cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/rbr7mjgpy5
title: Philippine Dengue Cases 

description: Dengue is a viral disease spread by Aedes aegypti mosquitoes. It is a problem in many tropical and subtropical parts of the world including Africa, Southeast Asia, and South America. In the Philippines, the viral disease is still endemic in all regions wherein annual cases have ranged from 200,000 to 400,000. 

In this dataset, the weekly cumulative confirmed cases of Dengue  in the Philippines from January 1, 2017 to October 8, 2022  were collected from the Philippine Department of Health website. The Excel file has three sheets: Sheet 1 contains the raw data that was extracted from the DOH website; Sheet 2 contains the raw, computed (Δ(X_n-X_(n-1))), and imputed data that were used in building the ARIMA-GARCH and HW models; and, Sheet 3 contains the forecasts from the models considered.

The data are useful as they as they can be used to train predictive models that can produce short-term forecasts of Dengue cases in the Philippines. These data can provide dynamic information to health officials and other concerned departments and agencies for surveillance, analysis, policy making, and decision making.  The data are reusable and can be used to further explore the dengue cases in the Philippines.
DOI: 10.6084/m9.figshare.21648773.v1
title: Observed dataset. Article: "The increase in intensity and frequency of surface air temperature extremes throughout the western South Atlantic coast". Journal: Scientific Reports

description: Observed temperatures measured in weather stations that were used in the bias removing analysis. Data from São luís, Natal, São Mateus, Iguape, and Rio Grande (from 2007 to 2019). The observed dataset was measured in automatic weather stations from the Brazilian National Institute of Meteorology (INMET; https://portal.inmet.gov.br/)
DOI: 10.6084/m9.figshare.21695735.v1
title: Row data for 1042835.zip

description: <strong>Title: Hypoxia-dependent spatial transcriptomics predicted the prognosis and efficacy of immunotherapy in claudin-low breast cancer</strong> <strong>The raw data in this study includes four parts.</strong> <strong>Original data list</strong> <strong>Part 1 </strong> <strong>Source data (raw data, original data, individual data points) for the information presented in your tables and figures. This should be in a generally readable format and Excel files are preferred.</strong> This study peformed Spatial Transcriptomics (ST) to demonstrate their spatial distribution in human claudin-low breast cancer MDA-MB-231 engraft. 10x genomics official software Space Ranger 1.0.0 was used for data preprocessing, gene expression quantitative and point identification. The original Space Ranger files for 4 samples were also submitted as additional files in Jianguoyun website (https://www.jianguoyun.com/c/sd/15eabb7/5bdc92d86263a0b7). Software Seurat 4.0 was used to analyze and cluster the four samples. UMAP algorithm were used to reduce the dimension of data and visualize data. The differentially expressed genes and cluster type in 12 clusters listed in Supplementary Table 3. <strong>Part 2 </strong> <strong>If your raw data were obtained from publicly available datasets, please provide the working sheets used to analyse these data.</strong> RNA-Sequence data and associated clinical data for 1904 breast cancers (METABRIC) were downloaded from the cBioPortal website (http://www.cbioportal.org/datasets). We used these data to validate the relationship between the breast cancer hypoxia-dependent spatial clusters score and immune cell infiltrition, immune funtion and breast cancer subtype. Supplementary table 4 listed the clinicopathological factors and ssGSEA score of each sample. Supplementary table 5 showed the gene sets used in this study. <strong>Part 3 </strong> <strong>If statistical programs (such as R, SAS, SPSS, MATLAB) were used for the data analysis or figure creation in your manuscript, please provide all the relevant code/script files (such as .R or .SPS) and data sheets to replicate your analyses or figures.</strong> The breast cancer hypoxia-dependent spatial clusters score and immune fuction-related score was calculated based on the ssGSEA R launguage for 1904 human breast cancers. Kaplan–Meier (K-M) analysis were carried out using R language. The R script files for ssGSEA and K-M survival were submitted as additional files in Jianguoyun website（https://www.jianguoyun.com/c/sd/15eabb7/5bdc92d86263a0b7）. SPSS 20.0 software was used to perform Cox proportional hazards regression, ANOVA test, Chi-squared test, and <em>Pearson</em> correlation. The correlation heatmaps were provided by HIPLOT website (https://hiplot.com.cn/basic/cor-heatmap). <strong>Part 4</strong> This part of data are the original images in Figure 2, Figure 3 and Figure S1. There are immunofluorescence staining pictures and immunohistochemical staining pictures.
DOI: 10.6084/m9.figshare.22786730.v4
title: <strong>AIMD-Chig: exploring the conformational space of 166-atom protein </strong><em><strong>Chignolin</strong></em><strong> with </strong><em><strong>ab initio</strong></em> <strong>molecular dynamics</strong>

description: AIMD-Chig is an MD dataset including 2 million conformations of 166-atom protein Chignolin sampled at the density functional theory (DFT) level with 7,763,146 CPU hours. 10,000 conformations were initialized covering the whole conformational space of Chignolin, including folded, unfolded, and metastable states. <i>Ab initio</i> simulations were driven by M062X/6-31G* with a Berendsen thermostat at 340K. We reported coordinates, energies, and forces for each conformation.
DOI: 10.6084/m9.figshare.28960541.v1
title: Planowanie Przestrzenne Dane

description: ....
DOI: 10.6084/m9.figshare.8831354.v2
title: Table S1 Order of exposures by a 4x4 Latin-square design

description: The order of exposure followed a 4 × 4 Latin-square design that balanced out any effects of the sequence of exposure to the temperatures.
DOI: 10.6084/m9.figshare.9746303.v2
title: Paddy soil microbial functional genes

description: Paddy soil microbial functional genes, contains C, N, S, P etc. 429 paddy soil samples from 39 long-term paddy fields across China.
DOI: 10.6084/m9.figshare.9757076.v1
title: Diabetes self-management and social cognitive factors.csv

description: This is raw data from a cross secional study of 510 people living with diabetes attending the Queen Elizabeth Central Hospital diabetes clinic. Ethical approval for the study was granted by the College of Medicine Research and Ethics Committee (Ref: P.08/17/229). The data were collected between November 2017 and May 2018 using an interviewer administered questionnaire that solicited data on participants demographic and clinical clinical characteristics, five social cognitive theory factors (self-efficacy, outcome expectations, knowledge, social support and barriers to self-management) and self-management (diet, exercise, foot care, medication, self-monitoring of blood glucose and smoking). The data were entered into a Microsoft Access database ten exported into Stata version 14.0 for cleaning and analysis. <br><br>
DOI: 10.6084/m9.figshare.13513620.v1
title: gallstone data

description: Relationship between liver resection for hepatocellular carcinoma and the prevalence of gallstones: A cohort study<b></b>
DOI: 10.6084/m9.figshare.21915114.v1
title: Supplementary Material for: Effect of Chemotherapy in Stage II-IV Large Cell Lung Carcinoma and Construction of its Predictive Nomograms: A SEER Analysis

description: Objectives: Large cell lung carcinoma (LCLC) is generally poorly differentiated with a poor prognosis. This study aimed to explore the impact of chemotherapy on the prognosis of patients with stage Ⅱ-Ⅳ LCLC and to construct nomograms to predict overall survival (OS) and cancer-specific survival (CSS). Methods: Propensity score matching (PSM) analysis was used to balance the effects of baseline characteristics. The Kaplan-Meier method was used to analyze the prognostic impact of chemotherapy on LCLC patients. Cox regression analysis was used to identify prognostic risk factors, and then nomograms were constructed and validated. Results: Overall, we identified 2532 patients with LCLC from the Surveillance, Epidemiology, and End Results (SEER) database. The chemotherapy group showed better OS and CSS compared to the non-/unknown chemotherapy group for stage II-IV LCLC patients (p &lt; 0.05). Two nomograms were plotted based on the results of Cox regression analysis. The areas under the curves (AUCs) of 1-, 3-, and 5- years OS were 0.786, 0.824, and 0.837, and the AUCs of CSS were 0.785, 0.821, and 0.836. The calibration curves showed excellent agreement between the prediction and the actual observation, and the decision curve analysis (DCA) demonstrated good clinical utility. Conclusions: Chemotherapy could improve the prognosis among stage II-IV LCLC patients. In addition, the nomograms showed good predictive ability, which could be useful in making clinical decisions.
DOI: 10.6084/m9.figshare.23576784.v1
title: Dependence of electron flux dropouts in the Earth’s outer radiation belt on energy and driving parameters During Geomagnetic Storms

description: This is the dataset used to produce figures for the paper under review with the title of "Dependence of electron flux dropouts in the Earth’s outer radiation belt on energy and driving parameters".<br>The authors gratefully acknowledge subgrant 1559841 to the University of California, Los Angeles, from the University of Colorado Boulder under NASA Prime Grant agreement 80NSSC20K1580 and NSF GEM award 2025706.
DOI: 10.6084/m9.figshare.29045180.v1
title: IEEE_Conference_Template.pdf

description: The <b>Smart Complaint Management System</b> is a web-based application designed to enhance urban service delivery and citizen engagement. This system allows residents to file <b>personal</b> or <b>public complaints</b> directly to the city headquarters. Personal complaints—such as issues related to electricity, water leakage, or drainage—are automatically assigned to specific technicians based on expertise and area. Public complaints—like malfunctioning street lights or road damage—can be upvoted by other users, enabling the authorities to prioritize issues based on public interest.The platform features <b>two primary modules</b>:<b>Public Module</b>: Open to all citizens for submitting and voting on public complaints.<b>Personal Module</b>: Requires login and allows users to file private complaints with status tracking.Technicians can log in using their unique ID to <b>view assigned tasks</b>, <b>update status</b>, and <b>provide resolution remarks</b>. The system supports <b>file uploads</b>, <b>email notifications</b>, and an <b>admin dashboard</b> for monitoring overall complaint trends and technician performance.Developed using technologies like <b>MongoDB</b>, <b>Express.js</b>, <b>React.js</b>, and <b>Node.js (MERN stack)</b>, this project aims to digitize and streamline civic complaint redressal mechanisms in smart cities.
DOI: 10.6084/m9.figshare.4293959.v2
title: data_qm9.pkl.tar.gz

description: compressed python pickle file for qm9 dataset
DOI: 10.6084/m9.figshare.14429029.v1
title: Additional file 1 of Correlation between the spatial distribution and colony size was common for monogenetic bacteria in laboratory conditions

description: Additional file 1: Table S1. Data used for the boxplots. Table S2. Data of temporal changes in colony size and Voronoi correlation.
DOI: 10.6084/m9.figshare.1598246.v2
title: Enabling Interactivity on Displays of Multivariate Time Series and Longitudinal Data

description: Temporal data are information measured in the context of time. This contextual structure provides components that need to be explored to understand the data and that can form the basis of interactions applied to the plots. In multivariate time series, we expect to see temporal dependence, long term and seasonal trends, and cross-correlations. In longitudinal data, we also expect within and between subject dependence. Time series and longitudinal data, although analyzed differently, are often plotted using similar displays. We provide a taxonomy of interactions on plots that can enable exploring temporal components of these data types, and describe how to build these interactions using data transformations. Because temporal data are often accompanied other types of data we also describe how to link the temporal plots with other displays of data. The ideas are conceptualized into a data pipeline for temporal data and implemented into the R package cranvas. This package provides many different types of interactive graphics that can be used together to explore data or diagnose a model fit.
DOI: 10.6084/m9.figshare.25745295.v1
title: Dengue data in 11 countries

description: Research on Dengue in 11 countries
DOI: 10.17632/xdnwh77646
title: Co-morbidities and other adverse effects in Covid-19 vaccine induced vitiligo cases

description: Supplemental data for the JAAD Vitiligo VAERS manuscript highlighting key comorbidities and adverse-effects of patients that experienced vitiligo following COVID-19 infection.
DOI: 10.6084/m9.figshare.12756470.v1
title: Protein.txt

description: This is the 189 Protein expression of 11128 patients from TCGA.
DOI: 10.6084/m9.figshare.7096208.v1
title: Quanfima Datasets

description: The dataset used in the paper "quanfima: An open source Python package for automated fiber analysis of biomaterials"<br>Polymer datasets: sample1_8bit_256x256x256, sample3_8bit_256x256x256<br>Generated datasets: dataset_noised_fibers_disordered_nl0.0_sl0.0, dataset_noised_fibers_medium_nl0.0_sl0.0, dataset_noised_fibers_aligned_nl0.0_sl0.0 (packed with Python's package pickle)<br>Cryogel scaffold datasets: cryogel_scaffold_8bit_639x639x539, cryogel_scaffold_diameter (packed with Python's package pickle)<br>Hydrogel datasets: hydrogel_hydroxyapatite_8bit_150x150x150, hydrogel_stannum_8bit_150x150x150<br><br><br><br>
DOI: 10.17632/tpcp6v2rjc
title: Clinical features and disease course of hydroa vacciniforme: A systematic review Supplementary File

description: Supplementary File for "Clinical features and disease course of hydroa vacciniforme: A systematic review."
DOI: 10.18739/a2zc7rw3h
title: Atmospheric methane across the Last Glacial Maximum from the West Antarctic Ice Sheet (WAIS) Divide, North Greenland Eemian Ice Drilling (NEEM), and Greenland Ice Sheet Project Two (GISP2) ice cores.

description: This dataset includes measurements of atmospheric methane from samples from the North Greenland Eemian Ice Drilling (NEEM), Greenland Ice Sheet Project Two (GISP2) and West Antarctic Ice Sheet (WAIS) Divide ice cores. All measurements were made at the Oregon State University Ice Core and Quaternary Geochemistry Laboratory (Corvallis, OR) using an established analytical system. 433 samples from the NEEM ice core were measured between 1420 and 1560 meter depths. A measurement uncertainty ranging from 2.8 to 4.2 parts per billion (ppb), depending on the measurement year, was determined from replicate samples. 340 samples from the GISP2 ice core were measured between 1740 and 2060 meter depths. A measurement uncertainty ranging from 3.1 to 3.4 ppb, depending on the measurement year, was determined from replicate samples. All GISP2 and NEEM data were corrected for excess methane contamination using the established relationship between excess methane and Ca2+ (Lee et al., 2020). Both corrected and uncorrected data are included in the publication. 340 samples from the GISP2 ice core were measured between 1957 and 3081 meter depths. A measurement uncertainty ranging from 3.1 to 3.4 ppb, depending on the measurement year, was determined from replicate samples. Depths reflect the mid-points of the depth range of each samples, which is typically ~8cm.
 Lee, J. E. et al. Excess methane in Greenland ice cores associated with high dust concentrations. Geochimica et cosmochimica acta 270, 409-430 (2020).
DOI: 10.15468/dl.tqm6uk
title: Occurrence Download

description: A dataset containing 6227 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Caulerpa racemosa (Forssk.) J.Agardh"
 ]
}

 The dataset includes 6227 records from 189 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016410-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5061/dryad.0cfxpnwbr
title: Nonlinear microscopy video atlas of gastrointestinal tract pathology

description: Over the past several decades, optical sectioning technologies have
 emerged as valuable tools for evaluating tissue histology. Because these
 techniques eliminate the need for laborious paraffin embedding and
 microtome sectioning, they may enable real-time intraoperative assessments
 and more efficient tissue triaging. This study explores the use
 of one such technique, nonlinear microscopy (NLM) in the context of
 gastrointestinal (GI) pathology. We provide a comprehensive NLM-based
 atlas of GI pathology, consisting of video clips demonstrating real-time
 analysis and three-dimensional (3D) scanning capabilities. NLM provides
 valuable 3D spatial information, improving clinical evaluations of key
 histological features such as depth of invasion, lymphovascular and
 perineural invasion, tumor budding, and margin assessment. Time-lapse
 videos further demonstrate NLM's capacity to capture 3D histological
 structures up to a depth of approximately 100 µm. Our findings indicate
 that NLM can serve as an optical sectioning platform for GI histology,
 providing both diagnostic-quality imaging and advanced 3D visualisation.
 The introduction of an NLM-based atlas has the potential to redefine
 anatomical pathology workflows and advance digital pathology image
 analysis.
description: Fresh or fixed gastrointestinal surgical specimens were collected
 under an IRB-approved study protocol. Specimens were dissected into
 approximately 2 × 1 × 0.5 cm sections and stained directly with acridine
 orange and sulforhodamine 101, labeling nucleic acids and proteins,
 respectively. Stained tissues were briefly rinsed and mounted on a
 custom-designed inverted microscope stage. Video-rate nonlinear microscopy
 was performed with excitation wavelength of 1030 nm and a 20×/0.75 NA dry
 objective lens. A macro image of the entire stage was acquired using a
 sub-stage camera (shown on the right in the video clips). A surgical
 pathologist performed real-time imaging by navigating with a motorized
 stage and an objective lens scanner.
description: # Nonlinear microscopy video atlas of gastrointestinal tract pathology
 [https://doi.org/10.5061/dryad.0cfxpnwbr](https://doi.org/10.5061/dryad.0cfxpnwbr) ## Description of the data and file structure A collection of videos demonstrating nonlinear microscopy imaging of gastrointestinal pathology. ### Files and variables #### File: NLM\_GI\_video\_atlas.zip **Description:** Video clips (MP4 and MOV) depicting NLM live imaging feeds (left) with corresponding gross location indicator and other metadata displayed on the right. Video descriptions are provided in the .xlsx file. ## Code/software Video files can be opened with video players such as the VLC media player: https://www.videolan.org/vlc/ Excel spreadsheets can be opened with Microsoft Excel or OpenOffice : https://www.openoffice.org/
DOI: 10.15468/dl.whysqd
title: Occurrence Download

description: A dataset containing 275 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Material sample, Material citation, Fossil, Living Specimen, Occurrence evidence)",
 "GadmGid is one of (SOM.1_1, SOM.18_1, SOM.16_1, SOM.13_1, SOM.17_1)",
 "OccurrenceStatus is Present",
 "TaxonKey is Arthropoda"
 ]
}

 The dataset includes 275 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004175-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5061/dryad.brv15dvk3
title: Mitochondrial reference genome for Teleopsis dalmanni

description: We assembled a complete mitochondrial genome using publicly available
 PacBio HiFi reads, which were generated from pooled Teleopsis dalmanni
 larvae. The assembly was conducted using MitoHiFi v3.01 (Uliano-Silva et
 al., 2023), a tool designed for accurate mitochondrial genome assembly
 from high-fidelity long-read data. Specifically, we used the raw HiFi
 reads as input and employed the mitochondrial genome of the rust fly
 (Loxocera sinicia) as a reference to guide the assembly. Genome annotation
 was carried out using MitoFinder, which identified the full complement of
 mitochondrial genes. The final result was a circularised mitochondrial
 genome assembly measuring 20,708 base pairs in length and containing all
 37 typical mitochondrial genes, including 13 protein-coding genes, 22
 tRNAs, and 2 rRNAs.
description: # Mitochondrial reference genome for Teleopsis dalmanni
 [https://doi.org/10.5061/dryad.brv15dvk3](https://doi.org/10.5061/dryad.brv15dvk3) #### **Description of the data and file structure** **Files and variables** 1\. **Teleopsisdalmanni_mito_gene_sequences.fasta** * **Description**: Mitochondrial gene sequences of *Teleopsis dalmanni* in FASTA format. 2\. **Teleopsisdalmanni_Mitogenome.fasta** * **Description**: Complete mitochondrial genome sequence of *Teleopsis dalmanni* in FASTA format. 3\. **Teleopsisdalmanni_Mitogenome.gb** * **Description**: Complete mitochondrial genome of *Teleopsis dalmanni* in GenBank format, including annotations
DOI: 10.15139/s3/ahg8p0
title: Data Management and Sharing Plan for: SPORE in Breast Cancer

description: The Data Management and Sharing Plan describes the scientific data to be generated and/or used in the research and outlines a strategy for managing and sharing project data.
description: Data Management and Sharing Plan
DOI: 10.5061/dryad.q573n5tsg
title: Body masses of the 15 largest mammalian primary consumers in African and Amazonian rainforest

description: These data document the smaller size of Amazonian primary consumers by
 comparison with their African rainforest counterparts. In particular,
 Amazonia has conspicuously  fewer large folivorous species.
 Late-Quaternary anthropogenic extinctions (discussed in the Biotropica
 article) account for most size and trophic mismatches between these
 otherwise similar Recent faunas.
description: # Body masses of the 15 largest mammalian primary consumers in African and
 Amazonian rainforest
 [https://doi.org/10.5061/dryad.q573n5tsg](https://doi.org/10.5061/dryad.q573n5tsg) ## Description of the data and file structure This is an excel spreadsheet that includes body size (kg) and trophic guild (fol = folivorous, fru = frugivorous) for the 15 largest primary consumers in Amazonian and African rainforests ### Files and variables #### File: Data\_for\_BITR-24-230.R1.xlsx **Description:** Body size (kg) and trophic guild membership for 15 largest primary consumers in Amazonian and African rainforests ##### Variables * Mass (kg) * Trophic guild (fol = folivorous, fru = frugivorous) ## Code/software Microsoft Excel ## Access information Other publicly accessible locations of the data: * None Data was derived from the following sources: * [https://doi.org/10.1206/4019.1](https://doi.org/10.1206/4019.1) * [https://doi.org/10.1111/j.1469-7998.1983.tb02091.x](https://doi.org/10.1111/j.1469-7998.1983.tb02091.x)