cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5061/dryad.76hdr7szs
title: Data for: Prey resources are equally important as climatic conditions for predicting the distribution of a broad-ranged apex predator

description: Aim: A current biogeographic paradigm states that climate
 regulates species distributions at continental scales and that biotic
 interactions are undetectable at coarse-grain extents. However, advances
 in spatial modelling show that incorporating food resource distributions
 are important for improving model predictions at large distribution
 scales. This is particularly relevant to understand the factors limiting
 distribution of widespread apex predators whose diets are likely to vary
 across their range. Location: Neotropical Central and South America
 Methods: The harpy eagle (Harpia harpyja) is a large raptor, whose diet is
 largely comprised of arboreal mammals, all with broad distributions across
 Neotropical lowland forest. Here, we used a hierarchical modelling
 approach to determine the relative importance of abiotic factors and prey
 resource distribution on harpy eagle range limits. Our hierarchical
 approach consisted of the following modelling sequence of explanatory
 variables: (a) abiotic covariates, (b) prey resource distributions
 predicted by an equivalent modelling for each prey, (c) the combination of
 (a) and (b), and (d) as in (c) but with prey resources considered as a
 single prediction equivalent to prey species richness. Results:
 Incorporating prey distributions improved model predictions but using
 solely biotic covariates still resulted in a high performing model. In the
 Abiotic model, Climatic Moisture Index (CMI) was the most important
 predictor, contributing 76 % to model prediction. Three-toed sloth
 (Bradypus spp.) was the most important prey resource, contributing 64 % in
 a combined Abiotic-Biotic model, followed by CMI contributing 30 %. Harpy
 eagle distribution had high environmental overlap across all individual
 prey distributions, with highest coincidence through Central America,
 eastern Colombia, and across the Guiana Shield into northern Amazonia.
   Main conclusions: With strong reliance on prey distributions
 across its range, harpy eagle conservation programs must therefore
 consider its most important food resources as a key element in the
 protection of this threatened raptor.
description: R code to run analyses openly available on GitHub.
description: Environmental data available from: WorldClim
 (v1.4)
 current: https://www.worldclim.org/data/v1.4/worldclim14.html
 ENVIREM: http://envirem.github.io/#downloads Occurrence data available from: Harpy Eagle GBIF: https://doi.org/10.15468/dl.knc9m3 Miranda et al. (2019) database: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0216323#sec011 Harpy eagle occurrences from Vargas González & Vargas (2011) are at a coarser 10-km resolution due to sensitivity of nest locations.  Prey species (all from GBIF):  https://doi.org/10.15468/dl.yo1hbg https://doi.org/10.15468/dl.bel2eo https://doi.org/10.15468/dl.rjucnt https://doi.org/10.15468/dl.p4k3md https://doi.org/10.15468/dl.fo5nm3 https://doi.org/10.15468/dl.aitmbb
DOI: 10.5061/dryad.8w9ghx3pr
title: Disentangling thermal from alternative drivers of reflectance in jewel beetles: a macroecological study

description: To predict future colour-climate relationships, it is important to
 distinguish thermal drivers of reflectance from other evolutionary
 drivers. This can be achieved by comparing relationships between climate
 and colouration in ultraviolet-visible (UV-Vis) and near-infrared (NIR)
 light, separately; yet NIR properties have been measured in very few
 species. Here, we used jewel beetles (Coleoptera: Buprestidae) as models
 to identify climatic drivers of reflectance because jewel beetles have
 highly diverse colouration, a wide distribution, and are often active in
 hot conditions. Specifically, we tested the association between climate,
 body size and reflectance using a phylogenetic comparative analysis for
 three wavebands (UV-Vis, NIR, total). Results showed that reflectance of
 jewel beetles was more strongly predicted by body size than climate. NIR
 and total reflectance was not associated with climate, but larger beetles
 had higher NIR reflectance. For UV-Vis reflectance, small beetles were
 darker in warmer and more humid environments, whereas there was no
 association with climate for large beetles. Our study suggests that
 reflectance variation of jewel beetles is not driven by thermal
 requirements and highlights the importance of considering NIR reflectance
 when evaluating explanations of colour effects on thermoregulation.
DOI: 10.15468/dl.x29qbj
title: Occurrence Download

description: A dataset containing 675525 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is DATASAPROX : standardised database of saproxylic beetles from flight interception traps in continental France and Corsica"
 ]
}

 The dataset includes 675525 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003101-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5061/dryad.70rxwdc0p
title: Sex-specific endocrine regulation of seasonal aggression in Siberian hamsters

description: Coordinating physiological and behavioural processes across the annual
 cycle is essential in enabling individuals to maximize fitness. While the
 mechanisms underlying seasonal reproduction and its associated behaviours
 are well-characterized, fewer studies have examined the hormonal basis of
 non-reproductive social behaviours (e.g., aggression) on a seasonal
 timescale. Our previous work suggests that the pineal hormone melatonin
 facilitates a ‘seasonal switch’ in neuroendocrine regulation of aggression
 in male and female Siberian hamsters (Phodopus sungorus), specifically by
 acting on the adrenal glands to increase the production of the androgen
 dehydroepiandrosterone (DHEA) during the short-day (SD) photoperiods of
 the non-breeding season. Here, we provide evidence that the activity of
 3β-hydroxysteroid dehydrogenase/∆5-∆4 isomerase (3β-HSD), a key enzyme
 within the steroidogenic pathway that mediates DHEA synthesis and
 metabolism, varies in a sex-specific and melatonin-dependent manner.
 Although both male and female hamsters displayed increased aggression in
 response to SDs and SD-like melatonin, only males showed an increase in
 adrenal 3β-HSD activity. Conversely, SD and melatonin-treated females
 exhibited reductions in both adrenal and neural 3β-HSD activity.
 Collectively, these results suggest a potential role for 3β-HSD in
 modulating non-breeding aggression and, more broadly, demonstrate how
 distinct neuroendocrine mechanisms may underlie the same behavioural
 phenotype in males and females.
DOI: 10.5061/dryad.ksn02v76g
title: Data from: Let's stick together: infection enhances preferences for social settings in a songbird species

description: Acute infections can alter foraging and movement behaviours relevant to
 sociality and pathogen spread. However, few studies have examined how
 infection with directly-transmitted pathogens influences host social
 preferences. Juvenile house finches are gregarious and particularly
 susceptible to infection by the bacterial pathogen Mycoplasma
 gallisepticum (MG). Changes in sociality during infection are likely to
 have important consequences for MG transmission throughout
 majority-juvenile flocks, but it remains unknown how infection influences
 sociality in house finches. To test this, we inoculated 33 wild-caught
 juvenile house finches with MG or media (sham control). At peak infection,
 birds were given a choice assay to assess preference for associating near
 a flock versus an empty cage. Infected birds were significantly more
 likely than controls to spend time near the flock while eating, and
 marginally so while perching. These results indicate augmented social
 preferences during infection, potentially as a form of behavioural
 tolerance. Notably, infected birds showed strong social preferences
 regardless of individual variation in disease severity or pathogen loads,
 with 14/19 harbouring high loads (log10 5-6) at time of assay. Overall,
 our results show that infection with a directly-transmitted pathogen can
 augment social preferences, with potential implications for MG spread in
 natural populations.
description: This dataset was collected from behavioural experiments on live
 birds. All data is provided in the file "Inf_Social.csv". All
 data was processed and analysed using RStudio. R Code is provided in the
 document "Langager_Sociality_Code.R".
description: All variables used for analysis are annotated and described in
 the R code.
DOI: 10.5061/dryad.00000005j
title: Filtered VCF files for Bombus pascuorum and B. lapidarius

description: Human-induced environmental impacts on wildlife are widespread, causing
 major biodiversity losses. One major threat is agricultural
 intensification, typically characterised by large areas of monoculture,
 mechanical tillage, and the use of agrochemicals; it leads to the
 fragmentation and loss of natural habitats, native vegetation, and nesting
 and breeding sites. Understanding the adaptability of insects to these
 changing environmental conditions is critical to predicting their
 survival. Bumblebees, key pollinators of wild and cultivated plants, are
 used as model species to assess insect adaptation to anthropogenic
 stressors. We investigated the effects of agricultural pressures on two
 common European bumblebees, Bombus pascuorum and B. lapidarius.
 Restriction-site Associated DNA Sequencing (RADSeq) was used to identify
 loci under selective pressure across agricultural-natural gradients over
 97 locations in Europe. 191 unique loci in B. pascuorum and 260 in B.
 lapidarius were identified as under selective pressure, associated with
 agricultural stressors. Further investigation revealed candidate proteins
 for 26 loci in B. pascuorum including neurodevelopment proteins, a muscle
 protein, and a detoxification protein; and 53 loci in B. lapidarius,
 similarly including several neurodevelopmental, muscle, and detoxification
 proteins. These results provide insight into agriculture as a stressor for
 bumblebees and signal for conservation action in light of ongoing
 anthropogenic changes.
DOI: 10.57724/jci_20250209_palantarice_rhi
title: PALANTARICE 2025: Snow/Ice in situ incident and reflected spectral hemispherical irradiance (W/m^2). Hurd Peninsula, Livingston Island
DOI: 10.5061/dryad.2v6wwpzqx
title: Data from: Irregular forest structures originating after fire: an opportunity to promote alternatives to even-aged management in boreal forests

description: 1. Even-aged silviculture based on short-rotation clearcuts had severely
 altered boreal forests. Silvicultural alternatives (e.g., continuous cover
 or retention forestry) has the potential to restore and protect the
 habitats and functions of boreal forests. These alternatives are however
 often restricted to structurally complex old-growth forest, which are
 particularly threatened by anthropogenic disturbances. Increasing the use
 of alternatives to even-aged silviculture in early-successional stands
 could help recruit more structurally complex forests, with characteristics
 closer to the old-growth. In this article, we therefore evaluate the
 potential for silvicultural alternatives to even-aged management in boreal
 forests that burned less than a century ago. 2. We analyzed 1085 field
 plots in a 243000 km2 area situated in the boreal forest of eastern
 Canada. These plots burned 30 to 100 years before the survey and had not
 been subjected to previous or subsequent anthropogenic disturbance; they
 hence represent young primary forests. The main patterns of tree diameter
 distribution variation within the plots were identified using k-means
 clustering. Stand structure, tree species composition, and environmental
 variables that most explained the differences among the clusters were
 identified with a random forest model, and then compared using
 Kruskal-Wallis and Fisher’s exact tests. 3. The majority (&gt;75 %) of
 the plots presented an irregular structure of stem diameters (i.e.,
 non-normally distributed, with many small diameter trees). The understorey
 was generally dominated by black spruce (Picea mariana [Mill.] BSP), a
 shade-tolerant species. Irregular structures were observed in both forests
 of high and low productivity, implying that different processes (e.g.,
 early regeneration, variable tree growth) can lead to observed early
 irregular structure. Regular structures were generally characterized by a
 higher productivity and abundance in hardwood species compared to the
 irregular structures. 4. Synthesis and application: Many boreal forests of
 eastern Canada progress towards an irregular structure in the decades
 following the last stand-replacing fire. A substantial part of these
 early-successional forests may be suitable for alternatives to even-aged
 silviculture that better maintains habitats and functions of preindustrial
 boreal forests.
DOI: 10.15468/dl.ak74hr
title: Occurrence Download

description: A dataset containing 3080 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Asarum sieboldii"
 ]
}

 The dataset includes 3080 records from 97 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003097-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5061/dryad.jh9w0vtdm
title: Sacramento River green sturgeon acoustic telemetry detections

description: Abstract for publication titled: Intraspecific variation in migration
 timing of green sturgeon in the Sacramento River system Understanding
 movement patterns of anadromous fishes is critical to conservation
 management of declining wild populations and preservation of habitats.
 Yet, the duration of observations for individual animals can constrain
 accurate descriptions of movements. In this study, we synthesized over a
 decade (2006-2018) of acoustic telemetry tracking observations of green
 sturgeon (Acipenser medirostris) in the Sacramento River system to
 describe major anadromous movement patterns. We observed that green
 sturgeon exhibited a unimodal in-migration during the spring months but
 had a bimodal distribution of out-migration timing, split between an
 ‘early’ out-migration (32%) group during May - June, or alternatively,
 holding in the river until a ‘late’ out-migration (68%), November -
 January. Focusing on these out-migration groups, we found that river
 discharge, but not water temperature, may cue the timing of migration, and
 that fish showed a tendency to maintain out-migration timing between
 subsequent spawning migration events. We recommend that life history
 descriptions of green sturgeon in this region reflect the distinct
 out-migration periods described here. Furthermore, we encourage the
 continued use of biotelemetry to describe migration timing and life
 history variation, not only this population but other green sturgeon
 populations and other species.
description: Acoustic detection data was compiled from the UC Davis
 Biotelemetry database (https://cftc.metro.ucdavis.edu/biotelemetry-autonomous-real-time-database/landingmap) and processed for tagged green sturgeon present in the Sacramento River system (2006 - 2018). Any individual detection events occurring within the Sacremento River system during this time period were retained in this data set for processing as outlined in the manuscript methods to estimate migration timings.
description: Tagging metadata file for individual fish is included as a
 separate file.
DOI: 10.5061/dryad.f1vhhmh03
title: Data from: Building communities of teaching practice and data-driven open education resources with NEON faculty mentoring networks

description: With the growing availability and accessibility of big data in ecology, we
 face an urgent need to train the next generation of scientists in data
 science practices and tools. One of the biggest barriers for implementing
 a data-driven curriculum in undergraduate classrooms is the lack of
 training and support for educators to develop their own skills and time to
 incorporate these principles into existing courses or develop new ones.
 Alongside the research goals of the National Ecological Observatory
 Network (NEON), providing education and training are key components for
 building a community of scientists and users equipped to utilize
 large-scale ecological and environmental data. To address this need, the
 NEON Data Education Fellows program formed as a collaborative Faculty
 Mentoring Network (FMN) between scientists from NEON and university
 faculty interested in using NEON data and resources in their ecology
 classrooms. Like other FMNs, this group has two main goals: 1) to provide
 tools, resources, and support for faculty interested in developing
 data-driven curriculum, and (2) to make teaching materials that have been
 implemented and tested in the classroom available as open educational
 resources for other educators. We hosted this program using an open
 education and collaboration platform from the Quantitative Undergraduate
 Biology Education and Synthesis (QUBES) project. Here, we share lessons
 learned from facilitating five FMN cohorts and emphasize the successes,
 pitfalls, and opportunities for developing open education resources
 through community-driven collaborations.
description: Please see the associated manuscript.
description: We have removed the names and contact information of the
 participants from the data files. If you have any questions about this
 study, please contact the corresponding author of this manuscript at
 &lt;kusum@uark.edu&gt;.
DOI: 10.5061/dryad.1jwstqjx3
title: RADseq data reveal a lack of admixture in a mouse lemur contact zone contrary to previous microsatellite results

description: Microsatellites have been a workhorse of evolutionary genetic studies for
 decades and are still commonly in use for estimating signatures of genetic
 diversity at the population and species level across a multitude of taxa.
 Yet, the very high mutation rate of these loci is a double-edged sword,
 conferring great sensitivity at shallow levels of analysis (e.g.,
 paternity analysis) but yielding considerable uncertainty for deeper
 evolutionary comparisons. For the present study, we used reduced
 representation genome-wide data (RADseq) to test for patterns of
 interspecific hybridization previously characterized using microsatellite
 data in a contact zone between two closely related mouse lemur species in
 Madagascar (Microcebus murinus and M. griseorufus). We revisit this system
 by examining populations in, near, and far from the contact zone,
 including many of the same individuals that had previously been identified
 as hybrids with microsatellite data. Surprisingly, we find no evidence for
 admixed nuclear ancestry. Instead, re-analyses of microsatellite data and
 simulations suggest that previously inferred hybrids were false positives
 and that the program NewHybrids can be particularly sensitive to
 erroneously inferring hybrid ancestry. Combined with results from
 coalescent-based analyses and evidence for local syntopic co-occurrence,
 we conclude that the two mouse lemur species are in fact completely
 reproductively isolated, thus providing a cautionary tale for the
 inference of interspecific hybridization with microsatellite data.
description: There is a top-level directory for each analysis type/software
 and for metadata. Each directory has a README file describing the
 contents. VCF files are in the "geno" directory. Scripts can be
 found on GitHub at https://github.com/jelmerp/lemurs_contactzone_grimur.
DOI: 10.5061/dryad.7sqv9s4v3
title: Connectivity strategy mapping in California

description: Protecting or restoring habitat connectivity in landscapes undergoing
 rapid environmental change requires multiple conservation and restoration
 strategies. These strategies have different risk profiles, costs, and
 require various types of technical expertise to conduct. This diversity in
 landscape context and strategic approach requires more nuance and
 flexibility than traditional connectivity conservation plans have
 supported. We present a novel, spatially-explicit framework for developing
 connectivity conservation priorities and strategies based on Omniscape, an
 adaptation of Circuitscape, a common tool for mapping habitat
 connectivity. Using California (USA) as a case study, we mapped structural
 connectivity and developed a classification of connectivity conservation
 and restoration categories across the gradient of land use intensities, as
 well as by land ownership. The most constrained areas with highly
 concentrated flow (movement potential) make up 3% of the state and occur
 primarily on private lands. Conversely, intact areas with diffuse flow
 that indicate multiple connectivity options cover 55% of the state,
 including the majority of the desert and mountain ecoregions. This
 “strategy mapping” approach can be used to identify priority areas for
 conservation investment and suites of potential implementation mechanisms
 and partners, which in turn may improve the efficiency and effectiveness
 of connectivity conservation in this era of global change.
description: These are the rasters used to create Figures 2, 3, and 5 in the
 paper:  Cameron, D. R., Schloss, C. A., Theobald, D.
 M., & Morrison, S. A. (2022). A framework to select strategies for
 conserving and restoring habitat connectivity in complex
 landscapes. Conservation Science and Practice,
 e12698. https://doi.org/10.1111/csp2.12698 The current
 flow raster is an index, 0-100.  The Connectivity
 Categories data used in Figure 3 has the following values associated with
 categories.  Categories and grid values:
 Diffuse: 25, 29 Intensified: 31, 35,
 39 Channelized: 41, 45, 49
   Limited movement potential: 3
 Permeable lands for local movement: 4 Impeded:
 19   The Strategy types raster has
 values that correspond to the Strategy numbers shown in Figure
 5.    Please contact Dick Cameron
 dcameron@tnc.org or
 Carrie Schloss cschloss@tnc.org for
 more information.
description: Data are available in a layer package format with symbology
 (esri) or as a tiff with world file (*.tfw) for referencing. 
   No usage constraints.
DOI: 10.5061/dryad.ffbg79cx8
title: Data from: Resource availability affects seasonal trajectories of population-level learning

description: Environmental effects on learning are well known, such as cognition that
 is mediated by nutritional consumption. Less known is how seasonally
 variable environments affect phenological trajectories of learning. Here,
 we test the hypothesis that nutritional availability affects seasonal
 trajectories of population-level learning in species with developmentally
 plastic cognition. We test this in bumble bees (Apidae: Bombus), a clade
 of eusocial insects that produce individuals at different time points
 across their reproductive season and exhibit organ developmental
 plasticity in response to nutritional consumption. To accomplish this, we
 develop a theoretical model that simulates learning development across a
 reproductive season for a colony parameterized with observed life history
 data. Our model finds two qualitative seasonal trajectories of learning:
 (1) an increase in learning across the season and (2) no change in
 learning across the season. We also find these two qualitative
 trajectories revealed by empirical learning data; the proportion of
 workers successfully completing a learning test increases across a season
 for two bumble bee species (Bombus auricomus, Bombus pensylvanicus), but
 does not change for another three (Bombus bimaculatus, Bombus
 griseocollis, Bombus impatiens). This study supports the novel
 consideration that resources affect seasonal trajectories of
 population-level learning in species with developmentally plastic
 cognition.