cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.20065958.v1
title: Polymer structure and stress-strain curve

description: Polymer structere(polymer), Morphology (field) and Stress-strain curve (ssresults) <br> file name: N{chain length}_f{volume fraction of A}_t{asymmetricity, tau}_{order of axis}.npy N60_f02_t016_120 means chain length N=60, volume fraction of A is 0.2, tau is 0.16, and order of axis(x is original y(=1),y is original z(=2), and z is original x(=0) <br> polymer data don' t have order of axis. <br> format: 1. polymer: real value of N, phiA and tau. 1. morphology: 1d array of volume fraction of A segments coverted from 64x64x64 3d data. 2. stress-strain curve: strain from 0 to 3.0 and corresponding stress are discritized to 101 data [ [strain] [stress] ] -&gt; [ [0.0, 0.03, 0.06...3.0] [0, 0.001, 0.0015...0.01]]. <br>
DOI: 10.6084/m9.figshare.24954945.v3
title: A nondestructive testing dataset of rocks with different section shapes, different integralities, and different flaws

description: Structure of folders<pre>  Dataset<br>  ├── 1.shape<br>  | ├── R-S-0-0-0(circle)<br>  | └── R-C-0-0-0(square)<br>  ├── 2.crackLengthAndShape<br>  | ├── G-I-0-0-0(no crack)<br>  | ├── G-N-1-1-5(1mmx5mm)<br>  | ├── G-N-1-1-10(1mmx10mm)<br>  | ├── G-N-1-1-15(1mmx15mm)<br>  | ├── G-N-1-1-20(1mmx20mm)<br>  | ├── G-N-1-2-5(2mmx5mm)<br>  | ├── G-N-1-3-5(3mmx5mm)<br>  | ├── G-N-1-4-5(4mmx5mm)<br>  | ├── G-N-1-5-5(5mmx5mm)<br>  | ├── G-N-2-1-5(double1mmx5mm)<br>  | ├── G-N-2-1-10(double1mmx5mm)<br>  | ├── G-N-4-1-5(quadruple1mmx5mm)<br>  └── README.md<br>  <br>  directory: 14</pre>Data formatIn the collection stage, samples for each time period are annotated through manual recording. During the dataset construction phase, the data is partitioned based on the index supplied by the internal data structure within the file. The mechanical wave detection captured a singular signal pulse spanning a duration of 1638.4 microseconds. In accordance with the instrument's sampling interval of 0.2 microseconds, Python was utilized to transfer signal data in the form of a matrix with dimensions 8192×2.Dataset overviewThis dataset can be very huge (192 GB), so it is compressed in zip format.The total data number in this dataset is summarized in Table: Subdirectory Number of data (Unit: unit) Subdirectory Number of data (Unit: unit) Subdirectory Number of data (Unit: unit) R-S-0-0-0 82930 G-N-1-1-15 59227 G-N-1-5-5 58696 R-C-0-0-0 109217 G-N-1-1-20 90721 G-N-2-1-5 61088 G-I-0-0-0 112596 G-N-1-2-5 53833 G-N-2-1-10 61340 G-N-1-1-5 31814 G-N-1-3-5 57700 G-N-4-1-5 81908 G-N-1-1-10 56403 G-N-1-4-5 77939 Total 995412 <br><b>Acknowledgement</b>Readers are welcome to use this dataset for any type of research.Creator: Zhuoran Tian, Chunjiang ZouDataset correspondence: 220204912@aa.seu.edu.cn, chunjiang.zou@brunel.ac.uk
DOI: 10.6084/m9.figshare.28366967.v2
title: SOAD raw data

description: SOAD raw data. Please inquire with the author before using this data.
DOI: 10.6084/m9.figshare.28425452.v2
title: Non-Contact ECG

description: <br>Thank you very much for your interest in our work!<br>This repository contains data and code for the AI Radar ECG.<br>Below are the key components:Demo.m: Tests the trained models using the test dataset.TrainingPerformance.m: Displays the training performance of the trained models.TrainedModels.m: Trains the models using the training and validation datasets.PQRST_Detection.m: Detects P, Q, R, S, and T waves in radar ECGs.<br>Thank you!Wishing you happiness every day.
DOI: 10.6084/m9.figshare.19898714.v1
title: Evaluation of cerebral hemodynamics by transcranial Doppler ultrasonography and its correlation with intracranial pressure in an animal model of intracranial hypertension

description: ABSTRACT Background: Transcranial Doppler has been tested in the evaluation of cerebral hemodynamics as a non-invasive assessment of intracranial pressure (ICP), but there is controversy in the literature about its actual benefit and usefulness in this situation. Objective: To investigate cerebral blood flow assessed by Doppler technique and correlate with the variations of the ICP in the acute phase of intracranial hypertension in an animal model. Methods: An experimental animal model of intracranial hypertension was used. The experiment consisted of two groups of animals in which intracranial balloons were implanted and inflated with 4 mL (A) and 7 mL (B) for controlled simulation of different volumes of hematoma. The values of ICP and Doppler parameters (systolic [FVs], diastolic [FVd], and mean [FVm] cerebral blood flow velocities and pulsatility index [PI]) were collected during the entire procedure (before and during hematoma simulations and venous hypertonic saline infusion intervention). Comparisons between Doppler parameters and ICP monitoring were performed. Results: Twenty pigs were studied, 10 in group A and 10 in group B. A significant correlation between PI and ICP was obtained, especially shortly after abrupt elevation of ICP. There was no correlation between ICP and FVs, FVd or FVm separately. There was also no significant change in ICP after intravenous infusion of hypertonic saline solution. Conclusions: These results demonstrate the potential of PI as a parameter for the evaluation of patients with suspected ICP elevation.
DOI: 10.6084/m9.figshare.24446731.v1
title: SAM Factor Analysis output.xlsx

description: This is the raw factor analysis/loadings for the Smartphone Addiction Measure
DOI: 10.6084/m9.figshare.27187584.v2
title: Paper Supplementary material and Raw data

description: Supplementary material and Raw data from an optimised bead beating method used to extract high quality RNA from tough-to-lyse gram-positive bacteria
DOI: 10.6084/m9.figshare.5121823.v1
title: Supplementary Material for: <i>CDH3</i>-Related Syndromes: Report on a New Mutation and Overview of the Genotype-Phenotype Correlations

description: Hypotrichosis with juvenile macular dystrophy (HJMD) and ectodermal dysplasia, ectrodactyly and macular dystrophy (EEM) are both caused by mutations in the <i>CDH3</i> gene. In this report, we describe a family with EEM syndrome caused by a novel <i>CDH3</i> gene mutation and review the mutation spectrum and limb abnormalities in both EEM and HJMD. A protein structure model showing the localization of different mutations causing both syndromes is presented. The <i>CDH3 </i>gene was sequenced and investigation of the mutations performed using a protein structure model. The conservation score was calculated by ConSurf. We identified a novel <i>CDH3</i> gene mutation, p.G277V, which resides in a conserved residue located on a β-strand in the second cadherin domain. Review of the data on previously published mutations showed intra-familial and inter-familial variations in the severity of the limb abnormalities. Syndactyly was the most consistent clinical finding present in all the patients regardless of mutation type. The results of our study point to a phenotypic continuum between HJMD and EEM. It is important for genetic counseling to keep in mind the possible clinical/phenotypic overlap between these 2 syndromes and to be aware of the possible risk of limb abnormalities in future pregnancies in families with HJMD syndrome. <i>CDH3</i> gene mutation screening is recommended in patients with both these syndromes as part of the work-up in order to offer appropriate genetic counseling.
DOI: 10.6084/m9.figshare.956227.v1
title: Effect of nitrogen rate on root architecture in 'Beauregard' sweetptoato

description: Data set used in Villordon, A., D. Labonte, N. Firon, and E. Carey. 2013. Variation in nitrogen rate and local availability alter root architecture attributes at the onset of storage root initiation in ‘Beauregard’ sweetpotato. HortScience 48, 808-815.
DOI: 10.17632/t7xbmj5jm5
title: Data: Population and species neighbor identity impact trait-trait relationships and plant performance

description: Population Ecology: Population and species neighbor identity impact trait-trait relationships and plant performance 2025

Trait variation among and within plant species can affect the intensity and direction of plant-plant interactions (e.g., competition, facilitation) and influence whether species can coexist. Trait differences can result from plastic responses to plant-plant interactions and can influence trait hierarchies creating inferior and superior competitors. Trait differences between interacting species can intensify competition, strengthen competitive hierarchy or result in niche differences that help reduce competition. Consequently, it is unclear how trait values or plastic differences between individuals of the same species influence intraspecific competition, and how this impacts species coexistence, which relies upon more intense intra- rather than interspecific competition. To understand how mixtures of multiple populations (intraspecific mixtures) influence plant performance and trait outcomes in comparison to single population monocultures and interspecific mixtures, we assessed trait variation among multiple populations following plant interactions in a greenhouse common environment. We used three populations each of two forb species native to the western US in all combinations and found that four of six population pairings led to more positive interaction outcomes in intraspecific mixtures compared to monocultures. Neighbor trait differences in shoot height and root length had the largest impact on plant growth following interactions, while increasing neighbor trait differences in plant height, leaf count, and root length resulted in positive growth outcomes for both interspecific and intraspecific mixtures, and root mass fraction showed the opposite pattern. These findings show nuance in the outcomes of intraspecific interactions and that they depend on population identity and varying importance of evaluated traits.
DOI: 10.6084/m9.figshare.16574855.v1
title: Data - IRENA.xlsx

description: Source data IRENA - renewable power sources
DOI: 10.6084/m9.figshare.19062554.v1
title: Factors affecting calving to conception interval (days open) in dairy cows

description: A retrospective and prospective survival data on calving to conception interval in dairy cow.
DOI: 10.6084/m9.figshare.3466364.v2
title: Confidence Interval Examples

description: Examples demonstrating how confidence intervals change depending on the level of confidence (90% versus 95% versus 99%) and on the size of the sample (CI for n=20 versus n=10 versus n=2). Developed for BIO211 (Statistics and Data Analysis: A Conceptual Approach) at Stony Brook University in Fall 2015.
DOI: 10.17632/mjg5s9p4wp
title: Monthly average satellite-estimated dataset of phytoplankton size class in the coastal area of China during a period of 2002 - 2021

description: Based on the sea surface remote sensing reflectance products of MODIS/Aqua sensors from 2002-08 to 2021-07, and the PSC remote sensing inversion model constructed by Sun et al. (2019), PSC long-term data set is produced. The dataset contains the phytoplankton size classes (Fm, Fn, and Fp) in the Bohai Sea, the Yellow Sea, and the East China Sea from Aug. 2002 to Jul. 2021.  The data set is stored in the standard format of Matlab and contains 228 files in total, which are easy to read by each software.  
The statistical results of the long-term distribution of PSCs based on this dataset show that the coastal waters are mainly enriched by microphytoplankton, while the offshore waters are primarily dominated by nanophytoplankton. Judging from the multi-year monthly averaged PSCs in five specific areas, taking microphytoplankton as an example, there are "double peaks" in spring (May) and summer (July) in the center of the Bohai Sea and the mouth of the Yangtze River, while the North Yellow Sea area presents a spring (April), autumn (October) peak feature. Meanwhile, the spring peaks in the offshore waters of the South Yellow Sea and the East China Sea are more significant in April and March, respectively.
DOI: 10.6084/m9.figshare.11911026.v1
title: NT_Plants_Verts_SSI_rcp85_mean.tif

description: Spatial prioritization for plants and vertebrates in the Neotropics under climate change (RCP 8.5). Values in each prioritization dataset are 0 to 1 representing the rank order of each cell (1 = highest priority) scaled by the total number of cells in the solution. Prioritizations were produced with Zonation conservation planning software v4.0.0 with setting to optimize planning for climate change (see methods description in Hannah <i>et al</i>. 2020 <i>Ecography </i>https://doi.org/10.1111/ecog.05166). Existing protected areas as defined by the World Database of Protected Areas and areas of intensive agriculture or urban land use were excluded from the prioritization and appear as NoData.
DOI: 10.6084/m9.figshare.17879585.v3
title: phishing_rf_model

description: The phishing url dataset contains synthetic data of urls - some regular and some used for phishing. This is a scikit-learn pipeline wrapping a random forest model trained on the training dataset.<br>The dataset is based on the project (https://github.com/Rohith-2/url_classification_dl) byRohith Ramakrishnan (https://www.linkedin.com/in/rohith-ramakrishnan-54094a1a0/) and others, accompanied bya blog post (https://medium.com/nerd-for-tech/url-feature-engineering-and-classification-66c0512fb34d&gt;).<br>The dataset is released under Creative Commons Zero v1.0 Universal (CC0 1.0).
DOI: 10.6084/m9.figshare.19936070.v5
title: Data for Do Mturkers Collude in Online Experiments?

description: Data generated for the project: "Do Mturkers Collude in Online Experiments?" <br>
DOI: 10.6084/m9.figshare.28953866.v1
title: <b>Supplementary information on characterization of red-pigmented yeasts and genes associated with astaxanthin synthesis</b>

description: <b>Figure S1</b> High-performance liquid chromatography (HPLC) chromatogram of extracted astaxanthin (EAX), non-spiked and spiked with 10 ppm of astaxanthin (AX) standard from <i>R. mucilaginosa</i> HL26-1 (a) and <i>R. paludigena</i> LL69-1 (b).<b>Figure S2</b> Phylogenetic trees of <i>R. mucilaginosa</i> HL26-1, <i>R. paludigena</i> LL69-1, and related yeasts based on neighbor-joining with the Kimura-2-parameter method analysis of D1/D2 26S rDNA sequences generated by MEGA11 software. Bootstrap values equal to or greater than 50%, determined from 1000 replicates, are shown next to the branches. The bar represents 0.02 changes per nucleotide position.<b>Figure S3</b> Pairwise average nucleotide identity (ANI) values of <i>R. mucilaginosa</i> HL26-1, <i>R. paludigena</i> LL69-1, and other <i>Rhodotorula</i> genomes. Genomes labeled with the superscript "T" are type strains.<b>Table S1.</b> Sample sources, location, isolate number, closest species, 26S rRNA gene similarity (%)<b> </b>and identity of strains.<b>Table S2.</b> Carbon assimilation of 3 <i>R. </i><i>mucilaginosa </i>strains and 9 <i>R. paludigena</i> strains
DOI: 10.6084/m9.figshare.3206680.v2
title: WS3 maturity model - Plots and tables

description: Tables and plots
DOI: 10.17632/pc534rgswf
title: MicroED, X-ray powder diffraction and optical microscopy raw data

description: MicroED data, X-ray powder diffraction data and optical microscopy data corresponding to the paper "Amorphous quininium aspirinate from neat mechanochemistry: Diffracting nanocrystalline domains and quick recrystallization upon exposure to solvent vapours".
DOI: 10.17632/zrmhyr5y32
title: AutoDock Docking Results between mFMO and Indole

description: AutoDock software was used to mimic the docking between flavin-containing monooxygenase cloned from Methylophaga sp. strain SK1 (mFMO) and indole. The structure of mFMO was from Protein Data Bank (PDB) numbered 2vq7. The results demonstrated that indole is in the catalytic cavity of mFMO and closes to FAD and NADPH.
DOI: 10.6084/m9.figshare.20329152.v1
title: Supplementary Table S7

description: Differential peaks annotation of keratinocytes.
DOI: 10.6084/m9.figshare.29222105
title: AFECTS

description: <b>Objectives</b>: The Fear of Positive Evaluation (FPE) has recently garnered attention in the context of Social Anxiety Disorder (SAD). FPE has been linked to various personality traits in both clinical and non-clinical samples. Additionally, studies have explored the link between personality traits and FPE. Accordingly, this study aims to investigate how affective and emotional temperament can predict FPE in patients suffering from SAD. <b>Method</b>: Data collection tools included the Social Phobia Inventory (SPIN), the Fear of Positive Evaluation Scale (FPES), and the Affective and Emotional Composite Temperament Scale (AFECTS). <b>Results</b>: Results revealed that, when controlling for the severity of SAD, FPE was correlated with all components of emotional temperament except Anger. Moreover, some components of emotional temperament, including inhibition, control, and desire, significantly predicted FPE. In terms of affective temperament, FPE was correlated with some components of affective temperament, including Depressive, Anxious, Volatile, and Irritable. Moreover, some components of affective temperament, including anxious, irritable, and disinhibited, significantly predicted FPE. <b>Conclusion</b>: Our results indicate the significant role of emotional and affective temperamental components in predicting fear of positive evaluation in patients suffering from SAD.
DOI: 10.6084/m9.figshare.29222105.v1
title: AFECTS

description: <b>Objectives</b>: The Fear of Positive Evaluation (FPE) has recently garnered attention in the context of Social Anxiety Disorder (SAD). FPE has been linked to various personality traits in both clinical and non-clinical samples. Additionally, studies have explored the link between personality traits and FPE. Accordingly, this study aims to investigate how affective and emotional temperament can predict FPE in patients suffering from SAD. <b>Method</b>: Data collection tools included the Social Phobia Inventory (SPIN), the Fear of Positive Evaluation Scale (FPES), and the Affective and Emotional Composite Temperament Scale (AFECTS). <b>Results</b>: Results revealed that, when controlling for the severity of SAD, FPE was correlated with all components of emotional temperament except Anger. Moreover, some components of emotional temperament, including inhibition, control, and desire, significantly predicted FPE. In terms of affective temperament, FPE was correlated with some components of affective temperament, including Depressive, Anxious, Volatile, and Irritable. Moreover, some components of affective temperament, including anxious, irritable, and disinhibited, significantly predicted FPE. <b>Conclusion</b>: Our results indicate the significant role of emotional and affective temperamental components in predicting fear of positive evaluation in patients suffering from SAD.
DOI: 10.15468/dl.7ra3a6
title: Occurrence Download

description: A dataset containing 58 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Dominica",
 "TaxonKey is Miconia angustifolia (Sw.) Griseb."
 ]
}

 The dataset includes 58 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017278-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/4mh3-b108
title: "MSDGNet"

description: "we selected typical open-source target recognition datasets for pre- 327training"
DOI: 10.15468/dl.6q6fyg
title: Occurrence Download

description: A dataset containing 484 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Saxifraga burseriana L."
 ]
}

 The dataset includes 484 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017282-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.74dz6c
title: Occurrence Download

description: A dataset containing 58 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Dominica",
 "TaxonKey is Miconia angustifolia (Sw.) Griseb."
 ]
}

 The dataset includes 58 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017283-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7t47x6
title: Occurrence Download

description: A dataset containing 966 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cyclocarya paliurus (Batalin) Iljinsk."
 ]
}

 The dataset includes 966 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017284-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/iop6la
title: Replication Data of: Diversity in Architectural Students’ Preferences for Biophilic Patterns in Learning Spaces

description: The uploaded data consists of three files: Supplementary 1 represents all raw data collected anonymously from participants, including their demographic information and biophilic pattern preferences. Supplementary 2 represents the interviewer's written notes from the interview with participants. Supplementary 3 represents the AI exercise output as an image of each participant speaking for his/her environmental preferences in the most desirable or preferred learning space.
DOI: 10.15468/dl.bf3k2k
title: Occurrence Download

description: A dataset containing 65827 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Mycobacterium Lehmann & Neumann, 1896"
 ]
}

 The dataset includes 65827 records from 508 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017277-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.acz689
title: Occurrence Download

description: A dataset containing 314 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Korea, Republic of",
 "GadmGid is KOR.11.1_2",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 2015-2025"
 ]
}

 The dataset includes 314 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017285-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fb8254
title: Occurrence Download

description: A dataset listing the 97 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is one of (Gambia, Senegal)",
 "OccurrenceStatus is Present",
 "TaxonKey is Rodentia"
 ]
}

 The dataset's 97 records were derived from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017281-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15549412
title: Data from: Co-application of basalt and biochar enhances carbon dioxide removal and mitigates greenhouse gas emissions in rice paddies
DOI: 10.5281/zenodo.15549413
title: Data from: Co-application of basalt and biochar enhances carbon dioxide removal and mitigates greenhouse gas emissions in rice paddies
DOI: 10.15468/dl.hxxp8y
title: Occurrence Download

description: A dataset containing 62 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Myadestes lanaiensis (S.B.Wilson, 1891)"
 ]
}

 The dataset includes 62 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017287-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.