cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15131/shef.data.30675815.v1
title: Measure Your Harvest: long-term citizen-science reveals the contribution of own-growing to UK food security - dataset

description: Data supporting the findings of research by the same title. The study combined at a UK-scale: a 5-year citizen science project (Measure Your Harvest: myharvest.org.uk) collecting own-grown F&V yield data, with crop choice mapping and spatial modelling to estimate national-scale crop production in allotments, the primary areas of urban horticulture in UK cities. MYHarvest project was granted ethical approval by the Department of Animal and Plant Sciences (now School of Biosciences) of The University of Sheffield (project ref. 144905).
DOI: 10.5281/zenodo.17708792
title: Standards for transparent AI in Human Resource Management (TRANKI) – Research data

description: Disclaimer

The following data-set was collected in February 2025 for the research Project “TRANKI – Standards for transparent AI”, funded by the Hans-Böckler-Foundation (Grant No. 2022-797-2).

The goal was to assess the effects of AI literacy on the interpretation of AI-enhanced user interfaces of HR software, and how explainable AI (XAI) elements affect interpretation results. The project’s research questions were:



What approaches at the user interface level help make AI systems in human resources transparent for users?

What differences in transparency requirements and perceptions exist between employees, managers, and HR experts?


All items are included with their German labels and English translations. The translation process was automated, using LLM model mistral-medium-2508, and proof-read by the authors. Please feel free to translate further as needed.

Folder structure and file tree

📂 Tranki-data/│├── 📄 tranki_data.csv    # CSV Data set├── 📄 varnames.csv       # Variable names German├── 📄 varlabels.csv      # Variable labels German├── 📄 varnames_engl.csv  # Variable names English├── 📄 varlabels_engl.csv # Variable labels English│├── 📄 LICENSE.md         # License├── 📄 README.pdf         # Further details and instructions└── 📄 CHANGELOG.md       # Version history and changes

For detailed information and guidelines regarding the research dataset, refer to the accompanying README.pdf.
DOI: 10.5281/zenodo.17708793
title: Standards for transparent AI in Human Resource Management (TRANKI) – Research data

description: Disclaimer

The following data-set was collected in February 2025 for the research Project “TRANKI – Standards for transparent AI”, funded by the Hans-Böckler-Foundation (Grant No. 2022-797-2).

The goal was to assess the effects of AI literacy on the interpretation of AI-enhanced user interfaces of HR software, and how explainable AI (XAI) elements affect interpretation results. The project’s research questions were:



What approaches at the user interface level help make AI systems in human resources transparent for users?

What differences in transparency requirements and perceptions exist between employees, managers, and HR experts?


All items are included with their German labels and English translations. The translation process was automated, using LLM model mistral-medium-2508, and proof-read by the authors. Please feel free to translate further as needed.

Folder structure and file tree

📂 Tranki-data/│├── 📄 tranki_data.csv    # CSV Data set├── 📄 varnames.csv       # Variable names German├── 📄 varlabels.csv      # Variable labels German├── 📄 varnames_engl.csv  # Variable names English├── 📄 varlabels_engl.csv # Variable labels English│├── 📄 LICENSE.md         # License├── 📄 README.pdf         # Further details and instructions└── 📄 CHANGELOG.md       # Version history and changes

For detailed information and guidelines regarding the research dataset, refer to the accompanying README.pdf.
DOI: 10.15468/dl.kxdeue
title: Occurrence Download

description: A dataset containing 8105090 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Material sample, Material citation, Specimen, Fossil, Living Specimen, Occurrence evidence)",
 "Country is China",
 "OccurrenceStatus is Present",
 "Year 2000-2025"
 ]
}

 The dataset includes 8105090 records from 5209 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007440-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5061/dryad.3j0b1
title: Data from: Genomic variation in a widespread Neotropical bird (Xenops minutus) reveals divergence, population expansion, and gene flow

description: The demographic and phylogeographic histories of species provide insight
 into the processes responsible for generating biological diversity, and
 genomic datasets are now permitting the estimation of species histories
 with unprecedented accuracy. We used a genomic single nucleotide
 polymorphism (SNP) dataset generated using a RAD-Seq method to investigate
 the historical demography and phylogeography of a widespread lowland
 Neotropical bird (Xenops minutus). As expected, we found that prominent
 landscape features that act as dispersal barriers, such as Amazonian
 rivers and the Andes Mountains, are associated with the deepest
 phylogeographic breaks, and also that isolation by distance is limited in
 areas between these barriers. In addition, we inferred positive population
 growth for most populations and detected evidence of historical gene flow
 between populations that are now physically isolated. Although we were
 able to reconstruct the history of Xenops minutus with unprecedented
 resolution, we had difficulty conclusively relating this history to the
 landscape events implicated in many Neotropical diversification
 hypotheses. We suggest that even if many traditional diversification
 hypotheses remain untestable, investigations using genomic datasets will
 provide greater resolution of species histories in the Neotropics and
 elsewhere.
description: Xenops_UNEAK_genotype_fileRaw output from the UNEAK pipelineXenops_alignment_of_concatenated_SNPsAlignment of concatenated SNPs after re-calling genotypes using Tom White's scripts (https://github.com/mgharvey/GBS_process_Tom_White). IUPAC ambiguity codes are used for heterozygous individuals.Xenops_pairwise_geographic_distance_matrixGeographic distance matrix from SPAGeDi.
DOI: 10.25625/a2z8t8/1h794y
title: Dornburg_AF_precipitation.tab

description: Precipitation data at 1h resolution from the agroforestry station in Dornburg.
DOI: 10.25625/a2z8t8/jw6lxi
title: Vechta_MC.tab

description: Eddy covariance and meteorological data at 30 min resolution from the monocropping station in Vechta.
DOI: 10.5061/dryad.v31ms
title: Data from: A phylogenetic backbone for Bivalvia: an RNA-seq approach

description: Bivalves are an ancient and ubiquitous group of aquatic invertebrates with
 an estimated 10 000–20 000 living species. They are economically
 significant as a human food source, and ecologically important given their
 biomass and effects on communities. Their phylogenetic relationships have
 been studied for decades, and their unparalleled fossil record extends
 from the Cambrian to the Recent. Nevertheless, a robustly supported
 phylogeny of the deepest nodes, needed to fully exploit the bivalves as a
 model for testing macroevolutionary theories, is lacking. Here, we present
 the first phylogenomic approach for this important group of molluscs,
 including novel transcriptomic data for 31 bivalves obtained through an
 RNA-seq approach, and analyse these data with published genomes and
 transcriptomes of other bivalves plus outgroups. Our results provide a
 well-resolved, robust phylogenetic backbone for Bivalvia with all major
 lineages delineated, addressing long-standing questions about the
 monophyly of Protobranchia and Heterodonta, and resolving the position of
 particular groups such as Palaeoheterodonta, Archiheterodonta and
 Anomalodesmata. This now fully resolved backbone demonstrates that genomic
 approaches using hundreds of genes are feasible for resolving phylogenetic
 questions in bivalves and other animals.
description: Supermatrices [3 files],
 individual loci alignments [1377 files], and SuperQ input tree files [3
 files].Data files for: Gonzalez
 V, Andrade S, Bieler R, Collins T, Dunn C, Mikkelsen P, Taylor J, Giribet
 G. A phylogenetic backbone for Bivalvia: an RNA-seq approach. There are
 1383 files in 3 directories: Supermatrices [3 files], individual loci
 alignments [1377 files], and SuperQ input tree files [3 files]. Directory1
 "Supermatrices" contains: - Supermatrices 1, 2 and 3 for OMA (3
 files in total). Directory2 "Loci_alignments" contains: -
 Individual loci alignments used to construct supermatrices (1377 files in
 total). Directory3 "SuperQ" contains: - Tree sets used for
 SuperQ analyses for each loci per supermatrix (3 files in total). Files
 are named as follows: * Supermatrices: Supermatrix[1/2/3].nex * Tree sets
 used for SuperQ analyses: Supermatrix[1/2/3]_all_loci.trees * Individual
 loci alignments used to construct supermatrices:
 "Loci_identifier".aligned Title: Supermatrices [3 files],
 individual loci alignments [1377 files], and SuperQ input tree files [3
 files].Dryad_Data.zip
DOI: 10.25625/a2z8t8/kzctza
title: Forst_MC.tab

description: Eddy covariance and meteorological data at 30 min resolution from the monocropping station in Forst.
DOI: 10.25625/a2z8t8/wixy96
title: Dornburg_MC_precipitation.tab

description: Precipitation data at 1h resolution from the monocropping station in Dornburg.
DOI: 10.25625/a2z8t8/joeeoj
title: Forst_AF_precipitation.tab

description: Precipitation data at 1h resolution from the agroforestry station in Forst.
DOI: 10.5061/dryad.65f2k
title: Data from: Hummingbirds control hovering flight by stabilizing visual motion

description: Relatively little is known about how sensory information is used for
 controlling flight in birds. A powerful method is to immerse an animal in
 a dynamic virtual reality environment to examine behavioral responses.
 Here, we investigated the role of vision during free-flight hovering in
 hummingbirds to determine how optic flow—image movement across the
 retina—is used to control body position. We filmed hummingbirds hovering
 in front of a projection screen with the prediction that projecting moving
 patterns would disrupt hovering stability but stationary patterns would
 allow the hummingbird to stabilize position. When hovering in the presence
 of moving gratings and spirals, hummingbirds lost positional stability and
 responded to the specific orientation of the moving visual stimulus. There
 was no loss of stability with stationary versions of the same stimulus
 patterns. When exposed to a single stimulus many times or to a weakened
 stimulus that combined a moving spiral with a stationary checkerboard, the
 response to looming motion declined. However, even minimal visual motion
 was sufficient to cause a loss of positional stability despite prominent
 stationary features. Collectively, these experiments demonstrate that
 hummingbirds control hovering position by stabilizing motions in their
 visual field. The high sensitivity and persistence of this disruptive
 response is surprising, given that the hummingbird brain is highly
 specialized for sensory processing and spatial mapping, providing other
 potential mechanisms for controlling position.
description: Response to
 forward-backward, lateral, and vertical visual motionThe raw 3D traces for
 bird head position for this experiment. Analysis of these data is
 presented in figures 1 and 2 of the main article.response to forward-backward,
 lateral, and vertical visual
 motion.zipResponse to offset
 spiral centerThe raw 3D traces for
 bird head position for this experiment. Analysis of these data is
 presented in figure 3 of the main article.response to offset spiral
 center.zipResponse change over
 timeThe raw 2D traces for
 bird head position for this experiment. Analysis of these data is
 presented in figure 4 of the main article.response change over
 time.zipResponse to combined
 stationary pattern and looming spiralThe raw 3D traces for
 bird head position for this experiment. Analysis of these data is
 presented in figure 5 of the main article.response to combined stationary
 pattern and looming spiral.zip
DOI: 10.25625/a2z8t8/m36jin
title: Wendhausen_AF_precipitation.tab

description: Precipitation data at 1h resolution from the agroforestry station in Wendhausen.
DOI: 10.25625/a2z8t8/nsjk54
title: Dornburg_MC.tab

description: Eddy covariance and meteorological data at 30 min resolution from the monocropping station in Dornburg.
DOI: 10.25625/a2z8t8/dsxojs
title: Wendhausen_AF.tab

description: Eddy covariance and meteorological data at 30 min resolution from the agroforestry station in Wendhausen.
DOI: 10.25625/a2z8t8/8qwuvq
title: Mariensee_MC_precipitation.tab

description: Precipitation data at 1h resolution from the grassland station in Mariensee.
DOI: 10.5061/dryad.4tm8j
title: Data from: Oligocene niche shift, Miocene diversification - cold tolerance and accelerated speciation rates in the St. John's Worts (Hypericum, Hypericaceae)

description: Background: Our aim is to understand the evolution of species-rich plant
 groups that shifted from tropical into cold/temperate biomes. It is well
 known that climate affects evolutionary processes, such as how fast
 species diversify, species range shifts, and species distributions. Many
 plant lineages may have gone extinct in the Northern Hemisphere due to
 Late Eocene climate cooling, while some tropical lineages may have adapted
 to temperate conditions and radiated; the hyper-diverse and geographically
 widespread genus Hypericum is one of these. Results:To investigate the
 effect of macroecological niche shifts on evolutionary success we combine
 historical biogeography with analyses of diversification dynamics and
 climatic niche shifts in a phylogenetic framework. Hypericum evolved cold
 tolerance c. 30 million years ago, and successfully colonized all ice-free
 continents, where today ~500 species exist. The other members of
 Hypericaceae stayed in their tropical habitats and evolved into ~120
 species. We identified a 15–20 million year lag between the initial change
 in temperature preference in Hypericum and subsequent diversification rate
 shifts in the Miocene. Conclusions:Contrary to the dramatic niche shift
 early in the evolution of Hypericum most extant species occur in temperate
 climates including high elevations in the tropics. These cold/temperate
 niches are a distinctive characteristic of Hypericum. We conclude that the
 initial release from an evolutionary constraint (from tropical to
 temperate climates) is an important novelty in Hypericum. However, the
 initial shift in the adaptive landscape into colder climates appears to be
 a precondition, and may not be directly related to increased
 diversification rates. Instead, subsequent events of mountain formation
 and further climate cooling may better explain distribution patterns and
 species-richness in Hypericum. These findings exemplify important
 macroevolutionary patterns of plant diversification during large-scale
 global climate change.
description: Nuerk_etal_age_estimation_A_completeDatasetBEAST v1.7.5 input file, divergence time estimations, analysis A, complete data set.Nuerk_etal_age_estimation_A_noMissingDatasetBEAST v1.7.5 input file, divergence time estimations, analysis A, reduced data set that does not include missing data.Nuerk_etal_age_estimation_B_completeDatasetBEAST v1.7.5 input file, divergence time estimations, analysis B, complete data setNuerk_etal_age_estimation_B_noMissingDatasetBEAST v1.7.5 input file, divergence time estimations, analysis B, reduced data set that does not include missing data.
DOI: 10.25625/a2z8t8/kdtszu
title: Mariensee_AF.tab

description: Eddy covariance and meteorological data at 30 min resolution from the agroforestry station in Mariensee.
DOI: 10.25625/a2z8t8/qkj7uc
title: Wendhausen_MC_precipitation.tab

description: Precipitation data at 1h resolution from the monocropping station in Wendhausen.
DOI: 10.25625/a2z8t8/qhxmo5
title: Vechta_AF.tab

description: Eddy covariance and meteorological data at 30 min resolution from the agroforestry station in Vechta.
DOI: 10.25625/a2z8t8/hnezug
title: Mariensee_AF_precipitation.tab

description: Precipitation data at 1h resolution from the agroforestry station in Mariensee.
DOI: 10.25625/a2z8t8/o8emdl
title: Wendhausen_MC.tab

description: Eddy covariance and meteorological data at 30 min resolution from the monocropping station in Wendhausen.
DOI: 10.5061/dryad.539m2
title: Data from: Annual movement patterns of endangered ivory gulls: the importance of sea ice

description: The ivory gull (Pagophila eburnea) is an endangered seabird that spends
 its entire year in the Arctic environment. In the past three decades,
 threats from various sources have contributed to a &gt;70% decline in
 Canada. To assess the annual habitat needs of this species, we attached
 satellite transmitters to 12 ivory gulls on Seymour Island, Nunavut in
 2010, which provided up to four breeding seasons of tracking data.
 Analysis of migratory behaviour revealed considerable individual variation
 of post-breeding migratory route selection. Ivory gulls traveled a median
 of 74 days during post-breeding migration, but only 18 days during
 pre-breeding migration. In contrast to predictions, ivory gulls did not
 use the Greenland coast during migratory periods. Ivory gulls overwintered
 near the ice edge in Davis Strait, but also used the Labrador Sea in late
 February and March. We suggest that the timing of formation and recession
 and extent of sea ice plays a large role in ivory gull distribution and
 migratory timing.
description: Raw satellite tracking
 data for the ivory gull in the Canadian ArcticSatellite tracking data
 collected from Platform Terminal Transmitters compatible with the Argos
 satellite positioning system. "day" refers to the day of the
 year (1-365 or 366 in leap years) and; "time" uses a 24 hour
 clock notation in the form hh:mm.ivgu_raw_data_2010-2013.csv
DOI: 10.25625/a2z8t8/9fimgh
title: variable_name_unit.tab

description: Description of variable names and units in the files.
DOI: 10.25625/a2z8t8/ktcxod
title: Forst_AF.tab

description: Eddy covariance and meteorological data at 30 min resolution from the agroforestry station in Forst.
DOI: 10.25625/a2z8t8/cpke6l
title: Forst_MC_precipitation.tab

description: Precipitation data at 1h resolution from the monocropping station in Forst.
DOI: 10.25625/a2z8t8/8lokqx
title: Vechta_MC_precipitation.tab

description: Precipitation data at 1h resolution from the monocropping station in Vechta.
DOI: 10.25625/a2z8t8/atlduv
title: Vechta_AF_precipitation.tab

description: Precipitation data at 1h resolution from the agroforestry station in Vechta.
DOI: 10.25625/a2z8t8/xsixio
title: Dornburg_AF.tab

description: Eddy covariance and meteorological data at 30 min resolution from the agroforestry station in Dornburg.
DOI: 10.25625/a2z8t8/msm9fp
title: Mariensee_MC.tab

description: Eddy covariance and meteorological data at 30 min resolution from the grassland station in Mariensee.
DOI: 10.25625/a2z8t8/yfnb6d
title: Dornburg_MC.tab

description: :unav
DOI: 10.25625/a2z8t8/phohrb
title: Wendhausen_AF_tower2_precipitation.tab

description: :unav
DOI: 10.5061/dryad.cp8pj
title: Data from: The potential for spatial distribution indices to signal thresholds in marine fish biomass

description: The frequently observed positive relationship between fish population
 abundance and spatial distribution suggests that changes in distribution
 can be indicative of trends in abundance. If contractions in spatial
 distribution precede declines in spawning stock biomass (SSB), spatial
 distribution reference points could complement the SSB reference points
 that are commonly used in marine conservation biology and fisheries
 management. When relevant spatial distribution information is integrated
 into fisheries management and recovery plans, risks and uncertainties
 associated with a plan based solely on the SSB criterion would be reduced.
 To assess the added value of spatial distribution data, we examine the
 relationship between SSB and four metrics of spatial distribution intended
 to reflect changes in population range, concentration, and density for 10
 demersal populations (9 species) inhabiting the Scotian Shelf, Northwest
 Atlantic. Our primary purpose is to assess their potential to serve as
 indices of SSB, using fisheries independent survey data. We find that
 metrics of density offer the best correlate of spawner biomass. A decline
 in the frequency of encountering high density areas is associated with,
 and in a few cases preceded by, rapid declines in SSB in 6 of 10
 populations. Density-based indices have considerable potential to serve
 both as an indicator of SSB and as spatially based reference points in
 fisheries management.
description: S1 Stock assessment
 model informationStock, Spawning Stock
 Biomass model, SourceS1 Dataset Stock
 assessment data per speciesResearch Vessel Data of
 the spatial distribution of fish species, including total number, total
 weight, time and locationS2 Dataset SSB and
 source dataYear, Spawning Stock
 Biomass in tonnes, Spawning Stock Number tonnes (x1000), Area, Strata,
 Species and Data source
DOI: 10.25625/a2z8t8/7afquh
title: Mariensee_MC.tab

description: :unav
DOI: 10.25625/a2z8t8/z3drau
title: Wendhausen_AF_tower1_precipitation.tab

description: :unav
DOI: 10.25625/a2z8t8/rlqjbz
title: Wendhausen_MC.tab

description: :unav
DOI: 10.25625/a2z8t8/gzpwd2
title: Dornburg_MC_precipitation.tab

description: :unav
DOI: 10.25625/a2z8t8/shojlh
title: Vechta_AF.tab

description: :unav
DOI: 10.5061/dryad.986mp
title: Data from: Recovery of large carnivores in Europe’s modern human-dominated landscapes

description: The conservation of large carnivores is a formidable challenge for
 biodiversity conservation. Using a data set on the past and current status
 of brown bears (Ursus arctos), Eurasian lynx (Lynx lynx), gray wolves
 (Canis lupus), and wolverines (Gulo gulo) in European countries, we show
 that roughly one-third of mainland Europe hosts at least one large
 carnivore species, with stable or increasing abundance in most cases in
 21st-century records. The reasons for this overall conservation success
 include protective legislation, supportive public opinion, and a variety
 of practices making coexistence between large carnivores and people
 possible. The European situation reveals that large carnivores and people
 can share the same landscape.
description: Archive of map shape
 filesShape files of current
 and historical distribution maps of large carnivore species in
 Europelarge_carnivores_europe_maps.zip
DOI: 10.25625/a2z8t8/edhw9n
title: Vechta_AF_precipitation.tab

description: :unav
DOI: 10.25625/a2z8t8/4mu97t
title: Wendhausen_AF_tower3.tab

description: :unav
DOI: 10.25625/a2z8t8/qfxxg2
title: Wendhausen_AF_tower1.tab

description: :unav
DOI: 10.25625/a2z8t8/e4srei
title: Dornburg_AF.tab

description: :unav