.73613 33.37653))",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 57086 records from 96 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001214-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.74yyrg
title: Occurrence Download

description: A dataset containing 263 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Terminalia tomentosa Wight & Arn."
 ]
}

 The dataset includes 263 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001215-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5x5evj
title: Occurrence Download

description: A dataset containing 51 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tinospora cordifolia (Willd.) Hook.fil. & Thomson"
 ]
}

 The dataset includes 51 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001217-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cj7a9j
title: Occurrence Download

description: A dataset listing the 1636 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Morocco",
 "GadmGid is MAR.5_1",
 "Geometry POLYGON((-7.73613 33.37653,-7.05888 33.37653,-7.05888 33.80985,-7.73613 33.80985,-7.73613 33.37653))",
 "HasGeospatialIssue is false"
 ]
}

 The dataset's 1636 records were derived from 96 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001216-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5zbqjb
title: Occurrence Download

description: A dataset containing 191 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Azolla filiculoides Lam.",
 "Country is South Africa",
 "Year is greater than or equal to 1500"
 ]
}

 The dataset includes 191 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001218-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ajcrmq
title: Occurrence Download

description: A dataset containing 3462 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Spinacia oleracea L."
 ]
}

 The dataset includes 3462 records from 226 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001219-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.exv4ur
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Lipomyces japonicus Van der Walt, M.T.Sm., Y.Yamada & Nakase"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001220-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.np6kda
title: Occurrence Download

description: A dataset containing 7656 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Colletotrichum gloeosporioides (Penz.) Penz. & Sacc."
 ]
}

 The dataset includes 7656 records from 84 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001221-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7p9xs8
title: Occurrence Download

description: A dataset containing 705 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Azolla filiculoides Lam.",
 "Country is Spain",
 "Year is greater than or equal to 1500"
 ]
}

 The dataset includes 705 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001222-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hbjfs7
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Aspergillus nomiae Kurtzman, B.W.Horn & Hesselt."
 ]
}

 The dataset includes 17 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001223-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tay4ng
title: Occurrence Download

description: A dataset containing 54 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Colletotrichum scovillei Damm, P.F.Cannon & Crous"
 ]
}

 The dataset includes 54 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001224-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14875547
title: hospital

description: Hospital is a dataset that contains hospital information from US Department of Health and Human Services. It contains 100k records and 19 attributes (ProviderNumber, HospitalName, Address1, Address2, Address3, City, State, ZIPCode, CountyName, PhoneNumber, HospitalType, HospitalOwner, EmergencyService, Condition, MeasureCode, MeasureName, Score, Sample, StateAvg).
DOI: 10.5281/zenodo.14875548
title: hospital

description: Hospital is a dataset that contains hospital information from US Department of Health and Human Services. It contains 100k records and 19 attributes (ProviderNumber, HospitalName, Address1, Address2, Address3, City, State, ZIPCode, CountyName, PhoneNumber, HospitalType, HospitalOwner, EmergencyService, Condition, MeasureCode, MeasureName, Score, Sample, StateAvg).
DOI: 10.15468/dl.8m2sqw
title: Occurrence Download

description: A dataset containing 1449 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Cenococcum geophilum Fr."
 ]
}

 The dataset includes 1449 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001225-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.