cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5061/dryad.n5tb2rbx7
title: Estimating the abundance of the critically endangered Baltic Proper harbour porpoise (Phocoena phocoena) population using passive acoustic monitoring

description: Knowing the abundance of a population is a crucial component to assess its
 conservation status and develop effective conservation plans. For most
 cetaceans, abundance estimation is difficult given their cryptic and
 mobile nature, especially when the population is small and has a
 transnational distribution. In the Baltic Sea, the number of harbour
 porpoises (Phocoena phocoena) has collapsed since the mid-20th century and
 the Baltic Proper harbour porpoise is listed as Critically Endangered by
 the IUCN and HELCOM; however, its abundance remains unknown. Here, one of
 the largest ever passive acoustic monitoring studies was carried out by
 eight Baltic Sea nations to estimate the abundance of the Baltic Proper
 harbour porpoise for the first time. By logging porpoise echolocation
 signals at 298 stations during May 2011-April 2013, calibrating the
 loggers’ spatial detection performance at sea, and measuring the click
 rate of tagged individuals, we estimated an abundance of 71-1,105
 individuals (95% CI, point estimate 491) during May-October within the
 population’s proposed management border. The small abundance estimate
 strongly supports that the Baltic Proper harbour porpoise is facing an
 extremely high risk of extinction, and highlights the need for immediate
 and efficient conservation actions through international cooperation. It
 also provides a starting point in monitoring the trend of the population
 abundance to evaluate the effectiveness of management measures and
 determine its interactions with the larger neighbouring Belt Sea
 population. Further, we offer evidence that design-based passive acoustic
 monitoring can generate reliable estimates of the abundance of rare and
 cryptic animal populations across large spatial scales.
description: Four main datasets are provided, together with meta-data and
 processing code files. 1. SAMBAH main survey: passive
 acoustic monitoring data collected by CPOD click loggers in the Baltic Sea
 May 2011-April 2013. 2. Great Belt tracking experiment:
 detection/nondetection of acoustically tracked harbour porpoises May-June
 2013 in Great Belt, Denmark. 3. Playback experiment:
 detection/nondetection of artificial clicks produced to estimate click
 detectability during the SAMBAH main survey and Great Belt tracking
 experiment. 4. Tagging study: click production and
 depth data from 6 tagged porpoises in Danish waters between May 2010 and
 April 2011.
description: See readme.txt file.
DOI: 10.5061/dryad.q2bvq83mf
title: The impact of molecular data on the phylogenetic position of the putative oldest crown crocodilian and the age of the clade

description: The use of molecular data for living groups is vital for interpreting
 fossils, especially when morphology-only analyses retrieve problematic
 phylogenies for living forms. These topological discrepancies impact on
 the inferred phylogenetic position of many fossil taxa. In Crocodylia,
 morphology-based phylogenetic inferences differ fundamentally in placing
 Gavialis basal to all other living forms, whereas molecular data
 consistently unite it with crocodylids. The Cenomanian Portugalosuchus
 azenhae was recently described as the oldest crown crocodilian, with
 affinities to Gavialis, based on morphology-only analyses, thus
 representing a potentially important new molecular clock calibration. Here
 we performed analyses incorporating DNA data into these morphological
 datasets, using scaffold and supermatrix (total evidence) approaches, in
 order to evaluate the position of basal crocodylians including
 Portugalosuchus. Our analyses incorporating DNA data robustly recovered
 Portugalosuchus outside Crocodylia (as well as thoracosaurs, planocraniids
 and Borealosuchus spp.), questioning the status of Portugalosuchus a crown
 crocodilian and any future use as a node calibration in molecular clock
 studies. Finally, we discuss how, with the increasing size of phylogenomic
 datasets, the molecular scaffold might be an efficient (though imperfect)
 approximation of more rigorous but demanding supermatrix analyses.
DOI: 10.5061/dryad.fn2z34tw6
title: Supporting data for: Planted conifer seedling survival in a post-wildfire landscape in New Mexico: From experimental planting to predictive probabilistic surfaces

description: Across the southwestern United States, high-severity wildfire is causing
 increasingly large patches of tree mortality, removing the seed sources
 required for the natural regeneration of these formerly conifer-dominated
 landscapes. Planting tree seedlings can accelerate succession and restore
 the ecosystem services that pre-wildfire forests provided, but in the
 semi-arid southwestern US, the survival of planted conifer seedlings is
 typically low. We present data on a seedling planting experiment within
 the footprint of the 2011 Las Conchas Fire in northern New Mexico, using
 microclimate variables and site-level topographic indices to determine
 which factors influence seedling survival of four conifer tree species. We
 then extrapolate these findings to the wider landscape for the most
 commonly planted species, producing a spatial projection of probabilistic
 seedling survival as a function of both site- and landscape-scale factors,
 using readily available topographic data. Both sets of analyses highlight
 the importance of landscape heterogeneity, quantifiable using topographic
 indices, in shaping microclimatic environments and affecting seedling
 survival in a predictable manner. Our results demonstrate that using these
 methods to guide future plantings may increase conifer tree seedling
 survival in high-severity post-wildfire landscapes.
description: Data include planted seedling survival data from a 3-year
 experiment that included planting four species of tree seedling stratified
 by aspect (northerly, southerly) and vegetation cover (under shrubs, in
 the open). Associate measurements of microclimate variables, including
 temperature, relative humidity, and precipitation are also included.
 Experimental planting data were analyzed using piecewise exponential
 models. Spatially modeling the probability of planted seedling survival as
 a function of topography involved the use of DEM and other remotely sensed
 data, planted seedling survival data for ponderosa pin, and boosted
 regression trees.
DOI: 10.25338/b8433w
title: Local adaptation in a marine foundation species: implications for resilience to future global change

description: Environmental change is multidimensional, with local anthropogenic
 stressors and global climate change interacting to differentially impact
 populations throughout a species’ geographic range. Within species, the
 spatial distribution of phenotypic variation and its causes (i.e. local
 adaptation or plasticity) will determine species’ adaptive capacity to
 respond to a changing environment. However, comparatively little is known
 about the spatial scale of adaptive differentiation among populations and
 how these patterns of local adaptation might drive vulnerability to global
 change stressors. To test whether fine-scale (2 - 12 km) mosaics of
 environmental stress can cause adaptive differentiation in a marine
 foundation species, eelgrass (Zostera marina), we conducted a three-way
 reciprocal transplant experiment spanning the length of Tomales Bay, CA.
 Our results revealed strong home-site advantage in growth and survival for
 all three populations. In subsequent common garden experiments and feeding
 assays we show that counter-gradients in temperature, light availability,
 and grazing pressure from an introduced herbivore contribute to
 differential performance among populations consistent with local
 adaptation. Our findings highlight how local-scale mosaics in
 environmental stressors can increase phenotypic variation among
 neighboring populations, potentially increasing species resilience to
 future global change. More specifically, we identified a range-center
 eelgrass population that is pre-adapted to extremely warm temperatures
 similar to those experienced by low-latitude range-edge populations of
 eelgrass, demonstrating how reservoirs of heat-tolerant phenotypes may
 already exist throughout a species range. Future work on
 predicting species resilience to global change should incorporate
 potential buffering effects of local-scale population differentiation and
 promote a phenotypic management approach to species conservation.
description: See DuBois et al 2022 Global Change Biology
DOI: 10.5061/dryad.wdbrv15qn
title: Data from: The rising moon promotes mate finding in moths

description: To counteract insect decline, it is essential to understand the underlying
 causes, especially for key pollinators such as nocturnal moths whose
 ability to orientate can easily be influenced by ambient light conditions.
 These comprise natural light sources as well as artificial light, but
 their specific relevance for moth orientation is still unknown. We
 investigated the influence of moonlight on the reproductive behavior of
 privet hawkmoths (Sphinx ligustri) at a relatively dark site where the
 Milky Way was visible while the horizon was illuminated by distant light
 sources and skyglow. We show that male moths use the moon for orientation
 and reach females significantly faster with increasing moon elevation.
 Furthermore, the choice of flight direction depended on the cardinal
 position of the moon but not on the illumination of the horizon caused by
 artificial light, indicating that the moon plays a key role in the
 orientation of male moths.
DOI: 10.5061/dryad.sbcc2fr7x
title: Coevolution of relative brain size and life expectancy in parrots

description: Previous studies have demonstrated a correlation between longevity and
 brain size in a variety of taxa. Little research has been devoted to
 understanding this link in parrots; yet parrots are well-known for both
 their exceptionally long lives and cognitive complexity. We employed a
 large-scale comparative analysis that investigated the influence of brain
 size and life history variables on longevity in parrots. Specifically, we
 addressed two hypotheses for evolutionary drivers of longevity:
 the Cognitive Buffer Hypothesis, which proposes that increased
 cognitive abilities enable longer life spans, and the Expensive
 Brain Hypothesis, which holds that increases in life span are caused by
 prolonged developmental time of, and increased parental investment in,
 large-brained offspring. We estimated life expectancy from
 detailed zoo records for 133,818 individuals across 244
 parrot species. Using a principled Bayesian approach that addresses data
 uncertainty and imputation of missing values, we found a consistent
 correlation between relative brain size and life expectancy in parrots.
 This correlation was best explained by a direct effect of relative brain
 size. Notably, we found no effects of developmental time, clutch size, or
 age at first reproduction. Our results suggest that selection for enhanced
 cognitive abilities in parrots have in turn promoted longer lifespans.
description: Data was collected from zoo records (Species360 ZIMS, with
 permission), museum specimens and from the litterture. Data has been
 processed with bespoke Bayesian models. Raw data is avaible when possible
 (some data is sensitive). Intermediate data and final results are
 available. Code is available. 
description: Readme's are included with instruction on how to reproduce
 the steps.
DOI: 10.5061/dryad.bg79cnpc9
title: Data from: Risk of cancer with angiotensin-receptor blockers increases with increasing cumulative exposure: Meta-regression analysis of randomized trials

description: Angiotensin-receptor blockers (ARBs) are a class of drugs approved for the
 treatment of several common conditions, such as hypertension and heart
 failure. Recently, regulatory agencies have started to identify possibly
 carcinogenic nitrosamines and azido compounds in a multitude of
 formulations of several ARBs, resulting in progressive recalls.
 Furthermore, data from several randomized controlled trials suggested that
 there is also a clinically increased risk of cancer and specifically lung
 cancer with ARBs; whereas other trials suggested no increased risk. The
 purpose of this analysis was to provide additional insight into the
 ARB-cancer link by examining whether there is a relationship between
 degree of cumulative exposure to ARBs and risk of cancer in randomized
 trials. Trial-level data from ARB Trialists Collaboration including 15
 randomized controlled trials was extracted and entered into
 meta-regression analyses. The two co-primary outcomes were the
 relationship between cumulative exposure to ARBs and risk of all cancers
 combined and the relationship between cumulative exposure and risk of lung
 cancer. A total of 74,021 patients were randomized to an ARB resulting in
 a total cumulative exposure of 172,389 person-years of exposure to daily
 high dose (or equivalent). 61,197 patients were randomized to control.
 There was a highly significant correlation between the degree of
 cumulative exposure to ARBs and risk of all cancers combined (slope=0.07
 [95% CI 0.03 to 0.11], p&lt;0.001), and also lung cancer (slope=0.16
 [95% CI 0.05 to 0.27], p=0.003). Accordingly, in trials where the
 cumulative exposure was greater than 3 years of exposure to daily high
 dose, there was a statistically significant increase in risk of all
 cancers combined (I2=31.4%, RR 1.11 [95% CI 1.03 to 1.19], p=0.006). There
 was a statistically significant increase in risk of lung cancers in trials
 where the cumulative exposure was greater than 2.5 years (I2=0%, RR 1.21
 [95% CI 1.02 to 1.44], p=0.03). In trials with lower cumulative exposure
 to ARBs, there was no increased risk of all cancers combined or lung
 cancer. Cumulative exposure-risk relationship with ARBs was independent of
 background angiotensin-converting enzyme inhibitor treatment or the type
 of control (i.e. placebo or non-placebo control). Since this is a
 trial-level analysis. the effects of patient characteristics such as age
 and smoking status could not be examined due to lack of patient-level
 data. In conclusion, this analysis, for the first time, reveals that risk
 of cancer with ARBs (and specifically lung cancer) increases with
 increasing cumulative exposure to these drugs. The excess risk of cancer
 with long-term ARB use has public health implications.
DOI: 10.5061/dryad.2bvq83brr
title: Data for: Improving estimates of land protection costs in a tropical biodiversity hotspot

description: Accurate estimates of the cost of land protection are useful for
 understanding where biodiversity conservation goals can be achieved at the
 lowest cost to society. However, because good cost maps are rare in
 tropical countries, conservation planning studies often ignore cost or
 rely on untested proxies, such as agricultural rent or land use intensity.
 Here, we show how analysts can estimate land protection costs using
 original data of public land acquisitions, global predictor datasets, and
 simple machine-learning models. For the Colombian Andes, a global
 biodiversity hotspot, we find that the principal driver of land protection
 cost is urban proximity, not agricultural rent. We derive cost estimates
 that predict public land protection costs more accurately than available
 cost proxies and identify new protection priorities for 143 threatened
 bird species. A more systematic collection of cost records of land
 protection will help inform public decisions on national and global
 biodiversity protection priorities.
description: See manuscript.
DOI: 10.25338/b8vk84
title: Dataset of microtransit consumer market in the Sacramento Area, California

description: A new transit business model, microtransit, with inclusion of technology
 innovations is emerging in the market. Given its potential to address the
 equity, accessibility, and environmental needs of the public, public
 transportation agencies are experimenting with real-life models of this
 service to fill gaps in traditional transit in the US. However, why some
 people are interested in microtransit while other are not, remains an open
 question. What factors could strengthen or discourage a microtransit
 adopter to continue to use it? Who are these early adopters of
 microtransit? Previous literature has explored limited factors that
 influence microtransit ridership, such as availability and accessibility,
 wait time, app, and booking system. Guided by the theory of planned
 behavior, this study aims to fill the gap by conducting a large-scale
 survey focus on microtransit adopters and other means of transportation
 users in the Sacramento area of California in 2021 to address these
 research questions. The results will help transportation planners better
 understand important factors that influence the adoption and use of
 microtransit, and thereby make well-informed decisions to encourage this
 new business model in the future.
DOI: 10.15468/dl.2cafds
title: Occurrence Download

description: A dataset containing 44125 records in GBIF matching the query:
SELECT
 '469' AS fish_cell,
 GBIF_MGRSCode(1000, decimalLatitude, decimalLongitude, 0) AS cell, -- NO randomization
 COUNT(DISTINCT speciesKey) AS species_richness
 FROM occurrence
 WHERE hasCoordinate = TRUE
 AND speciesKey IS NOT NULL
 AND NOT ARRAY_CONTAINS(issue, 'ZERO_COORDINATE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_OUT_OF_RANGE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_INVALID')
 AND NOT ARRAY_CONTAINS(issue, 'COUNTRY_COORDINATE_MISMATCH')
 AND decimalLatitude &gt;= 46.479780028101516
 AND decimalLatitude &lt;= 51.21395264452012
 AND decimalLongitude &gt;= -66.81438016390939
 AND decimalLongitude &lt;= -56.64958282616588
 AND "year" &gt;= 2015
 AND "year" &lt;= 2026
 AND (coordinateUncertaintyInMeters &lt;= 100 OR coordinateUncertaintyInMeters IS NULL)
 GROUP BY fish_cell, cell

 The dataset's 44125 records were derived from 135 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003031-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17182/hepdata.153409.v1/t10
title: "Table 10" of "Search for the Chiral Magnetic Effect with charge-dependent azimuthal correlations in Xe-Xe collisions at $\sqrt{s_{\mathrm{NN}}} = 5.44$ TeV"

description: $\langle \cos(\varphi_{\alpha} + \varphi_{\beta} - 2\Psi_{2}) \rangle$ (same charge pairs) as a function of average transverse momentum $(p_{\rm T_{\alpha}}+p_{\rm T_{\beta}})/2$ in 20-30% Xe-Xe collisions at $\sqrt{s_{\rm NN}} = 5.44$ TeV.
description: Charge-dependent two- and three-particle correlations measured in Xe-Xe collisions at $\sqrt{s_{\mathrm{NN}}} = 5.44$ TeV are presented. Results are obtained for charged particles in the pseudorapidity range $|\eta|&lt;0.8$ and transverse momentum interval $0.2 \le p_{\rm T} &lt; 5.0$ GeV/$c$ for different collision centralities. The three-particle correlator $\gamma_{\alpha\beta} \equiv \langle \cos(\varphi_\alpha + \varphi_\beta - 2\Psi_2) \rangle$, calculated for different combinations of charge sign $\alpha$ and $\beta$, is expected to be sensitive to the presence of the Chiral Magnetic Effect (CME). Its magnitude is similar to the one observed in Pb-Pb collisions in contrast to a smaller CME signal in Xe-Xe collisions than in Pb-Pb collisions predicted by Monte Carlo (MC) calculations including a magnetic field induced by the spectator protons. These observations point to a large non-CME contribution to the correlator. Furthermore, the charge dependence of $\gamma_{\alpha\beta}$ can be described by a blast wave model calculation that incorporates background effects and by the Anomalous Viscous Fluid Dynamics model with values of the CME signal consistent with zero. The Xe-Xe and Pb-Pb results are combined with the expected CME signal dependence on the system size from the MC calculations including a magnetic field to obtain the fraction of CME contribution in $\gamma_{\alpha\beta}$, $f_{\rm CME}$. The CME fraction is compatible with zero for the most 30% central events in both systems and then becomes positive; averaging over the 0-70% centrality interval yields an upper limit of 2% (3%) and 25% (32%) at 95% (99.7%) confidence level for the CME signal contribution to $\gamma_{\alpha\beta}$ in Xe-Xe and Pb-Pb collisions, respectively.
DOI: 10.17182/hepdata.153409.v1/t11
title: "Table 11" of "Search for the Chiral Magnetic Effect with charge-dependent azimuthal correlations in Xe-Xe collisions at $\sqrt{s_{\mathrm{NN}}} = 5.44$ TeV"

description: $\langle \cos(\varphi_{\alpha} - \varphi_{\beta}) \rangle$ (opposite-same charge pairs) as a function of centrality in Xe-Xe collisions at $\sqrt{s_{\rm NN}} = 5.44$ TeV.
description: Charge-dependent two- and three-particle correlations measured in Xe-Xe collisions at $\sqrt{s_{\mathrm{NN}}} = 5.44$ TeV are presented. Results are obtained for charged particles in the pseudorapidity range $|\eta|&lt;0.8$ and transverse momentum interval $0.2 \le p_{\rm T} &lt; 5.0$ GeV/$c$ for different collision centralities. The three-particle correlator $\gamma_{\alpha\beta} \equiv \langle \cos(\varphi_\alpha + \varphi_\beta - 2\Psi_2) \rangle$, calculated for different combinations of charge sign $\alpha$ and $\beta$, is expected to be sensitive to the presence of the Chiral Magnetic Effect (CME). Its magnitude is similar to the one observed in Pb-Pb collisions in contrast to a smaller CME signal in Xe-Xe collisions than in Pb-Pb collisions predicted by Monte Carlo (MC) calculations including a magnetic field induced by the spectator protons. These observations point to a large non-CME contribution to the correlator. Furthermore, the charge dependence of $\gamma_{\alpha\beta}$ can be described by a blast wave model calculation that incorporates background effects and by the Anomalous Viscous Fluid Dynamics model with values of the CME signal consistent with zero. The Xe-Xe and Pb-Pb results are combined with the expected CME signal dependence on the system size from the MC calculations including a magnetic field to obtain the fraction of CME contribution in $\gamma_{\alpha\beta}$, $f_{\rm CME}$. The CME fraction is compatible with zero for the most 30% central events in both systems and then becomes positive; averaging over the 0-70% centrality interval yields an upper limit of 2% (3%) and 25% (32%) at 95% (99.7%) confidence level for the CME signal contribution to $\gamma_{\alpha\beta}$ in Xe-Xe and Pb-Pb collisions, respectively.