cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/6mwphmwy4z
title: Cloudflare Smoke Test (WithVPN) 30Aug2019 unaelslivecustomer (Dataset-1)
DOI: 10.5066/f7b27sch
title: Summer Activity Sensor Data from Collars Deployed on Female Polar Bears in the Chukchi Sea 1989 to 1995 and Southern Beaufort Sea 1989 to 2014

description: These are data collected from two types of activity sensors housed within collars deployed on female polar bears in the Chukchi and southern Beaufort Seas during the months of July through October between 1989 and 2014. Mercury tip-switches were deployed 1989 to 2009 and accelerometers were deployed 2009-2014. Activity sensor readings were related to habitats used by polar bears as described in the methods below.
DOI: 10.17632/kj897bzn9d
title: Data for: Selective transport of soil organic and inorganic carbon in eroded sediment in response to raindrop sizes and inflow rates in rainstorms
DOI: 10.17632/yb7zzgt3zh
title: Swim exercise in Caenorhabditis elegans extends neuromuscular and gut healthspan, enhances learning ability, and protects against neurodegeneration
DOI: 10.15468/dl.knsncq
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "OccurrenceStatus is Present",
 "TaxonKey is Megantereon Croizet & Jobert, 1828"
 ]
}

 The dataset includes 10 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051795-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14577905
title: Animal Image dataset for GAN pretraining

description: Dataset of various images of insects and other animals that can be used for pretraining neural networks (e.g. GANs).

It is compiled from:

https://github.com/xpwu95/IP102

https://www.kaggle.com/datasets/hammaadali/insects-recognitionhttps://www.kaggle.com/datasets/tarundalal/dangerous-insects-datasethttps://www.kaggle.com/datasets/gauravduttakiit/agricultural-pests-dataset
DOI: 10.5281/zenodo.14577906
title: Animal Image dataset for GAN pretraining

description: Dataset of various images of insects and other animals that can be used for pretraining neural networks (e.g. GANs).

It is compiled from:

https://github.com/xpwu95/IP102

https://www.kaggle.com/datasets/hammaadali/insects-recognitionhttps://www.kaggle.com/datasets/tarundalal/dangerous-insects-datasethttps://www.kaggle.com/datasets/gauravduttakiit/agricultural-pests-dataset
DOI: 10.15468/dl.xjmtxt
title: Occurrence Download

description: A dataset containing 91177 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Brassica rapa L."
 ]
}

 The dataset includes 91177 records from 924 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051794-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/xhbxyb9vpx
title: Stress-strain curves of aluminum 6061-T651 from 9 lots at 6 temperatures under uniaxial and plain strain tension

description: This dataset contains engineering stress-engineering strain curves of aluminum 6061-T651 test specimens prepared from bars of material from 9 lots available commercially. Multiple specimens from each lot were tested in steady-state tension at 6 different temperatures (i.e., the temperature was maintained constant through the test). The files are named with seven groups of characters according to the following format x_xxx_x_x_xxx_xxx_xx. The first letter indicates the specimen type - 'T' is for uniaxial tension and 'P' is for plane strain, the next three numbers indicate the temperature of the test, the next letter indicates the lot, the next number indicates the specimen number within that lot. These 4 groups of characters are enough to uniquely identify any file. The additional three groups of characters are for correspondence with the numbering scheme used while performing the tests and can be disregarded. The strains are obtained using digital image correlation using a 2-inch gauge length for the tension specimen and a 0.25-inch gauge length for the plane strain specimen. The strains are an average of several measurements (at approximately 350-micron intervals) across the width of the gauge section over the gauge length. The stresses are computed by using the force readings from the loading machine and cross-sectional area measurements of the test specimen.
DOI: 10.17632/6jzs66wb3d
title: Data for: Improving Heat Transfer Performance of an Automobile Radiator Using Cu and Ag Doped TiO_2 Based Nanofluids

description: The file covers the datasheet for the calculations and experimental results.
DOI: 10.17632/j9w8xgr6g9
title: 06Jun2019 mdgmatest3LiveCustomer MD-1637 (DraftDataset - 2)

description: Gmail user created dataset with London VPN Manchester user can see 100GB published a dataset ver 2 with 100GB
DOI: 10.15468/dl.jasseq
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Kazakhstan",
 "TaxonKey is Gymnospermium alberti (Regel) Takht."
 ]
}

 The dataset includes 20 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051796-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/pxgbv8w8tm
title: Data for: 3D numerical modelling of braided channel formation

description: The files are results from the main numerical simulation of the article. The files can be read by the freely downloadable program ParaView.
DOI: 10.15468/dl.6vjxkh
title: Occurrence Download

description: A dataset containing 9789 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "MediaType is Audio",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Lanius nubicus Lichtenstein, 1823, Spinus spinus (Linnaeus, 1758), Milvus migrans (Boddaert, 1783), Netta rufina (Pallas, 1773), Phasianus colchicus Linnaeus, 1758, Anas acuta Linnaeus, 1758, Aquila fasciata Vieillot, 1822, Branta ruficollis (Pallas, 1769), Bucephala clangula (Linnaeus, 1758), Chlidonias niger (Linnaeus, 1758), Ciconia nigra (Linnaeus, 1758), Falco columbarius Linnaeus, 1758, Glareola pratincola (Linnaeus, 1766), Haematopus ostralegus Linnaeus, 1758, Larus audouinii Payraudeau, 1826, Ichthyaetus audouinii (Payraudeau, 1826), Larus genei Brème, 1839, Mergus serrator Linnaeus, 1758, Plegadis falcinellus (Linnaeus, 1766), Anthus cervinus (Pallas, 1811), Aythya marila (Linnaeus, 1761), Buteo lagopus (Pontoppidan, 1763), Chlidonias leucopterus (Temminck, 1815), Falco vespertinus Linnaeus, 1766, Pandion haliaetus (Linnaeus, 1758), Chroicocephalus genei (Brème, 1839))"
 ]
}

 The dataset includes 9789 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051797-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.27961518
title: Acoustical Statistics of Zebra Finch Breeding Environments

description: These data are from a study of the effects of the early social-acoustical environment on auditory discrimination behavior and electrophysiological responses in the auditory pallium in zebra finches. As part of this study, we made acoustic recordings from our indoor zebra finch breeding colony and from acoustic isolation boxes that prevent birds from hearing the colony noise while still exposing them to the songs and calls of their parents and siblings. This dataset includes examples from these long recordings and summary statistics of the amplitude over the course of the full recordings. The raw recording data are too large to be deposited but can be made available upon request.
DOI: 10.17632/h4msh9dknn
title: MD-238 22Mar2019 ElsCustomer - V2 (25Apr2019)
DOI: 10.6084/m9.figshare.27961362
title: Effects of the Social Acoustical Environment on Zebra Finch Auditory Electrophysiology

description: These data are from a study of the effects of the early social-acoustical environment on the responses of neurons in the auditory pallium of zebra finches to conspecific songs presented on their own or embedded in synthetic colony noise. The data files include the stimuli used in the study and the spike time responses from single units recorded using extracellular electrophysiology.
DOI: 10.6084/m9.figshare.27961002
title: Zebra Finch Behavioral Discrimination of Conspecific Song in Noise

description: These data are from a study of the effects of the early social-acoustical environment on the ability of zebra finches to discriminate songs from other individuals in a background of colony noise. The data files include the stimuli used in the study and the operant trial logs for subjects during training and testing phases of the experiment.
DOI: 10.17632/2fcrmv6mhr
title: Data from digital morphometry of tumor nuclei in 107 uveal melanomas and correlations with BAP-1 status, monosomy 3, gene expression class and survival

description: Research data for Herrspiegel et al. "Digital morphometry of tumor nuclei correlates to BAP-1 status, monosomy 3, gene expression class and survival in uveal melanoma", published in Experimental Eye Research 2020 Feb 22:107987 Doi: 10.1016/j.exer.2020.107987 Cytologic features such as the shape and size of tumor cells can predict metastatic death in uveal melanoma and other cancers but suffer from poor reproducibility. With this data, we investigated the interobserver concordance of digital morphometry, and correlated the results with BRCA associated protein-1 (BAP-1) expression and BAP-1 gene mutation status, monosomy 3, gene expression classifications and patient survival in uveal melanoma. The average number of cells analyzed in each of 107 tumors, was 1957 (SD 349). Mean time consumption was less than 2.5 min per tumor. Identical morphometric classification was obtained for ≥85% of tumors in all twelve evaluated morphometric variables (κ 0.70–0.93). The mean nucleus area, nucleus perimeter, nucleus max caliper and nucleus to cell area ratio were significantly greater in tumors with low BAP-1 expression and gene expression class 2. Patients had significantly shorter survival if their tumors had low BAP-1 (Log- Rank p = 0.002), gene expression class 2 (p = 0.004), long nucleus perimeters (p = 0.031), long nucleus max calipers (p = 0.029) and high mean nucleus to cell area ratios (p = 0.041) as defined in the training cohort and then tested in the validation cohort. Long nucleus perimeters and long nucleus max calipers correlated with monosomy 3 (Pearson Chi-Square p = 0.006 and p = 0.009, respectively). Long nucleus perimeters also correlated with BAP-1 mutation (p = 0.017). We concluded that digital morphometry can be fast and highly reproducible, that for the first time, morphometry parameters can be objectively quantitated in thousands of cells at a time in sub-μm resolutions, and that variables describing the shape and size tumor nuclei correlate to BAP-1 status, monosomy 3, gene expression class as well as patient survival. The data is divided into a training cohort (n=27) and a validation cohort (n=80). Methods are described in the linked paper by Herrspiegel et al. Please reference this paper when using the data. Data is in part generated by the TCGA Research Network: https://www.cancer.gov/tcga.
DOI: 10.17632/yz742mjbv8
title: Partnership Working Across Sectors: A multi-professional perspective. Copy of Questionnaire.

description: Partnership Working Across Sectors: A multi-professional perspective. Copy of questionnaire. Journal of Integrated Care
DOI: 10.17632/cnszj6k2tz
title: Dataset on biomechanics of human supra-aortic trunks and abdominal visceral arteries harvested during autopsy

description: The supra-aortic trunks and the most critical visceral branches of the abdominal aorta (celiac trunk, superior mesenteric artery, and renal arteries) are responsible for the blood supply to the head, neck, superior limbs, and abdominal viscera. The atherosclerotic degeneration of those vessels or branches could eventually lead to a significant decrease in the blood flow to vital structures. That is the main reason why those arteries are currently common sites of endovascular manipulation. The knowledge about the resistance of these vessels' walls and their compliance is beneficial for the doctors who manipulate them and the industries that produce endovascular devices. The present dataset is a collection of uniaxial biomechanical tests from arteries harvested during the autopsy procedure of 27 adult donors. Samples from the brachiocephalic trunk, left common carotid artery1, left subclavian artery, celiac trunk, superior mesenteric artery, and renal arteries were collected for analysis whenever it was possible. A 2 cm long segment of each artery was collected and longitudinally opened to produce a flat tissue sample. Like the standardization used for aorta fragments previously published in literature2, the uniaxial tensile test utilized the INSTRON SPEC 2200 device and was coordinated by INSPEC software and SERIES IX software. The essential variables studied through this test are failure stress, failure tension, and failure strain. Each sample test generated a graph representing the relationship between stress and strain (elastic diagram). Notable findings: Although much smaller and seaming much more delicate than the aorta itself, some of its branches showed values of stress and tension higher than the ones observed in aorta fragments previously published in the literature by Monteiro e Nynomiya.3,4 DATA DESCRIPTION: Biomechanical Data: For each valid sample test, three documents were generated: 1. Stress X strain graph (all graphs contain a notification in their left upper corner about each sample's failure stress, strain (also called ultimate yield in the charts), and tension). 2. Table (excel file containing all the values related to the stress X strain graph) 3. A report from the Biomechanical test software containing details of the test All files related to valid biomechanical tests from these 27 cadaveric donors arteries were included in the present dataset. Unfortunately, some of the tensile tests were not considered valid as the samples slipped from the biomechanical test equipment clips.
DOI: 10.17632/wdkrmkrc5f
title: Geochronological and geochemical data for plutonic rocks of the Cretaceous-Eocene Mexican Magmatic Arc (CEMMA)

description: The data provided in this database were used to establish the temporality, composition and petrogenetic aspects of the so-called Cretaceous-Eocene Mexican Magmatic Arc (CEMMA). This magmatic arc is continuous throughout western Mexico and its understanding is critical to elucidating the tectonics of southwestern North America. The data were carefully compiled from the literature, including published articles, thesis works of various degrees, internal reports from mining companies, and to a large extent come from unpublished information generated by the working group (CONACYT Research Grant 49528-F). Unreliable data in relation to the methodology used and those where the information was inconsistent were not included.
DOI: 10.17632/wczrynjy4j
title: Data for: Induced Innovation in Clean Energy Technologies from Foreign Environmental Policy Stringency?

description: This dataset covers 32 countries from 1996-2011. We have created a large number of domestic clean technology innovation measures, using RTA form. Many control variables are also included, including "foreign" environmental policy stringency, institutional quality proxies, knowledge stocks, R&D per GDP, renewable energy production and consumption, and ICT / High tech exports. Please write authors before using this dataset and cite accordingly (Herman & Xiang, 2019b).
DOI: 10.17632/8bnhmmt29d
title: Data for Human evaluation of amphibian species: a comparison of disgust and beauty

description: This study deals with human perception of amphibians and their evaluation according to beauty and disgust. We further analysed the effect of stimuli traits on the evaluation. This dataset contains raw and Z-scores of disgust and beauty evaluation and measured morphological and colour traits of tested amphibians.
DOI: 10.6084/m9.figshare.25572459
title: poet_group.csv

description: The poet_group.csv file contains a list of poets and their associated racial or ethnic groups based on the poems published on poets.org. We have identified the racial and ethnic groups of poets using the “occasions” field, especially when the occasion is relevant to specific racial and ethnic groups. To align with US Census racial and ethnic categories, we selected the following occasions: "Asian/Pacific American Heritage Month” for Asian/Pacific Americans (APA), “Black History Month” or African Americans (AA), “Hispanic Heritage Month” for Latino/a/x American (LXA), and “Native American Heritage Month” for Native Americans (NA). To better follow US Census categories, we distinguished between Asians and Pacific Islanders by manually identifying poems by Pacific Islanders through a review of the descriptions of the poems. Therefore, in this paper, APA-AA represents Asian Americans without Pacific Islanders, while APA-PA denotes Pacific Islanders exclusively. In our study, ‘Others’ or ‘General’ poems represent works by poets who are not associated with the specific occasions we use to identify the underrepresented groups. Additionally, we have reassigned 329 poets to specific underrepresented groups after reviewing their biography pages on poets.org; however, these biographies are not detailed enough to distinguish the mixed-race identities recognized by the US Census. Upon determining the racial and ethnic categories of the poets, we organized their poems into the corresponding categories. However, we acknowledge that our grouping strategy may overlook some poems by underrepresented groups, despite its comprehensiveness.
DOI: 10.17632/xpznv8ntwk
title: Data for: Early Aged ECM and Tissue Stiffness Synergistically Modulate Cardiac Post-injury Response

description: Raw and processed data of Early Aged ECM and Tissue Stiffness Synergistically Modulate Cardiac Post-injury Response.
DOI: 10.17632/t99vs6dbyc
title: weblet-data push new dataset 2

description: Irony skateboard copper mug man braid, narwhal freegan chia coloring book tofu waistcoat hella food truck letterpress listicle poutine. Marfa kitsch butcher, poutine vexillologist selvage etsy enamel pin craft beer franzen church-key brooklyn selfies you probably haven't heard of them. Celiac pork belly beard, portland tattooed poke knausgaard bitters tilde messenger bag la croix pug shaman. Taxidermy literally helvetica hell of, migas cardigan chicharrones flexitarian hexagon tousled.
DOI: 10.17632/36t5r92ck4
title: Live On 02Apr2018 UnaElsCustomer - 1

description: Live On 02Apr2018 UnaElsCustomer - 1
DOI: 10.17632/tjxd7525bk
title: Data set of the paper "Soil degradation determines carbon and nitrogen release from peatlands"

description: The dataset contains annual N2O emissions, DOC concentrations, and fluxes from natural, drained, and rewetted peatlands under different land use (cropland, forest, and grassland).
DOI: 10.17632/p9x3hbv365
title: Structures of Neisseria meningitidis Cas9 Complexes in Catalytically Poised and Anti-CRISPR-Inhibited States. Wei Sun et al

description: original figures
DOI: 10.17632/z9dyrdhs7h
title: Aral Sea Basin boundary shapefiles

description: This dataset contains Aral Sea Basin boundary shapefiles and its sub-basins. The shapefiles are produced using data from HydroSHEDS project that provides watershed delineations at a global scale. Aral Sea basin has two major rivers, Syr-Darya and Amu-Darya, and their boundary shapefiles are included separately. Small sub-basins between these two major rivers were joined and merged to produce the Aral Sea Basin boundary.
DOI: 10.15468/dl.b7cake
title: Occurrence Download

description: A dataset containing 12242 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "MediaType is Audio",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Anthus trivialis (Linnaeus, 1758), Ardea alba Linnaeus, 1758, Aythya ferina (Linnaeus, 1758), Aythya nyroca (Güldenstädt, 1770), Buteo rufinus (Cretzschmar, 1829), Chlidonias hybrida (Pallas, 1811), Circaetus gallicus (Gmelin, 1788), Circus aeruginosus (Linnaeus, 1758), Circus cyaneus (Linnaeus, 1766), Coracias garrulus Linnaeus, 1758, Sylvia nisoria (Bechstein, 1792), Cygnus cygnus (Linnaeus, 1758), Falco peregrinus Tunstall, 1771, Hydrobates pelagicus (Linnaeus, 1758), Mergellus albellus (Linnaeus, 1758), Oenanthe isabellina (Temminck, 1829), Platalea leucorodia Linnaeus, 1758, Podiceps nigricollis C.L.Brehm, 1831, Puffinus yelkouan (Acerbi, 1827), Spatula querquedula (Linnaeus, 1758), Tadorna ferruginea (Pallas, 1764), Tringa totanus (Linnaeus, 1758), Vanellus vanellus (Linnaeus, 1758))"
 ]
}

 The dataset includes 12242 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051798-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/k63rk3j5by
title: AloNet Supplementary Repository

description: AloNet Author: Solam Lee (solam@yonsei.ac.kr) AloNet is a convolutional neural network based on U-Net that can identify the hair loss and the scalp area by analying clinical photograph. This model was developed for the automated calculation of the Severity of Alopecia Tools (SALT) score in assessment of patients with alopecia areata. This repository posts the Mendeley Supplementary Materials, the program code, and the relevant data used in the paper titled "Clinically Applicable Deep Learning Framework for Measurement of the Severity of Alopecia Tool Score in Patients with Alopecia Areata". Along with the programs in the "/Program/" directory, a total of 2716 pixelwise annotations used for train the hair loss identifier (mask) and the hair loss identifier (target) could be find in the "/Data/" directory. However, please note that the clinical photograph of the patients could not be made publicly available because of strict privacy regulation. Before using AloNet program with your dataset, you should convert your dataset into numpy files. One clinical photograph (saved in .jpg with RGB format) need each annotation for the scalp area (saved in .gif with black&white color) and the hair loss (saved in .gif with black&white color), respectively. Please make sure that they have same image size each other, or the conversion will fail. We are now currently working on several postprocessing algorithms for AloNet to be available for general use. The Flask web application and its code will be made available publicly when the program is ready to use.
DOI: 10.17632/xrjbpms6d3
title: Data for: Contribution of conservation units to Ecological ICMS generation for municipalities and environmental conservation

description: Total transfer os Ecological ICMS to the municipalities in the state of Minas Gerais, Brazil, by conservation units in 2015.