cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.259td3
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Seseli farrenyi Molero & J.Pujadas)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2020"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000712-250226211154957/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/g4njkr99f2.1
title: Overall Patient Characteristics

description: Characteristics of vitiligo patients at UC Irvine.
DOI: 10.17632/7x5t7jggzj.1
title: Protein O-GlcNAcylation and hexokinase mitochondrial dissociation drive heart failure with preserved ejection fraction_Proteomics data

description: For proteomics with pulled down biotinylated samples, MS-grade trypsin (Promega, Madison WI) was added each sample at an enzyme-to-substrate ratio of 1:50 for overnight digestion at 37 ⁰C. Digestion was halted with the addition of 10% formic acid to a final concentration of 0.5%. The peptides were de-salted with C18 spin columns and completely dried prior to running on the mass-spectrometer. LC-MS analysis was performed on Vanquish Neo UHPLC (Thermo Fisher, VN-S10-A-01) coupled to Orbitrap Exploris 240 mass spectrometer (Thermo Fisher, BRE725535). Analytical separation was conducted using a UHPLC C18 column (Ion Opticks, AUR3-15075C18-CSI). For each run, 1ug equivalent of sample was injected. The flow rate was set at 0.2 µl/min. Elution of peptides from analytical separation column was performed using a 120 min gradient between buffer A (0.1% Formic acid and 99.9% Optima LC/MS grade water) and buffer B (80% Acetonitrile, 19.9% Optima LC/MS grade water, and 0.1% formic acid): 0 % B at the beginning, 8 % B at 1 min, 28 % B at 86 min, 50 % B at 106 min, 100 % B from 107 to 110 min, 0 % B from 111 to 120 min.

Electrospray ionization was performed using a Nanospray Flex Ion Source (Thermo Fisher, ES071) and positive static spray voltage was set at 2200 V. For full Scan range was set to 350-1600 m/z with RF lens: 60%, Orbitrap resolution: 120,000, Normalized AGC Target (%): 300, Maximum injection time (ms): 25, microscans: 1, and Intensity threshold: 5.0e3.

Data-dependent acquisition (DDA) by TopN was performed through fragmentation isolated precursor ions with charges between +2 to +5. The following parameters were used for DDA: Dynamic exclusion mode: exclusion duration (s) = 30, mass tolerance: 5 ppm (low) and 5 ppm (high). Data dependent mode: cycle time (s): 2, ddMS2 parameters isolation window (m/z) = 1.5, Normalized collisional energy = 30%, Orbitrap resolution 15,000, scan range mode: define first mass, first mass (m/z) 200, Normalized AGC target (%): 100, Maximum injection time (ms) = 50.

Proteins were identified from the MS raw files using the Mascot search engine (Matrix Science, London, UK. version 2.5.1). MS/MS spectra were searched against the SwissProt Human database. All searches included oxidized Methionine, deamidated asparagine and aspartic Acid, and acetylated

N-term as variable modifications. Two missed tryptic cleavages were allowed. 1% false discovery rate cutoff was applied at the peptide level. Only proteins with a minimum of two peptides above the cutoff were considered for further study. Identified peptides/protein were visualized by Scaffold software (version 5.0, Proteome Software Inc., Portland, OR)."
DOI: 10.17632/yg3fmrfdb7.1
title: The particle size distribution data of ultrafine potassium bicarbonate and ammonium dihydrogen phosphate particles.

description: In this work, we developed an improved method, namely bubble-assisted freeze-dissolving in antisolvent (B-FDas), which enhances the production of ultrafine particles in two systems: potassium bicarbonate and ammonium dihydrogen phosphate. This improvement is achieved by introducing a continuous stream of bubbles during the freeze-dissolving process. The initial concentration of the particles ranged from 0.02 g/g to 0.10 g/g, and the volume of the frozen ice particles varied from 0.01 to 0.08 cm3. The tables presented herein illustrate the particle size distribution of the two types of particles under different conditions, including comparisons between different methods, the same volume but different concentrations, and the same concentration but different volumes.
DOI: 10.17632/ffyn828yf4.1
title: GastroEndoNet: Comprehensive Endoscopy Image Dataset for GERD and Polyp Detection

description: This dataset contains a total of 27, 624 (primary 4,604 images with 6 augmented techniques) high-quality gastrointestinal endoscopy images categorized into four distinct classes: GERD, GERD Normal, Polyp, and Polyp Normal. The dataset is curated to aid research and advancements in medical image analysis, focusing on the automatic detection and classification of Gastroesophageal Reflux Disease (GERD) and gastrointestinal polyps, both critical conditions in gastroenterology.

- GERD: 1,076 * 6 = 6,456 images of patients diagnosed with GERD through endoscopic evaluation, depicting various manifestations of reflux damage in the esophagus.
- GERD Normal: 1,168 * 6 = 7,008 images of healthy gastrointestinal tracts without GERD, serving as control cases for the GERD category.
- Polyp: 1,188 * 6 = 7,128 images featuring gastrointestinal polyps, including various types and stages, aimed at supporting early detection of potentially precancerous conditions.
- Polyp Normal: 1,172 * 6 = 7,032 images representing normal gastrointestinal conditions with no polyps, included to provide a comparison for effective polyp detection.

This comprehensive dataset is ideal for developing and testing machine learning algorithms for diagnosis, classification, and detection of GERD and polyps, ultimately contributing to improved AI-driven healthcare solutions in the field of gastroenterology.
DOI: 10.17632/ffyn828yf4.2
title: GastroEndoNet: Comprehensive Endoscopy Image Dataset for GERD and Polyp Detection

description: This dataset contains a total of 27, 624 (primary 4,604 images with 6 augmented techniques) high-quality gastrointestinal endoscopy images categorized into four distinct classes: GERD, GERD Normal, Polyp, and Polyp Normal. The dataset is curated to aid research and advancements in medical image analysis, focusing on the automatic detection and classification of Gastroesophageal Reflux Disease (GERD) and gastrointestinal polyps, both critical conditions in gastroenterology.

- GERD: 974 * 6 = 5,844 images of patients diagnosed with GERD through endoscopic evaluation, depicting various manifestations of reflux damage in the esophagus.
- GERD Normal: 1,103 * 6 = 6,618 images of healthy gastrointestinal tracts without GERD, serving as control cases for the GERD category.
- Polyp: 779 * 6 = 4,674 images featuring gastrointestinal polyps, including various types and stages, aimed at supporting early detection of potentially precancerous conditions.
- Polyp Normal: 1,150 * 6 = 6,900 images representing normal gastrointestinal conditions with no polyps, included to provide a comparison for effective polyp detection.

This comprehensive dataset is ideal for developing and testing machine learning algorithms for diagnosis, classification, and detection of GERD and polyps, ultimately contributing to improved AI-driven healthcare solutions in the field of gastroenterology.

Note: Version 2 removed the duplicate images.
DOI: 10.17632/ffyn828yf4.3
title: GastroEndoNet: Comprehensive Endoscopy Image Dataset for GERD and Polyp Detection

description: This dataset contains a total of 24, 036 (primary 4,006 images with 6 augmented techniques) high-quality gastrointestinal endoscopy images categorized into four distinct classes: GERD, GERD Normal, Polyp, and Polyp Normal. The dataset is curated to aid research and advancements in medical image analysis, focusing on the automatic detection and classification of Gastroesophageal Reflux Disease (GERD) and gastrointestinal polyps, both critical conditions in gastroenterology.

- GERD: 974 * 6 = 5,844 images of patients diagnosed with GERD through endoscopic evaluation, depicting various manifestations of reflux damage in the esophagus.
- GERD Normal: 1,103 * 6 = 6,618 images of healthy gastrointestinal tracts without GERD, serving as control cases for the GERD category.
- Polyp: 779 * 6 = 4,674 images featuring gastrointestinal polyps, including various types and stages, aimed at supporting early detection of potentially precancerous conditions.
- Polyp Normal: 1,150 * 6 = 6,900 images representing normal gastrointestinal conditions with no polyps, included to provide a comparison for effective polyp detection.

This comprehensive dataset is ideal for developing and testing machine learning algorithms for diagnosis, classification, and detection of GERD and polyps, ultimately contributing to improved AI-driven healthcare solutions in the field of gastroenterology.

Note: Version 2 removed the duplicate images.
DOI: 10.17632/cj3txg633b.1
title: Individual Feature-Based Recognition of Pottery Painters: Using Convolutional Neural Network Techniques

description: Measurement data covered in the article ‘Individual Feature-Based Recognition of Pottery Painters: Using Convolutional Neural Network Techniques’, Convolutional Neural Network Prediction Results and Convolutional Neural Network Code
DOI: 10.17632/cj3txg633b.2
title: Painting Style-Based Recognition of Potters: Using Convolutional Neural Network Techniques

description: Measurement data covered in the article ‘Individual Feature-Based Recognition of Pottery Painters: Using Convolutional Neural Network Techniques’, Convolutional Neural Network Prediction Results and Convolutional Neural Network Code
DOI: 10.17632/tndxfv9nng.1
title: Painting Style-Based Recognition of Potters: Using Convolutional Neural Network Techniques

description: Measurement data, convolutional neural network models and their identification results discussed
DOI: 10.15468/dl.dq4h8w
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Seseli intricatum Boiss.)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2020"
 ]
}

 The dataset includes 3 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000713-250226211154957/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pgku9g
title: Occurrence Download

description: A dataset listing the 107 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Portugal",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Necora puber (Linnaeus, 1767), Tritia reticulata (Linnaeus, 1758), Tritia varicosa (W.Turton, 1825), Tritia incrassata (Strøm, 1768), Mysta picta (Quatrefages, 1866), Monopseudocuma gilsoni (Bacescu, 1950), Microjassa cumbrensis (Stebbing & Robertson, 1891), Microdeutopus gryllotalpa A.Costa, 1853, Metaphoxus simplex (Spence Bate, 1857), Melita palmata (Montagu, 1804), Melinna palmata Grube, 1870, Megaluropus agilis Hoek, 1889, Medicorophium runcicorne (Della Valle, 1893), Marphysa sanguinea (Montagu, 1813), Paucibranchia bellii (Audouin & Milne Edwards, 1833), Maldane sarsi Malmgren, 1865, Malacoceros fuliginosus (Claparède, 1868), Maera grossimana (Montagu, 1808), Macropodia rostrata (Linnaeus, 1761), Lysianassa pilicornis Heller, 1866, Lutraria lutraria (Linnaeus, 1758), Lumbrineris latreilli Audouin & Milne Edwards, 1833, Scoletoma fragilis (O.F.Müller, 1776), Lumbrineris coccinea (Renier, 1804), Idunella picta (Norman, 1889), Liocarcinus pusillus (Leach, 1816), Leptosynapta inhaerens (O.F.Müller, 1776), Lepton squamosum (Montagu, 1803), Leptomysis lingvura (G.O.Sars, 1866), Chondrochelia savignyi (Kroyer, 1842), Leptocheirus pectinatus (Norman, 1869), Lepidochitona cinerea (Linnaeus, 1767), Lekanesphaera monodi (Arcangeli, 1934), Lekanesphaera levii (Argano & Ponticelli, 1981), Lasaea adansoni (Gmelin, 1791), Lanice conchilega (Pallas, 1766), Laevicardium crassum (Gmelin, 1791), Psamathe fusca Johnston, 1836, Jassa marmorata Holmes, 1905, Jasmineira elegans Saint-Joseph, 1894, Iphinoe trispinosa (Goodsir, 1843), Iphinoe tenella Sars, 1878, Iphinoe serrata Norman, 1867, Peringia ulvae (Pennant, 1777), Apohyale perieri (Lucas, 1846), Hyala vitrea (Montagu, 1803), Heterotanais oerstedii (Krøyer, 1842), Heteroclymene robusta Arwidsson, 1906, Hermodice carunculata (Pallas, 1766), Hemilepton nitidum (W.Turton, 1822), Hediste diversicolor (O.F.Müller, 1776), Harpinia crenulata (Boeck, 1871), Harmothoe reticulata (Claparède, 1870), Gouldia minima (Montagu, 1803), Goniada maculata Örsted, 1843, Glycera unicornis Lamarck, 1818, Glycera tridactyla Schmarda, 1861, Glycera capitata Örsted, 1842, Glycera alba (O.F.Müller, 1776), Gattyana cirrhosa (Pallas, 1766), Gari fervensis (Gmelin, 1791), Exogone verugera (Claparède, 1868))"
 ]
}

 The dataset's 107 records were derived from 57 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000709-250226211154957/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kr7w6s
title: Occurrence Download

description: A dataset containing 60 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Brachypodius priocephalus (Jerdon, 1839)"
 ]
}

 The dataset includes 60 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000714-250226211154957/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/jhxfpzcjsc.1
title: Dataset for Cost Benefit Analysis of Re-Developing the Panguna Copper-Gold Mine in Autonomous Region of Bougainville

description: The data comprise of historical and conceptual financial and fiscal revenues from the former Panguna copper mine and a hypothetical model of the option of re-developing the remaining resource of the Panguna copper-gold deposit. The data presented are summaries of the financial flows and direct revenue generated (both historical and conceptual) from sources as indicated.
DOI: 10.17632/nbj7w6t4sv
title: Spatiotemporal Patterns and Environmental Drivers of Wildlife-Vehicle Collisions in Banke National Park, Nepal

description: Wildlife vehicle collision records
DOI: 10.17632/nbj7w6t4sv.1
title: Spatiotemporal Patterns and Environmental Drivers of Wildlife-Vehicle Collisions in Banke National Park, Nepal

description: Wildlife vehicle collision records
DOI: 10.17632/shj94nrczy.1
title: Spam E-mail and Phishing Detection

description: This data includes spam e-mail and phishing detection dataset for cybersecurity research projects
DOI: 10.17632/nzxxt7vkrw.1
title: Data for "Quantum transport in an ambipolar InSb nanowire quantum dot device"

description: The data file is for supporting the article "Quantum transport in an ambipolar InSb nanowire quantum dot device" on Physical Review B.
DOI: 10.15468/dl.gcfxn6
title: Occurrence Download

description: A dataset listing the 62 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Portugal",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Exogone naidina Örsted, 1845, Eusyllis blomstrandi Malmgren, 1867, Eurydice pulchra Leach, 1816, Eupolymnia nebulosa (Montagu, 1819), Leodice harassii (Audouin & Milne Edwards, 1833), Eulalia bilineata (Johnston, 1840), Macroclymene santanderensis (Rioja, 1917), Euclymene palermitana (Grube, 1840), Euclymene oerstedii (Claparède, 1863), Euclymene lombricoides (Quatrefages, 1866), Eteone longa (Fabricius, 1780), Hypereteone foliosa (Quatrefages, 1865), Erinaceusyllis erinaceus (Claparède, 1863), Ericthonius punctatus (Spence Bate, 1857), Elasmopus rapax A.Costa, 1853, Echinocyamus pusillus (O.F.Müller, 1776), Ebalia tumefacta (Montagu, 1808), Dodecaceria concharum Örsted, 1843, Diogenes pugilator (Roux, 1828), Dialychone acustica Claparède, 1868, Cyathura carinata (Krøyer, 1847), Ctenodrilus serratus (Schmidt, 1857), Crassicorophium crassicorne (Bruzelius, 1859), Varicorbula gibba (Olivi, 1792), Leiochone leiopygos (Grube, 1860), Cirriformia tentaculata (Montagu, 1808), Cirratulus cirratus (O.F.Müller, 1776), Parthenina terebellum (R.A.Philippi, 1844), Cheirocratus sundevallii (Rathke, 1843), Kirkegaardia serrata (Eliason, 1962), Caulleriella alata (Southern, 1914), Caprella acanthifera Leach, 1814, Calyptraea chinensis (Linnaeus, 1758), Callista chione (Linnaeus, 1758), Bradabyssa villosa (Rathke, 1843), Bodotria scorpioides (Montagu, 1804), Bodotria arenosa Goodsir, 1843, Bittium reticulatum (da Costa, 1778), Berthella plumula (Montagu, 1803), Pista maculata (Dalyell, 1853), Ascidia conchilega Müller, 1776, Arabella iricolor (Montagu, 1804), Apseudopsis latreillii (Milne Edwards, 1828), Apseudes holthuisi Bacescu, 1961, Apohyale prevostii (H.Milne Edwards, 1830), Apherusa jurinei (H.Milne Edwards, 1830), Aphelochaeta filiformis (Keferstein, 1862), Aonides oxycephala (Sars, 1862), Anthura gracilis (Montagu, 1808), Antalis vulgaris (da Costa, 1778), Amphipholis squamata (Delle Chiaje, 1828), Apolochus neapolitanus (Della Valle, 1893), Ampharete acutifrons (Grube, 1860), Ampelisca spinipes Boeck, 1861, Ampelisca diadema (A.Costa, 1853), Ampelisca brevicornis (A.Costa, 1853), Amaeana trilobata (Sars, 1863), Alkmaria romijni Horst, 1919, Acanthocardia echinata (Linnaeus, 1758), Abra alba (W.Wood, 1802))"
 ]
}

 The dataset's 62 records were derived from 47 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000710-250226211154957/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/6rkwk7fj69
title: ORIGINAL

description: ORIGINAL
DOI: 10.17632/6rkwk7fj69.1
title: ORIGINAL

description: ORIGINAL
DOI: 10.6084/m9.figshare.27308826
title: <b>Functional diversity explains ecosystem carbon storage in subtropical forests</b>

description: The research site was located in Dianjiang County of Chongqing (29°38′-30°31′ N, 107°13′-107°40′ E), with a typical subtropical monsoon climate; it is a biodiversity hotspot area. The region has an altitude ranging from 320 to 1,183 m, a mean annual temperature of 17.1 °C, and a mean annual precipitation of 1,200 mm. The forest types at the study site included coniferous forest, coniferous and broad-leaved mixed forest, and broad-leaved forest. Fifty-four plots were chosen for the study site.
DOI: 10.6084/m9.figshare.27308826.v4
title: <b>Functional diversity explains ecosystem carbon storage in subtropical forests</b>

description: The research site was located in Dianjiang County of Chongqing (29°38′-30°31′ N, 107°13′-107°40′ E), with a typical subtropical monsoon climate; it is a biodiversity hotspot area. The region has an altitude ranging from 320 to 1,183 m, a mean annual temperature of 17.1 °C, and a mean annual precipitation of 1,200 mm. The forest types at the study site included coniferous forest, coniferous and broad-leaved mixed forest, and broad-leaved forest. Fifty-four plots were chosen for the study site.
DOI: 10.17632/8h7sgbjcsg.1
title: База данных свойств пористых материалов на основе трижды периодических минимальных поверхностей

description: В рамках работы по проекту РНФ № 23-79-10044 были сгенерированы 13 трижды периодических минимальных поверхностей(ТПМП). Сгенерированные поверхности представлены в сопроводительных материалах. Также в сопроводительных файлах размещена база данных с результатами вариантного анализа, по результатам которого были отобраны 5 оптимальных ячеек ТПМП. Для отобранной группы оптимальных ячеек проведено дополнительные исследования и определены зависимости теплофизических характеристик от геометрических характеристик и свойств каркаса (безпористого материала). 

As part of the work on the project RSF № 23-79-10044, 13 Triply periodic minimal surface (TPMS) were generated. The generated surfaces are presented in the accompanying materials. Additionally, the accompanying files contain a database with the results of the variant analysis, based on which 5 optimal TPMS cells were selected. For the selected group of optimal cells, additional studies were conducted, and dependencies of thermal-physical characteristics on geometric characteristics and properties of the framework (porous material) were determined.
DOI: 10.17632/8h7sgbjcsg.2
title: База данных свойств пористых материалов на основе трижды периодических минимальных поверхностей

description: В рамках работы по проекту РНФ № 23-79-10044 были сгенерированы 15 трижды периодических минимальных поверхностей(ТПМП). Сгенерированные поверхности представлены в сопроводительных материалах. Также в сопроводительных файлах размещена база данных с результатами вариантного анализа, по результатам которого были отобраны 10 оптимальных ячеек ТПМП. Для отобранной группы оптимальных ячеек проведено дополнительные исследования и определены зависимости теплофизических характеристик от геометрических характеристик и свойств каркаса (безпористого материала). 

As part of the work on the project RSF № 23-79-10044, 13 Triply periodic minimal surface (TPMS) were generated. The generated surfaces are presented in the accompanying materials. Additionally, the accompanying files contain a database with the results of the variant analysis, based on which 5 optimal TPMS cells were selected. For the selected group of optimal cells, additional studies were conducted, and dependencies of thermal-physical characteristics on geometric characteristics and properties of the framework (porous material) were determined.
DOI: 10.15468/dl.2qf2n6
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Sideritis cystosiphon Svent.)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2020"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000719-250226211518916/datasets/export for details.
DOI: 10.17632/ypmd6nwx6k.1
title: Expansion Growth of &lt;110&gt;-oriented Single Crystal Diamond

description: The morphology and quality characterization：Expansion Growth of &lt;110&gt;-oriented Single Crystal Diamond
DOI: 10.17632/vzfyk22fhn.1
title: Student Performance Dataset in AI course

description: This dataset contains student performance records from an Artificial Intelligence (AI) course conducted at Universiti Teknologi Malaysia (UTM). The data includes various academic performance metrics and demographic details of students enrolled in the course. This dataset is valuable for educational data mining, machine learning applications, and predictive analytics in AI education. This dataset can be used for AI-driven analysis of student performance, predicting academic success, and understanding factors that influence learning outcomes
DOI: 10.17632/x22x9w7n5s.1
title: Understanding Fitness App Continuance Usage

description: The study collects relevant data on fitness apps, investigating and empirically testing the factors that influence users' continued intention to use the app.
DOI: 10.17632/j2jcb8vf6n.1
title: LINF_040013900

description: Tetratricopeptide repeat-containing protein
Leishmania infantum (strain JPCM5)
DOI: 10.17632/j2jcb8vf6n.2
title: LINF_040013900

description: Tetratricopeptide repeat-containing protein | FAZ27; Leishmania infantum (strain JPCM5)