cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/ww539fsxtj
title: Tables of sample tags for demultiplexing: Are sponges good natural sentinels for monitoring fish diversity in Antarctic coastal waters?

description: Sample metadata and ngsfilter tables of sample tags for demultiplexing metabarcoding data from the study: Are sponges good natural sentinels for monitoring fish diversity in Antarctic coastal waters? To be used on the MJOLNIR pipeline.xºxº
DOI: 10.17632/zcz6y53ngp
title: Raw dataset of problematic internet use and depressive symptoms among the school-going adolescents in Bangladesh

description: Dataset regarding the problematic internet use and depressive symptoms are limited. This raw data is about the prevalence and associated factors for problematic internet use and depressive symptoms among the school-going adolescents in Bangladesh. We believe provide an open-access dataset of problematic internet use and depressive symptoms for better interpretation of data to identify preventive and therapeutic approaches.
DOI: 10.6084/m9.figshare.25451689.v15
title: 1_perception&motor_EEGdata

description: EEG data for experiment 1.Each folder contains:a) Raw EEG files for one subject (subX), named as "subX.cnt" and "subX.evt" generated by ANT eego device;b) "subX.seg" files contains the segment time if the EEG recording was paused during experiment (NOT for all subjects);c) a log file (.txt) that records all information during preprocessing;d) pure EEG datasets (.set file generated by eeglab) for each of four conditions.*Note that EEG data for subject No.12 has an incomplete data set due to excessive artifacts.
DOI: 10.17632/wp4cd7x3yx
title: Data for: More Suffering, More Involvement? The Causal Effects of Seismic Disasters on Social Capital
DOI: 10.6084/m9.figshare.13020704.v1
title: Religion, COVID-19 and Elections in Russia

description: datasets for a manuscript "The Symphony is Over? The effect of the COVID-19 pandemic on the Russian Orthodox Church-State relations "Dataset 1 - a segment of Russian wave from Values in Crisis Survey 2020Dataset 2 - regional-level data on COVID-19 infection rate, religiosity, socioeconomic development, voting ofor constitutional amendments (July 1, 2020) in Russia<br>
DOI: 10.6084/m9.figshare.19307042.v4
title: MA_Original data_code_picture.zip

description: MA算法的原始数据
DOI: 10.6084/m9.figshare.24076245.v3
title: R code and data used in the manuscript "<b>A novel framework to examine potential social influence of scientists and NGOs in marine conservation</b>"

description: This folder contains the R codes and data used in a manuscript, <b>A novel framework to examine social influence of scientists and NGOs in marine conservation</b>.
DOI: 10.6084/m9.figshare.25602348.v1
title: The genome annotation files of galling aphids <i>Slavum lentiscoides</i> and <i>Chaetogeoica ovagalla</i>

description: Genome annotation files of <i>Slavum lentiscoides</i> and <i>Chaetogeoica ovagalla</i> include gff3 file, coding sequences and protein sequences. Their corresponding genome sequences were deposited at GenBank under the accession number GCA_032441835.1 and GCA_032441825.1.
DOI: 10.6084/m9.figshare.7442528.v1
title: Data files and R codes

description: The zip files contains the outpatient and inpatient data of scarlet fever in Taiwan and also the developed R codes and related neighboring matrix and paired distance.
DOI: 10.6084/m9.figshare.12420797.v1
title: Supplementary Fig.2.xlsx

description: Supplementary Fig.2.xlsx
DOI: 10.17632/cc7g3nt5kh
title: Brazilian National Household Sample Survey (PNAD)

description: The PNAD is a representative household survey conducted annually by the Brazilian Institute of Geography and Statistics (IBGE) to collect socio-economic and demographic information about the Brazilian population, including household composition, education, labour, income, migration, and fertility.
DOI: 10.17632/pbjhh3nzss
title: Put on the light! Foreign Direct Investment, Governance and Access to Electricity 

description: Put on the light! Foreign Direct Investment, Governance and Access to Electricity
DOI: 10.6084/m9.figshare.28660736.v1
title: UCM 188.4 digital model and image set

description: UCM 188.4 pterosaur tracks<i>Pteraichnus </i>isp.Summerville Formation, Del Monte MinesOxfordian, Upper Jurassic
DOI: 10.6084/m9.figshare.4765477.v1
title: List of DOIs of papers collected by SciHub

description: A list of 62,835,101 DOIs in alphabetical order, for which the papers have been collected on SciHub, as detailed via the official SciHub twitter account at 12.34pm EST on 19th March 2017 (https://twitter.com/Sci_Hub/status/843546352219017218)<br>Sci-Hub is an online search engine with over 58,000,000 academic papers and articles available for direct download, bypassing publisher paywalls. New papers are uploaded daily when accessed through educational institution proxies, and papers that have been accessed through Sci-Hub are stored in the LibGen repository.
DOI: 10.6084/m9.figshare.5554552.v1
title: Experiment FREEFORM-SubjectC-151210-2States

description: Experiment in which subject voluntary left or right hand key strokes, whereas EEG recording and key strokes recording were performed.
DOI: 10.17632/dkv6b3xj99
title: Single Point Corn Yield Data - Weather, Soil, Cultivation Area, and Yield for Precision Agriculture

description: This data comprises processed weather, soil, yield, and cultivation area for corn yield prediction in Sub-Sahara Africa, with emphasis on Nigeria. The data was collected to design a corn yield prediction model to help smallholder farmers make smart farming decisions. However, the data can serve several other purposes through analysis and interpretation.

The reference study region in Africa is Nigeria. The focuses on corn crop because there are over 211.4 million people, of which a large percentage of the population are smallholder farmers. Nigeria [9.0820° N, 8.6753° E] is within an arable land area of 34 million hectares located on the west coast of Africa. The region comprises of 36 states with the most and least number of districts being 214 and 10, respectively. For each state, the environment data are collected as follows. 
 
Grid map climate data – This data spans spatial resolutions between ~1 km2 to ~340 km2 from the high spatial resolution WorldClim global climate database22. Each grid point on the map is monthly data from January to December between 1970 and 2000 years and records 8 climate variables. The variables are average temperature C0, minimum temperature C0, maximum temperature C0, precipitation (mm), solar radiation (kJ m^(-2) day(-1), wind speed (m s(-1)), and water vapor (kPa) taken at 30 seconds (s), 2.5 minutes m, 5 m, and 10 m. 
 
Grid map soil data – This data is obtained from 250 minutes of spatial resolution AfSIS soil data23 from year 1960 to 2012. The variables are wet soil bulk density, dry bulk density (kg dm-3), clay percentage of plant available water content, hydraulic conductivity, the upper limit of plant available water content, the lower limit of, organic matter percentage, pH, sand percentage (g 100 g-1), silt percentage (g 100 g-1) and, clay percentage (g 100 g-1), and saturated volumetric water content variables measured at depths 0–5, 5–10, 10–15, 15–30, 30–45, 45–60, 60–80, 80–100, and 100–120 measured in centimeters (cm). 
 
Corn yield data – This data is available on Kneoma Corporation website24. It ranged from years 1995 to 2006 and consisted of a corn yield of 1000 metric tonnes and a cultivation area of 1000 hectares. 
 
Geolocation coordinates (latitude and longitude) – The geolocation of each of the 36 states with their districts is sampled from Google Maps. The output feds into the Esri-ArcGIS 2.5, a professional geographical software, for extracting the point-cloud values of each environmental variable (weather and soil) at specific geolocation of the 36 states of Nigeria.

Other Descriptions:
Data type - Continous and Categorical
Dataset Characteristics - Tabular
Associated Tasks - Regression
Feature Type - Real
Number of Instances - 1828
Number of Features: 12
DOI: 10.17632/vpm6gdt4np
title: Raw EMG data recorded from a hindlimb muscle of hemiparkinsonian rats

description: The source of this dataset is the research article “Quantifying muscle alterations in a Parkinson's disease animal model using electromyographic biomarkers”. This study evaluated the effect of a neurotoxic lesion model of Parkinson's disease (PD) on muscle function of freely moving rats. Electromyographic recordings were obtained from control and hemiparkinsonian rats walking in a circular treadmill. 
The animal model of PD were obtained with an intracerebral injection of 6-hidroxidopamine. This neurotoxin was injected into the substantia nigra pars compacta of one hemisfere to induce the motor deficits associated to this Parkinson's disease animal model.
Recordings were obtained with a bipolar electrode implanted on the biceps femoris muscle of the rats hindlimb in order to evaluate the effects of the lesion in the muscle function.
More details about the experimental protocol and data adquisition can be obtained from the article related.
DOI: 10.17632/yvgg24th6g
title: Occupational Contact Dermatitis: Retrospective Analysis of North American Contact Dermatitis Group Data, 2001 to 2016

description: Provide an overview of occupational skin disease (OSD) and analysis of occupational ACD in North American patients undergoing patch-testing 2001-2016. Methods: Patients with OSD were analyzed for frequency of allergic reactions to a screening series of allergens, occupational relevance, location of skin disease, and exposure sources. Demographic and occupation/industry information was recorded. Results: Of 38,614 patients evaluated, 4471 (11.6%) had OSD, of whom 3150 (70.5%) had ACD. The most common occupationally related allergens included rubber accelerators, preservatives and bisphenol A epoxy resin. Hands (75.8%), arms (30.0%) and face (15.9%) were common sites of dermatitis.. The most affected occupations were service workers and machine operators. Limitations: Our cohort may not reflect the general working population. Conclusion: This study identified common occupational allergens, exposure sources, and occupations/industries at risk. This information may help the clinician evaluate and manage patients with occupational contact dermatitis
DOI: 10.6084/m9.figshare.14588937.v1
title: HP-PPI dataset after applying the mMKGap feature extraction algorithm

description: This dataset consists of 3 sets of data, each including a train data, a validation data, and a test data. These are basically extracted features from host-pathogen proteins with a class label, which determines whether the host and pathogen interact or not. The data is symmetric (the number of positive class protein pairs equals the number of negative class pairs) and the features have been extracted using the mMKGap algorithm from the PyFeat library.
DOI: 10.6084/m9.figshare.21707816.v1
title: DOCI N-Triples dataset of the provenance information of all the citation data

description: This dataset contains the provenance information (in N-Triples format) of all the citation data included in DOCI, released on 13 December 2022. In particular, any citation in the dataset includes the following provenance information: <strong>[citation IRI]</strong> the Open Citation Identifier (OCI) for the citation, defined in the final part of the URL identifying the citation (https://w3id.org/oc/index/coci/ci/[OCI]);; <strong>[property "prov:wasAttributedTo"]</strong> the IRI of the agent that have created the citation data; <strong>[property "prov:hadPrimarySource"]</strong> the IRI of the source dataset from where the citation data have been extracted; <strong>[property "prov:generatedAtTime"]</strong> the creation time of the citation data. <strong>[propert "prov:invalidatedAtTime"]</strong> the start of the destruction, cessation, or expiry of an existing entity by an activity. <strong>[property "oco:hasUpdateQuery"]</strong> the UPDATE SPARQL query that keeps track of which metadata have been modified. The size of the zipped archive is 7.3 GB, while the size of the unzipped N-Triples file is 305 GB.Additional information about DOCI at official webpage.
DOI: 10.6084/m9.figshare.7938467.v1
title: Efficacy of dermocosmetic lightening product on the solar lentigines of the hands.xlsx

description: The current data refer to a study designed to evaluate solar lentigines hyperpigmentation, skin architecture and clinician and patient assessments comparing a dermocosmetic lightening product with a moisturizing product according to clinical, digital and subjective analyses in a large population with a long (12-month) application and follow up period.
DOI: 10.17632/5s4mt7xrd9
title: Mexican Sign Language's Dactylology and Ten First Numbers - Labeled images and videos. From person #1 to #5

description: The dataset comprises edited recordings of Mexican sign language's Dactylology (29 signs) and Ten First Numbers (from 1 to 10), including static and continuous signs accordingly from person 1 to person 5. The edited recordings are organized for easy access and management. Edited videos and screenshots of static signs are labeled in their file with corresponding sign language representations and stored in a consistent order per person, the number of the cycle of recording, and per hand. Static sign images can be exported in PASCAL VOC format with XML annotations too. The dataset is designed to facilitate feature extraction and further analysis in Mexican sign language recognition research.
DOI: 10.6084/m9.figshare.28926662.v1
title: <b>Khat (</b><b><i>Catha edulis</i></b><b>) and metabolic syndrome: A Systematic review</b>

description: Khat (<i>Catha edulis</i>) is a psychostimulant herb grown in East Africa and the Arabian Peninsula, mainly in Yemen, Ethiopia, Somalia, Madagascar and Kenya. Given that the use of khat has transcended its traditional geographical locations, owed to factors such as migration and enhanced accessibility there is enhanced need to understand health implications of the substance especially regarding non-communicable diseases (NCDs), whose prevalence is increasing globally.The relationship between khat and metabolic health is hard to understand because different studies undertaken in the previous years are diverse in study designs, sample population and methods. Because there is variation in khat chewing with regard to frequency, amount, and regional differences in cathinone content, it is hard to make generalizations. Moreover, the specific roles of khat in the development of Metabolic syndrome (MetS) are likely to be masked by several interfering effects that arise from the interaction of khat with different risks behaviors including alcohol and tobacco smoking which co-exist with khat intake. This review aimed to evaluate the data on how khat affects components of MetS, particularly, body weight, obesity, lipid profile changes and hypertension.
DOI: 10.17632/k3xxscmhbr
title: AMOS Output Result of Knowledge Sharing Intentions

description: This data is to support the quantitatitive research of Knowledge Sharing Intentions
DOI: 10.6084/m9.figshare.25471969.v1
title: fish.csv

description: Dataset on individual fish (Acanthurus tractus) observed during SCUBA transects around the island of Curacao. Contains information on the number of lesions (spots) on one side of each fish caused by trematode infection.
DOI: 10.6084/m9.figshare.6066584.v1
title: Activity data of Chilean power grid with tap

description: Power grid activity data of 'with tap' network version in CSV format. The unit is MWh and hourly time series data. The values are original as the raw data source. It includes detailed attributes of nodes.
DOI: 10.6084/m9.figshare.1552021.v1
title: Labor Dataset

description: Labor Dataset
DOI: 10.6084/m9.figshare.28485953.v1
title: Multi-dimensional domain generalization with low-rank structures

description: In conventional statistical and machine learning methods, it is typically assumed that the test data are identically distributed with the training data. However, this assumption does not always hold, especially in applications where the target population are not well-represented in the training data. This is a notable issue in health-related studies, where specific ethnic populations may be underrepresented, posing a significant challenge for researchers aiming to make statistical inferences about these minority groups. In this work, we present a novel approach to addressing this challenge in linear regression models. We organize the model parameters for all the sub-populations into a tensor. By studying a structured tensor completion problem, we can achieve robust domain generalization, i.e., learning about sub-populations with limited or no available data. Our method novelly leverages the structure of group labels and it can produce more reliable and interpretable generalization results. We establish rigorous theoretical guarantees for the proposed method and demonstrate its minimax optimality. To validate the effectiveness of our approach, we conduct extensive numerical experiments and a real data study focused on diabetes prediction for multiple subgroups, comparing our results with those obtained using other existing methods.
DOI: 10.6084/m9.figshare.7325243.v1
title: Poster - Identification of SHACL Constraints from a Knowledge Graph.pdf

description: This project is a proof of concept in finding patterns in knowledge graphs and use them to validate new incoming data. This is done statistically mining an appropriate schema. We use SHACL-SPARQL.
DOI: 10.17632/vymjrkhr22
title: data

description: Air pollutants and chronic obstructive pulmonary disease
DOI: 10.6084/m9.figshare.10171304.v1
title: data of vomiting.xlsx

description: This data is about the original result of acupoint selection rule of postoperative nausea and vomiting treated by Acupuncture.
DOI: 10.6084/m9.figshare.953671.v2
title: Advancing Bag-of-Visual-Words Representations for Lesion Classification in Retinal Images

description: Diabetic Retinopathy (DR) is a complication of diabetes that can lead to blindness if not timely discovered. Automated screening algorithms have the potential to improve identification of patients who need further medical attention. However, the identification of lesions must be accurate to be useful for clinical application. The bag-of-visual-words (BoVW) algorithm employs a maximum-margin classifier in a flexible framework that is able to detect the most common DR-related lesions such as microaneurysms, cotton-wool spots and hard exudates. BoVW was developed to bypass the need for pre- and post-processing of the retinographic images, as well as the need of specific <em>ad hoc </em>techniques for identification of each type of lesion. An extensive evaluation of the BoVW model, using three large retinograph datasets (DR1, DR2 and Messidor) with different resolution and collected by different healthcare personnel, was performed. The results demonstrate that the BoVW classification approach can identify different lesions within an image without having to utilize different algorithms for each lesion reducing processing time and providing a more flexible diagnostic system. Our BoVW scheme is based on sparse low-level feature detection with a Speeded-Up Robust Features (SURF) local descriptor, and mid-level features based on semi-soft coding with max pooling. The best BoVW representation for retinal image classification was an area under the receiver operating characteristic curve (AUC-ROC) of 97.8% (exudates) and 93.5% (red lesions), applying a cross-dataset validation protocol. To assess the accuracy for detecting cases that require referral within one year, the sparse extraction technique associated with semi-soft coding and max pooling obtained an AUC of 94.2±2.0%, outperforming current methods. These results indicate that, for retinal image classification tasks in clinical practice, BoVW is equal and, in some instances, surpasses results obtained using dense detection (widely believed to be the best choice in many vision problems) for the low-level descriptors.
DOI: 10.6084/m9.figshare.11826636.v1
title: Dataset of speech acoustic features from gay men, heterosexual men, and heterosexual women.

description: Dataset used in the study 'Speech Acoustic Features: A Comparison of Gay Men, Heterosexual Men, and Heterosexual Women' by Suire, A., Tognetti, A., Durand, V., Raymond, M., & Barkat-Defradas, M. (2020). Along with the dataset is a word file that describes all the variables in it. For additional information, please contact A. Suire (alexandresuire@hotmail.fr) or A. Tognetti (arnaud.tognetti@gmail.com). <br>
DOI: 10.6084/m9.figshare.19127780.v1
title: Environmental and climatic metadata - feather moss nitrogen fixation and cyanobacterial biomass

description: Metadata used in the article entitled "New insights into the drivers of moss-associated nitrogen fixation and cyanobacterial biomass in the eastern Canadian boreal forest".<br>This metadata comprises environmental parameters (temperature, precipitation, nitrogen deposition, tree density) measured on a latitudinal transect in Quebec, Canada; and nutrients (carbon, nitrogen, phosphorus and metal concentrations), nitrogen fixation and cyanobacterial biomass measured in feather mosses collected on this transect.
DOI: 10.6084/m9.figshare.9761792.v1
title: Loss of CENPF leads to developmental failure in mouse embryos

description: Aneuploidy caused by abnormal chromosome segregation during early embryo development leads to embryonic death or congenital malformation. Centromere protein F (CENPF) is a member of centromere protein family that regulates chromosome segregation during mitosis. However, its necessity in early embryo development has not been fully investigated. In this study, expression and function of CENPF was investigated in mouse early embryogenesis. Detection of CENPF expression and localization revealed a cytoplasm, spindle and nuclear membrane related dynamic pattern throughout mitotic progression. Farnesyltransferase inhibitor (FTI) was employed to inhibit CENPF farnesylation in zygotes. The results showed that CENPF degradation was inhibited and its specific localization on nuclear membranes in morula and blastocyst vanished after FTI treatment. Also, CAAX motif mutation leads to failure of CENPF-C630 localization in morula and blastocyst. These results indicate that farnesylation plays a key role during CENPF degradation and localization in early embryos. To further assess CENPF function in parthenogenetic or fertilized embryos development, morpholino (MO) and Trim-Away were used to disturb CENPF function. CENPF knockdown in Metaphase II (MII) oocytes, zygotes or embryos with MO approach resulted in failure to develop into morulae and blastocysts, revealing its indispensable role in both parthenogenetic and fertilized embryos. Disturbing of CENPF with Trim-Away approach in zygotes resulted in impaired development of 2-cell and 4-cell, but did not affect the morula and blastocyst formation because of the recovered expression of CENPF. Taken together, our data suggest CENPF plays an important role during early embryonic development in mice. <b>Abbreviation</b>: CENPF: centromere protein F; MO: morpholino; FTI: Farnesyltransferase inhibitor; CENPE: centromere protein E; IVF: <i>in vitro</i> fertilization; MII: metaphase II; SAC: spindle assembly checkpoint; Mad1: mitotic arrest deficient 1; BUB1: budding uninhibited by benzimidazole 1; BUBR1: BUB1 mitotic checkpoint serine/threonine kinase B; Cdc20: cell division cycle 20
DOI: 10.6084/m9.figshare.c.3674959_d5.v1
title: manual patch clamp raw.zip

description: Raw data on manual patch clamp measurements are stored under manual patch clamp raw. The first detachment tests subfolder contains data on the experiments with the three Accutase, Trypsin, and Detachin solutions. The second pharmacology subfolder contains the raw data on the pharmacological measurements.