cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.14288/1.0413762
title: Meta-analysis Tool for Algal Biofuels (MATAB)

description: "Meta-analysis Tool for Algal Biofuels" (MATAB) is an Excel-based tool for evaluating the climate change impacts of algal biodiesel and renewable diesel production pathways. &lt;p&gt; - A quick video walkthrough of the tool is available here: https://youtu.be/h_xBhCGFv-E
DOI: 10.14288/1.0413790
title: Climate-driven thermal opportunities and risks for leaf miners in aspen canopies

description: &lt;b&gt;Abstract&lt;/b&gt;&lt;br/&gt;In tree canopies, incoming solar radiation interacts with leaves and branches to generate temperature differences within and among leaves, presenting thermal opportunities and risks for leaf-dwelling ectotherms. Although leaf biophysics and insect thermal ecology are well understood, few studies have examined them together in single systems. We examined temperature variability in aspen canopies, Populus tremuloides, and its consequences for a common herbivore, the leaf-mining caterpillar Phyllocnistis populiella. We shaded leaves in the field and measured effects on leaf temperature and larval growth and survival. We also estimated larval thermal performance curves for feeding and growth and measured upper lethal temperatures. Sunlit leaves directly facing the incoming rays reached the highest temperatures, typically 3 – 8 °C above ambient air temperature. Irradiance driven increases in temperatures, however, were transient enough that they did not alter observed growth rates of leaf miners. Incubator and ramping experiments suggested that larval performance peaks between 25 and 32 °C and declines to zero between 35 and 40 °C, depending on duration of temperature exposure. Upper lethal temperatures during one-hour heat shocks were 42 – 43 °C. When larvae were active in early spring, temperatures generally were low enough to depress rates of feeding and growth below their maxima, and only rarely did estimated mine temperatures rise beyond optimal temperatures. Observed leaf or mine temperatures never approached larval upper lethal temperatures. At this site during our experiments, larvae thus appeared to have a significant thermal safety margin; the more pressing problem was inadequate heat. Detailed information on mine temperatures and larval performance curves, however, allowed us to leverage long-term data sets on air temperature to estimate potential future shifts in performance and longer-term risks to larvae from lethally high temperatures. This analysis suggests that, in the past 20 years, larval performance has often been limited by cold and that the risk of heat stress has been low. Future warming will raise mean rates of feeding and growth but also the risk of exposure to injuriously or lethally high temperatures.
DOI: 10.14288/1.0413789
title: Data from: Human impacts on mammals in and around a protected area before, during, and after COVID‐19 lockdowns

description: &lt;b&gt;Abstract&lt;/b&gt;&lt;br/&gt;&lt;p&gt;The dual-mandate for many protected areas (PAs) to simultaneously promote recreation and conserve biodiversity may be hampered by negative effects of recreation on wildlife. However, reports of these effects are not consistent, presenting a knowledge gap that hinders evidence-based decision-making. We used camera traps to monitor human activity and terrestrial mammals in Golden Ears Provincial Park and the adjacent Malcolm Knapp Research Forest near Vancouver, Canada, with the objective of discerning relative effects of various forms of recreation on cougars (Puma concolor), black bears (Ursus americanus), black-tailed deer (Odocoileus hemionus), snowshoe hares (Lepus americanus), coyotes (Canis latrans), and bobcats (Lynx rufus). Additionally, public closures of the study area associated with the COVD-19 pandemic offered an unprecedented period of human-exclusion through which to explore these effects. Using Bayesian generalized mixed-effects models, we detected negative effects of hikers (mean posterior estimate = -0.58, 95% credible interval (CI) -1.09 to -0.12) on weekly bobcat habitat use and negative effects of motorized vehicles (estimate = -0.28, 95% CI -0.61 to -0.05) on weekly black bear habitat use. We also found increased cougar detection rates in the PA during the COVID-19 closure (estimate = 0.007, 95% CI 0.005 to 0.009), but decreased cougar detection rates (estimate = -0.006, 95% CI -0.009 to -0.003) and increased black-tailed deer detection rates (estimate = 0.014, 95% CI 0.002 to 0.026) upon reopening of the PA. Our results emphasize that effects of human activity on wildlife habitat use and movement may be species- and/or activity-dependent, and that camera traps can be an invaluable tool for monitoring both wildlife and human activity, collecting data even when public access is barred. Further, we encourage PA managers seeking to promote both biodiversity conservation and recreation to assess trade-offs between these two goals in their PAs.&lt;/p&gt;
DOI: 10.57745/ghnoor
title: I221101001_projection_datasheet.pdf

description: :unav
DOI: 10.14288/1.0414214
title: Heterosis counteracts hybrid breakdown to forestall speciation by parallel natural selection

description: &lt;b&gt;Abstract&lt;/b&gt;&lt;br/&gt;&lt;p&gt;In contrast to ecological speciation, where reproductive isolation evolves as a consequence of divergent natural selection, speciation by parallel natural selection has been less thoroughly studied. To test whether parallel evolution drives speciation, we leveraged the repeated evolution of benthic and limnetic ecotypes of threespine stickleback fish and estimated fitness for pure crosses and within-ecotype hybrids in semi-natural ponds and in laboratory aquaria. In ponds, we detected hybrid breakdown in both ecotypes but this was counterbalanced by heterosis and the strength of post-zygotic isolation was nil. In aquaria, we detected heterosis only in limnetic crosses and breakdown in neither ecotype, suggesting that hybrid incompatibilities are environment-dependent for both ecotypes and that heterosis is environment-dependent in benthic crosses. Heterosis and breakdown were 3× greater in limnetic crosses than in benthic crosses, contrasting the prediction that the fitness consequences of hybridization should be greater in crosses among more derived ecotypes. Consistent with a primary role for stochastic processes, patterns differed among crosses between populations from different lakes. Yet, we observed qualitatively similar patterns of heterosis and hybrid breakdown in benthic crosses and limnetic crosses when averaging the lake pairs, suggesting that the outcome of hybridization is repeatable in a general sense.&lt;/p&gt;
DOI: 10.57745/0qtk72
title: I403201001_projection_datasheet.pdf

description: :unav
DOI: 10.57745/1rtcfq
title: I505301001_projection_datasheet.pdf

description: :unav
DOI: 10.57745/2cztpn
title: I345231001_projection_datasheet.pdf

description: :unav
DOI: 10.57745/3yowol
title: I220101001_projection_datasheet.pdf

description: :unav
DOI: 10.57745/546dgi
title: I335201001_projection_datasheet.pdf
DOI: 10.57745/63x137
title: I352102001_projection_datasheet.pdf

description: :unav
DOI: 10.57745/69ofiw
title: I510101001_projection_datasheet.pdf
DOI: 10.57745/6f7grl
title: I200101001_projection_datasheet.pdf

description: :unav
DOI: 10.57745/6nlhb3
title: I620102001_projection_datasheet.pdf

description: :unav
DOI: 10.57745/6nthkt
title: I923301100_projection_datasheet.pdf

description: :unav
DOI: 10.57745/8vgvls
title: I205103002_projection_datasheet.pdf

description: :unav
DOI: 10.57745/8wn22l
title: I722202001_projection_datasheet.pdf

description: :unav
DOI: 10.57745/a2h6yf
title: I220382002_projection_datasheet.pdf

description: :unav
DOI: 10.57745/a9s1iv
title: I711101001_projection_datasheet.pdf

description: :unav
DOI: 10.57745/ahfimo
title: I221103001_projection_datasheet.pdf
DOI: 10.57745/b5rbf1
title: I335201001_projection_datasheet.pdf

description: :unav
DOI: 10.57745/b6g4ux
title: I692301001_projection_datasheet.pdf

description: :unav
DOI: 10.57745/bdnhah
title: I216201001_projection_datasheet.pdf

description: :unav
DOI: 10.57745/cqul5y
title: I346301001_projection_datasheet.pdf

description: :unav
DOI: 10.57745/dukijz
title: I632201000_projection_datasheet.pdf

description: :unav
DOI: 10.57745/dunk4u
title: I103101001_projection_datasheet.pdf

description: :unav
DOI: 10.57745/emwq5r
title: I039000100_projection_datasheet.pdf

description: :unav
DOI: 10.57745/fcav1q
title: I102101001_projection_datasheet.pdf
DOI: 10.57745/g4bllh
title: I202101001_projection_datasheet.pdf

description: :unav
DOI: 10.57745/gxxrqr
title: I361206001_projection_datasheet.pdf

description: :unav
DOI: 10.57745/gz3kn6
title: I346202001_projection_datasheet.pdf
DOI: 10.57745/hkmz0t
title: I310301001_projection_datasheet.pdf

description: :unav
DOI: 10.57745/i2di0m
title: I535201001_projection_datasheet.pdf

description: :unav
DOI: 10.57745/i2gqef
title: I353101001_projection_datasheet.pdf
DOI: 10.57745/i2gwuu
title: I346202001_projection_datasheet.pdf

description: :unav
DOI: 10.57745/i84l2b
title: I502102001_projection_datasheet.pdf

description: :unav
DOI: 10.57745/ifpz3p
title: I523101001_projection_datasheet.pdf
DOI: 10.57745/igpxqt
title: I803202001_projection_datasheet.pdf

description: :unav
DOI: 10.57745/j3dudh
title: I903101001_projection_datasheet.pdf

description: :unav
DOI: 10.57745/kazhxj
title: I220382002_projection_datasheet.pdf
DOI: 10.57745/kehi2r
title: I512102001_projection_datasheet.pdf
DOI: 10.57745/krlcgg
title: I713101001_projection_datasheet.pdf

description: :unav
DOI: 10.57745/lbo4zm
title: I540151000_projection_datasheet.pdf

description: :unav
DOI: 10.57745/mqsxpr
title: I221103001_projection_datasheet.pdf

description: :unav
DOI: 10.57745/mw1op6
title: I922102001_projection_datasheet.pdf

description: :unav
DOI: 10.57745/nk1hu6
title: I510101001_projection_datasheet.pdf

description: :unav
DOI: 10.57745/nnxwtf
title: I512102001_projection_datasheet.pdf

description: :unav
DOI: 10.57745/no5boo
title: I202101001_projection_datasheet.pdf
DOI: 10.57745/nqrtcg
title: I103101001_projection_datasheet.pdf
DOI: 10.57745/nyyyn2
title: I110301001_projection_datasheet.pdf

description: :unav
DOI: 10.57745/oejy7p
title: I221101001_projection_datasheet.pdf
DOI: 10.57745/ojbudk
title: I371201001_projection_datasheet.pdf

description: :unav
DOI: 10.57745/olmpyh
title: I402201001_projection_datasheet.pdf

description: :unav
DOI: 10.57745/out2ki
title: I259100100_projection_datasheet.pdf

description: :unav
DOI: 10.57745/przjre
title: I923301001_projection_datasheet.pdf

description: :unav
DOI: 10.57745/pxlynw
title: I518000000_projection_datasheet.pdf

description: :unav
DOI: 10.57745/pzdjlr
title: I205103001_projection_datasheet.pdf

description: :unav
DOI: 10.57745/pzgxv5
title: I120301001_projection_datasheet.pdf
DOI: 10.57745/qd5uwp
title: I352102001_projection_datasheet.pdf
DOI: 10.57745/r9h6t8
title: I223000101_projection_datasheet.pdf

description: :unav
DOI: 10.57745/s0ucum
title: I361201001_projection_datasheet.pdf

description: :unav
DOI: 10.57745/sgfy6t
title: I522101001_projection_datasheet.pdf

description: :unav
DOI: 10.57745/t23c2p
title: I923301301_projection_datasheet.pdf

description: :unav
DOI: 10.57745/tif8gw
title: I039000100_projection_datasheet.pdf
DOI: 10.57745/tsyu5w
title: I361201001_projection_datasheet.pdf
DOI: 10.57745/ufkt8h
title: I353101001_projection_datasheet.pdf

description: :unav
DOI: 10.57745/v7hskn
title: I346201001_projection_datasheet.pdf
DOI: 10.57745/vmirsd
title: I205103001_projection_datasheet.pdf
DOI: 10.57745/vv8dol
title: I346201001_projection_datasheet.pdf

description: :unav
DOI: 10.57745/vxrsps
title: Notice_fiche_synthèse.pdf

description: :unav
DOI: 10.57745/wb9dkg
title: I345231001_projection_datasheet.pdf
DOI: 10.57745/wdjljl
title: I342201001_projection_datasheet.pdf

description: :unav
DOI: 10.57745/wgbme4
title: I111101000_projection_datasheet.pdf
DOI: 10.57745/wyhl06
title: I912201002_projection_datasheet.pdf

description: :unav
DOI: 10.57745/xdcgpb
title: I102101001_projection_datasheet.pdf

description: :unav
DOI: 10.57745/xlrjzt
title: I502102001_projection_datasheet.pdf
DOI: 10.57745/y3n2rv
title: I111101000_projection_datasheet.pdf

description: :unav
DOI: 10.57745/yheutx
title: I110301001_projection_datasheet.pdf
DOI: 10.57745/yxqdt7
title: I791361001_projection_datasheet.pdf

description: :unav
DOI: 10.57745/zqb82u
title: I532151001_projection_datasheet.pdf

description: :unav
DOI: 10.57745/zurk0x
title: I522101001_projection_datasheet.pdf
DOI: 10.57745/zwnhhn
title: I350101001_projection_datasheet.pdf

description: :unav
DOI: 10.57745/0qqke3
title: I402201001_projection_datasheet.pdf
DOI: 10.57745/4jemyr
title: I711101001_projection_datasheet.pdf
DOI: 10.57745/5jals9
title: I912201002_projection_datasheet.pdf
DOI: 10.57745/8e1vgx
title: I346301001_projection_datasheet.pdf
DOI: 10.57745/8mtwah
title: I923301001_projection_datasheet.pdf
DOI: 10.57745/aqfoq3
title: I523101001_projection_datasheet.pdf

description: :unav
DOI: 10.57745/auqcwh
title: I713101001_projection_datasheet.pdf
DOI: 10.57745/b9qiv3
title: I692301001_projection_datasheet.pdf
DOI: 10.57745/c5vjyw
title: I630202000_projection_datasheet.pdf
DOI: 10.57745/cfzg97
title: I803202001_projection_datasheet.pdf
DOI: 10.57745/dmcj3x
title: I518000000_projection_datasheet.pdf
DOI: 10.57745/e3fj0j
title: I722202001_projection_datasheet.pdf
DOI: 10.57745/e6sn59
title: I922102001_projection_datasheet.pdf
DOI: 10.57745/hns6f3
title: I220101001_projection_datasheet.pdf
DOI: 10.57745/hycocn
title: I216201001_projection_datasheet.pdf
DOI: 10.57745/jejp4g
title: I620102001_projection_datasheet.pdf
DOI: 10.57745/jhkout
title: I342201001_projection_datasheet.pdf
DOI: 10.57745/ksn4rh
title: I505301001_projection_datasheet.pdf
DOI: 10.57745/lkksse
title: I630202000_projection_datasheet.pdf

description: :unav
DOI: 10.57745/mbihvp
title: Notice_fiche_synthese_Explore2.pdf
DOI: 10.57745/mshsad
title: I259100100_projection_datasheet.pdf
DOI: 10.57745/n9ypjg
title: I903101001_projection_datasheet.pdf
DOI: 10.57745/p5v2de
title: I923301301_projection_datasheet.pdf
DOI: 10.57745/pgb4cy
title: I791361001_projection_datasheet.pdf
DOI: 10.57745/pqy9sy
title: I120301001_projection_datasheet.pdf

description: :unav
DOI: 10.57745/qr3u7e
title: I205103002_projection_datasheet.pdf
DOI: 10.57745/rspczc
title: I532151001_projection_datasheet.pdf
DOI: 10.57745/s44m5s
title: I632201000_projection_datasheet.pdf
DOI: 10.57745/sxtews
title: I310301001_projection_datasheet.pdf
DOI: 10.57745/ufvldc
title: Notice_fiche_synthese.pdf
DOI: 10.57745/umnhcy
title: I923301100_projection_datasheet.pdf
DOI: 10.57745/waml0j
title: I535201001_projection_datasheet.pdf
DOI: 10.57745/weptxp
title: I223000101_projection_datasheet.pdf
DOI: 10.57745/wi367s
title: I540151000_projection_datasheet.pdf
DOI: 10.57745/wkezbk
title: I361206001_projection_datasheet.pdf
DOI: 10.57745/ww0ezp
title: I200101001_projection_datasheet.pdf
DOI: 10.57745/xxw5tz
title: I350101001_projection_datasheet.pdf
DOI: 10.57745/xyx3i3
title: I403201001_projection_datasheet.pdf
DOI: 10.57745/yh47xz
title: Notice_fiche_synthÃ¨se_Explore2.pdf
DOI: 10.57745/z8h4sv
title: I371201001_projection_datasheet.pdf
DOI: 10.14288/1.0414216
title: Veterinarian perceptions on the care of surplus dairy calves

description: This study investigated the perspectives of Canadian cattle veterinarians on the care and management of surplus calves, as well as how they view their role in improving care. We conducted 10 focus groups with a total of 45 veterinarians from 8 provinces across Canada. Recorded audio files were transcribed, anonymized, and coded using thematic analysis. We found that veterinarians approached surplus calf management issues from a wide lens, with 2 major themes emerging: (1) problematic aspects of surplus calf management, including colostrum management, transportation, and euthanasia, and suggested management and structural solutions, including ways to improve the economic value of these calves, and (2) the veterinarian’s role in advising dairy farmers on the care of surplus calves, including on technical issues, and more broadly working with farmers to better address public concerns.
DOI: 10.14288/1.0416262
title: Behavioral “bycatch” from camera trap surveys yields insights on prey responses to human-mediated predation risk

description: &lt;b&gt;Abstract&lt;/b&gt;&lt;br/&gt;&lt;p&gt;Human disturbance directly affects animal populations but indirect effects of disturbance on species behaviors are less well understood. Camera traps provide an opportunity to investigate variation in animal behaviors across gradients of disturbance. We used camera trap data to test predictions about predator-sensitive behavior in three ungulate species (caribou Rangifer tarandus; white-tailed deer, Odocoileus virginianus; moose, Alces alces) across two boreal forest landscapes varying in disturbance. We quantified behavior as the number of camera trap photos per detection event and tested its relationship to predation risk between a landscape with greater industrial disturbance and predator abundance (Algar) and a “control” landscape with lower human and predator activity (Richardson). We also assessed the influence of predation risk and habitat on behavior across camera sites within the disturbed Algar landscape. We predicted that animals in areas with greater predation risk (more wolf activity, less cover) would travel faster and generate fewer photos per event, while animals in areas with less predation risk would linger (rest, forage), generating more photos per event. Consistent with predictions, caribou and moose had more photos per event in the landscape where predation risk was reduced. Within the disturbed landscape, no prey species showed a significant behavioral response to wolf activity, but the number of photos per event decreased for white-tailed deer with increasing line of sight (m) along seismic lines (i.e. decreasing visual cover), consistent with a predator-sensitive response. The presence of juveniles was associated with shorter behavioral events for caribou and moose, suggesting greater predator sensitivity for females with calves. Only moose demonstrated a positive association with vegetation productivity (NDVI), suggesting that for other species influences of forage availability were generally weaker than those from predation risk. Behavioral insights can be gleaned from camera trap surveys and provide information about animal responses to predation risk and the indirect impacts of human disturbances.&lt;/p&gt;
DOI: 10.15468/dl.uppg6p
title: Occurrence Download

description: A dataset containing 152530 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Canada",
 "Geometry POLYGON((-75 48,-62 48,-62 55,-75 55,-75 48))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 152530 records from 232 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000480-250424135625364/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.14288/1.0416266
title: Characteristics of the urban sewer system and rat presence in Seattle

description: &lt;b&gt;Abstract&lt;/b&gt;&lt;br/&gt;&lt;p&gt;Rats are abundant and ubiquitous in urban environments. There has been increasing attention to the need for evidence-based, integrated rat management and surveillance approaches because rats can compromise public health and impose economic costs. Yet there are few studies that characterize rat distributions in sewers and there are no studies that incorporate the complexity of sewer networks that encompass multiple sewer lines, all comprised of their own unique characteristics. To address this knowledge gap, this study identifies sewer characteristics that are associated with rat presence in the city of Seattle’s urban sewer system. We obtained sewer baiting data from 1752 geotagged manholes to monitor rat presence and constructed generalized additive models to account for spatial autocorrelation. Sewer rats were unevenly distributed across sampled manholes with clusters of higher rat presence at upper elevations, within sanitary pipes, narrower pipes, pipes at a shallower depth, and older pipes. These findings are important because identifying features of urban sewers that promote rat presence may allow municipalities to target areas for rat control activities and sewer maintenance. These findings suggest the need to evaluate additional characteristics of the surface environment and identify the factors driving rat movement within sewers, across the surface, and between the surface and the sewers. &lt;/p&gt;
DOI: 10.14288/1.0413695
title: Quantifying phenology and migratory behaviours of hummingbirds using single-site dynamics and mark-detection analyses

description: &lt;b&gt;Abstract&lt;/b&gt;&lt;br/&gt;&lt;p id="docs-internal-guid-d17f8f92-7fff-c03a-9581-1e40a8c25797" dir="ltr"&gt;Nuanced understanding of seasonal movements of partially migratory birds is paramount to species and habitat conservation. Using nascent statistical methods, we identified migratory strategies of birds outfitted with radio-frequency identification (RFID) tags detected at RFID feeders in two sites in California, USA. We quantified proportions of migrants and residents and the seasonal phenology for each movement strategy in Allen’s and Anna’s hummingbirds; we also validated our methodology by fitting our model to obligate migratory black-chinned hummingbirds. Allen’s and Anna’s hummingbirds exhibited characteristics of facultative migratory behaviour. We also quantified apparent annual survival for each migratory strategy and found that residents had significantly higher probabilities of apparent survival. Low survival estimates for migrants suggest that a high proportion of birds in the migrant group permanently emigrated from our study sites. Considered together, our analyses suggest that hummingbirds in both northern and southern California sites partake in diverse and highly plastic migratory behaviours. Our assessment elucidates the dynamics underlying idiosyncratic migratory behaviours of two species of hummingbirds, in addition to describing a framework for similar assessments of migratory behaviours using the multi-state open robust design with state uncertainty (MSORD-SU) model and single-site dynamics.&lt;/p&gt;
DOI: 10.14288/1.0416263
title: Data to accompany from: Effects of neonicotinoid seed treatments on wildbee populations and soybean and corn fields in eastern Ontario

description: &lt;b&gt;Abstract&lt;/b&gt;&lt;br/&gt;&lt;p&gt;&lt;span lang="EN-US"&gt;Neonicotinoid-coated corn and soybean seeds are a common crop in Canada and the US. A growing body of research is demonstrating that, through various exposure routes, neonicotinoids can impact a suite of non-target organisms including beneficial insects such as bees. However, to date, only a few studies have examined the effects of neonicotinoids in field settings. We assessed the relationship between agricultural crop soil neonicotinoid levels and wild bee abundance and diversity at 16 agricultural sites representing different soil neonicotinoid levels. We detected clothianidin at 11 sites, thiamethoxam at three sites; imidacloprid was not detected. Hedgerow and crop soils were consistent in terms of where clothianidin was detected; thiamethoxan was not detected in hedgerow soils. Based on model outcomes, fields with higher levels of soil neonicotinoids exhibited significantly lower wild bee abundance and diversity than those with low or no neonicotinoids detected. Crop soil neonicotinoid level, hedgerow floral resource abundance and crop type were consistent predictors of bee abundance across models; only neonicotinoid level and crop type were significant predictors of diversity. Our results are consistent with recent findings in the midwestern US, and underscore the potential risk of soil neonicotinoids to wild bee populations across regions and crop systems.&lt;/span&gt;&lt;/p&gt;