cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.1510991.v1
title: StarPlus fMRI data

description: This data was originally collected by Marcel Just and his colleagues in Carnegie Mellon University's CCBI. The Experiment Timing: The experiment consists of a set of trials, and the data is partitioned into trials. For some of these intervals, the subject simply rested, or gazed at a fixation point on the screen. For other trials, the subject was shown a picture and a sentence, and instructed to press a button to indicate whether the sentence correctly described the picture. For these trials, the sentence and picture were presented in sequence, with the picture presented first on half of the trials, and the sentence presented first on the other half of the trials. Forty such trials are available for each subject. The timing within each such trial is as follows: The first stimulus (sentence or picture) was presented at the begining of the trail (image=1).Four seconds later (image=9) the stimulus was removed, replaced by a blank screen.Four seconds later (image=17) the second stimulus was presented. This remained on the screen for four seconds, or until the subject pressed the mouse button, whichever came first.A rest period of 15 seconds (30 images) was added after the second stimulus was removed from the screen. Thus, each trial lasted a total of approximately 27 seconds (approximately 54 images). Imaging parameters: Images were collected every 500msec. Only a fraction of the brain of each subject was imaged. The data is marked up with 25-30 anatomically defined regions (called "Regions of Interest", or ROIs).Stimulus and behavioral data: A variety of information is available for all three data sets, including the exact sentences and pictures presented, and the subject response times. The Data: The data consists of .mat files that can be directly loaded into Matlab version 7.
DOI: 10.6084/m9.figshare.28645751.v2
title: <b>Experiments on Initial Wavenumber-1 Asymmetries in Tropical Cyclones</b>

description: The project involves the dataset and code of each figure in our paper.
DOI: 10.6084/m9.figshare.24582537.v1
title: <b>Augmenting Insect Olfaction Performance through Nano-Neuromodulation</b>

description: Biological olfactory systems are highly sensitive and selective, often outperforming engineered chemical sensors in highly complex and dynamic environments. As a result, there is much interest in using biological systems to build sensors. However, approaches to read-out information from biological systems, especially neural signals, tends to be sub-optimal due to the number of electrodes that can be used and where they can be placed. Here, we aim to overcome this sub-optimality in neural information read out, using a nano-enabled neuromodulation strategy to augment insect olfaction-based chemical sensors. By harnessing the photothermal properties of nanostructures and releasing a select neuromodulator on-demand, we show that the odour-evoked response from the interrogated regions of the insect olfactory system can not only be enhanced but can also improve odour identification.
DOI: 10.6084/m9.figshare.21652931.v2
title: Cropland intensification mediates the radiative balance of greenhouse gas emissions and soil carbon sequestration in maize systems of sub-Saharan Africa

description: The depository provides data that supports the findings of the above titled manuscript. These data include field monitoring of soil-climatic factors, field measurements of greenhouse gas (CO2, CH4, and N2O) flux conducted in maize systems of east African highlands using the static chamber method, and the simulated output of cumulative SOC change under different cropland intensification practices. A list of reference is also included for the synthesis of changes in soil carbon stocks under investigated intensification practices. For details, please refer to the companion paper, which will be linked following manuscript publication. <br> # update: the manuscript has been released online: https://doi.org/10.1111/gcb.16550
DOI: 10.6084/m9.figshare.23816559.v1
title: Data di-ester

description: GA/PEG composites, which combine the activities of gallic acid and polyethylene glycol « di-gallate of polyethylene glycol », through a rather simple and green esterification process and with progressed properties
DOI: 10.6084/m9.figshare.21657677.v2
title: Supplimentary data for Triplophysa wudangensis and Triplophysa qingzhenensis

description: Two hypogean species of <em>Triplophysa</em> from the River Yangtze drainage, <em>T. wudangensis and T. qingzhenensis </em>were described in Journal of vertebrate biology. This is the supplimentary data for the two species.
DOI: 10.6084/m9.figshare.23501547.v1
title: Branching_angle_hexagon_ETP

description: Shape files of hexagons analyzed on the eastern Tibetan Plateau, including ID of each hexagon (GRID_ID), mean aridity index (AI), mean branching angles (angle [°]), mean channel slope (ChnlSlope) and mean channel steepness index (MeanKSN) of each hexagon.
DOI: 10.6084/m9.figshare.28312754.v1
title: Free volatile aroma compounds in Corvina wine from Harvests of 2022

description: Results are reported in µg/L only those marked with * are reported as ng/L. Results from three replicates.
DOI: 10.6084/m9.figshare.13653257.v1
title: Source Data 2

description: <b>Source Data 2. </b>The combined dependency scores for 15,847 protein-coding genes in 423 cell lines for six theta (fraction CRISPR)
DOI: 10.6084/m9.figshare.24495376.v1
title: Supplementary Material for: Monogenic Causes Identified in 23.68% of Children with Steroid Resistant Nephrotic Syndrome: A Single-Centre Study

description: Introduction: Steroid resistant nephrotic syndrome (SRNS) is the second most common cause of end-stage kidney disease in children, mostly associated with focal segmental glomerulosclerosis (FSGS). Advances in genomic science have enabled the identification of causative variants in 20 – 30% of SRNS patients. Methods: We used whole exome sequencing (WES) to explore the genetic causes of SRNS in children. Totally 101 patients with SRNS, and 13 patients with nephrotic proteinuria and FSGS were retrospectively enrolled in our hospital between 2018 and 2022. For the known monogenic causes analysis, we generated a known SRNS gene list of 71 genes through reviewing the OMIM database and literature. Results: Causative variants were identified in 23.68% of our cohort, and the most frequently mutated genes in our cohort were WT1 (7/27), NPHS1 (3/27), ADCK4(3/27), and ANLN (2/27). Five patients carried variants in phenocopy genes, including MYH9, MAFB, TTC21B, AGRN, and FAT4. The variant detection rate was the highest in the two subtype groups with congenital nephrotic syndrome and syndromic SRNS. In total, 68.75% of variants we identified were novel, and have not been previously reported in literature. Conclusion: Comprehensive genetic analysis is key to realizing the clinical benefits of a genetic diagnosis. We suggest that all children with SRNS undergo genetic testing, especially those with early onset and extrarenal phenotypes.
DOI: 10.6084/m9.figshare.28636655.v1
title: <b>DNMT3A facilitates breast cancer progression via regulating ADAMTS8 mediated EGFR-MEK-ERK activation</b>

description: ADAMTS8 inactivation by epigenetic modifications has been reported in various tumors, and the dysregulation of ADAMTS8 expression is associated with poor clinical outcomes, cancer cell invasion, and metastasis. De novo methylation, involving DNMT3A, plays an important role in cancer development; however, it remains unclear whether DNMT3A regulates the progressive expression of breast cancer by regulating ADAMTS8. Through published cancer-related datasets and clinical validation, we found that ADAMTS8 and DNMT3A expression negatively correlated in breast cancer, and both associated with patient prognosis. Related cell experiments have shown that DNMT3A overexpression promotes breast cancer cell proliferation, migration, invasion, and apoptosis, whereas silencing DNMT3A has the opposite effect. Through Co-IP experiments, we confirmed that DNMT3A binds directly to ADAMTS8. Methylation-specific PCR (MSP) experiments confirmed that DNMT3A mediates ADAMTS8 promoter methylation in breast cancer. In addition, DNMT3A activated the EGFR-MEK-ERK signaling pathway by effectively downregulating ADAMTS8, whereas silencing ADAMTS8 effectively inhibited this signaling pathway. Taken together, our findings suggest that DNMT3A activates the EGFR-MEK-ERK signaling pathway by silencing ADAMTS8 transcription through methylation, thereby promoting breast cancer development. Therefore, DNMT3A may serve as an inhibitory target in breast cancer-targeted therapy.
DOI: 10.6084/m9.figshare.28466636.v1
title: SoyCotton-Leafs

description: <b>Overview</b><br>This repository provides a curated image dataset designed for leaf-level detection and segmentation of soybean (<i>Glycine max</i>) and cotton (<i>Gossypium hirsutum</i>) plants under real-world field conditions. Each image is annotated with both bounding boxes and instance segmentation masks, enabling a broad range of computer vision tasks including volunteer plant detection, weed discrimination, and early disease surveillance in precision agriculture.<b>Key Features</b><b>Real Field Images</b>: All 640 images were captured in a commercial farm setting in São Paulo, Brazil, across diverse growth stages and lighting conditions.<b>Dual Annotations</b>: Both <b>bounding boxes</b> (for object detection) and <b>instance-level masks</b> (for pixel-level segmentation) are provided.<b>Multiple Growth Stages</b>: Includes early, mid, and dense canopy phases, ensuring robustness to occlusions and overlapping foliage.<b>High-Quality Labels</b>: Rigorous annotation process with human experts and post-processing (e.g., connected component analysis) to remove extraneous “pixel blobs.”<b>Soybean & Cotton Leaves</b>: Over 12,000 annotated leaves in total—7,221 soybean leaves and 5,190 cotton leaves—enabling comparative studies between the two crops and detection of volunteer plants.<b>Various Use Cases</b>: Ideal for tasks such as selective herbicide application, volunteer crop monitoring, phenotyping, and canopy analysis.<b>Data Structure</b><b>Images</b>: 640 high-resolution RGB images (1600×1200 pixels), split into training, validation, and test subsets, with additional incremental splits for ablation studies (optional).<b>Annotations</b>:Bounding box coordinates in COCO-like JSON files.Instance segmentation masks (either as polygons or bitmasks, depending on the provided format) for each labeled leaf.<b>Metadata</b>: Includes brief details on capture date, environmental conditions, and growth stage (early, mid, or dense canopy).<b>Suggested Applications</b><b>Leaf-Level Detection</b>: Train and evaluate object detectors (e.g., YOLO series, Faster R-CNN) to localize individual cotton or soybean leaves.<b>Semantic/Instance Segmentation</b>: Deploy segmentation models (e.g., Mask R-CNN, DeepLab) to precisely delineate leaf boundaries.<b>Precision Agriculture Analytics</b>: Use detections to quantify volunteer plants, gauge canopy overlap, or assess leaf area index over time.<b>Weed Management</b>: Extend to weed–crop discrimination, particularly useful in rotational systems where volunteer plants often emerge in subsequent seasons.<br>
DOI: 10.6084/m9.figshare.23826378.v1
title: Data for ONTbarcoder 2.0: Rapid species discovery and identification with real-time barcoding facilitated by Oxford Nanopore R10.4

description: Nanopore raw data relating to the study "Rapid species discovery and identification with real-time barcoding facilitated by ONTbarcoder 2.0 and Oxford Nanopore R10.4"
DOI: 10.6084/m9.figshare.28279850.v1
title: MapColorAI Assessment Questionnaire.docx

description: Choropleth maps are fundamental tools for geographic data analysis, primarily relying on color to convey information. Consequently, the design of their color schemes is of paramount importance in choropleth map production. The traditional coloring methods offered by GIS tools such as ArcGIS and QGIS are not user-friendly for non-professionals. These tools provide numerous color schemes, making selection difficult, and cannot also easily fulfill personalized coloring needs, such as requests for 'summer-like' map colors. To address these shortcomings, we develop a novel system that leverages a large language model and map color design principles to generate contextually relevant and user-aligned choropleth map color schemes. The system follows a three-stage process: Data processing, which provides an overview and classification of the data; Color Concept Design, where color theme and mode are conceptualized based on data characteristics and user intentions; and Color Scheme Design, where specific colors are assigned to classes. Our system incorporates an interactive interface for choropleth map color design and allows users to customize color choices flexibly. Through user studies and evaluations, the system demonstrates acceptable usability, accuracy, and flexibility, with users highlighting its efficiency and ease of use.
DOI: 10.6084/m9.figshare.3486719.v1
title: Aerosol Mass Spectrometry (AMS) Global Database

description: This database is a repository of submicron non-refractory (NR-PM1) ambient aerosol composition data collected with the Aerodyne Aerosol Mass Spectrometers (AMS) and Aerodyne Aerosol Chemical Speciation Monitors (ACSM) at locations around the world. These data are useful to evaluate aerosol models, compare concentrations and other properties across locations, and other applications.
DOI: 10.6084/m9.figshare.27274665.v1
title: <b>Investigating the </b><b>g</b><b>ut </b><b>bacteria </b><b>s</b><b>tructure and </b><b>m</b><b>etabolism of </b><b>h</b><b>ibernating </b><b>b</b><b>ats through 16S rRNA </b><b>h</b><b>igh-</b><b>t</b><b>hroughput </b><b>s</b><b>equencing and </b><b>c</b><b>ulturomics</b>

description: The gut microbiota of bats is vital for their health and ecosystem roles, yet studies on hibernating bats in southwest China, particularly in the unique karst landscape of Guizhou, are limited. We captured three hibernatingbat species—Pipistrellus (PB), Hipposideros (HB), and Myotis (MB)—in Liping County, collecting rectal samples for 16S rRNA amplicon sequencing. Data processing involved Trimmomatic, Flash, and Qiime2 for OTU standardization and species annotation via the Greengenes database. Differential abundance was analyzed using LEfSe, and diversity metrics were assessed through alpha and beta diversity analyses. The HB group was predominantly composed of Proteobacteria(80.99%), while MB and PB exhibited diverse compositions with significant OTU richness (729 in MB). Notable genera included Hafniaand Yersinia in HB, and Cosenzaea myxofaciensin MB. High proportions of unclassified taxa were observed, particularly in HB (83.81%). Functional predictions indicated metabolic pathways, with a significant representation of Human Diseases in PB. Culturomics revealed the successful cultivation of Huaxiibacter chinensisand Enterobacter chengduensisfrom bats for the first time. These findings highlight the ecological complexity and diversity of hibernatingbat gut microbiota, emphasizing the need for cultivation-based approaches to explore unknown bacterial species.
DOI: 10.6084/m9.figshare.25835218.v1
title: Supplementary Material for: Gastrointestinal Symptom-Free Multiple Lymphomatous Polyposis: An Atypical Case Presentation of Mantle Cell Lymphoma

description: Introduction: Mantle cell lymphoma (MCL), a rare Non-Hodgkin's Lymphoma, exhibits a genetic translocation causing CCND1 gene overexpression, affecting 5% of NHL cases, predominantly in males aged 60-70. Typically diagnosed with advanced symptoms, MCL involves widespread disease and organ spread, being aggressive and incurable with a 1.8 to 9.4-year average survival. Optimal treatment depends on disease aggressiveness and age. Multiple lymphomatous polyposis (MLP), a rare MCL subtype in the GI tract, usually presents with GI symptoms. Case Presentation: A 71-year-old woman diagnosed with asymptomatic MLP during MCL staging who underwent thoracentesis and was treated with a chemotherapy regimen of Rituximab/Cytarabine (r-AraC) and later transitioned to Bendamustine/Rituximab. This patient eventually underwent a bone marrow biopsy and later a bone marrow transplant. Conclusion: We present a unique case of asymptomatic MLP, emphasizing the importance of early detection for the poor prognosis of MLP with a mean survival of less than 3 years.
DOI: 10.4121/uuid:759eecb0-37f5-489d-92c1-f0cf89fca70e
title: Distribution of Magnolia officinalis

description: The recorded information includes species name, longitude and latitude. This dataset could be used as base data for the conservation of Magnolia officinalis.
DOI: 10.6084/m9.figshare.19747600.v1
title: Swamp_Rabbit_MaxEnt

description: Input files for MaxEnt analysis of Swamp Rabbit distribution in the Great Trinity Forest
DOI: 10.6084/m9.figshare.14482956.v1
title: Paramacrobiotus_richtersi_ITA_denovo_transcriptome.fa

description: <i>De novo</i> transcriptome assembly of <i>Paramacrobiotus richtersi</i> ITA. The short reads deposited in NCBI SRA SRR5217911 and SRR5217912 were used.
DOI: 10.6084/m9.figshare.21694841.v1
title: Supplementary Material for: Hemodialysis effects on autonomic function: results of linear and non-linear analysis of heart-rate-variability at rest and in response to physical and mental stress tests

description: Introduction: Cardiac arrhythmias are the most common cause of death in hemodialysis. Autonomic dysfunction plays a central role in this arrhythmogenic background. Previous studies on hemodialysis-related changes in heart-rate-variability(HRV) give contradictory results. This study investigated HRV indices both at rest and in response to physical and mental stimulation maneuvers at multiple time-points around and during the hemodialysis procedure. Methods: Autonomic function was assessed by linear and non-linear HRV indices at pre-dialysis, during-dialysis(3 equal time-periods), post-dialysis, and on the non-dialysis day in 36 hemodialysis patients. Continuous measurement of beat-by-beat heart-rate was recorded with Finometer-PRO(The Netherlands) at rest and after orthostatic, sit-to-stand, handgrip and mental-arithmetic test. Results: The RMSSD, SD1, and SD2 indices significantly increased during dialysis(early-HD, mid-HD, late-HD periods) compared with the pre-dialysis levels(p&lt;0.05) and returned to baseline post-dialysis(RMSSD: 54.39±83.73 vs 137.98±109.53* vs 119.85±97.34* vs 144.47±88.74* vs 85.82±121.43msec, *p&lt;0.05 vs pre-dialysis and post-dialysis). No differences were detected in the above indices between the pre-dialysis and non-dialysis day. However, post-dialysis, the HRV responses to orthostatic and sit-to-stand tests were more exaggerated than in the pre-dialysis measurements (p&lt;0.05). The HRV responses both at resting and physical tests in the non-dialysis day were similar to the pre-dialysis levels. HRV indices in mental-arithmetic test during hemodialysis were much higher than at the non-dialysis day(RMSSD: 77.05 [180.41] vs 19.75 [105.47]msec; p=0.031) were detected. Conclusions: Hemodialysis causes marked changes in autonomic function. Resting HRV indices return to baseline post-dialysis, but HRV responses to physical stress remain exaggerated and return to baseline on the non-dialysis day. Detecting patients with significant autonomic dysfunction may help towards reduction of arrhythmia risk through individualized approaches.
DOI: 10.6084/m9.figshare.22491625.v1
title: Data and scripts for PCA analysis of BIOLOG Ecoplate data from soil samples taken at mixed gull colony

description: Raw data and scripts needed to reproduce the principal component analysis and calculate diversity counts as described in the method section and supplementary files (S2.8 and S3) of my thesis "Inter-species, spatial, and temporal variability in soil properties of a colony of lesser black-backed and European herring gulls on Texel island". Raw data consists of read-outs of BIOLOG<sup>TM</sup>Ecoplates using the SPECTROstar Nano microplate reader. The measuring protocol information from the SPECTROstar Nano microplate reader is also made available. <br> First run dbEcoplates.R to construct a usable dataframe with organised data, in order to calculate the diversity count and conduct a PCA analysis with the script PCAEcoplates.R. <br> For a detailed description of the sampling strategy, see my thesis. Here, a short description follows, describing the numeric values for some categories that were used in the building of the ecoplates database. Sampling took place in June (month 1), August (month 2) and October (month 4), there was ecoplate analysis performed on samples from September (month 3). Nest types were limited to active nest sites of lesser black-backed gulls, (1) and European herring gulls (2), club sites of lesser black-backed gulls (3) and European herring gulls (4), control sites (5) and old nest sites (6), Locations are active nest sites (1), club sites (2), control sites (3) and old nest sites (4) Species are limited to lesser black-backed gulls (1), european herring gulls (2) and control sites, which contained no species (3) <br> Abbreviations for axes and titles are constructed as follows: "L" in front of AN, CLS, or ON, or "LBBG" on its' own pertains to a site that belongs to the lesser black-backed gull "E" in front of AN, CLS or ON, or "EHG" on its' own pertains to a site that belongs to the European herring gull "AN" is an active nest site "CLS" is a club site "ON" is an old nest site "COS" is a control site
DOI: 10.6084/m9.figshare.834937.v1
title: microsporidian protein families

description: The file mcl_clusters_with_microsporidia.txt contains a list of microsporidian protein families. The data is part of the publication entitled: Reduction and expansion in microsporidian genome evolution: new insights from comparative genomics<br>Sirintra Nakjang, Tom A. Williams, Eva Heinz, Andrew K. Watson, Peter G. Foster, Kacper M. Sendra, Sarah E. Heaps, Robert P. Hirt, T. Martin Embley<br>(2013) Genome Biol Evol The data file is tab-delimited. Each line represents a cluster of homologous proteins, where the first column denotes family names. Protein members in each family are listed from the second columns onward. An ID for each protein sequence member begins with 4 letters denoting the species coding that sequence, followed by a sequence identifier from relevant database. For example,<br>encu_19074370_ref_NP_585876_1_ The first 4 letters denote an abbreviation of species encoding that sequence. In this case 'encu' denotes E. cuniculi. A full list of species abbreviations can be found below.<br>19074370 is the sequence NCBI GI number.<br>NP_585876 is the sequence RefSeq accession number.
DOI: 10.6084/m9.figshare.23807004.v1
title: 上传原始数据至存储库流程.docx

description: 高放废物