cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/4kycyfgxfh
title: Recursos educacionais abertos (REAs) sobre o Oceano

description: Recursos educacionais abertos (REAs) são materiais de ensino, aprendizagem e investigação em quaisquer suportes, digitais ou outros, que se situem no domínio público ou que tenham sido divulgados sob licença aberta e que permitam acesso, uso, adaptação e redistribuição gratuitas por terceiros, mediante nenhuma ou poucas restrições (UNESCO, 2002). O uso de REAs permite o compartilhamento, disseminação e preservação das informações produzidas e geradas (Costa, 2017), uma vez que eles ficam depositados e acessíveis em ambiente digital.
Foram levantados e sistematizados em uma tabela alguns REAs produzidos no Brasil relacionados aos sete princípios essenciais da Cultura Oceânica.
A tabela pode ser visualizada em: https://docs.google.com/spreadsheets/u/2/d/e/2PACX-1vSM-wJLFMcD4VAiK9h-a8N8gbG7WYvYe9srMApB9xubq_hfoqH-NLOPm-gMes1yRlpq2HTMMwQZhYD0/pubhtml?gid=0&single=true
DOI: 10.17632/95vgh7k4yk
title: When nature calls back: Sustaining behavioral change in rural Pakistan

description: In this replication package we include all relevant data and Stata code to replicate the article "When nature calls back: Sustaining behavioral change in rural Pakistan" published at the Journal of Development Economics, Volume 158, September 2022, 102933.
DOI: 10.17632/prs95bn8wj
title: Rural institutions, social networks, and self-organized adaptation to climate change

description: The data was collected from the Takoli Panchayat in the lower Kullu Valley of Himachal Pradesh, India in 2011. Our analysis includes 273 households, which comprises all households that engage in agriculture in Takoli. The data identified 46 crops. We divided these crops into five types: vegetables, fruit, seeds, food grains, and ‘others’; each represents a distinct combination of labor requirements, inputs, market risk, and climate risks. We then calculated the proportion of land that each farmer has devoted to each of the five main crop types across one agricultural year. This was calculated as the total land of each crop type under cultivation divided by the gross cropped area for each farmer. Based on these variables, we undertook hierarchical cluster analysis using wards linkage, from which we derived 5 “agricultural portfolios”. This included three portfolios that specialize in fruit, vegetables, and food grains and two that are diversified across crop types with an emphasis on either food grains or vegetables. Households were also asked to identify the other households in Takoli they interact with on any issue regarding agricultural production. We used this data to create a bi-directional social network (using igraph package in R). We then calculated several measures of network centrality to capture different aspects of a household’s integration within the broader network: degree, betweenness, and eigenvector centrality. Within the full sample of 273 households, 4 households have no linkages within the network (they have a degree of 0). As such, they have no possible value for betweenness or eigenvector centrality (n=269). We also asked if households interacted with the six institutions of interest in our study: the Agricultural Department, Horticulture Department, the Bajaura Field Research Station (linked to state agricultural universities), Regional Banks, the Block Development Office (the lowest level of the development bureaucracy), and the Panchayat (local governmental unit). To calculate the network distance between households and each institution included in our study, we created a second social network that includes both households and institutions as ‘nodes’. We then calculated the additive inverse of the network distance to each of the institutions: a distance of ‘-1’ indicates that a household interacts directly with a given institution, a distance of ‘-2’ indicates that a household interacts with a household that interacts with the institution, and so on. Households with no network relationships can have no network distance (n=269). However, one household reports a direct interaction with the agricultural department and thus has a network position with regard to this institution (n=270). Please see detailed description in the publication SI.
DOI: 10.17632/ymtf9znmfz
title: Predicting Vulnerability Inducing Function Versions Using Node Embeddings and Graph Neural Networks - Wireshark

description: ## Wireshark Vulnerability Prediction Dataset

This dataset is constructed by a team of researchers in Istanbul Techical University Faculty of Computer and Informatics, and used in the paper entitled as "Predicting Vulnerability Inducing Function Versions Using Node Embeddings and Graph Neural Networks". Please see the GitHub repository https://github.com/erensahin/gnn-vulnerability-prediction for more details on usage.

This dataset consists of two main parts:
* AST dumps which can be used as inputs for any Machine Learning model. (ast_input)
* Wireshark file changes and bugs (file_changes_and_bugs)

### ast_input

asp_input folder contains three files:

* ast_input.zip: This file is a compressed version of AST dumps in Python pickle format. You should use python pickle library to unpickle and use the data.
* node_embeddings_by_kind.pkl: Embedding vectors corresponding to AST node kinds in python pickle format.
* token_id_vocabulary.pkl: Map of token ids and their corresponding tokens in python pickle format.

### file_changes_and_bugs

file_changes_and_bugs folder consists of five files:

* wireshark_file_changes.csv: list of file changes made in wireshark repository. file changes are basicly commit-file pairs.
* wireshark_cve_bug_matching.csv: this entity maps CVE entries to bug ids in wireshark bug repository. This is scraped from https://www.wireshark.org/security/
* additional_bugs.csv: additional security related bugs that our team manually identified by investigating security advisories and bug reports.
* wireshark_bug_commit_matching.csv: this entity maps security bugs (vulnerabilities) to commits in wireshark source code repositry.
* wireshark_bug_inducing_file_changes.csv: this entity maps vulnerabilities in wireshark source files in terms of in which commit a vulnerability is induced and fixed.
DOI: 10.6084/m9.figshare.3528542.v1
title: Appendix B. The method used for extracting daily feeding times from studies on avian and mammalian herbivores.

description: The method used for extracting daily feeding times from studies on avian and mammalian herbivores.
DOI: 10.17632/hk9gwbknw6
title: Prescribing Indicator Study Data

description: Dataset for Prescribing Indicator Study
DOI: 10.17632/ntzym554jp
title: Watermelon Disease Recognition Dataset

description: (1) Crop diseases significantly impact agricultural productivity and quality, particularly in watermelon cultivation. Traditional disease diagnosis methods are time-consuming and subjective, creating a demand for efficient machine vision-based disease detection models. (2) We present a comprehensive watermelon dataset, including images of healthy watermelons and those afflicted by Mosaic Virus, Anthracnose, and Downy Mildew Disease. Collected in collaboration with experts on June 25, 2023, from the Regional Horticulture Research Station in Lebukhali, Patuakhali, Bangladesh. This dataset aids in early disease detection. (3) Watermelons are essential for global food security but face challenges like disease threats and limited farmer training. (4) Our dataset supports the development of advanced machine vision algorithms for early disease identification. It contains four watermelon classes: Mosaic Virus, Healthy, Anthracnose, and Downy Mildew, with 1155 original images and 5775 augmented images. (5) The dataset is accessible on the Mendeley repository, facilitating research and empowering farmers to protect watermelon production and agricultural stability.
DOI: 10.17632/rxsdfg8ct9
title: Dataset of Process Management in IoT Operating Systems: Cross-Influence between Processing and Communication Tasks in End-Devices

description: This dataset is provided as a supplement to the work entitled "Process Management in IoT Operating Systems: Cross-Influence between Processing and Communication Tasks in End-Devices", published in MDPI Sensors Journal. This work focus on process management in IoT Operating Systems from the Edge Computing perspective. Specifically, we have carried out an empirical study of the cross-influence between processing and communication tasks in sensor end-devices. We have performed a set of experimental tests by changing the Radio Duty Cycle (RDC), the Processing Task Duty Cycle (PTDC), the processing task type and the priority scheme of the different tasks. For each test, we obtain the average throughput, latency and wait time of the processing task. This way, we can evaluate the influence that the PTDC and the processing task type have in the communication performance. In addition, we can also evaluate the process management influence by changing the priority scheme. In the opposite direction, the RDC parameter is changed to evaluate its influence on the processing task wait time.
DOI: 10.6084/m9.figshare.18887153.v1
title: h-index values of authors in PubMed

description: h-index values of authors in PubMed
DOI: 10.6084/m9.figshare.21989792.v1
title: Supplementary Material for: Infants with Congenital Adrenal Hyperplasia Exhibit Thalamic Discrepancies in Early Brain Structure

description: Introduction: Patients with classical congenital adrenal hyperplasia (CAH) have prenatal and postnatal hormonal imbalances. To characterize the ontogeny of reported brain and behavior changes in older children with CAH, we aimed to study brain structure in infants with CAH compared to healthy controls. Methods: We performed neuroimaging in 16 infants with classical CAH due to 21-hydroxylase deficiency [8 males, gestational age 38.2 ± 1.7 weeks, post-conceptional age (PCA) 42.2 ± 3.0 weeks] and 14 control infants (9 males, gestational age 38.5 ± 1.8 weeks, PCA 42.5 ± 2.4 weeks) utilizing 3-Tesla magnetic resonance imaging. Regional brain volumes were adjusted for PCA and sex, along with an additional adjustment for total brain volume (TBV), for group comparisons by regression analyses [mean, 95% confidence interval (CI)]. The degree to which each brain region was differentiated between CAH and control infants was examined by relaimpo analyses, adjusting for all other brain regions, PCA, and sex. Results: Infants with CAH had significantly smaller thalamic volumes [8606 mm3, 95% CI (8209, 9002)] compared to age-matched control infants [9215 mm3, 95% CI (8783, 9647); β = -609; p = 0.02], which remained smaller after further adjustment for TBV. Upon further adjustment for TBV, the temporal lobe was larger in infants with CAH [66817 mm3, CI (65957, 67677)] compared to controls [65616 mm3, CI (64680, 66551); β = 1202, p = 0.03]. The brain regions most differentiated between CAH vs controls were the thalamus (22%) and parietal lobe (10%). Conclusions: Infants with CAH exhibit smaller thalamic regions from early life, suggesting a prenatal influence on brain development in CAH. Thalamic emergence at 8-14 weeks makes the region particularly vulnerable to changes in the intrauterine environment, with potential implications for later maturing brain regions. These changes may take time to manifest, meriting longitudinal study through adolescence in CAH.
DOI: 10.6084/m9.figshare.28044638.v4
title: Xenium Data for GitHub action

description: Data used for GitHub action for Panpipes
DOI: 10.6084/m9.figshare.18092822.v1
title: BSB Vehicle Dataset

description: The data contain a polygon shapefile (.shp format) with 122,567 polygons corresponding to the vehicles (car, bus, truck, and boat) in 0.24m spatial resolution image with 57,856x42,496 pixel dimensions. The original image was obtained by the Infraestrutura de Dados Espaciais do Distrito Federal - IDE/DF(2022). Geoportal/DF. Available at: https://www.geoportal.seduh.df.gov.br/geoportal/ (accessed on January 8, 2022). The vectors correspond to the image taken in 2016.<br><br>
DOI: 10.6084/m9.figshare.c.3622850_d3.v1
title: Additional file 1: of Deciphering the recent phylogenetic expansion of the originally deeply rooted Mycobacterium tuberculosis lineage 7

description: Is a table listing databases used for comparative analysis of WGS. (XLSX 12Â kb)
DOI: 10.17632/7rtjjgpwx9
title: Dutch Floriculture AI And Big Data Adoption

description: The dataset contains 100 farms and includes essential variables such as output yield, resource inputs (water, fertilizers, labor), climate variability, and the use of AI and Big Data technologies. Data were gathered through primary research and augmented with official reports on farms that use AI in floral output.
DOI: 10.17632/ms545phwc9
title: Data for: Preliminary Findings after Non-Surgical Management of Traumatic Cervical Spinal Cord Injury in a Nigerian Setting: Providing Optimum Patient Care While Saving Costs

description: Data showing the biodemographic and neurological parameters of 28 patients with traumatic cervical spinal cord injury
DOI: 10.17632/r5mmw9stf5
title: The effectiveness of motivational interview on resilience, purposefulness, and social interest among adolescent girls of the Middle school

description: The files stored in this section contain the raw data for Tables 1-5 of the article titled "The effectiveness of motivational interview on resilience, purposefulness, and social interest among adolescent girls of the Middle school".
DOI: 10.6084/m9.figshare.6741518.v3
title: Cohen et al. 2018 Molecular Ecology Haemoplasmas in wild rodents routes of transmission and infection dynamics: Raw Data

description: Raw data belongs to the publication: "Cohen et al. Haemoplasmas in wild rodents: routes of transmission and infection dynamics" Molecular Ecology, 2018
DOI: 10.17632/jb83j34x85
title: Multiscale erosion dynamics on shore platforms at Kaikōura Peninsula, South Island, New Zealand

description: This data presents erosion measurements across micro and meso-spatial at multi-temporal scales using Structure-from-Motion (SfM) photogrammetry derived point clouds (PCs) to understand morphological factors and processes controlling cross-scale erosion on the uplifted shore platforms at Kaikōura. The data covers erosion rates and size (volume) distribution of eroded products over two years across microscale (~0.01 m2) and mesoscale (> 0.01 m2) areas of inter-tidal shore platforms and marine terraces on Kaikōura Peninsula.
DOI: 10.6084/m9.figshare.3397603.v16
title: Custom toolbars and mini applications with Action Bar

description: The Action Bar ImageJ plugin facilitates creation of additional custom toolbars, using simple macro-like toolbar description file. Readers will learn how to setup a basic action bar, and how to use the latest features of this plugin. Button actions are basically macro programs, so action bars can interact with all standard ImageJ components. Primary use of these custom toolbars is to keep at hand often used commands, plugins and macros, but toolbars sets can be turned into mini applications with minimal effort. With these highly task-oriented applications, end users can focus on just using a simple system with absolutely no prior knowledge of ImageJ. This paper is aimed at ImageJ users with some previous experience with the macro language. First version was published in June 2006, and this is the support material for a workshop I first gave at the 2008 ImageJ conference in Luxembourg.
DOI: 10.17632/4m3w368g4m
title: Metal transfer modes for wire arc additive manufacturing with wire aristorod 69

description: This database demonstrates the modes of metal transfer with short-circuited transfer (CMT) and drop transfer (C-GMAW).
DOI: 10.17632/rdzwdcbtyt
title: YZL-51N functions as a selective inhibitor of SIRT7 by NAD+ competition to impede DNA damage repair

description: Original western blot images and microscope images have been deposited at Mendeley Data.
DOI: 10.6084/m9.figshare.14096289.v1
title: Indonesia daily climate data aggregated by commune

description: Daily climate data for Indonesia: maximum and minimum temperatures and precipitation data
DOI: 10.6084/m9.figshare.28789316.v1
title: Supplementary materials. Green grabbing implications for human rights, equity and the ecological transition

description: <b>Table S1: Human rights linked to environmental concerns considered in this article, and project impacts threatening them.</b><b>Table S2: Coding book - variables and their definitions.</b><b>Table S3: Reviewed empirical cases from the Systematic Literature Review (SLR).</b><b>Table S4: Reviewed empirical cases from the EJAtlas database (</b><b>www.ejatlas.org</b><b>).</b>
DOI: 10.6084/m9.figshare.3515285.v1
title: Supplement 1. WinBUGS code for model .

description: File List spatial_dep_model.txt -- WinBugs model definition file <br> spatial_dep_script.txt -- WinBugs script file <br> spatial_dep_data.txt -- Sample data file Description Input data consists of the matrix <i>h<sub>ij</sub></i>, the detection/nondetectin data for site <i>i</i>, survey <i>j</i>. In the code, <i>z<sub>i</sub></i> denotes presence (<i>z<sub>i</sub></i> =1) or absence (<i>z<sub>i</sub></i>=0) at the level of the sample unit, <i>i</i>; <i>y<sub>ij</sub></i> denotes local presence (<i>y<sub>ij</sub></i> = 1) or absence (<i>y<sub>ij</sub></i> = 0) on segment <i>j</i>; and <i>h<sub>ij</sub></i> denotes detection (<i>h<sub>ij</sub></i> =1) or not (<i>h<sub>ij</sub></i> =0) on segment <i>j</i> of sample unit <i>i</i>. Each of these random variables is modeled as a Bernoulli trial, the latter two conditional on occupancy at sample unit and segment scale: All model parameters were given uniform prior distributions, U(0,1). -- IMAGE: Please see in attached file. --
DOI: 10.6084/m9.figshare.23662509.v1
title: TA - Thin films

description: Mat files with EMG signals concurrently recorded with one grid of 64 surface electrodes and a thin film with 40 intramuscular electrodes and edited motor unit pulse trains.
DOI: 10.6084/m9.figshare.25361071.v5
title: PPMI MR IDPs

description: Magnetic resonance imaging data phenotypes for the Parkinson's Progression Markers Initiative.see: preprint https://doi.org/10.1101/2024.09.23.24313179 submitted to "Scientific Data"
DOI: 10.6084/m9.figshare.28360268.v3
title: Instrument codebook

description: The data codebook contains the survey questions and derived variables from surveys completed by participants in 2018 (T1) through 2022 (T5). The codebook itself is a dataset containing the variable names, associated question wording, year, structure, and coding scheme used in the study.
DOI: 10.17632/n54hpybcv6
title: BIM+IoTBuilding management system

description: This project is building management system based on open-BIM and IoT.
DOI: 10.17632/stf5xc7hb6
title: Dissolved oxygen in the Canada Basin of the Arctic Ocean during 1994-2021

description: This synthesized dataset is the gridded data of seawater temperature, salinity, oxygen concentration, apparent oxygen utilization, oxygen solubility, dissolved inorganic nitrogen, and phosphate spanning from 1994 to 2021 within the Canada Basin of the Arctic Ocean. Data were compiled from multiple sources, including GLODAPv2.2023, the Beaufort Gyre Exploration Project at Woods Hole Oceanographic Institution (WHOIDC, https://www2.whoi.edu/site/beaufortgyre/data/ctd-and-geochemistry/), and the Chinese National Arctic and Antarctic Data Center (NADC, https://datacenter.chinare.org.cn/data-center/dindex). All datasets underwent quality control following the GLODAP quality control protocol. This dataset is intended to facilitate the estimation of long-term changes in oxygen concentration within the Canada Basin.
DOI: 10.17632/syhjprk2jh
title: Order from Tariff Chaos

description: The TTF quantifies the intensity of tariff threats since January 16, 2025, and ranges from 0 to 3. Minor tariffs affecting less than $10 billion in trade or simply limited to specific products receive a score of 1. Moderate tariffs affecting $10-100 billion in trade or a broader range of product categories are scored as 2, and major tariffs affecting over $100 billion in trade or entire sectors receive a score of 3. A Google Trends (GT) analysis is used to quantify the “environmental feedback” to Trump’s tariff moves. To gauge public perception, we compare two search terms “Trump tariff chaos” and “Trump tariff strategy” from mid-January to April 16, 2025
DOI: 10.25573/data.10042613.v2
title: Fortuna, Clearing_Relative Humidity, Manual

description: Fortuna station (Centro de Investigaciones Jorge L. Arauz)<br>North Clearing<br>Location: 8° 43.340'N, 82° 14.241'W<br>Relative Humidity, Manual, Daily wet/dry bulb temperature/Relative Humidity<br><br>Located in the highlands of the Chiriqui Province, in western Panama.There are three sensor locations: north clearing, south clearing, and a 15m tower.<br>
DOI: 10.6084/m9.figshare.24793218.v1
title: Data and code repository for "Membrane potential states gate synaptic consolidation in human neocortical tissue"

description: This repository contains all data (pseudonymized and preprocessed) used to generate the results and graphs in the manuscript "Membrane potential states gate synaptic consolidation in human neocortical tissue". Furthermore, this repository contains the code (R scripts) used to analyze the data and generate the graphs in the manuscript.The ReadMe.txt file contains brief instructions on how to run the code in the R scripts files.
DOI: 10.6084/m9.figshare.28252070.v1
title: Dataset1_2_3 for ChatGPT

description: The objective of this study is to examine teachers’ and students’ use of ChatGPT at social science faculty at both public and private universities in Bangladesh. This study employed mixed method approach. Quantitative data were collected through questionnaire survey from 402 teachers and 440 students of eight different public and private universities following a stratified sampling approach. A convenience sampling technique was followed with a view to collecting qualitative data through in-depth interviews of 32 participants, including 16 teachers both public and private universities and 16 students from both public and private universities. The research presents that students and teachers both have proficiency, but there is a gap in expertise. Students perceive ChatGPT as beneficial for better learning outcomes, while teachers find it helpful in preparing for classes and instructional materials. Both teachers and students consider ChatGPT to require minimal effort. Though students are influenced by their peers to use it, teachers are not. On the other hand, teachers have more behavioral intentions to use it in the future than students. Yet worries over ethical use, reliance, and information accuracy prevail. High cost and language barriers are also listed as reasons for accessibility issues. The findings of this study have significant implications for the development of policies, research endeavors, and teaching-learning practices in the higher education sector in Bangladesh and similar contexts.
DOI: 10.17632/4jp8w7d2kg
title: Full-Length Transcriptome Sequencing and Mining Flavonoid Biosynthetic Pathway in the Okra (Abelmoschus esculentus)

description: 23,083 non-redundant full-length transcripts of okra using PacBio Iso-seq
DOI: 10.17632/9t8gkfj428
title: Model-based reconstruction of real-world fractal complex networks

description: This is a Jupyter notebook containing codes for generating a model of a fractal complex network and a box-covering algorithm using a fixed number of boxes with flexible diameter, which allows to determine the fractal scaling exponent. The model is described in https://arxiv.org/abs/2502.04186
DOI: 10.17632/gftddh3t5s
title: Supporting Information File

description: Individual (quantitative) outcome data of the study entitled 'Effectiveness and user experiences of a valgus brace in patients with knee osteoarthritis: a mixed-method randomised controlled trial' by L.D. de Jong et al.