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

description: A dataset containing 23045 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Libya",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 23045 records from 133 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049480-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.23728/b2share.bd0ebebfcae54e4fa34c9a6585d67d0c
title: An Effectiveness Assessment of a Knowledge-Based System for Supporting the Soundness of Digital Forensic Investigations

description: This dataset presents the results of an experiment evaluating a knowledge-based system designed to support the soundness of digital forensic investigations. The study assesses the system’s effectiveness in assisting digital forensic investigators, with a particular focus on various phases of the investigative process. A randomized controlled trial was conducted involving 60 students enrolled in an Introduction to Digital Forensics course. Participants were divided into experimental and control groups, both of which performed identical tasks. The experimental group utilized the proposed system to complete these tasks.
DOI: 10.15468/dl.3bm9hd
title: Occurrence Download

description: A dataset containing 38847 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lonicera maackii",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 38847 records from 116 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049483-250811113504898/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.29108819
title: Analytical data for "Neighborhood Disparities in Land Surface Temperature and the Role of the Built Environment: Evidence from a Major Chinese City"

description: Analytical data set for paper “Neighborhood Disparities in Land Surface Temperature and the Role of the Built Environment: Evidence from a Major Chinese City”, authored by Yang Ju (Nanjing University), Huiyan Shang (Nanjing University), Jiangang Xu (Nanjing University), Yu Huang (Nanjing University), Jinglu Song (Xi'an Jiaotong-Liverpool University), Yiwen Wang (Najing University), Ying Liang (Nanjing University), Maryia Bakhtsiyarava (Drexel University).
DOI: 10.17632/68zgy243yb.1
title: VegNet: Vegetable Image Dataset

description: This dataset comprises 6,244 high-resolution JPG images of 40 distinct vegetable varieties, collected from street stalls and local markets in Mirpur, Dhaka City, Bangladesh. Captured under natural lighting conditions using a Smartphone HD camera, the images accurately represent each vegetable’s unique visual traits—including color, texture, and shape—for reliable categorization and analysis. The dataset spans diverse varieties such as Arum Lobe, Ash Gourd, Bitter Melon, Eggplant, Tomato, and Yardlong Bean, among others, ensuring comprehensive coverage. To facilitate computational analysis, the dataset includes both original and resized versions of the images, optimized for machine learning and computer vision applications. Collected between Jan 1 and March 15, 2025, this resource supports researchers, agronomists, and data scientists in advancing vegetable classification, agricultural technology, and food security initiatives. By providing a balanced and detailed visual repository, the dataset bridges the gap between real-world variability and AI-driven agricultural solutions.
DOI: 10.17632/68zgy243yb.2
title: VegNet: Vegetable Image Dataset

description: This dataset comprises 6,244 high-resolution JPG images of 40 distinct vegetable varieties, collected from street stalls and local markets in Mirpur, Dhaka City, Bangladesh. Captured under natural lighting conditions using a Smartphone HD camera, the images accurately represent each vegetable’s unique visual traits—including color, texture, and shape—for reliable categorization and analysis. The dataset spans diverse varieties such as Arum Lobe, Ash Gourd, Bitter Melon, Eggplant, Tomato, and Yardlong Bean, among others, ensuring comprehensive coverage. To facilitate computational analysis, the dataset includes both original and resized versions of the images, optimized for machine learning and computer vision applications. Collected between Jan 1 and March 15, 2025, this resource supports researchers, agronomists, and data scientists in advancing vegetable classification, agricultural technology, and food security initiatives. By providing a balanced and detailed visual repository, the dataset bridges the gap between real-world variability and AI-driven agricultural solutions.
DOI: 10.15468/dl.pbujuk
title: Occurrence Download

description: A dataset containing 1458 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Sargassum thunbergii (Montagne ex Roth) O.Kuntze, 1893",
 "Year 1925-2025"
 ]
}

 The dataset includes 1458 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013799-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5061/dryad.m26m1t8
title: Data from: Aeschynomene chicocesariana, a striking new unifoliolate legume species from Brazilian Chapada Diamantina and its phylogenetic placement in the dalbergioid clade

description: Unifoliolate leaves are relatively rare in the species-rich dalbergioid
 clade of papilionoid legumes (Leguminosae, Papilionoideae). For the
 pantropical, diverse genus Aeschynomene (ca. 180 species), the only known
 record of unifoliolate species described so far is the savanna-inhabiting
 A. simplicifolia from Chapada dos Veadeiros in Goiás, Brazil. The current
 work provides a description, illustrations, and a distribution map of
 another unifoliolate species, Aeschynomene chicocesariana, which was newly
 discovered in the rupestrian grasslands of Chapada Diamantina in Bahia,
 Brazil. The new species readily differs from A. simplicifolia by having
 mostly single-stemmed, erect habit, leaves with considerably shorter,
 1.5–4 mm long petioles, leaflet blades densely pubescent beneath and
 glabrescent above and inconspicuously veined on both surfaces and without
 a marginal vein, and much smaller, ca. 15 × 14 mm standard petal. Bayesian
 phylogenetic analyses of DNA sequence data (nuclear ribosomal ITS/5.8S and
 the plastid genes matK and trnL intron) have unequivocally placed A.
 chicocesariana with the rest of Aeschynomene species that are
 traditionally placed within sect. Ochopodium. This result concurs with the
 shared morphology of A. chicocesariana and members of that section.
description: Supplemental Fig1
 ITSBayesian majority-rule
 consensus tree derived from the analysis of nuclear ribosomal ITS sequence
 data (83 terminals by 751 aligned sites) showing the non-monophyletic
 genus Aeschynomene and phylogenetic placement of the newly discovered
 species A. chicocesariana within sect. Ochopodium. Posterior probabilities
 from 0.5 to 1.0 are shown as color gradient from gray to black on the
 branches. GenBank accession numbers follow the terminal taxon
 labels.Supplemental Fig2
 trnLBayesian majority-rule
 consensus tree derived from the analysis of plastid trnL intron sequence
 data (67 terminals by 649 aligned sites) showing the non-monophyletic
 genus Aeschynomene and phylogenetic placement of the newly discovered
 species A. chicocesariana within sect. Ochopodium. Posterior probabilities
 from 0.5 to 1.0 are shown as color gradient from gray to black on the
 branches. GenBank accession numbers follow the terminal taxon
 labels.
DOI: 10.5061/dryad.7p0sf3n
title: Data from: Effects of landscape complexity and stand factors on arthropod communities in poplar forests

description: The arthropod communities are influenced by both local conditions and
 features of the surrounding landscape. Landscape complexity and stand
 factors may both influence arthropod communities in poplar forests, but
 the multi-scale effects of these factors on poplar defoliators and natural
 enemies are still poorly understood. We collected poplar arthropods at 30
 sampling sites within 5 forest landscapes in Xinjiang, China and assessed
 whether landscape complexity and stand factors influence species abundance
 and diversity of poplar arthropods. Landscape complexity was quantified by
 several independent metrics of landscape composition, configuration and
 connectivity at three spatial scales. We also determined the most powerful
 explanatory variables and the scale effect of each arthropod. Results
 found that landscape complexity and stand factors had different effects on
 different poplar arthropods. Landscape complexity promoted natural enemies
 at different spatial scales but inhibited poplar defoliators at the scale
 of 200 m. Specifically, abundance and diversity of all defoliators
 decreased with increasing proportion of non-host plants. Landscape
 diversity only had a negative effect on defoliator abundance. The shape
 complexity of habitat patches increased abundance of carabid beetles but
 reduced abundance of green leafhoppers and migratory locusts. The
 abundance and diversity of predators increased with increasing structural
 connectivity of forest landscape. Additionally, both abundance and
 diversity of all defoliators were positively correlated with the average
 height of herbaceous plants. Diversity of all defoliators increased with
 increasing size of host trees. The distance from sampling site to the
 nearest village positively influenced abundance and diversity of all
 predators. Therefore, maintaining complex shape and structural
 connectivity of habitat patches and keeping poplar stands away from the
 village are crucial for management of forest landscape to enhance natural
 enemies. And in order to reduce abundance of poplar defoliators poplar,
 the diversity of surrounding habitat types should be promoted within 200 m
 radii.
description: Effects of landscape
 complexity and stand factors on poplar arthropod
 communitiesOur data were collected
 in natural poplar forests across about 40 km long, which distributed on
 the southern bank of the Irtysh River in Xinjiang, China from June to July
 of 2018. This data file contain the abundance and diversity of poplar
 arthropod communities as well as landscape variables and stand
 factors.Wang-Ecology and
 Evolution-ECE-2019-04-00392.R1.xlsx
DOI: 10.5061/dryad.3s755j8
title: Data from: Body mass index, diet, physical inactivity and the incidence of dementia in one million UK women

description: Objective: To help determine whether mid-life obesity is a cause of
 dementia, and whether low BMI, low caloric intake and physical inactivity
 are causes or merely consequences of the gradual onset of dementia, we
 recorded these factors early in a large 20-year prospective study and
 related them to dementia detection rates separately during follow-up
 periods 0-4, 5-9, 10-14 and 15+ years. Methods: 1,136,846 UK women, mean
 age 56 (SD=5) years, were recruited in 1996-2001 and asked about height,
 weight, caloric intake and inactivity. They were followed until 2017 by
 electronic linkage to National Health Service records, detecting hospital
 admissions with mention of dementia. Cox regression yielded adjusted rate
 ratios (RRs) for first dementia detection during particular follow-up
 periods. Results: 15 years after the baseline survey only 1% were lost to
 follow-up and 89% remained alive with no detected dementia, of whom 18,695
 had dementia detected later, at mean age 77 (SD=4) years. Dementia
 detection during years 15+ was associated with baseline obesity (BMI 30+
 versus 20-24 kg/m2: RR=1.21, 95% CI 1.16-1.26; p&lt;0.0001), but not
 clearly with low BMI, low caloric intake or inactivity at baseline. The
 latter three factors were associated with dementia rates during the first
 decade, but these associations weakened substantially over time,
 approaching null after 15 years. Conclusions: Mid-life obesity may well be
 a cause of dementia. In contrast, behavioural changes due to preclinical
 disease could largely or wholly account for associations of low BMI, low
 caloric intake and inactivity with dementia detection during the first
 decade.
description: Supplementary
 filesContents of
 supplementary files: Additional methods 1 Flow chart of inclusions and
 exclusions Additional methods 2 Assessment of diet Additional methods 3
 Comparison of dementia rates in primary care and in hospital, for Million
 Women Study participants Table 2 Characteristics at baseline of all women
 and of women who were still alive after 15 years of follow-up Table 3
 Dementia detection rate ratios for dementia types in relation to obesity
 vs desirable BMI with 15+ years of follow-up: effect of adjustment by
 various factors Figure 7 Dementia detection rate ratio by period of
 follow-up for various dietary intakes Figure 8 Dementia detection rate
 ratio by period of follow-up for various factors in women with good or
 excellent self-rated health at baseline Figure 9 Dementia detection rate
 ratio after 15+ years of follow-up, by hospital-specified type of
 dementia: censoring women with stroke at the date of the stroke Figure 10
 Dementia detection rate ratio by period of follow-up for various factors,
 including both hospital admissions and deaths with
 dementiasupplementary
 files.zip
DOI: 10.5061/dryad.4418df1
title: Data from: Serotonin differentially affects morph-specific behavior in divergent populations of a horned beetle

description: Associations between animal weapons and corresponding aggressive behaviors
 are among the most characteristic features of species, yet at the same
 time their co-expression is itself often strongly dependent on context,
 such as male condition or population ecology. Yet the mechanisms that
 modulate associations between aggression, morphology, and biological
 context remain poorly understood. The biogenic amine serotonin has been
 shown to regulate a wide range of aggressive and morph-specific behaviors
 in diverse insect species. However, the extent to which serotonin may
 coordinate the expression of behavior with morphology across biological
 contexts remains unclear. In this study, we pharmacologically increased
 serotonin biosynthesis in males of the polyphenic beetle, Onthophagus
 taurus, and assessed how this manipulation affects both aggressive and
 non-aggressive behaviors in alternative fighter and sneaker morphs, as
 well as in males derived from rapidly diverging populations characterized
 by disparate levels of competition for mates. We find (i) that enhancing
 serotonin biosynthesis increases most measures of aggressive behaviors,
 but influences only a subset of non-aggressive behaviors, (ii) that
 similar serotonin-mediated behavioral changes manifest in both morphs
 within populations more often than just a single morph, and (iii) that
 males derived from populations subject to disparate levels of competition
 for mates have diverged in their behavioral responsiveness to serotonin
 up-regulation. Collectively, our study suggests that serotonin signaling
 plays a critical role in the regulation of male behavior and its
 evolution, including in the context of rapid, short term population
 divergence.
description: Serotonin and behavior
 in horned beetles raw data Aggressive (those
 relating to head-butts and fights) and non-aggressive behaviors observed
 between two divergent populations (North Carolina and Western Australia)
 of the horn-polyphenic (horned and hornless) dung beetle, Onthophagus
 taurus. Data file also includes body and horn size (mm), generation (F0 or
 F1+), and treatments ingested (1, 2, or 3).
DOI: 10.5061/dryad.nt561v7
title: Data from: Cognition at age 70: life course predictors and associations with brain pathologies

description: Objective: To investigate predictors of performance on a range of
 cognitive measures including the Preclinical Alzheimer Cognitive Composite
 (PACC) and test for associations between cognition and dementia biomarkers
 in Insight 46, a sub-study of the MRC National Survey of Health and
 Development. Methods: 502 individuals born in the same week in 1946
 underwent cognitive assessment at age 69-71 years, including an adapted
 version of the PACC and a test of non-verbal reasoning. Performance was
 characterised with respect to sex, childhood cognitive ability, education
 and socioeconomic position (SEP). In a sub-sample of 406
 cognitively-normal participants, associations were investigated between
 cognition and β-amyloid (Aβ) positivity (determined from Aβ-PET imaging),
 whole brain volumes, white matter hyperintensity volumes (WMHV), and
 APOE-ε4. Results: Childhood cognitive ability was strongly associated with
 cognitive scores including the PACC more than 60 years later, and there
 were independent effects of education and SEP. Sex differences were
 observed on every PACC sub-test. In cognitively-normal participants,
 Aβ-positivity and WMHV were independently associated with lower PACC
 scores, and Aβ-positivity was associated with poorer non-verbal reasoning.
 Aβ-positivity and WMHV were not associated with sex, childhood cognitive
 ability, education or SEP. Normative data for 339 cognitively-normal
 Aβ-negative participants are provided. Conclusions: This study adds to
 emerging evidence that subtle cognitive differences associated with Aβ
 deposition are detectable in older adults, at an age when dementia
 prevalence is very low. The independent associations of childhood
 cognitive ability, education and SEP with cognitive performance aged 70
 have implications for interpretation of cognitive data in later life.
description: Table e-1: Normative
 data for cognitively-normal β-amyloid-negative
 participantsThis table contains
 normative data for 339 cognitively-normal β-amyloid-negative participants
 from the Insight 46 study on the following cognitive tests: Mini Mental
 State Examination, Digit-Symbol, Logical Memory story recall, Face-Name
 Associative Memory Exam (FNAME-12).NEUROLOGY2019973891_Dryad_table.docx
DOI: 10.5061/dryad.q2t3f27
title: Data from: Repetitive DNA profiles reveal evidence of rapid genome evolution and reflect species boundaries in ground beetles

description: Genome architecture is a complex, multidimensional property of an organism
 defined by the content and spatial organization of the genome’s component
 parts. Comparative study of entire genome architecture in model organisms
 is shedding light on mechanisms underlying genome regulation, evolution,
 and diversification; but such studies require costly analytical approaches
 which make extensive comparative study impractical for most groups.
 However, lower-cost methods that measure a single architectural component
 (e.g., distribution of one class of repeats) have potential as a new data
 source for evolutionary studies insofar as that measure correlates with
 more complex biological phenomena, and for which it could serve as part of
 an explanatory framework. We investigated copy number variation (CNV)
 profiles in ribosomal DNA (rDNA) as a simple measure reflecting the
 distribution of rDNA subcomponents across the genome. We find that
 signatures present in rDNA CNV profiles strongly correlate with species
 boundaries in the breve species group of Bembidion, and vary across
 broader taxonomic sampling in Bembidion subgenus Plataphus. Profiles of
 several species show evidence of re-patterning of rDNA-like sequences
 throughout the genome, revealing evidence of rapid genome evolution
 (including among sister pairs) not evident from analysis of traditional
 data sources such as multi-gene data sets. Major re-patterning of
 rDNA-like sequences has occurred frequently within the evolutionary
 history of Plataphus. We confirm that CNV profiles represent an aspect of
 genomic architecture (i.e., the linear distribution of rDNA components
 across the genome) via fluorescence in-situ hybridization. In at least one
 species, novel rDNA-like elements are spread throughout all chromosomes.
 We discuss the potential of copy number profiles of rDNA, or other
 repeats, as a low-cost tool for incorporating signal of genomic
 architecture variation in studies of species delimitation and genome
 evolution.
description: Supplementary
 MaterialsSupplemental methods,
 figures, and tables.
DOI: 10.5061/dryad.7th5ff0
title: Data from: Association of CD14 with incident dementia and markers of brain aging and injury

description: Objective To test the hypothesis that the inflammatory marker plasma
 soluble CD14 (sCD14), associates with incident dementia and related
 endophenotypes in two community-based cohorts. Methods. Our samples
 included the prospective community-based Framingham Heart Study (FHS) and
 Cardiovascular Health Study (CHS) cohorts. Plasma sCD14 was measured at
 baseline and related to the incidence of dementia, domains of cognitive
 function, and MRI defined brain volumes. Follow-up for dementia occurred
 over a mean of 10 years (SD, 4) in the FHS and a mean of 6 years (SD, 3)
 in the CHS. Results We studied 1588 participants from the FHS (mean age
 69±6 years, 47% male,131 incident events) and 3129 participants from the
 CHS (mean age 72±5 years, 41% male, 724 incident events) for the risk of
 incident dementia. Meta-analysis across the two cohorts showed that each
 standard deviation unit increase in sCD14 was associated with a 12%
 increase in the risk of incident dementia (95% confidence interval [CI],
 1.03 to 1.23; P=0.01) following adjustments for age, sex, APOE ε4 status,
 and vascular risk factors. Higher levels of sCD14 were associated with
 various cognitive and MRI markers of accelerated brain aging in both
 cohorts and with a greater progression of brain atrophy and a decline in
 executive function in the FHS. Conclusion. sCD14 is an inflammatory marker
 related to brain atrophy, cognitive decline, and incident dementia.
description: Online Supplemental
 MaterialeTable 1. Framingham
 Heart Study cohort characteristics for the subclinical outcome study
 samples. eTable 2. Cardiovascular Health Study cohort characteristics for
 the subclinical outcome measures. eTable 3. sCD14, memory, and small
 covert infarcts in the FHS. eTable 4. Association of sCD14 with incident
 dementia adjusting for NSAID use and Model 1 covariates eTable 5.
 Association of sCD14 with incident Alzheimer’s disease dementia and
 vascular dementia. eFigure 1. Study flow diagram.PASE OS
 NEUROLOGY.pdf