cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.12831926.v1
title: Genomic insights into the sessile life and biofouling of barnacles (Crustacea: Cirripedia)

description: Members of the infraclass Cirripedia, commonly called barnacles, are unique among the subphylum Crustacea in that they exhibit a biphasic life cycle with a planktonic larval stage and a sessile adult stage. Understanding their unique sessile life and mechanisms of attachment are hampered by the lack of genomic resources. Here, we present a 746 Mb genome assembly of <i>Lepas anserifera</i> – the first sequenced stalked barnacle genome. We estimate that Cirripedia first arose ~495 million years ago (MYA) and further diversified since Mesozoic. A demographic analysis revealed remarkable population changes of the barnacle in relation to sea-level fluctuations in the last 2 MYA. Comparative genomic analyses revealed the expansion of a number of developmental related genes families in barnacle genomes, such as Br-C, PCP20 and Lola, which are potentially important for the evolution of metamorphosis, cuticle development and central nervous system. Phylogenetic analysis and tissue expression profiling showed the possible roles of gene duplication, functional diversification and co-option in shaping the genomic evolution of barnacles. Overall, our study provides not only a valuable draft genome for comparative genomic analysis of crustacean evolution, but also facilitates studies of biofouling control.<br>Draft genome assembly and annotation of the stalked barnacle Lepas anserifera:<br>Genome sequences - Lepas_v1.0_gna.fasta.gzGenome annotation - Lepas_v1.0.gff.zipPredicted transcript sequences - Lepas_v1.0.transcrtip.fasta.zipPredicted protein sequences - Lepas_v1.0.proteins.fasta.zip
DOI: 10.6084/m9.figshare.12912080.v1
title: chemblDB3.sqlitdb

description: Matched molecular pair transformations from ChEMBL database
DOI: 10.15468/dl.f6e6er
title: Occurrence Download

description: A dataset containing 623 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Polygala alba Nutt.",
 "Year is less than or equal to 2000",
 "Year is greater than or equal to 1970",
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 1000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 623 records from 75 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013284-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/fs8yhz3v2f
title: The Magnitude of Increased US Melanoma Incidence Attributable to Ground-Level Ultraviolet Radiation Intensity Trends: Supplemental Data

description: The potential amount of UV radiation received by the average American in the continental US has increased. Our regression model suggests that up to 30% of increases in NHW-MI could be directly or indirectly explained by increasing ground-level UV intensity. Furthermore, this relationship is supported by a significantly disproportionate representation of states in the highest quartile of NHW-MI rate increases located in US Census regions with the highest increases in UVI. Our findings suggest rising ground-level UV intensity may have played a role in increasing NHW-MI.
DOI: 10.6084/m9.figshare.28789151.v1
title: Genome annotation (repeats and protein-coding genes)

description: Genome annotation data, including repetitive elements, gene structure predictions, and functional annotations
DOI: 10.6084/m9.figshare.7712570.v1
title: Supplementary Material for: Kinetics of Hepatic Volume Evolution and Architectural Changes after Major Resection in a Porcine Model

description: <b><i>Background:</i></b> The hepatic volume gain following resection is essential for clinical recovery. Previous studies have focused on cellular regeneration. This study aims to explore the rate of hepatic regeneration of the porcine liver following major resection, highlighting estimates of the early microarchitectural changes that occur during the cellular regeneration. <b><i>Methods:</i></b> Nineteen large white pigs had 75% resection with serial measurements of the hepatic volume, density, blood flow, and architectural changes. <b><i>Results:</i></b> The growth rate initially was 45% per day, then rapidly decreased and was accompanied by a similar pattern of hepatic fat deposition. The architectural changes showed a significant increase in the Ki67 expression (<i>p</i> &lt; 0.0001) in the days following resection with a peak on the 2nd day and nearly normalized on day 7. The expression of CD31 increased significantly on the 2nd and 3rd days compared to the pre-resection samples (<i>p</i> = 0.03). Hepatic artery flow per liver volume remained at baseline ranges during regeneration. Portal flow per liver volume increased after liver resection (<i>p</i> &lt; 0.001), was still elevated on the 1st postoperative day, then decreased. Correlations were significantly negative between the hepatic volume increase on day 3 and the hepatic oxygen consumption and the net lactate production at the end of the procedure (<i>r</i> = –0.82, <i>p</i> = 0.01, and <i>r</i> = –0.70, <i>p</i> = 0.03). <b><i>Conclusion:</i></b> The volume increase in the first days – a fast process – is not explained by cellular proliferation alone. The liver/body weight ratio is back to 50% of the preoperative value after 3 days to close to 100% volume regain on days 10–15.
DOI: 10.17632/n8cs4ns97p
title: Vineyard dataset for pruning

description: This dataset contains vineyard images collected from 2021 to 2022. Labels were created for each image to indicate vine trunk, unpruned shoots, and pruned shoots. Thus, offering a comprehensive overview of the components of the vine.
• The data collected include photos of vineyards at different periods to provide an overview that includes the main vegetative states of the vine. 
• The data can be used by researchers for computer vision projects, to build automatic pruning systems or other projects related to maintaining life. To date, no similar datasets are available, so this provides an important starting point in this area.
DOI: 10.6084/m9.figshare.13077920.v1
title: Sayaman et al., TCGA Germline-Immune GWAS Summary Statistics

description: TCGA Germline Immune Response GWAS Summary Statistics (plink) for the 33 Heritable Immune Traits<br>Please cite Sayaman, Saad et al., Immunity 2021 when using the TCGA germline immune GWAS summary statistics.<br>FULL CITATIONSayaman, Saad, et al., Germline genetic contribution to the immune landscape of cancer, Immunity (2021), https://doi.org/10.1016/j.immuni.2021.01.011<br><br>LEAD CONTACT Rosalyn W. Sayaman, rwsayaman@gmail.com<br>CORRESPONDING AUTHORSRosalyn W. Sayaman, rwsayaman@gmail.comElad Ziv, elad.ziv@ucsf.eduDavide Bedognetti, dbedognetti@sidra.org<br><br>RESOURCESThe code generated during this study has been deposited to github: https://github.com/rwsayaman/TCGA_PanCancer_Immune_Genetics<br>Interactive visualization is available at CRI iAtlas: https://www.cri-iatlas.org/<br>
DOI: 10.6084/m9.figshare.21618858.v3
title: Automatically Classifying Kano Model Factors in App Reviews

description: This is the replication package that accompanies the paper <br> <strong>Automatically Classifying Kano Model Factors in App Reviews</strong> by <em>Michelle Binder, Annika Vogt, Adrian Bajraktari, and Andreas Vogelsang</em> <br> The package contains the following folders <strong>code</strong>: This folder contains Jupyter notebooks for all tested classifiers and the necessary preprocessing <strong>datasets</strong>: This folder contains the used dataset (Statik and Brunotte) including the Kano labels that we put manually. Additionally, we also provide the five downsampled datasets that we used to evaluate the classifiers. <strong>results</strong>: This folder contains a table with the collected results when the classifiers where trained on the Statik datasets and tested on the Brunotte dataset. To run the code, you need Python3 including standard libraries (`pandas`, `numpy`, `matplotlib`, `sklearn`). In addition, you need to install the 'simpletransformers` library (e.g., via `pip`)
DOI: 10.6084/m9.figshare.28600646.v1
title: dataset

description: This dataset contains a collection of software bugs identified in Embodied Artificial Intelligence Robot (EAIR) systems. The data were collected during an empirical study conducted for the ICSE 2026 submission titled "An Empirical Study on Embodied Artificial Intelligence Robot (EAIR) Software Bugs".
DOI: 10.17632/2236try7t3
title: Datasets on the Factors Influencing Social Security for Gig Workers in India

description: The gig economy has witnessed remarkable growth in India, offering workers flexibility but often lacking in traditional social security benefits. This research aims to explore the multifaceted factors influencing the social security landscape for gig workers in India. The study draws upon a wide range of data sources, including government reports, labor surveys, academic research, and surveys from non-governmental organizations.
DOI: 10.6084/m9.figshare.4652482.v1
title: homework2_data.csv

description: From https://www.census.gov/housing/nychvs/data/2014/userinfo2.html but parsed properly<br>
DOI: 10.6084/m9.figshare.5931043.v1
title: Recent Developments in Damage Identification of Structures Using Data Mining

description: Abstract Civil structures are usually prone to damage during their service life and it leads them to loss their serviceability and safety. Thus, damage assessment can guarantee the integrity of structures. As a result, a structural damage detection approach including two main components, a set of accelerometers to record the response data and a data mining (DM) procedure, is widely used to extract the information on the structural health condition. In the last decades, DM has provided numerous solutions to structural health monitoring (SHM) problems as an all-inclusive technique due to its powerful computational ability. This paper presents the first attempt to illustrate the data mining techniques (DMTs) applications in SHM through an intensive review of those articles dealing with the use of DMTs aimed for classification-, prediction- and optimization-based data mining methods. According to this categorization, applications of DMTs with respect to SHM research area are classified and it is concluded that, applications of DMTs in the SHM domain have increasingly been implemented, in the last decade and the most popular techniques in the area were artificial neural network (ANN), principal component analysis (PCA) and genetic algorithm (GA), respectively.
DOI: 10.17632/2p5vhm2w8n
title: Mislocalization

description: Dataset for reproducing the Fig.6 of paper "A circuit model for transsaccadic space updating and mislocalization"(preprint: https://www.biorxiv.org/content/10.1101/2024.10.27.620527v1).
This dataset was a reanalysis of our previously published single-unit data from the Lateral Intraparietal area (LIP) and Frontal Eye Fields (FEF) (X. Wang et al., Perisaccadic and attentional remapping of receptive fields in lateral intraparietal area and frontal eye fields. Cell Reports 43, 2024). It includes 104 LIP cells and 113 FEF cells that passed our screening criteria under the saccade-beginning alignment of repeated trials. For this analysis, we applied a slightly stricter criterion by excluding trials where the probe end time occurred after the saccade beginning time.
DOI: 10.17632/9zbnzv8dh8
title: The effect of hsa-miR-200c-3p/ZEB1 loop in the epithelial-mesenchymal transition of ovarian cancer

description: Ovarian cancer (OC) is the diagnosis of disease at advanced stages with distant metastasis described as the transition of cells from epithelial to mesenchymal phenotype (EMT).The expression of hsa-miR-200c-3p was analyzed on the ovarian tissues obtained from healthy individuals (n=15), and advanced epithelial OC (EOC) patients (n=15). ZEB1 is one of the target genes of hsa-miR-200c-3p and was determined by in-silico methods. The expression of ZEB1 was analyzed in both groups.The expression of hsa-miR-200c-3p was significantly increased in OC patients (p &lt;0.05). ZEB1 expression level decreased significantly (p &lt;0.05) in EOC group. The correlation analysis indicated a strong negative correlation between hsa-miR-200c-3p and the ZEB1 gene (r=-0,75; p&lt;0,00).
DOI: 10.17632/csgnp6n4jj
title: Jackfruit tree and leaf disease detection using machine learning

description: Dataset overview:
This dataset contains images of Jackfruit tree and leaves, and has been classified into five distinct disease categories : 

1. Fresh leaf : Healthy, non-diseased leaves.
2. Red Rust leaf : Caused by Algae or Fungus Cephaleuros sp.Attacks leaves, twigs, flowers and shoots to form red spots.
3. Spot disease : Leaf spot in jackfruit is caused by a number of fungi, including  : Colletotrichum  orbiculare, Phyllosticta artocarpina, Septoria artocarpi, and Botryodiplodia theobromae.
4.  Fresh tree : Healthy, non-diseased trees.
5. Gummosis disease : Caused by Phomopsis atrocarpi, Environment stress, Mechanical injury.

#Dataset Breakdown:
 Healthy Leaf : 357 images
 Red Rust : 308 images
 Spot Disease : 231 images
 Healthy tree: 336 images
 Gummosis disease: 119 images
DOI: 10.17632/tvhrf7kysg
title: Data for: Assessing the preservation and provenance of Sr and Nd isotopic signatures in Cretaceous ash beds

description: Nd data is provided in the original PDF that was generated. Sr data is provided in Excel format. Geochemical data is provided in Excel format. U-Pb isotopic data is in Excel format, labeled as Hannon #1 8March2018 E2agecalc 187, Hannon #2, etc. All XRD files are raw data and can be readily converted if necessary.
DOI: 10.6084/m9.figshare.25768905.v1
title: all articles

description: all articles founded in RSL
DOI: 10.6084/m9.figshare.25782579.v3
title: Global soil-P deficits database from 1970 to 2017

description: We use a soil-P budgets (SPB) method to present a comprehensive assessment of temporal trends in soil-P deficits spanning the period from 1970-2017 for 10 crop categories in 90 countries and regions. Here, P budgets in cropland soil were calculated by summing the P inputs (mineral fertiliser, manure, irrigation water and pesticides) and subtracting the P removed by harvested crops, crop residues and P leaching.
DOI: 10.6084/m9.figshare.3027949.v1
title: Surface model of section T3/39 to T3/41 of the T3 theropod dinosaur trackway at Münchehagen (Lower Cretaceous, Germany), preserved as natural casts

description: Textured surface model of section T3/39 to T3/41 of the T3 theropod dinosaur trackway at Münchehagen (Lower Cretaceous, Germany), preserved as natural casts
DOI: 10.6084/m9.figshare.3553632.v1
title: Appendix H. Analysis of the relationship between abundance and aggregation in the simulation model.

description: Analysis of the relationship between abundance and aggregation in the simulation model.
DOI: 10.17632/3tfjnhmm23
title: A Spectral Dataset of mango plant leaf for plant diseases classification

description: Spectral data from mango leaves were collected using a spectrometer equipped with on-chip filtering technology, featuring up to 8 wavelength-selective photodiodes within a compact 9x9mm array. The spectrometer divided the spectrum into eight distinct bands with selectivity ranging from 400 to 1100 nm to detect Anthracnose, Powdery Mildew, and Sooty Mould diseases.
DOI: 10.17632/7w4hsm63nk
title: Data set for Trigeminal neuralgia patients in Addis Ababa, Ethiopia

description: This is a data set was from a facility based cross sectional study aimed to assess clinical characteristics, treatment, and associated factors in Trigeminal neuralgia (TN) patients in a Addis Ababa, Ethiopia. All patients with confirmed TN who presented to the four health facilities during the six month study period were included in the study. All the patients were interviewed and examined by board certified neurologist. Structured questionnaires were utilized to extract demographic, clinical, and imaging data from all the patients after informed consent was obtained. Descriptive analysis, Chi-square, student t-test, binary and multivariate analyses were used to describe the results. The data set contains the following data: demographic, clinical characteristics related to trigeminal neuralgia such as classification, duration of illness, involved side, involved nerve branch, history of dental extraction, quality of pain, triggering factors, triggering zone, treatment satisfaction, type of medications, and comorbidity. Our study participant's age range between 21 and 78 years. The gender distribution was equal. Additional data related to associated autonomic dysfunction, family history of trigeminal neuralgia, symptoms changes with seasonal changes, history of surgical procedures, and brain imaging findings. These data represent a data obtained by cross sectional at neurological out patient’s clinics. Therefore, it should be analyzed and interpreted accordingly. We decided to share these data with other colleagues because; this is the first study about Trigeminal neuralgia in Ethiopia, if not the sub-Saharan Africa. Such paucity of clinical information from the sub Saharan Africa regarding trigeminal neuralgia resulted in wide spread miss management, delayed diagnosis, and sub-optimal treatment of patients with TN in SSA Africa. Thus far, this is the first of trigeminal neuralgia patients in Ethiopia. Therefore, we decided to characterize their clinical features and simultaneously opt to determine the cause of delayed diagnosis and treatment satisfaction of our patients. One of the most important finding from our study was the high prevalence of dental extraction (41%) among TN patients in Ethiopia. This information is vital to us in such as way close to half of our patients with TN initially visited dental health professional for trigeminal-related facial pain. These findings indirectly indicate the level of miss diagnosis and delayed diagnosis our patients face currently in Ethiopia. Furthermore, this data indicate those patients who initially visited dental office for their facial pain were tends to be on higher dose of carbamazepine compared to those without history of dental extraction. These findings were explained by the combined adverse effect of delayed diagnosis and extraction of healthy tooth resulted in requirement of higher dose of carbamazepine to control the facial pain. This is an ongoing project by including more patients with TN.
DOI: 10.6084/m9.figshare.12792356.v3
title: OCT Raw scans - profiling

description: OCT scans at two lateral resolutions (40 um, 40 um, 2.18 um x,y,z respectively) and (11.1 um ,11.1 um and 2.18 um) were taken every 3 days in a 15 days experiment. LR scans have dimension 250 x 250 x 1024 pixels and are contained in folders name large. HR scans are 900 x 900 x 1024 pixels and are contained in folders names B1 (for the FFM) and B5 (for the SFM). Both HR and LR scans covered a total volume of 10 mm x 10 mm x 2.2 mm. 66 x 3 low resolution (LR) scans covered an area of 0.4 m x 0.025 m in a tiled pattern. 3 x 3 high resolution (HR) scans were taken at the extremes of the same area of interest. Each scan (in .raw format) is contained within a folder that contains also its metadata. They are labeled with the date and time of acquisition, while the last part of both the folder and file name identifies the tile.
DOI: 10.6084/m9.figshare.21069766.v1
title: Supplementary Material for: Atrial Tachyarrhythmias and Stroke: Temporal Relationship and Stroke Subtypes

description: <b><i>Background and Purpose:</i></b> Research into the temporal relationship between atrial tachyarrhythmias (atrial tachycardia [AT] and atrial fibrillation [AF]) and stroke has produced conflicting findings. Systematic categorization of stroke subtypes may help clarify the discussion. <b><i>Objectives:</i></b> The objective of the study was to examine the presence and timing of AT/AF in relation to ischemic stroke subtypes, categorized as either cardioembolic (CE) or non-CE. <b><i>Methods:</i></b> Consecutive patients presenting to the Austin Hospital with acute stroke from 2012 to 2019 and a cardiac implantable electronic device (CIED) were identified. Using a case-control design, the temporal proximity of AT/AF episodes in the 90 days prior to stroke was compared in the CE and non-CE stroke groups. <b><i>Results:</i></b> 5,591 patients presented to the Austin Hospital with acute stroke from 2012 to 2019, of whom 31 patients with an ischemic stroke and a CIED with ≥90 days of monitoring were identified. Twelve strokes were adjudicated as CE and 19 as non-CE by a stroke neurologist. Six of the 12 CE stroke patients (50%) experienced AT/AF within 30 days preceding their stroke, while none of the 19 non-CE stroke patients recorded any AT/AF in the same period (<i>p</i> = 0.001). Four CE stroke patients (33%) had no AT/AF preceding their strokes at any time. The odds ratio for CE stroke was highest (39; 95% confidence interval [CI]: 1.92–791.5) when AT/AF occurred in the 30 days prior, declining to 20.65 (95% CI: 1.00–427.66) and 6.07 (95% CI: 0.94–39.04) in the subsequent 31–60- and 61–90-day windows, respectively. <b><i>Conclusions:</i></b> CE strokes were associated with a significantly higher proportion of preceding AT/AF compared with non-CE strokes. These findings support a potential temporal relationship between AT/AF and CE stroke and demonstrate that stroke subtyping can better characterize the relationship between AF and ischemic stroke. However, this study’s findings are limited by its sample size and small number of informative cases.
DOI: 10.6084/m9.figshare.23458136.v1
title: Blood-based Proteomic Signatures Associated With MEN1-related Duodenopancreatic Neuroendocrine Tumor Progression

description: Purpose: Patients with multiple endocrine neoplasia type 1 (MEN1) are predisposed to develop duodenopancreatic neuroendocrine tumors (dpNETs), and metastatic dpNET is the primary cause of disease-related mortality. Presently, there is a paucity of prognostic factors that can reliably identify patients with MEN1-related dpNETS who are at high risk of distant metastasis. In the current study, we aimed to establish novel circulating molecular protein signatures associated with disease progression. <br> Experimental Design: Mass spectrometry-based proteomic profiling was conducted on plasmas procured through an international collaboration between MD Anderson Cancer Center, the National Institutes of Health, and the University Medical Center Utrecht from a cohort of 56 patients with MEN1 [14 with distant metastasis dpNETs (cases) and 42 with either indolent dpNETs or no dpNETs (controls)]. Findings were compared to proteomic profiles generated from serially collected plasmas from a mouse model of Men1-pancreatic neuroendocrine tumors (Men1fl/flPdx1- CreTg) and control mice (Men1fl/fl). <br> Results: A total of 187 proteins were found to be elevated in MEN1 patients with distant metastasis compared to controls, including 9 proteins previously associated with pancreatic cancer and other neuronal proteins. Analyses of mouse plasmas revealed 196 proteins enriched for transcriptional targets of oncogenic MYCN, YAP1, POU5F1, and SMAD that were associated with disease progression in Men1fl/flPdx1-CreTg mice. Cross-species intersection revealed 19 proteins positively associated with disease progression in both human patients and in Men1fl/flPdx1-CreTg mice. <br> Conclusions: Our integrated analyses identified novel circulating protein markers associated with disease progression in MEN1-related dpNET.