cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5061/dryad.d51c5b04g
title: Frequency-dependent hybridization contributes to habitat segregation in monkeyflowers

description: Spatial segregation of closely related species is usually attributed to
 differences in stress tolerance and competitive ability. For both animals
 and plants, reproductive interactions between close relatives can impose a
 fitness cost that is more detrimental to the rarer species.
 Frequency-dependent mating interactions may thus prevent the establishment
 of immigrants within heterospecific populations, maintaining spatial
 segregation of species. Despite strong spatial segregation in natural
 populations, two sympatric California monkeyflowers (Mimulus nudatus and
 M. guttatus) survive and reproduce in the other’s habitat when
 transplanted reciprocally. We hypothesized that a frequency-dependent
 mating disadvantage maintains spatial segregation of these monkeyflowers
 during natural immigration. To evaluate this hypothesis, we performed two
 field experiments. First, we experimentally added immigrants in varying
 numbers to sites dominated by heterospecifics. Second, we reciprocally
 transplanted arrays of varying resident and immigrant frequency. Immigrant
 seed viability decreased with conspecific rarity for M. guttatus, but not
 M. nudatus. We observed immigrant minority disadvantage for both species,
 but driven by different factors– frequency-dependent hybridization for M.
 guttatus, and competition for resources and/or pollinators for M. nudatus.
 Overall, our results suggest a major role for reproductive interference in
 spatial segregation that should be evaluated along with stress tolerance
 and competitive ability.
description: Three data sets and one R code file are included. The 2019
 transect data was collected at one site where both <em>M.
 nudatus</em> and <em>M. guttatus</em> were present in
 close proximity at the UC McLaughlin Reserve. The 2018 <em>M.
 guttatus</em> immigration experiement data was collected at a single
 transplant site dominated by <em>M. nudatus</em> at the
 UC McLaughlin Reserve. The 2019 frequency-manipulation reciprocal
 transplant data was collected at two transplant sites dominated by either
 <em>M. guttatus</em> or <em>M. nudatus </em>at the
 UC McLaughlin reserve.  Fruit were collected at the end of the season,
 then seeds were counted from every transplant and categorized as viable or
 inviable based on morphology. The statistical analysis R code tests
 whether the number of conspecific flowers was associated with seed
 viability in the transect, whether the number of conspecific neighbors was
 associated with fitness components in the immigration experiment, whether
 immigrant frequency treatments affected fitness components and lifetime
 fecundity in the reciprocal transplant.
description: README.txt describes the R code and data files, including column
 descriptions for each data file.
DOI: 10.5061/dryad.xpnvx0kgm
title: Data from: Seasonal variation in resource selection by subadult golden eagles in the Great Basin Desert

description: Golden eagles (Aquila chrysaetos) are a long-lived and wide-ranging
 species believed to be stable or in slight decline across North America.
 Golden eagles have an extended subadult stage (4–5 years) that is critical
 to maintaining recruitment into the breeding population and population
 viability. We investigated patterns of resource selection for subadults in
 the Great Basin Desert of the western United States during summer and
 winter, 2013–2019. We monitored 46 subadults with GPS transmitters and
 related locations (n = 99,037) with predictors hypothesized to influence
 seasonal patterns of space use with mixed-effects logistic
 regression.
DOI: 10.15468/dl.5524wy
title: Occurrence Download

description: A dataset containing 600 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dipteryx odorata",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 600 records from 77 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002974-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5061/dryad.prr4xgxnf
title: Models of evolutionary rescue with plasticity and nonlinear environmental change: code and data

description: Rapid environmental changes are putting numerous species at risk of
 extinction. For migration-limited species, persistence depends on either
 phenotypic plasticity or evolutionary adaptation (evolutionary rescue).
 Current theory on evolutionary rescue typically assumes linear
 environmental change. Yet accelerating environmental change may pose a
 bigger threat. Here we present the simulation code and data from
 a model of a species encountering an environment with
 accelerating or decelerating change, to which it can adapt through
 evolution or phenotypic plasticity (within-generational or
 transgenerational). We show that unless either form of plasticity is
 sufficiently strong or adaptive genetic variation is sufficiently
 plentiful, accelerating or decelerating environmental change increases
 extinction risk compared to linear environmental change for the same mean
 rate of environmental change. 
description: Please see the "Description_of_data.pdf" file for
 description of data.
DOI: 10.5061/dryad.kprr4xh5r
title: Distinct impacts of major El Niño events on Arctic temperatures due to differences in eastern tropical Pacific sea surface temperatures

description: The El Niño Southern Oscillation (ENSO) is a climate mode in the tropical
 Pacific. The ENSO teleconnections are known to affect Arctic temperature,
 however, the robustness of this relationship remains debated. Here, we
 find that Arctic surface temperatures during three major El Niño events
 are remarkably well simulated by a state-of-the-art model when nudged to
 the observed pan-tropical sea surface temperatures (SSTs). SST
 perturbation experiments show that the 1982-83 warm pan-Arctic and the
 1997-98 cold pan-Arctic during winter can be explained by far eastern
 equatorial Pacific SSTs being higher during 1997-98 than during 1982-83.
 Consistently, during the 2017-18 La Niña, the unusually low SSTs in the
 same region contributed to the pan-Arctic warming. These pan-Arctic
 responses to the SSTs are realized through latent heating anomalies over
 the western and eastern tropical Pacific. These results highlight the
 importance of accurately representing SST amplitude and pattern for Arctic
 climate predictions.
DOI: 10.5061/dryad.gmsbcc2pd
title: Data for: Concordant phylogeographic responses to large-scale coastal disturbance in intertidal macroalgae and their epibiota

description: Major ecological disturbance events can provide opportunities to assess
 multispecies responses to upheaval. In particular, catastrophic
 disturbances that regionally extirpate habitat-forming species can
 potentially influence the genetic diversity of large numbers of
 co-distributed taxa. However, due to the rarity of such disturbance events
 over ecological timeframes, the genetic dynamics of multispecies
 recolonization processes have remained little understood. Here we use
 single nucleotide polymorphism (SNP) data from multiple coastal species to
 track the dynamics of co-colonization events in response to ancient
 earthquake disturbance in southern New Zealand. Specifically, we use a
 comparative phylogeographic approach to understand the extent to which
 epifauna (with varying ecological associations with their macroalgal
 hosts) share comparable spatial and temporal recolonization patterns. Our
 study reveals concordant disturbance-related phylogeographic breaks in two
 intertidal macroalgal species along with two associated epibiotic species
 (a chiton and an isopod). By contrast, two co-distributed species, one of
 which is an epibiotic amphipod and the other a subtidal macroalga, show
 few if any genetic effects of palaeoseismic coastal uplift.
 Phylogeographic model selection reveals similar post-uplift recolonization
 routes for the epibiotic chiton and isopod and their macroalgal hosts.
 Additionally, co-demographic analyses support synchronous population
 expansions of these four phylogeographically similar taxa. Our findings
 indicate that coastal paleoseismic activity has driven concordant impacts
 on multiple codistributed species, with concerted recolonization events
 likely facilitated by macroalgal rafting. These results highlight that
 high-resolution comparative genomic data can help reconstruct concerted
 multispecies responses to recent ecological disturbance.
description: SNP data were obtained using genotyping by sequencing. 
description: Input files used for delimitR analysis: antarctica_MSFS.obs,
 Limnoria_MSFS.obs, Onithochiton_MSFS.obs, poha_MSFS.obs
 Input files used for MultiDice analysis: antarctica_MAFpop0.obs,
 Chiton_MAFpop0.obs, Limnoria_MAFpop0.obs, poha_MAFpop0.obs
 Input files used for topology tests for <em>Durvillaea
 antarctica</em> and <em>Onithochiton
 neglectus</em>: Durvillaea_3pop_topologytest_MSFS.obs, Onithochiton_3pop_topologytest_MSFS.obs VCFs and population maps for the three epibiotic species: Limnoria_depth_maxmis39.vcf & Limnoria_populationMap.txt, Onithochiton_depth_maxmiss39.vcf & Onithochiton_populationMap.txt, Parawaldeckia_depth_maxmiss39.vcf & Parawaldeckia_populationMap.txt
DOI: 10.5061/dryad.4qrfj6qbg
title: Convergent tip-to-base widening of water-conducting conduits in the tallest bryophytes

description: Background: Tip-to-base conduit widening is considered a key mechanism
 that enables vascular plants to grow tall by decreasing the hydraulic
 resistance imposed by increasing height. Widening of hydraulic anatomy
 (larger conducting elements towards the base of the vascular system)
 minimizes gradients in leaf-specific hydraulic conductance with plant
 height, allowing uniform photosynthesis across the crown of trees.
 Tip-to-base conduit widening has also been associated with changes in
 conduit number.  However, in bryophytes, despite having
 representatives with internal water conducting tissue, conduit widening
 has been scarcely investigated. Methods: Here, we examined the changes in
 hydroid diameter and number with distance from plant tip in Dawsonia
 superba Grev. and D. polytrichoides R.Br., two representatives of the
 genus containing the tallest extant bryophytes. Key results: We found that
 the position of these moss species on the global scale of conduit size and
 plant size was consistent with a general scaling among plants with
 internal water transport. Within plants we found similar patterns of
 conduit widening and number with distance from plant tip in endohydric
 mosses to those observed in vascular plants. Conclusions:  Thus,
 this study demonstrates that land plants growing upwards in the atmosphere
 show analogous conduit widening of hydraulic structures, suggesting
 efficient internal water transport is a convergent adaptation for
 photosynthesis on land.
description: Please note: To read in data, data sheets were converted to
 individual CSV files of the same name.
DOI: 10.5061/dryad.v6wwpzgx4
title: Screening of 6000 compounds for uncoupling activity: input parameters, the predicted uncoupling activity, as well as the results in respect to structural alerts

description: Protonophoric uncoupling of phosphorylation is an important factor when
 assessing chemicals for their toxicity, and has recently moved into focus
 in pharmaceutical research with respect to the treatment of diseases such
 as cancer, diabetes or obesity. Reliably identifying uncoupling
 activity is thus a valuable goal. To that end, we screened more than 6000
 anionic compounds for in-vitro uncoupling activity, using a biophysical
 model based on ab-initio COSMO-RS input parameters with the molecular
 structure as the only external input. We combined these results with a
 model for baseline toxicity (narcosis). Our model identified more than
 1250 possible uncouplers in the screening dataset, and identified possible
 new uncoupler classes such as thiophosphoric acids. When tested against
 423 known uncouplers and 612 known inactive compounds in the dataset, the
 model reached a sensitivity of 83% and a specificity of 96%. In a direct
 comparison, it showed a similar specificity than the structural alert
 profiler Mitotox (97%), but much higher sensitivity than Mitotox (47%).
 The biophysical model thus allows for a more accurate screening for
 uncoupling activity than existing structural alert profilers. We propose
 to use our model as a complementary tool to screen large datasets for
 protonophoric uncoupling activity in drug development and toxicity
 assessment.
description: This repository contains the Supplementary Information to the
 publication “Screening of 6000 compounds for uncoupling activity: a
 comparison between a mechanistic biophysical model and the structural
 alert profiler Mitotox”: 
 S2.xlsx 
 S3.txt containing a
 detailed list of calculated and experimental input parameters, the
 predicted uncoupling activity for the complete screening, as well as the
 results in respect to structural alerts.
DOI: 10.5061/dryad.905qfttmp
title: Exploitative competition for floral resources reduces sugar intake but differently impacts the foraging behaviour of two non-bee flower visitors

description: Identifying which behavioural strategies maximize individual fitness is a
 key objective in ecology. Organisms are known to adapt their foraging
 behaviour to their environment in response to abiotic and biotic
 constraints, such as the distribution of resources or the presence of
 competitors. For instance, bees are known to avoid recently visited
 flowers and thus focus their foraging on more rewarding patches. Whether
 other flower-visiting insects adapt their foraging behaviour in response
 to exploitative competition for floral resources remains unknown. Here, we
 asked if a predatory hoverfly (Episyrphus balteatus) and a parasitoid
 (Aphidius colemani) 1) are physiologically impacted by flower resource
 limitation following exploitation of flowers by a competitor (either the
 bumblebee Bombus terrestris or E. balteatus); 2) have the ability to
 discriminate flowers that were previously exploited by a competitor; and
 3) modify their foraging behaviour accordingly. Episyrphus balteatus and
 A. colemani individuals foraging on previously exploited flowers were
 found to be less concentrated in sugar compounds, especially in fructose
 and glucose, suggesting that previously exploited flowers contained less
 available sugars. Nevertheless, individuals did not avoid previously
 exploited patches in the choice experiment. On the contrary, E. balteatus
 females preferentially landed on inflorescences that had previously been
 exploited by conspecifics (but not by B. terrestris), while A. colemani
 did not show preferences between inflorescences. However, female
 hoverflies spent more time feeding on unexploited patches, suggesting that
 exploited patches were resource limited. To our knowledge, this study
 provides the first evidence of the use of social cues among E. balteatus
 individuals in food foraging strategies. It also shows that even insects
 with tiny nectar requirements, such as parasitoids, can suffer from heavy
 exploitative competition. Such results may have applied consequences for
 the understanding of natural enemy conservation, in particular in
 agroecosystems where competition with honeybees may be important.
DOI: 10.5061/dryad.b5mkkwhf2
title: Properties of leak detection sensor, Arduino and application code

description: The dataset contains properties of a leak detection sensor; absorbance
 spectra and reflectance in different pH environments, ionic strength,
 reversibility, FT-IR (Fourier-transform infrared spectroscopy), stability,
 TGA (Thermogravimetric analysis), and photoisomerization data. The
 microprocessor and application codes are also included. The information
 included herein will be helpful for users of the sensor.
DOI: 10.5061/dryad.jq2bvq89k
title: Antelope space-use and behaviour indicate multi-level responses to varying anthropogenic influences in a highly human-dominated landscape

description: A primary means of conserving a species or a habitat in a human-dominated
 landscape is through promoting coexistence with humans while minimizing
 conflict. For this, we should understand how wildlife are impacted by
 direct and indirect human activities. Such information is rare from areas
 with high human densities. To investigate how animals respond to altered
 ecological conditions in human-dominated landscapes, we focussed on a wild
 herbivore of conservation concern in Krishnasaar Conservation Area (KrCA)
 in Nepal. Here, blackbuck, Antilope cervicapra, a generalist grazer, lives
 in refugia located in a growing human population. We studied the impacts
 of humans on habitat use and behaviour of blackbuck. We laid 250 x 250 m
 grid cells in the entire KrCA and carried out indirect sign surveys with
 three replications for habitat use assessment. We observed herds of
 blackbuck for 89 hours in different habitat types using scan sampling
 methods. Our habitat-use survey showed that habitats under intensive human
 use were hardly used by blackbuck, even when high-quality forage was
 available. Habitat openness was the major predictor of habitat-use inside
 the core area, where levels of human activities were low. We also found a
 positive correlation between habitat use by blackbuck and livestock.
 Blackbuck were substantially more vigilant when they were in forest than
 in grassland, again indicating an influence of risk. Overall, blackbuck
 appear to be sensitive to risk associated with both natural and
 anthropogenic factors. Our findings have direct implications for managing
 human-wildlife interactions in this landscape, specifically regarding
 strategies for livestock grazing in habitats highly used by blackbuck and
 concerning predictions of how changing land use will impact long-term
 persistence of blackbuck. Our work suggests that wild herbivores may be
 able to persist in landscapes with high human densities so long as there
 are refuges where human activities are relatively low.
description: Three different methods were used to collect the data during this
 study. First, we use a sign survey to collect data about habitat use by
 black. Sign survey was repetitively done for three months generating three
 sets of observations, one for each month.  For
 behaviour observation, we used both group scan sampling method and focal
 animal observation method. The group scan sampling method was used to
 observe general behaviour observation and focal animal observation method
 was used to access vigilance behaviour in blackbuck. 
description: The data is in CSV format and can be opened in most data
 analyzing tools or can be converted to required format.
DOI: 10.5281/zenodo.18311707
title: Performance of Large Language Models as a Tool for Primary Care Consultations

description: Abstract

We present two datasets. On the one hand, a set of health-related queries from real users. This dataset was extracted from the 2025 Google report and validated by a panel of physicians from different specialties. It represents the primary care queries most frequently made worldwide in the English language.

On the other hand, we present a set of responses generated by different Large Language Models for these queries, annotated by a panel of physicians distinct from the previous one. These responses were evaluated across several dimensions, such as medical consensus, correctness, and potential harm. The models used to generate these responses were: an open model (Llama3, version llama3:8b-instruct-q4_0), a widely used proprietary model (GPT-4, version o-mini), and an open model specialized through clinical fine-tuning (MedLlama3, version llama3-med42-8b:latest). 

Citation information

If you use this version of the dataset, please cite as follows: 

Fernández-Pichel, M., Pascual Presa, N., Losada, D. E., García Orosa, B., Gude, F., Costa Lathan, C., Sueiro Justel, J., Gómez Fontenla, A., Lastra Pérez, M., & Alonso García, F. (2026). Performance of Large Language Models as a Tool for Primary Care Consultations [Data set]. Zenodo. https://doi.org/10.5281/zenodo.18311708

Acknowledgements

This dataset is part of the R&D project Artificial Intelligence in Digital Media in Spain: Effects and Roles ( PID2024-156034OB-C22), funded by MICIU/AEI/10.13039/ 501100011033 and by “ERDF/EU”. This research is also supported by the the project Cátedra de IA aplicada a la Medicina Personalizada de Precisión (Cátedras ENIA, TSI-100932-2023-3); Cátedras ENIA is funded by the Ministerio de Transformación Digital y Función Pública (Secretaría de Estado de Digitalización e Inteligencia Artificial); and by the NextGeneration EU-fund. The second and third author also thank the financial support from the Agencia Estatal de Investigación (Spain) (PID2022-137061OB-C22 funded by MICIU/AEI/10.13039/ 501100011033), the Xunta de Galicia - Conselleria de Educación, Ciencia, Universidades e Formación Profesional (Centro de investigación de Galicia acreditación 2024-2027 ED431G-2023/04 and Reference Competitive Group accreditation ED431C 2022/19) and the European Union (European Regional Development Fund - ERDF).
DOI: 10.5281/zenodo.18311708
title: Performance of Large Language Models as a Tool for Primary Care Consultations

description: Abstract

We present two datasets. On the one hand, a set of health-related queries from real users. This dataset was extracted from the 2025 Google report and validated by a panel of physicians from different specialties. It represents the primary care queries most frequently made worldwide in the English language.

On the other hand, we present a set of responses generated by different Large Language Models for these queries, annotated by a panel of physicians distinct from the previous one. These responses were evaluated across several dimensions, such as medical consensus, correctness, and potential harm. The models used to generate these responses were: an open model (Llama3, version llama3:8b-instruct-q4_0), a widely used proprietary model (GPT-4, version o-mini), and an open model specialized through clinical fine-tuning (MedLlama3, version llama3-med42-8b:latest). 

Citation information

If you use this version of the dataset, please cite as follows: 

Fernández-Pichel, M., Pascual Presa, N., Losada, D. E., García Orosa, B., Gude, F., Costa Lathan, C., Sueiro Justel, J., Gómez Fontenla, A., Lastra Pérez, M., & Alonso García, F. (2026). Performance of Large Language Models as a Tool for Primary Care Consultations [Data set]. Zenodo. https://doi.org/10.5281/zenodo.18311708

Acknowledgements

This dataset is part of the R&D project Artificial Intelligence in Digital Media in Spain: Effects and Roles ( PID2024-156034OB-C22), funded by MICIU/AEI/10.13039/ 501100011033 and by “ERDF/EU”. This research is also supported by the the project Cátedra de IA aplicada a la Medicina Personalizada de Precisión (Cátedras ENIA, TSI-100932-2023-3); Cátedras ENIA is funded by the Ministerio de Transformación Digital y Función Pública (Secretaría de Estado de Digitalización e Inteligencia Artificial); and by the NextGeneration EU-fund. The second and third author also thank the financial support from the Agencia Estatal de Investigación (Spain) (PID2022-137061OB-C22 funded by MICIU/AEI/10.13039/ 501100011033), the Xunta de Galicia - Conselleria de Educación, Ciencia, Universidades e Formación Profesional (Centro de investigación de Galicia acreditación 2024-2027 ED431G-2023/04 and Reference Competitive Group accreditation ED431C 2022/19) and the European Union (European Regional Development Fund - ERDF).