cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15482/usda.adc/1527918
title: Growth and Yield Data for the Bushland, Texas, Winter Wheat Datasets

description: This dataset consists of growth and yield data for each season when winter wheat (Triticum aestivum L.) was grown for grain at the USDA-ARS Conservation and Production Laboratory (CPRL), Soil and Water Management Research Unit (SWMRU) research weather station, Bushland, Texas (Lat. 35.186714°, Long. -102.094189°, elevation 1170 m above MSL). In each season, winter wheat was grown for grain on two large, precision weighing lysimeters, each in the center of a 4.44 ha square field. The square fields are themselves arranged in a larger square with the fields in four adjacent quadrants of the larger square. Fields and lysimeters within each field are thus designated northeast (NE), southeast (SE), northwest (NW), and southwest (SW). Irrigation was by linear move sprinkler system. Irrigation protocols described as full were managed to replenish soil water used by the crop on a weekly or more frequent basis as determined by soil profile water content readings made with a neutron probe to 2.4-m depth in the field. Irrigation protocols described as deficit typically involved irrigations to establish the crop early in the season, followed by reduced or absent irrigations later in the season (typically in the later winter and spring).
    The growth and yield data include plant population density, height (except in 1989-1990), plant row width, leaf area index, growth stage, total above-ground biomass, leaf and stem biomass, head mass (when present), kernel number, and final yield. Data are from replicate samples in the field and non-destructive (except for final harvest) measurements on the weighing lysimeters. In most cases yield data are available from both manual sampling on replicate plots in each field and from machine harvest.
    These datasets originate from research aimed at determining crop water use (ET), crop coefficients for use in ET-based irrigation scheduling based on a reference ET, crop growth, yield, harvest index, and crop water productivity as affected by irrigation method, timing, amount (full or some degree of deficit), agronomic practices, cultivar, and weather. Prior publications have focused on winter wheat ET, crop coefficients, and crop water productivity. Crop coefficients have been used by ET networks. The data have utility for testing simulation models of crop ET, growth, and yield and have been used by the Agricultural Model Intercomparison and Improvement Project (AgMIP) and by many others for testing, and calibrating models of ET that use satellite and/or weather data.
DOI: 10.6084/m9.figshare.16837090.v1
title: EMPA_s7238.xlsx

description: Electron microprobe analysis For composition of sample S7238, together with SEM picture of sample recovered from experiment at 24 GPa and 470 W heating (~2750 K).<br>
DOI: 10.6084/m9.figshare.21431157.v1
title: Isotropic tissue expansion using ProteomEx

description: Figure 3. Validation of ProteomEx in different tissue types. (A) Representative bright-field images of different tissue slices pre-expansion (left column) and post-expansion (middle column; Coomassie-stained) and overlay (right column) of pre-expansion image (green pseudo-color) and registered post-expansion image (magenta pseudo-color). Arrows represent the deformation vector field (n=3, 3, and 3 tissue slices from one mouse each; in the images of the expanded sample white circles represent the dissected area for peptide analysis shown in C). (B) The root-mean-square (RMS) measurement length error for pre- versus post- expansion brain slice images for the experiments shown in A (n=3, 3, and 3 tissue slices from one mouse each; average LEF = 5.8, 6.5, and 6.2 for brain, liver, and tumor respectively; blue line, mean; shaded area, standard deviation (SD)). Computer codes used for isotropic analysis for this study are available from Github (https://github.com/Wendy-k2/Isotropy-quantification).
DOI: 10.6084/m9.figshare.28003661.v1
title: Table S2

description: Properties of Acinetobacter plasmids including their Rep-type
DOI: 10.6084/m9.figshare.17711363.v3
title: A hybrid approach for mass valuation of residential properties through GIS and Machine Learning integration

description: This repository contains data and codes that support the findings of the study.<br>- PPD-EPC open dataset with the enriched spatial analyses scores and UPRN.<br>- Batch Geocoding Notebook of PPD-EPC dataset with GeoPy - Here API- PyQGIS codes for proximity, terrain, and visibility spatial analyses.- Jupyter Notebook of Machine Learning algorithms for mass property valuation.<br>
DOI: 10.6084/m9.figshare.22494601.v1
title: aci-bench-corpus.zip

description: A corpus of textual data corresponding to synthetic clinical encounters, including each encounters’ dialogue transcript and clinical notes.
DOI: 10.6084/m9.figshare.28023626.v2
title: Large Language Models as Multi-Task Learners in Materials Science

description: Multi-task fine-tuning data for the paper "Large Language Models as Multi-Task Learners in Materials Science"
DOI: 10.6084/m9.figshare.3532055.v1
title: Appendix A. Analysis of the “predator–spreader” model and its variants.

description: Analysis of the “predator–spreader” model and its variants.
DOI: 10.6084/m9.figshare.11567046.v1
title: Supplementary Material for: Baseline Mac-2 Binding Protein Glycosylation Isomer Level Stratifies Risks of Hepatocellular Carcinoma in Chronic Hepatitis B Patients with Oral Antiviral Therapy

description: <b><i>Background and Aims:</i></b> Mac-2 binding protein glycosylation isomer (M2BPGi) is a novel biomarker correlating with liver fibrosis stages. However, little is known about how it predicts risks of hepatocellular carcinoma (HCC) in chronic hepatitis B (CHB) patients receiving long-term antiviral treatment. <b><i>Materials and Methods:</i></b> The study contained 2 parts. The first part was to explore whether M2BPGi could be an HCC predictor in 899 CHB patients receiving long-term entecavir therapy. The second part was to validate the findings in an independent cohort of 384 on-treatment CHB patients with more severe liver disease. <b><i>Results:</i></b> In the discovery cohort, there were 64 patients developing HCC within an average follow-up of 7.01 years. Our data showed that M2BPGi level was positively associated with HCC development. When stratifying the patients by an M2BPGi level of 1.73 (the third quartile), the high M2BPGi group was shown to have an increased HCC risk compared to the low M2BPGi group with hazard ratio of 5.80 (95% CI 3.50–9.60). Furthermore, we found that the M2BPGi level complements PAGE-B score, a well-validated HCC prediction model, to predict HCC development. Lastly, the cutoff was validated in the independent cohort, especially those with an intermediate PAGE-B score. <b><i>Conclusions:</i></b> In CHB patients receiving long-term antiviral treatment, serum M2BPGi level not only serves as an independent HCC predictor but also complements PAGE-B in stratifying HCC risks.
DOI: 10.6084/m9.figshare.28710605.v1
title: Pisa_yearly_precipitation_dataset.csv

description: Yearly precipitation amount measured in Pisa (Tuscany, Italy) from 1708 to 2024.
DOI: 10.6084/m9.figshare.29066861.v1
title: Figures Energy Literacy

description: Energy literacy
DOI: 10.6084/m9.figshare.29123963.v1
title: Primary dataset for the manuscript "Evaluating the contribution of <i>Sporosarcina</i> to carbonate precipitation in anaerobic soils"

description: This dataset contains raw and processed data used in the study titled <i>"Evaluating the contribution of Sporosarcina to carbonate precipitation in anaerobic soils: a microbial community and quantitative analysis."</i> The files include:Raw 16S rRNA gene sequencing data (relative abundances by genus)qPCR Ct values for total bacterial abundanceCalculated absolute abundance of <i>Sporosarcina</i>Bray–Curtis dissimilarity matrix and NMDS coordinatesStatistical outputs from two-way ANOVA (oxygen × incubation time)The data were generated from continuous and batch soil reactor experiments designed to evaluate the population dynamics of <i>Sporosarcina</i> under aerobic and anaerobic conditions. These materials support the findings presented in the manuscript and are provided for replication, review, and further analysis.
DOI: 10.17632/ydpcbyhjw7
title: Menthol mouth rinsing does not improve running performance at different temperature ranges

description: The dataset from this study pertains to the impact of L-menthol (MEN) mouth rinsing (MR) on running performance and psychophysiological responses during a 10-km time trial in different temperature conditions. The study was conducted with eight male participants (mean age = 34 ± 4 years; VO2max = 64.5 ± 5.5 ml/kg/min) in a randomized, double-blind, placebo-controlled, crossover design.

Participants completed a total of seven 10-km running time trials (three at 22°C, two at 28°C, and two at 34°C) under three experimental conditions: control (CON; only at 22°C), placebo (PLA), and L-menthol (MEN). The data include 10-km performance times for each condition and temperature, as well as psychophysiological measures such as thermal sensation, comfort, perceived effort, and affective response.

Results indicated that there were no significant differences in performance times between MEN and PLA across all temperature conditions (P &gt; 0.05), although MEN showed a non-significant trend towards faster times at 28°C (54 seconds faster) and at 34°C (36 seconds faster). Psychophysiological measures varied during the trials but were not significantly influenced by MEN mouth rinsing.
DOI: 10.6084/m9.figshare.22960802.v1
title: Solutions for recycling emerging wind turbine blade waste in China are not yet effective

description: These datasets include a high-resolution wind turbine blade waste database and environmental and cost datasets for China.
DOI: 10.6084/m9.figshare.27328872.v1
title: Data Set_Constantine Study.xlsx

description: An open-label randomized clinical trial involving 108 patients with lung or gynecological cancer, with 87 completing the study. Participants were assigned to receive either dietary education plus ONS (intervention group) or dietary education alone (control group).
DOI: 10.6084/m9.figshare.28498778.v1
title: Hydrogen molecule interacting with palladium cluster anchored to graphene vacancy (H<sub>2</sub>Pd<sub>6</sub>C<sub>vac </sub>)

description: The dataset contains 100 ab-initio molecular dynamics simulations generated by DFT. It captures hydrogen molecule interacting with palladium cluster anchored to the graphene vacancy. Different processes such as H<sub>2</sub> scattering after one or multiple bouncing events, as well as H<sub>2</sub> adsorption and H<sub>2</sub> dissociation on the Pd<sub>6</sub> cluster that often involve Pd<sub>6</sub> isomerization are observed.Dataset was originally generated forAlducin, Maite, et al. "Dynamics of cluster isomerization induced by hydrogen adsorption." <i>The Journal of Physical Chemistry C</i> 123.24 (2019): 15236-15243.Each of the 100 AIMD simulations is encoded in the ASE Trajectory object, and corresponding velocities are assumed to be in the basis of lattice vectors multiplied by the integration time of the underlying simulation.
DOI: 10.17632/nms2zvmtcr
title: 2024-JGR-W-data

description: The data of "Elevated pore-water pressure regulating dynamic liquefaction of a flow-like landslide in loess"
DOI: 10.17632/t42ynjk936
title: EV Lithium Ion Battery Fault Diagnosis Dataset

description: To train and test two ANN models, two separate datasets are developed based on battery modelling in MATLAB. State of Charge (SOC), Temperature and Voltage are the input features in both datasets. Where as against output label column in first dataset 0 represents healthy battery and 1 represents unhealthy battery. Similarly in second dataset 0 represents healthy battery and 1 represents battery has over discharge fault in battery and 2 indicates short circuit fault in the battery.
DOI: 10.6084/m9.figshare.13739086.v7
title: Amazonian mammal monitoring using aquatic environmental DNA

description: Run 1<br> Compressed file containing: 1) Forward sequence file; 2) Reverse sequence file.<br> <br> Run 2<br> Compressed file containing: 1) Forward sequence file; 2) Reverse sequence file.<br> <br> Run 3<br> Compressed file containing: 1) Forward sequence file; 2) Reverse sequence file.<br> <br> Run 4<br> Compressed file containing: 1) Forward sequence file; 2) Reverse sequence file.<br> <br> Run 5<br> Compressed file containing: 1) Forward sequence file; 2) Reverse sequence file.<br> <br> Run 6<br> Compressed file containing: 1) Forward sequence file; 2) Reverse sequence file.<br> <br> Run 7<br> Compressed file containing: 1) Forward sequence file; 2) Reverse sequence file.<br> <br> Run 8<br> Compressed file containing: 1) Forward sequence file; 2) Reverse sequence file.<br> <br> Run 9<br> Compressed file containing: 1) Forward sequence file; 2) Reverse sequence file.<br> <br> Run 10<br> Compressed file containing: 1) Forward sequence file; 2) Reverse sequence file.<br> <br> Run 11<br> Compressed file containing: 1) Forward sequence file; 2) Reverse sequence file.<br> <br> Run 12<br> Compressed file containing: 1) Forward sequence file; 2) Reverse sequence file.<br> <br> Run 13<br> <br> Site data<br> A table with 1)Site name, 2)Drainage basin, 3)Latitude, 4)Longitude, 5)Strahler order, 6)Watercourse type, 7)Sampling years, 9)PCR sample name for Replicate 1, 10)PCR sample name for Replicate 2<br> Compressed file containing: 1) Forward sequence file; 2) Reverse sequence file. <br> Run 14<br> Compressed file containing: 1) Forward sequence file; 2) Reverse sequence file. Sites_data.csv <br> Metadata A table with 1)Library name, 2)Drainage basin, 3)PCR sample name, 4)Tag, 5)Reverse primer, 6)Forward primer, 7)Run number Metadata.csv <br> <br> A table with 1)Library name, 2)Drainage basin, 3)PCR sample name, 4)PCR number, 5)Tag, 6)Reverse primer, 7)Forward primer, 8)Run number Metadata_Sinnamary_Fish<br>
DOI: 10.6084/m9.figshare.19391718.v1
title: DNA methylation profiles in pneumonia patients reflect changes in cell types and pneumonia severity

description: Immune cell-type composition changes with age, potentially weakening the response to infectious diseases. Profiling epigenetics marks of immune cells can help us understand the relationship with disease severity. We therefore leveraged a targeted DNA methylation method to study the differences in a cohort of pneumonia patients (both COVID-19 positive and negative) and unaffected individuals from peripheral blood. This approach allowed us to predict the pneumonia diagnosis with high accuracy (AUC = 0.92), and the PCR positivity to the SARS-CoV-2 viral genome with moderate, albeit lower, accuracy (AUC = 0.77). We were also able to predict the severity of pneumonia (PORT score) with an R<sup>2</sup> = 0.69. By estimating immune cellular frequency from DNA methylation data, patients under the age of 65 positive to the SARS-CoV-2 genome (as revealed by PCR) showed an increase in T cells, and specifically in CD8+ cells, compared to the negative control group. Conversely, we observed a decreased frequency of neutrophils in the positive compared to the negative group. No significant difference was found in patients over the age of 65. The results suggest that this DNA methylation-based approach can be used as a cost-effective and clinically useful biomarker platform for predicting pneumonias and their severity.
DOI: 10.6084/m9.figshare.26272657.v1
title: Soil health is associated with higher primary productivity across Europe - Extended dataset

description: Supplementary dataset from manuscript entitled <i>Soil health is associated with higher primary productivity </i><i>across Europe</i> including edaphic properties and microbial community attributes from each individual soil sample (n = 588)
DOI: 10.6084/m9.figshare.964776.v2
title: Data for "No evidence for automatic imitation in strategic context"

description: Supplementary data for the outcomes of trials and the reaction times of participants in our experiment.
DOI: 10.17632/bmcs4kwnw9
title: SUPPLEMENTARY MATERIAL

description: SUPPLEMENTARY MATERIAL
To
Differential scanning calorimetry as a tool to assess the oxidation state of cold-pressed oils during shelf-life 
Mahbuba Islama, Anna Kaczmareka, Jolanta Tomaszewska-Grasa*
a Department of Food Safety and Quality Management, Poznań University of Life Sciences, ul. Wojska Polskiego 31/33, 60-637 Poznań, Poland
mahbuba.islam@up.poznan.pl, ORCID: 0000-0003-1860-3718; anna.kaczmarek@up.poznan.pl, ORCID: 0000-0001-7888-0026
*Corresponding author: e-mail: jolanta.tomaszewska-gras@up.poznan.pl, ORCID: 0000-0003-3964-8093
DOI: 10.17632/skbv76mvjw
title: Executive Summary: The Federal Trust Layer™ A Smart-Law Infrastructure for U.S. Financial Governance, Statutory Compliance, and Algorithmic Public Trust

description: This Executive Summary presents the foundational overview of The Federal Trust Layer™: A Smart-Law Infrastructure for U.S. Financial Governance, Statutory Compliance, and Algorithmic Public Trust. It outlines the legal, constitutional, and operational architecture of the first deterministic compliance system in U.S. history that transforms federal statutes into verifiable, executable smart contract logic.

CLEARfund™, the Doctrine’s first live deployment, is examined as a Regulation D–compliant, IRS-integrated smart contract platform. This document affirms that no new legislation is required and that no agency’s jurisdiction is displaced. Instead, statutory mandates are enforced in real time, under warrant-gated, privacy-preserving protocols that uphold the Fourth and Fifth Amendments.

Designed for policymakers, federal agencies, legal scholars, and system engineers, this summary bridges constitutional doctrine and code-bound enforcement. It emphasizes that The Federal Trust Layer™ does not expand surveillance—it codifies law. It does not challenge judicial authority—it honors it. This Executive Summary stands as a sovereign-grade legal invitation to translate compliance into executable trust—faithful, reviewable, and constitutionally secure.
DOI: 10.17632/sxtmmr6mvk
title: Surah Al-Ikhlas of the Holy Qur'an Error Detection Dataset

description: This dataset presents surah Al-Ikhlas (112th chapter of the Holy Qur'an) as a Standard Arabic data for the automatic detection of people's Quran recitation to determine whether their recitation is correct or not. The data (the sound of the reciter) were collected from 1-08-2021 to 1-09-2021 using Google forms and Qur’anic audio websites and then checked and labeled manually by 5 Qur’an experts. The data contain 1506 records. These data can be used to develop machine-learning and classification models to detect users’ Holy Qur'an (Standard Arabic) reading (recitation) mistakes.
DOI: 10.6084/m9.figshare.26716510.v1
title: Enhanced joint energy transfer potential by the biarticular gastrocnemii muscles during perturbed walking

description: The dataset used by our project is submitted here to provide data accessibility.
DOI: 10.6084/m9.figshare.28188242.v1
title: Seattle Demo Accompanying Files

description: We release the data, code, and prepared city graph objects to facilitate city scale building operating energy prediction with Seattle as a case study. The zipped folder consists of five separate folders:Trained_Model (Pretrained GNN model weights in PyTorch format)Seattle Graphs (Contains city object nodes and COO format edges)LCZ_raster (100M global local climate zone raster, obtained from https://doi.org/10.5194/essd-14-3835-2022)Image_Model (Pretrained Resnet-18 image encoder)Building_Satellite (Placeholder folder for building satellite images)Due to file storage limitations, building satellite files are separately available at: 1) 10.6084/m9.figshare.28188230, 2)10.6084/m9.figshare.28188005, and 3) 10.6084/m9.figshare.27091783.The provided files are supplementary to the code repository which provides Python notebooks stepping through the data preprocessing, GNN training, and satellite imagery download processes. For any questions or clarifications, please contact: winyap@mit.edu.
DOI: 10.6084/m9.figshare.28479800.v1
title: road network and river data of Chongming, Shanghai

description: road network and river data of Chongming, Shanghai
DOI: 10.6084/m9.figshare.5123386.v1
title: Supplementary Material for: The Release of a Troop of Rehabilitated Vervet Monkeys <i>(Chlorocebus aethiops)</i> in KwaZulu-Natal, South Africa: Outcomes and Assessment

description: Rehabilitation and release have become central to the management and welfare of primate species in South Africa such as the vervet monkey <i>(Chlorocebus aethiops)</i>. However, limited research means that it is unknown whether rehabilitation is a successful management strategy for this species. This study describes the release of a troop of rehabilitated vervet monkeys and evaluates the results of 1 year of post-release monitoring. The released animals exhibited wild behaviours and established a home range. Survival could not be adequately evaluated due to the high number of untraceable animals, and troop composition was significantly different from that of wild troops. Improvement may be gained by radio-collaring more animals using improved technology, ensuring that troop composition is comparable to wild troops, excluding ex-pets from re-introduction and a more detailed assessment of the release site.
DOI: 10.17632/tym567zw5j
title: National Strategic Food Commodity Price

description: The Strategic Food Price Information Center is a digital-based information system managed by Bank Indonesia since 2016, and functions to collect and disseminate prices of strategic food commodities in all provinces in Indonesia. The price information presented includes strategic food commodities such as rice, purebred chicken eggs, purebred chicken meat, beef, red chilies, cayenne peppers, shallots, garlic, cooking oil and granulated sugar. Until 2023, the National PIHPS price monitoring survey will cover four types of markets, namely traditional markets, modern markets, wholesalers and producers.
DOI: 10.6084/m9.figshare.20407758.v1
title: MA_CHMA_System_Pre_Post_pXRD.xls

description: Pre and Post pXRD dataset for bulk perovskite samples exposed to longitudinal degradation testing. This dataset is used in an upcoming paper on an Open Source Aging Chamber in RSC Digital Discovery. This data is used to generate Figure 4a, 4c, and S3a.
DOI: 10.6084/m9.figshare.21674078.v1
title: E. coli mge-cluster model

description: This item uploads all the files constituting the E. coli model presented in the mge-cluster manuscript which can be used to predict the clustering assignment in new plasmid sequences
DOI: 10.6084/m9.figshare.25965298.v1
title: Germline missense MSH2 VUS - 2

description: Molecular dynamics simulation of the VUS based on the ClinVar database, the simulation is up to 100 ns.
DOI: 10.17632/gx5py3k45f
title: Navigating through cyberattacks: The role of tax aggressiveness

description: This research investigates the impact of cyberattacks on tax aggressiveness using a difference-in-differences analysis with a matched sample. We find that firms experiencing cyberattacks are more likely to have lower cash effective tax rates and greater discretionary book-tax differences. We further show that cyberattacks have a greater impact on corporate tax aggressiveness when firms are more exposed to financial distress. Additional analyses show tax aggressiveness increases less when firms are in states with enactments of notification laws and firms with ex ante higher cybersecurity investment. Our aggregate results suggest that firms take more tax risky positions in response to greater financial distress and information asymmetry, which are attributed to the consequences of cyberattacks.
DOI: 10.6084/m9.figshare.19221666.v3
title: Jackalope Data

description: Dataset to show how important it is to visualise data while running analysis of any kind