cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5061/dryad.38q43
title: Data from: Genomic data illuminates demography, genetic structure and selection of a popular dog breed

description: Background: Genomic methods have proved to be important tools in the
 analysis of genetic diversity across the range of species and can be used
 to reveal processes underlying both short- and long-term evolutionary
 change. This study applied genomic methods to investigate population
 structure and inbreeding in a common UK dog breed, the Labrador Retriever.
 Results: We found substantial within-breed genetic differentiation, which
 was associated with the role of the dog (i.e. working, pet, show) and also
 with coat colour (i.e. black, yellow, brown). There was little evidence of
 geographical differentiation. Highly differentiated genomic regions
 contained genes and markers associated with skull shape, suggesting that
 at least some of the differentiation is related to human-imposed selection
 on this trait. We also found that the total length of homozygous segments
 (runs of homozygosity, ROHs) was highly correlated with inbreeding
 coefficient. Conclusions: This study demonstrates that high-density
 genomic data can be used to quantify genetic diversity and to decipher
 demographic and selection processes. Analysis of genetically
 differentiated regions in the UK Labrador Retriever population suggests
 the possibility of human-imposed selection on craniofacial
 characteristics. The high correlation between estimates of inbreeding from
 genomic and pedigree data for this breed demonstrates that genomic
 approaches can be used to quantify inbreeding levels in dogs, which will
 be particularly useful where pedigree information is missing.
description: final_dataCharacteristics of 728 UK Labrador Retrievers (e.g. sex, geographic region, role, coat colour). Further description in readme.txt file.archive.tarGenotype data (plink-format) for 728 UK Labrador Retrievers, using Illumina CanineHD SNP array. See readme.txt and text for further details.
DOI: 10.17632/jrrfb49wmg.1
title: Replication Code for “Informal Loans in Thailand: Stylized Facts and Empirical Analysis”

description: This repository contains the computational code used to reproduce the empirical results in the paper “Informal Loans in Thailand: Stylized Facts and Empirical Analysis.”

The code generates all tables and figures reported in the paper, including summary statistics, stylized facts, and econometric analyses of informal borrowing behavior. The original individual-level survey data are confidential and cannot be shared publicly. Researchers with authorized access to the data may reproduce the results by running the scripts provided in this repository.
DOI: 10.5281/zenodo.18388269
title: DIVINE: Andalusia Agroclimatic Information Network Historic Datasets - MALAGA - (June 24 - May 25)

description: This dataset contains high-resolution daily agroclimatic data from the RIA (Red de Información Agroclimática de Andalucía) network, managed by IFAPA. The data has been collected as part of the DIVINE project to support research in precision agriculture, water management, and climate adaptation in Southern Spain.

The dataset covers the period from June 1, 2024, to May 31, 2025, providing key parameters such as temperature (mean, max, min), humidity, wind speed, solar radiation, precipitation, and calculated ETo (Evapotranspiration) using the Penman-Monteith method.

Geographic Coverage and Station Distribution: The dataset includes part of the processed records from 123 monitoring stations distributed across the 8 provinces of Andalusia. In this case the data includes the ones in Málaga:

Data Format:





Format: JSON (JavaScript Object Notation).




Naming Convention: 34 [Province_ID] [Station_ID] DIVINE [Station_Name] ([Province]).json




Coordinate System: WGS84 (included within the metadata of individual station files).



Source: Data retrieved from the official IFAPA RIAWS API (Junta de Andalucía).
DOI: 10.5281/zenodo.18388270
title: DIVINE: Andalusia Agroclimatic Information Network Historic Datasets - MALAGA - (June 24 - May 25)

description: This dataset contains high-resolution daily agroclimatic data from the RIA (Red de Información Agroclimática de Andalucía) network, managed by IFAPA. The data has been collected as part of the DIVINE project to support research in precision agriculture, water management, and climate adaptation in Southern Spain.

The dataset covers the period from June 1, 2024, to May 31, 2025, providing key parameters such as temperature (mean, max, min), humidity, wind speed, solar radiation, precipitation, and calculated ETo (Evapotranspiration) using the Penman-Monteith method.

Geographic Coverage and Station Distribution: The dataset includes part of the processed records from 123 monitoring stations distributed across the 8 provinces of Andalusia. In this case the data includes the ones in Málaga:

Data Format:





Format: JSON (JavaScript Object Notation).




Naming Convention: 34 [Province_ID] [Station_ID] DIVINE [Station_Name] ([Province]).json




Coordinate System: WGS84 (included within the metadata of individual station files).



Source: Data retrieved from the official IFAPA RIAWS API (Junta de Andalucía).
DOI: 10.5061/dryad.7rr7m
title: Data from: Turbulence induces metabolically costly behaviors and inhibits food capture in oyster larvae, causing net energy loss

description: Planktotrophic invertebrate larvae require energy to develop, disperse,
 and settle successfully, and it is unknown how their energetics is
 impacted by turbulence. Ciliated larvae gain metabolic energy from their
 phytoplankton food to offset the energetic costs of growth, development,
 and ciliary activity for swimming and feeding. Turbulence may affect the
 energetic balance by inducing behaviors that alter the metabolic costs and
 efficiency of swimming, by raising the encounter rate with food particles,
 and by inhibiting food capture. We used experiments and an empirical model
 to quantify the net rate of energy gain, swimming efficiency, and food
 capture efficiency for eyed oyster larvae (Crassostrea virginica) in
 turbulence. At dissipation rates representative of coastal waters, larvae
 lost energy even when food concentrations were very high. Both feeding
 activity and turbulence-induced behaviors incurred high metabolic costs.
 Swimming efficiency was concave up versus dissipation rate, suggesting
 that ciliary activity for food handling became more costly while swimming
 became more efficient with turbulence intensity. Though counter-intuitive,
 swimming may have become more efficient in turbulence because
 vorticity-induced rotation caused larvae to swim more horizontally, which
 requires less effort than swimming vertically against the pull of gravity.
 Overall, however, larvae failed to offset high activity costs with food
 energy gains because turbulence reduced food capture efficiency more than
 it enhanced food encounter rates. Younger, smaller larvae may have some
 energetic advantages, but competent larvae would lose energy at turbulence
 intensities they experience frequently, suggesting that turbulence-induced
 starvation may account for much of oysters' high larval mortality.
description: Summary_Data"Summary_Data.csv" is a comma-separated (.csv) file summarizing population-average (flask-level) measurements.behavior_data"behavior_data.dat" is a comma-separated file containing behavior data from PIV measurements.
DOI: 10.17632/rgtsx6xs4b
title: DATA - Pyrolysis temperature controls carbon stability and micronutrient bioavailability in vineyard-trimming biochar

description: This dataset contains the complete experimental data supporting the study “Pyrolysis temperature controls carbon stability and micronutrient bioavailability in vineyard-trimming biochar”. The data were generated to evaluate how contrasting pyrolysis temperatures (300 °C and 600 °C) regulate biochar yield, physicochemical properties, carbon stability, and the total and bioavailable fractions of key micronutrients.

Biochars were produced from vineyard pruning residues (Vitis vinifera) collected in northwestern Spain using slow pyrolysis under controlled laboratory conditions. The dataset includes raw and processed measurements for biochar yield, pH, electrical conductivity, moisture content, volatile matter, ash content, fixed carbon, oxidizable organic carbon, elemental composition (C, H, N, S, and O), and derived atomic ratios (H/C, O/C, and (O+N)/C) used as indicators of carbonization degree and chemical stability.

In addition, the dataset provides total concentrations of macro- and micronutrients (Na, Mg, P, Ca, K, Mn, Fe, Cu, and Zn) determined by acid digestion and ICP-MS analysis, as well as chemically extractable (DTPA-extractable) fractions of Mn, Fe, Cu, and Zn representing potential bioavailability. Relative bioavailable fractions are included to enable direct comparison between total and extractable pools.

The repository also includes the data matrix used for multivariate analysis (principal component analysis, PCA), summary statistics (mean ± standard deviation, n = 3), and the complete R scripts employed for statistical analyses and figure generation. All data are provided in open, reusable formats to ensure transparency, reproducibility, and reuse.

These data support the identification of a functional trade-off between carbon stability and micronutrient bioavailability in vineyard-derived biochars and are intended for reuse in studies on biochar design, soil amendment strategies, circular economy applications, and climate-smart agriculture.
DOI: 10.17632/rgtsx6xs4b.1
title: DATA - Pyrolysis temperature controls carbon stability and micronutrient bioavailability in vineyard-trimming biochar

description: This dataset contains the complete experimental data supporting the study “Pyrolysis temperature controls carbon stability and micronutrient bioavailability in vineyard-trimming biochar”. The data were generated to evaluate how contrasting pyrolysis temperatures (300 °C and 600 °C) regulate biochar yield, physicochemical properties, carbon stability, and the total and bioavailable fractions of key micronutrients.

Biochars were produced from vineyard pruning residues (Vitis vinifera) collected in northwestern Spain using slow pyrolysis under controlled laboratory conditions. The dataset includes raw and processed measurements for biochar yield, pH, electrical conductivity, moisture content, volatile matter, ash content, fixed carbon, oxidizable organic carbon, elemental composition (C, H, N, S, and O), and derived atomic ratios (H/C, O/C, and (O+N)/C) used as indicators of carbonization degree and chemical stability.

In addition, the dataset provides total concentrations of macro- and micronutrients (Na, Mg, P, Ca, K, Mn, Fe, Cu, and Zn) determined by acid digestion and ICP-MS analysis, as well as chemically extractable (DTPA-extractable) fractions of Mn, Fe, Cu, and Zn representing potential bioavailability. Relative bioavailable fractions are included to enable direct comparison between total and extractable pools.

The repository also includes the data matrix used for multivariate analysis (principal component analysis, PCA), summary statistics (mean ± standard deviation, n = 3), and the complete R scripts employed for statistical analyses and figure generation. All data are provided in open, reusable formats to ensure transparency, reproducibility, and reuse.

These data support the identification of a functional trade-off between carbon stability and micronutrient bioavailability in vineyard-derived biochars and are intended for reuse in studies on biochar design, soil amendment strategies, circular economy applications, and climate-smart agriculture.
DOI: 10.5061/dryad.rp011
title: Data from: Range instability leads to cytonuclear discordance in a morphologically cryptic ground squirrel species complex

description: The processes responsible for cytonuclear discordance frequently remain
 unclear. Here, we employed an exon capture dataset and demographic methods
 to test hypotheses generated by species distribution models to examine how
 contrasting histories of range stability vs. fluctuation have caused
 cytonuclear concordance and discordance in ground squirrel lineages from
 the Otospermophilus beecheyi species complex. Previous studies in O.
 beecheyi revealed three morphologically cryptic and highly divergent
 mitochondrial DNA lineages (named the Northern, Central, and Southern
 lineages based on geography) with only the Northern lineage exhibiting
 concordant divergence for nuclear genes. Here, we showed that these mtDNA
 lineages likely formed in allopatry during the Pleistocene, but responded
 differentially to climatic changes that occurred since the last
 interglacial (~120,000 years ago). We find that the Northern lineage
 maintained a stable range throughout this period, correlating with genetic
 distinctiveness among all genetic markers and low migration rates with the
 other lineages. In contrast, our results suggested that the Southern
 lineage expanded from Baja California Sur during the Late Pleistocene to
 overlap and potentially swamp a contracting Central lineage. High rates of
 intraspecific gene flow between Southern lineage individuals among
 expansion origin and expansion edge populations largely eroded Central
 ancestry from autosomal markers. However, male-biased dispersal in this
 system preserved signals of this past hybridization and introgression
 event in matrilineal-biased X-chromosome and mtDNA markers. Our results
 highlight the importance of range stability in maintaining the persistence
 of phylogeographic lineages, whereas unstable range dynamics can increase
 the tendency for lineages to merge upon secondary contact.
description: zipped folder containing
 files related to analysesAll other scripts, final
 datasets, the probe set, and the U. beldingi
 transcritpomeMEC.7.19.17.dryad.zip
DOI: 10.5061/dryad.0s63q
title: Data from: Evolution of the selfing syndrome: anther orientation and herkogamy together determine reproductive assurance in a self-compatible plant

description: Capacity for autonomous self-fertilization provides reproductive
 assurance, has evolved repeatedly in the plant kingdom, and typically
 involves several changes in flower morphology and development (the selfing
 syndrome). Yet, the relative importance of different traits and trait
 combinations for efficient selfing and reproductive success in
 pollinator-poor environments is poorly known. In a series of experiments,
 we tested the importance of anther-stigma distance and the less studied
 trait anther orientation for efficiency of selfing in the perennial herb
 Arabis alpina. Variation in flower morphology among eight self-compatible
 European populations was correlated with efficiency of self-pollination
 and with pollen limitation in a common-garden experiment. To examine
 whether anther-stigma distance and anther orientation are subject to
 directional and/or correlational selection, and whether this is because
 these traits affect pollination success, we planted a segregating F2
 population at two native field sites. Selection strongly favored a
 combination of introrse anthers and reduced anther-stigma distance at a
 site where pollinator activity was low, and supplemental hand-pollination
 demonstrated that this was largely because of their effect on securing
 self-pollination. The results suggest that concurrent shifts in more than
 one trait can be crucial for the evolution of efficient self-pollination
 and reproductive assurance in pollinator-poor habitats.
description: Arabis_alpina_data_EvolutionExcel file with data in six sheets and including a README.
DOI: 10.5061/dryad.761tj
title: Data from: Diversity in thermal affinity among key piscivores buffers impacts of ocean warming on predator-prey interactions

description: Asymmetries in responses to climate change have the potential to alter
 important predator-prey interactions, in part by altering the location and
 size of spatial refugia for prey. We evaluated the effect of ocean warming
 on interactions between four important piscivores and four of their prey
 in the U.S. Northeast Shelf by examining species overlap under historical
 conditions (1968-2014) and with a doubling in CO2. Because both predator
 and prey shift their distributions in response to changing ocean
 conditions, the net impact of warming or cooling on predator-prey
 interactions was not determined a priori from the range extent of either
 predator or prey alone. For Atlantic cod, an historically dominant
 piscivore in the region, we found that both historical and future warming
 led to a decline in the proportion of prey species’ range it occupied and
 caused a potential reduction in its ability to exert top-down control on
 these prey. In contrast, the potential for overlap of spiny dogfish with
 prey species was enhanced by warming, expanding their importance as
 predators in this system. In sum, the decline in the ecological role for
 cod that began with overfishing in this ecosystem will likely be
 exacerbated by warming, but this loss may be counteracted by the rise in
 dominance of other piscivores with contrasting thermal preferences.
 Functional diversity in thermal affinity within the piscivore guild may
 therefore buffer against the impact of warming on marine ecosystems,
 suggesting a novel mechanism by which diversity confers resilience.
description: Observed and modeled
 presence 1968-2014NMFS Trawl Survey data
 used to fit species distribution models and the resulting modeled
 predictions for presence/absence (preds1) and abundance
 (preds).historical.RDataProjected species probability of occupancy and abundance under ocean warmingPredicted probability of occupancy (preds1) and abundance (preds) under a doubling of carbon dioxide using simulations from GFDL 2.6.projected.RData
DOI: 10.17632/9nks6sbpd2
title: DATA - Pyrolysis-driven stabilization and micronutrient partitioning in poultry waste–derived biochars

description: This dataset provides the complete experimental evidence supporting the article “Pyrolysis-driven stabilization and micronutrient partitioning in poultry waste–derived biochars”. It documents how increasing pyrolysis temperature regulates carbon structural transformation, mineral enrichment, and the partitioning between total and bioavailable micronutrient pools in poultry waste–derived materials.

The dataset includes raw poultry waste (PW) and biochars produced by slow pyrolysis at 300 °C (BPW300) and 600 °C (BPW600). For each material, the repository contains raw and processed measurements of biochar yield, pH, electrical conductivity, moisture content, volatile matter, ash content, fixed carbon, and easily oxidizable organic carbon. Elemental composition data (C, H, N, S, and O) and derived atomic ratios (H/C, O/C, and (O+N)/C) are provided to quantify carbon condensation, aromaticity, and chemical stability.

Comprehensive macro- and micronutrient datasets are included, covering total concentrations of Na, Mg, P, Ca, K, Mn, Fe, Cu, and Zn determined by acid digestion and ICP-MS. In addition, chemically extractable (DTPA-extractable) fractions of Mn, Fe, Cu, and Zn are reported as indicators of potential bioavailability. Relative bioavailable fractions (% of total) are provided to explicitly resolve pyrolysis-driven micronutrient immobilization and stabilization processes.

The repository also contains the multivariate data matrix used for principal component analysis (PCA), enabling integrated assessment of physicochemical properties, carbon structural indicators, and nutrient redistribution across treatments. Summary statistics (mean ± standard deviation; n = 3) and complete R scripts used for ANOVA, post hoc testing, PCA, and figure generation are included to ensure full computational reproducibility.

Overall, this dataset enables independent verification of the reported results and supports secondary analyses on biochar design, nutrient stabilization mechanisms, environmental risk mitigation, and circular management of livestock residues. It is intended for reuse in soil science, environmental chemistry, waste valorization, and climate-smart agriculture research.
DOI: 10.5061/dryad.p46k6
title: Data from: Oceanic swarms of Antarctic krill perform satiation sinking

description: Antarctic krill form some of the highest concentrations of animal biomass
 observed in the world’s ocean potentially due to their prolific ability to
 swarm. Determining the movement of Antarctic krill within swarms is
 important to identify drivers of their behaviour and their biogeochemical
 impact on their environment. We examined vertical velocity within
 approximately 2000 krill swarms through the combined use of a shipborne
 echosounder and an acoustic Doppler current profiler (ADCP). We revealed a
 pronounced downward anomaly in vertical velocity within swarms of -0.6
 cm.s-1 compared with vertical motion outside the swarm. The anomaly
 changed over the diel cycle, with smaller downward anomalies occurring at
 night. Swarms in regions of high phytoplankton concentrations (a proxy for
 food availability) also exhibited significantly smaller downward
 anomalies. We propose that the anomaly is the result of downward
 velocities generated by the action of krill beating their swimming
 appendages. During the night and in high phytoplankton availability, when
 krill are more likely to feed to the point of satiation, swimming activity
 is lowered and the anomaly is reduced. Our findings are consistent with
 laboratory work where krill ceased swimming and adopted a parachute
 posture when sated. Satiation sinking behaviour can substantially increase
 the efficiency of carbon transport to depth through depositing faecal
 pellets at the bottom of swarms, avoiding the reingestion and breakup of
 pellets by other swarm members.
description: Antarctic krill swarms
 in Scotia Sea Summer 2003The dataset contains
 2043 krill swarms detected using an EK60 echosounder during transects of
 the Scotia Sea during Jan and Feb 2003. Each of the swarms was detected
 using the dB difference method described in Tarling et al. 2009.
 Corresponding measurements of the vertical velocity within and above and
 below each swarm were made using an acoustic Doppler current profiler
 (ADCP). Velocities above and below the swarm were taken from velocities
 within the swarm to derive a residual. The dataset gives a time and
 location of each swarm, mean depth of swarm midpoint below surface, swarm
 properties (depth, length, thickness, packing concentrations) and vertical
 velocities within, above and below each swarm. There is a further mask
 which excludes any measurements where there was another swarm present in
 the ADCP depth/time bin. [Tarling GA, Klevjer T, Fielding S, Watkins JL,
 Atkinson A, Murphy E, Korb R, Whitehouse M, Leaper R (2009) Variability
 and predictability of Antarctic krill swarm structure. Deep -Sea Res I
 56:1994–2012].Data_satiation sinking
 DRYAD_2017-11-07.xlsx