cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/82969bsmw4.3
title: Forensic Genetic Genealogy Project v.JUN2023

description: This research attempts to collect all publicly available information concerning cases that were successfully cleared through forensic genetic genealogy (FGG), going back as far as possible in time and ending on June 30, 2023. Cases were selected for inclusion in the sample through internet searches, discussion boards related to genetic genealogy, missing persons, and cold cases, as well as press releases and blog posts from private companies and non-profit organizations known to perform FGG, publications devoted to advances in forensic science, and published court records. Attempts were made to confirm each piece of data collected through three separate sources, whenever this was possible. Cases were chosen for inclusion in the sample only if a public authority had confirmed that FGG was used to clear the investigation, and the investigation met the following definition of FGG: 1. Investigative Body: The investigation was led by a public, and not a private, authority, such as a law enforcement agency or a coroner/medical examiner’s office. 2. Investigative Techniques: The investigation must use the techniques of genomics, computer database technologies, and traditional genealogy. Cases were included when family lineages were drawn out to at least three or more generations. The sample includes investigations that use Y-chromosome STR profiles and/or mitochondrial DNA profiles to trace the paternal and maternal lineages of persons of interest. Cases solved through familial searching of law enforcement databases were excluded from the sample, as this technique raises separate legal and ethical issues. 3. Investigative Purpose: The investigation must be for a forensic purpose, meaning that the evidence thus produced is relevant to an ongoing legal dispute. Most cases considered here are for the identification of perpetrators of criminal offences or the identification of decedents but can also include the identification of living does. Not included in this data are cases that are of purely historical interest, or the identification of unknown soldiers by military authorities. The term ‘forensic genetic genealogy’ has been chosen for this project in preference to the broader, and more generic term ‘investigative genetic genealogy’, which has also been used, to highlight the fact that these investigations are directed towards an ongoing legal dispute before the public legal system. 4. Causation: This database only includes cases that have been successfully cleared using FGG. The resolution of any investigation – particularly very large and lengthy investigations as were many of the cases described in this data – has many causes. To be included here, the FGG investigation must have played a significant causal role in the resolution of the case. More complete information about how the data was coded, as well as an annotated bibliography and a short digest of each case, can be found in the FGG User Manual.
DOI: 10.17632/t9vx4ddm5n.2
title: Replication Files for Does Exporting Improve Matching? Evidence from French Employer-Employee Data

description: The STATA do-files listed below allow the replication of all the tables and figures reported in the manuscript “Does Exporting Improve Matching? Evidence from French Employer-Employee Data”. The data used to obtain tables and figures have been acceded at CEPII via CASD secure remote access and are confidential. We are not allowed to disseminate these datasets.
DOI: 10.17632/fgk42n93ks.2
title: Bayesian network analysis for maintenance strategy selection

description: Maintenance strategy selection plays a key role in the efficient management of industrial assets. The objective of this research was to develop a Bayesian network-based maintenance strategy selection model using criteria from the scientific literature.
DOI: 10.17632/jpwtpv2c4s.1
title: Mango Leaf Disease Identification Dataset: (MLDID)

description: The Mango Leaf Dataset is a comprehensive collection of high-quality images of mango leaves, meticulously gathered from various regions of Bangladesh. Recognized as the national tree of Bangladesh, the mango tree, and its fruit, play a crucial role in the country's agriculture and economy, contributing billions of dollars each season and involving numerous farmers and consumers.

In the context of modern agricultural advancements, the implementation of Artificial Intelligence (AI) and Machine Learning (ML) has become increasingly significant. This dataset aims to facilitate such technological integration by providing a robust image dataset focusing on mango leaf health and disease detection.

Dataset Composition:

- Total Images:3000
- Image Resolution: 512x512 pixels
- Classes: 5
 1. Healthy Leaves: 600 images
 2. Gall Mid Disease: 600 images
 3. Die Back Disease: 600 images
 4. Bacterial Cancer Disease: 600 images
 5. Anthracnose Disease: 600 images

Each image in the dataset is captured with high clarity, ensuring the quality necessary for effective analysis in various technological applications, including but not limited to:
- Machine Learning
- Deep Learning
- Image Processing

This dataset is a valuable resource for researchers and practitioners aiming to develop advanced solutions for the detection and classification of mango leaf health and diseases, ultimately contributing to the improvement of agricultural practices and outcomes.
DOI: 10.17632/fzs5ph5p8s.1
title: CyTOF - MS Twin Study

description: Mass cytometry data of PBMCs of 57 monozygotic twin pairs discordant for multiple sclerosis. Samples were barcoded in two batches using a restricted combinatorial 9-choose-3 barcoding strategy using anti-CD45 mAbs. In addition to data of unmanipulated cells (surface panel) intracellular cytokine expression was determined in PBMCs of 25 twin pairs after ex vivo activation using phorbol 12-myristate 13-acetate and ionomycin (intracellular cytokine panel).
DOI: 10.17632/vmggyrfpr6.1
title: ENSO: O MENINO QUE AQUECE O MAR NO NATAL

description: El Niño is a climate phenomenon that occurs when the waters of the Equatorial Pacific Ocean
warm abnormally. During El Niño, initially warm waters accumulate in the central and eastern
Pacific region, with the change in the direction of the trade wind, they move from west (W) to east
(E), influenced by the counter-trade winds. . Excess heat released into the atmosphere changes
weather patterns around the world, which can cause intense rainfall, prolonged droughts, storms
and hurricanes. As warmed ocean waters release energy (heat) into the atmosphere, global
temperatures rise and affect all biodiversity. El Niño is part of a natural cycle called the El Niño-
Southern Oscillation (ENSO), which alternates with periods of cooler La Niña waters on an
irregular schedule. It has a significant impact on fisheries, affecting fish availability and the
livelihoods of coastal communities
DOI: 10.17632/cvkbvx448x.1
title: Supplementary Table 4

description: Raw data of degradation level for seventeen aromatic hydrocarbons after exposure of Jet A fuel to P. frederiksbergensis SI8 for 14 days at 4ºC and 28°C. SD, standard deviation of n=3.
DOI: 10.17632/vm3wt9tv9d.1
title: Macroeconomic Dataset for ASEAN

description: The dataset covers the macroeconomic facts of ten member countries, Brunei, Cambodia, Indonesia, Laos, Myanmar, Malaysia, Philippines, Singapore, Thailand, and Vietnam, of Associations of South East Nations (ASEAN) from 1967 to 2019. This dataset was extracted from the World Bank and Asian Development Bank databases. The primary goal of the dataset is to enhance our understanding of the macroeconomics trends in the ASEAN region. The understanding of the dependencies and causality associations among the key fiscal variables helps to formulate long-term sustainable economic policies and strategies to face any external shocks or global/regional financial crises. Thus, the data has critical applications for economic policymakers and financial institutions. The dataset raw files span over the past several decades, i.e., starting from 1967 to 2019, of individual countries, and from 1990 to 2019, for panel analysis of ASEAN10. Thus, it has a significant potential for future studies on the impact of fiscal policy, such as pre-crises, during crises, and post-crises periods of Global Financial crises, Asian Financial Crises, and specifically, the regional economic trends before the COVID-19 epidemic.
DOI: 10.17632/bd24sh4ngb.1
title: Real-world effectiveness of immune checkpoint inhibitors and BRAF/MEK inhibitors among Veteran cutaneous melanoma patients (Supplemental Appendix)

description: Supplemental methods and tables for the manuscript entitled "Real-world effectiveness of immune checkpoint inhibitors and BRAF/MEK inhibitors among Veteran cutaneous melanoma patients."
DOI: 10.17632/8rmhttf385.3
title: FinTech Index

description: Comprehensive data on the financial technology (FinTech) innovation practices implemented by publicly traded banks in Jordan.
The data were gathered through two methods: first, by utilizing "AntConc corpus processing software" and second, by manually collecting the annual reports from the official website of ASE or the individual banks' websites to ensure accuracy and validity. To accomplish the data gathering, a content analysis was performed on the annual reports of 15 banks spanning a ten-year period (2013-2022).
DOI: 10.17632/ssdf8grtpf.4
title: Pollen dataset from Cedar Keys, Florida, USA

description: This dataset contains the raw pollen counts of the 58 samples from cores CK-2 and SNK-2. The sampled core was taken from Cedar Keys, Florida, USA. For each sample, approximately 1 ml of sediment was used for pollen analysis. One tablet of Lycopodium spores containing 20,848 grains was added to each sample as an exotic marker to aid the calculation of pollen concentration (grains/cm3) following the formula: Pollen concentration = Pc ∗ La / Lc ∗ V. Where Pc is the number of fossil pollen counted, La is the number of Lycopodium spores added (20,848), Lc is the number of Lycopodium spores counted, and V is the volume of the sample. Approximately 300 grains of pollen and spores were counted for each sample by using an Olympus Light Microscope with a LC35 camera (3.5-megapixel CMOS sensor) in conjunction with ZEN Blue 2012 imaging software to photograph pollen grains under 1000x magnification. Cluster analysis dendrograms and pollen diagrams were plotted by using TILIA (v.1.7.16).
DOI: 10.15468/dl.6g8cuh
title: Occurrence Download

description: A dataset containing 1718 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Picea pungens Engelm.",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is Specimen"
 ]
}

 The dataset includes 1718 records from 123 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009179-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/7943zgtsr7.1
title: VISCHEMA-COMPLEXITY

description: A dataset for exploring two-dimensional scene complexity perception. One dataset (VISC-C) consists of 800 scene images with 800 corresponding complexity maps that reveal the regions of scenes that human observers find complex or simple. The other dataset (VISC-CI) examines complexity perception when the scenes are rotationally inverted, degrading the semantic content of the images. Both datasets also contain 800 complexity scores that sum up the overall complexity of the scene. Each dataset was gathered from 40 (disjoint) participants, with each scene image being viewed by 10 observers.
DOI: 10.17632/8cdwkhcsy7.1
title: Biometric data of arboreal individuals from ecotonal forests in eastern Maracá Island, northern Brazilian Amazonia

description: The database provides information on stem measurements of arboreal individuals (tree + palm) from ecotonal forests in eastern Maracá Ecological Station, a federal environmental protected area formed by Maracá Island and small islets in the Rio Uraricoera, State of Roraima, northern Brazilian Amazonia. 129 permanent plots (10 x 50 m each) were established along the six East-West grid trails of the Biodiversity Research Program (PPBio). All arboreal individuals with stem diameter ≥ 10 cm present in the plots were marked with numbered aluminum tags which were fixed by galvanized nails. Diameter measurements were performed using a diameter tape (model 283D / 5m). The dataset is available in a file xlsm showing the identification and geographical location of the sampling units (plots), year of each census (date), identification code of each arboreal individuals, point of measured (POM in mm), stem diameter (cm) and taxonomic group (tree or palm). This dataset was supported by project “Crescimento e mortalidade de árvores em florestas ecotonais de Roraima: efeito das condicionantes ambientais e da variabilidade climática” (Proc. CNPq n. 403591/2016-3). W.R.S. and H.L.S.F. were supported by postgraduate fellowships from PELD Program (CNPq/CAPES/FAPs/BC-Fundo Newton; Proc. n. 441575/2016-1). The Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq - Brazil) provided a fellowship for R.I.B. (Proc. CNPq 304204/2015-3), while C.D.A.V. was supported by postgraduate fellowship from the Organization of American States (OAS).
DOI: 10.17632/27vckf6mgk.3
title: Data for: optimization of a method for Anammox bacteria diversity analysis based on 16S rRNA gene amplicons with high-throughput sequencing

description: The template and taxonomic files of nxrB gene of Nitrospira for processing the high throughput sequencing data with the MOTHUR. 16S rRNA gene sequences of anammox bacteria from environmental samples.
DOI: 10.17632/9263pg2sfw.1
title: Replication Files for "Trade Networks and Firm Value: Evidence from the U.S.-China Trade War"

description: Replication Files for the paper "Trade Networks and Firm Value: Evidence from the U.S.-China Trade War" by Yi Huang, Chen Lin, Sibo Liu, and Heiwai Tang.
DOI: 10.17632/yhdtkszvgp.3
title: Euvsdisinfo dataset

description: EUvsDisinfo is the flagship project of the European External Action Service’s East StratCom Task Force. It was established in 2015 to better forecast, address, and respond to the Russian Federation’s ongoing disinformation campaigns affecting the European Union, its Member States, and countries in the shared neighbourhood.
Using data analysis and media monitoring services in 15 languages, EUvsDisinfo identifies, compiles, and exposes disinformation cases originating in pro-Kremlin media that are propagated across the EU and Eastern Partnership countries. 

EUvsDisinfo is the only searchable, open-source repository of its kind, and has two core objectives:

(1) To increase public awareness and understanding of the Kremlin’s disinformation operations;
(2) To help citizens to develop resistance to digital information and media manipulation.

As the data is not directly accessible for analysis, we scraped it using the Selenium and Beautiful soup Python’s packages. We retrieved 14 497 cases of Disinformation and their disproofs (information) from the 6th of January 2015 to the 22nd of November 2022.

Each case has seven attributes:

Date: Date of publication;
Links: Link to the article in the EUvsDisinfo database;
Title: Title of the disinformation article;
Outlets: Outlets of propagation;
Country: Target countries;
Disinformation: Text of Disinformation;
Information: Factual Information.
DOI: 10.17632/tt3yj2pf38.1
title: Human Sperm Head Morphology dataset (HuSHeM)

description: At the Isfahan Fertility and Infertility Center, semen samples were collected from fifteen patients. The sperm samples were fixed and stained using the Diff-Quick method. Using an Olympus CX21 microscope with objective lens × 1000 and a Sony color camera (Model No SSC-DC58AP), 725 images were taken. The resolution of each image was 576×720 pixels. From these images, the sperm heads were cropped and classified into five classes by three specialists. The classes are Normal, Pyriform, Tapered, Amorphous, and Others. After the classification, only the samples which there was a collective consensus about their class were kept in the dataset. Four classes of Normal, Pyriform, Tapered, and Amorphous are included in this dataset. The resulting dataset of sperm heads denoted as Human Sperm Head Morphology dataset (HuSHeM) consists of four folders, each corresponding to a specific set of sperm shapes. The folder names reflect the shape of the contained images. There are 54 Normal, 53 Tapered, 57 Pyriform, and 52 Amorphous sperm heads. The images of sperm heads are in RGB format with the size of 131×131 pixels.
DOI: 10.17632/bf74h628bs
title: Family positive communication data

description: Dyadic data in pairwise format of positive communication and being phubbed
DOI: 10.17632/fzkc96yxt6.2
title: Waiting List for Elective Surgeries: 10 Years of Demand Predictions per Specialty and Region in Chile

description: The dataset presented in this repository was created using de-identified historical surgical data (2012-2021) from 10 regional health services in Chile. To request access to the historical information, follow this link: https://www.portaltransparencia.cl/PortalPdT/ 

Data:
The dataset below covers the future predicted surgical demand (2022-2031) obtained through 100 ARIMA models considering the following specialties in each of the ten regions: Cardiology, head and neck, ear nose and throat, plastic surgery, gastroenterology, gynecology and obstetrics, neurology and neurosurgery, ophthalmology, traumatology, and urology and nephrology.
Furthermore, three different demand scenarios are provided per region, specialty, and year. The scenarios are low, medium, and high demand, considering a 95% prediction interval. 

The attached data table (8x1001) has the following structure:
Column 1 presents a numerical regional health service ID.
Column 2 presents a numerical specialty ID.
Column 3 presents the year of prediction.
Column 4 presents the predicted medium demand scenario.
Column 5 presents the predicted low-demand scenario.
Column 6 presents the predicted high-demand scenario.
Column 7 presents the regional health service name.
Column 8 presents the specialty name. 

Feel free to contact us if you have any questions about the dataset.
DOI: 10.17632/pb474r85gy.1
title: Data for: Bipolar membrane electrodialysis for energetically competitive ammonium removal and dissolved ammonia production

description: The used calculation sheets for the article "Bipolar membrane electrodialysis for energetically competitive ammonium removal and dissolved ammonia production "
DOI: 10.17632/schjsjfn3x.2
title: Data for 4 essential and 5 non-essential elements in fish collected in Arctic and sub-Arctic territories of the Nenets Autonomous and Arkhangelsk Regions of Russia

description: The data reported the concentration of essential and non-essential elements in fish coughed in Arctic and sub-Arctic territories of Arkhangelsk and Nenets Autonomous regions of Russia.
DOI: 10.17632/cbfdmj3k9c.2
title: Database, Data Dictionary, and Analysis Code - Preoperative Prognostic Factors of Residual Pain Following Total Joint Arthroplasty: A Systematic Review and Meta-Analysis Across and Within Major Joints

description: Data dictionary, source data and analysis code
DOI: 10.17632/fxxnwtmynv.1
title: Dataset to: Listening to a changing landscape: Acoustic indices reflect bird species richness and plot-scale vegetation structure across different land-use types in north-eastern Madagascar

description: Dataset (including plot parameters, acoustic index minute-based values, acoustic index median values and cumulated bird-species richness of plots) to the publication "Listening to a changing landscape: Acoustic indices reflect bird species richness and plot-scale vegetation structure across different land-use types in north eastern Madagascar".
DOI: 10.17632/p6rcwf4p9c.1
title: Named Entity Recognition words Dataset (Uzbek language)

description: Data for publication in Data in Brief
DOI: 10.17632/xhmjcfp2ym.1
title: Type 2 diabetes and Psychosocial determinants of achieving clinical targets

description: This dataset is from a project investigating the role diabetes self-management, knowledge and management self-efficacy have on clinical targets among Type 2 diabetes patients in Thailand. Data have been de-identified. The patient data is in the file MontiFinal.csv, and a description of the variables contained therein are provided in DataDictionary.xls
DOI: 10.17632/rsdmtwp37r.1
title: EnvironmentalWaveletTool: Continuous and discrete wavelet analysis and filtering for environmental time series

description: Abstract A MATLAB-based computer code has been developed for the simultaneous wavelet analysis and filtering of several environmental time series, particularly focused on the analyses of cave monitoring data. The continuous wavelet transform, the discrete wavelet transform and the discrete wavelet packet transform have been implemented to provide a fast and precise time–period examination of the time series at different period bands. Moreover, statistic methods to examine the relation between two sign... Title of program: EnvironmentalWaveletTool Catalogue Id: AETL_v1_0 Nature of problem Wavelet analysis has not been widely employed in environmental data since an easy program to specifically process this kind of time series does not exist. In recent years, wavelet analysis has been applied to some situations focused on specific problems and signals, but the extension of these wavelet-based methods to other particular problems is not always a trivial work. In fact, the application to other different situations requires a basic knowledge of the wavelet analysis and their implement ... Versions of this program held in the CPC repository in Mendeley Data AETL_v1_0; EnvironmentalWaveletTool; 10.1016/j.cpc.2014.06.011 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2018)
DOI: 10.17632/637s7mvsg7.1
title: Walking-Pose with Exoskeleton

description: We provide an RGB-D dataset with fine annotation on the detection of joint points during human walking, including 3588 pairs of RGB images and corresponding depth images. These RGB-D images are captured from persons walking freely and wearing the exoskeleton in different scenes.
The training set contains 2,870 pairs of RGB-D images, and the validation set contains 718 pairs of RGB-D images. We use Realsense D435i depth camera to collect images from actual scenes at Beihang University, and participants include six males and four females. These images are padded and resized to 512 x 512 to simplify the data loading process.
Each annotation contains eight human joint points. The annotation form of the dataset is organized as follows:
x1 y1 x2 y2 x3 y3 x4 y4 x5 y5 x6 y6 x7 y7 x8 y8 /n
...
Where,
x1 and y1 — left shoulder joint.
x2 and y2 — right shoulder joint
x3 and y3 — left hip joint
x4 and y4 — right hip joint
x5 and y5 — left knee joint
x6 and y6 — right knee joint
x7 and y7 — left ankle joint
x8 and y8 — right ankle joint
The label of an image is stored in a text file and associated by the file name.
DOI: 10.17632/xp277xg3t6.1
title: Supplementary Materials for "Reduction of masseter muscle prominence after treatment with onabotulinumtoxinA: primary results from a randomized phase 2 study"

description: Supplementary tables and figures for "Reduction of masseter muscle prominence after treatment with onabotulinumtoxinA: primary results from a randomized phase 2 study"
DOI: 10.17632/j8z5n3myxw.1
title: Investigación Juego y Evaluación Formativa

description: En esta carpeta se encuentran documentos excel con la codificación realizada en Atlas ti de acuerdo a las tres categorías del estudio. Qué aprendo, cómo aprendo y para qué aprendo. La codificación incluye a estudiantes y docentes participantes del estudio. También se incluyen Tablas resumen de los participantes como Tabla resumen de los códigos.