cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5061/dryad.515sg
title: Data from: Re-evaluating neonatal-age models for ungulates: does model choice affect survival estimates?

description: New-hoof growth is regarded as the most reliable metric for predicting age
 of newborn ungulates, but variation in estimated age among hoof-growth
 equations that have been developed may affect estimates of survival in
 staggered-entry models. We used known-age newborns to evaluate variation
 in age estimates among existing hoof-growth equations and to determine the
 consequences of that variation on survival estimates. During 2001–2009, we
 captured and radiocollared 174 newborn (≤24-hrs old) ungulates: 76
 white-tailed deer (Odocoileus virginianus) in Minnesota and South Dakota,
 61 mule deer (O. hemionus) in California, and 37 pronghorn (Antilocapra
 americana) in South Dakota. Estimated age of known-age newborns differed
 among hoof-growth models and varied by &gt;15 days for white-tailed
 deer, &gt;20 days for mule deer, and &gt;10 days for pronghorn.
 Accuracy (i.e., the proportion of neonates assigned to the correct age) in
 aging newborns using published equations ranged from 0.0% to 39.4% in
 white-tailed deer, 0.0% to 3.3% in mule deer, and was 0.0% for pronghorns.
 Results of survival modeling indicated that variability in estimates of
 age-at-capture affected short-term estimates of survival (i.e., 30 days)
 for white-tailed deer and mule deer, and survival estimates over a longer
 time frame (i.e., 120 days) for mule deer. Conversely, survival estimates
 for pronghorn were not affected by estimates of age. Our analyses indicate
 that modeling survival in daily intervals is too fine a temporal scale
 when age-at-capture is unknown given the potential inaccuracies among
 equations used to estimate age of neonates. Instead, weekly survival
 intervals are more appropriate because most models accurately predicted
 ages within 1 week of the known age. Variation among results of
 neonatal-age models on short- and long-term estimates of survival for
 known-age young emphasizes the importance of selecting an appropriate
 hoof-growth equation and appropriately defining intervals (i.e., weekly
 versus daily) for estimating survival.
description: Grovenburg_PLOSONE__DataNewborn fawn data collected in the field broken out by species, study area, capture date, date of mortality or censor, and age estimates using published hoof-growth equations.
DOI: 10.5061/dryad.2ff80
title: Data from: Evolutionary responses of a coccolithophorid Gephyrocapsa oceanica to ocean acidification

description: The ongoing ocean acidification associated with a changing carbonate
 system may impose profound effects on marine planktonic calcifiers. Here,
 we show that a coccolithophore, Gephyrocapsa oceanica, evolved in response
 to an elevated CO2 concentration of 1000 μatm (pH reduced to 7.8) in a
 long term (∼ 670 generations) selection experiment. The high CO2 selected
 cells showed increases in photosynthetic carbon fixation, growth rate,
 cellular particulate organic carbon (POC) or nitrogen (PON) production and
 a decrease in C:N elemental ratio, indicating a greater up-regulation of
 PON than of POC production under the ocean acidification condition. Cells
 from the low CO2 selection process shifted to high CO2 exposure showed an
 enhanced cellular POC and PON production rates. Our data suggest that the
 coccolithophorid could adapt to ocean acidification with enhanced
 assimilations of carbon and nitrogen but decreased C:N ratios.
description: data
 file(Evolution-12-0887)These are the original
 data for the figures in the Evolution paper 12-0887.
DOI: 10.5061/dryad.0j67t
title: Data from: Wood density of trees in savannas of the northern Brazilian Amazon

description: Wood density (WD) is an important variable for estimating tree carbon
 stocks in terrestrial ecosystems. WD has been little studied in savanna
 areas in the Brazilian Amazon. The aim of this study was to investigate
 variation in WD in eight tree species that occur in the open savannas of
 Roraima, the largest savanna area in the northern Brazilian Amazon.
 Variations were observed in WD in relation to species and diameter along
 the vertical dimension of 75 individuals sampled at six study sites. We
 used the direct method to obtain wood pieces from the stem and crown. The
 results indicated significant interspecific differences. Roupala montana
 Aubl. was the species with highest WD (0.674 g cm-3). Significant
 variation in WD was found between the stem and the woody parts of the
 crown, irrespective of species or sampling site. The wood density of
 branchs with diameter between 5 and 10 cm can be used as a predictor of
 individual WD for the whole tree. We conclude that the WD of the eight
 tree species investigated has interspecific variability and that there is
 a discrepancy between the WD of stem and the woody parts of the crown.
 Distinctions detected here provide an important tool for improving tree
 carbon estimates in Amazonian savannas.
description: Wood density of trees in
 savannas of the northern Brazilian AmazonThe file contains the
 wood density values (g cm-3), classes of diameter (cm), geographical
 position (UTM) and altitude (meters above sea level) of eight typical
 savanna tree species found in Roraima, northern Brazilian Amazonia (225
 wood samples). Wood density values were estimated taking into account the
 oven dry mass (g) divided by fresh volume (cm3) of samples derived from
 three classes of diameter (1-5 cm = twigs; 5-10 cm = branches; &gt; 10 cm
 = main stem).wood
 density_savanna_Roraima.xlsx
DOI: 10.5281/zenodo.17953033
title: SHM_120677_HST_3D

description: Photogrammetric 3D model of a ceramic jug from the Middle Ages, collected in the field from Slottsfjärden in Kalmar and currently held in the collections of the National Historical Museums in Stockholm.

Link to the Dynamic Collection platform  

https://dyncolldev.ht.lu.se/plus/artifact_view.php?item=663

Link to Sök I Samlingarna  

https://samlingar.shm.se
DOI: 10.5061/dryad.1c2g1
title: Data from: Fire severity unaffected by spruce beetle outbreak in spruce-fir forests in southwestern Colorado

description: Recent large and severe outbreaks of native bark beetles have raised
 concern among the general public and land managers about potential for
 amplified fire activity in western North America. To date, the majority of
 studies examining bark beetle outbreaks and subsequent fire severity in
 the U.S. Rocky Mountains have focused on outbreaks of mountain pine beetle
 (MPB, Dendroctonus ponderosae) in lodgepole pine (Pinus contorta) forests,
 but few studies, particularly field studies, have addressed the effects of
 the severity of spruce beetle (Dendroctonus rufipennis Kirby) infestation
 on subsequent fire severity in subalpine Engelmann spruce (Picea
 engelmannii) and subalpine fir (Abies lasiocarpa) forests. In Colorado,
 the annual area infested by spruce beetle outbreaks is rapidly rising,
 while MPB outbreaks are subsiding; therefore understanding this
 relationship is of growing importance. We collected extensive field data
 in subalpine forests in the eastern San Juan Mountains, southwestern
 Colorado, to investigate whether a gray-stage (&lt;5 years from
 outbreak to time of fire) spruce beetle infestation affected fire
 severity. Contrary to the expectation that bark beetle infestation alters
 subsequent fire severity, correlation and multivariate generalized linear
 regression analysis revealed no influence of pre-fire spruce beetle
 severity on nearly all field or remotely sensed measurements of fire
 severity. Findings were consistent across moderate and extreme burning
 conditions. In comparison to severity of the pre-fire beetle outbreak, we
 found that topography, pre-outbreak basal area, and weather conditions
 exerted a stronger effect on fire severity. Our finding that beetle
 infestation did not alter fire severity is consistent with previous
 retrospective studies examining fire activity following other bark beetle
 outbreaks and reiterates the overriding influence of climate that creates
 conditions conducive to large, high-severity fires in the subalpine zone
 of Colorado. Both bark beetle outbreaks and wildfires have increased
 autonomously due to recent climate variability, but this study does not
 support the expectation that post-beetle outbreak forests will alter fire
 severity, a result that has important implications for management and
 policy decisions.
description: Data for Andrus et al
 2015 Ecological ApplicationsZipped file contains
 data and Read Me with details on each data file and columns for each data
 file.AndrusEtAl_2015_EcoApps.zip
DOI: 10.5281/zenodo.17953032
title: SHM_120677_HST_3D

description: Photogrammetric 3D model of a ceramic jug from the Middle Ages, collected in the field from Slottsfjärden in Kalmar and currently held in the collections of the National Historical Museums in Stockholm.

Link to the Dynamic Collection platform  

https://dyncolldev.ht.lu.se/plus/artifact_view.php?item=663

Link to Sök I Samlingarna  

https://samlingar.shm.se
DOI: 10.5061/dryad.h5f5n
title: Data from: Survival after pathogen exposure in group-living insects: don’t forget the stress of social isolation!

description: A major cost of group-living is its inherent risk of pathogen infection.
 To limit this risk, many group-living animals have developed the
 capability to prophylactically boost their immune system in the presence
 of group members and/or to mount collective defenses against pathogens.
 These two phenomena, called density dependent prophylaxis and social
 immunity, respectively, are often used to explain why, in group-living
 species, individuals survive better in groups than in isolation. However,
 this survival difference may also reflect an alternative and often
 overlooked process: a cost of social isolation on individuals’ capability
 to fight against infections. Here, we disentangled the effects of
 density-dependent prophylaxis, social immunity and stress of social
 isolation on the survival after pathogen exposure in group-living adults
 of the European earwig Forficula auricularia. By manipulating the presence
 of group members both before and after pathogen exposure, we demonstrated
 that the cost of being isolated after infection, but not the benefits of
 social immunity or density-dependent prophylaxis, explained the survival
 of females. Specifically, females kept constantly in groups or constantly
 isolated had higher survival rates than females that were first in groups
 and then isolated after infection. Our results also showed that this cost
 of social isolation was absent in males, and that social isolation did not
 reduce the survival of non-infected individuals. Overall, this study gives
 a new perspective on the role of pathogens in social evolution, as it
 suggests that an apparently non-adaptive, personal immune process may
 promote the maintenance of group-living under pathogenic environments.
description: Data
 setDATA
 DRYAD.xlsx
DOI: 10.5061/dryad.t6k8f
title: Data from: Spatial and temporal patterns of nest distribution influences sexual selection in a marine fish

description: In many species, the natural distribution of material resources important
 for reproduction can profoundly impact reproductive success among
 individuals and, hence, the opportunity and intensity of sexual selection.
 Here, we report on a field-based experiment investigating the effects of
 nest aggregation on sexual selection in a fish, the sand goby
 (Pomatoschistus minutus). We found that the distribution of potential
 nests (sparse versus aggregated nest treatments) affected patterns of nest
 colonization and reproductive success. Specifically, in the treatment with
 aggregated nesting resources, a greater proportion of nests remained
 unoccupied by sand goby males. Although the size of nesting males did not
 differ between treatments, eggs accumulated more rapidly when nests were
 sparsely distributed. We found that the opportunity for selection
 decreased over time with the accumulation of eggs in the nests in both the
 aggregated and sparse treatments. Moreover, the effect of male size on
 reproductive success was influenced by an interaction between nest
 distribution and time, with the selection gradient being highest right
 after nest colonization when nests were aggregated, while the opposite
 pattern was observed in the sparse nest treatment. Such findings highlight
 the vital role that environmental and social factors can play in
 determining the importance of male phenotypic traits (in this case, male
 size). More broadly, our results also underscore how the natural
 distribution of resources, both in space and time, can impact the strength
 of sexual selection acting on wild animal populations.
description: Spatial and temporal
 patterns of nest distribution influences sexual selection in a marine
 fishData on male size and
 egg mass area (reproductive success) from a field experiment manipulating
 breeding nest aggregation and time to accumulate reproductive
 success.
DOI: 10.5061/dryad.2mb2h
title: Data from: Sensitivity analysis of conservation targets in systematic conservation planning

description: Systematic conservation planning has rapidly advanced in the past decade
 and has been increasingly incorporated in multiple studies and
 conservation projects. One of its requirements is a quantitative
 definition of conservation targets. While the Convention on Biological
 Diversity aims to expand the world's protected area network to 17% of
 the land surface, in many cases such uniform policy-driven targets may not
 be appropriate for achieving persistence of various species. Targets are
 often set arbitrarily, often because information required for the
 persistence of each species is unavailable or unknown in the focal region.
 Conservation planners therefore need to establish complementary novel
 approaches to address the gaps in setting targets. Here, we develop and
 present a novel method that aims to help guide the selection of
 conservation targets, providing support for decision makers, planners, and
 managers. This is achieved by examining the overall flexibility of the
 conservation network resulting from conservation prioritization, and
 aiming for greater flexibility. To test this approach we applied the
 decision support tool Marxan to determine marine conservation priority
 areas in the eastern Mediterranean Sea as a case study. We assessed the
 flexibility of the conservation network by comparing 80 different
 scenarios in which conservation targets were gradually increased and
 assessed by a range of calculated metrics (e.g., the percentage of the
 total area selected, the overall connectivity). We discovered that when
 conservation targets were set too low (i.e., below 10% of the distribution
 range of each species), very few areas were identified as irreplaceable
 and the conservation network was not well defined. Interestingly, when
 conservation targets were set too high (over 50% of the species'
 range), too many conservation priority areas were selected as
 irreplaceable, an outcome which is realistically infeasible to implement.
 As a general guideline, we found that flexibility in a conservation
 network is adequate when ~10−20% of the study area is considered
 irreplaceable (selection frequency values over 90%). This approach offers
 a useful sensitivity analysis when applying target-based systematic
 conservation planning tools, ensuring that the resulting protected area
 conservation network offers more choices for managers and decision makers.
description: Species list Levin et
 alInformation used to
 define fish species distribution ranges - depth ranges and marine
 habitat.
DOI: 10.5061/dryad.88ks4g5
title: Data from: Two-species occupancy modeling accounting for species misidentification and nondetection

description: 1.In occupancy studies, species misidentification can lead to false
 positive detections, which can cause severe estimator biases. Currently,
 all models that account for false positive errors only consider omnibus
 sources of false detections and are limited to single species occupancy.
 2.However, false detections for a given species often occur because of the
 misidentification with another, closely-related species. To exploit this
 explicit source of false positive detection error, we develop a
 two-species occupancy model that accounts for misidentifications between
 two species of interest. As with other false positive models,
 identifiability is greatly improved by the availability of unambiguous
 detections at a subset of site-occasions. Here, we consider the case where
 some of the field observations can be confirmed using laboratory or other
 independent identification methods (“confirmatory data”). 3.We performed
 three simulation studies to (1) assess the model's performance under
 various realistic scenarios, (2) investigate the influence of the
 proportion of confirmatory data on estimator accuracy, and (3) compare the
 performance of this two-species model with that of the single-species
 false positive model. The model shows good performance under all
 scenarios, even when only small proportions of detections are confirmed
 (e.g., 5%). It also clearly outperforms the single-species model. 4.We
 illustrate application of this model using a four-year data set on two
 sympatric species of lungless salamanders: the US federally endangered
 Shenandoah salamander (Plethodon shenandoah), and its presumed competitor,
 the red-backed salamander (Plethodon cinereus). Occupancy of red-backed
 salamanders appeared very stable across the four years of study, whereas
 the Shenandoah salamander displayed substantial turn-over in occupancy of
 forest habitats among years. 5.Given the extent of species
 misidentification issues in occupancy studies, this modelling approach
 should help improve the reliability of estimates of species distribution,
 which is the goal of many studies and monitoring programs. Further
 developments, to account for different forms of state uncertainty, can be
 readily undertaken under our general approach.
description: Salamander
 DatasetSalamander Dataset used
 for the real data analysis. It includes the field detection data, as well
 as the confirmatory data (from DNA analyses), for both species: P.
 cinereus and P. Shenandoah.Data
 Salamanders.xlsx
DOI: 10.5061/dryad.1s5rh
title: Data from: Carry-over effects of the social environment on future divorce probability in a wild bird population

description: Initial mate choice and re-mating strategies (infidelity and divorce)
 influence individual fitness. Both of these should be influenced by the
 social environment, which determines the number and availability of
 potential partners. While most studies looking at this relationship take a
 population-level approach, individual-level responses to variation in the
 social environment remain largely unexplored. Here, we explore carry-over
 effects on future mating decisions of the social environment in which the
 initial mating decision occurred,. Using detailed data on the winter
 social networks of great tits we tested whether the probability of
 subsequent divorce, a year later, could be predicted by measures of the
 social environment at the time of pairing. We found that males that had a
 lower proportion of female associates, and whose partner ranked lower
 amongst these, as well as inexperienced breeders, were more likely to
 divorce after breeding. We found no evidence that a female’s social
 environment influenced the probability of divorce. Our findings highlight
 the importance of the social environment that individuals experience
 during initial pair formation on later pairing outcomes, and demonstrate
 that such effects can be delayed. Exploring these extended effects of the
 social environment can give valuable insights into processes and selective
 pressures acting upon the mating strategies that individuals adopt.
description: Great tit
 divorce-fidelity dataData used to analyse the
 influence of the social environment of males and females on their future
 (i.e. to the next breeding season) divorce probability. F- female ID (ring
 number); M- male ID; status_t+1 - if a pair has divorced or stayed
 faithful to the next year; F_degree - number of associates a female had in
 winter; F_between_degree - number of male associates female had in winter;
 partner_strength- association strength between pair members;
 F_partner_rank; M_degree - number of associates a male had in winter;
 M_between_degree ;M_partner_rank; new_old_pair - is a pair newly formed or
 previously formed; f_experience - had a female bred before; m_experience;
 ever_seen_together- was a pair seen to associate in winter; Stand_laydate;
 n_eggs; winterDivorce_birds.xlsx
DOI: 10.5061/dryad.12cm083
title: Data from: Selective increases in inter-individual variability in response to environmental enrichment in female mice

description: One manifestation of individualization is a progressively differential
 response of individuals to the non-shared components of the same
 environment. Individualization has practical implications in the clinical
 setting, where subtle differences between patients are often decisive for
 the success of an intervention, yet there has been no suitable animal
 model to study its underlying biological mechanisms. Here we show that
 enriched environment (ENR) can serve as a model of brain
 individualization. We kept 40 isogenic female C57BL/6JRj mice for 3 months
 in ENR and compared these mice to an equally sized group of
 standard-housed control animals, looking at the effects on a wide range of
 phenotypes in terms of both means and variances. Although ENR influenced
 multiple parameters and restructured correlation patterns between them, it
 only increased differences among individuals in traits related to brain
 and behavior (adult hippocampal neurogenesis, motor cortex thickness, open
 field and object exploration), in agreement with the hypothesis of a
 specific activity-dependent development of brain individuality.
description: Supplementary
 File1_phenotypesThe txt file contains
 the phenotypes assessed in our study for all mice under control (CTRL) or
 enriched (conditions). The file is a txt file, comma delimited. Eache
 mouse is one line. All abbreviations and the phenotypes are explained in
 the article.
DOI: 10.15468/dl.cfahr7
title: Occurrence Download

description: A dataset containing 177 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Craibiodendron yunnanense",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 177 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001254-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.