cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/skf6w2s2h2.1
title: Local Spanish Leaf Dataset

description: 1. The Significance of Local Spanish in Horticulture and Disease Challenges.
In the horticulture industry, local Spanish leaves are highly valued for both their aesthetic value and economic significance. However, several that might harm these plants' well-being and productivity sometimes act as a barrier to their cultivation. Accurate and timely leaf Fresh and Non Fresh detection is necessary to lower these risks. The Local Spanish Leaf Dataset was developed in answer to this need, assisting scientists, horticulturists, and machine learning experts in identifying and classifying that affect local Spanish leaves. This collection includes high-resolution images of local Spanish leaves that display both healthy and diseased specimens. Notable ailments found in the dataset include Malabar spinach, water spinach, and red spinach that is not fresh. The dataset is further enhanced by the addition of metadata that provides vital contextual information about the locations and weather at the time of image capture. This contextual data enhances prediction model accuracy and is critical to understanding the mechanisms behind the onset of leaf Fresh and Non Fresh.
2. The Role of Deep Learning and Computer Vision.
There are several chances for classification and detection tasks in the local Spanish leaf disease dataset that can be handled by contemporary deep learning and computer vision techniques. 
3. A Comprehensive Dataset for Deep Learning in local Spanish leaf Disease Classification.
This dataset was produced specifically to support the development of advanced deep learning models. The dataset's classifications were created in collaboration with subject matter experts from a prestigious agricultural university to guarantee accuracy and relevance. 
4. Data Collection and Augmentation.
 3999 Pictures were taken at the Kaliakoir bazar, kaliakoir location in Gazipur, Dhaka, Bangladesh. Examples of red spinach fresh and non-fresh, Water spinach fresh and non-fresh, and Malabar spinach fresh and non-fresh were displayed in these pictures. To improve the dataset and expand the number of available data points, 2495 augmented images were created from the original photo collection. These improved samples were produced using a number of techniques, including flipping, rotating, shearing, brightness modification, and magnification.
DOI: 10.17632/9cg2mjtmyh.1
title: Small-Mammals NBS Dataset and Sampling design

description: Project funded under the National Recovery and Resilience Plan (NRRP), Mission 4 Component 2 Investment 1.4 - Call for tender No. 3138 of 16 December 2021, rectified by Decree n.3175 of 18 December 2021 of Italian Ministry of University and Research funded by the European Union - NextGenerationEU. Award Number: Project code CN_00000033, Concession Decree No. 1034 of 17 June 2022 adopted by the Italian Ministry of University and Research, CUP: H43C22000530001, Project title “National Biodiversity Future Center - NBFC”. 

To advance the national-wide objectives of the Spoke 5 (Urban Biodiversity) of the National Biodiversity Future Center - NBFC (National Recovery and Resilience Plan - NRRP, funded by the European Union – NextGenerationEU), a sampling design based on the use of a unique gradient of urbanization/green areas’ fragmentation has been developed in Italy. 
The classification of 1km2 cells in univocal classes of green area size-fragmentation is provided for six Italian cities (Turin, Milan, Florence, Rome, Naples, Campobasso) in the shapefiles folder “Size_fragmentation_gradient_urban_areas_Italy”.

We investigated the impact of urban green area spatial and habitat characteristics on the community composition of an indicator animal group to inform Nature-Based Solutions (NBSs) for urban biodiversity and sustainability enhancement. We analyzed data of small mammal community composition from three Italian metropolitan cities (Milan, Florence, and Rome), focusing on the distribution pattern of synanthropic and non-synanthropic species. Small mammal surveys were carried out using hair tubes in sampled areas located along the green area size-fragmentation gradient. Data on species presence/absence in each sampled cell are reported in the “Dataset_small_mammals” file.
DOI: 10.17632/2h9ns58g5f.1
title: Dataset on sleep, daily activity, and health status of older people.

description: Data were obtained using the Xiaomi Mi band device and assessment tools.
DOI: 10.17632/9tkcfbwff6.1
title: Field Electron Emission in the Atmospheric Pressure Range

description: Data related to calculation of field electron emission from microstructures in the atmospheric pressure range as well as enhancement factors from literature and breakdown voltage for microgaps. README files are included in each folder to aid the understanding of the datasets and how to use the codes. Please refer to those.
DOI: 10.17632/hjygss6sw2.2
title: MHSMA: The Modified Human Sperm Morphology Analysis Dataset

description: The MHSMA dataset is a collection of human sperm images from 235 patients with male factor infertility. Each image is labeled by experts for normal or abnormal sperm acrosome, head, vacuole, and tail. The training, validation, and test sets contain 1000, 240, and 300 images, respectively. Images are available in two different crop sizes: 128x128- and 64x64-pixel. In MHSMA, each instance is a grayscale image capturing a single sperm. The head of the sperm is roughly located at the center of the image. Also, the sperm tail is not entirely visible in the images. Labels can be either 0 (normal, positive) or 1 (abnormal, negative). This dataset is based on the Human Sperm Morphology Analysis Dataset (HSMA-DS). See the included README file or the GitHub repository (https://github.com/soroushj/mhsma-dataset) for more information.
DOI: 10.17632/vtfx27gwbz.1
title: PureMCTS.jl

description: Pure Julia implementation of the Monte Carlo Tree Seach algorithm. Designed to be used in connection with Environments.jl.
DOI: 10.17632/5wtxz793my.1
title: Real-time, automatic, open-source sleep stage classification system using single EEG

description: Raw data for the paper.
DOI: 10.17632/bshkvgbzpt.1
title: An India soyabean leaf dataset

description: In India from south region of Maharashtra state this crop is cultivated thrice in year. Soyabean plant is planted between the months of June through July, during the months of October and September during the rabi season, as well as in February. In the Maharashtrian regions of Pune, Satara, Ahmednagar, Solapur, and Nashik, among others, Soyabean plant is a common crop. In Maharashtra, Soyabean plant is grown over an area of around 31050 hectares. A dataset of healthy and insect damaged Soyabean plant leaves is presented in this publication. Images were taken over the course of fewer than two to three seasons on several farms. The dataset consists of seven folders with a total of 3363 images. The dataset is divided into 6 categories: I) Healthy plants II) Vein Necrosis III) Dry leaf IV) Septoria brown spot V) Root images VI) Bacterial leaf blight.
DOI: 10.17632/wfw79brn34.1
title: Vulgaris data

description: In the Vulgaris_data file you will find the raw data on which the analyses of the study ‘Cognitive abilities related to foraging behavior in Vepsula vulgaris (Hymenoptera: Vespidae) have been performed.
DOI: 10.17632/m4sbt8hbvk.1
title: Thermal image of equipment (Induction Motor)

description: --Contact email: m.najafi@nit.ac.ir --Babol Noshirvani University of Technology This is thermal images (IRT) dataset in the context of condition monitoring of electrical equipment--Induction Motors. All artificially generated defects are internal faults and depend on neither external pieces nor failure in initial setup components. For the induction motor, 8 different cases of short circuit failures in the stator windings, stuck rotor fault, and cooling fan failure are taken into account Thermal image acquisition is done at the workbench by a Dali-tech T4/T8 infrared thermal image camera at an Electrical Machines Laboratory at the environment temperature of 23°. To pave the way for future research or testing AI systems, the IR-image dataset has been developed and it has been made publicly available for use by researchers in this field. Regarding the reservation of the BNUT rights, referencing this page--doi--is a desideratum. In this work, a dataset of thermographic images representing 11 conditions for 3-Phase induction motors were introduced. Specifications of Camera and equipment which used for this very dataset are shown in tables 1, 2, and 3 in the Readme_InductionMotor.pdf.
DOI: 10.17632/xmpz3wv3vd.1
title: Identity Formation and Transformation of Chinese University Translation Teachers

description: Dataset includes interview transcripts, syllabi and lecture slides.
DOI: 10.17632/s9pb3h2cjy.1
title: UDDIPOK:  Reading Comprehension Based Question Answering Dataset in Bangla Language

description: The urgency of the online education system can be understood during the COVID-19 pandemic. The entire world, including Bangladesh, moved to online education and focused on developing automated systems. This dataset is created for developing automatic reading comprehension systems in the Bangla language. The dataset contains the following parameters:

1. A real-time and long passage (context) in the Bengali language is collected from different Bangla articles, novels, biography, etc.
2. Questions are generated based on the given passages.
3. Answers' text of the given passage and question.
4. The start index of the answer in the passage.
DOI: 10.17632/fvfkzv53h3.1
title: Data for: Molecular Statics Calculations of the Biases and Point Defect Capture Volumes of Small Cavities

description: This supplement details the interaction energies of self interstitial type defects with small vacancy clusters across a variety of crystal structures and interatomic potentials.
DOI: 10.17632/zhmsgrb45s.1
title: Sedimentological evidence of washover deposits from extreme wave events in Zamboanga del Sur, Mindanao, southern Philippines: Dataset

description: This dataset was used to analyze the coastal sediments from areas inundated during the 1976 Moro Gulf tsunami in relation to washover deposits of extreme wave events. The samples were collected from Pagadian City (PAG), Tukuran (TUK), and San Pablo (SAN) in the province of Zamboanga del Sur, Philippines. ---------------------------------- File name: Grain Size (Raw).xlsx Description: - raw grain size data - has three tabs based on the particle size method used (Wet sieve, Mastersizer, Camsizer) and an additional tab (Index) contains a summary of the succeeding tabs' contents File name: Grain Size Analysis.xlsx Description: - grain size analysis done on GRADISTATv8 (Blott, 2010) - has three tabs based on the particle size method used (Wet sieve, Mastersizer, Camsizer) and an additional tab (Index) contains a summary of the succeeding tabs' contents Folder name: Sample Location Description: - locations of the samples used in the study - Projected Coordinate System: WGS_1984_UTM_Zone_51N - Projection: Transverse_Mercator - Geographic Coordinate System: GCS_WGS_1984 - Datum: D_WGS_1984 Folder name: Logs Description: contains the high resolution .png files of the logs
DOI: 10.17632/jcycgvhm96.1
title: Forensic Genetic Genealogy Project v. 2022

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 December 31, 2022. 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/v6ksv75gk3.1
title: Alacranes Reef and Bajos del Norte reef ecological assesment

description: Data represent cover and fish abundance and biomass data obtanied through field survey techniques using SCUBA. fish_data.csv stores fish abundance and biomass data invertebrate_algae_data.csv stores invertebrates and macroalgae cover data
DOI: 10.17632/dxy5w2zfxv.1
title: Dataset from a systematic review evaluating efficacy of preoperative anxiolytic interventions

description: This is a dataset from a systematic review evaluating the efficacy of pharmacological and non-pharmacological interventions for preoperative anxiety and some other outcomes in adult patients schedule to any type of surgical procedure.
DOI: 10.15468/dl.x3ewm9
title: Occurrence Download

description: A dataset containing 48 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pritchardia pacifica Seem. & H.Wendl.",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is Specimen"
 ]
}

 The dataset includes 48 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009294-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/vytzhmm254.5
title: Ocean acidification metrics (pH and aragonite saturation state) in the Arctic Chukchi Sea from 2002 to 2018

description: This accession includes parameters of ocean acidification metrics (pH and aragonite saturation state) in the water column collected by international cruises as well as CHINARE cruises during 2002 to 2018. These data include measurements/calculations of temperature, salinity, depth, pH, and aragonite saturation state.
DOI: 10.17632/gczpg2cnxy.3
title: Kurdish Summarization Dataset (v2)

description: The first Kurdish summarization dataset is a comprehensive collection of summaries from over 40,000 news articles and headlines written in the Sorani dialect of the Kurdish language. The articles cover topics such as political, economic, sport, religion, science,  social, art and health. The dataset has been created to aid in the development and improvement of machine learning algorithms and natural language processing systems for summarization task in the Kurdish language.
The dataset contains high-quality summaries that are created by human annotators. Each Summary is a considered version of the original article and headline, capturing its key information and important points in a concise manner.
With the help of this dataset, researchers and developers can train and evaluate their summarization models for the Kurdish language, which can lead to the creation of more accurate and effective summarization tools.  The dataset is a significant contribution to the development of natural language processing technologies for the Kurdish language and can open up new avenues for research and innovation in the field.
DOI: 10.17632/2vfdm42337.1
title: A Video Dataset of the Hand Gestures of Indian Sign Language Words used in Emergency Situations

description: The dataset includes videos files of the hand gestures of eight words (accident, call, doctor, help, hot, lose, pain, thief) from Indian sign language (ISL), commonly used to communicate during emergency situations. The data is useful for the researchers working on vision based automatic sign language recognition as well as hand gesture recognition. 

 All the words included in the dataset, except the word doctor are dynamic hand gestures. The videos in this dataset were collected by asking the participants to stand comfortably behind a black colored board and present the hand gestures, in front of the board.  A Sony cyber shot DSC-W810 digital camera with 20.1 mega pixel resolution has been used for capturing the videos.  

The videos have been collected from 26 individuals including 12 males and 14 females in the age group of 22 to 26 years. Two sample videos have been captured from each participant in an indoor environment under normal lighting conditions by placing the camera at a fixed distance. The dataset is presented in two folders with the original raw video sequences in one folder, and the cropped and downsampled video sequences in the other folder.
DOI: 10.17632/dpwtnmjpj5.1
title: pICNIK: A python package with isoconversional computations for non-isothermal kinetics

description: Isoconversional computations are widely-used methods to determine activation energies for thermally stimulated processes. pICNIK (python Isoconversional Computations for Non-Isothermal Kinetics) is an open-source module designed with the purpose of being a seed to a complete Python package to facilitate kinetic computations. It is object oriented with two classes: DataExtraction and ActivationEnergy. Five isoconversional methods were implemented: Friedmann's method, the Kissinger-Akahira-Sunose method, Ozawa-Flynn-Wall method, Vyazovkin and advanced Vyazovkin. This module allows to compute the activation energy from thermogravimetric data in minutes and the results can be exported as spreadsheet format or comma separated values files instead of traditional tedious and time consuming data processing. The module was validated with simulated data and two study cases: vaporization of n-decane and the thermal degradation of polypropylene.
DOI: 10.17632/j2t89njrft.1
title: Can ChatGPT Vision Diagnose Melanoma? An Exploratory Diagnostic Accuracy Study - Supplemental material

description: - Mendeley Supplemental Table 1. Raw study data Including ISIC image ID, Histopathologically Confirmed Diagnosis, Top-3 Differential Diagnoses by ChatGPT Plus, and corresponding Top-1 and Top-3 diagnoses evaluations (0=No, 1=Yes).
- Mendeley Supplemental Figure 1. Representative examples of images from the dataset.
- Mendeley Supplemental Figure 2. Examples of images of falsely diagnosed pigmented lesions by ChatGPT Vision.
DOI: 10.17632/n3khb4bhs6.1
title: Indium partitioning between silicate melts and magmatic fluids: implications for indium ore genesis and the tracing of magma degassing

description: Data for the manuscript titled "Indium partitioning between silicate melts and magmatic fluids: implications for indium ore genesis and the tracing of magma degassing" by Panlao Zhao et al.
DOI: 10.17632/mxnzxzc6v7.1
title: Million-Bubble Dataset

description: This dataset contains a million synthetic bubbles generated by the BubGAN algorithm. Each bubble information, such as aspect ration, rotation angle, circularity etc. are also included in this dataset. With the related image processing tool, this dataset can be used for synthetic bubbly flow generation with given flow boundary information. The related label information can be generated accordingly without additional manual labeling cost.
DOI: 10.17632/yznd2ky9r6.1
title: IrRep: Symmetry eigenvalues and irreducible representations of ab initio band structures

description: We present IrRep – a Python code that calculates the symmetry eigenvalues of electronic Bloch states in crystalline solids and the irreducible representations under which they transform. As input it receives bandstructures computed with state-of-the-art Density Functional Theory codes such as VASP, Quantum Espresso, or Abinit, as well as any other code that has an interface to Wannier90. Our code is applicable to materials in any of the 230 space groups and double groups preserving time-reversal symmetry with or without spin-orbit coupling included, for primitive or conventional unit cells. This makes IrRep a powerful tool to systematically analyze the connectivity and topological classification of bands, as well as to detect insulators with non-trivial topology, following the Topological Quantum Chemistry formalism: IrRep can generate the input files needed to calculate the (physical) elementary band representations and the symmetry-based indicators using the CheckTopologicalMat routine of the Bilbao Crystallographic Server. It is also particularly suitable for interfaces with other plane-waves based codes, due to its flexible structure.
DOI: 10.17632/8g7tc7m7xh.1
title: A Study on the Behavior of Tarim Pigeon during Reproductive Period

description: Compared with other birds, pigeons have special breeding characteristics, with neighbouring breeding cycles crossing each other. The male and mother pigeons build the nest together, usually after the mother pigeon lays eggs, the male and mother pigeons take turns to incubate the eggs, and after the young pigeons come out of the shell, the male and mother pigeons secrete pigeon's milk and feed the pigeons together. Parental pigeons in the breeding period including egg-laying, incubation and feeding three stages, breeding behaviour in addition to incubation, feeding, feeding, drinking, feathering, rest and other behaviours, there are also parental pigeons combing each other's feathers, kissing and other intimate behaviours. Pigeon behaviour has a certain diurnal rhythm, active during the day and silent at night. Artificial feeding has an effect on pigeon behavioural rhythms, and we will use this study to provide advice to keepers to help them better understand and manage pigeon behaviour and improve the feeding management of caged pigeons, thereby improving feeding efficiency and production outcomes.
DOI: 10.17632/6j87tgp825.2
title: Methane emissions from agricultural ponds are underestimated in national greenhouse gas inventories

description: This repository contains data, maps, and codes generated in the paper:

Malerba, M. E., Kluyver, T. d., Wright, N., Schuster, L., & Macreadie, P. I. (2022). Methane emissions from agricultural ponds are underestimated in national greenhouse gas inventories. Communication Earth & Environment.