cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.dh4xvn
title: Occurrence Download

description: A dataset containing 92 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Halcyon pileata (Boddaert, 1783)",
 "Year 2020-2020"
 ]
}

 The dataset includes 92 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013936-230828120925497/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3mwgzb
title: Occurrence Download

description: A dataset containing 7574 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((0.31319 38.0914,4.90869 37.99731,4.93726 43.12793,0.39111 43.14551,0.31319 38.0914))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Rhodophyta"
 ]
}

 The dataset includes 7574 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0325957-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ha53js
title: Occurrence Download

description: A dataset containing 3303933 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Lemna minor L., Taxus baccata L., Melissa officinalis L., Aruncus dioicus (Walter) Fernald, Poa chaixii Vill., Vaccinium vitis-idaea L., Adenostyles alliariae (Gouan) A.Kern., Pseudathyrium alpestre (Hoppe) Newman, Knautia dipsacifolia (Host) Kreutzer, Rumex alpestris Jacq., Carex capillaris L., Scorzoneroides helvetica (Mérat) Holub, Melampyrum sylvaticum L., Carex rostrata Stokes, Hypericum pulchrum L., Carex pendula Huds., Hypericum humifusum L., Dioscorea communis (L.) Caddick & Wilkin, Orthilia secunda (L.) House, Rubus saxatilis L., Viburnum lantana L., Carex alba Scop., Petasites hybridus (L.) G.Gaertn., B.Mey. & Scherb., Lotus pedunculatus Cav., Valeriana dioica L., Eriophorum vaginatum L.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Geometry POLYGON((-11 34, 41 34, 41 72, -11 72, -11 34))",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 3303933 records from 2908 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000732-230918134249559/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/x8gt4bxg9y.2
title: Genome editing system for S. thermodiastaticus K5

description: Streptomyces thermodiastaticus K5, a thermophilic chitinase producer isolated from compost, has shown a strong ability to degrade cellulose and xylan in Ca(OH)2-pretreated rice straw at 50 ºC. To enhance or modify the cellulose and xylan metabolite pathways of this strain, a genome editing system was developed. The high-copy plasmid pL99 successfully transformed the K5 strain via conjugation. However, the introduction of Cas9 likely failed due to cell toxicity. Consequently, a genome editing plasmid for K5 (pGEK5) was constructed using nCas9 instead of Cas9. The pGEK5 plasmid could easily be lost from the transformed clone through spore formation and cultivation on apramycin-free medium, allowing its reuse for subsequent genome editing. Stop codons were introduced to uracil–DNA glycosylases Udg1 and Udg2, resulting in a double mutant clone with higher base editing efficiency than original K5 strain.
DOI: 10.17632/vn5nknh3mn.3
title: ECSMP: A Dataset on Emotion, Cognition, Sleep, and Multi-model Physiological Signals

description: This paper described the collection of multi-modal physiological signals, which include electroencephalography, electrocardiograph (ECG), photoplethysmography, electrodermal activity, temperature, and accelerometer data, recorded from 89 healthy college students during resting state, the emotion induction and recovery, and a set of cognitive function assessment tasks. Emotion, sleep, cognition, depression, mood, and other factors were evaluated through different methods, and were included in this dataset. Six emotions (neutral, fear, sad, happy, anger, and disgust) were induced by movie clips. The cognitive functions such as sustained attention, response inhibition, working memory, and strategy use, were quantitatively measured by Cambridge neuropsychological test automatic battery. The sleep ECG was collected the night before the emotion-induction experiment, and the sleep quality was analysed based on the sleep ECG. After the experiment, the participants were required to fill in questionnaires to evaluate the emotion regulation strategies, depression score, recent mood, and sleep quality index. The database can not only be directly used for the research of emotion recognition on multi-modal physiological signals, but also can further explore the interactions between emotion, cognition, and sleep.
DOI: 10.17632/gpy95rhz5j.1
title: Data for: Phase equilibria and thermodynamic evaluation of Ti-V-O system in air

description: 1.) We are including additional SEM-EDS data from the study of "Phase equilibria and thermodynamic evaluation of Ti-V-O system in air". However, SEM-EDS data did not compare well to reported EPMA data in the manuscript, especially phase data of the Ti-V-O slag. We believe that the overlapping of V and Ti X-ray emission peaks might have contributed why SEM-EDS data did not compare well to EPMA data. 2.) The data from EPMA were normalized and included in the thermodynamic assessment of Ti-V-O system in air.
DOI: 10.17632/npwg4jcxnj.1
title: Data for: Protectionism and the Business Cycle

description: We study the consequences of protectionism for macroeconomic fluctuations. First, using high-frequency trade policy data, we present fresh evidence on the dynamic effects of temporary trade barriers. Estimates from country-level and panel VARs show that protectionism acts as a supply shock, causing output to fall and inflation to rise in the short run. Moreover, protectionism has at best a small positive effect on the trade balance. Second, we build a small open economy model with firm heterogeneity, endogenous selection into trade, and nominal rigidity to study the channels through which protectionism affects aggregate fluctuations. The model successfully reproduces the VAR evidence and highlights the importance of aggregate investment dynamics and micro-level reallocations for the contractionary effects of tariffs. We then use the model to study scenarios where temporary trade barriers have been advocated as potentially beneficial, including recessions with binding constraints on monetary policy easing or in the presence of a fixed exchange rate. Our main conclusion is that, in all the scenarios we consider, protectionism is not an effective tool for macroeconomic stimulus.
DOI: 10.17632/t7nkmvv7r2.1
title: Nanoinfluencer Effectiveness

description: Dataset for study 1, 2, and 3 for Nanoinfluencer Effectiveness
DOI: 10.17632/9t5zdgs3s2.1
title: A new ChEMBL dataset for FastTargetPred

description: A ChEMBL-v29 dataset was generated to be used with the ligand-based similarity search target prediction engine FastTargetPred (https://github.com/ludovicchaput/FastTargetPred). Using this new dataset, attempts to predict macromolecular targets for a published dataset of 160,000 tetrapeptides was performed.
DOI: 10.17632/mk3ykkms44.1
title: A Route for De Novo Domestication of Wild Allotetraploid Rice, Yu et al.

description: Original data of paper
DOI: 10.17632/4j7y836bcw.1
title: The Impact of Social Media on Body Image

description: Research Hypothesis
The hypothesis of this study posits that social media significantly influences body image perceptions, leading to increased body dissatisfaction and lower self-esteem, particularly among adolescents and young adults. It also suggests that while social media can propagate negative body ideals, it has the potential to promote body positivity through supportive communities.
Data Overview
The data was gathered through a systematic review of existing literature on the impact of social media on body image. The methodology included:
Search Strategy: Utilized academic databases such as PubMed, PsycINFO, and Google Scholar with keywords like "social media," "body image," and "self-esteem."
Inclusion Criteria: Focused on studies involving individuals aged 12-25 who actively use social media for at least one hour daily.
Exclusion Criteria: Studies were excluded if they involved severe mental health disorders or participants with prior body image issues.
The analysis employed both quantitative (e.g., t-tests, ANOVA) and qualitative methods (e.g., thematic analysis) to synthesize findings across various studies.
Notable Findings
Body Dissatisfaction: Increased exposure to idealized images correlates with higher levels of body dissatisfaction, particularly in young women and adolescents. This is primarily driven by social comparisons to unrealistic beauty standards.
Teen Girls' Pressure: Teen girls experience significant pressure to conform to beauty standards perpetuated by social media, leading to feelings of inadequacy.
Data Interpretation
The findings indicate that social media serves as a double-edged sword regarding body image:
Negative Influence: The prevalence of edited and idealized images creates unrealistic beauty standards that foster feelings of inadequacy and dissatisfaction among users. This is particularly concerning for younger audiences who are more impressionable.
Implications for Use
Understanding these dynamics is crucial for developing interventions aimed at mitigating the harmful effects of social media on body image. Recommendations include:
Education Programs: Implementing educational initiatives that raise awareness about the effects of social media on self-esteem and body image.
Supportive Communities: Encouraging the formation of online communities that promote positive body image and self-acceptance.
Conclusion
The data underscores the complex relationship between social media use and body image perceptions. While it can lead to negative outcomes such as increased body dissatisfaction and reduced self-esteem, there is also potential for positive reinforcement through supportive content. Future research should continue exploring these themes, focusing on longitudinal effects, diverse populations, and the role of specific platforms in shaping body image perceptions.
DOI: 10.17632/nkh5ngd6sb.1
title: Data for: Term limits and voter turnout
DOI: 10.17632/hh8cm45j34.1
title: EyePACS DR CVS Data

description: Preliminary dataset used to generate abstract for research paper. Courtesy of EyePACs.
DOI: 10.17632/rzf9xgzkrr.2
title: Data for: 3314856
DOI: 10.17632/2pkc8k7777.1
title: Deployment of low-cost air quality sensors in Rouen: a dataset of one year of hourly NO2 measurements

description: Data was collected by ATMO Normandie using 10 low-cost electrochemical sensors and 3 monitoring stations (thereafter named QDP, SUD3 and JUS) located in Rouen, France. The stations named QDP and SUD3 are close to major roads as the sensors are, and JUS is in urban background area. The dataset gathers hourly averaged data given by low-cost sensors and monitoring stations between September 1st, 2022 to August 31, 2023. It also includes co-variates measured by the sensors: temperature, relative humidity, atmospheric pressure, plus Ox and CO measures. Our full dataset is divided into 10 CSV files (one per sensor) named ‘ASE_xx.csv’ where ‘xx’ denotes the sensor’s id (‘xx’ goes from 4 to 13). Note that the ASE_11 dataset does not cover the entire period. Data for june, july and august 2023 are missing due to dysfonctionment of the NO2 sensor.
Each file is organized as follows, having for columns:
- date: the timestamp in UTC, in the format yyyy-mm-dd HH:MM.
- ASE_NO: the hourly averaged concentration of NO in µV.
- ASE_NO2: the hourly averaged concentration of NO2 measured by the sensor in µV.
- ASE_CO: the hourly averaged concentration of CO in µV.
- ASE_Ox: the hourly averaged concentration of Ox in µV.
- ASE_PA: the hourly averaged atmospheric pressure in hPa.
- ASE_T: the hourly averaged temperature inside the node in °C.
- ASE_HR: the hourly averaged relative humidity inside the node in %.
- SUD3_NO2: the hourly averaged concentration of NO2 measured by the reference monitor SUD3 in μg/m3.
- QDP_NO2: the hourly averaged concentration of NO2 measured by the reference monitor QDP in μg/m3.
- JUS_NO2: the hourly averaged concentration of NO2 measured by the reference monitor JUS in μg/m3.
Each row of a file represents an observation of the pollutants, averaged over the last hour (excepts for the date of course). 
Each missing measurements is represented by a ‘NA’ (Not Available).
In addition, the coordinates of each device are stored in ‘coordinates.csv’. This table contains three columns: ‘name’, ‘longitude’ and ‘latitude’. Note that longitude and latitude are given in the standard WGS84 system (EPSG: 4326).
The dataset presented here is a sequel of the dataset 'Air quality low-cost sensors and monitoring stations NO2 raw dataset in Rouen (France)' (link below).
DOI: 10.17632/78ng4tmj75.1
title: Bayesian Force Inference package for Matlab

description: This package allows the user to perform Bayesian Force Inference in Matlab Reference: Experimental validation of force inference in epithelia from cell to tissue scale W. Kong, O. Loison, P. Shivakumar, E.H. Chan, M. Saadaoui, C. Collinet, P.-F. Lenne, R. Clément Scientific Reports, 2019
DOI: 10.17632/tnxt77tf9g.1
title: Data for: SPiQE: an automated analytical tool for detecting and characterising fasciculations in amyotrophic lateral sclerosis

description: Four files: 1. Mean noise bands and optimal amplitude inclusion thresholds for 599 one-minute recordings. 2. Sensitivity, specificity and classification accuracy scores for 80 one-minute recordings across multiple thresholds for each model (1 and 2). 3. Sensitivity, specificity and classification accuracy scores for 80 one-minute recordings for different thresholds of amplitude exclusion threshold 4. Comparison of manual and automated fasciculation counts using optimal model.
DOI: 10.17632/w6ct8yrn2z.1
title: Coding coarse grained polymer model for LAMMPS and its application to polymer crystallization

description: This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2018) Abstract We present a patch code for LAMMPS to implement a coarse grained (CG) model of poly(vinyl alcohol) (PVA). LAMMPS is a powerful molecular dynamics (MD) simulator developed at Sandia National Laboratories. Our patch code implements tabulated angular potential and Lennard-Jones-9-6 (LJ96) style interaction for PVA. Benefited from the excellent parallel efficiency of LAMMPS, our patch code is suitable for large-scale simulations. This CG-PVA code is used to study polymer crystallization, which i... Title of program: lammps-cgpva Catalogue Id: AEDE_v1_0 Nature of problem Implementing special tabular angle potentials and Lennard-Jones-9-6 style interactions of a coarse grained polymer model for LAMMPS code. Versions of this program held in the CPC repository in Mendeley Data AEDE_v1_0; lammps-cgpva; 10.1016/j.cpc.2009.01.028
DOI: 10.17632/4nn2w8rvx3.2
title: Image-Bot: Everyday/Industrial Objects

description: Pictures of everyday and industrial objects in front of a greenscreen as well as masked and augmented images thereof. This dataset can be used to generate a larger synthetic training dataset for object detection and image segmentation by blending the masked images with different background images.
The masked and augmented images consist of a pair of foreground image and mask, whereas the mask can be used to generate the labeling for the image segmentation dataset.
This dataset was created as a prove of concept for and by the Image-Bot, which is described under https://github.com/FraunhoferIAO/Image-Bot as well as in the associated paper. The Image-Bot also offers the algorithms to blend the images of this dataset, with different background images. Just start with step 3 of the Image-Bot and name your project and object according to the objects in this dataset.
Furthermore, this dataset contains evaluation pictures for each object, to test algorithms trained with the synthetic dataset from the masked objects. If you use this dataset, please cite it via its DOI and via the original paper about the Image-Bot.
DOI: 10.17632/k4z7vxkp73
title: Ablation Corhort

description: Ablation Corhort.
DOI: 10.17632/89hrg95zhy.1
title: MicroCT data for Tanaid specimen

description: MicroCT stack of slice images of Tanaid crab that lives in small shell. Data set slice resolution (isotropic voxel size 2.028815 micrometers). MicroCT scanned at Stellenbosch CT facility using Nanotom S system, VGSTUDIO MAX 3.2 used for processing the data (de-noising).
DOI: 10.17632/vhmvfbgvxj.2
title: Wild Animal Facing Extinction

description: Wildlife conservation is an essential matter, particularly in Africa, where hunting and poaching constitute an important danger to rhinos and elephants. Despite the efforts of governments and NGOs, the scarcity of annotated wild animal datasets has hindered the development of computer algorithms for monitoring and protecting these animals in natural reserves and national parks. While advances in technology have enabled institutions to upload images for monitoring purposes, manual annotation remains time-consuming and inefficient. To address this issue, the paper proposes a semi-automatic annotation framework for wild animal dataset construction, focusing on six classes (rhino, elephant, lion, giraffe, cheetah, and zebra). The framework involves training a model on a small manual dataset and using this to semi-automatically label the remaining large-scale dataset. Additionally, the authors manually annotated rhino images with skeletons to be expropriated in computer vision algorithms for pose estimation tasks. This is the first wild animal dataset constructed with boundary box labels based on semi-automatic annotation and rhino skeletons manually annotated. The proposed framework has the potential to expedite research in wildlife protection, serve as a guide for semi-automatic annotation dataset construction, and possess a significant impact on the conservation community. Our dataset is publicly available here: 
Keywords: Wild animal dataset,  semi-automatic annotation, deep learning algorithms, boundary box labels, rhino skeleton, time efficient 

Wild Animals Boundary Box Labels 
Class	Number of Images	        Train	Valid	Test
Rhino	      1389	                        6107	 763	         764
Cheetah	      1150			
Elephant	      1288
Lion	              1277
Zebra	      1321
Giraffe	      1209
Total	      7634

Image = .jpg  & Annotation = .txt

Rhino Skeleton Labels
Class	            Number of Images	Train	Valid	Test
Rhino Skeleton	1410	                1048	262	         100
Total	                1410

Image = .jpg & Annotation = .json

NB: The Rhino Skeleton dataset was annotated manually on this site V7:V7.https://www.v7labs.com and can be separately cited as below:
Citation -  Video Surveillance based Wild Animal Poaching Mitigation (2023).Rhino Skeleton.
BAKANA SIBUSISO REUBEN, V7 Open Datasets. https://darwin.v7labs.com/video-surveillance-based-wild-animal-poaching-mitigation/rhino-skeleton
Also is it publicly available at: https://darwin.v7labs.com/video-surveillance-based-wild-animal-poaching-mitigation/rhino-skeleton
DOI: 10.17632/23553sm4tn.3
title: Dhaka Stock Exchange Historical Data

description: The dataset contains historical technical data of Dhaka Stock Exchange (DSE). The data was collected from different sources found in the internet where the data was publicly available. The data available here are used for information and research purposes and though to the best of our knowledge, it does not contain any mistakes, there might still be some mistakes. It is not encourages to use this dataset for portfolio management purposes and use this dataset out of your own interest. The contributors do not hold any liability if it is used for any purposes.
DOI: 10.17632/6dzj592kr2.1
title: Wadjet Loop Extrusion

description: This contains:
- gel data
- raw single-molecule microscopy image sequences
- code to analyze and make figures
DOI: 10.17632/7nggz8xm9m.2
title: paper data

description: cavitation erosion
DOI: 10.17632/mbfsj8pjt6.1
title: El papel coercitivo de la manipulación en los discursos propagandísticos

description: Se presenta la estructura de la manipulación lingüística en los discursos políticos. Se analiza el papel coercitivo de la manipulación y se define la propaganda política en dos direcciones: propaganda constructiva y propaganda negativa.
DOI: 10.17632/njz49zgrw9.4
title: Data for: Event-related potential and oscillatory cortical activities of artistic methodology in information visualization design in human–computer interface

description: - The dataset contains each participant's event-related potential research data and electroencephalography brain data analysis. In addition, it contains the answer accuracy of experiment questions. 
- The system contains two group files. Each group folder contains 26 participant files. Each participant folder contains one EEG file and one ERP file. The answer_summary_english_correct_formal_anonymity.xlsx contains all the subjective evaluation results and answer accuracy data in the folder.
- Participant number was matched between folders and files. 
- SLCD_interface folder contains the example codes on importing data into Processing through XML format. If you want to create the line chart animation, you need to work with Adobe After Effects. The generative art algorithm needs to install the corresponding library in the Processing environment, but we have cited the relevant book in this paper(Bohnacker et al., 2012). The selected algorithms from Chapter P.2.3.1 of a generative design book (Bohnacker et al., 2012) had a clockwise animation for drawing a flower-like shape on a generative art interface design. 
Reference: Bohnacker, H., Gross, B., Laub, J., & Lazzeroni, C. (2012). Generative design: visualize, program, and create with processing. Princeton Architectural Press New York. 
- We contain SLCD, IGAD, SGAD, and ILCD films as the example visual stimuli for passive visual oddball ERP paradigm, which helps future researchers to replicate our study. 
- cluster_erp_value_anonymity.xlsx file contains the clustered ERP data for correlation analysis.