cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.19606372.v2
title: Get to the point: Claw morphology impacts frictional interactions on rough substrates

description: Morphological and functional data of the claws of <em>Anolis equestris</em> on four substrates of varying roughness. Data includes the effect of claw form on frictional forces, effect of claw wear on friction forces, and surface roughness parameters of the four substrates used in the study. Also included are the R scripts and TPS files used in the geometric morphometric analyses.
DOI: 10.6084/m9.figshare.25051553.v3
title: Gene expression with adjusting for covariates

description: <b>There are four uploaded files as follows.</b>TCGA_109s_GBM_IDHwt_log2TPM_genes60660_lm_adjusted_age_sex_source.txt--the log<sub>2 </sub>(TPM+1) values with regressing out the effects of age, gender, and data source using a linear model (the lm() function in the R package) for the TCGA dataset.12pairs_log2TPM_60683genes_lm_adjusted_sex_age--the log<sub>2 </sub>(TPM+1) values with regressing out the effects of age and gender using a linear model (the lm() function in the R package) for Wang et al.’s dataset (SRP074425).GLASS_87p_log2TPM_gene_lm_adjusted_age_sex_source_caseID.txt--the log<sub>2 </sub>(TPM+1) values with regressing out the effects of age, gender, data source, and paired P-R sample IDs using a linear model (the lm() function in the R package) for the GLASS dataset.GLASS_87p_log2TPM_gene_lm_adjusted_age_sex_source.txt--the log<sub>2 </sub>(TPM+1) values with regressing out the effects of age, gender, and data source using a linear model (the lm() function in the R package) for the GLASS dataset.
DOI: 10.6084/m9.figshare.27952824.v1
title: Gas-liquid two-phase bubble flow spinning for hydrovoltaic flexible electronics

description: Hydrovoltaic technologies that generate electricity by absorbing or transferring free water without chemical reactions have been explored as potential candidates for renewable energy1–3. Self-powered flexible sensors, including hydrovoltaic fibers, are becoming an important research direction in the field of renewable energy. However, integrating sensing and power generation in functional fibers remains challenging due to the need to regulate water movement to achieve performance differences4–6. Here, we present a gas-liquid two-phase flow spinning method, inspired by spider multimodal spinning, that uses bubble-triggered spinning-liquid deformation to fabricate hollow, solid spindle, and ratchet tooth-shaped fibers. These structures alter water adsorption and transfer behaviors, making them suitable for targeted applications in hydrovoltaic devices for energy and sensing fields. Shaped fibers prepared from alginate-bridged MoS₂ enable a wide range of hydrovoltaic applications. Hollow spindle fibers that generate power for over 43 hours with an open-circuit voltage of 2.1 V outdoors. Tooth-shaped fibers show high sensitivity (5.8 mV/RH%) and a rapid response time (0.66 s), leading to the development of smart masks for nasal cycle monitoring, diagnosis, and therapy as potential applications. Spinning materials were extended to materials such as carboxymethyl cellulose, polyvinyl alcohol, etc., inspiring the design of structure-responsive hydroelectric materials and advancing textile electronics.
DOI: 10.6084/m9.figshare.29038880.v3
title: Photodissociation Dynamics of XH+ (X = Na, K, Rb, Cs): Rovibrationally Resolved Shape Resonances Driven by Potential Barriers in the Ultraviolet Spectrum

description: The adiabatic PECs of XH+ (X = Na, K, Rb, Cs) and the TDMs for electronic transitions from the ground state 1<sup>2</sup>Σ<sup>+</sup> to the <sup>2</sup>Σ<sup>+</sup> and <sup>2</sup>Π excited states.The total photodissociation cross sections of NaH+, KH+, RbH+ and CsH+ at thermodynamic temperatures of 0 K, 500 K, 1000 K, 5000 K and 10000 K, respectively.<br>
DOI: 10.17632/2tzvyp5dxn
title: Islamic Social Funds Data Analysis to Measure Social Financing as Intervening Variable

description: Reference from secunder data
DOI: 10.17632/5nfjzntwd8
title: Banana and Banana Leaf Dataset for Classification and Disease Detection

description: This dataset is curated to support research in banana crop health, focusing on the classification and detection of diseases affecting banana leaves and fruits. It is designed for machine learning and deep learning applications, including image classification and computer vision-based disease diagnosis.

★Dataset Overview:
The dataset includes both raw and augmented images across various categories, covering healthy and diseased banana leaves and fruits. The diseases featured include Anthracnose, Banana Fruit-Scarring Beetle, Banana Skipper Damage, Banana Split Peel, Black and Yellow Sigatoka , Chewing insect damage on banana leaf, Healthy Banana, Healthy Banana leaf and Panama Wilt Disease.

★Composition:
Raw Data: 2375 images
Augmented Data: 9513 images

★Applications:
This dataset is valuable for:

*Machine Learning & AI Research – Training models for automated disease detection.

*Agricultural Studies – Assisting researchers in understanding banana crop health.

*Farmers & Agricultural Experts – Enabling early disease identification for better crop management.

By providing a comprehensive collection of banana and banana leaf conditions, this dataset serves as an essential resource for advancing smart agriculture and precision farming techniques. This dataset isn't just for researchers; it’s also a valuable tool for farmers and agricultural specialists who want to identify diseases early and take action to protect their crops. By using this data, we can work towards smarter farming, healthier plants, and better food security.
DOI: 10.17632/x8psbz3f6x
title: MILimbEEG: An EEG Signals Dataset based on Upper and Lower Limb Task During the Execution of Motor and Motorimagery Tasks

description: In this work, an experimental methodology for the acquisition of EEG signals from volunteer subjects was developed. The volunteers are colleagues and research fellows from ESPOL and patients of the Hospital Luis Vernaza for participating as test subjects. This dataset consists of over 8680 four-second EEG recordings obtained from 60 volunteers.

Equipment:
We use the OpenBCI Cyton + Daisy (www.openbci.com) Biosensing Board for EEG signal recording. The OpenBCI equipment has an active bandpass filter in the 5 to 50Hz range, additionally, a notch filter at 60Hz. This non-invasive device operates within a sampling frequency of 125Hz and has 16 dry electrodes with two ground references, distributed in the international 10-10 system. All 16 EEG electrodes were recorded in monopolar configuration, in which the potential of each electrode is compared with a neutral electrode located in both lobes of the ears.

Data Description:
Each recording was recorded in a CSV file format, the values of each electrode are in microvolts (uV). In total, each subject generates 124 CSV files in each experiment (run). Some subjects perform two experiments, one executing the motor tasks and the other imagining doing them. The tasks are described below:
- Recording a Baseline with Eyes Open (BEO) without any task command: only once at the beginning of each run.
- Closing Left Hand (CLH): five times per run.
- Closing Right Hand (CRH): five times per run.
- Dorsal flexion of Left Foot (DLF): five times per run.
- Plantar flexion of Left Foot (PLF): five times per run.
- Dorsal flexion of Right Foot (DRF): five times per run.
- Plantar flexion of Right Foot (PRF): five times per run.
- Resting in between tasks (Rest): after each task, in total 31 files.

CSV file encoding:
- Subject ID: Assigned ID to each test subject in order to hide their identity. e.g. Sx, such that x can be any number from 1 to 60.
- Repetition number: The participants may perform more than one repetition of the experiment. ExaOnly one subject volunteered to perform up to 4 repetitions. e.g. Rx, such that x can be any repetition number between 1 and 4.
- Motor or Motor Imagery Activity: For each repetition, participants are asked to perform first the motor tasks (M) and then the motor imagery tasks (I). & Mx and Ix, where x is the Label of the task performed.
- Label: Identifier of the performed task, where 1 is for BEO, 2 for CLH, 3 for CRH, 4 for DLF, 5 for PLF, 6 for DRF, 7 for PRF and finally 8 for Rest. e.g. M2 represents the CLH Motor task.
- Task repetition number: Ordinal number of the task repetition. Tasks are presented randomly up to 5 times per run. e.g. S24R1I6_5 is from subject 24, repetition 1, DRF Imagery task. Finally, the number five at the end represents the fifth task repetition in the record.

Additionally, this dataset includes the file "Test_Subject_Annotations.csv", with the demographic information of each of the 60 volunteers, respecting the confidentiality of each individual.
DOI: 10.26180/26868943.v1
title: CURL NOISE 90000 DATASET

description: This the dataset used in the paper - From Simple to Complex: Extending the Generative Capabilities of Attribute-Based Latent Space Regularization through AR-VAE-Diffusion. It was generated using the CURL NOISE system made by Jon McCormack. This dataset can be used to test the performance of control mechanisms in deep generative models that generate abstract imagery.
DOI: 10.6084/m9.figshare.20004335.v3
title: Water availability creates global thresholds in multidimensional soil biodiversity and functions

description: Global field survey to investigate the environmental thresholds of soil biodiversity (bacteria, fungi, protists and invertebrates) and functions (water regulation, plant productivity, nutrient cycling, organic matter decomposition, and plant-microbe interactions).
DOI: 10.6084/m9.figshare.26087854.v1
title: HiGTS_2009s2

description: HiGTS is a high temporal resolution global gridded dataset of human thermal stress metrics. Derived using climate variables from ERA5-Land and ERA5, the HiGTS consists of hourly gridded maps of Universal Thermal Climate Index (UTCI), Universal Thermal Stress (UTS), and daily Thermal Stress Duration (TSD) at 0.1° × 0.1° spatial resolution over the global land surface.HiGTS_2009s2 contains the data from April 1, 2009 to June 30, 2009.
DOI: 10.6084/m9.figshare.27222447.v1
title: raw data.zip

description: Some raw data for <i>Flow cytometry</i> and <i>Western blotting</i>.
DOI: 10.17632/2rnjgscmv7
title: Radish (Raphanus sativus L.) response to application of blended NPS fertilizer rate and plant spacing

description: The data was generated to investigate the growth and yield performance of radish crop to NPS fertilizer application and inter spacing in Horro-district, western Ethiopia. The treatments consisted of five blended NPS fertilizer rates (0, 50,100, 150, and 200 kg ha-1) and three inter spacing (20, 30, and 40 cm) which was arranged in factorial RCB design with three replications. The radish locally named Figl seed was used as experimental material.
DOI: 10.17632/fb4khrxvry
title: Impact of US-China Trade War on Graduate School Selection Survey Results

description: The research suggests that Chinese students' motivations for attending graduate school in this US are not strongly influenced by the US-China trade war. Survey was taken by Chinese undergraduate and recently graduated students from universities in Henan, China. Survey was voluntary and could be taken in Chinese or English based on the respondent's choice. After the initial demographic questions and interest in studying abroad, students were asked to select their value on a five-point scale of 1- extremely important, 2- very important, 3- moderately important, 4- somewhat important, 5- not important at all.
DOI: 10.17632/y7s8hf6msw
title: Ma et al, PNAS 2024 "Deficiency of factor-inhibiting HIF creates a tumor-promoting immune microenvironment" Main Figures

description: Please find the raw data for figures 1-7 of the publication 'Deficiency of factor-inhibiting HIF creates a tumor-promoting immune microenvironment' - PNAS 2024.
DOI: 10.6084/m9.figshare.24814293.v2
title: CIrrMap250: Annual maps of China’s irrigated cropland from 2000 to 2020

description: The annual maps of China’s irrigated cropland from 2000 to 2020 were created by by integrating remotely sensed data (i.e., vegetation indices, hybrid cropland products, and paddy field maps), irrigation statistics and surveys, and an irrigation suitability map. The newly developed maps (CIrrMap250) feature a spatial resolution of 250 meters at an annual frequency from 2000 to 2020. Data usage: All maps are presented in the GeoTIFF format, with the geographic coordinate of WGS84. Pixel size is 0.00225 × 0.00225 degree (~250 m ×250 m at Equator). The maps show the percentage of each 250 m pixel that is covered by irrigated cropland (i.e., pixel value = irrigated area / pixel area ×100).Any questions please feel free to contact: zhanglingky@lzb.ac.cn
DOI: 10.6084/m9.figshare.28869419.v1
title: Land use change drives decadal-scale persistence of sediment organic carbon storage of restored mangrove

description: Sediment organic carbon and associated sediment characteristics and stable isotopes.
DOI: 10.6084/m9.figshare.28912466.v1
title: Images of disk diffusion assays

description: DDA assay images of 386 <i>C. parapsilosis</i> strains in triplicate at both 24 h and 48 h. <i>C. albicans</i> SC5314 is also include.
DOI: 10.6084/m9.figshare.693052.v3
title: Corpasome

description: The Corpasome data Variant Call Format file for Corpas Family Quartet. Analysed by InSilicoDB. Searchable under the word 'Corpasome'. Here is the correspondence of IDs/family member ISDBM322015: Son ISDBM322016: Father ISDBM322017: Daughter ISDBM322018: Mother
DOI: 10.17632/d3wt5ynm7n
title: DT4PEIS: Detection Transformers for Parasitic Egg Instance Segmentation

description: Supplementary Materials for "DT4PEIS: Detection Transformers for Parasitic Egg Instance Segmentation".

This dataset is an extension of the publicly available dataset "Parasitic Egg Detection and Classification in Microscopic Images" (Chula-ParasiteEgg-11, with DOI: 10.21227/vyh8-4h71), now including binary segmentation masks for the images. The segmentation was performed automatically using the Segment Anything Model (SAM).
DOI: 10.6084/m9.figshare.1601968.v5
title: Anvi'o pangenomic workflow

description: While multiple bioinformatics software are already available to generate and/or visualize pangenomes, interfaces do not necessary offer flexible analysis performances, limiting the user's capabilities interacting with their data. We recently have introduced a software platform, anvi'o, to bridge some of the gaps in our common bioinformatics toolkit. We are happy to announce that anvi'o can now process, visualize and manipulate pangenomic data in a user-friendly environment. Some modules are still under construction for a fully automatized workflow. Nevertheless, the current anvi'o interface already offers novel opportunities to combine pangenomes with a variety of contextual metadata and exports high-quality figures for publications. This blog describes original pangenomic investigations of publically available genomic collections. It is set to introduce the anvi'o pangenomic workflow to our enthusiastic users community.
DOI: 10.6084/m9.figshare.25511770.v3
title: Datasets

description: WinnowNet is a deep learning architecture for rescoring PSM candidates from multiple search engines for metaproteomics.
DOI: 10.6084/m9.figshare.27148386.v1
title: Quantum machine learning for digital health: a systematic review (dataset)

description: This repository contains supporting data and code for the systematic review "Quantum machine learning for digital health?" registered in PROSPERO with ID: CRD42024562024. We include a Covidence-generated data extraction CSV file and a python-based Jupyter notebook to support data analysis and figure generation in our manuscript.
DOI: 10.6084/m9.figshare.28927328.v1
title: <b>Analysis of different techniques for injection of the interspinal space in horses</b>

description: <b>Analysis of different techniques for injection of the interspinal space in horses</b>
DOI: 10.6084/m9.figshare.29163506.v1
title: raw data.zip

description: Raw data for 10.1038/s41598-025-96683-3 "<i>Multi-omics analysis constructs a novel neuroendocrine prostate cancer classifier and classification system</i>"
DOI: 10.6084/m9.figshare.12021156.v12
title: rdf2pg experimental datasets

description: RDF Datasets used in the rdf2pg paper, and the corresponding YARS-PG files.
DOI: 10.6084/m9.figshare.24517459.v1
title: Rainfall erosivity from EMO-5

description: The accompanying files for the github repository:https://github.com/matfran/Rainfall-erosivity-from-EU-grids.gitContains:1) The shapefiles containing spatially distributed parameters to predict rainfall erosivity from rainfall depth across Europe. 2) Sample time series predictions from EMO-5 from which rainfall erosivity can be calculated<br>
DOI: 10.17632/6r8j8jfv35
title: Cuestionario Conocimientos Combatir Violencia Genero Adolescentes

description: The anonymous questionnaire has: 10 specific knowledge items with four response options, two questions on attitudes towards male violence with Likert scale response of agreement, and questions referring to socio-demographic characteristics, partner relationships and an open question on the opinion of the questionnaire itself. 
The answers to the questionnaire are in Spanish.
DOI: 10.6084/m9.figshare.12161805.v1
title: Brambach genera origins

description: Origins of tree genera from Brambach et al. 2020 J. Biogeogr.
DOI: 10.6084/m9.figshare.20058977.v1
title: Data Supporting Delayed Fluorescence from Inverted Singlet and Triplet Excited States.xlsx

description: Data Supporting: Delayed Fluorescence from Inverted Singlet and Triplet Excited States
DOI: 10.6084/m9.figshare.7330313.v1
title: Human Convalescent Serum Sample after DENV2 seroconversion.

description: Human Convalescent Serum Sample collected after DENV2 seroconversion.
DOI: 10.6084/m9.figshare.26199719.v2
title: Supplementary Material for: A de novo PRPF8 pathogenic variant in transient severe hypophosphatemia with delayed puberty and growth failure

description: Introduction: Childhood hypophosphatemia is a rare condition and may be caused by malabsorption, malignancies, or genetic factors. Prolonged hypophosphatemia leads to impaired growth and radiographic signs of rickets. 
Methods: We performed a detailed clinical and genetic evaluation of an adolescent boy with repeatedly low plasma phosphate concentrations (below 0.60 mmol/L), and growth failure.
Results: At 14 years, the patient presented with decelerating growth and delayed puberty. Biochemistry showed hypophosphatemia due to increased urinary phosphate loss; kidney function and vitamin D status were normal. Radiographs showed mild metaphyseal changes. A gene panel for known genetic hypophosphatemias was negative. Trio exome analysis followed by Sanger sequencing identified a pathogenic heterozygous de novo stop gain variant in PRPF8 gene, c.5548C&gt;T p.(Arg1850*)., in the conserved RNase H homology domain. PRPF8 encodes the pre-RNA protein 8, which has a role in RNA processing. Heterozygous PRPF8 variants have been associated with retinitis pigmentosa and neurodevelopmental disorders but not with phosphate metabolism. The patient underwent growth hormone (GH) stimulation tests which confirmed GH deficiency. Head MRI indicated partially empty sella. GH treatment was started at 15 years. Surprisingly, phosphate metabolism normalized during GH treatment, suggesting that hypophosphatemia was at least partly secondary to growth hormone deficiency.
Conclusion: In conclusion, the evaluation of an adolescent with profound long-term hypophosphatemia revealed a pituitary developmental defect associated with a stop gain variant in PRPF8. Hypophosphatemia alleviated with GH treatment. The pathological PRPF8 variant may contribute to abnormal pituitary development; however, its role in phosphate metabolism remains uncertain.
DOI: 10.6084/m9.figshare.28510994.v1
title: <b>Hypoxic Preconditioning</b><b> Modulates BDNF Signaling to Alleviate Depression-like Behaviors</b> <b>in Mice </b><b>and Its Whole Transcriptome Sequencing Analysis</b>

description: Depression, a neurological disorder triggered by stressful stimuli such as hypoxia, is associated with high morbidity and mortality. Hypoxic preconditioning (HPC) is an endogenous mechanism that has been used in recent research to upregulate BDNF, a marker of depression, to elicit neuroprotective effects. However, the mechanisms by which HPC protects against depression remain poorly understood. Therefore, this study aimed to investigate the effects of HPC on depressive behaviors via BDNF signaling. Initially, ICR mice were subjected to HPC, followed by the establishment of a 24-hour restraint stress model to mimic depressive behaviors. Subsequent analysis focused on changes in depressive behaviors, biochemical markers, and the levels of BDNF and its ability to modulate synaptic structure and neurogenesis. Furthermore, whole transcriptome sequencing was conducted. The results indicated that HPC relieved characteristic depressive behaviors in restraint stress model mice, regulated neurotransmitter levels, elevated antioxidant capacity, and promoted BDNF signaling in the hippocampus. PSD-95 expression, the number and complexity of neuronal dendritic spines, and hippocampal neurogenesis in model mice were increased via HPC. Restraint stress regulated 373 DElncRNAs, 166 DEcircRNAs, 29 DEmiRNAs and 1235 DEmRNAs, which were also modulated by HPC. The ceRNA networks were constructed on the basis of these DERNAs. Functional enrichment analysis revealed that these genes are related to synapses, neurogenesis and neurotrophin signaling. These results suggested that HPC upregulated BDNF and activated BDNF/PLCγ/CREB signaling to alleviate synaptic deficits and promote hippocampal neurogenesis, ultimately ameliorating depressive behaviors in mice. The identification of various mRNAs and ncRNAs and their constituent ceRNAs provides theoretical guidance for the clinical treatment of depression with HPC.<br>
DOI: 10.17632/8w2k5wzf7c
title: Data for: Novel aerobic granular sludge culture strategy using granular sludge Anammox process effluent as a biocatalyst-a lab scale study

description: The data includes raw files for plotting and methods for analyzing the data, as well as high-throughput reports.
DOI: 10.17632/9shcdb8ry7
title: Personalización de Tablas y figuras  para RSL sobre responsabilidad social empresarial en la minería

description: Datos de resultados de personalización de tablas y figuras para el mapeo del estado del arte de los mecanismos de responsabilidad social empresarial en la industria minera
DOI: 10.17632/ykk5xp94vr
title: Database of amphibian occurrence in the Amazon

description: Primary biodiversity data are essential for understanding spatial and temporal patterns of biodiversity. Here we provide an extensive database obtained from four distinct sources: online platforms, peer-reviewed publications, non-peer-reviewed academic publications (grey literature) and personal collections deposited in specialized scientific collections. Thus, the database consists of 213,072 georeferenced occurrence records for 951 amphibian species distributed in 24,319 sampling points in the Amazon. This robust database contributed to the understanding of amphibian sampling distribution patterns in the Amazon, highlighting sampling gaps and biases in large-scale amphibian sampling patterns, supporting conservation actions and will be freely accessible for future spatial and temporal analyses that bring understanding of ecological patterns and functions of this important taxonomic group that are amphibians.