cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.1608868.v1
title: Serico_ONLY_aligned_Fastas.tar.gz

description: Data matrix with orthologs shared among three Sericomyrmex species whose transcriptomes were sequenced in this study.
DOI: 10.6084/m9.figshare.26401528.v1
title: The tabulated coordinates

description: The tabulated coordinates in DFT calculation
DOI: 10.17632/p2w6rf3gs7
title: Data set for Publication in Data in brief 

description: Data for Publication
DOI: 10.6084/m9.figshare.14564319.v1
title: Delta Deposits on Mars: A Global Perspective

description: Global catalogue of Martian Deltas
DOI: 10.17632/bfvxxnrd4w
title: Assuaging patient anxiety about nail biopsies with an animated educational video

description: Video 1: “What to Expect During Your Nail Biopsy” Animated Video - Toenail
DOI: 10.6084/m9.figshare.14782959.v2
title: GNV

description: The global-scale dataset of nitrate transport velocity in the unsaturated zones<br>
DOI: 10.6084/m9.figshare.17779670.v5
title: ILORA v1.1 data

description: This data set is a part of the Indian Alien Flora Information (ILORA) database.<br> <br> The file 'ILORA_V1.1_Occurrence.csv' contains 12,347 occurrence records for 362 invasive and naturalized alien plant species present in India. Each of the occurrence records is associated with the information of the three dimensions of data quality, i.e., taxonomy, space and time. The data has been curated from 3140 literature records and 357 herbarium sheets. All data were checked for potential errors through a multi-step quality control procedure. The entire data set is arranged in a table having the Darwin Core (DwC) terms as column names. <br> The second file 'ILORA_V1.1_Occurrence_dataSources.csv' contains detailed source information for each of the occurrence records.<br>
DOI: 10.6084/m9.figshare.29175713.v1
title: Illegal deforestation in the Amazon: A modest contribution to Brazil’s GDP at the price of an outsized present and future cost

description: Our article utilizes a multiregional input-output table including the regions of the Brazilian Legal Amazon to perform an economic valuation - both direct and indirect - of the impacts of illegal deforestation on GDP.
DOI: 10.17632/f58j9j8zyx
title: Problems And Prospects Of Primary Healthcare:A Case Study Of Odo-owa Oke-Ero Local Government Kwara State 

description: The research topic "Prospects of Primary Health Care: A Case Study of Odo-owa Oke-Ero Local" explores the potential outcomes and challenges associated with the primary health care system within the specific context of Odo-owa Oke-Ero Local. The study aims to uncover critical insights into the effectiveness, accessibility, and impact of primary health care services on the local community's health and well-being.Hypothesis: The central hypothesis of this research is that an improved and well-functioning primary health care system has the potential to significantly enhance the overall health outcomes and quality of life for residents in Odo-owa Oke-Ero Local. Specifically, the research hypothesizes that:Accessible and comprehensive primary health care services directly correlate with reduced incidence of preventable diseases and improved health indicators among the local population.Community engagement and awareness-building initiatives positively influence the utilization of primary health care services, resulting in more timely and appropriate healthcare-seeking behavior.Adequate training, staffing, and resources allocated to the primary health care facilities lead to higher patient satisfaction and improved healthcare delivery, subsequently contributing to better health outcomes.Identification of existing gaps and challenges within the primary health care system can inform targeted interventions that have the potential to enhance its efficacy and impact.Through rigorous data collection, analysis, and comparison with existing literature, this study seeks to either validate or refute these hypotheses, contributing to a deeper understanding of the prospects of primary health care services in Odo-owa Oke-Ero Local. The findings could offer valuable insights for policy recommendations, resource allocation, and community-based initiatives aimed at strengthening primary health care delivery and improving overall health outcomes in similar contexts.
DOI: 10.6084/m9.figshare.29083472.v1
title: Gridded data of building material stocks of cement

description: 5,538,063 records are weight in urban building MS of cement in two urban agglomerations from 2000 to 2020 at 500×500m grid scale.
DOI: 10.6084/m9.figshare.29094308.v1
title: writing test .pdf

description: This study investigated the effect of purist and integrated extensive reading (ER) on students’ productive vocabulary in writing.
DOI: 10.17632/6bmbf33nnw
title: Multilabeled Bengali Sentiment and Emotion Classification Dataset

description: This dataset, titled Multilabeled Sentiment and Emotion Classification Dataset, is developed to advance natural language processing (NLP) research in the Bengali language, particularly in the domains of sentiment analysis and emotion detection. It contains 40,811 entries of user-generated text from Bengali social media and comment sections, each annotated with two labels: one for sentiment and another for emotion.

Sentiment Categories:
The dataset is annotated with five sentiment classes:

Very Negative – 8,979 entries (21.9%)

Negative – 10,757 entries (26.3%)

Neutral – 8,662 entries (21.2%)

Positive – 7,186 entries (17.8%)

Very Positive – 5,227 entries (12.8%)

This distribution highlights a larger presence of negative and neutral sentiments, indicating a critical tone in the source data.

Emotion Categories:
There are seven emotion classes in the dataset:

Happy – 8,154 entries (19.9%)

Surprised – 3,470 entries (8.5%)

Sexual – 7,250 entries (17.7%)

Religious – 2,449 entries (6.0%)

Calm – 7,583 entries (18.5%)

Hateful – 4,919 entries (12.0%)

Fearful – 7,086 entries (17.3%)

This emotion distribution reveals that Happy, Calm, and Sexual emotions are among the most prevalent, while Religious and Surprised emotions are relatively less represented.

Applications:
This dataset is suitable for training and evaluating machine learning and deep learning models for tasks such as:

Multilabel text classification

Emotion recognition

Sentiment analysis

Hate speech and toxic comment detection in the Bengali language

Language:
Bengali (Bangla)
DOI: 10.17632/6nzbdvjn87
title: 2024-DTU Risø Wind Turbine Blade Inpsction Video Dataset Description

description: AI-based blade identification in operational wind turbines through similarity analysis aided drone inspection

Shohreh Sheiati a, *, Xiaodong Jia a, Malcolm McGugan a, Kim Branner a, Xiao Chen a, *
a Technical University of Denmark, Department of Wind and Energy Systems, Roskilde 4000, Denmark.
Abstract
Developing an automated method to monitor the structural health of each individual wind turbine blade over its lifespan is imperative for timely warning of potential damages. This study proposes an AI-based image recognition model to identify individual blades based on their unique surface features. To eliminate the influence of the image background on the identification task, a deep learning segmentation method was used to isolate the blade image from the complex background in optical images captured by drone. Subsequently, we utilized and repurposed similarity-based Siamese networks to establish a blade search capability to identify images of the same blade. This model automatically retrieves the corresponding blade images in response to a single query image. The results show that our trained model distinguishes similar images from non-similar images and identifies the blades from unseen images successfully. Our developed similarity-based identification method ensures continuous tracking and monitoring of the structural health of each individual blade over time. 

Dataset description

We captured 29 videos from a wind turbine situated at DTU Risø campus, Roskilde municipality, Denmark. These videos were recorded under diverse circumstances, accounting for varying imaging conditions and different segments of the blades, using a DJI Mavic 2 drone. 
We organized the dataset into a folder named “Dataset”, which comprises 29 subfolders, each dedicated to one of the original videos along with extracted image frames and their corresponding masks.
The initial set of 24 videos in the collection was used for training and validation processes. The remaining 5 videos, not utilized during the training process, were used for testing.
Masks were obtained from two techniques: bi-level thresholding and the GrabCut foreground-background segmentation method. The bi-level thresholding technique was applied to images with clear contrast between the foreground (blade) and background (all videos except 6, 13, 15, 25). For images with very complex backgrounds containing divers objects with different colours and textures (videos: 6, 13, 15, 25), the GrabCut method was employed.
Contact: xiac@dtu.dk
DOI: 10.17632/bvr5vzyhrz
title: Replication data and code for the article: "Female managers and firm performance: Evidence from the non-agricultural sectors in Caribbean Countries" published in Economic Modelling 2024

description: This dataset and code replicate all empirical and quantitative results included in the paper and its appendix.
DOI: 10.17632/jd72b5v8vv
title: SNP dataset in Anopheles cruzii

description: Filtered SNP dataset genotyped for 376 specimens of Anopheles cruzii from Sao Paulo, Brazil.
DOI: 10.6084/m9.figshare.1534498.v1
title: Zenata_genotypes

description: Genotypes from 20 Zenata (Algerians from Timimoun) samples. Genotyping was performed with Affymetrix 6.0 platform. The data is not filtered.
DOI: 10.17632/46nf3xk696
title: microbiome_metabolome

description: a microbiome and metabolome data of schizophrenia
DOI: 10.6084/m9.figshare.1120570.v1
title: Note to accompany the Research Information Network data

description: An independent statistical analysis of the articles published in Nature Communications, carried out by the Research Information Network (RIN) has found that open access (OA) articles are viewed three times more often than articles that are only available to subscribers. RIN also found that OA articles are cited more than subscription articles. This note accompanies the data used by RIN.
DOI: 10.6084/m9.figshare.13293500.v1
title: Wan et al_GEB_2020_0482 data and R code

description: Data and R code for Wan, Chen, Huang & Chen: Global soil microbial biomass decreases with aridity and land-use intensification.
DOI: 10.6084/m9.figshare.25521241.v1
title: Business Data Literacy Competencies: Workforce Perceptions and Practices

description: The purpose of this research is to investigate how data literacy competencies are used in the workplace, the level of preparation and skills employees feel they have, and how this can inform data literacy education for undergraduate students. The authors build on their scholarship which proposes seven baseline business data literacy competencies for use in higher education to prepare students for their careers (Condon & Pothier, 2022; Pothier & Condon, 2019). This dataset is from a survey of working professionals within the supply chain and logistics industries. The survey addresses worker’s self-perception of data literacy skills and in what ways the business data literacy competencies are reflected in their daily work. The research question addressed: In what ways do the proposed data literacy competencies align with professional data literacy practices in the context of the workplace for supply chain and logistics professionals?ReferencesCondon, P. B., & Pothier, W. G. (2022). Advancing data literacy: Mapping business data literacy competencies to the ACRL framework. <i>Journal of Business & Finance Librarianship</i>, <i>27</i>(2), 104-126. https://doi.org/10.1080/08963568.2022.2048168Pothier, W. G., & Condon, P. B. (2019). Towards data literacy competencies: Business students, workforce needs, and the role of the librarian. <i>Journal of Business & Finance Librarianship</i>, <i>25(3-4), </i>123-146. https://doi.org/10.1080/08963568.2019.1680189<br>
DOI: 10.6084/m9.figshare.27861501.v1
title: Data and code for figures.zip

description: Data and code used directly for generating the charts in <b><i>Forest vegetation increased across China’s carbon offset projects and positively impacted neighboring areas</i></b>.
DOI: 10.6084/m9.figshare.28415216.v1
title: Plataforma e currículo lattes: <b>Ferramenta essencial para gestão e consolidação acadêmica</b>

description: Plataforma lattes atualização e preenchimento
DOI: 10.17632/gbhpdkf8pg
title: Bodily expressed emotion understanding through integrating Laban Movement Analysis

description: We present the BoME dataset.
The annotations are in the folder of BoME, named LMA_coding_cleaned_enlarge_train.csv, LMA_coding_cleaned_enlarge_val.csv, and LMA_coding_cleaned_enlarge.csv

We also provide the code to estimate LMA elements and the code to enhance BEEU with BoME. They are in the folders emotion_action and emotion_swin_video. To reproduce the LMA element estimation 
experiments, please refer to README1.md. To reproduce the BEEU experiments, please refer to README2.md. 
Due to some unknown bugs, Mendeley does not display README1.md and README2.md sometimes. You can also get README1.md and README2.md from here (https://pennstateoffice365-my.sharepoint.com/:f:/g/personal/czw390_psu_edu/EswU_gNZ_phEmYNgxvlsLR0B9bfcGa-BoG2r0LVr69W8XA?e=NrBZ7S).

We provide our checkpoint files as well (including TSN.pth, SlowFast.pth, PoseC3D.pth, V-Swin.pth, MANet.pth). Sometimes Mendeley does not display all the files in the folder checkpoint, emotion_action, and emotion_swin_video. Their backups are here (https://pennstateoffice365-my.sharepoint.com/:f:/g/personal/czw390_psu_edu/EnKgLsQYlIhDmEqlYND8SuEBTCLaX7q-4ODMB_S9w0mxqA?e=6a6BHK).
DOI: 10.17632/xpx2z7y29p
title: Social attitudes towards energy, energy transition and environmental policy in EU

description: A quantitative survey study conducted in six European countries: France, Spain, Italy, Denmark, Germany, and Poland. In each country, 800 people were surveyed, totalling 4,800 respondents. The study was conducted in November and December 2023. The respondents were recruited by a professional research agency, and the sample was stratified randomly, with quotas established for age, gender, education level, and size of locality to ensure that its structure matched the distribution of each country’s population. The study included adults who are responsible for energy consumption decisions in their households—specifically those who paid electricity bills or purchased household electrical appliances. The questionnaire was prepared in the English language and then translated into the languages used in the countries where the study was conducted with the help of a professional translation agency. The survey was completed independently by respondents on a computer (37%), tablet (12%), or mobile phone (51%). The graphical format of the survey was designed to ensure that the questions and answers were legible on each of these devices. The average time to complete the survey was twenty minutes.
DOI: 10.6084/m9.figshare.17156327.v4
title: Dataset of paper ‘An efficient pose classification method for robotic grasping’.

description: <b>The dataset of paper ‘An efficient pose classification method for robotic grasping’. </b><br><b>- score_grasps_20_average.tar.gz: It contains 47 single view point cloud files of common objects. We calculate a score for each point based on PointNetGPD.</b><b>- normalized_positive_grasps.tar.gz: Positive sample grasping pose after aligning coordinates.</b><b>- experiment result.rar: experiment data of paper.</b><b><br></b><b> ‘default’ is original experimental data in PointNetGPD.</b><b> ‘direct’ is experiment A data in this paper.</b><b> ‘score’ is experiment B data in this paper.</b><br><b>For the codes and detailed steps of PointNetGPD, please refer to the github website below: https://github.com/lianghongzhuo/PointNetGPD.</b>
DOI: 10.6084/m9.figshare.19617228.v1
title: Land Cover Time Series - Liberia

description: We used Landsat data to map and quantify land cover change and forest fragmentation in Liberia between 2000-2018. These are the land cover maps created by the methodology and with which we performed the forest fragmentation analysis.
DOI: 10.6084/m9.figshare.24917154.v1
title: Data for: Investigating the impact of faculty members’ TPACK on the use of ChatGPT using the extended UTAUT2 model

description: Data for the effect of faculty members’ TPACK between all dimensions of UTAUT factors and Behavioral Intention [Dataset].
DOI: 10.6084/m9.figshare.25504717.v1
title: <b>The color of fruits in photographs and still life paintings</b>

description: Original materials for "<b>The color of fruits in photographs and still life paintings</b>" by Hansen and Conway, Journal of Vision, 2024. The materials include the photographs of fruit and the digital slides of still life paintings of fruit that were analyzed in the paper, along with the analysis code to generate all the figures and run the all analysis.
DOI: 10.6084/m9.figshare.27918429.v4
title: Convergent strategies for leaf traits in tree species from divergent habitats

description: Plant trait expressions and their trade-offs reflect the responses and long-term ecological adaptation to environmental gradients. However, how such expressions and trade-offs help plants to acclimate a new environment remain poorly understood, which is a fundamental preset for plants’ survival under a global change scenario. By comparing the trait-trait relationships of 4403 tree species from different climatic regions, and the variation in trait trade-offs of 746 tree species that have been transplanted to a tropical botanical garden for several decades, our results reveal convergent but consistent alteration in trait-trait relationships of trees transplanted from different climatic regions to a common environment. The convergent trends enhance the capability of tree species in buffering the impacts of climate change through allocating more resources to growth and tolerance. We propose altered trait-trait relationships may be the key mechanisms underlie the long-term ecological stability and resilience of tree species.
DOI: 10.6084/m9.figshare.15025995.v3
title: Supplementary Data File 1

description: Hyperparameter Optimization Results. Hyperparameter optimization results across integration methods integrating three <em>Schizosaccharomyces pombe</em> networks. The chosen (best) hyperparameter combinations for each method are highlighted.
DOI: 10.6084/m9.figshare.19617717.v1
title: Immunofluorescence Images of Circulating Tumor Cells (CTCs)

description: Immunofluorescence images of CTCs from paired blood (PB, ID 5152*) and bone marrow samples (BMA, ID 5151*) of an aggressive prostate cancer patient. Images are grouped by subtypes of CTCs defined based on the phenotypic features.
DOI: 10.6084/m9.figshare.28536482.v1
title: Figure 2. RNAi knockdown

description: <i>Hydroides elegans</i> RNAi
DOI: 10.17632/nhgycstdmr
title: The interplay of secondary EFL teachers’ pedagogical beliefs and pedagogical content knowledge with their instructional materials use approach orientation

description: This data set is from my study on investigating the interplay of secondary EFL teachers’ pedagogical beliefs and pedagogical content knowledge with their instructional materials use approach orientation. The data includes the results of reliability, descriptive statistics, EVA, CR, EFA, CFA, and SEM
DOI: 10.6084/m9.figshare.16429998.v1
title: Slope break and avulsion locations scale consistently in global deltas

description: The dataset provided is in conjuction with the manuscript provided by the same authors. This contains the list of 105 river deltas globally with their water discharge, avulsion, slope break, backwater lengths measured from the shoreline and valley-exit-to-shoreline distance. Also, the catchment area, valley-type and climate of the river delta are provided in this dataset.
DOI: 10.6084/m9.figshare.7097480.v1
title: Kurczyn, J.A., P. Pérez-Brunius, M. López, J. Candela, F. Delgadillo-Hinojosa, and E. García. “Water masses and ocean currents along the continental slope off Todos Santos Bay, Baja California.”, submitted to JGR-Oceans (Paper #2018JC013962R), 2018.

description: See readme.pdf file
DOI: 10.17632/sx2tphzvcw
title: A UAV Image Dataset for Object Detection with Annotations Generated Using LabelImg and Roboflow

description: The dataset consists of drone images that were obtained for agricultural field monitoring to detect weeds and crops through computer vision and machine learning approaches. The images were obtained through high-resolution UAVs and annotated using the LabelImg and Roboflow tool. Each image has a corresponding YOLO annotation file that contains bounding box information and class IDs for detected objects.
The dataset includes:

Original images in .jpg format with a resolution of 4096 × 3072 pixels.

Annotation files (.txt) corresponding to each image, following the YOLO format: [class_id x_center y_center width height] (all normalized values).

A classes.txt file listing the object categories used in labeling (e.g., Weed, Crop).

The dataset is intended for use in machine learning model development, particularly for precision agriculture, weed detection, and plant health monitoring. It can be directly used for training YOLOv7 and other object detection models.
DOI: 10.6084/m9.figshare.14207114.v1
title: SMRT_final.sdf

description: Modified SMRT data set with implicit hydrogens. Non-retained molecules were excluded, contains 77983 molecules with experimental retention times. <br>Initial data set was taken from the published article (10.1038/s41467-019-13680-7)
DOI: 10.6084/m9.figshare.25314649.v2
title: GPIP dataset

description: The official dataset for Geometry-enhanced Pre-training on Interatomic Potentials.
DOI: 10.6084/m9.figshare.5072422.v1
title: Stereotype Threat as a Psychological Feature of Work-Life Conflict

description: These studies examine stereotype threat based on family caregiving responsibilities and work-life conflict.
DOI: 10.17632/38xk9wfv7b
title: Structural tests on high strength steel welded I-section frames

description: This dataset consists of data related to the experimental and numerical investigation of the in-plane behaviour of eight fixed-base, single storey, unbraced high strength steel frames. The results and discussion associated with this dataset have been published as an open access article in the Journal of Engineering Structures and can be accessed via this link: https://doi.org/10.1016/j.engstruct.2022.114108 This data is an example of the necessary data required for validation during the design of steel structures assisted by geometrically and materially nonlinear shell finite element analysis with explicit treatment of imperfections (GMNIA). The data and supplementary information include: 1. Experimental dataset 2. Numerical dataset