cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.r9m2a6
title: Occurrence Download

description: A dataset containing 2307336 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Blera humeralis (Williston, 1882), Trypeta flaveola Coquillett, 1899, Podabrus pruinosus LeConte, 1851, Esperia sulphurella (Fabricius, 1775), Grammoptera militaris (Chevrolat, 1855), Gnophaela vermiculata Grote, 1863, Chrysocharis phytomyzivora Hansson, 1987, Chrysocharis longicoxa Hansson, 1987, Grus canadensis (Linnaeus, 1758), Euplectrus bobwhartoni Hansson, 2015, Tyora ornata (Kirkaldy, 1908), Synnympha perfrenis Meyrick, 1920, Arhopala pseudocentaurus, Eulemur macaco (Linnaeus, 1766), Erynnis juvenalis (Fabricius, 1793), Hesperis matronalis L., Rhabdospora scrophulariae (Peck) Kuntze, Platytetranychus thujae (McGregor, 1950), Okanagana georgi Heath & Sanborn, 2007, Megastigmus amicorum Boucek, 1969, Macromesus americanus Hedqvist, 1960, Xanthisthisa tarsispina (Warren, 1901), Schausinna affinis Aurivillius, 1910, Heteronygmia flavescens Holland, 1893, Ariathisa semiluna Hampson, 1909, Toxomerus jussiaeae Vigé, 1939, Omiodes continuatalis Wallengren, 1860, Conocephalus upoluensis (Karny, 1907), Scaphytopius irroratus (Van Duzee, 1910), Gnathium francilloni Kirby, 1818, Acmaeodera decipiens LeConte, 1866, Microcyclus ulei (Henn.) Arx, Mylothris yulei Butler, 1897, Lepidochelys kempii Garman, 1880, Galeocerdo cuvier (Péron & Lesueur, 1822), Mylothris ertli Suffert, 1904, Rhodinia fugax Butler, 1877, Azatrephes paradisea Butler, 1877, Gymnoscelis tibialis (Moore, 1887), Miltochrista excelsa Daniel, 1952, Labdia stibogramma Meyrick, 1924, Corgatha implexata Walker, 1862, Eumasia testata (Meyrick, 1911), Comocritis circulata (Meyrick, 1918), Phyllonorycter hibiscina (Vári, 1961), Acontia carnescens Hampson, 1910, Adoxophyes honmai Yasuda, 1998, Xanthodes transversa Guenée, 1852, Synanthedon citrura (Meyrick, 1927), Lacipa quadripunctata Dewitz, 1881)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2307336 records from 1407 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002061-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5bx3m6
title: Occurrence Download

description: A dataset containing 1422 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is one of (Africa, South America)",
 "TaxonKey is Francoaceae"
 ]
}

 The dataset includes 1422 records from 53 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017865-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qj6vj7
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lineus subcingulatus",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017867-251025141854904/datasets/export for details.
DOI: 10.15468/dl.surkzk
title: Occurrence Download

description: A dataset containing 1008 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Machine Observation)",
 "Country is Italy",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Corvus frugilegus",
 "Year 2020-2025"
 ]
}

 The dataset includes 1008 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017868-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pqn6xg
title: Occurrence Download

description: A dataset containing 5950 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Tremarctos ornatus",
 "Year 1851-2016"
 ]
}

 The dataset includes 5950 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017866-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.28gsk6
title: Occurrence Download

description: A dataset containing 332282 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is one of (Phylica rigidifolia, Phylica meyeri, Rubus geoides, Rubus microdontus, Rubus tumulorum, Dianthus aculeatus, Rubus adenoleucus, Berkheya dregei, Rubus polonicus, Eryngium bithynicum, Najas horrida, Lyrocarpa coulteri, Tecticornia enodis, Rubus ferrezii, Sedum hispanicum, Sedum ursi, Phylica leipoldtii, Amyema linophylla, Goodenia elderi, Dianthus kremeri, Dianthus myrtinervius, Dianthus pungens, Dianthus zonatus, Rubus flaccidus, Rubus integribasis, Rubus solvensis, Dianthus jacobsii, Eryngium pseudojunceum, Eryngium sparganioides, Acalypha nemorum, Acalypha neomexicana, Calycopeplus collinus, Glechoma hirsuta, Pancratium maritimum, Triglochin bulbosa, Onobrychis argentea, Oxalis nortieri, Oxalis oregana, Oxalis stenoptera, Oxalis lawsonii, Oxalis levis, Oxalis strigosa, Geissorhiza lewisiae, Rubus phyllophorus, Rubus polyanthemus, Oxalis petricola, Dielitzia tysonii, Tecticornia willisii, Geissorhiza darlingensis, Geissorhiza uliginosa, Triglochin buchenaui, Mathewsia linearifolia, Oxalis pycnophylla, Oxalis cathara, Oxalis bifida, Selaginella pilifera, Selaginella sertata, Sedum album, Phylica apiculata, Phylica selaginoides, Phylica reversa, Phylica thunbergiana, Claytonia obovata, Rubus armipotens, Rubus cupanianus, Rubus orthostachyoides, Rubus palmensis, Rubus patulus, Rubus silvaticus, Sedum anglicum, Calligonum azel, Biscutella pichiana, Siphonodon australis, Dianthus oliastrae, Phylica lasiantha, Geissorhiza arenicola, Goodenia dimorpha, Goodenia havilandi, Goodenia lineata, Goodenia purpurascens, Dianthus nodosus, Rubus weizensis, Dianthus leucophoeniceus, Goodenia gibbosa, Eryngium ternatum, Acalypha langiana, Acalypha saxicola, Physopsis spicata, Pancratium trianthum, Gasteria baylissiana, Paspalum hartwegianum, Oxalis pallens, Oxalis leipoldtii, Oxalis eckloniana, Oxalis suavis, Prangos scabrifolia, Goodenia turleyae, Biscutella frutescens, Biscutella mauritanica)",
 "Year is greater than or equal to 1950"
 ]
}

 The dataset includes 332282 records from 1666 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017834-251025141854904/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.12250073.v1
title: Figure 3 - Biofilm Viability (CFU).xlsx

description: RAW Data from the paper "<b>Cell death and biomass reduction in biofilms of multidrug resistant extended spectrum β-lactamase-producing uropathogenic <i>Escherichia coli</i> isolates by 1,8-cineole</b>" from Plos One.
DOI: 10.6084/m9.figshare.25661262.v1
title: Event-Based SaliencyData related to the paper:C. Simon Chane, E. Niebur, R. Benosman and S.-H. Ieng, “An event-based implementation of saliency-based visual attention for rapid scene analysis”, submitted to IEEE Transactions on Cognitive and Developmental Systems, under revision.

description: Selective attention is an essential mechanism to filter sensory input and to select only its most important components, allowing the capacity-limited cognitive structures of the brain to process them in detail. The saliency map model, originally developed to understand the process of selective attention in the primate visual system, has also been extensively used in computer vision. Due to the wide-spread use of frame-based video, this is how dynamic input from non-stationary scenes is commonly implemented in saliency maps. However, the temporal structure of this input modality is very different from that of the primate visual system. Retinal input to the brain is massively parallel, local rather than frame-based, asynchronous rather than synchronous, and transmitted in the form of discrete events, neuronal action potentials (spikes). These features are captured by event-based cameras. We show that a computational saliency model can be obtained organically from such vision sensors, at minimal computational cost. We assess the performance of the model by comparing its predictions with the distribution of overt attention (fixations) of human observers, and we make available an event-based dataset that can be used as ground truth for future studies.
DOI: 10.6084/m9.figshare.28004366.v1
title: The interspecific variation in the defensive flower closure of <i>Drosera</i> (Droseraceae) is related to the herbivory pressure

description: Rapid plant movements in response to mechanical stimulation have long captivated mainstream interest. The flowers of <i>Drosera</i> species, notably studied for their defensive closure upon touch, protect their ovules from the specialist herbivore <i>Buckleria paludum</i> caterpillar. Although several species within <i>Drosera</i> exhibit variation in the speed of flower closure, the evolutionary and ecological contexts of these differences remain unclear. We hypothesized that the interspecific variation in flower closure speed has evolved in response to differing levels of herbivory pressure. Using <i>Drosera rotundifolia</i> and <i>D. tokaiensis</i>, we investigated the relationships between flower closure speed, effectiveness in ovule defense, herbivory pressure in nature, and the potential cost of flower closure. Our results indicate that <i>D. tokaiensis</i>, which exhibits faster flower closure than<i> D. rotundifolia</i>, more effectively reduces ovule damage due to <i>B. paludum</i> feeding attempts. Field surveys revealed that <i>D. tokaiensis</i> experiences higher herbivory pressure, likely due to its preference for drier microhabitats, which may influence the evolution of its rapid closure response. These findings enhance our understanding of the ecological and evolutionary factors driving the diversification of rapid plant movements and contribute to the emerging field of plant behavioral ecology.
DOI: 10.6084/m9.figshare.24431857.v2
title: Spatial explicit estimates of carbon stocks in the coastal blue carbon ecosystems across China

description: For the first time, we present spatially explicit estimates of soil organic carbon stocks (SOCS), aboveground and belowground living biomass carbon stocks (AGBC and BGBC) in BCEs across China, using data-driven methods based on a total of 1,670 soil measurements of SOCS and SOC and 1,229 samples of living biomass.
DOI: 10.6084/m9.figshare.28197497.v1
title: Data from: <b>NeoFrugivory: A comprehensive database for frugivory interactions and functional traits in the Neotropics</b>

description: Frugivory plays a crucial role in shaping Neotropical ecosystems, influencing plant dispersal, community dynamics, and ecosystem function. Despite its ecological significance, a systematic understanding of frugivore-fruit interactions spanning the entire Neotropical realm has been lacking. Therefore, we compiled the NeoFrugivory database, which addresses this gap by synthesizing data from a wide range of sources, including peer-reviewed literature, field studies, and existing databases. NeoFrugivory represents a comprehensive compilation of 10,175 unique frugivory interactions across the Neotropical region, the most diverse in terms of vertebrate frugivores, and consolidates information from 419 studies spanning from 1967 to 2023. It includes 2,375 plant species and 758 terrestrial vertebrate species. In addition to documenting frugivory interactions, NeoFrugivory includes information on functional traits for both plants and vertebrates, such as body weight, diet, fruit morphology, and seed characteristics. The database encompasses diverse terrestrial vertebrate taxa including species belonging to taxonomic groups such as Primates, Chiroptera, Birds, Artiodactyla/Perissodactyla, Reptilia, Carnivora, Marsupialia, and Rodentia. By providing a centralized repository of frugivory interactions, NeoFrugivory facilitates comprehensive analyses of ecological networks, evolutionary patterns, and ecosystem dynamics across the Neotropics, and NeoFrugivory provides a unique resource for researchers interested in exploring the intricate dynamics of plant-animal frugivory interactions in the Neotropics. This database enables researchers to explore the ecological roles of different frugivore taxa, identify keystone species, assess the resilience of mutualistic networks, and evaluate the impacts of environmental change on fruit-frugivore interactions. Furthermore, NeoFrugivory serves as a valuable resource for conservation practitioners, supporting the design and implementation of targeted conservation strategies aimed at preserving biodiversity and ecosystem function in the Neotropical region. Overall, NeoFrugivory represents a significant advancement in our understanding of frugivory dynamics in the Neotropics and provides a foundation for future research and conservation efforts in this ecologically diverse and critically important region.
DOI: 10.6084/m9.figshare.8340842.v1
title: Sequencing Data

description: Raw sequencing data in bam format. No modification have been done on the files except that they are split to the IonXpress index in the forward primer.<br>
DOI: 10.6084/m9.figshare.7356452.v1
title: Anopheles stephensi APL1 SHAMAN repository

description: This repository includes all data files necessary to reproduce the results of bacterial differential abundance analysis in Anopheles stephensi depleted of APL1 (Mitri et al.) using the SHAMAN workflow. Step by step SHAMAN guide in "How to use SHAMAN workflow".<br>
DOI: 10.6084/m9.figshare.19499672.v1
title: patches and local annotations, slide 056, zoom 248x248 um2

description: patches and local annotations: data for slide with ID of the last 3 characters of the file name: local annotations in csv format and a folder with patches at zoom level indicated at the 6th character of the file name
DOI: 10.6084/m9.figshare.28278620.v1
title: Dataset from the effects of the frequency of a low concentration isoflavone dose on fescue toxicosis in beef cattle

description: Dataset from the effects of the frequency of a low concentration isoflavone dose on fescue toxicosis in beef cattle
DOI: 10.6084/m9.figshare.17139755.v1
title: Control Sub011

description: EEG and ET mat format data of one control student Sub011 in ABT and CCT experiments.
DOI: 10.6084/m9.figshare.13218482.v2
title: Ntrk_Act_Entrectinib.log

description: Docking data for NTRK1 (TrkA) wildtype and mutantsType I (active conformation of TrkA) docked with entrectinib<br>
DOI: 10.6084/m9.figshare.5035775.v2
title: Datas of Disease Patterns

description: 1.the "dingxiang_datas.xls"contains all the original data which is crawling from DingXiang forum, and also the word segmentation result for each medical record in the dataset.<br>2.the "pmi_new_words.txt" is the result of new medical word found by calculating mutual information, and the "new_medical_dict.txt" is the updated dictionary which we have used for word segmentation.<br>3.the "structure_medical_record.txt" is the structured text after the word segmentation for original data, which contains the symptoms and diseases in each medical record，and the symptom word frequency is showed in "wordfreq.txt".<br>4.the"0.3_disease-disease_rules.txt"、"0.3_symptom-disease_rules.txt"、"0.3_symptom-symptom_rules.txt"are association rules mined from the dataset which h-confidence threshold is set 0.3 and support threshold is set 0.0001.<br>5.the "network_data.txt" contains the data for building the symptom-disease bipartite network.<br>6.the "network_communities.csv" describes the communities in which each disease belongs.<br>p.s. if you encounter a "d", it means the word is a disease description vocabulary, and "z" or "s" represents a symptom description vocabulary.
DOI: 10.6084/m9.figshare.24995795.v3
title: AAA级

description: 该链接用于共享北京和上海两地建筑功能分类的结果和相关数据。基于AmAP数据源的建筑等高线向量数据，利用POI数据和OSM道路数据，得到北京和上海两地建筑的功能分类结果，分析了两城市建筑类别和景观格局的差异。
DOI: 10.6084/m9.figshare.8313056.v1
title: Supplementary Material for: Frequency of Hypoglycaemia after Different Bariatric Surgical Procedures

description: <b><i>Objectives:</i></b> The frequency of postprandial hypoglycaemia after different operative procedures of bariatric surgery (BS) is unknown, although this complication is potentially dangerous. Predictors and severity of hypoglycaemia after Roux-en-Y gastric bypass (RYGB), sleeve gastrectomy, and gastric banding were investigated in a large prospective study. <b><i>Methods:</i></b> This study was performed at an excellence centre for BS at a tertiary care institution. Data of 333 patients (mean BMI: 44.9 ± 9.6 kg/m<sup>2</sup>; mean age: 40 ± 10 years; 80.7% women) were analysed in a prospective study with a 2-year observation period after BS. All patients underwent a 2-hour oral glucose tolerance test (OGTT) with measurements of blood glucose (BG) and insulin. For the purpose of this study, hypoglycaemia was defined as a post-challenge BG &lt;2.8 mmol/L during the OGTT. <b><i>Results:</i></b> 72 (25.6%) of 281 patients showed post-challenge hypoglycaemia after surgery. Hypoglycaemia was different after various procedures: 32.6% of patients after RYGB, 22.6% after sleeve gastrectomy, but only 2.3% after gastric banding had hypoglycaemia. In the whole group, patients with hypoglycaemia had lost more weight (<i>p</i> = 0.013), had a slightly greater decrease in BMI (<i>p</i> = 0.037), a greater change in 2-hour post-challenge BG (<i>p</i> = 0.001), and a smaller change in 1-hour post-challenge insulin (<i>p</i> = 0.004) compared to patients without hypoglycaemia. <b><i>Conclusion:</i></b> This prospective study shows a higher prevalence of severe hypoglycaemia (25.6%) after BS than anticipated from retrospective registers. A systematic evaluation of glucose and insulin levels by OGTT 2 years post-surgery may help to identify patients at increased risk for symptomatic and asymptomatic hypoglycaemia.
DOI: 10.6084/m9.figshare.15046509.v1
title: A Data-Driven Functional Mapping of the Anterior Temporal Lobes

description: Niftii files of the ATL parcels at each level of the functional hierarchy. From Persichetti et al., Journal of Neuroscience, 2021.
DOI: 10.6084/m9.figshare.14538111.v1
title: Orthoptic examination vs standard diplopia testing in patients with orbital floor blowour fracture

description: Two methods for diagnosing ocular motility disorder (the traditional test for binocular diplopia using a moving pencil or finger and the full orthoptic examination) were compared in patients with orbital floor blowout fracture. This dataset describes the results of individual tests.<br>
DOI: 10.6084/m9.figshare.22269457.v1
title: agri_soybeans.tif

description: soybeans straw map
DOI: 10.6084/m9.figshare.27950523.v1
title: <b>Table </b><b>1</b><b>: Types of Sentiment</b><b> Classification</b><b>Table </b><b>2</b><b>: Types of Sentiment</b><b> </b><b>Analysis Techniques/Algorithms</b><b>Table 3: Literature Review Summary Table</b>

description: In the digital era, sentiment analysis—also referred to as opinion mining or emotion AI—is a key tool for determining client sentiment. This paper offers a thorough overview of the most recent methods, uses, and difficulties in sentiment analysis. It includes a range of strategies, including deep learning models, sentiment lexicons, machine learning techniques, and algorithms. The vast range of applications in marketing, managing brand reputation, analyzing customer feedback, analyzing political sentiment, and improving customer service are all covered in this essay. Also covered are the difficulties with sentiment analysis, including sarcasm recognition, linguistic nuance, linguistic and cultural differences, as well as data imbalance and bias. Researchers and practitioners can enhance sentiment analysis methods and create more precise models in this quickly developing field by tackling these issues.
DOI: 10.6084/m9.figshare.12577838.v1
title: JVASP-66257 to JVASP-67104

description: JARVIS-DFT input/output files
DOI: 10.6084/m9.figshare.5120701.v1
title: Supplementary Material for: <i>DTNBP1, NRG1, DAOA</i>, <i>DAO</i> and <i>GRM3</i> Polymorphisms and Schizophrenia: An Association Study

description: <i>Background:</i> Several studies of the dystrobrevin-binding protein 1 gene <i>(DTNBP1)</i>, neuregulin 1 <i>(NRG1)</i>, <i>D</i>-amino-acid oxidase <i>(DAO)</i>, <i>DAO</i> activator <i>(DAOA, G72)</i>, and metabotropic glutamate receptor 3 <i>(GRM3)</i> genes have suggested an association between variants of these genes and schizophrenia. <i>Methods:</i> In a replication attempt, single-nucleotide polymorphisms of the <i>DTNBP1, NRG1, DAO, DAOA, </i>and<i> GRM3 </i>genes were analyzed in three independent Scandinavian schizophrenia case-control samples. <i>Results:</i> One <i>DTNBP1 </i>and three <i>GRM3</i> single-nucleotide polymorphisms showed nominal significant associations to the disease. However, after correction for multiple testing, there were no statistically significant allele, genotype or haplotype case-control differences. <i>Conclusions:</i> The present Scandinavian results do not verify previous associations between the analyzed <i>DTNBP1, NRG1, DAO, DAOA, </i>and<i> GRM3 </i>gene polymorphisms and schizophrenia. Additional studies and meta-analyses are warranted to shed further light on these relationships.
DOI: 10.6084/m9.figshare.5455006.v1
title: Neuromuscular performance - Influence of platinum harmonized textile on neuromuscular, systemic and subjective recovery.xlsx

description: Neuromuscular performance data in terms of torque data
DOI: 10.6084/m9.figshare.23283578.v1
title: Microcystis

description: Vacuolate Microcystis-like Chl a-specific IOPs for Deffs 3, 4, 5, 6 micron, and intracellular chl a densities of 2, 5 and 8 kg per m3. IOPs derived from measured in vivo absorption and modelled using a two-layered spherical geometry.