cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/vdhz3yngcr.1
title: In the 2016 Louisiana flood, damage data of 30 sites were selected

description: By integrating disaster-related data from multiple sources, this study provides a comprehensive understanding of disaster occurrence patterns, their scope, and specific needs of affected areas, thus offering a scientific basis for emergency response and resource allocation. The dataset includes detailed information on 30 specific affected locations from the 2016 Louisiana floods, capturing real data from three websites and databases（https://www.emdat.be/；https://www.gdacs.org/；https://reliefweb.int/）, such as geographic coordinates (longitude and latitude), numbers of collapsed and severely damaged buildings, fatalities and missing persons, population density, and proportions of children and pregnant women. Specific source codes of these data can be found in the Word document. However, data on the types and quantities of emergency supplies at each disaster site were unavailable, so we randomly generated these two sets of data. Based on Solomon's dataset, we also defined the latest arrival times and service durations for each disaster location's time window. This dataset helps deepen our understanding of local impacts from specific disaster events, supports detailed analysis of affected areas’ unique needs and rescue challenges, and facilitates the development of more effective and practical emergency supply distribution strategies.
These data can support various types of research and applications: (1) Following a disaster, rescue agencies can rapidly develop response plans and efficiently allocate rescue teams and resources based on information such as structural damage, casualties, and supply needs. (2) Understanding the supply requirements and demographic characteristics of different affected locations helps optimize the distribution of emergency resources, ensuring limited resources effectively meet people's needs. (3) Analysis of historical disaster data can identify vulnerable regions and high-risk disaster types, providing valuable insights for disaster prevention and mitigation planning. (4) Analyzing records of supply distribution, rescue response times, and feedback from affected populations can highlight shortcomings in rescue operations, providing lessons to improve future rescue strategies, enhance methods, and increase overall efficiency and quality.
DOI: 10.15468/dl.epk7uf
title: Occurrence Download

description: A dataset containing 43381 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is one of (Europe, Asia, Africa)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Broussonetia papyrifera (L.) L'Hér. ex Vent."
 ]
}

 The dataset includes 43381 records from 330 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017125-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/xbzd2fjd3p.1
title: Sapodilla(Manilkara zapota) Fruit: A Comprehensive Approach for Agricultural Automation

description: Sapodilla (Manilkara zapota), also called chickoo, is a valuable tropical fruit. It is being widely cultivated in countries such as India, Mexico, and Thailand. The sapodilla is rich in both sweetness and nutrient content. The dataset contains 1518 images of sapodilla and was collected from village: Rahu, Dist: Pune, State: Maharashtra, India, during a period between 18/02/2025 and 22/02/2025. The dataset contains 4 folders namely 1) Anthracnose 2) Bacterial rot 3) Healthy 4) Sap bleeding.
DOI: 10.15468/dl.zswwzk
title: Occurrence Download

description: A dataset containing 719 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((36.47 5.924, 37.223 5.924, 37.223 6.682, 36.47 6.682, 36.47 5.924))",
 "EventDate is greater than or equal to 1900-01-01",
 "EventDate is less than or equal to 2025-03-20"
 ]
}

 The dataset includes 719 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017128-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25345/c5v698q8b
title: MassIVE MSV000097376 - Molecular architecture of excitatory synapses onto parvalbumin inhibitory interneurons
title: The brain exhibits remarkable complexity in neuronal diversity and synaptic connectivity. However, how different neuronal types customize their synapses to support specialized cellular functions is unclear. We combined cell-type-specific proximity labeling, quantitative proteomics, and super-resolution expansion microscopy to comprehensively compare excitatory synapses (e-synapses) onto inhibitory parvalbumin interneurons (PV-INs) and excitatory pyramidal neurons (PN) in the brain. We found that the molecular composition and organization of PV-IN e-synapses largely differ from PN, providing novel synapse-specific insight into brain function. We further revealed a distinct condensed AMPAR organization in PV-IN e-synapses, which is critical for PV-IN function and balanced network activity. Guided by our cell-type-specific e-synaptic proteomic profiling, we found that this condensed AMPAR organization is mediated by Stargazin, a PV-IN-enriched AMPAR auxiliary subunit. This study advances our understanding of how different neuronal types use specialized molecular mechanisms to support their function and provide a strategy to interrogate other cell-type-specific synapses.
DOI: 10.15468/dl.uuk6q6
title: Occurrence Download

description: A dataset containing 37610 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "TaxonKey is Odonata"
 ]
 },
 "HasCoordinate is TRUE",
 "Year is greater than or equal to 2010",
 "Year is less than or equal to 2013",
 "DecimalLatitude is greater than or equal to 22.33941273206357",
 "DecimalLatitude is less than or equal to 56.47802094128505",
 "DecimalLongitude is greater than or equal to -89.38477198181909",
 "DecimalLongitude is less than or equal to -51.77540380141015",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 37610 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017127-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/cps9nsmjbg.1
title: AMIGO2

description: AMIGO2 is a novel transmembrane protein involved in neuronal growth and development, playing a significant role in various cancers. This study systematically analyzed the expression of AMIGO2 in pan-cancer and its correlations with clinical prognosis, immune checkpoints, tumor purity scores, and immune infiltration by integrating databases such as TCGA, GTEx, and cBioPortal. The results showed that AMIGO2 is upregulated in most tumor tissues, and its high expression is associated with poor prognosis in certain cancers. AMIGO2 was significantly correlated with immune regulatory genes, immune checkpoints, and tumor purity scores, suggesting its potential role in the tumor immune microenvironment. Additionally, low AMIGO2 expression was linked to better responses to specific immunotherapies, such as Ipilimumab, Nivolumab, and anti-CTLA4 treatments. This study highlights the potential of AMIGO2 as a prognostic biomarker and immunotherapy target, providing new insights for precision cancer treatment.
DOI: 10.6084/m9.figshare.28625198
title: Sex drives intraspecific scaling of home range size in mammals

description: Animal home range sizes (HR) are fundamental ecological measures, encompassing the area necessary for an organism to obtain food and nonfood resources needed for survival and reproduction. Understanding variation in HR provides important insights into underlying ecological processes driving space use, contributing to species management and conservation. HR is widely known to increase allometrically at an interspecific level. However, it remains unclear whether the interspecific allometric scaling of mammals’ HR can also be consistently observed within species. Additionally, the influence of sex-specific metabolic and behavioral patterns on intraspecific variation in both HR and HR scaling is not well understood. To address this knowledge gap, we GPS-tracked 475 individuals across Brazil, encompassing 18 mammal species. We estimated individuals’ HR and modeled intraspecific variation in HR against body mass and sex, while controlling for habitat quality and phylogenetic relationships. Males used larger areas and displayed steeper HR scaling than females. While males showed a positive allometric scaling similar to interspecific findings reported in the literature (exponent = 1.23), females’ body mass had no statistically discernible effect on HR. Our findings suggest that sex-related metabolic and behavioral traits influence space use across mammals. In general, males have greater energetic and evolutionary incentives to expand their HR with increasing BM, as well as more physical capacity to do so, compared to females. We highlight that traditional studies on HR and, especially, HR scaling that disregard individual sex may, in reality, reflect an average of two distinct patterns, while failing to accurately represent either one.
DOI: 10.17632/szwfc6kvt8.1
title: Carbon and nitrogen input fluxes and recycling efficiencies in the Manila Subduction Zone in the South China Sea

description: Controlled by the subduction-collision system of the Neo-Tethyan tectonic domain, a large number of small marginal basins and their associated subduction zones have developed along ancient suture zones, e.g., the South China Sea (SCS) and Manila subduction zone. These marginal basins provide an example to study the carbon(C) and nitrogen(N) cycling mechanisms coupled between surface reservoirs and the deep mantle during the late evolution of the Neo-Tethyan tectonic domain. As fluid-active and volatile elements, C and Nn play important roles in the transport and climate between the atmosphere, hydrosphere, and lithosphere, as well as in crust-mantle material cycling. International Ocean Discovery Program (IODP) Sites U1431, U143, and U1503 recovered near-complete sequences of oceanic crust from initial spreading to relict ridges. These samples provide a suitable opportunity to quantify C and N input fluxes and recycling efficiencies in the Manila subduction zone. Here, we measure the C and N concentrations as well as isotope values of sediments and basalts from the SCS using a Thermo Scientific FLASH 2000 Elemental Analyzer and a Delta V Isotope Ratio Mass Spectrometer (Table S1). The C and N input fluxes to the Manila subduction zone (Table 1) were further calculated by combining different computational models (Table S2). Using the C and N concentrations of the SCS oceanic crust as a reference, we estimated unit C and N input fluxes to these marginal sea subduction zones associated with the Neo-Tethyan tectonic domain (Table 1). In addition, we collected ³He, Ne, Ar, N₂, and CO₂ concentrations in the emissions from the high-temperature geothermal systems associated with the Luzon arc (Table S3), which were used in the final calculations of arc-volcanic output fluxes from the Luzon arc as well as C and N cycling efficiencies in the Manila subduction zone. The above data provide new insights into the cycling of volatiles during global-scale tectonic events.
DOI: 10.17632/t2gppznf77.1
title: Biochar-modulated microbial communities improve phosphorus cycling and rice P uptake in low-P paddy soil

description: A microcosm experiment was located in the field of Shenyang Agriculture University, Liaoning Province, China (41°48′N, 123°33′E) and was conduct during wet cropping season (April 21st to October 1st) of 2021. The mean annual temperature and precipitation had shown in Fig. S1. Rice husk biochar (BC), low phosphorus content biochar (LP) and high available phosphorus content biochar (HP) were used to explore the composition, structure and different P fraction in biochar. The soil used in this experiment was collected from surface layer of south paddy field (0-20 cm) at Shenyang Agriculture University. This field continuously planted rice for more than 50 years.
DOI: 10.17632/xghjj8hmnh.1
title: Effect of shrubs on soil microbial abundance and fungi-to-bacteria ratio depends on grazing condition in semiarid grasslands

description: Our research primarily investigates how shrubs influence plant characteristics, soil properties, and microbial abundance under grazed and ungrazed conditions. This dataset includes the raw data presented in the manuscript and supplementary materials. The specific variables include plant height, plant cover, aboveground biomass, soil pH, soil bulk density, soil organic carbon, total nitrogen, total phosphorus, fungal abundance, bacterial abundance, and the fungi-to-bacteria ratio.
DOI: 10.17632/6vn96h8bfm.1
title: Non-classical two-stage pathways for the formation of amorphous ferric arsenate: Influence of temperature, pH, and stoichiometry

description: In Chang et al. we investigated the formation process of amorphous ferric arsenate with in situ SAXS and proposed two-stage non-classical pathways based on the variation of particle size and structure. Data that appear in all figures and tables in the research were listed in this dataset.
DOI: 10.17632/hvpc5cy7wf.1
title: Environment-Specific Stable Carbon Isotope Fractionation of Phytoplankton As the Basis in Better Constraining Marine Bulk Particulate Organic Carbon Dynamics and Budgets: The case study in a Temperate Coastal Ocean (the Yellow Sea)

description: Raw data for all figures and models in the manuscript by Cong-cong Guo to be published by Geochimica et Cosmochimica Acta as "Environment-Specific Stable Carbon Isotope Fractionation of Phytoplankton As the Basis in Better Constraining Marine Bulk Particulate Organic Carbon Dynamics and Budgets: The case study in a Temperate Coastal Ocean (the Yellow Sea)"
DOI: 10.17632/hvpc5cy7wf.2
title: A stable-carbon-isotope-based constrain of bulk particulate organic carbon dynamics and budgets in the Yellow Sea: Combining field surveys and isotope fractionation modeling

description: Raw data for all figures and models in the manuscript by Cong-cong Guo to be published by progress in oceanography as "A stable-carbon-isotope-based constrain of bulk particulate organic carbon dynamics and budgets in the Yellow Sea: Combining field surveys and isotope fractionation modeling"
DOI: 10.17632/hp8j2ydzx7.1
title: Data UMKM Sumatera Bararat

description: Data yang bekaitan dengan penggunaan teknologi pada UMKM di Sumatera Barat
DOI: 10.5281/zenodo.15050722
title: Dataset of the package TepR (Transcription Elongation Profile in R)

description: TepR (Transcription Elongation Profile in R) is an R package designed for analyzing data from nascent RNA sequencing technologies, such as TT-seq, mNET-seq, and PRO-seq.  It calculates the probability distribution of nascent RNA sequencing signal across the gene body or transcription unit of a given gene.  By comparing this profile to a uniform signal, TepR can identify transcription attenuation sites.  Furthermore, it can detect increased or decreased transcription attenuation by comparing profiles across different conditions.  Beyond its rigorous statistical testing and high sensitivity, a key strength of TepR is its ability to resolve the elongation pattern of individual genes, including the precise location of the primary attenuation point, when present.  This capability allows users to visualize and refine genome-wide aggregated analyses, enabling the robust identification of effects specific to gene subsets.  These metrics facilitate comparisons between genes within a condition, across conditions for the same gene, or against a theoretical model of perfect uniform elongation.
DOI: 10.5281/zenodo.15050723
title: Dataset of the package TepR (Transcription Elongation Profile in R)

description: TepR (Transcription Elongation Profile in R) is an R package designed for analyzing data from nascent RNA sequencing technologies, such as TT-seq, mNET-seq, and PRO-seq.  It calculates the probability distribution of nascent RNA sequencing signal across the gene body or transcription unit of a given gene.  By comparing this profile to a uniform signal, TepR can identify transcription attenuation sites.  Furthermore, it can detect increased or decreased transcription attenuation by comparing profiles across different conditions.  Beyond its rigorous statistical testing and high sensitivity, a key strength of TepR is its ability to resolve the elongation pattern of individual genes, including the precise location of the primary attenuation point, when present.  This capability allows users to visualize and refine genome-wide aggregated analyses, enabling the robust identification of effects specific to gene subsets.  These metrics facilitate comparisons between genes within a condition, across conditions for the same gene, or against a theoretical model of perfect uniform elongation.
DOI: 10.17632/pdrg5spr5v.1
title: UMKM Dataset

description: This data is data about the results of a survey of MSMEs in West Sumatra which is made in excel format. The data consists of the demographics of respondents and the results of responses from respondents' answers to innovation in MSMEs and the performance of MSME businesses in West Sumatra.
DOI: 10.17632/38jfdr8pd9
title: Sequence of dmaW amplicons from the fungus Periglandula ipomoeae extracted from its host plant Ipomoea asarifolia

description: Sequence of dmaW amplicons from the fungus Periglandula ipomoeae extracted from different parts of its host plant Ipomoea asarifolia
Yanisa Olaranont, Alyssa B. Stewart, Wisuwat Songnuan and Paweena Traiperm

Summary of the work
Ergot alkaloids are renowned for their pharmacological significance and were historically attributed to fungal symbioses with cereal crops and grasses. Recent research uncovered a symbiotic relationship between the fungus Periglandula ipomoea and Ipomoea asarifolia (Convolvulaceae), revealing a new source for ergot alkaloid synthesis. While past studies have emphasized the storage of both the fungus and alkaloids in leaves and seeds, recent work has found they also occur in other plant parts. This study aimed to examine expression of the dmaW gene, which plays a crucial role in ergot alkaloid biosynthesis, and to quantify ergot alkaloid levels across various organs and growth stages of I. asarifolia. Our findings revealed the highest levels of dmaW gene expression in young seeds and young leaves, whereas the highest ergine concentrations were found in mature leaves followed by young leaves. In light of previous studies, we propose three hypotheses to reconcile these conflicting results: the possibility of an inefficient ergot alkaloid biosynthesis pathway, the possibility that different types of ergot alkaloids are produced, and the existence of an ergot alkaloid translocation system within the plant. Furthermore, ergine concentration and ergot alkaloid biosynthesis gene expression were detected in stems, roots, and flowers, indicating that ergot alkaloids are produced and accumulated in all studied parts of I. asarifolia, rather than being solely confined to the leaves and seeds, as previously reported. Overall, our study reveals that ergot alkaloids are produced and accumulated in most parts of I. asarifolia, suggesting a plant-wide biosynthesis and potential transport system, challenging the previous belief that biosynthesis was confined to glandular trichomes on leaves.

Provided data:
- Raw dmaW sequence from all parts of the plant (Raw dmaW sequence.docx)
- Sequence from young leaf (001_IA_YL_cDNA.fasta)
- Sequence from mature leaf (002_IA_ML_cDNA.fasta)
- Sequence from stem (003_IA_S_cDNA.fasta)
- Sequence from root (004_IA_R_cDNA.fasta)
- Sequence from flower bud (005_IA_FB_cDNA.fasta)
- Sequence from mature bud (006_IA_MF_cDNA.fasta)
- Sequence from young seed (007_IA_YS_cDNA.fasta)
- Sequence from mature seed (008_IA_MS_cDNA.fasta)
DOI: 10.17632/38jfdr8pd9.1
title: Sequence of dmaW amplicons from the fungus Periglandula ipomoeae extracted from its host plant Ipomoea asarifolia

description: Sequence of dmaW amplicons from the fungus Periglandula ipomoeae extracted from different parts of its host plant Ipomoea asarifolia
Yanisa Olaranont, Alyssa B. Stewart, Wisuwat Songnuan and Paweena Traiperm

Summary of the work
Ergot alkaloids are renowned for their pharmacological significance and were historically attributed to fungal symbioses with cereal crops and grasses. Recent research uncovered a symbiotic relationship between the fungus Periglandula ipomoea and Ipomoea asarifolia (Convolvulaceae), revealing a new source for ergot alkaloid synthesis. While past studies have emphasized the storage of both the fungus and alkaloids in leaves and seeds, recent work has found they also occur in other plant parts. This study aimed to examine expression of the dmaW gene, which plays a crucial role in ergot alkaloid biosynthesis, and to quantify ergot alkaloid levels across various organs and growth stages of I. asarifolia. Our findings revealed the highest levels of dmaW gene expression in young seeds and young leaves, whereas the highest ergine concentrations were found in mature leaves followed by young leaves. In light of previous studies, we propose three hypotheses to reconcile these conflicting results: the possibility of an inefficient ergot alkaloid biosynthesis pathway, the possibility that different types of ergot alkaloids are produced, and the existence of an ergot alkaloid translocation system within the plant. Furthermore, ergine concentration and ergot alkaloid biosynthesis gene expression were detected in stems, roots, and flowers, indicating that ergot alkaloids are produced and accumulated in all studied parts of I. asarifolia, rather than being solely confined to the leaves and seeds, as previously reported. Overall, our study reveals that ergot alkaloids are produced and accumulated in most parts of I. asarifolia, suggesting a plant-wide biosynthesis and potential transport system, challenging the previous belief that biosynthesis was confined to glandular trichomes on leaves.

Provided data:
- Raw dmaW sequence from all parts of the plant (Raw dmaW sequence.docx)
- Sequence from young leaf (001_IA_YL_cDNA.fasta)
- Sequence from mature leaf (002_IA_ML_cDNA.fasta)
- Sequence from stem (003_IA_S_cDNA.fasta)
- Sequence from root (004_IA_R_cDNA.fasta)
- Sequence from flower bud (005_IA_FB_cDNA.fasta)
- Sequence from mature bud (006_IA_MF_cDNA.fasta)
- Sequence from young seed (007_IA_YS_cDNA.fasta)
- Sequence from mature seed (008_IA_MS_cDNA.fasta)
DOI: 10.17632/gsrr4pr746
title: Biological activity and molecular mechanism of Origanum onites and Ocimum gratissimum plant essential oils against Haemaphysalis doenitzi (Acari: Ixodidae)

description: ATP-binding cassette sub-family E member 1 [Haemaphysalis doenitzi]
DOI: 10.17632/gsrr4pr746.1
title: Biological activity and molecular mechanism of Origanum onites and Ocimum gratissimum plant essential oils against Haemaphysalis doenitzi (Acari: Ixodidae)

description: ATP-binding cassette sub-family E member 1 [Haemaphysalis doenitzi]
DOI: 10.15468/dl.zu6tfd
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Uruguay",
 "DatasetKey is iNaturalist Research-grade Observations",
 "OccurrenceStatus is Present",
 "TaxonKey is Erythrolamprus almadensis (Wagler, 1824)"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017130-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.