cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/7z5fxz6r6x.4
title: A South African Indian Population Group Dataset for Breast Cancer and BRCA1/2 Variants

description: The South African Indian population represents a different genetic admixture compared to that of mainland India. To date, comprehensive BRCA1/2 screening for this population group was not conducted. Furthermore, no information about the type of genetic abnormalities present within these genes are known. From this dataset, twenty-eight different pathogenic heterozygotes were detected in 32 of the 223 patients. The information was published with the recommendation that comprehensive familial breast cancer testing for South African Indian patients as the pathogenic variants seem to be family- rather than population-specific. However, a series of singly nucleotide polymorphisms and variants with an unknown clinical significance was also collected. Finally, clinical information was also supplied in addition to the genetic information about the tumour characteristics.
DOI: 10.17632/x48cwz364j.3
title: Tropical forest gunshot classification training audio dataset

description: DATA SOURCE LOCATION
Data were collected in tropical forest sites in central Belize. Data were recorded in Tapir Mountain Nature Reserve (TMNR) and the adjoining Pook’s Hill Reserve in Cayo District, Belize [17.150, -88.860] and Manatee Forest Reserve (MFR)   and surrounding protected areas in Belize District, Belize [17.260, -88.490].

FOLDERS
The folders contain audio files recorded between 2017 and 2021. The ‘Training data’ folder and the ‘Validation data’ folder contain two temporally distinct datasets, which can be used for model training and validation. The training folder consists of 80% of the total dataset, and the validation folder comprises the remaining 20%. Within each of these folders are two folders labelled ‘Gunshot’ and ‘Background’. 

FILES
The folders contain 749 gunshot files and over 35,000 background files. The files are in Waveform Audio File Format (wav), and are each 4.09 seconds long. The first 8 alphanumeric characters of the file name corresponds to the UNIX hexadecimal timestamp of the time of recording. Some files contain additional alphanumeric characters after these initial 8 characters, which were used as unique identifying numbers during processing and do not convey any additional information.
DOI: 10.17632/t6hz579sry.1
title: Data for "Accessing thermal conductivity of complex compounds by machine learning interatomic potentials"

description: Input files and raw output
DOI: 10.17632/rz6hh7h6kv.1
title: Supplementary Table 4 - Primary and secondary data summary

description: Primary and secondary data summary for systematic review titled "Medical therapies for pediatric lymphatic malformations: a systematic review"
DOI: 10.17632/fhv45wkpnd.1
title: Data for: The Taut String Approach to Statistical Inverse Problems: Theory and Applications

description: Matlab programs illustrating a novel taut-string based approach to statistical inverse problems
DOI: 10.17632/6zy6wxhf2v.1
title: K-Kotagiri (NRB) Avocado Leaf DataSet

description: The Avocado Image Dataset consists of 435 raw images showcasing both healthy and disease-infected avocados, with 216 images depicting avocados affected by various diseases and 219 images representing healthy specimens. Prior to annotation, the dataset underwent a splitting process with a ratio of 7:2:1 for training, validation, and testing respectively. Post-processing, all images were resized to 224x224 pixels. Annotation techniques, including vertical flipping, 90-degree rotation, and shearing, were exclusively applied during the training phase to enhance dataset diversity. The augmented dataset distribution across training, validation, and testing sets is outlined, showcasing a balanced representation of both healthy and diseased avocado images.
DOI: 10.15468/dl.j35hhm
title: Occurrence Download

description: A dataset containing 332 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((78.13451 4.54416,150.86549 4.54416,150.86549 55.45584,78.13451 55.45584,78.13451 4.54416))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Indosasa McClure"
 ]
}

 The dataset includes 332 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009332-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/jr24sjxhvs.1
title: Data for: Experimental data for thermal conductivity and dielectric properties of wood and wood-based materials

description: Experimental data for thermal conductivity and dielectric properties of solid wood and some wood-based materials.
DOI: 10.17632/bbmmm4wgr8.2
title: NDB-UFES: An oral cancer and leukoplakia dataset composed of histopathological images and patient data

description: The dataset collected contains histopathological images of oral squamous cell carcinoma and leukoplakia (represented by samples with and without epithelial dysplasia). It also contains sociodemographic data (gender, age, and skin color) as well as clinical data (tobacco use, alcohol consumption, sun exposure, fundamental lesion, type of biopsy, lesion color, lesion surface, and lesion diagnosis). A supplementary dataset consisting of patches of the captured histopathological images is also provided. The data were collected between 2010 and 2021 in patients managed at the Oral Diagnosis project (NDB) of the Federal University of Espírito Santo (UFES), Brazil.
DOI: 10.17632/477tf6zsp3.1
title: Soil data for Kericho County

description: The data provides baseline soil status of two sub-counties in Kericho County. The data is crucial for prescribing appropriate soil management regimes for enhanced productivity.
DOI: 10.17632/86v3z38dc7.1
title: Dataset for presuicidal signal detection

description: This dataset dedicated to find texts that contains information that helps to diagnosis person's suicide rating. The source of the data is the Russian Twitter.

The dataset has 5 categories:
1. Texts describing negative events that occurred with the subject in the past or in the present - messages that are factual, describing negative moments that can happen to a person, such as attempts and facts of rape, problems with parents, the fact of being in a psychiatric hospital, facts of self-harm, etc.
2. Current negative emotional state - messages containing a display of subjective negative attitude towards oneself and others, including a desire to die, a feeling of pressure from the past, self-hatred, aggressiveness, rage directed at oneself or others.
3. Messages about the intention of suicide - messages containing an explicit declaration of suicidal actions. Messages that contain questions about suicide methods also fall into the same category.
4. Messages with a suicidal theme - the text of messages that are not directly related to the user but have a suicidal topic.
5. Neutral is the category in which messages that are not included in the above list fall.
DOI: 10.17632/5bg6tjc3t9.2
title: Data for: Selective Sequestration of p-Arsanilic Acid from Water by Using Nano-hydrated Zirconium Oxide Encapsulated inside Hyper-cross-linked Anion Exchanger

description: Characterization and performance.
DOI: 10.17632/p2zrz6mpb9.2
title: Genetic disorders screening dataset

description: In this study, we prepared an open-access dataset including the prenatal screening tests of pregnant women’s findings who were referred to a special genetic clinic in Ahvaz city, the center of the province in the southwest of Iran, from the first trimester of pregnancy. The dataset with the diverse patterns of screening tests is a valuable and available resource that offers a precise analysis of data and disease coping strategies analysis considerable by health centers, health policy-makers, and researchers.
DOI: 10.17632/yjmryszxsy.1
title: Data for: Investors’ Attention and Platform Return in Chinese Peer-to-Peer Lending Market

description: P2P data
DOI: 10.17632/fmvc523fzc.1
title: AE Monitoring of Refill FSSW

description: The data is classified in three folders. The first one named “Original AE data” contains files generated by the Vallen acquisition unit. The *.pridb file contains the AE-data acquired with the acquisition setup. The *.tradb file contains the acquired waveforms. The *.vae file contains the analysis setup used during real-time monitoring. To open these files, researcher will need the vallen control panel release available in this link (www.vallen.de/downloads/). To facilitate the use of AE data, another folder named “Extracted AE database” is created, which contains extracted AE signal for the 78 spot welds. Data are TXT files. Some information is included in each file such as the sample rate, pre-trigger samples, the channel number (or sensor number) and the number of samples. The data starts from line 14 of the file, which is the amplitude in (mV). The time between two samples is calculated by inverting the sample rate (sampling frequency).
The third folder is dedicated to the database of welding parameters monitoring.
DOI: 10.17632/ycr7dpx3zr.1
title: Articles on Financial stability

description: The dataset includes bibliographic information of 2859 articles of the topic of Financial stability in the Scopus database
DOI: 10.17632/4fx8cjprxm.1
title: Turnigy Graphene 5000mAh 65C Li-ion Battery Data

description: The included tests were performed at McMaster University in Hamilton, Ontario, Canada by Dr. Phillip Kollmeyer (phillip.kollmeyer@gmail.com). If this data is utilized for any purpose, it should be appropriately referenced. A new 5Ah Turnigy cell (Turnigy Graphene 5000mAh 65C cell) was tested in an 8 cu.ft. thermal chamber with a 75amp, 5 volt Digatron Firing Circuits Universal Battery Tester channel with a voltage and current accuracy of 0.1% of full scale. The test methodology and files are described in detail in the readme file. /*************************************************/ A series of tests were performed at six different temperatures, and the battery was charged after each test at 1C rate to 4.2V, 5mA cut off for charge current, at battery temperature of 25degC The tests were performed as follows: 1. Four pulse discharge HPPC test (1, 2, 5, and 10C discharge and 1, 2, 5, and 10C charge, with reduced values at lower temperatures) performed at 100, 95, 90, 80, 70..., 20, 15, 10, 5, 2.5 % SOC. ("..._HPPC.mat") 2. C/20 Discharge and Charge test. ("..._C20DisCh.mat") 3. 0.5C ("..._Dis_0p5C.mat"), 2C ("..._Dis_2C.mat"), and two 1C ("..._Cap_1C.mat") discharge tests. The first 1C discharge test is performed before the UDDS cycle, and the second is performed before the Mix3 cycle. 4. Series of four drive cycles performed, in following order: UDDS(..._UDDS.mat), HWFET(..._HWFET.mat), LA92 (..._LA92.mat), US06 (..._US06.mat). 5. A series of eight drive cycles (mix 1-8) (..._Mixed#.mat) consist of random mix of UDDS, HWFET, LA92, US06. The drive cycle power profile is calculated for a single Turnigy cell in a compact electric vehicle. 6. The previous tests are repeated for ambient temperatures of 40degC, 25degC, 10degC, 0degC, -10degC, and -20degC, in that order. For tests with ambient temperature below 10degC, a reduced regen current limit is set to prevent premature aging of the cells. The drive cycle power profiles are repeated until 95% of the 1C discharge capacity at the respective temperature has been discharged from the cell 7. A series of 16 charges (charge 1-16) (..._Charge##.mat) store the cell charging before and after every drive cycle starting with an inital top up before doing the Cap_1C test
DOI: 10.17632/jm37jmh55d.1
title: Data for: Integrating material stock dynamics into economy-wide material flow accounting: concepts, modelling, and global application for 1900-2050

description: Supplementary data on the global socioeconomic metabolism, from 1900-2050. Further information in Wiedenhofer et al.
DOI: 10.17632/xnk7s6xgxz.1
title: From classification to matching: A CNN-based approach for retrieving painted pottery images

description: Recently artificial intelligence has begun to assist archaeologists in processing images of archaeological artifacts. We report a convolutional neural network approach to obtain feature vectors of painted pottery images by a preliminary classification machine learning of the cultural types. The model, trained on a photographic image dataset of Chinese Neolithic color-painted pottery, achieved 92.58% precision in assigning vessel images to corresponding archaeological types. The feature vectors contain information of vessel shape, color, and ornamentation design, based on which similarity coefficients for the images in the dataset were calculated. The quantitative measurement of similarity allows searching for the closest match to artefacts in the dataset, as well as a network of vessels in terms of similarity. This work highlights the potential of CNN approaches in curating of archaeological artifacts, providing a new tool assisting to study chronology, typology, decoration design, etc.
DOI: 10.17632/vrk6p4d4mp.2
title: Research data of 'Introducing CDRs to accommodate red-chips'

description: Research data of 'Introducing CDRs to accommodate red-chips'
DOI: 10.17632/ybhwtngzmm.1
title: Action potentials recorded from the L5 dorsal rootlet of rat using a multiple electrode array

description: This dataset is from a neural recording experiment conducted on a single adult female Sprague Dawley rat using a custom-made electrode array (10 wire hooks connected as isolated dipoles, with an effective inter-channel spacing of 1 mm) and commercial amplifiers and instrumentation. The dataset contains 20 recordings all of length 250 ms with a sampling rate of 50 kHz. The first 10 recordings were made with the animal at rest and are located in a folder called “Resting”, the filenames are timestamps that correspond to the time the recordings were started (1551.mat to 1608.mat). The second 10 recordings were made while the L5 dermatome was stimulated and are located in a folder called “Cutaneous Stimulation” and likewise the filenames are timestamps that correspond to the time the recordings were started (1554.mat to 1612.mat). The files are all stored as standard MATLAB data files are openable with a wide range of software packages including Python via the SciPy package. Within each data file there is a single vector called “rawdata” that is a 125,000 x 6 vector where the first column is a time vector and columns 2 thru 6 are Channel 1 thru Channel 5, where Channel 1 represents the most distal dipole, i.e the closest to the tail.
DOI: 10.17632/5nnw8xrh5m.1
title: Anti-PD-1 immunotherapy with ADT induces robust immune infiltration in Metastatic Castration-Sensitive Prostate Cancer

description: Data associated with manuscript "Anti-PD-1 immunotherapy with ADT induces robust immune infiltration in Metastatic Castration-Sensitive Prostate Cancer" -- includes .rds format Seurat object of gene expression matrix, with patient ID, treatment, timepoint, and cluster metadata, as well a Seurat object of inferred VIPER protein activity, with the same metadata annotations. Code used to perform all analyses is included, as well as folder containing ARACNe gene regulatory network files used for VIPER inference.
DOI: 10.17632/y74xtkk72z.1
title: Fused Deposition Modeling Defects

description: The following dataset is self curated and contains three crucial defects observed in fused deposition modeling (FDM) process. The dataset contains defects related to warping, layer delamination, gaps in raster lines. The following images are processed after undergoing various image pre-processing procedures. The dataset is very accurate and leads to very high accuracy results.
DOI: 10.17632/rpztyz22df.1
title: A predictive model using the mesoscopic architecture of the living brain to detect Alzheimer’s disease

description: The clinical, radiomics and genetic data to reproduce the key findings in "A predictive model using the mesoscopic architecture of the living brain to detect Alzheimer’s disease".

Alzheimer’s disease is the most common cause of dementia. It is a neurodegenerative disorder characterized by gradually progressive cognitive and functional deficits, as well as behavioral changes. The diagnosis of Alzheimer’s disease is often challenging leading to suboptimal patient care. In this study, we develop a new unsupervised analytic method based on the extraction of statistical features from multiple brain regions identified through structural magnetic resonance imaging data, which is able to reliably discriminate people with Alzheimer’s disease-related pathologies from those without. We provide a diagnostic tool that is ready to be integrated into the clinical decision support system without the need for additional sampling or patient testing.
DOI: 10.15468/dl.c8ypzj
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((95.36802 1.30761,121.63198 1.30761,121.63198 19.69239,95.36802 19.69239,95.36802 1.30761))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Kinabaluchloa K.M.Wong"
 ]
}

 The dataset includes 16 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009333-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/96sfy77s3z.1
title: Ria Formosa barrier island shorelines and long-term cross-shore rates between 1952 and 2014

description: These are results of the EVREST (Evolution and Resilience of Barrier Island Systems) project. http://evrest.cvtavira.pt/ Details on the analysis can be found in https://doi.org/10.1016/j.geomorph.2019.07.006 The morphological evolution analysis was based on aerial photographs that cover the period from 1952 to 2014. Distinct geomorphological units were digitised and analysed, using four boundaries: a) The ocean-side coastline (ca. Mean High Water Level: MHWL). The proxies used were the upper debris line or the beach scarp, in cases of debris absence. b) The dune line (ca. Mean Higher High Water Level: MHHWL), using the ocean-side limit of dune vegetation, as proxy for the position of the foredune foot. c) The backbarrier coastline in the lagoon-side (ca. MHWL). In backbarrier stretches with perched marshes, the limit between the upper-marsh vegetation and the barrier/dune was used, identified by the transition to bushy (more rugose, darker) vegetation. In backbarrier beaches, the debris line or beach scarp/dune limit (if no debris was present) were used. d) The marsh-edge line (transition from marsh to tidal flat; ca. MWL). In cases of vegetated tidal flats (e.g. seagrasses), the boundary between emergent and submerged vegetation was used, identified by differences in colour and texture. Otherwise, the edge of the marsh vegetation was mapped. The boundary lines of these 4 geomorphological units (1952-2014) are given in EVREST_Coastlines.kmz Weighted Linear Regression (WLR) cross-shore rates of these boundary lines (going from from seaward to landward a) ocean-side coastline, b) dune line, c) backbarier coastline and d) marsh-edge line) for 1952-2014 are given in EVREST_WLR_rates.kmz Weighted Least Squares Regression was performed on the entire dataset, using the Digital Shoreline Analysis Tool that defines the shoreline changes along transects, cast perpendicular to a reference baseline. Weighted Linear Regression (WLR) rates were preferred over simple linear ones, as they are weighted towards more accurate coastline positions. Coastline uncertainty (total position error) was assessed as the sum of squares of all measurement errors.
DOI: 10.17632/mgbkpx7fp2.1
title: Data for: Interpreting the oil risk premium: do oil price shocks matter?

description: Datasets and codes associate wih the paper "Interpreting the oil risk premium: do oil price shocks matter?". Detailed description of the data is contained in the .zip file
DOI: 10.17632/cdhw4wn5sy.1
title: Extrema for Bessel Functions of the First Kind, J
DOI: 10.17632/dzvbkttyw2.1
title: Appendices of Multicriteria decision-making methods for sustainable development: A longitudinal science mapping approach

description: This repository contains appendices to the master dissertarion " Multicriteria decision-making methods for sustainable development: A longitudinal science mapping approach" presented to the Programa de Pós-Graduação em Metrologia (Área de concentração: Metrologia para Qualidade e Inovação), PUC-Rio as partial fulfillment of the requirements for the degree of Mestre em Metrologia.
DOI: 10.17632/y4m8pnbh4j.1
title: Data for: Interventions for Paternal Perinatal Depression: A Systematic Review

description: This data file contains the results from a comprehensive systematic review of interventions addressing depression in men during the perinatal period.
DOI: 10.17632/46k9s9xyzr.1
title: Supplemental Figures for Publication titled "Focal Point Technology: Controlling Treatment Depth and Pattern of Skin Injury by a Novel Highly Focused Laser"

description: Supplemental figures for the JAAD submitted publication titled "Focal Point Technology: Controlling Treatment Depth and Pattern of Skin Injury by a Novel Highly Focused Laser"
DOI: 10.17632/sfcvgfhtyk.1
title: Data and codes for "Judgment Day: Algorithmic Trading around the Swiss Franc Cap Removal"

description: Data and codes for "Judgment Day: Algorithmic Trading around the Swiss Franc Cap Removal". See ReadMe file for details.
DOI: 10.17632/vdk5yr2m85.1
title: Cross-task differences in cortical activations for dynamic balance in neurotypical adults.

description: Included are 1) the resultant clustering locations for perturbation, sway referenced, and cross-task EEG sources, 2) the relative frequency band power for each participant of their respective fronto-central cross-task cluster, and 3) the relative frequency power for each participant of the source representing N1 or event-related response during the perturbation task.
Participants were randomized into two groups (cTBS over SMA, or SHAM cTBS; n = 10 each) and completed both standing balance tasks with eyes closed.
DOI: 10.17632/btgtshgrbh.1
title: Experiment data about AI Musicians

description: A total of 248 college student participants were recruited to participate in the experiment and fill in the questionnaire, of which 211 were valid and 37 were invalid (highlighted in red color).
DOI: 10.17632/brr59f798s.1
title: Data for: Graphene and graphene oxide as adsorbents for cadmium and lead heavy metals: a theoretical investigation

description: In the current study, we use periodic DFT and Gaussian type function basis sets to study the adsorption of two heavy metals that cause water pollution, namely: Cd and Pb onto graphene monolayers.
DOI: 10.17632/d2brgynfdw.1
title: From Man vs. Machine to Man + Machine: The Art and AI of Stock Analyses

description: Replication Code and Pseudo Data for "From Man vs. Machine to Man + Machine: The Art and AI of Stock Analyses" to be published in the Journal of Financial Economics.
DOI: 10.15468/dl.rmf6dh
title: Occurrence Download

description: A dataset containing 2855 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Prunus pensylvanica L.fil.",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is Specimen"
 ]
}

 The dataset includes 2855 records from 125 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009334-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.