cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/364ccnvf52
title: African herbivores percentage of body fat Ledger 1968 and Average net energetic return per hour on hunting selected mammal Kelly 2013 (table 3.4)

description: 1. Caloric fat percentage of a set of African herbivores based on appendixes II and III in Ledger HP. 1968. Body composition as a basis for a comparative study of some East African mammals. Symposium of the Zoological Society of London 21:289-310. (Appendix II and III 2. Average net energetic return per hour on hunting selected mammal based on Kelly RL. 2013. The lifeways of hunter-gatherers: The foraging spectrum. Cambridge: Cambridge University Press. (Table 3.4)
DOI: 10.6084/m9.figshare.17030042.v1
title: Supplemental data for "Faster skin wound healing predicts MI survival"

description: Supplemental data for "Faster skin wound healing predicts MI survival" including the D3, D-25 and human glycoproteome data, and supplemental figures.<br>
DOI: 10.6084/m9.figshare.28721387.v2
title: PIFR: pose angle-based fall detection.zip

description: The proposed approach extracts nine critical geometric features, including the center of mass and various body angles. These features are used to train a support vector machine (SVM) model for binary classification, distinguishing between standing and lying with high precision.
DOI: 10.6084/m9.figshare.832454.v1
title: Mock Metagenomic Dataset, merged reads

description: 40 M paired end reads were constructed from 25 reference microbial genomes (including associated plasmids). The reads were either left as paired ends or merged to form longer, continuous reads. The full datasets (either paired or merged) were digitally normalized. They are provided for the purpose of benchmarking assemblers, testing annotation procedures, etc. See table for details on full dataset.
DOI: 10.6084/m9.figshare.7321604.v1
title: Research data: challenges and opportunities for researchers in China- Springer Nature survey data

description: <b>Survey data underlying the Springer Nature infographic titled: ‘Research data: challenges and opportunities for researchers in China’.</b><br>Data were collected in September and October 2018. The survey was run online in English and Chinese, with invitations to participate sent to registrants of Springer Nature email marketing lists in China and via social media. As an incentive to complete the online survey, respondents were offered the chance to enter themselves into a prize draw for a gift card worth 1000 Yuan when they reached the end of the survey. Responses were received from active researchers (academic, scientific or clinical) in China, representing all major research disciplines and career stages.<br>
DOI: 10.17632/t8j8v4hnm4
title: Raw Data: Multimodal Dataset of Freezing of Gait in Parkinson's Disease

description: Freezing of gaits (FOG), a debilitating transitory inability to pursue moving, is one of the severest symptoms of Parkinson's disease (PD). An accurate and reliable detection or prediction of FOG is of great significance for PD patients' assessment and rehabilitation. It is difficult to detect FOG with sufficient low-latency and high precision based on single sensor information. In order to improve the detection accuracy and facilitate further research, we gathered and presented a new multimodal dataset by combining rich physical and physiological sensor information. The multimodal data, including electroencephalogram (EEG), electromyogram (EMG), electrocardiogram (ECG), skin conductance (SC), and acceleration (ACC) in walking tasks, were collected using a high-quality hardware system integrated commercial and self-designed sensors. A standard experimental procedure was carefully designed to induce FOG in hospital surroundings. A total number of 12 PD patients completed the experiments and produced a total length of 3 hours and 42 minutes valid data. The FOG episodes in the multimodal data were labeled by two qualified physicians. The multimodal data can be used to efficiently discriminant FOG from normal locomotion, and indicated that changes in the multimodal motional and electrophysiological signals during FOG episodes could be used to guide PD patients' treatment and recovery.
DOI: 10.6084/m9.figshare.22121477.v3
title: Lending Club

description: This dataset is a modified version of the Kaggle Lending Club dataset found at https://www.kaggle.com/datasets/wordsforthewise/lending-club, including a model trained on the training set. <br> The data contains 2007 through 2018 Lending Club accepted and rejected loan data. <br> The dataset is licenced under CC0 1.0 Universal (CC0 1.0) Public Domain Dedication https://creativecommons.org/publicdomain/zero/1.0/
DOI: 10.6084/m9.figshare.5789469.v1
title: Supplementary Material for: Unravelling Pathophysiology of Crystalline Nephropathy in Ceftriaxone-Associated Acute Kidney Injury: A Cellular Proteomic Approach

description: <b><i>Background:</i></b> Previous studies showed that ceftriaxone can cause acute kidney injury (AKI) in the pediatric population. This study proposed a cellular model of crystalline nephropathy in ceftriaxone-associated AKI and explored the related pathophysiology by using a proteomic approach. <b><i>Methods:</i></b> Ceftriaxone was crystallized with calcium in artificial urine. Madin-Darby Canine Kidney (MDCK) cells, a model of distal renal tubular cell, were cultured in the absence (untreated control) or presence of ceftriaxone crystals for 48-h (<i>n</i> = 5 each). MDCK cells were harvested and subsequently analyzed by proteomic analysis. Protein bioinformatics (i.e., STRING and Reactome) was used to predict functional alterations, and subsequently validated by Western blotting and cellular studies. <i>p &lt;</i> 0.05 was considered statistically significant. <b><i>Results:</i></b> Phase-contrast microscopy showed increased intracellular vesiculation and cell enlargement as a result of ceftriaxone crystal exposure. Proteome analysis revealed a total of 20 altered proteins (14 increased, 5 decreased and 1 absent) in ceftriaxone crystal-treated MDCK cells as compared to untreated cells (<i>p</i> &lt; 0.05). Protein bioinformatics and validation studies supported heat stress response mediated by heat shock protein 70 (Hsp70) and downregulation of annexin A1 as the proposed pathophysiology of crystalline nephropathy in ceftriaxone-associated AKI, in which impaired proliferation and wound healing of crystal-induced distal tubular cells were outcomes. <b><i>Conclusions:</i></b> This study, for the first time, used the in vitro model of crystalline nephropathy to investigate the underlying pathophysiology of ceftriaxone-associated AKI, which should be investigated in vivo for potential clinical benefits in the future.
DOI: 10.6084/m9.figshare.21777200.v2
title: S3_Measuring Facial Mimicry Automated Facial Coding vs. EMG_Affdex Data

description: Raw Affdex data for each participant.
DOI: 10.17632/bwxyjy9s74
title: Itamaraca_Island_SCC_SM

description: Raw and processed data from the southeastern beaches on the Itamaracá Island (north coast of Pernambuco state, in Northeast Brazil), located alongshore of the insular margin of the Santa Cruz Channel’s south mouth (SCC). These data were collected through the combined use of Remotely Piloted Aircraft System (RPAS) and Global Navigation Satellite System (GNSS), from Dec/2017 to Dec/2018.
DOI: 10.17632/vwwmmd99r3
title: A Nonverbal Signs Dataset for the Italian Population

description: A Nonverbal Signs Dataset for the Italian Population
1,522 Colorful Stimuli of Spontaneous Social Communication, for experimental settings, including EEG/ERP experiments.
The provided stimuli are made available for use with the understanding that proper acknowledgment and citation of the source are required in any resulting work or publication. Proper attribution not only ensures academic integrity but also duly recognizes the effort involved in their development. Should further details regarding citation be needed, the relevant information can be provided upon request.
SOURCE and VALIDATION studies:
- Proverbio AM, Gabaro V, Orlandi A, Zani A. Semantic brain areas are involved in gesture comprehension: An electrical neuroimaging study. Brain Lang. 2015 Aug;147:30-40. doi: 10.1016/j.bandl.2015.05.002. 
- Proverbio AM, Ornaghi L, Gabaro V. How face blurring affects body language processing of static gestures in women and men. Soc Cogn Affect Neurosci. 2018 Jun 1;13(6):590-603. doi: 10.1093/scan/nsy033.
DOI: 10.17632/y78ty2g293
title: Aquaculture - Water Quality Dataset

description: This dataset is useful to train and test deep learning models that developed to assess the quality of the water in fish ponds based on the parameters like Temperature, Turbidity, Dissolved Oxygen, Biochemical oxygen demand (BOD), $CO_{2}$, pH, Alkalinity, Hardness, Calcium, Ammonia, Nitrite, Phosphorus, $H_{2}S$ and Plankton. The quality of water in fish ponds is classified in three categories like Excellent, Good and Poor quality. This dataset is prepared based on the threshold values of each input feature for acceptable range, desirable range and stress range for the growth of fishes in ponds. This AWD dataset consists of three different quality samples. They are excellent represented with 0, good quality is labelled with 1 and poor quality id labelled with 2. The developed dataset consists total 1500 poor quality water samples, 1400 excellent quality water samples and 1400 good quality water samples. The developed dataset consists of total 4300 samples with 14 input feature and one output label column.
DOI: 10.6084/m9.figshare.27307590.v1
title: Dataset for Manuscript Differential Modulation of Pain and Associated Anxiety by GABAergic Neuronal Circuits in the Lateral Habenula

description: Persistent pain frequently precipitates the development of anxiety disorders, yet the underlying mechanisms are not fully understood. In this study, we employed a mouse model that simulates trigeminal neuralgia and observed a marked reduction in the activity of GABAergic neurons in the lateral habenula (LHb), a critical region for modulating pain and anxiety. We utilized precise optogenetic and chemogenetic techniques to modulate these neurons, which significantly alleviated behaviors associated with pain and anxiety. Our investigations revealed a novel inhibitory pathway from the LHb GABAergic neurons to the posterior paraventricular thalamus. Activation of this pathway primarily mitigated pain-related behaviors, with minimal effects on anxiety. Conversely, interactions between GABAergic and glutamatergic neurons within the LHb were essential in alleviating both pain and anxiety following trigeminal nerve damage. Additionally, we identified that β-sitosterol interacts directly with LHb GABAergic neurons via the estrogen receptor α, providing dual therapeutic effects for both pain and anxiety. These findings highlight the critical role of reduced GABAergic neuronal activity in the LHb in the intersection of pain and anxiety, pointing to new therapeutic possibilities.
DOI: 10.6084/m9.figshare.4269173.v1
title: Mold-maker.stl

description: <br>3D printing-friendly design files for for the Mold-maker. This is a device to arrange up to 66 spheroids in a gel-based array straight from the culture plate for paraffin-embedding and immunohistochemistry. Print using Selective Laser Sintering printer from polyamide-12 (PA2200) powder.<br>
DOI: 10.6084/m9.figshare.6954992.v2
title: Lumbar Spine Bone Mineral Apparent Density in Children: Results from the Bone Mineral Density in Childhood Study

description: Monthly lumbar spine BMAD LMS Values and Reference Percentiles for African American and non-African American males and females.
DOI: 10.17632/bg3rwjv6y8
title: Routine re-screening for latent tuberculosis has low utility in patients with chronic immune-mediated inflammatory diseases treated with biologics

description: Routine re-screening for latent tuberculosis has low utility in patients with chronic immune-mediated inflammatory diseases treated with biologics
J Am Acad Dermatol 2022
Supplemental Material
DOI: 10.17632/cg7ktc3zvy
title: Confidence and competency in the use of dermoscopy among new first-year dermatology residents: a repeated-pairs pre-/post-assessment study of an online learning module

description: Online Learning Module and Supplemental Methods, Figure, and Findings
DOI: 10.17632/g4738t32hh
title: Heavy Metal Concentrations in Wetlands Affected by Spartina alterniflora Invasion

description: Heavy Metal Concentrations in Wetlands Affected by Spartina alterniflora Invasion
DOI: 10.17632/bnbbcdsf4m
title: RevBangla: Bangla Product Sentiment Analysis Dataset

description: The Bangla Product Comments Dataset is a comprehensive collection of product reviews gathered from diverse ecommerce platforms in Bangladesh. This dataset offers a rich source of information reflecting customer opinions and sentiments towards various products available online. This dataset holds significant value for businesses, researchers, and data scientists interested in understanding consumer behavior, product perception, and sentiment analysis within the Bangladeshi ecommerce landscape. By leveraging this dataset, stakeholders can derive actionable insights to enhance product quality, marketing strategies, and overall customer satisfaction. 

Columns:

1. Product_ID: A unique identifier for each product, facilitating organization and referencing.
2. Date: The date when the comment was posted, providing temporal context for analysis.
3. Customer Name: The name or identifier of the customer who submitted the comment, ensuring traceability and potential user segmentation.
4. Rating: A numerical representation (typically on a scale of 1 to 5) reflecting the customer's overall satisfaction level with the product.
5. Label Sentiment: A categorical label assigned to each comment indicating the sentiment expressed by the customer (e.g., positive, negative). This classification facilitates sentiment analysis tasks.
6. Comment: The actual text of the customer's review or comment, conveying specific opinions, feedback, or experiences regarding the product.
DOI: 10.6084/m9.figshare.20012551.v1
title: Pochonia chlamydosporia promotes the growth of tomato and lettuce plants

description: ABSTRACT The fungus Pochonia chlamydosporia is one of the most studied biological agents used to control plant-parasitic nematodes. This study found that the isolates Pc-3, Pc-10 and Pc-19 of this fungus promote the growth of tomato and lettuce seedlings. The isolate Pc-19 colonized the rhizoplane of tomato seedlings in only 15 days and produced a large quantity of chlamydospores. This isolate was able to use cellulose as a carbon source, in addition to glucose and sucrose. Scanning electron microscopy (SEM) revealed that hyphae of the P. chlamydosporia isolate Pc-10 penetrated the epidermal cells of the tomato roots. These three P. chlamydosporia isolates promote the growth of tomato and lettuce.
DOI: 10.6084/m9.figshare.28075292.v1
title: Supplementary material for the article

description: A supplement on the detection of perfluorinated contaminants in gallbladder bile contains data on the detection of the full range of samples
DOI: 10.6084/m9.figshare.28920551.v1
title: Flagged, Filtered, Forgotten. Who gets to speak online? A Design Justice Fanzine

description: This fanzine, created as part of INM317 Design Justice (2024-2025) coursework, investigates the algorithmic injustices embedded in AI-powered content moderation on social media. It explores how these systems silence marginalised groups, examines the societal structures that uphold these biases, and offers proposals rooted in care and accountability to imagine a more just digital future.
DOI: 10.11583/dtu.21707147.v1
title: Leading edge roughness and repair CFD dataset

description: Aerodynamic coefficients of damaged and repaired 2D aerofoil sections computed with PyE2Dpolar (https://alrf.pages.windenergy.dtu.dk/pye2dpolar/) - a python wrapper for a suite of EllipSys tools developed at DTU Wind. <br> The attached jupyter notebook explains how to load the data and explains its structure. For further questions feel free to contact alrf@dtu.dk. The wind tunnel data is available on request, but will be published once cleaned.
DOI: 10.17632/gzyb2b6krn
title: Dataset for parameters related to SOCP implementation

description: Dataset for parameters related to SOCP implementation
DOI: 10.17632/s3sb6v7y5b
title: Collective self-doubt

description: Data and analysis scripts for "Collective Self-Doubt: Does Subjective SES Predict Behavioral Self-Handicapping Tendency in College Students?"
DOI: 10.6084/m9.figshare.22785800.v5
title: Harvested carbon dataset of cropland in China

description: We have created a dataset that conducts a comprehensive analysis of carbon harvested from crop production in China over a 40-year period from 1981 to 2020. This dataset has a spatial resolution of 10x10 km, categorizes arable land into five types, and shows that cereal crops account for the largest proportion of total carbon harvested, at 75.9%. Over the past 40 years, the average carbon harvested in agricultural ecosystems was 0.31 Gt C yr-1. This dataset is expected to aid in estimating the carbon budget of arable ecosystems and of China as a whole. The data are available through open data repositories, providing valuable insights for research and policy-making aimed at sustainable agriculture and mitigating climate change.
DOI: 10.6084/m9.figshare.26333128.v1
title: Raw data.xlsx

description: Ten datasets are used in this study with the K-means clustering algorithm.
DOI: 10.6084/m9.figshare.1237768.v1
title: CSV: All Artists at the Tate Modern

description: CSV file used to create the Gephi file / visualization, "All Artists at the Tate Modern". Original data set retrieved from: https://github.com/tategallery/collection
DOI: 10.6084/m9.figshare.17194220.v1
title: DATA.zip

description: INPUT : The input datasets for training and test of convolutional neural networks used in this study. We use a monthly output data from the Geophysical Fluid Dynamics Laboratory Coupled Model 2.1 control experiment of 1,000 years. The variables (sea surface temperature and sea surface height) are monthly detrended, are 3-month averaged, and are normalized by the area-averaged standard deviation. MAM season (4th per every year) is used for The resolution is 2.5 latitude × 2.5 longitude.<br>TARGET : The output variable for training and test of convolutional neural networks used in this study. We use a monthly output data from the Geophysical Fluid Dynamics Laboratory Coupled Model 2.1 control experiment of 1,000 years. The variables (sea surface temperature and sea surface height) are monthly detrended, are 3-month averaged, and are normalized over time. DJF (12th per every year) Nino3.4 (5S-5N, 170-120W) sea surface temperature anomalies are used.
DOI: 10.6084/m9.figshare.24174594.v1
title: STMN

description: This content contains the code and related data for constructing the second-order texton co-occurrence matrix of the building clusters. For details, please see the documentation in the file.
DOI: 10.17632/9sxpkmm8xn
title: A Curated Hate Speech Dataset

description: This dataset contains hate speech sentences in English. It has 451709 sentences in total. 371452 of these are hate speech, and 80250 are non-hate speech. 

The dataset is organized into folders as follows:

0_RawData contains data collected from different sources to assemble a dataset of hate speech sentences.

1_ContractionProfanitiesEnglish contains commonly used contractions and a list of profanities used in the English language.

2_PreprocessedData contains the final_preprocessed_data_yidong_devansh.csv file with sentences generated by the following process:
1. Removing multiple spaces, hyperlinks, user mentions, emojis, and emoticons converted to text, and removed new line characters;
2. After all these characters were removed, the contractions found in the text were expanded. Grammatical errors were corrected using the word mover's distance between sentences generated from contraction with multiple possibilities using the Google News Word2Vectors [https://code.google.com/archive/p/word2vec/] and the opensource Gensim mode [https://radimrehurek.com/gensim/models/word2vec.html];
3. Removing date and time values;
4. Removing accented numbers and characters (e.g., ^ea, or ^12);
5. The remaining numbers are converted to words;
6. Removing ampersands from the beginning of words;
7. Removing the following characters (_"\-;%()|+&=*%.,!?:#$@[]/) from the text;
8. Generating an intermediate file preprocessed_data_yidong_devansh.csv;
9. Replacing misspelled profanities from the text with correctly spelled versions based on the Profanities.csv file;
10. Generating the final_preprocessed_data_yidong_devansh.csv.

3_DataAugmentationAndBERTVocab
Final_Y_D_data.csv was used to generate the YD_aug_data_balanced.csv file by downsampling the class with more samples.

4_PretrainedBERT Contains the custom BERT tokenizer vocabulary and configuration.

5_TrainValidationFolds Contains the training data and validation folds for a 5-Fold CrossValidation scheme.

6_MissclassifiedBERT2DataFolds Contains sentences that were misclassified by the HS-Bert Model and their true labels

7_BILSTM-model1 Contains the Keras embedding layer for the BILSTM-model1 network.

8_BILSTM-model2 Contains the word embeddings for the BILSTM-model2 network.

9_TFIDF Contains the TF-IDF vectors for the logistic regression and decision tree models.

10_GabAndRedditComparison contains the training and test files for comparison with the authors from [Jing Qian, Anna Bethke, Yinyin Liu, Elizabeth Belding, and William Yang Wang, "A Benchmark Dataset for Learning to Intervene in Online Hate Speech", arXiv:1909.04251v1 [cs.CL] 10 Sep 2019.].

–

For data sources please check the README file.
DOI: 10.17632/g7fpgj57wc
title: Betel Leaf Image Dataset from Bangladesh

description: This dataset presents collection of images focused on betel leaves, aimed at categorizing them into four distinct conditions: healthy, dried, afflicted by bacterial disease, and suffering from fungal brown spot disease. Captured in Camperhat, Raipur, Lakshmipur, Bangladesh, this collection underscores a meticulous approach to data gathering for disease identification and classification in betel leaves.

Organized into two primary folders, Original and Augmented, the dataset contains a total of 3589 images. The Original folder houses 1000 images, evenly distributed across the four leaf conditions to ensure a balanced representation. The Augmented folder, on the other hand, expands this dataset to include 2589 images, which are then divided into training (2388 images) and testing (201 images) subsets. This structure is designed to support the training of both deep learning and machine learning algorithms, with a clear aim towards the precise classification and recognition of the various states of betel leaf health.
DOI: 10.6084/m9.figshare.4898144.v4
title: Multilanguage Written Picture Naming Dataset

description: Timed naming data in 14 European languages for pictures in the Rossion and Pourtois (2004) colourised version of the Snodgrass and Vanderwart (1980) set of pictures of 260 everyday objects. For each language we provide by-picture "norms", including name and spelling diversity, response time and mean interkey-interval. We also provide the by-trial data from which these were derived. Please see the Readme file for more details and <br>Torrance, M., Nottbusch, G., Alves, R. A., Arfé, B., Chanquoy, L., Chukharev-Hudilainen, E., … Wengelin, Å. (2017). Timed written picture naming in 14 European languages. <i>Behavior Research Methods</i>. http://doi.org/10.3758/s13428-017-0902-xfor a full explanation (open access).<br>