cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.20982196.v1
title: Supplementary Material for: Frontostriatal circuits alterations associated with cognitive flexibility deterioration in Huntington's disease

description: Background: Recent resting-state functional magnetic resonance imaging studies have reported abnormal functional connectivity (FC) in the prefrontal cortex (PFC)-striatum circuit in patients with premanifest Huntington's disease (HD). However, there is a lack of evidence showing persistence of abnormal frontostriatal FC and its relation to cognitive flexibility performance in patients with clinically manifest HD. Objective: To evaluate the resting state FC integrity of the frontostriatal circuit and its relation to cognitive flexibility in HD patients and Healthy Controls (HC). Method: 18 patients with early clinical HD manifestation and 18 healthy controls matched for age, sex and education participated in this study. Both groups performed the Cambridge Neuropsychological Test Automated Battery (CANTAB) Intra-Extra Dimensional Set-Shift (IED) task, which measures cognitive flexibility. Resting-state functional magnetic resonance images (MRI) were also acquired to examine the functional connectivity in specific frontostriatal circuits. Eight regions of interest (ROI) were pre-selected based on regions previously associated with extradimensional shifting in patients with premanifest-HD. Results: Significant negative correlations between the number of attentional set-shifting errors and the ventral striatum-ventrolateral PFC FC were found in the HD group. This group also showed negative FC correlations between the total errors and the FC between right ventral striatum-right ventrolateral PFC, left ventral striatum-left ventrolateral PFC, and right ventral striatum-left ventrolateral PFC. Negative correlations between the Extra Dimensional (ED) errors and left ventral striatum-left ventrolateral PFC and right ventral striatum-right ventrolateral PFC FC were also found. Finally, a positive correlation between the number of stages completed and left ventral striatum-left ventrolateral PFC FC was found. Conclusions: Manifest HD patients show significant cognitive flexibility deficits in attentional set-shifting that are associated with FC alterations in the frontostriatal circuit. These results show that FC abnormalities found in the prodromal stage of the disease can also be associated with cognitive flexibility deficits at a later clinical stage, making them good candidates to be explored in longitudinal studies.
DOI: 10.17632/974mkrxzrg
title: Data for: Extra-large grains in Late Glacial - Holocene aeolian inland dune deposits of cold climate, European Sand Belt, Poland: An evidence of hurricane-speed frontal winds

description: We present raw data concerning extra-large grains in the aeolian environments, which were collected from sixteen Late Glacial – Holocene inland dunes deposits from three regions of the northern and central Poland. Data includes grain size analysis results and estimation of wind velocity threshold for the collected material.
DOI: 10.17632/dpd3rt68ny
title: Data for: Perceived discomfort, pain and non-pain symptoms in post-anesthesia care unit: an observational study

description: Patients' report of unpleasan symptoms
DOI: 10.6084/m9.figshare.14439425.v4
title: Biofuels reserve controlled wildfire regimes since the last deglaciation: a record from Gonghai Lake, North China

description: Wildfire activity is an important activity in evolution of vegetation and carbon cycling. Whether wet weather will suppress wildfire or promote them by increasing fuel reserves during the Holocene is not clear. We obtained a record of black carbon from a sediment core spanning the last 14.8 kyr from Gonghai Lake, in North China. There is a close relationship between the timing of wildfire activity and vegetation development driven by the East Asian summer monsoon intensity. On a millennial timescales, wet climatic conditions provide a sufficient biofuels reserve, in the same period wildfire increase; thus, the regional potential biofuels reserve is shown to be an important controlling of regional wildfire activity in the monsoon region of China, under natural conditions. We infer that with the strengthening of Asian summer monsoon caused by global warming, the wildfire carbon emission in Asian monsoon region may increase in the future.<br>
DOI: 10.6084/m9.figshare.23536551.v1
title: Weather explains the decline and rise of insect biomass over 34 years

description: The zip file contains the data and R code to reproduce the Analyses in Müller et al "Weather explains the decline and rise of insect biomass over 34 years"
Data on biomass samples are compiled from published and unpublished studies.
DOI: 10.17632/7dfcm2pybs
title: parcel delivery data

description: parcel delivery zone destination data in 2014
DOI: 10.17632/n9gb9fnt47
title: South Korea Air Pollution Data 2019

description: Taken from https://www.kaggle.com/bappekim/air-pollution-in-seoul#Measurement_summary.csv, simply republished to be able to call using Sinbad Library.
DOI: 10.6084/m9.figshare.14774763.v1
title: KDDTrain+

description: The full NSL-KDD train set including attack-type labels and difficulty level in CSV format
DOI: 10.6084/m9.figshare.5968960.v3
title: Single-cell RNA-seq data from microfluidic emulsion (v2)

description: Gene-count files and metadata files for single cells from different organs of mice processed on the 10X Genomics Platform. The counts are given using the .mtx file output by the CellRanger program, with one folder per run.<br>Includes data for 422,803 droplets, 55,656 of which passed a QC cutoff of 500 genes and 1000 UMI.<br>Cell annotations using the Cell Ontology [1] controlled vocabulary are in a separate csv.<br>[1] http://purl.obolibrary.org/obo/cl.owl<br>Update 2018-09-20: Updated Annotations to latest version<br><b>Why it's different from the previous version </b>(https://figshare.com/account/projects/27733/articles/5715025):Renamed tissues for nomenclature standards: "Colon" --&gt; "Large_Intestine" "Heart" --&gt; "Heart_and_Aorta" "Muscle" --&gt; "Limb_Muscle" "Mammary" --&gt; "Mammary_Gland" "Brain_Microglia" --&gt; "Brain_Myeloid" "Brain_Non-microglia" --&gt; "Brain_Non-Myeloid"Update 2018-03-28: Uploaded resubmitted annotations, with within-tissue (organ) tSNE coordinates
DOI: 10.17632/3p38wy69fv
title: Data for: STRUCTURAL EVOLUTION OF MANTLE PERIDOTITIC ROCKS - A FORCED TRANSITION FROM DUCTILE TO BRITTLE REGIME IN THE EQUATORIAL ATLANTIC

description: Fault data and tectonic structures.
DOI: 10.6084/m9.figshare.27907056.v1
title: High-resolution fundus images for ophthalmomics and early cardiovascular disease prediction, China Fundus Carotid Intima-Media Thickness dataset

description: The China Fundus Carotid Intima-Media Thickness Dataset comprises comprehensive data from 2,903 patients, including high-resolution bilateral fundus images, carotid intima-media thickness (CIMT) measurements, and clinical information such as age and gender. The dataset was collected by the Department of Endocrinology at the Second Affiliated Hospital of Anhui Medical University between April 2015 and February 2024.Among the participants, 849 cases are classified as normal (CIMT &lt; 0.9 mm), while 2,054 cases exhibit thickened CIMT (CIMT ≥ 0.9 mm). This well-annotated dataset facilitates in-depth research on microvascular pathology and cardiovascular risk assessment.As a publicly available multimodal resource, the China Fundus CIMT dataset provides valuable support for developing AI-driven predictive models for cardiovascular disease. By integrating fundus imaging with CIMT analysis, it enables the advancement of non-invasive, cost-effective screening tools for early detection and prevention of cardiovascular conditions.
DOI: 10.6084/m9.figshare.28723763.v1
title: Data Sheet

description: We seek to assess the impact of Climate change on Agricultural Production in Cameroon
DOI: 10.17632/26mcg4jwvd
title: DensityTool: A post-processing tool for space- and spin-resolved density of states from VASP

description: The knowledge of the local electronic structure of heterogeneous solid materials is crucial for understanding their electronic, magnetic, transport, optical, and other properties. VASP, one of the mostly used packages for density-functional calculations, provides local electronic structure either by projecting the electronic wave functions on atomic spheres, or as a band-decomposed partial charge density. Here, we present a simple tool which takes the partial charge density and the energy eigenvalues calculated by VASP as input and constructs local charge and spin densities. The new data provides a much better spatial understanding than the projection on the atomic spheres. It can be visualized directly in the real space e.g. with Vesta, or averaged along planes spanned by two of the lattice vectors of the periodic unit cell. The plane-averaged local (spin) density of states can be easily plotted e.g. as color-coded data using almost any plotting program. DensityTool can be applied to visualize and understand the local electronic structure of any system calculated with VASP. We expect it to be useful especially for researchers concerned with inhomogeneous systems, such as interfaces, defects, surfaces, adsorbed molecules, or hybrid inorganic-organic composites.
DOI: 10.6084/m9.figshare.14438777.v1
title: Just Public Algorithms project database of cases

description: Description and analysis of 77 cases of public engagement with the use of algorithms in public services in the UK 2013-2020. Analysis includes the kinds of public engagement represented, the public service domains they cover, the kinds of citizens engaged, the technical focus of the engagement, and the potential benefits and risks of these approaches raised in the engagements.
DOI: 10.6084/m9.figshare.17390939.v2
title: Q methodology calculations

description: This is a record of full culculation report done on PQ Method software, using Q methodology. Schmolk, P., 2014, ‘PQ Method Manual’, Available at http://schmolck.userweb.mwn.de/qmethod/pqmanual.htm <br> The research project title is: Bringing Student Voice to Evaluation: Using Q Methodology for Creating a Student-led Question Bank.
DOI: 10.6084/m9.figshare.17946047.v1
title: NSCLC CT Scan Images

description: CT scan images and segmentations for NSCLC
DOI: 10.6084/m9.figshare.29039889.v1
title: Adverse events of concomitant use of immune checkpoint inhibitors and metformin or statin: an observational, retrospective disproportionality analysis

description: Preclinical investigations have indicated that the concurrent administration of ICIs with statins or metformin may enhance the anticancer properties. Nevertheless, the patterns of potential toxicity associated with this combination have yet to be elucidated. We utilized the Food and Drug Administration Adverse Event Reporting System (FAERS) to provide an overview of the adverse event landscape tied to the concomitant utilization of ICI and statins or metformin. Our study reveals significant side effects associated with combining ICIs with metformin or statins, including gastrointestinal, respiratory, hepatobiliary, and renal disorders. Amalgamated treatment of ICIs plus metformin may heighten the likelihood of bone marrow aplasia, inflammatory bowel disease, intestinal perforation, hepatic impairments, insomnia, autoimmune nephritis, and eczematous manifestations. For ICIs plus statins, colitis, pneumonitis, interstitial lung disease, hypothyroidism, adrenal insufficiency, myocarditis, myositis, hypophysitis, myasthenia gravis, and hepatitis. Importantly, a significant number of adverse events occur within the first two months of starting ICIs alongside metformin or statins, with some appearing after a year of treatment, emphasizing the need for ongoing monitoring. The observations delineated offer pivotal insights into the refinement of the co-administration strategy for ICIs with metformin or statins, attenuating the incidence of adverse side effects.
DOI: 10.6084/m9.figshare.28219025.v1
title: amazon_sales_dataset.xlsx

description: Amazon dataset was retrieved from data.world, an open-access repository. Created by @revanthkrishnaa.The DataSet contains historical sales data for 45 Amazon stores located in different regions.<b>Dataset Description</b>The DataSet contains historical sales data for 45 Amazon stores located in different regions. Each store contains a number of departments, and have to predict the department-wide sales for each store.In addition, Amazon runs several promotional markdown events throughout the year. These markdowns precede prominent holidays, the four largest of which are the Super Bowl, Labor Day, Thanksgiving, and Christmas. The weeks including these holidays are weighted five times higher in the evaluation than non-holiday weeks. Part of the Dataset is modeling the effects of markdowns on these holiday weeks in the absence of complete/ideal historical data.This file contains anonymized information about the 45 stores, indicating the type and size of store.This is the historical training data, which covers to 2019-02-05 to 2021-11-01. Within this file you following are the different fields:Store - the store number<br>Dept - the department number<br>Date - the week<br>Weekly_Sales - sales for the given department in the given store IsHoliday - whether the week is a special holiday week Temperature - average temperature in the region Fuel_Price - cost of fuel in the region<br>MarkDown1-5 - anonymized data related to promotional markdowns that Amazon is running. MarkDown data is only available after Nov 2020 and is not available for all stores all the time. Any missing value is marked with an NA.<br>CPI - the consumer price index<br>Unemployment - the unemployment rate<br>For convenience, the four holidays fall within the following weeks in the dataset (not all holidays are in the data):Super Bowl: 12-Feb-19, 11-Feb-20, 10-Feb-21, 8-Feb-18<br>Labor Day: 10-Sep-19, 9-Sep-20, 7-Sep-21, 6-Sep-18<br>Thanksgiving: 26-Nov-19, 25-Nov-20, 23-Nov-21, 29-Nov-18<br>Christmas: 31-Dec-19, 30-Dec-20, 28-Dec-21, 27-Dec-18Show less<br>
DOI: 10.17632/4mpsd3fzr3
title: Panel Dataset of “Digital Transformation and Economic Sustainability of Malaysian East Coast MSMEs during the COVID-19 Pandemic”

description: This dataset contains a survey about MSMEs' experiences with digital transformation and its effects on their economic sustainability during the COVID-19 pandemic. Data were gathered from 117 Malaysian East Coast MSMEs between December 2023 and May 2024 by a random sample technique. The data includes details on resource levels, digital adoption, economic sustainability, and several demographic variables of the MSME sample.
DOI: 10.17632/4x2jtpmtvg
title: Dataset of 7632 images of 53 Devanagari Alphabet Images Across 144 Spatial Positions in 5×5 Grids with 2×2 Sub grid Localization for Grid based Graphical Password Authentication.

description: The dataset is a structured image dataset designed to facilitate research in spatial localization, pattern recognition, and character classification. It contains high-resolution images of 53 distinct alphabet characters, each systematically placed within a standardized 5×5 grid layout.
Each 5×5 grid consists of 25 individual cells. Within each grid, we define 16 overlapping 2×2 sub-grids. These sub-grids serve as local regions of interest for fine-grained spatial analysis. In each 2×2 sub-grid, there are 9 specific positional locations where an alphabet image can be placed—cantered within or slightly offset relative to the subgrid to provide a range of spatial variation. This results in a total of 144 unique placement positions for each character across the entire 5×5 grid.
For every alphabet character, the dataset includes an image placed in each of these 144 locations, leading to a comprehensive total of 7,632 labeled samples (53 characters × 144 positions). All samples are consistent in size and format, and the position of each character is precisely annotated to facilitate supervised learning tasks.
The Devanagari 53 Alphabet dataset is ideal for training and evaluating models on tasks such as character localization, grid-based graphical password , and few-shot learning under positional variation. The structured spatial layout and extensive position coverage also make it suitable for research in visual attention models, object detection benchmarks, and spatially-aware neural architectures.
DOI: 10.17632/s8mnkgkmbs
title: Comprehensive Five-Year Dataset: Internal, External and In-Wall Climate Monitoring of a Retrofitted Historic Building in South Tyrol

description: The "Comprehensive Five-Year Dataset: Internal, External and In-Wall Climate Monitoring of a Retrofitted Historic Building in South Tyrol" represents an extensive and meticulous data collection stemming from a five-year long monitoring effort in a retrofitted 17th-century building located in Settequerce, South Tyrol, Italy.

This dataset includes comprehensive and continuous hygrothermal data both from within the retrofit wall stratigraphy (at three different depths) as well as from the surrounding indoor and outdoor climatic conditions. These conditions were recorded every five minutes over the course of the monitoring period. This rich dataset provides a profound understanding of the building's performance in the specific climatic context of South Tyrol's zone E or Köppen's Dfb class.

This dataset could prove particularly valuable for studies seeking to understand the impact of local climate on building performance, refine numerical models, and inform future renovation and preservation projects of similar historic buildings.

The recorded data was subjected to meticulous post-processing using Python scripts to generate hourly averages. This procedure has been undertaken to facilitate better understanding and analysis of the data. Moreover, in scenarios of equipment malfunction, signal non-reception, or inconsistent data, specific values are denoted as "NaN" (Not a Number) in the dataset. This practice allows researchers to quickly identify and exclude potential outliers or erroneous entries during analysis, maintaining the integrity and reliability of the data.
DOI: 10.6084/m9.figshare.29037947.v1
title: Data for door gods.rar

description: Original Data of article <b>Technical Study on the Materials and Technique of the Ancient Door Gods in Shaoxing, South China</b><br>
DOI: 10.6084/m9.figshare.7503860.v1
title: RR_multi.csv

description: The data includes response ratios of 11 forest attributes in restored forests vs. reference forests, a multifunctionality index and context variables, calculated for 3300 forest plots across central Spain. The data is associated with the Journal of Applied Ecology publication "Long-term recovery of multifunctionality in Mediterranean forests depends on restoration strategy and forest type"
DOI: 10.6084/m9.figshare.1289312.v1
title: Identification of real microRNA precursors with a pseudo structure status composition approach

description: The benchmark dataset contains 3,224 human pre-miRNAs, of which 1,612 are real pre-­miRNAs and 1,612 are false pre-­miRNAs. None of the sequences included has ≥80%<br>pairwise sequence identity with any other.
DOI: 10.6084/m9.figshare.15022887.v2
title: qm9_data.npz

description: QM9 Dataset in a single NPZ-file format for easy parsing.<br><br>Original QM9 data (see: https://www.nature.com/articles/sdata201422) has been parsed using a python script located here: TODO<br><br>Data can be loaded as follows:<br><br>import numpy as np<br><br>qm9 = np.load(path_to_file, allow_pickle=True)<br>coords = data['coordinates']nuclear_charges = data['charges']elements = data['elements']<br>energies = np.array(data['H_atomization']) <br>Cvs = np.array(data['Cv']) <br><br>print (data.files) for all stored properties.<br><br>
DOI: 10.6084/m9.figshare.29125403.v1
title: Sacred sites shelter native plant species in a strongly urbanized landscape - reproducible analysis

description: The code, data and documentation in this folder should allow you to replicate the analysis and figures produced in the corresponding paper titled "<b>Sacred sites shelter native plant species in a strongly urbanized landscape</b>". If questions arise, please contact me under l.schmid@nus.edu.sg or lucvalschmid@gmail.com.
DOI: 10.17632/9f5myhx6jy
title: Fast, Accurate, and Versatile Data Analysis Platform for the Quantification of Molecular Spatiotemporal Signals. Xuelong Mi

description: The datasets used in the paper "Fast, Accurate, and Versatile Data Analysis Platform for the Quantification of Molecular Spatiotemporal Signals."

Due to the size limit of Mendeley, Figure 4, Figure S6, and Figure S7 will be shared by the lead contact upon request.
DOI: 10.17632/xcycfh96x5
title: Association between mental illness with human development, income inequalities and unemployment across OECD countries

description: This is a csv file with 36 rows and 16 columns. Each row gives data for one of the 36 OECD countries. Column 1: country code Column 2: 2016 Healthcare spending (in $ per capita) Column 3: 2017 Population Column 4: 2016 Human Development Index Column 5: 2016 GINI index (if no data for 2016, data is given for 2015 or 2014) Column 6: 2016 Unemployment rate Column 7: 2017 Prevalence rate of mental disorders (all combined) Column 8: 2017 Prevalence rate of Autism Spectrum Disorders Column 9: 2017 Prevalence rate of ADHD Column 10: 2017 Prevalence rate of Depression Column 11: 2017 Prevalence rate of Schizophrenia Column 12: 2017 Prevalence rate of Anxiety disorders Column 13: 2017 Prevalence rate of Eating disorders Column 14: 2017 Prevalence rate of Alcohol use disorders Column 15: 2017 Suicide rate Column 16: 2017 Prevalence rate of Bipolar disorders
DOI: 10.4121/uuid:f7e7a85f-00ba-45c9-8b08-c2145e4e4af2
title: Morphodynamics Fringing Flat

description: Dataset containing both, field data and model results (generated by Delft3D morphodynamic model), supporting the publication ‘Morphodynamic feedback loops control stable fringing flats’. The datasets supporting Figure 1-5 contain field data: Figure 1&2 contains data from Rijkswaterstaat (RTK and `vaklodingen’ datasets). The local bathymetry data on the Kapellebank was measured by` Shore Monitoring Research’. The model input file.dep (‘Figure 4’ directory) was constructed from both sources. Figures 5-15 contain model data (generated by the Delft3D morphodynamic model that is available in the directory ‘Figure 4’).
DOI: 10.6084/m9.figshare.24131193.v1
title: Figure-2.OA-MAKEUP.npy

description: Data for Figure 2 of the paper.
DOI: 10.6084/m9.figshare.5114506.v1
title: Differences in glucose yield of residues from among varieties of rice, wheat, and sorghum after dilute acid pretreatment

description: Bio-refinery processes require use of the most suitable lignocellulosic biomass for enzymatic saccharification and microbial fermentation. Glucose yield from biomass solid fractions obtained after dilute sulfuric acid (1%) pretreatment (at 180 °C) was investigated using 14, 8, and 16 varieties of rice, wheat, and sorghum, respectively. Biomass solid fractions of each crop showed similar cellulose content. However, glucose yield after enzymatic hydrolysis (cellulase loading at 6.6 filter paper unit/g-biomass) was different among the varieties of each crop, indicating genotypic differences for rice, wheat, and sorghum. Nuclear magnetic resonance method revealed that the high residual level of lignin aromatic regions decreased glucose yield from solid fraction of sorghum.
DOI: 10.6084/m9.figshare.20353353.v9
title: Jet2 Features

description: This folder includes the features of human and yeast proteins calculated by Jet2.
DOI: 10.17632/4j7t7rdxzr
title: Data-driven bio-mimetic composite design: direct prediction of stress-strain curves from structures using cGANs (Dataset S1)

description: The dataset presents detailed results in images for all 1600 composite structures from the testing set. These images display stress-strain curves from phase-field simulations (ground truth) and model-predicted stress-strain curves, along with their corresponding composite structural arrangements and MAEs.