cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.25996036.v1
title: Database total ecosystem carbon stocks of tropical peat forest and greenhouse gas emissions from their disturbance

description: Tropical peat forests are key ecosystems for conservation and restoration with respect to natural solutions to the climate crisis yet they remain under threat of becoming significant sources of greenhouse gas emissions due to widespread deforestation and land cover change. There is a strong need for accurate quantification of carbon stocks and emissions at scales relevant for participation in carbon markets and nationally determined contributions. Based upon analyses of 125 forests in 4 continents, there was a a broad range in peat depths (20 to 1414 cm) with a mean total ecosystem carbon stock (TECS ) of 2137 Mg C/ha (range of 172 to 9379 Mg C/ha). Among the 47 sampled sites known to be tidally-influenced (i.e., blue carbon ecosystems), TECS ranged widely, from 206 to 5591 Mg C/ha with a mean of 1979 Mg C/ha. Those sites with deep peats (&gt; 7 m depth) have a mean TECS of 4620 ± 395 Mg C/ha and we know of no ecosystems with an equivalent ecosystem carbon stock. Peat soils composed a mean of 86% of TECS, and peat depths were strongly correlated with soil C stocks at continental and global scales (R<sup>2</sup> &gt;0.80) suggesting inventories that include measurement of peat depth can accurately estimate C stocks. Degradation of peat landscapes comes with a high ecological and social costs. The social carbon costs to future generations associated with the conversion of tropical peat forests to oil palm plantations is conservatively estimated to 9 times the value of the palm oil generated from the conversion. Such costs and values of the tropical peat forests of the world underscore the importance of the conservation and restoration of these wetlands for future generations -an important element of sustainability.
DOI: 10.17632/7wh9xvvmgk
title: OpenScience Slovenia document metadata dataset

description: The OpenScience Slovenia metadata dataset contains metadata entries for Slovenian public domain academic documents which include undergraduate and postgraduate theses, research and professional articles, along with other academic document types. The data within the dataset was collected as a part of the establishment of the Slovenian Open-Access Infrastructure which defined a unified document collection process and cataloguing for universities in Slovenia within the infrastructure repositories. The data was collected from several already established but separate library systems in Slovenia and merged into a single metadata scheme using metadata deduplication and merging techniques. It consists of text and numerical fields, representing attributes that describe documents. These attributes include document titles, keywords, abstracts, typologies, authors, issue years and other identifiers such as URL and UDC. The potential of this dataset lies especially in text mining and text classification tasks and can also be used in development or benchmarking of content-based recommender systems on real-world data.
DOI: 10.17632/bhdznzyycw
title: facial emotion

description: The data in files of "面部情绪", "行为" and block 1 were used in experiment 1. The data in new folder was experiment 2. These data were used to analyse the effect of facial emotion and trustworthy behavior on decision making. H1: Participants will invest significantly more in trustworthy players than in untrustworthy players. H2: The facial emotion of players will affect the investment amount of individuals. Happy facial emotion will receive more investment amount, while angry facial emotion will receive less investment amount. H3: When facial emotion and behavioural information are incongruent, participants are more inclined to rely on behavioural information to make trust choices. H4: The arousal of facial emotion influences participants’ trust choices. Players with high-arousal happy facial emotion will receive more investment than those with low-arousal happy facial emotion. H5: Women will invest less in players than men.
DOI: 10.6084/m9.figshare.22310090.v1
title: Expression of the cellular prion protein by mast cells in the human carotid body

description: Prion diseases are fatal neurologic disorders that can be transmitted by blood transfusion. The route for neuroinvasion following exposure to infected blood is not known. Carotid bodies (CBs) are specialized chemosensitive structures that detect the concentration of blood gasses and provide feedback for the neural control of respiration. Sensory cells of the CB are highly perfused and densely innervated by nerves that are synaptically connected to the brainstem and thoracic spinal cord, known to be areas of early prion deposition following oral infection. Given their direct exposure to blood and neural connections to central nervous system (CNS) areas involved in prion neuroinvasion, we sought to determine if there were cells in the human CB that express the cellular prion protein (PrP<sup>C</sup>), a characteristic that would support CBs serving as a route for prion neuroinvasion. We collected CBs from cadaver donor bodies and determined that mast cells located in the carotid bodies express PrP<sup>C</sup> and that these cells are in close proximity to blood vessels, nerves, and nerve terminals that are synaptically connected to the brainstem and spinal cord.
DOI: 10.6084/m9.figshare.24912420.v1
title: Ophiura sarsii genome annotation

description: Ophiura sarsii genome annotation.
DOI: 10.60893/figshare.jcp.27264663.v1
title: Supplement Number 1

description: Additional calculation results
DOI: 10.17632/2vz7vtbhn2
title: Kazakhstani and Russian news corpus

description: The presented news corpora consists of 6261953 documents from open Kazakhstani and Russian news media. The dataset is presented in a form of zip archive containing 26 CSV (comma-separated values) files with the dataset split into 250 000 documents in each file. Each document (row) consists of the following fields: ID Title Text Source URL Datetime Number of views
DOI: 10.17632/fv78nbvfxy
title: RELACIÓN ENTRE EL TRÁFICO DE ARMAS Y LA ACTIVIDAD DEL CRIMEN ORGANIZADO EN GUATEMALA

description: El tráfico ilegal de armas en Guatemala es un problema que exacerba la violencia y la inseguridad en el país, afectando gravemente la estabilidad política y el desarrollo socioeconómico. Este tráfico es facilitado por la corrupción y la debilidad institucional, lo que permite que las armas lleguen a manos de grupos criminales, como pandillas y cárteles, que las usan para consolidar su poder y expandir sus actividades ilícitas. La introducción de estas armas, principalmente desde Estados Unidos y América Latina, a través de rutas que cruzan la frontera con México, intensifica los conflictos armados y desafía la gobernabilidad del Estado. Además, la corrupción endémica impide la implementación efectiva de las leyes existentes, perpetuando un ciclo de violencia que erosiona la confianza pública en las instituciones. Combatir este fenómeno requiere un enfoque integral que fortalezca las capacidades estatales y promueva la cooperación internacional para frenar el flujo de armas y restaurar el Estado de derecho en Guatemala.
DOI: 10.17632/p3v8zmps2w
title: Synthetic travel demand for Paris and Île-de-France

description: The data set contains a synthetic representation of the travel demand in the Île-de-France region around Paris. The data is structured in a database containing a list of households, and a database containing a list of persons, both with sociodemographic attributes. Furthermore, the activities and connecting trips of these persons during an average day in the region are provided, both in tabular and spatial format. While trips are described by their mode of transport, departure and arrival time, activities are characterized by their purpose (home, work, leisure, ...) and their duration. The data set was generated using an open software framework that is published alongside the data set. All input data sets (French census data, National household travel survey, tax information, ...) are publicly available as open data. Using the accompanying code it is, therefore, possible to regenerate this data at any time.
DOI: 10.6084/m9.figshare.10060241.v1
title: Database of Bed Material Load Transport in Flumes and Rivers with Fine-grained Beds

description: This database is a compilation of sediment transport data collected from laboratory flumes and rivers. Bed material load is the part of the sediment load that is both being transported by water flow in the channel, and also is found in abundance on the channel bed surface. This database is focused on the fine-grained sediment transport where bed median grain size is less than 2 mm. Particular attention is paid to the data with bed median grain size less than 250 <i>µm</i>. The compiled database includes most of published data on equilibrium bed material transport with median grain size less than 250 <i>µm</i>. Sediment is transported at equilibrium when the water flow is steady and uniform and the flow does not, in the mean, erode or deposit sediment from or to the granular channel bed; thus there is no net erosion or deposition on the channel bed. Each complete set of data includes channel width, hydraulic parameters (water discharge, water surface slope, water depth and average flow velocity), sediment characteristics (median grain size, standard deviation, concentration), temperature and bedform states. In total, the database consists of 783 field and 811 flume data sets.
DOI: 10.6084/m9.figshare.11927025.v1
title: Physician estimated vs. self-reported subjective memory in depressed patients treated with electroconvulsive therapy

description: <b>Background:</b> Subjective memory deficits are common in depression and during series of treatment with electroconvulsive therapy (ECT). There is a need for feasible assessment of memory deficit. In the Swedish National Quality Register for ECT, patients’ subjective memory function is rated by a clinician. Self-ratings would be easier to administer. <b>Objectives:</b> The aim of this study was to analyze the consistency between self-reported and physician estimated subjective memory in depressed patients treated with ECT. <b>Methods:</b> Fifty-two inpatients treated with ECT for major- or bipolar depression were recruited and 41 of them completed the study protocol. Each patient rated their own subjective memory and had it rated in an interview by a physician both before/in the beginning of the ECT series and after the ECT series. The patients’ memory was rated and self-rated with the memory item in the Comprehensive Psychopathological Rating Scale (CPRS). We then analyzed correlations, and differences in distributions, between self-reported assessment and physician estimates of patients’ subjective memory. <b>Results:</b> The correlations between the self-reported and the physician estimated ratings of subjective memory were 0.699 (<i>p</i> p <b>Conclusions:</b> Based on the results in this study, we propose that patients’ self-ratings of subjective memory in association with ECT can be used instead of a physician’s rating of patients’ subjective memory.
DOI: 10.6084/m9.figshare.12045189.v1
title: Apis MLEs classification lists

description: List of Apis MLEs and classification results
DOI: 10.6084/m9.figshare.12279353.v4
title: SmartCardData.csv

description: smart card datametro-to-bus transfer trips
DOI: 10.6084/m9.figshare.14120891.v1
title: Timor Sea Geomorphic Type Reference Sample

description: This geomorphic reference data is intended for use as a calibration and/or validation data for global scale remote sensing image based classification of coral reef areas. The data is in a vector shapefile format consisting of polygons labelled into one of thirteen coral reef geomorphic classes that include Patch Reef, Plateau, No Reef, Outer Reef Flat, Deep Water, Inner Reef Flat, Back Reef Slope, Deep Lagoon, Terrestrial Reef Flat, Shallow Lagoon, Sheltered Reef Slope, Reef Crest and Reef Slope. <b>Please cite data as:</b> Tudman, P., Borrego-Acevedo, R., Canto, R., Harris, D., Kennedy, E., Kovacs, E., Lyons, M., Markey, K., Murray, N., Ordonez Alvarez, A., Phinn, S., Roe, M., Roelfsema, C., Say, C., Wolff, J., Yuwono, D., Bambric, B., Fox, H., Lieb, Z., Asner , G., Knapp , D., Li, J., Harris, B., Larsen, K. & Rice, K. 2021. Timor Sea Geomorphic Type Reference Sample. University of Queensland. DOI: https://doi.org/10.6084/m9.figshare.14120891 <b>Links to supplementary information:</b> Mapping methods overview (https://allencoralatlas.org/methods/) UQ mapping team web site (https://www.rsrc.org.au/globalreef) Detailed mapping methods description by Lyons et al. (https://doi.org/10.1002/rse2.157) Detailed classification scheme description by Kennedy et al. (https://doi.org/10.1038/s41597-021-00958-z) Detailed reference creation description workflow by Roelfsema et al. (https://doi.org/10.3389/fmars.2021.643381) <b>Funding:</b> Vulcan Inc., (https://vulcan.com) Great Barrier Reef Foundation (https://www.barrierreef.org/) <b>Acknowledgement:</b> This work was initiated and funded primarily through Paul Allen Philanthropies and Vulcan Inc. as part of the Allen Coral Atlas. We acknowledge the late Paul Allen and Ruth Gates for their fundamental vision and drive to enable us to work together on this critical reef mapping problem. Project partners providing financial, service and personnel include: Planet Inc., National Geographic, University of Queensland, Arizona State University, and University of Hawai'i. Significant support has also been provided by Google Inc., Great Barrier Reef Foundation, and Trimble (Ecognition). Contributors to establishing and running the project include: Vulcan Inc. [James Deutsch, Lauren Kickam, Paulina Gerstner, Charlie Whiton, Kirk Larsen, Sarah Frias Torres, Kyle Rice, Eldan Goldenberg, Janet Greenlee]; Planet Inc. [Andrew Zolli, Trevor McDonald, Joe Mascaro, Joe Kington]; University of Queensland [Chris Roelfsema, Stuart Phinn, Emma Kennedy, Mitch Lyons, Nicholas Murray, Doddy Yuwono, Dan Harris, Eva Kovacs, Rodney Borrego, Meredith Roe, Jeremy Wolff, Kathryn Markey, Alexandra Ordonez, Chantal Say, Paul Tudman]; Arizona State University [Greg Asner, Dave Knapp, Jiwei Li, Yaping Xu, Nick Fabina, Heather D'Angelo]; and National Geographic [Helen Fox, Brianna Bambic, Brian Free, Zoe Lieb] and Great Barrier Reef Foundation [Petra Lundgren, Kirsty Bevan, Sarah Castine]. Attributions of contributed field data or maps for the reference sample creation are available at: https://allencoralatlas.org/attribution/
DOI: 10.6084/m9.figshare.26828959.v1
title: <b>Identification of causal relationship between tea, coffee and IgA nephropathy: A Mendelian randomization study with proteomic- wide analysis</b>

description: <b>Background</b><b>:</b> Tea and coffee exhibit protective effects against chronic kidney disease (CKD). Immunoglobulin A nephropathy (IgAN) represents the predominant primary glomerular disorder, primarily attributable to immune dysregulation and inflammatory processes. Both tea and coffee are recognized for their significant roles in modulating immune function and attenuating inflammatory responses. As such, it is imperative to comprehensively investigate the causal association between tea and coffee consumption and IgAN, along with elucidating the underlying mechanistic pathways.<b>Methods: </b>Summary data from genome-wide association studies (GWAS) were utilized in the present study to simulate randomized trials, investigating the causal effects of tea and coffee intake on the incidence of IgAN. Further, mediation analysis and enrichment analysis were conducted using plasma proteome data to explore the mediating pathways that confer the protective effects of tea and coffee.<b>Results: </b>Results from Mendelian randomization indicate that both tea and coffee had protective effects against the incidence of IgAN. For tea, OR = 0.996 (95% CI: 0.992 to 0.999, P = 0.022); for coffee, OR = 0.405 (95% CI: 0.228 to 0.718, P = 0.002). No evidence of pleiotropy or heterogeneity was detected. As identified by proteomics mediation analysis, there were 63 plasma proteins, including zinc finger protein 358, associated with the mediation of tea consumption's effects on IgAN. Similarly, 62 proteins, including zinc transporter 5, were identified in the mediation of coffee intake's effects on IgAN. Enrichment analysis further highlighted 14 metabolic or signalling pathways, such as the TP53 and FGFR signalling pathways, involved in mediating the protective effects of both tea and coffee against IgAN.<b>Conclusion:</b> Increased intake of tea and coffee could reduce the risk of developing IgAN. The underlying mechanisms by which tea and coffee protect IgAN were revealed, paving the way for future studies.which tea and coffee protect IgAN were revealed, paving the way for future studies.
DOI: 10.6084/m9.figshare.28838291.v1
title: Supporting Information S11: Mock IRB Evaluation Form (Japanese)

description: This file contains a mock IRB evaluation form published by Japan’s Ministry of Health, Labour and Welfare. It was used as a reference when defining provisional KPIs in this study. The document is available only in Japanese. Please note that the appropriateness or validity of the evaluation results in this form has neither been verified nor officially disclosed. Therefore, consistency between the GPT-generated outputs and the form’s evaluation results cannot be formally assessed.<br>
DOI: 10.6084/m9.figshare.28956011.v1
title: Impact of farmland-to-forest conversion on soil organic carbon depends on the initial soil organic carbon content

description: This dataset includes plant and soil data from topsoil (0-20 cm) and subsoil (60-80 cm) in farmland, coniferous forests, and broadleaved forests from Yulin, BayanNur, Wuwei, Lanzhou, Zhongwei, Wuhan, Luoyang, and Nanyang. The plant and soil data are stored in files named “data-plant” and “data-soil”, respectively. These data were collected through field sampling and laboratory analyses. They are used to study the effects and mechanisms of converting farmland to forest on soil organic carbon, particulate organic carbon, and mineral organic carbon across various climatic zones. Note: Due to human disturbances at the Zhongwei coniferous forest sample sites, the data significantly deviates from other sites. Thus, it is considered unrepresentative and is not recommended for use.
DOI: 10.6084/m9.figshare.5165401.v1
title: High-resolution near real-time drought monitoring in South Asia

description: The dataset contains district and sub-basin level precipitation, maximum and minimum temperatures. Moreover, Standardized Precipitation Index (SPI) and Standardized Precipitation Evapotranspiration Index (SPEI) data are provided from 1981 onwards.<br><br>More details can be found in the readme file.
DOI: 10.6084/m9.figshare.6014039.v1
title: SupplementaryTable3_AlfredICU

description: Supplementary table 3 for ICU paper
DOI: 10.6084/m9.figshare.9165368.v1
title: DEG results from Vaccine targets from Reverse vaccinology and subtractive genomics reveal new therapeutic targets against <i>Mycoplasma pneumoniae</i>: a causative agent of pneumonia

description: BLAST results of vaccine targets from Essential Gene Database DEG.
DOI: 10.6084/m9.figshare.25607139.v2
title: Genomic Variants, Transcriptome and Genome Annotation of I. puberulus

description: Transcriptome annotationThe transcriptome was annotated using OmicsBox v3.0.30 (BioBam, Valencia, Spain). Initially, we filtered contigs to include only those longer than 300 bp. These were then aligned against the NCBI non-redundant NR protein database for Viridiplantae using a stringent e-value cutoff of 10e−5. Further annotations were performed using InterProScan to identify protein domains, and the Kyoto Encyclopedia of Genes and Genomes (KEGG) database to map Enzyme Commission (EC) terms and associated metabolic pathways. This is a tab-delimited text file.Genome Annotation (Gene Prediction) of I. puberulus Using Haplophase 1Repetitive regions in the genome were identified and soft-masked using RepeatModeler and RepeatMasker. RNA-seq data from two individuals per sampled population of I. puberulus were aligned to the genome using BBMap to aid in genome annotation. The structural annotation was conducted using the BRAKER2 pipeline, utilizing RNA-seq data as extrinsic evidence. The process focused on the 13 largest scaffolds of the I. puberulus genome. Two files are provided here one with the annotation of all the assembled scaffolds, and a second one with only the annotation of the 13 largest, chromossome-scale scaffolds, both in GTF format.Genomic Variants of I. puberulus from RNA-Seq AnalysisThe data was generated using the STAR aligner for read mapping and the Genome Analysis Toolkit (GATK) for SNP calling and filtering. The dataset aims to provide comprehensive insights into the genetic diversity and structure of I. puberulus populations. Filtered RNA-Seq reads were aligned to the haplophase 1 (BioProject PRJNA1095439) reference genome of I. puberulus using the STAR v2.7.9 software, following a two-pass mapping strategy to enhance the accuracy of splice junction recovery and mapping. Variant calling was performed using GATK’s HaplotypeCaller, followed by variant filtration to ensure high-quality SNP discovery. Subsequent analyses for population genetic assessments were conducted using VCFtools. Quality control measures included duplicate marking, read group addition, and stringent filtering criteria for SNPs to exclude clusters and low-confidence variants. Only high-confidence, biallelic SNPs with sufficient read depth and allele frequency were retained. This dataset is in VCf format.
DOI: 10.6084/m9.figshare.9034202.v4
title: Secondary structures of rfam eukaryotic group II introns

description: Structures of eukaryotic group II introns of RFAM RF00029 family
DOI: 10.17632/rng92psg4h
title: Anthropogenic forcing has impacted precipitation variability in the North China Monsoon Marginal Region

description: The Asian Summer Monsoon (ASM) is a crucial driver of precipitation, sustaining ecological balance and socio-economic development in North China. However, the extent to which climate change has influenced this monsoonal system, leading to detectable and attributable modifications in precipitation regimes, remains unclear. Here, we present a robust annual precipitation reconstruction spanning 1770-2020, derived from tree-ring stable oxygen isotope data and a simple linear regression model in the North China Monsoon Marginal Region (NCMMR). Reconstructed precipitation and independent hydroclimatic records reveal a pronounced drying trend across the NCMMR since the 1950s. Multiple linear regression (MLR) modelling, water vapor transport analyses using ensemble means from the Community Earth System Model-Last Millennium Ensemble, and correlation analysis indicate that precipitation variability in the NCMMR is modulated by the Indian Ocean Dipole, El Niño-Southern Oscillation, Atlantic Multidecadal Oscillation, and Interdecadal Pacific Oscillation. Nevertheless, fingerprint analysis suggests that the observed precipitation decline since the 1950s is strongly associated with greenhouse gas concentrations, albeit partially offset by the effects of anthropogenic aerosol emissions and internal variability. The impact of greenhouse gas forcing on precipitation variability is expected to intensify in the coming decades.
DOI: 10.6084/m9.figshare.11870847.v1
title: Additional file 5 of Single-nucleus RNA-seq identifies Huntington disease astrocyte states

description: Additional file 5. Results of differential gene expression analysis of Bulk RNAseq controled for age and gender with log fold change threshold of 1.5