cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/rcxnhsbffh
title: Right-hand and Feet Motor Imagery (EEG Signals)

description: EEG Recordings on Right-hand and Feet Motor Imagery for training and testing. Data is formatted as DataFrame and archived in CSV files with the following fields: [Date, Subject, Session, Run, Events, Time, Ch1,...,Ch15]. Registers were sampled at 512 Hz. Full description of data may be found at: https://www.degruyter.com/view/j/bmte.2016.61.issue-1/bmt-2014-0117/bmt-2014-0117.xml. Data is also archived in MAT files: -Two class motor imagery (002-2014)- URL: http://bnci-horizon-2020.eu/database/data-sets. You can load this data easily using pandas in Python: # Python 3.x import pandas as pd df = pd.read_csv('S01T.csv') df.head()
DOI: 10.6084/m9.figshare.19532953.v1
title: Genome assembly of an Australian native grass species reveals a recent whole genome duplication and biased gene retention of genes involved in stress response

description: This is the fasta file of the <i>Bothriochloa decipiens </i>chromosomal level final genome assembly and the gff file of gene annotation. This was used in the study titled as "Genome assembly of an Australian native grass species reveals a recent whole genome duplication and biased gene retention of genes involved in stress response" which will be submitted to Molecular Ecology Resources journal.
DOI: 10.17632/58d95h7wkc
title: Stratum corneum ceramide profiles provide reliable indicators of remission and potential flares in atopic dermatitis

description: This dataset is supporting information for the original article entitled "Stratum corneum ceramide profiles provide reliable indicators of remission and potential flares in atopic dermatitis." The dataset includes the information of SC ceramide profiles analyzed in our study.
DOI: 10.17632/fb2fcx9zgc
title: Latent tuberculosis among Mexican healthcare workers

description: This study aimed to determine latent TB cases among HCWs and their associated fac-tors. Methods: An analytical cross-sectional study was conducted on 300 HCWs (i.e., physicians, nurses, and stretcher-bearers) in a Mexican tertiary care Hospital. By ques-tionnaire, we obtained sociodemographic and working information. Latent TB infection screening was performed with the tuberculin skin test and confirmed by QuantiFER-ON-TB Gold testing
DOI: 10.6084/m9.figshare.16680814.v3
title: Feature table and representative DNA 16s and ITS sequences from Biological Soil Crusts of Maritime Antarctica

description: This feature table and representative DNA 16s and ITS sequences were obtained from 16s/ITS sequencing of biological soil crusts from Maritime Antarctica (King George Island, in proximity to Henryk Arctowski Polish Base). Primers used for 16s were 341F and 785R and primers used for ITS were ITS3F and ITS4R<br>
DOI: 10.6084/m9.figshare.25270126.v1
title: ESM2-3B-Human-Gene-Embeddings

description: This contains gene embeddings computed by obtaining proteins that correspond to a given gene, embedding them via ESM2-3B and averaging out these embeddings.
DOI: 10.17632/dwc8h3fvv6
title: Data for: Energy performance analysis of airport terminal buildings by use of architectural, operational information and benchmark metrics

description: Energy consumption data and simulation results for energy benchmark of airport terminal buildings
DOI: 10.6084/m9.figshare.22117466.v1
title: Railkill data_Balule

description: Data used in study Mortality on the Tracks: Spatiotemporal patterns to rail-kill in the Balule Nature Reserve, South Africa (doi: 10.1002/wlb3.01167). Location data has been removed to protect location information of vulnerable species
DOI: 10.6084/m9.figshare.22680646.v8
title: Formato para Programa Analítico (actualizado 16-11-2023)

description: Un formato personal del Programa Analítico de Estudio, acorde al Plan de Estudio 2022.
DOI: 10.6084/m9.figshare.23546517.v3
title: Data and Analysis Code: Non-Consummatory Behavior Signals Predict Aversion-Resistant Alcohol Drinking in Head-Fixed Mice

description: This file contains behavioral data and analysis code for a study examining aversion-resistant drinking in head-fixed mice.<br>Abstract:A key facet of alcohol use disorder is continuing to drink alcohol despite negative consequences (so called "aversion-resistant drinking"). In this study, we sought to assess the degree to which head-fixed mice exhibit aversion-resistant drinking and to leverage behavioral analysis techniques available in head-fixture to relate non-consummatory behaviors to aversion-resistant drinking. We assessed aversion-resistant drinking in head-fixed female and male C57BL/6J mice. We adulterated 20% (v/v) alcohol with varying concentrations of the bitter tastant quinine to measure the degree to which mice would continue to drink despite this aversive stimulus. We recorded high-resolution video of the mice during head-fixed drinking, tracked body parts with machine vision tools, and analyzed body movements in relation to consumption. Female and male head-fixed mice exhibited heterogenous levels of aversion-resistant drinking. Additionally, non-consummatory behaviors, such as paw movement and snout movement, were related to the intensity of aversion-resistant drinking. These studies demonstrate that head-fixed mice exhibit aversion-resistant drinking and that non-consummatory behaviors can be used to assess perceived aversiveness in this paradigm. Furthermore, these studies lay the groundwork for future experiments that will utilize advanced electrophysiological techniques to record from large populations of neurons during aversion-resistant drinking to understand the neurocomputational processes that drive this clinically relevant behavior
DOI: 10.17632/8m4d8t55jy
title: Numerical solution to the Vlasov equation: The 1D code

description: Abstract The code solves the one-dimensional Vlasov equation by an Eulerian Flux Balance algorithm (E. Fijalkow, A numerical solution to the Vlasov equation, Comput. Phys. Commun 116 (1999) 319–328). The self consistent electric field given by the solution of the Poisson equation is calculated by a method given by G Knorr et al. (G. Knorr, B. Joyce, A.J. Marcus, J. Comput. Phys. 38 (1980) 227–236). The output of the code is the distribution function in phase space and a listing of diagnostics as total... Title of program: vl1dper Catalogue Id: ADJQ_v1_0 Nature of problem The numerical solution of the Vlasov Poisson system is commonly used to follow the evolution of plasmas. For years the most used method has been particles simulation (PIC codes). Advantages of the method are its capability to run with a small number of particles, its accurate treatment of advection and the absence of a need for velocity space meshes. The major inconvenience of that method is its inefficiency to present the behaviour of high velocity particles in near Maxwellian plasmas. These ki ... Versions of this program held in the CPC repository in Mendeley Data ADJQ_v1_0; vl1dper; 10.1016/S0010-4655(98)00147-7 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2018)
DOI: 10.17632/9c87bd42ct
title: Redsea Dataset

description: This dataset was collected from one of Abdul Latif Jameel Electronics stores in Jeddah, Saudi Arabia. The store sells home appliances, ACs, and Smart TVs. The dataset consists of 2,700 unique transactions with 32 attributes. All transactions are from the Western Region branch—Tahliah Showroom—and occurred between July 2023 and October 2023.
DOI: 10.17632/dwhnr26sfd
title: Determination of shelf life of Solanum tuberosum

description: Good Classification of Solanum tuberosum
1. Correct Species Identification
Modern science correctly identifies Solanum tuberosum as a distinct species within the genus Solanum, family Solanaceae.
It is distinguished by key characteristics:
Underground tuber production 
Distinct flower structure
Particular arrangement of leaves 
Tuber skin and flesh variations
Thus, potatoes are well-separated from their close relatives like tomatoes (Solanum lycopersicum) and eggplants (Solanum melongena).
2. Recognition of Subspecies
Today, cultivated potatoes are organized into two main subspecies:
This division reflects evolutionary adaptation and supports better crop management. Recognizing subspecies helps match varieties to appropriate climates and environments.
3. Use of Cytogenetic Evidence
The potato shows various ploidy levels.
4. Genetic and Molecular Advances
Modern taxonomy incorporates genetic methods:
Chloroplast DNA analysis.
Microsatellite markers (short repeating DNA sequences).
SNP genotyping (single nucleotide polymorphisms).
Whole genome sequencing.
These tools confirm that Solanum tuberosum is closely related to several wild species but genetically distinct from them.
Molecular markers have helped create a clear evolutionary tree ("phylogeny") for potatoes and their relatives.
This molecular classification is more robust and objective compared to relying only on appearance.
5. Practical Impact
Good classification directly impacts real-world issues:
Breeding: Creating potatoes resistant to diseases like late blight (caused by Phytophthora infestans).
Conservation: Protecting wild relatives critical for future
breeding.
Without solid classification, efforts in these areas would be fragmented and inefficient.
Bad Classification of Solanum tuberosum
1.Cultivation practices.
This over-splitting caused Taxonomic confusion.
Difficulty in identifying germplasm.
Hindrance to breeding programs.
2. Confusion Between Wild and Cultivated Forms
Wild relatives such as Solanum acaule, Solanum demissum, and Solanum stoloniferum share many features with cultivated potatoes.
In the absence of genetic evidence, early scientists sometimes:
Lumped different species together wrongly.
Mistook hybrid forms as new species.
This blurring made understanding the domestication history of the potato extremely difficult
3. Lack of Genetic Basis
Until the 20th century, taxonomy relied heavily on visible traits (phenotypes), without understanding underlying genetics.
Problems included:
Phenotypic plasticity: The same genotype producing different appearances under different environments.
Convergent evolution: Different species developing similar traits independently.
Thus, without genetic evidence, many early classifications were inaccurate or incomplete.
4. Regional Bias and Misinterpretation
European botanists in particular often misinterpreted the diversity of Andean potatoes.
They failed to:
Recognize the sophistication of Indigenous agricultural systems.
DOI: 10.17632/xjsrpk5xv7
title: Love of Learning Survey

description: This data is a cross-sectional survey of 112 students from Spring 2023. 

The setting is Franklin University Switzerland, a small joint American-Swiss Liberal Arts college in Lugano, Switzerland. 

The variables include the students' year of study, major, academic travel frequency, as well as self-reported GPA, love of learning, and 10 classroom related psychological Flow variables, indexed via averaging.

Relationships between variables and differences between groups can be explored to better understand learning factors and create educational policy.
DOI: 10.6084/m9.figshare.23899524.v1
title: percentile-seeking d-multiple estimate

description: For two defined gamma distributions with equal expected values, many two-sample random drawings can be done, sample averages calculated from them and ultimately their difference. This is one realization of this difference expression. Doing so many times (here ten thousand times for the given distributions and sample size), many realisations are available, enough to estimate properly the distribution of the sample average difference under the null hypothesis: the two gamma distributions have the same expected values. Once the distribution is available, its 2.5 % and 97.5% p percentiles are available and thus also the multiple d in the equation p = d * (square root of the true variance of the difference of the two sample averages). If d does not fluctuate much, it can be used in practice to calculate back the percentiles (with an estimate of the square root), regardless of the form of the gamma distributions. If such percentiles are at hand, they can be used for testing the null hypothesis in practice. The dataset item contains files, such as "d_sc3_30.xls". The file name means that it concerns sample sizes of 30 and various combinations of the two gamma distribution parameters (the combinations belong to scenario 3 - see below), and the file contains the d multiple estimates for each parameter combination within the scenario. There is the "d_lower", which is the multiple leading to the 2.5% percentile, and "d_upper" leading to the 97.5% percentile.The scenarios are: scenario 1 ..both shape parameters are 1..10, scenario 2..both shape parameters are 11..20, scenario 3.. both shape params are 21..30, scenario 4..shape 1 is 1..10, shape 2 is 11..20,scenario 5..shape 1 is 1..10, shape 2 is 21..30, scenario 6..shape 1 is 11..20, shape 2 is 21..30. The scale 1 parameter is always 1..30. The scale 2 parameter is such that both distributions have the same expected values. Returning to the example "d_sc3_30.xls", this file contains d's for shape 1 = 21 = shape 2, scale 1 = 1, shape1 = 21, shape2 = 22, shape1=21, ..., shape1 = shape2=30, scale1=30. Each row in the file has the d_ lower and d_upper for one of these combinations, and the sample sizes are both always 30.
DOI: 10.6084/m9.figshare.24793623.v2
title: Global Emissions Inventory from Open Biomass Burning (GEIOBB): Utilizing Fengyun-3D global fire spot monitoring data

description: Open biomass burning (OBB) significantly impacts regional and global air quality, climate change, and human health. It is susceptible to fire types, including forests, shrublands, grasslands, peatlands, and croplands burning. Global high-resolution satellites have advantages in detecting active fires, enabling more accurate estimation of these emissions. In this study, we develop a global high-resolution (1 km×1 km) daily emission inventory associated with OBB emissions using the Chinese Fengyun-3D satellite’s global fire spot monitoring data, satellite and observational biomass data, vegetation index-derived spatiotemporal variable combustion efficiency, and land type-based emission factors. The results showed that the average annual OBB emissions for 2020–2022 were 2,586.88 Tg C, 8841.45 Tg CO<sub>2</sub>, 382.96 Tg CO, 15.83 Tg CH<sub>4</sub>, 18.42 Tg NO<sub>X</sub>, 4.07 Tg SO<sub>2</sub>, 18.68 Tg OC, 3.77 Tg BC, 5.24 Tg NH<sub>3</sub>, 15.85 Tg NO<sub>2</sub>, 42.46 Tg PM<sub>2.5</sub> and 56.03 Tg PM<sub>10</sub>. More specifically, taking carbon emissions as an example, the average annual OBB for 2020–2022 were 72.71 (BONA), 165.7 (TENA), 34.1 (CEAM), 42.9 (NHSA), 520.5 (Southern Hemisphere South America; SHSA), 13 (EURO), 8.4 (MIDE), 394.3 (Northern Hemisphere Africa; NHAF), 847 (Southern Hemisphere Africa; SHAF), 167.4 (BOAS), 27.9 (CEAS), 197.3 (Southeast Asia; SEAS), 13.2 (EQAS), and 82.4 (AUST) Tg. SHAF was identified as the regions with the largest emissions. Notably, Savanna Grassland accounted for the lion's share of the total emissions, contributing a substantial 46%, followed by Woody Savanna/Shrubs at 33%. Moreover, a notable seasonal variability characterizes OBB carbon emissions, with a marked escalation observed in July and August. This surge in carbon emissions is chiefly attributed to fires in Savanna Grasslands, Woody Savanna/Shrubs, and Tropical Forests of SHAF, SHSA, and NHAF. Fires in Savanna Grasslands were predominant in NHAF, contributing to 77% of emissions during January–April, while in SEAS, Woody Savanna/Shrubs (52%) and Tropical Forests (23%) were the primary sources. Our comprehensive high–resolution inventory of OBB emissions provide valuable information for enhancing the accuracy of air quality modelling, atmospheric transport and biogeochemical cycle studies.
DOI: 10.6084/m9.figshare.25752546.v1
title: Literatures for Shale SEM analyses

description: This folder comprises 116 papers, encompassing 180 representative shale samples from various locations worldwide with known mineral composition.
DOI: 10.17632/mnkhct54vb
title: Landslide Deformation and Temporal Prediction (LDTP) using LiCSBAS in Himalayan Terrains.

description: This data is has been generated from the LiCSBAS which is an open-source package which is operated in Python and bash to carry out InSAR time series analysis using LiCSAR products (i.e., unwrapped interferograms and coherence) this data is are freely available on the COMET-LiCS web portal.

we can easily derive the time series and velocity of the displacement using the sufficient LiCSAR products which are available in the area of interest. LiCSBAS also contains visualization tools to interactively display the time series of displacement to help investigation and interpretation of the results.

Here is the reference: 

Morishita, Y.; Lazecky, M.; Wright, T.J.; Weiss, J.R.; Elliott, J.R.; Hooper, A. LiCSBAS: An Open-Source InSAR Time Series Analysis Package Integrated with the LiCSAR Automated Sentinel-1 InSAR Processor. Remote Sens. 2020, 12, 424, https://doi.org/10.3390/RS12030424.
DOI: 10.17632/vx466gmfsr
title: SUPPLEMENTARY MATERIAL: Milk component ratios and their associations with energy balance indicators and serum calcium concentration in early-lactation spring-calving pasture-based dairy cows

description: Supplementary material for manuscript "Milk component ratios and their associations with energy balance indicators and serum calcium concentration in early-lactation spring-calving pasture-based dairy cows"
DOI: 10.6084/m9.figshare.14882322.v4
title: A global dataset of seaweed net primary productivity

description: This global dataset contains a compilation of NPP records for 242 seaweed species at 419 individual sites distributed on all continents from the intertidal to 55 m depth. All records are standardized to annual aerial carbon production (g C m<sup>-2</sup> yr<sup>-1</sup>) and are accompanied by detailed taxonomical and methodological information. The dataset provides a basis for local, regional and global comparative studies of the NPP of underwater vegetation, and is pivotal for achieving a better understanding of the role seaweeds play in the global coastal carbon cycle.
DOI: 10.6084/m9.figshare.17704502.v6
title: Rare Skin Disease Database

description: We collected data from public databases containing curated, inferred, literature-based information to create a database for connecting biomedical information. With curated disease genes, phenotypes, and phenotype genes as the direct molecular signatures of rare skin diseases, this work tries to link potential drugs to candidate rare skin disease targets with matched genes through disease-gene or disease-phenotype-gene relationships.RSDB contains 891 rare skin diseases, 28,077 genes, 9,732 phenotypes and 16,671 compounds with 16,411 disease-gene relationships, 15,793 disease-phenotype relationships, 12,184 disease-reference relationships, 638,151 gene-phenotype relationships, 17,636 gene-reference relationships and 61,282 references.Users can visit the RSDB homepage (https://rsdb.cmdm.tw) to explore the data for rare skin disease information.The RSDB is under the Attribution-NonCommercial-ShareAlike 4.0 international License(https://creativecommons.org/licenses/by-nc-sa/4.0/).
DOI: 10.6084/m9.figshare.18130610.v1
title: archive.zip

description: This dataset is used to Predict behavior to retain customers. You can analyze all relevant customer data and develop focused customer retention programs.<br>The owner of data is BlastChar and is available at https://www.kaggle.com/blastchar/telco-customer-churn/metadata<br>
DOI: 10.6084/m9.figshare.7841132.v2
title: HEC-RAS_Models for RiBaSIC

description: This zip file contains the HEC-RAS models developed by Md. Nowfel Mahmud Bhuyian and Alfred Kalyanapu at Tennessee Tech University. They include the RAS models for the selected sections of the following rivers:<br>SA1. Willamette River in Oregon, USA SA2. Kushiyara River in BangladeshSA3. Jamuna River in BangladeshSA4. Solimoes River in Brazil
DOI: 10.17632/ccrcyjm262
title: Chapter 3: Pressure-driven Eruption of Liquid Reservoirs in Titan's Ice Shell

description: Data and codes to reproduce the results presented in Chapter 3: Pressure-driven Eruption of Liquid Reservoirs in Titan's Ice Shell of my dissertation.
DOI: 10.6084/m9.figshare.28512212.v1
title: Polistes dominula - Olfactory appetitive learning and memory 2025

description: The files contain the different datasets used to compare olfactory general learning, individual learning, general memory, specific memory and correlation between parasite load and responses during the learning phase for wasps unparasitized or parasitized with Xenos vesparum
DOI: 10.6084/m9.figshare.4491290.v1
title: Supplementary Material for: Discrete Distribution Based on Compound Sum to Model Dental Caries Count Data

description: Methods for analysing dental caries and associated risk indicators have evolved considerably in recent decades. The use of zero-inflated or hurdle models is increasing so as to take account of the decayed, missing, and filled teeth (DMFT) distribution, which is positively skewed and has a high proportion of zero scores. However, there is a need to develop new statistical models that involve pragmatic biological considerations on dental caries in epidemiological surveys. In this paper, we show that the zero-inflated and the hurdle models can both be expressed as a compound sum. Using the same compound sum, we then present the generalized negative binomial (GNB) distribution for dental caries count data, and provide a numerical application using the data of the EPIPAP study. The GNB model generates the best score functions while handling the lifetime dental caries disease process better. In conclusion, the GNB model suits the nature of some count data, in particular when structural zeros are unlikely to occur and when several latent spells can lead to new countable events. For these reasons, the use of the GNB distribution appears to be relevant for the modelling of dental caries count data.
DOI: 10.17632/jc57mcyv6t
title: Introducing PROFESS 3.0: An advanced program for orbital-free density functional theory molecular dynamics simulations

description: Abstract Orbital-free density functional theory (OFDFT) is a linear-scaling first-principles quantum mechanics method used to calculate the ground-state energy of a given system. Here we present a new version of PRinceton Orbital-Free Electronic Structure Software (PROFESS) with new features. First, PROFESS 3.0 provides a set of new kinetic energy density functionals (KEDFs) which are designed to model semiconductors or transition metals. Specifically, PROFESS 3.0 includes the Huang–Carter (HC) KEDF [... Title of program: PROFESS Catalogue Id: AEBN_v3_0 Nature of problem Given a set of coordinates describing the initial ion positions under periodic boundary conditions, the problem is to determine the ground state energy, electron density, ion positions, and cell lattice vectors predicted by orbital-free density functional theory. The computation of all terms is effectively linear scaling. Parallelization is implemented through domain decomposition, and up to around 10,000 ions may be included in the calculation on just a single processor, limited by RAM. Versions of this program held in the CPC repository in Mendeley Data AEBN_v1_0; PROFESS; 10.1016/j.cpc.2008.07.002 AEBN_v2_0; PROFESS; 10.1016/j.cpc.2010.09.001 AEBN_v3_0; PROFESS; 10.1016/j.cpc.2014.12.021 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2019)