cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.25356649.v1
title: Anexo A - Series temporales Precipitacion mensual por estacion.xlsx

description: Se recopilaron datos de precipitación diaria, entre enero de 2000 y diciembre de 2022, de estaciones meteorológicas provenientes de redes oficiales de la República Argentina: Servicio Meteorológico Nacional (SMN, https://www.smn.gob.ar/), red meteorológica del Instituto Nacional de Tecnología Agropecuaria (INTA, http://siga.inta.gob.ar/), Base de Datos del Sistema Nacional de Información Hídrica (SNIH, https://snih.hidricosargentina.gob.ar/Filtros.aspx); Autoridad Interjurisdiccional de las Cuencas de los ríos Limay, Neuquén y Negro (AIC, http://www.aic.gov.ar/sitio/home) y redes meteorológicas de las provincias de La Pampa (https://lapampa.redesclimaticas.com/accounts/login/?next=/), Córdoba (https://clima.bccba.org.ar/accounts/login/?next=/) y San Luis (http://www.clima.sanluis.gov.ar/Index.aspx).Los registros diarios fueron agregados a escala mensual, considerándose sin datos aquellos meses con menos de 28 días medidos. Las series temporales de las estaciones que cumplieron este requisito fueron evaluadas a partir de la detección de valores extremos de precipitación siguiendo el protocolo de exploración gráfica de Zuur et al. (2010). El análisis de valores extremos en cada estación tenía el objetivo de detectar errores en el proceso de medición o en la entrada de los datos a las planillas de cálculo. Sin embargo, los valores más extremos detectados correspondían a eventos de precipitación elevada validadas con otros registros (por ej. artículos periodísticos). Por lo tanto, no fue necesario excluir ningún valor extremo de las series temporales. Como resultado se compiló una base de datos de 385 estaciones con series temporales incompletas.
DOI: 10.6084/m9.figshare.11452950.v1
title: AUTOMATED INDIVIDUAL TREE DETECTION IN AMAZON TROPICAL FOREST FROM AIRBORNE LASER SCANNING DATA

description: ABSTRACT Light Detection and Ranging (LiDAR) derived individual tree crown attributes can potentially serve as a tool for ecology and forest dynamics studies and reduce field inventory costs. In this study, four methods of individual tree detection (ITD), Watershed, Silva et al. (2016), Dalponte and Coomes (2016), and Coomes et al. (2017), were evaluated in a tropical forest under sustainable forest management, situated in the State of Rondônia, Brazil. An automated tree matching procedure was developed in order to minimize the error when matching individual tree count from LiDAR and field data. In order to compare the four methods, results were expressed in recall, precision, and F score. Silva et al. (2016) outperformed the other methods, detecting 48% of trees with 46% of precision. Omission of trees was the leading source of error, caused primarily by overlapped trees in lower vegetation. However, errors of over-segmentation were relevant, caused by large and heterogeneous crowns that had multiple detections. Current canopy height model-based methods are ineffective to tropical forests, due to its complexity, which present a challenge for ITD algorithms. We believe that future studies that use complete 3D information from the point cloud, and multi-layer approaches should help to improve the accuracy of individual tree detection.
DOI: 10.6084/m9.figshare.12227114.v1
title: Activity questionnaire data

description: This data set contains the processed activity questionnaire results for the virtual reality experiment.<br> <br> The data is organised so that each row contains the "activity scores" given by one participant to all environments experienced by that participant. Columns in the data include the participant, the group that the participant belongs to (see below) and the environments rated by the participant. The activity score for an environment is a weighted average of a participant's responses to activity questionnaire items for that environment (see raw data, available in this same collection). Please see the paper by the authors (2022) for more information on how this activity score was generated.<br> <strong>Groups</strong> Participants were divided into two groups (A and B) which experienced different sets of environments as follows:<br> <br> Group A: 1, 2, 6, 7, 8, 10, 11, 12, 14<br> Group B: 1, 3, 4, 5, 7, 8, 9, 13, 14<br> <br> <strong>Missing data</strong> Some participants missed questionnaire items. Thus, although all participants experienced 9 environments, not all have activity scores for 9 environments. These participants are still included in the data set because some of the analyses we conducted can be carried out regardless.<br> <br> <strong>Outliers<br> </strong> Participants 35 and 38 were excluded from analyses because they gave consistently low ratings to all environments. They are, however, included in this data set.<br> <br> <strong>Data analysis<br> </strong>
DOI: 10.6084/m9.figshare.24848139.v1
title: Source Data.xlsx

description: The source data includes many topographies obtained in scanning tunneling microscope.
DOI: 10.6084/m9.figshare.27940719.v1
title: Downsampled data from FlowRepository: FR-FCM-Z3WR

description: Spectral flow cytometry provides greater insights into cellular heterogeneity by simultaneous measurement of up to 50 markers. However, analyzing such high-dimensional (HD) data is complex through traditional manual gating strategy. To address this gap, we developed CAFE as an open-source Python-based web application with a graphical user interface. Built with Streamlit, CAFE incorporates libraries such as Scanpy for single-cell analysis, Pandas and PyArrow for efficient data handling, and Matplotlib, Seaborn, Plotly for creating customizable figures. Its robust toolset includes density-based down-sampling, dimensionality reduction, batch correction, Leiden-based clustering, cluster merging and annotation. Using CAFE, we demonstrated analysis of a human PBMC dataset of 350,000 cells identifying 16 distinct cell clusters. CAFE can generate publication-ready figures in real time via interactive slider controls and dropdown menus, eliminating the need for coding expertise and making HD data analysis accessible to all. CAFE is licensed under MIT and is freely available at https://github.com/mhbsiam/cafe.
DOI: 10.6084/m9.figshare.25911475.v1
title: A photocatalytic redox cycle over a polyimide catalyst drives efficient solar-to-H2O2 conversion

description: source data files for figures and calculations
DOI: 10.17632/66dyy88d4h
title: Research hotspots and future trends in the field of nursing innovation

description: Distribution of the top 20 keywords in the field of nursing innovation research and Analysis of Development Trends Based on Current Research and Keyword clustering map of research in the field of nursing innovation
DOI: 10.6084/m9.figshare.1243186.v2
title: Path Analysis & Structural Equation Modeling Code & Data

description: Code and data for Introduction to Path Analysis and Structural Equation Modeling workshop (Michel 2014, http://dx.doi.org/10.6084/m9.figshare.1243187)
DOI: 10.6084/m9.figshare.23755524.v2
title: Immunological, epidemiological and genetic data on the emergence of adaptive immunity to pneumococci

description: This dataset is a CSV file describing the development of IgG responses to pneumococcal proteins in infants. The table corresponds to the data frame <i>antigen_exposure_response_environment.df</i> in the analysis pipeline described in https://github.com/nickjcroucher/maelaAntigens.
DOI: 10.6084/m9.figshare.29035637.v1
title: <b>Frequency of Compound Drought and Heatwaves</b>

description: We combined the agricultural drought index as well as the heat wave index to identify the frequency of CDHW from 1990-2020.
DOI: 10.6084/m9.figshare.29066612.v1
title: grainsack datasets

description: This resource contains the <i>Knowledge Graph</i> supported by the Python library grainsack (https://github.com/rbarile17/grainsack).
DOI: 10.15468/dl.7qjhdq
title: Occurrence Download

description: A dataset containing 30 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 Perezia recurvata (Vahl) Less.",
 "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 30 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013084-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.25370746.v1
title: Data from: <b>A multi-dimensional analysis </b><b>o</b><b>f interpreted and non-interpreted English discourses at C</b><b>hinese</b><b> and American government press conferences</b>

description: Dataset analyzed for a study using a multidimensional analysis (MDA) proposed by Douglas Biber to investigate the difference in communicative functions between the interpreted and non-interpreted political discourses, based on a comparable corpus of English interpretations of Chinese government press conferences and original English of U.S. government press conferences.
DOI: 10.6084/m9.figshare.25511977.v1
title: Supplementary Material for: Distal duodenal stricture secondary to mesenteric fibromatosis (intra-abdominal desmoid tumor) of the jejunum

description: Introduction
Mesenteric fibromatosis (intra-abdominal desmoid tumor) is rare, with only a few cases reported in the literature. Clinical symptoms range from asymptomatic, nausea, early satiety, abdominal pain, and gastrointestinal bleeding. Although histologically benign, such a tumor may become locally invasive, and aggressive forms contribute to significant morbidity and mortality. 

Case Presentation
We report the case of a 52-year-old West African male with a 1-year history of intermittent hematochezia and intermittent bloating. Colonoscopy revealed a 4mm rectal polyp and internal hemorrhoids. Esophagogastroduodenoscopy (EGD) revealed a severe duodenal stricture 4-5 cm distal to the ampulla. Further work-up with contrast-enhanced computed tomography (CT) of the abdomen and pelvis revealed a 5.0 x 3.7 x 4.3 centimeter mass within the mesentery, encasing the distal portion of the duodenum. Exploratory laparotomy was performed, and the mass was excised from the jejunum. Histopathology findings and immunohistochemical analysis revealed the diagnosis to be mesenteric fibromatosis (desmoid tumor), positive for nuclear β-catenin and SMA, and negative expression of STAT6, desmin, caldesmon, pan-cytokeratin, or c-KIT. The Ki67 index is &lt;1%. 

Conclusion
This case report highlights the diagnostic challenges of mesenteric fibromatosis due to its nonspecific clinical presentation. Recognizing uncommon presentations of mesenteric fibromatosis and risk factors aids in early diagnosis, management, and treatment. Importantly, this also aids in the prevention of complications such as intestinal obstruction, bowel ischemia, and fistula formation.
DOI: 10.6084/m9.figshare.3394735.v2
title: Height of ice hockey players

description: Ice hockey players at IIHF world championships, 2001-2016.<br>The dataset contains 6292 records of 3333 players' height and weight parameters at 16 world championships.<br>
DOI: 10.17632/sn2kv34r4h
title: Mechanically Induced Thermal Runaway for Li-ion Batteries

description: The deployment of Li-ion batteries covers a wide range of energy storage applications, from mobile phones, e-bikes, electric vehicles (EV) and stationary energy storage systems. However, safety issue such as thermal runaway is always one of the most important concerns to prevent Li-ion batteries from further market penetration. A standardized single-side indentation test protocol was developed to mechanically induce an internal short-circuit. The cell voltage, compressive load, indenter stroke, and temperature at the indentation point are measured in time series. The test data of each cell, along with cell parameters such as dimensions, mass, chemistry, state of charge (SOC), capacity, are integrated together to calculate a thermal runaway severity score from 0 to100. Complete data collection process including the original measured record, test method, severity score calculation scheme is presented in this article. The thermal runaway severity analysis and the more than 100 tested Li-ion battery records provide a good data source for further comparison and ranking of thermal runaway risks.
DOI: 10.17632/zyh55jy6gh
title: Data for: Trace elements in titanite: A potential tool to constrain polygenetic growth processes and timing

description: Appendix E contains the LA-ICPMS data for all titanite samples.
DOI: 10.6084/m9.figshare.1249769.v1
title: The PyNE Software Library: Why and How

description: Presentation to ANS Nor Cal section meeting in Oct. 2014 about the open source software library PyNE.
DOI: 10.6084/m9.figshare.16527519.v3
title: Data

description: This is a dataset that contains imaging measurements of various cardiac structures and great vessels in patients with and without pulmonary hypertension. Each measurement was carried out by a consultant radiology, a specialist registrar and a medical student.
DOI: 10.6084/m9.figshare.7007993.v2
title: Compatibility of Cats with Children in the Family

description: The data include results from a survey asking parents about cat's role in families. The participants had at least one child between 3 and 12 years of age and at least one cat. This study gathered demographic data, geographic region of respondents, behavioral characteristics of cats, and responses of children to cats.<br>
DOI: 10.17632/t7rwzgbfdd
title: Treevill: National Botanical Garden Unique & Rare Tree Argument Dataset

description: The Treevill: National Botanical Garden Unique & Rare Tree Argument Dataset was meticulously curated to provide high-quality, diverse images of tree species found in the National Botanical Garden of Bangladesh (N.B.G.). The dataset is designed to support a wide range of research and machine learning applications, particularly in biodiversity studies, image classification, and object recognition.


Source of Data:

The images in this dataset were collected directly from the National Botanical Garden of Bangladesh, which houses a wide variety of unique and rare tree species.
Data collection was performed under natural conditions to ensure the images captured a diverse representation of each species from multiple angles, lighting conditions, and environmental settings.
Species Documentation:

Data Augmentation Process:
Grayscale: Images were converted to black-and-white to focus more on the structural features of the trees, reducing the influence of color.

Posterized: The number of colors in the image was reduced to highlight shapes and contrasts, simulating the effect of various imaging techniques.

Rotated: Images were randomly rotated to simulate different viewpoints and perspectives, enabling the model to better recognize the tree species from any angle.

Flipped Horizontal/Vertical: Horizontal and vertical mirroring was applied to simulate alternative tree orientations, increasing the variety in the dataset.

Bright/Contrast Adjustments: The brightness and contrast of the images were modified to simulate varying environmental lighting conditions, such as sunny, cloudy, or shaded areas.

Blurred: Some images were intentionally blurred to simulate focus variations and to mimic different depth-of-field effects in real-world photography.

Edge Enhancement: Sharpness was applied to highlight edges and features of the trees, making fine details stand out.

Inverted: Colors in some images were inverted to test the model's robustness against unusual or extreme lighting conditions.

Thumbnail: Lower-resolution versions of images were created to emphasize larger patterns and visual structures, useful for testing model performance at lower resolutions.

Cropped: Images were cropped to simulate partial views or closer inspections of specific parts of the tree, focusing on details such as leaves, bark, or fruits.

Sharpened: The sharpness of some images was enhanced to emphasize finer details of the tree species and their distinguishing features.

Sepia: A sepia tone was applied to simulate aged or vintage photographs, which may be encountered in some botanical archives or historical documents.
DOI: 10.6084/m9.figshare.19706662.v1
title: Antimicrobial resistance surveillance report, Kantharalak Hospital, Sisaket Thailand, 01 Jan 2021 to 31 Dec 2021

description: The AMASSplus application is an extension of AMASS Version 1.1 that was released on 12 January 2021. AMASSplus has an additional report (page 38-40) on selected notifiable bacterial diseases.For implementation of AMASSplus at your hospitals in Thailand.The application can be downloaded from https://www.amass.website This is a repository of the files for Kantharalak Hospital.The attached four files are: 1) The AMR surveillance report automatically generated from AMASSplus using hospital admission and microbiology data of Kantharalak Hospital in Thailand 2) Aggregated summary data in .csv format automatically generated from AMASSplus 3) Data dictionary for microbiology data file of Kantharalak Hospital (configured by the hospital to be used with the AMASSplus application) 4) Data dictionary for hospital admission data of Kantharalak Hospital (configured by the hospital to be used with the AMASSplus application) Please note that the two data dictionary files can be re-used with the data files of the hospital in the future in cases when variables names and values in the raw data remained unchanged.
DOI: 10.6084/m9.figshare.27094096.v2
title: RM-Roadmap: Professional Development Opportunities (Data Collected Through Mapping Exercise - anonymized)

description: Excel database containing the professional development opportunities mapped under the RM-Roadmap project under four categories: funding, mobility, networking, training; plus a list of existing RM Networks; data collected through a mapping exercise developed between April 2023 and July 2024.
DOI: 10.6084/m9.figshare.29100227.v1
title: Dataset for the P33-G21-H8 Integrated Energy System: Unit Parameters, Renewable Profiles, and Load Curves

description: This dataset provides the basic input data for the P33-G21-H8 integrated energy system used in the case study of the paper. It includes detailed parameters of energy units (e.g., CHP units, boilers, P2G, storage), forecasted generation profiles for wind and solar power, and hourly load curves for electricity, gas, and heat. This data supports the validation of the proposed bi-level low-carbon optimization model.
DOI: 10.6084/m9.figshare.12168078.v1
title: Effects of chronic treatment with new strains of Lactobacillus plantarum on cognitive, anxiety- and depressive-like behaviors in male mice

description: The present study evaluated the effects of chronic administration of two new strains of <i>Lactobacillus plantarum</i>, <i>L. plantarum</i> 286 (Lp 286) and <i>L. plantarum</i> 81 (Lp 81) isolated from the fermentation of cocoa (<i>Theobroma cacao</i> L.) and cupuaçu (<i>Theobroma grandiflorum</i>), respectively, on cognitive, anxiety- and depressive-like behaviors in male mice. Different groups of animals were administered (oral gavage) solutions of vehicle, Lp 286 or Lp 81 for 30 days, and animals were tested for general locomotor activity, depressive-like behavior in the forced swim test, and learning/memory and anxiety-like behavior in the plus-maze discriminative avoidance task. Treatment with the strains Lp 286 and Lp 81 did not interfere with locomotor activity or learning and memory. The Lp 286 strain exerted anti-depressant- and anxiolytic-like effects under our experimental conditions.
DOI: 10.6084/m9.figshare.14037715.v1
title: Additional file 1 of Quantitative proteomic profiling of Cervicovaginal fluid from pregnant women with term and preterm birth

description: Additional file 1: Table S1: List of all identified proteins in CVF. Table S2. List of all identified CVF proteins in previous proteomics studies and this study. Table S3. List of all quantified proteins in CVF. Table S4. List of significantly up−/down-regulated proteins in PTB compared to control group. Table S5. List of proteases identified in CVF. Table S6. List of protease inhibitors identified in CVF. Table S7. List of raw data files from LC-MS/MS experiments.
DOI: 10.6084/m9.figshare.19612991.v1
title: The African swine fever virus protease pS273R inhibits DNA sensing cGAS-STING pathway by targeting IKKε

description: African swine fever virus (ASFV), a large and complex cytoplasmic double-stranded DNA virus, has developed multiple strategies to evade the antiviral innate immune responses. Cytosolic DNA arising from invading ASFV is mainly detected by the cyclic GMP-AMP synthase (cGAS) and then triggers a series of innate immune responses to prevent virus invasion. However, the immune escape mechanism of ASFV remains to be fully clarified. The pS273R of ASFV is a member of the SUMO-1-specific protease family and is crucial for valid virus replication. In this study, we identified pS273R as a suppressor of cGAS-STING pathway mediated type I interferon (IFN) production by ASFV genomic open reading frame screening. The pS273R was further confirmed as an inhibitor of IFN production as well as its downstream antiviral genes in cGAS-STING pathway. Mechanistically, pS273R greatly decreased the cGAS-STING signaling by targeting IKKε but not TBK1, and pS273R was found to disturb the interaction between IKKε and STING through its interaction with IKKε. Further, mutational analyses revealed that pS273R antagonized the cGAS-STING pathway by enzyme catalytic activity, which might affect the IKKε sumoylation state required for the interaction with STING. In summary, our results revealed for the first time that pS273R acts as an obvious negative regulator of cGAS-STING pathway by targeting IKKε via its enzymatic activity, which shows a new immune evasion mechanism of ASFV.
DOI: 10.6084/m9.figshare.23607576.v1
title: patient17.rar

description: A Patient with fundus images that taken by Ret-cam.
DOI: 10.6084/m9.figshare.7881146.v1
title: Code and summary results for: Cox regression increases power to detect genotype-phenotype associations in genomic studies using the electronic health record

description: Zip files contain (1) parameter and definition files and scripts and (2) summary-level results.
DOI: 10.6084/m9.figshare.8629853.v1
title: genes_annotations

description: A mapping between different identifiers of genes<br>
DOI: 10.6084/m9.figshare.28093580.v3
title: Chromosome-level genome assembly of the estuarine <i>Corbicula flumnalis</i> from the Yangtze River estuary in China

description: The chromosome-level genome assembly and annotation of the estuarine <i>Corbicula flumnalis</i> from the Yangtze River estuary in China
DOI: 10.6084/m9.figshare.c.3808039_d3.v1
title: NOAA Pacific RAMP fish SPC 2010-2017 dataset

description: Each data record in the datafile is an estimated count and size of fish taxa from a single observer (DIVER) at a single survey at a particular site. Each record includes an observation type (see method description) along with metadata that relates to the specific species observed. Each data record has a unique numeric identifier (SITEVISITID) that relates to the single survey where it was collected. A collection of records from a single survey belong to a site (SITE). Typically a site contains data records from the two replicate surveys, which collected at the same point in time (with two divers surveying adjacent survey cylinders). Meta-data on benthic habitat, site location and sampling date relate to all data records within the same site.