cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.27024322.v4
title: Bee behaviour and artificial flower data from: “Bumblebees learn to use antennal and tarsal taste to predict the presence of nectar rewards in flowers”

description: <b>Abstract</b>Learning cues such as tastes associated with palatable food is an important mechanism animals have for foraging optimally. Insects can use gustatory receptor neurons (GRNs) in their mouthparts to detect nutrients and toxins, but they also taste compounds using sensilla on other organs such as their antennae and tarsi. Bees are adept at learning to associate floral traits with the presence of nectar rewards, but few studies have examined how they incorporate gustatory information from their antennae or tarsi detected on flower surfaces. Here, we characterize the ability of bumblebees (Bombus terrestris) to taste sugar, salt, and bitter compounds using their antennae and then tested whether they could use this sensory information to associate it with rewarding artificial floral displays. We show that bumblebees have antennal GRNs sensitive to sugars, salts, and bitter compounds and can use surface chemistry differences detected by their antennae and/or tarsi to learn about the presence or absence of flower rewards in a free-flight assay. Naïve bumblebees showed no detected spontaneous preferences toward or against any surface chemistry tested. Bumblebees performed best when sucrose surface cues were associated with rewards, but they could learn to associate any cue with the presence or absence of sucrose solution. Interestingly, the bees found it more difficult to associate quinine surface chemistry with the presence of reward than its absence. These results indicate that bees have the potential to learn to associate another floral trait – chemicals on the surfaces of petals - with the quality of floral rewards.<b>Guide for Use</b><br>Raw data, data plotted in figures as well as the annotated <i>R</i><i> </i>code and csv data files necessary to generate graphical figures and repeat analysis of disc analysis and bee behaviour data from “Bumblebees can use peripheral taste of surfaces as foraging cue” can be found in this data repository. Full details on data collection are available in that publication.<br>In this repository you will find 4 '.zip' files. These zip files contain csv data files, images and <i>R</i> code as appropriate. Along with each zip. file you will find a pdf 'instructions' file. this pdf provides further details on the corresponding zip file contents and use. These zip and pdf files are as follows:'Disc spectrometry.zip' & 'Instructions for disc spectrometry.pdf''Disk SEM.zip' & 'Instructions for Disc SEM.pdf''Surface Preference.zip' & 'Instructions for Surface Preference.pdf''Surface DiffCon.zip' & 'Instructions for surface diffcon.pdf'<br><br>
DOI: 10.6073/pasta/2fdda90e256483e0361bd6ceaf05244f
title: Red knot occurrence, prey density, island morphology, and climate change in the Virginia Barrier Islands (2009-2023)

description: Global climate change is reshaping dynamic coastal ecosystems, with uncertain consequences for migratory shorebirds such as the federally threatened red knot (Calidris canutus rufa) that rely on coastal staging sites during migration. Understanding how sea-level rise and changing climate drivers affect red knot foraging ecology is critical for informing conservation and management at coastal staging sites. We integrated long-term biological, geomorphological, and climatological data to examine the direct and indirect pathways influencing red knots and their prey at intertidal foraging sites on the Virginia Barrier Islands during spring migration (May 21 - 28, 2009-2023). Using piecewise structural equation modeling, we tested hypothesized two causal networks linking 1) red knot occurrence and 2) densities of their main invertebrate prey to habitat characteristics, island morphology, geomorphic change, and climate drivers of ecosystem change. Red knots were indirectly affected by geomorphic change and climate drivers through bottom-up effects on invertebrate communities mediated by island morphology. Accelerated shoreline change narrowed islands, reducing invertebrate density and richness and indirectly decreasing red knot occurrence. Storms interacted with global climate oscillations to drive erosion or accretion of beaches, with variable effects on invertebrate density and red knot occurrence. Invertebrate responses were taxon-specific: shoreline change directly increased blue mussel density but indirectly reduced coquina clam and crustacean densities by narrowing island width, while storms impacts on crustacean density were mediated by beach width. Our findings suggest that accelerated ecosystem change under future climate scenarios may alter foraging conditions for red knots and other migratory shorebirds in the Virginia Barrier Islands, with broader implications for long-term population resilience.
DOI: 10.15468/dl.ejyjtb
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Clarkia unguiculata",
 "Country is India",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015686-250914085247600/datasets/export for details.
DOI: 10.15468/dl.btuyt8
title: Occurrence Download

description: A dataset containing 46 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Clarkia unguiculata",
 "Country is Netherlands",
 "HasCoordinate is true"
 ]
}

 The dataset includes 46 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015687-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3gfaxa
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Laimosemion jauaperi)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015688-250914085247600/datasets/export for details.
DOI: 10.15468/dl.34sfyg
title: Occurrence Download

description: A dataset containing 812 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Ipomoea heterotricha"
 ]
}

 The dataset includes 812 records from 49 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015690-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z68wwh
title: Occurrence Download

description: A dataset containing 112 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Meetnetten.be - Sightings for Stenobothrus stigmaticus in Flanders, Belgium"
 ]
}

 The dataset includes 112 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015691-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5286/isis.e.rb2420118-1
title: Neutron imaging to inform multi-scale simulations of catalytic reactors

description: Large-scale simulations of chemical reactions and processes are invaluable for optimising product yields, lowering energetic and financial costs, and ensuring the safe operation of a catalytic process. As such simulations, such as Computational Fluid Dynamics (CFD), are vital for developing more sustainable chemical processes. In this proposal we will use neutron imaging to give unique experimental insights into the diffusion of propane within a packed bed of a SAPO-34 catalyst to create unique multiscale reactor models.
Optimising catalytic industrial processes, and accelerating scale up of emerging technologies, relies heavily on in silico predictions and simulations, the precision of which depends on the accuracy of computational models. In particular, computational fluid dynamics (CFD) predicts variations in local flows and temperatures, within a catalytic fixed bed reactor, over a wide length scale (mm to m), while simultaneously kinetic models predict product and reagent concentrations. Systems involving impenetrable particles, considering surface reactions only, are facile to model. Porous catalysts require an extra level of complexity, as both bulk mass-transfer and pore-diffusion must be considered. Very few techniques can give this level of detail, making it an ideal method for validating, testing, and training CFD simulations for greater accuracy.
DOI: 10.5286/isis.e.rb2420118
title: Neutron imaging to inform multi-scale simulations of catalytic reactors

description: Large-scale simulations of chemical reactions and processes are invaluable for optimising product yields, lowering energetic and financial costs, and ensuring the safe operation of a catalytic process. As such simulations, such as Computational Fluid Dynamics (CFD), are vital for developing more sustainable chemical processes. In this proposal we will use neutron imaging to give unique experimental insights into the diffusion of propane within a packed bed of a SAPO-34 catalyst to create unique multiscale reactor models.
Optimising catalytic industrial processes, and accelerating scale up of emerging technologies, relies heavily on in silico predictions and simulations, the precision of which depends on the accuracy of computational models. In particular, computational fluid dynamics (CFD) predicts variations in local flows and temperatures, within a catalytic fixed bed reactor, over a wide length scale (mm to m), while simultaneously kinetic models predict product and reagent concentrations. Systems involving impenetrable particles, considering surface reactions only, are facile to model. Porous catalysts require an extra level of complexity, as both bulk mass-transfer and pore-diffusion must be considered. Very few techniques can give this level of detail, making it an ideal method for validating, testing, and training CFD simulations for greater accuracy.
DOI: 10.15468/dl.gzkc8b
title: Occurrence Download

description: A dataset containing 4061 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Meetnetten.be - Site counts for butterflies in Flanders, Belgium"
 ]
}

 The dataset includes 4061 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015692-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p2jdkm
title: Occurrence Download

description: A dataset containing 250407 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Bombus fervidus, Bombus occidentalis, Bombus griseocollis, Bombus huntii, Bombus mixtus, Bombus centralis, Bombus bifarius)"
 ]
}

 The dataset includes 250407 records from 115 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015662-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17153560
title: Family Communication Counseling as a Veritable Tool for Marital Adjustment in Post-COVID-19 Nigeria
DOI: 10.15468/dl.php8bk
title: Occurrence Download

description: A dataset containing 73 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Meetnetten.be - Transects for Eresus sandaliatus in Flanders, Belgium"
 ]
}

 The dataset includes 73 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015694-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25574/26846
title: Chandra X-ray Observatory ObsId 26846

description: Chandra's Crucial Role in Identifying a Robust and Practical Accretion-Rate Indicator for Quasars
DOI: 10.15468/dl.nttcqc
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Clarkia unguiculata",
 "Country is Russian Federation",
 "HasCoordinate is true"
 ]
}

 The dataset includes 10 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015695-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j8g9xt
title: Occurrence Download

description: A dataset containing 5962 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Anomia ephippium",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Occurrence evidence)",
 {
 "not" : {
 "OccurrenceStatus" : [
 "is one of (Absent)"
 ]
 }
 }
 ]
}

 The dataset includes 5962 records from 149 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015693-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g4kfb2
title: Occurrence Download

description: A dataset containing 17149 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ctenidae"
 ]
}

 The dataset includes 17149 records from 141 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015697-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.28esss
title: Occurrence Download

description: A dataset containing 55 records in GBIF matching the query:
SELECT
 kingdom,
 kingdomkey,
 phylum,
 phylumkey,
 class,
 classkey,
 "order",
 orderkey,
 family,
 familykey,
 genus,
 genuskey,
 species,
 specieskey,
 "year",
 IF(ISNULL(familykey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY familykey, "year")) familycount,
 IF(ISNULL(genuskey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY genuskey, "year")) genuscount,
 COUNT(*) occurrences
FROM
 occurrence
WHERE
 occurrence.countrycode = 'CO'
 AND GBIF_WITHIN('POLYGON((-124.16581 -20.72977,-11.61763 -20.72977,-11.61763 24.27023,-124.16581 24.27023,-124.16581 -20.72977))', occurrence.decimallatitude, occurrence.decimallongitude) = TRUE
 AND occurrence.hascoordinate = TRUE
 AND occurrence.hasgeospatialissues = FALSE
 AND occurrence.occurrencestatus = 'PRESENT'
 AND (CAST(occurrence.taxonkey AS INTEGER) = 2480726 OR CAST(occurrence.acceptedtaxonkey AS INTEGER) = 2480726 OR CAST(occurrence.kingdomkey AS INTEGER) = 2480726 OR CAST(occurrence.phylumkey AS INTEGER) = 2480726 OR CAST(occurrence.classkey AS INTEGER) = 2480726 OR CAST(occurrence.orderkey AS INTEGER) = 2480726 OR CAST(occurrence.familykey AS INTEGER) = 2480726 OR CAST(occurrence.genuskey AS INTEGER) = 2480726 OR CAST(occurrence.specieskey AS INTEGER) = 2480726)
 AND NOT GBIF_STRINGARRAYCONTAINS(occurrence.issue, 'TAXON_MATCH_FUZZY', TRUE)
 AND (occurrence.distancefromcentroidinmeters &gt;= 2000.0 OR occurrence.distancefromcentroidinmeters IS NULL)
 AND NOT occurrence.basisofrecord IN ('FOSSIL_SPECIMEN', 'LIVING_SPECIMEN')
 AND (occurrence.specieskey IS NOT NULL AND occurrence."year" IS NOT NULL)
GROUP BY
 occurrence.kingdom,
 occurrence.kingdomkey,
 occurrence.phylum,
 occurrence.phylumkey,
 occurrence.class,
 occurrence.classkey,
 occurrence."order",
 occurrence.orderkey,
 occurrence.family,
 occurrence.familykey,
 occurrence.genus,
 occurrence.genuskey,
 occurrence.species,
 occurrence.specieskey,
 occurrence."year"

 The dataset's 55 records were derived from 161 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015660-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bqkyw5
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Labeobarbus macrolepis)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 5 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015700-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xxg9pp
title: Occurrence Download

description: A dataset containing 36 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Clarkia unguiculata",
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 36 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015701-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vds3sm
title: Occurrence Download

description: A dataset containing 237227 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Machine Observation)",
 "Country is China",
 "DatasetKey is EOD – eBird Observation Dataset",
 "TaxonKey is Ardeidae"
 ]
}

 The dataset includes 237227 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015644-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4vnyag
title: Occurrence Download

description: A dataset containing 111 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Pseudopoecilia"
 ]
}

 The dataset includes 111 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015702-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ueykt5
title: Occurrence Download

description: A dataset containing 162 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Anomia peruviana",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Occurrence evidence)",
 {
 "not" : {
 "OccurrenceStatus" : [
 "is one of (Absent)"
 ]
 }
 }
 ]
}

 The dataset includes 162 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015705-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5f82u8
title: Occurrence Download

description: A dataset containing 3118 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Meetnetten.be - Transects for fire salamanders in Flanders, Belgium"
 ]
}

 The dataset includes 3118 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015704-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ekfjf7
title: Occurrence Download

description: A dataset containing 9469 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Meetnetten.be - Transects for dragonflies in Flanders, Belgium"
 ]
}

 The dataset includes 9469 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015703-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e238069
title: Alcohol License Business Locations

description: Alcohol License Business Locations
DOI: 10.3886/e238069v1
title: Alcohol License Business Locations

description: Alcohol License Business Locations
DOI: 10.15468/dl.wwjsf4
title: Occurrence Download

description: A dataset containing 2298874691 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Aves"
 ]
}

 The dataset includes 2298874691 records from 15812 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015510-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.szphja
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Achnanthes subaffinis Cholnoky, 1959",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((20.7576 -24.3688,20.529 -24.0715,20.509 -24.0715,20.509 -28.5786,25.5395 -28.5786,25.5395 -24.0715,25.1306 -24.0715,24.9333 -24.4571,23.8962 -24.2467,22.8065 -24.295,22.3719 -24.7207,22.2323 -25.547,22.0387 -25.7188,21.7833 -25.7784,21.5388 -25.7113,21.3553 -25.5415,20.7576 -24.3688))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054642-250525065834625/datasets/export for details.