cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/yzw8wyx46r
title: Dataset for "Hippocampal BDNF mediated anxiety-like behaviours induced by obesogenic diet withdrawal."

description: This data was used in the production of the article entitled "Hippocampal BDNF mediated anxiety-like behaviours induced by obesogenic diet withdrawal." published in 2022 at Behavioural Brain Research (ISSN: 0166-4328) (DOI: 10.1016/j.bbr.2022.114077).

Abstract (DOI: 10.1016/j.bbr.2022.114077)
Obesogenic diets (ODs) consumption is associated with anxiety-like behaviour and negative changes in hippocampal BDNF. At the same time, interrupting OD intake, OD withdrawal (WTD), can bring health benefits, but previous studies reported the development of anxiety-like behaviours. The present work aimed to assess the relationship between anxiety-like behaviour with hippocampal BDNF in a WTD rodent model. Male Wistar rats (60d old) were fed a high-sugar/high-fat (HSHF) diet for 30d (n=32), and half of them were transitioned to a control diet for 48 h (n=16) afterwards. The control group (n=16) was fed a control diet across the whole experiment. Besides increasing anxiety-like behaviours and lowering sociability, the WTD led to an increase in BDNF in the dentate gyrus and the CA1 of the hippocampus. It also decreased locomotor activity in both OF and EPM, however, they did not significantly interfere with the other behavioural parameters analysed. Western blotting analysis revealed that the increase in BDNF likely occurred in the mature forms (14kD monomer and 28kD dimer). The mediation models analyses suggested that the effect of WTD on anxiety-like behaviour was driven by hippocampal BDNF, this mediation of effect was region-dependent. Our results also suggested that mature BDNF forms (14kD and 28kD) were responsible. The present work brought light to a possible new role for mature BDNF, although it is generally associated with beneficial features, it can also be part of the genesis of anxiety-like behaviours and sociability aspects on WTD models.

It contains the .csv file with the data used in the publication.

Researcher in charge: Debora Estadella
Researcher in charge of data collection: Breno Picin Casagrande
Date of data collection: 01/04/2018 - 1/12/2019
Financial support: CAPES - Brazil, FAPESP (2017/25420-3), CNPq
DOI: 10.17632/wmymrk79tg
title: Clip #26

description: Road footage recorded using Logitech C525 webcam on Perodua Kancil 660 EX. The recorded steering wheel angle and vehicle speed are in degree and km/h, respectively. For synchronization, road footage, steering wheel angle, and vehicle speed data are recorded in 1/30 second step size.
DOI: 10.17632/m755r38rhs
title: Data sets for " Experimental datasets on the extraction of functional ingredients from seaweeds for controlling bacterial infection"

description: Data set for "Experimental datasets on the extraction of functional ingredients from seaweeds for controlling bacterial infection" that linked to the article entitled " An innovative green approach to optimize the extraction of functional ingredients from Ulva lactuca and Ascophyllum nodosum: Safety studies. " which submitted to the food hydrocolloid journal
DOI: 10.6084/m9.figshare.2749120.v1
title: Mining Company's Global Supply Chain - Logistics Data for a Medium Size Excavator - Extended Dataset

description: The company which provided the dataset is the world leader in manufacturing of construction and mining equipment, diesel and natural gas engines, industrial gas turbines and diesel-electric locomotives. The current revenue of the company is estimated to be on the order of tens of billions and they sell products and parts via a worldwide dealer network. The company sells more than 3 million products and 700,000 parts in more than 20 countries around the world every year. They operate with more than 3,000 suppliers and 3,000 dealerships and their logistics operations alone are worth more than 60 million dollars per year.<br>The dataset provided is one example of supply chain problem for one product of the company - a medium size excavator. In the current dataset, the number of dealers, production facilities and shipping ports is the same as in the original problem; it is only the demand figures, the production capacities, the transportation times and costs and the sale prices that have been randomly generated. The figures have been generated according to a normal distribution with the same mean and standard deviation as in the original dataset (e.g. the demand figures have the same mean and standard deviation as those found in the original problem).<br>The dataset has been extended with 9 more years of demand distributions. The additional 9 years have been created with the same random problem generator. The purpose of the dataset is to provide more instances of the problem. The dataset may be interpreted as containing 10 years of demand for one product or the demand figures of 10 similar products. For instance, we adopted this dataset in a machine learning context to have a larger and more comprehensive training set.<br>
DOI: 10.6084/m9.figshare.923519.v3
title: Merged: NCI Thesaurus, selected openEHR archetypes and test patient data

description: File contains test patient data, represented as instances of selected openEHR archetypes [1], translated to owl. Additionally the file contains merged NCI Thesaurus [2]. File was generated in order to demonstrate how to transform structured eligibility criteria of clinical trials to SPARQL queries. The example queries [3] utilize the hierarchy of NCI thesaurus. The file accompanies the publication [4]. The translation of archetypes from adl to owl was done using the methods defined by L.Lezcano and K. Dentler [4,5].
DOI: 10.17632/64gkbz8bdb
title: Data for: On Farm Sheep Breed Classification Using Deep Learning

description: Sheep from four sheep breeds were recorded while being drafted on farm. Individual frames capturing sheep are grouped by breed. There are two folders one for raw frames with all types of variations (illumination, posture etc) and one for aligned sheep images with less variations
DOI: 10.17632/s2v84tvn96
title: Dataset of virtual and real-life visual experiences inside a museum: survey on visual perception with objective and subjective measures - Videos and Questionnaire results

description: The repository contains the videos and the complete results of the questionnaire used for the research activity "Perception of Light in Museum Environments: Comparison between Real-Life and Virtual Visual Experiences". A comprehensive discussion of the results obtained from the research activity can be found in the homonymous article published on (authors: A. Çevik, Z.T. Kazanasmaz, G. Tambellini, G. Salvadori, F. Leccese). The videos were recorded in the case study museum and, subsequently, used to produce a virtual visit experience for the subjects participating in the research activity. The questionnaire was used to assess differences in light perception due to differet visit experiences. For further details, please refer to the mentioned article.
DOI: 10.17632/g5k4dn7bcx
title: Data for: Fault detection and isolation of gas turbine engine using inversion-based and optimal state observers
DOI: 10.17632/pr2d4yn4dd
title: DSAIL Power Management Board: Powering the Raspberry Pi autonomously off the grid.

description: The files in this repository are the requirements for reproducing a power supply board to power the Raspberry Pi autonomously off-grid. The Raspberry Pi is a single board computer that runs on a complete Operating System. Its high processing capabilities and the ability to be interfaced with a lot of sensors makes it an ideal board for data collection and processing. When collecting data in the wild, away from the grid, we need to come up with ways to power the Raspberry Pi. The fact that the Raspberry   Pi is a single board computer means that care needs to be taken when powering it. At the Centre for Data Science and Artificial Intelligence, we have designed an autonomous power supply to power the Raspberry Pi in the field. The design files and software to run the system are contained in this repository. The file are divided into hardware and software. The 'Hardware' folder contains KiCad design files. The 'Software' folder contains setup instructions and programs to run the system.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                             .
DOI: 10.17632/tzk9n5cpsx
title: Travelers’ Word-of-mouth Intentions for Emerging Gastronomy Tourism Destinations

description: The entire description of this data set is available within the concerned research paper.
DOI: 10.17632/ytwjtc2sr7
title: Cooling Tower Data

description: Data collected with real-life components for demonstrating different controllers for cooling tower of a compression chilling machine. Comparison of control signal, accuracy of controller and energy consumption is seen.
DOI: 10.17632/xd6rhyw3n5
title: Bangla Twitter Dataset for Depression Analysis: Categorizing Emotions from Social Media Texts

description: The "Bangla Twitter Dataset for Depression Analysis: Categorizing Emotions from Social Media Texts" dataset is a comprehensive multi-label collection of Bangla-language tweets curated to analyze depressive tendencies and emotional states in social media texts. This dataset categorizes tweets into four distinct emotional labels: depressive, simple negative, neutral, and positive. It is specifically designed to facilitate research in mental health monitoring, sentiment analysis, and natural language processing for Bangla. By providing annotated examples across a spectrum of emotional expressions, BDSNP serves as a valuable tool for developing models that can detect and analyze depression and mood variations in Bangla social media content.
DOI: 10.17632/xzryjd5thf
title: Classification results of ML models with different inputs across five traffic sign datasets

description: A dataset of the classification results for five diverse ML models with five diverse inputs. The classification task is based on five existing traffic sign datasets. This dataset consists of five sheets, each sheet consists of 26 columns representing the ground truth class label and classification result labels. ML models are LeNet, AlexNet, ResNet50, VGG16, and ResNet18. Different inputs are original data, noise-added data (variance is 0.01^2), rotated data (5 degrees counterclockwise), shifted down (by 1 pixel) data, and shifted right (by 1 pixel) data. The five traffic sign datasets are the Chinese Traffic Sign Dataset (CTSD), the German Traffic Sign Recognition Benchmark (GTSRB), Traffic Sign Classification Dataset (TSCD), Turkey Traffic Sign (TTS) and Arabic Traffic Signs (ATS). The numbers of samples are 1994, 12630, 14628, 5313, and 9240, for CTSD, GTSRB, TSCD, TTS, and ATS, respectively.
DOI: 10.17632/hr8mc5d7gt
title: Data for: Bulk and surface DFT investigations of the electronic and magnetic properties of CsXNO (X = Mg, Ca and Sr) quaternary Heusler alloys

description: These are the raw Quantum-ESPRESSO input/output data files
DOI: 10.17632/662cfmfv87
title: The geopolitics of technology: evidence from the interaction between US and China

description: This data is used to conduct the study titled "The geopolitics of technology: evidence from the interaction between US and China." A description of the data exists in the study.
DOI: 10.6084/m9.figshare.8135402.v1
title: Dataset for: A Data-driven Approach to Detecting Change Points in Linear Regression Models

description: Change points appear in various types of environmental data---from univariate time series to multivariate data structures---and need to be accounted for in proper analysis and inference. The analysis of change points is challenging when no exact information about their number and locations is available, and statistical tests developed under such conditions often have low power identifying the change points. This paper provides a powerful, data-driven procedure for detecting at-most-$m$ change points in linear regression models by adapting a sieve bootstrap approach for a modified cumulative sum statistic. The new procedure does not assume a particular dependence structure nor a particular distribution of regression residuals. It employs a data-driven selection of the order of an autoregressive model and a robust estimation of the model coefficients. Our simulation studies show a competitive performance of the new bootstrap-based procedure compared with its asymptotic counterpart. We apply the new testing procedure to address an important environmental problem in Chesapeake Bay---severe oxygen depletion---and detect two change points in the relationship between the volume of low-oxygen waters and nutrient inputs to the bay during 1985--2017.
DOI: 10.17632/mn8vfr9bw2
title: Eggplant_Leaf_Disease_Dataset

description: Description
This dataset, titled Eggplant_Leaf_Disease_Dataset, consists of 3,300 high-resolution images of eggplant (brinjal) leaves classified into six categories. It was developed as part of an academic project by undergraduate students from the Department of Computer Science and Engineering, Netrokona University, Bangladesh.

The images are categorized into the following six classes:
- Eggplant Healthy Leaf
- Eggplant Insect Pest Disease
- Eggplant Leaf Spot Disease
- Eggplant Mosaic Virus Disease
- Eggplant Small Leaf Disease
- Eggplant Wilt Disease

Each category includes both original images and augmented images. All images are in JPG format and resized to 512x512 pixels using high-quality LANCZOS interpolation to preserve clarity and detail.

Data Augmentation

To enhance model performance and robustness, the following augmentation techniques were applied using PyTorch’s torchvision library:
- Random Horizontal Flip
- Rotation (±20 degrees)
- Color Jitter (brightness, contrast, saturation, hue)
- Random Resized Crop to 512x512

Use Cases

This dataset is ideal for:
- Image classification tasks
-Transfer learning model fine-tuning
- Data augmentation research
- Academic or student machine learning projects

License

This dataset is published under the Creative Commons Attribution 4.0 International (CC BY 4.0) license. You can use, share, and adapt the dataset with proper attribution.
DOI: 10.17632/vnwp2zywr8
title: Workshop

description: Workshop case study files
DOI: 10.17632/jzdw688cpn
title: IJPara24_217

description: Supplementary material and code used in the article: Modelling the small spatial scale questing abundance of Hyalomma lusitanicum Koch, 1844 (Acari: Ixodidae), vector of Crimean-Congo haemorrhagic fever virus
DOI: 10.17632/xbf5mrt7f2
title: Data for: Species delimitation and evolutionary reconstruction within an integrative taxonomic framework: a case study on Rhinolophus macrotis complex (Chiroptera: Rhinolophidae)

description: Raw data sets, including mitochondrial sequences, nuclear sequences, microsatellite data and GBS data used in this study.
DOI: 10.17632/tpzkkmfv3k
title: Geotagged and Timestamped images for Tourist Locations near Pune

description: The dataset contains 18 tourist locations from Pune City and images from respective locations with geotag data and timestamp data.
DOI: 10.17632/rjyrhjcpyt
title: LINF_160022000

description: U1 small nuclear ribonucleoprotein | U1-70K | RBP24; Leishmania infantum (strain JPCM5)
DOI: 10.17632/cc9yz93gfj
title: Electron transfer at birnessite/organic compound interfaces: mechanism, regulation, and two-stage kinetic discrepancy in structural rearrangement and decomposition

description: "Data-GCA-manuscript" includes the all raw data in the manuscript.
DOI: 10.17632/nv7jbmkynm
title: Dataset of Drought and Flood Impact on Croplands in Southeast Asia between 1980 to 2019

description: Droughts and floods have been intensified in recent years and adversely affected agriculture sectors, but only a handful of studies exist to assess their impacts on croplands and production. The purpose of our dataset is to help researchers and scientists to access the temporal climate data geographically and assess the climate change and its impact on croplands in the Monsoon Climate Region (MCR) and Equatorial Climate Region (ECR) of Southeast Asia (SEA) during the crop growing seasons over 40 years period. Here, we used TerraClimate global high-resolution gridded Palmer Drought Severity Index (PDSI) datasets in Google Earth Engine and assessed the droughts and floods and their impacts on rainfed croplands and crop production in SEA. The Global Food Security-support Analysis cropland data in the GEE was used to assess drought damages on rainfed croplands and crop production. We created over 47,192 grid points geographically with a 10 × 10-kilometer resolution, in order to calculate the drought and flood impact on rainfed croplands during the primary crop-growing seasons in the MCR and ECR of SEA. 

In this data  tree datasets were including, two raw data and Geographic Information System (GIS) shapefile data. The first raw  dataset folder contains monthly temporal Palmar drought Severity index (PDSI)  by country between 1980 to 2019, while the second raw gridded point dataset  covers average drought frequencies by 10 km × 10 km geographically in MCR (Myanmar, Thailand, Lao PDR, Cambodia, and Vietnam)  and ECR (Malaysia, Singapore, Indonesia, the Philippines, and Brunei Darussalam) regions with five years interval between 1980 to 2019 . The third data in GIS Shapefile format (GIS data folder) comprehends drought and their severities levels on rainfed croplands by country in SEA in 2010. The maps data in Maps folder which represents severity classes of drought and wet conditions (floods) impact on rainfed croplands, and the level of need for policy interventions by country in the MCR and ECR countries in SEA .
DOI: 10.17632/t6myjztj4h
title: Supplementary material 1: The utility of ChatGPT in generating patient-facing and clinical responses for melanoma

description: The following questions illustrate sample responses created by ChatGPT
DOI: 10.17632/y4ddvbvr43
title: Data for: Evaluation of ozone-based oxidation and solar advanced oxidation treatment of greywater

description: the used in in the evaluation of ozone-based oxidation and solar advanced oxidation treatment of greywater
DOI: 10.17632/bgn8x5y7g4
title: The effects of home telerehabilitation−based program on the cardiopulmonary function and quality of life in post-covid-19 patients

description: Raw data of COVID-19 home baesd telerehabilition
DOI: 10.17632/hp8j2ydzx7
title: Data UMKM Sumatera Bararat

description: Data yang bekaitan dengan penggunaan teknologi pada UMKM di Sumatera Barat
DOI: 10.6084/m9.figshare.12644900.v1
title: VW Session - 1. Extracted the iris region after iris detection

description: Records in 2019.
DOI: 10.6084/m9.figshare.13317341.v1
title: Supplementary Material for: A Consensus-Developed Morphological Re-Evaluation of 196 High-Grade Gastroenteropancreatic Neuroendocrine Neoplasms and Its Clinical Correlations

description: High-grade gastroenteropancreatic neuroendocrine neoplasms (GEP-NENs) are classified according to morphology as well-differentiated neuroendocrine tumours (NETs) G3 or poorly differentiated neuroendocrine carcinomas (NECs). Little data exist concerning which morphological criteria this subdivision should be based on. Uncertainty exists if the NEC group should be further subdivided according to proliferation rate. Clinical data on NET G3 and NEC with a lower Ki-67 range are limited. A total of 213 patients with high-grade GEP-NEN (Ki-67 &gt;20%) were included from the Nordic NEC Registries. Four experienced NET pathologists re-evaluated the cases to develop the best morphological criteria to separate NET G3 from NEC, assuming longer survival in NET G3. Organoid growth pattern, capillary network in direct contact to tumour cells, and absence of desmoplastic stroma were found to best separate NET G3 from NEC. Of 196 patients with metastatic disease, NET G3 was found in 12.3%, NEC with a Ki-67 &lt;55% (NEC &lt; 55) in 29.6%, and NEC with a Ki-67 ≥55% (NEC ≥ 55) in 56.6%. Only in 1.5%, the morphology was ambiguous. Of 164 patients receiving first-line chemotherapy, 88% received platinum/etoposide treatment. Response rate was higher for NEC ≥ 55 (44%) than that of NEC &lt; 55 (25%) and NET G3 (24%) (<i>p</i> = 0.025 and <i>p</i> = 0.026). Median progression-free survival was 5 months for all groups. Median overall survival was 33 months for NET G3 compared to 11 months for both NEC &lt; 55 and NEC ≥ 55 (<i>p</i> = 0.004 and 0.003). Specific morphological criteria can separate NET G3 from NECs and show prognostic significance. High-grade GEP-NEN patients stratified by morphology and proliferation rate demonstrate significant differences in response to chemotherapy and survival.
DOI: 10.17632/5xcwrr87gn
title: Supplemental Materials: A dermatologic assessment of 101 mpox (monkeypox) cases from 13 countries during the 2022 outbreak: skin lesion morphology, clinical course, and scarring

description: 
Supplement 1. Clinical images of skin lesions from patients with mpox infection reported to the AAD/ILDS Registry, including changes in morphology over time

Supplement 2. Treatment of mpox infection and co-infection among patients reported to the AAD/ILDS Registry
DOI: 10.17632/9zfd6t6tkx
title: Quantum rotor and its SU(3) realization

description: Abstract A simple FORTRAN program called ROTXSU3, which determines eigenvalues of the quantum rotor and the corresponding algebraic SU(3) model Hamiltonian, is introduced. General analytic expressions for matrix elements of the two Hamiltonians are given. These results are used to establish the equivalence of the SU(3) and rotor theories in the min(λ,μ) ≫ L limit, where λ and μ are SU(3) representation labels and L is the angular momentum. The results can also be used to study group expansion and defo... Title of program: ROTXSU3 Catalogue Id: ABFO_v1_0 Nature of problem Low-lying energy levels of well-deformed, even-even nuclei can be described by the rotational limit of the collective model and by the SU(3) shell model. The parameters of the rotor hamiltonian are the three principal moments of inertia. The corresponding SU(3) theory is obtained by taking the shell-model hamiltonian to be a linear combination of the operators L2, Xa3 and Xa4 which belong to the SU(3) -&gt; SO(3) integrity basis. The coefficients of these three rotational scalars are the parameters ... Versions of this program held in the CPC repository in Mendeley Data ABFO_v1_0; ROTXSU3; 10.1016/0010-4655(88)90174-9 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2019)
DOI: 10.17632/yh6cfhpjd7
title: Ground surface rock buckling cases

description: A collection of case history data collected from various sources of rock buckling (pop ups) at the ground surface in North America.
DOI: 10.17632/cg475bbzmf
title: Data for "Epigenetic profile of Japanese supercentenarians: a cross-sectional study"

description: This repository contains the data obtained through the study "Epigenetic profile of Japanese supercentenarians: a cross-sectional study". It includes the results of EWAS and mQTL analysis, the list of CpGs used for epigenetic age calculation, and the list of target regions of the bisulfite sequencing.