cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.f5zsnn
title: Occurrence Download

description: A dataset containing 381 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Amblyscirtes aenus",
 "Year 1000-2024"
 ]
}

 The dataset includes 381 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015669-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gjjuq7
title: Occurrence Download

description: A dataset containing 653 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Azorella compacta"
 ]
}

 The dataset includes 653 records from 54 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015670-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3kghy8
title: Occurrence Download

description: A dataset containing 103 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Fabiana punensis"
 ]
}

 The dataset includes 103 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015671-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e238066v1
title: Architect of the Capitol

description: This data is used for the planning and management of Washington, D.C. by local government agencies.
DOI: 10.5281/zenodo.17154519
title: Dataset for Remote Work, Small Talk, Inclusion Study

description: This is the fully cleaned data set for our study on remote work, small talk, and inclusions
DOI: 10.5281/zenodo.17154520
title: Dataset for Remote Work, Small Talk, Inclusion Study

description: This is the fully cleaned data set for our study on remote work, small talk, and inclusions
DOI: 10.15468/dl.nqq5kd
title: Occurrence Download

description: A dataset containing 2374 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Meetnetten.be - Occupancy estimates of priority vascular plants species in Flanders, Belgium"
 ]
}

 The dataset includes 2374 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015673-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17153808
title: fixed LCA results
DOI: 10.5281/zenodo.17153809
title: fixed LCA results
DOI: 10.15468/dl.xyt49w
title: Occurrence Download

description: A dataset containing 71 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Clarkia unguiculata",
 "Country is Czechia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 71 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015676-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wran37
title: Occurrence Download

description: A dataset containing 26327 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Meetnetten.be - Population counts for dragonflies in Flanders, Belgium"
 ]
}

 The dataset includes 26327 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015674-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17154077
title: Powder Metallurgy Processed Graphite-ZrSiO4 Reinforced Fe-Cu Sintered Composites for Wind Turbine Friction Applications
DOI: 10.5281/zenodo.17154078
title: Powder Metallurgy Processed Graphite-ZrSiO4 Reinforced Fe-Cu Sintered Composites for Wind Turbine Friction Applications
DOI: 10.15468/dl.5uweuf
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Clarkia unguiculata",
 "Country is Austria",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015675-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5zgnhr
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Clarkia unguiculata",
 "Country is Denmark",
 "HasCoordinate is true"
 ]
}

 The dataset includes 13 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015677-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u25gsx
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Carinotetraodon salivator)",
 "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 6 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015678-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4mfcp8
title: Occurrence Download

description: A dataset containing 35669 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "Geometry POLYGON((-124.16581 -20.72977,-11.61763 -20.72977,-11.61763 24.27023,-124.16581 24.27023,-124.16581 -20.72977))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Pandion haliaetus"
 ]
}

 The dataset includes 35669 records from 168 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015679-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/kqny-7d17
title: "ImplicitHarmBench"

description: "This dataset is designed to evaluate Large Language Models (LLMs) in detecting contextual implicit malicious inputs. Unlike overtly harmful content, the malice in these prompts is often context-dependent, requiring specific historical or social background knowledge to be understood and identified correctly. Standard safety datasets frequently focus on universally toxic language, leaving a gap in the defense against nuanced attacks that exploit cultural context or historical events to bypass safety guardrails. The primary motivation behind this project is to address this gap by providing a high-quality, targeted dataset for developing and testing more sophisticated AI safety systems."
DOI: 10.3886/e238067
title: Bridge Undersegments

description: Line data for vehicle bridges from AASHTO Bridge Management database.
DOI: 10.3886/e238067v1
title: Bridge Undersegments

description: Line data for vehicle bridges from AASHTO Bridge Management database.
DOI: 10.5281/zenodo.17154143
title: ELM Water Table Depth Calibration Parameters

description: The domain file and surface data file that contains the finalized estimated parameters for calibrating the groundwater table depth in the Energy Exascale Earth System Model (E3SM) Land model (ELM).
DOI: 10.5281/zenodo.17154144
title: ELM Water Table Depth Calibration Parameters

description: The domain file and surface data file that contains the finalized estimated parameters for calibrating the groundwater table depth in the Energy Exascale Earth System Model (E3SM) Land model (ELM).
DOI: 10.5255/ukda-sn-858034
title: Shared Spaces: The How, When, and Why of Adolescent Intergroup Interactions Data, 2021-2024

description: The Shared Spaces Project aimed to develop a new understanding of how, when, and why young people choose to engage in interactions with people from different communities or ethnic backgrounds. More specifically, this mixed-methods project hoped to understand more about how young people experienced interactions, where they took place and the things that influenced them to interact with others. The project included three research phases that took place 2021-2024 in two locations, Belfast and Bradford. The phases were as follows:

Phase 1 (Survey of Interaction and School Experiences): The first phase of the project used surveys to help understand the factors that influence young people’s social interactions and their effects on attitudes, experiences and engagement in society. We provide a longitudinal survey dataset, from collected paper and pen survey responses from young people at three time points over the period of a school/college year. At each time point, the survey asked young people to complete measures related to their individual orientations, their social contact experiences, their social attitudes, how supportive their school/college, family and peers are of cross-group interactions and their general school/college experiences.

Phase 2 (App Survey of Everyday Interactions): The second phase involved asking young people to record everyday social interactions on a bespoke ‘contact logger’ phone app. Young people were asked to report on the interactions they had with people from different ethnic/social groups over a period of four days. This included who they interacted with, where and how positive the interactions were in general.

Phase 3 (Photovoice Exploration of Use of Social Spaces): To understand how everyday contexts support or prevent interaction, we used a participatory photography-based approach. Young people took part in a series of workshops and following training, were asked to go around their city and take photos of the places where they interact with others. They were asked to share their photos during focus group discussions and, for those who were interested, to take part in follow-up walking interviews around the city.
DOI: 10.15468/dl.b5n3k5
title: Occurrence Download

description: A dataset containing 979 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Nardostachys jatamansi"
 ]
}

 The dataset includes 979 records from 51 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015680-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bwfwg7
title: Occurrence Download

description: A dataset containing 3182 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Meetnetten.be - Population counts of priority vascular plants species in Flanders, Belgium"
 ]
}

 The dataset includes 3182 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015681-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f62ywe
title: Occurrence Download

description: A dataset containing 182 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Meetnetten.be - Sightings for Ephippiger ephippiger in Flanders, Belgium"
 ]
}

 The dataset includes 182 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015683-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ktyx94
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Anomia cytaeum",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Occurrence evidence)",
 {
 "not" : {
 "OccurrenceStatus" : [
 "is one of (Absent)"
 ]
 }
 }
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015682-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rjhnxy
title: Occurrence Download

description: A dataset containing 117 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Meetnetten.be - Sightings for Natterjack toad in Flanders, Belgium"
 ]
}

 The dataset includes 117 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015684-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17154538
title: Meta-analysis Data on Working Memory in Mathematical Difficulty

description: This repository contains the raw and coded data used in the meta-analysis examining the relationship between working memory and mathematical difficulties in children. The dataset includes study identifiers, effect sizes, sample sizes, working memory measures, and references to the original publications. All data were extracted from peer-reviewed studies and are fully anonymized at the study level.
DOI: 10.5281/zenodo.17154539
title: Meta-analysis Data on Working Memory in Mathematical Difficulty

description: This repository contains the raw and coded data used in the meta-analysis examining the relationship between working memory and mathematical difficulties in children. The dataset includes study identifiers, effect sizes, sample sizes, working memory measures, and references to the original publications. All data were extracted from peer-reviewed studies and are fully anonymized at the study level.
DOI: 10.15468/dl.9uk9dr
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Clarkia unguiculata",
 "Country is France",
 "HasCoordinate is true"
 ]
}

 The dataset includes 4 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015685-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17144859
title: Bacillus velezensis Bac-9, isolated from kefir, possess antifungal activity and improves resistance of tomato plant against whitefly Bemisia tabaci

description: Bac_9 genome information associated with the manuscript "Bacillus velezensis Bac-9, isolated from kefir, possess antifungal activity and improves resistance of tomato plant against whitefly Bemisia tabaci"

This information is associated with the BioSample SAMN50192864 deposited in NCBI

Associated files

#BAC_9 genome sequence assembly in fasta formatBAC_9_assembly.fa

#BAC_9_genome annotated genome: BAC_9_genome_aa.faa                     -->    protein sequencesBAC_9_genome_annotations.gff    -->    genome in gff formatBAC_9_genome_genbank.gbk        -->    genome in genbank formatBAC_9_genome.embl                       -->    genome in embl formatBAC_9_genome.fna                          -->    nucleotide sequences

#final_contigs. Contains the contigs in fasta formatBAC_9_final_contigs.fa

#reads. Contains the sequence reads R1 and R2 in fastq formatBAC_9_S55_R1_001.fastqBAC_9_S55_R2_001.fastq
DOI: 10.5281/zenodo.17144860
title: Bacillus velezensis Bac-9, isolated from kefir, possess antifungal activity and improves resistance of tomato plant against whitefly Bemisia tabaci

description: Bac_9 genome information associated with the manuscript "Bacillus velezensis Bac-9, isolated from kefir, possess antifungal activity and improves resistance of tomato plant against whitefly Bemisia tabaci"

This information is associated with the BioSample SAMN50192864 deposited in NCBI

Associated files

#BAC_9 genome sequence assembly in fasta formatBAC_9_assembly.fa

#BAC_9_genome annotated genome: BAC_9_genome_aa.faa                     -->    protein sequencesBAC_9_genome_annotations.gff    -->    genome in gff formatBAC_9_genome_genbank.gbk        -->    genome in genbank formatBAC_9_genome.embl                       -->    genome in embl formatBAC_9_genome.fna                          -->    nucleotide sequences

#final_contigs. Contains the contigs in fasta formatBAC_9_final_contigs.fa

#reads. Contains the sequence reads R1 and R2 in fastq formatBAC_9_S55_R1_001.fastqBAC_9_S55_R2_001.fastq
DOI: 10.3886/e238066
title: Architect of the Capitol

description: This data is used for the planning and management of Washington, D.C. by local government agencies.
DOI: 10.3886/e238066v2
title: Architect of the Capitol

description: This data is used for the planning and management of Washington, D.C. by local government agencies.
DOI: 10.6084/m9.figshare.27024322
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: 10.6084/m9.figshare.27024322.v3
title: Bee behaviour and artificial flower data from: "Bumblebees learn to use peripheral taste to predict the presence of nectar in flowers"

description: <b>Abtract</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 peripheral organs such as their antennae. 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 with rewards. Here, we characterize the ability of adult worker 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 food. We show that bumblebees have antennal GRNs sensitive to sugars, salts, and bitter compounds and that they can use surface chemistry differences detected by their periphery to learn about the presence or absence of flower rewards in a free-flight assay. Naïve bumblebees showed no instinctual preferences toward or against any surface chemistry tested. Bumblebees performed best when sucrose surface cues were associated with sucrose reward, 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>