cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.9t63pj
title: Occurrence Download

description: A dataset containing 602 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pleurophora anomala",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 602 records from 59 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007664-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4ufs3g
title: Occurrence Download

description: A dataset containing 91 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "Geometry POLYGON((-67 44.82,-65.5 44.82,-65.5 46,-67 46,-67 44.82))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "IucnRedListCategory is VU",
 "OccurrenceStatus is Present",
 "TaxonKey is Fringillidae",
 "Year 2013-2023"
 ]
}

 The dataset includes 91 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007665-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13140/rg.2.2.30811.63527
title: References with poster at IQAC, DU Students Research Conference, University of Dhaka, Dhaka, Bangladesh, January 29 2026
DOI: 10.6084/m9.figshare.29619314
title: Network Analysis Based Stream Classification - NetConUS Stream Dataset

description: Stream classification is essential for understanding ecosystem diversity and guiding conservation efforts, especially given the increasing impacts of land and riverscape modification in the United States. Existing stream classification does not utilize the network connectivity of streams, while network connectivity directly affects the movement of water, nutrients, sediments, and aquatic species throughout a watershed. Hence, accurately classifying streams based on the connectivity of the stream networks is critical for effective management and biodiversity protection. To address this problem, we developed a robust framework and dataset that incorporates a Network Connectivity-based stream classification system for the conterminous United States (NetConUS), utilizing the National Hydrography Dataset Plus version 2 (NHD). We have validated the developed stream classification using Bayesian Neural Networks (BNNs) to account for uncertainty in the Network connectivity classes. The dataset captures the structural roles of stream segments within their watersheds, facilitating a deeper understanding of stream dynamics for improved estimation of population-, community-, and ecosystem-level processes throughout the conterminous US riverine networks.
DOI: 10.6084/m9.figshare.29619314.v1
title: NetConUS Stream Dataset

description: Stream classification is essential for understanding ecosystem diversity and guiding conservation efforts, especially given the increasing impacts of land and riverscape modification in the United States. Existing stream classification does not utilize the network connectivity of streams, while network connectivity directly affects the movement of water, nutrients, sediments, and aquatic species throughout a watershed. Hence, accurately classifying streams based on the connectivity of the stream networks is critical for effective management and biodiversity protection. To address this problem, we developed a robust framework and dataset that incorporates a Network Connectivity-based stream classification system for the conterminous United States (NetConUS), utilizing the National Hydrography Dataset Plus version 2 (NHD). We have validated the developed stream classification using Bayesian Neural Networks (BNNs) to account for uncertainty in the Network connectivity classes. The dataset captures the structural roles of stream segments within their watersheds, facilitating a deeper understanding of stream dynamics for improved estimation of population-, community-, and ecosystem-level processes throughout the conterminous US riverine networks.
DOI: 10.6084/m9.figshare.29619314.v2
title: Network Analysis Based Stream Classification - NetConUS Stream Dataset

description: Stream classification is essential for understanding ecosystem diversity and guiding conservation efforts, especially given the increasing impacts of land and riverscape modification in the United States. Existing stream classification does not utilize the network connectivity of streams, while network connectivity directly affects the movement of water, nutrients, sediments, and aquatic species throughout a watershed. Hence, accurately classifying streams based on the connectivity of the stream networks is critical for effective management and biodiversity protection. To address this problem, we developed a robust framework and dataset that incorporates a Network Connectivity-based stream classification system for the conterminous United States (NetConUS), utilizing the National Hydrography Dataset Plus version 2 (NHD). We have validated the developed stream classification using Bayesian Neural Networks (BNNs) to account for uncertainty in the Network connectivity classes. The dataset captures the structural roles of stream segments within their watersheds, facilitating a deeper understanding of stream dynamics for improved estimation of population-, community-, and ecosystem-level processes throughout the conterminous US riverine networks.
DOI: 10.6084/m9.figshare.31233139
title: Sales Data

description: Transaction-level sales dataset for retail analysis
DOI: 10.6084/m9.figshare.31233139.v1
title: Sales Data

description: Transaction-level sales dataset for retail analysis
DOI: 10.15468/dl.ba69tg
title: Occurrence Download

description: A dataset containing 5462 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Carex humilis, Carex humilis, Carex humilis)",
 "Year is greater than or equal to 1900",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 5462 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007666-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dd.6ckxy5
title: WSP_GBIF_Collector_CA0006659.3585

description: Generated from API search results. Project CA0006659.3585 - Bamfield line relocation
DOI: 10.15468/dl.49pun8
title: Occurrence Download

description: A dataset containing 4770 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Carex lasiocarpa)",
 "Year is greater than or equal to 1900",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 4770 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007667-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9jbway
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pleurophora patagonica",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 8 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007669-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wemhfw
title: Occurrence Download

description: A dataset containing 56467950 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "MediaType is Image",
 "OccurrenceStatus is Present",
 "TaxonKey is Tracheophyta"
 ]
}

 The dataset includes 56467950 records from 716 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007600-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ky7jnx
title: Occurrence Download

description: A dataset containing 433353 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Aphididae"
 ]
}

 The dataset includes 433353 records from 677 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007608-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5061/dryad.50g8322
title: Data from: Alteration of nitrous oxide emissions from floodplain soils by aggregate size, litter accumulation and plant–soil interactions

description: Semi-terrestrial soils such as floodplain soils are considered potential
 hot spots of nitrous oxide (N2O) emissions. Microhabitats in the soil –
 such as within and outside of aggregates, in the detritusphere, and/or in
 the rhizosphere – are considered to promote and preserve specific redox
 conditions. Yet our understanding of the relative effects of such
 microhabitats and their interactions on N2O production and consumption in
 soils is still incomplete. Therefore, we assessed the effect of aggregate
 size, buried leaf litter, and plant–soil interactions on the occurrence of
 enhanced N2O emissions under simulated flooding/drying conditions in a
 mesocosm experiment. We used two model soils with equivalent structure and
 texture, comprising macroaggregates (4000–250 µm) or microaggregates
 (&lt;250 µm) from a N-rich floodplain soil. These model soils were
 planted with basket willow (Salix viminalis L.), mixed with leaf litter or
 left unamended. After 48 h of flooding, a period of enhanced N2O emissions
 occurred in all treatments. The unamended model soils with macroaggregates
 emitted significantly more N2O during this period than those with
 microaggregates. Litter addition modulated the temporal pattern of the N2O
 emission, leading to short-term peaks of high N2O fluxes at the beginning
 of the period of enhanced N2O emission. The presence of S. viminalis
 strongly suppressed the N2O emission from the macroaggregate model soil,
 masking any aggregate-size effect. Integration of the flux data with data
 on soil bulk density, moisture, redox potential and soil solution
 composition suggest that macroaggregates provided more favourable
 conditions for spatially coupled nitrification–denitrification, which are
 particularly conducive to net N2O production. The local increase in
 organic carbon in the detritusphere appears to first stimulate N2O
 emissions; but ultimately, respiration of the surplus organic matter
 shifts the system towards redox conditions where N2O reduction to N2
 dominates. Similarly, the low emission rates in the planted soils can be
 best explained by root exudation of low-molecular-weight organic
 substances supporting complete denitrification in the anoxic zones, but
 also by the inhibition of denitrification in the zone, where rhizosphere
 aeration takes place. Together, our experiments highlight the importance
 of microhabitat formation in regulating oxygen (O2) content and the
 completeness of denitrification in soils during drying after saturation.
 Moreover, they will help to better predict the conditions under which hot
 spots, and “hot moments”, of enhanced N2O emissions are most likely to
 occur in hydrologically dynamic soil systems like floodplain soils.
description: Environmental Data (Ley
 et al. 2018)Ley_et_al_2018.csv
DOI: 10.5061/dryad.q8kb971
title: Data from: Thermal regime drives a latitudinal gradient in morphology and life history in a livebearing fish

description: Within-species diversity is often driven by changing selective regimes
 along environmental gradients. Here, we provide a direct test of the
 environmental factors underlying phenotypic diversity across the wide
 native distribution of eastern mosquitofish (Gambusia holbrooki). We
 investigated life-history and body-shape divergence (including multiple
 measures of body size) across more than 14 degrees of latitude in North
 America, and used Akaike’s information criterion-based model selection to
 determine the relative contributions of thermal regime, population
 densities and habitat productivity as potential drivers of latitudinal
 phenotypic variation. We found thermal regime to be the most important
 driver of large-scale latitudinal phenotypic patterns: populations in
 colder climates with greater seasonality and range in temperature
 exhibited larger body size, larger reproductive investment coupled with
 smaller offspring size, and shallower bodies with a smaller head and more
 anterodorsally positioned pectoral fins. Nonetheless, population density
 and habitat productivity also influenced trait divergence, but independent
 of latitudinal patterns, and some variation in body shape was due to
 apparent covariation with life histories. Our study confirms thermal
 regime as an important driver of latitudinal phenotypic differentiation
 even in ectotherms, but also uncovers multiple additional factors that
 shape phenotypic diversity, emphasizing the importance of the multivariate
 approach we employed here.
description: Riesch et al 2018
 DataThe first data sheet
 provides the environmental data we measured at each site (conductivity and
 chlorophyll a) as well as the climate data we downloaded from the
 WorldClim database (Hijmans et al. 2005 International Journal of
 Climatology 25:1965–1978); the second data sheet provides all the male
 life history data; the third data sheet provides all the female life
 history data; the fourth data sheet provides all the microsatellite
 fragment lengths we used for the population genetic analyses presented in
 the online supplement of our publication.
DOI: 10.5061/dryad.dg27h
title: Data from: Color change for thermoregulation versus camouflage in free-ranging lizards

description: Animal coloration has multiple functions including thermoregulation,
 camouflage, and social signaling, and the requirements of each function
 may sometimes conflict. Many terrestrial ectotherms accommodate the
 multiple functions of color through color change. However, the relative
 importance of these functions and how color-changing species accommodate
 them when they do conflict are poorly understood because we lack data on
 color change in the wild. Here, we show that the color of individual
 radio-tracked bearded dragon lizards, Pogona vitticeps, correlates
 strongly with background color and less strongly, but significantly, with
 temperature. We found no evidence that individuals simultaneously optimize
 camouflage and thermoregulation by choosing light backgrounds when hot or
 dark backgrounds when cold. In laboratory experiments, lizards showed both
 UV-visible (300–700 nm) and near-infrared (700–2,100 nm) reflectance
 changes in response to different background and temperature treatments,
 consistent with camouflage and thermoregulatory functions, respectively,
 but with no interaction between the two. Overall, our results suggest that
 wild bearded dragons change color to improve both thermoregulation and
 camouflage but predominantly adjust for camouflage, suggesting that
 compromising camouflage may entail a greater potential immediate survival
 cost.
description: Field data_Smith et al.
 2016This file contains data
 obtained from thermal images and linearised and equalised photographs of
 lizards (combined dorsal regions) and immediate backgrounds taken in the
 wild. Luminance and chroma were calculated from RGB values as described in
 the paper.Laboratory data_Smith et
 al. 2016This file shows average
 UV-Vis, NIR reflectance spectra, and calculated Standarised Differences
 measured for both dorsal and ventral body regions of lizards for the
 laboratory experiments.
DOI: 10.5061/dryad.2pc43
title: Data from: Outcome of breast cancer in Moroccan young women correlated to clinic-pathological features, risk factors and treatment: a comparative study of 716 cases in a single institution

description: Background: Breast cancer in young women is quite uncommon and shows more
 aggressive characteristics with major disparities between worldwide
 populations. Prognosis and outcome of breast cancer in young patients are
 widely studied, but still no consensus is available. Methods: We
 retrospectively included 716 cases of breast cancer women diagnosed in
 2009 at the National Institute of Oncology of Rabat. Patients were divided
 into two groups according to their age: women aged ≤40 years (Group 1) and
 women aged &gt;40 years (Group 2). Data were recorded from patients’
 medical files and analyzed using SPSS 13.0 software (IBM). Results: Young
 patients represent 24.9% of all patients with breast cancer. The
 comparison between the two groups displayed significant differences
 regarding nulliparity (p = 0.001) and progesterone receptor negativity (p
 = 0.01). Moreover, more progression (Metastases/Relapse) was registered in
 young women as compared to older women with breast cancer (p = 0.03). The
 estimated median follow-up period was 31 months. The 5-years Event-Free
 Survival (EFS) of patients with local disease was 64.6% in young women and
 71.5% in older women with breast cancer (p = 0.04). Multivariate analysis
 in young women showed that nulliparity (HR: 7.2; 95%CI: 1.16–44.54; p =
 0.03), T3 tumors (HR: 17.39; 95%CI: 1.74–173.34; p = 0.01) and negative
 PgR status (HR: 19.85; 95%CI: 1.07–366.54; p = 0.04) can be considered as
 risk factors for poorer event free survival while hormone therapy was
 associated with better EFS (HR: 0.11; 95%CI: 0.00–0.75; p = 0.03). In
 Group 2, multivariate analysis showed that patients with inflammatory
 breast cancer, N+ status, absence of radiotherapy, absence of
 chemotherapy, and absence of hormone therapy are at increased risk of
 recurrence. Conclusions: In Morocco, breast cancer is more frequent in
 young women as compared to western countries. Breast cancer in young women
 is more aggressive and is diagnosed late, leading to an intensive
 treatment. Moreover, the main factors associated with breast cancer
 development in young women would be hormonal and reproductive status.
 Analysis of other genetic biomarkers is needed to explain the high
 prevalence of breast cancer in young women to improve breast cancer
 management in Morocco
description: Database of young and
 aged women- Slaoui Meriem
DOI: 10.5061/dryad.j7d32
title: Data from: Disentangling the pathways of land use impacts on the functional structure of fish assemblages in Amazon streams

description: Agricultural land use is a primary driver of environmental impacts on
 streams. However, the causal processes that shape these impacts operate
 through multiple pathways and at several spatial scales. This complexity
 undermines the development of more effective management approaches, and
 illustrates the need for more in-depth studies to assess the mechanisms
 that determine changes in stream biodiversity. Here we present results of
 the most comprehensive multi-scale assessment of the biological condition
 of streams in the Amazon to date, examining functional responses of fish
 assemblages to land use. We sampled fish assemblages from two large
 human-modified regions, and characterized stream conditions by physical
 habitat attributes and key landscape-change variables, including density
 of road crossings (i.e. riverscape fragmentation), deforestation, and
 agricultural intensification. Fish species were functionally characterized
 using ecomorphological traits describing feeding, locomotion, and habitat
 preferences, and these traits were used to derive indices that
 quantitatively describe the functional structure of the assemblages. Using
 structural equation modeling, we disentangled multiple drivers operating
 at different spatial scales, identifying causal pathways that
 significantly affect stream condition and the structure of the fish
 assemblages. Deforestation at catchment and riparian network scales
 altered the channel morphology and the stream bottom structure, changing
 the functional identity of assemblages. Local deforestation reduced the
 functional evenness of assemblages (i.e. increased dominance of specific
 trait combinations) mediated by expansion of aquatic vegetation cover.
 Riverscape fragmentation reduced functional richness, evenness and
 divergence, suggesting a trend toward functional homogenization and a
 reduced range of ecological niches within assemblages following the loss
 of regional connectivity. These results underscore the often-unrecognized
 importance of different land use changes, each of which can have marked
 effects on stream biodiversity. We draw on the relationships observed
 herein to suggest priorities for the improved management of stream systems
 in the multiple-use landscapes that predominate in human-modified tropical
 forests.
description: Data used in the
 modelsThis file contains the
 basic data needed to reproduce the study, including all variables used in
 the models (two fragmentation and four land cover predictors; two natural
 landscape predictors; 10 instream habitat variables; and two taxonomic and
 five functional structure indicators for the fish assemblages).
 Description of abbreviations are provided as a metadata sheet. For a
 detailed description of each variable, see the main body of the manuscript
 and the supplementary material.Data_Dryad_20170306.xlsx