cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5061/dryad.1633c66
title: Data from: Spatial memory shapes migration and its benefits: evidence from a large herbivore

description: From fine-scale foraging to broad-scale migration, animal movement is
 shaped by the distribution of resources. There is mounting evidence,
 however, that learning and memory also guide movement. Although migratory
 mammals commonly track resource waves, how resource tracking and memory
 guide long-distance migration has not been reconciled. We examined these
 hypotheses using movement data from four populations of migratory mule
 deer (n=91). Spatial memory had an extraordinary influence on migration,
 affecting movement 2–28 times more strongly than tracking spring green-up
 or autumn snow depth. Importantly, with only an ability to track
 resources, simulated deer were unable to recreate empirical migratory
 routes. In contrast, simulated deer with memory of empirical routes, used
 those routes and obtained higher foraging benefits. For migratory
 terrestrial mammals, spatial memory provides knowledge of where seasonal
 ranges and migratory routes exist, while resource tracking determines when
 to beneficially move within those areas.
description: spring_dataSpring_data and Fall_data represent databases of used (denoted by column ‘case’ equal to 1) and available steps during spring and fall migration for mule deer in the Red Desert, San Juan Basin, Wyoming Range North, and Wyoming Range South of Wyoming, Idaho, New Mexico, and Colorado (USA) from approximately 2011-2018. The dataset is organized based on a step selection function framework, and can be analyzed using conditional logistic regression. These data were derived from relocations of GPS collared females. Program R was used to create the data file in July of 2019. Column headings exactly match the variables described in the associated publication in Ecology Letters. Please contact Jerod Merkle (jmerkle@uwyo.edu) at University of Wyoming for questions. If not available, please contact any of the authors listed in the associated publication in Ecology Letters.autumn_dataSpring_data and Fall_data represent databases of used (denoted by column ‘case’ equal to 1) and available steps during spring and fall migration for mule deer in the Red Desert, San Juan Basin, Wyoming Range North, and Wyoming Range South of Wyoming, Idaho, New Mexico, and Colorado (USA) from approximately 2011-2018. The dataset is organized based on a step selection function framework, and can be analyzed using conditional logistic regression. These data were derived from relocations of GPS collared females. Program R was used to create the data file in July of 2019. Column headings exactly match the variables described in the associated publication in Ecology Letters. Please contact Jerod Merkle (jmerkle@uwyo.edu) at University of Wyoming for questions. If not available, please contact any of the authors listed in the associated publication in Ecology Letters.
DOI: 10.5061/dryad.b63202v
title: Data from: Defensive posture in a terrestrial salamander deflects predatory strikes irrespective of body size

description: A wide variety of prey use defensive postures as a means of protection
 from predators. Many salamanders engage in broadly similar defensive
 postures, which may function as a warning signal and reduce the
 probability of attack, or may deflect predator attacks away from vital
 body parts. The extent to which these strategies (i.e. aposematism and
 deflection) act exclusively or synergistically, however, remains unknown.
 We deployed clay salamanders in the field, manipulating size (small,
 large) and posture (resting, defensive), and documented attack rates
 across three predator types. Competing risks analysis revealed that attack
 rates were affected by model size, deployment period, and leaf litter
 depth at the site of deployment, whereas model posture had no significant
 effect. Model size and posture did not interact, indicating that defensive
 posture was ineffective in deterring attack irrespective of prey size.
 Model prey in the defensive posture received significantly more attacks on
 the tail irrespective of size, and the defensive posture was more
 effective at deflecting avian attacks compared to mammal predation. We
 conclude that defensive posture increases tail conspicuousness without
 increasing predation risk, and primarily functions to deflect attacks away
 from vital body parts. The efficacy of defection may be further increased
 by tail undulation, however our use of static models means that we cannot
 exclude aposematic or deimatic functions for such movements. Our results
 provide important support for the deflection hypothesis in explaining
 antipredator behavior, and thereby set the stage for additional research
 targeting the functionality of attack deflection in natural predator-prey
 encounters.
description: Data for Publication -
 Clay salamander predation - Competing Risk AnalysisCollected in the
 fieldData for Publication -
 Body Section Attacked - Multinomial regressionData collected in the
 fieldData for Publication -
 Salamander Behavior - Logistic regressionData collected in the
 fieldData for Publication -
 Clay model detection - Linear mixed effectsData collected in the
 field from human participants
DOI: 10.5061/dryad.kk2sd41
title: Data from: State-space modeling reveals habitat perception of a small terrestrial mammal in a fragmented landscape

description: 1.Habitat loss is a major cause of species loss, and is expected to
 increase. Loss of habitat is often associated with fragmentation of
 remaining habitat. Whether species can persist in fragmented landcsapes
 may depend on their movement behaviour, which determines their capability
 to respond flexibility to changes in habitat structure and spatial
 distribution of patches. 2.Movement is frequently generalised to describe
 a total area used, or segmented to highlight resource use, often
 overlooking finer-scale individual behaviours. We applied hidden Markov
 models (HMM) to movement data from 26 eastern bettongs (Bettongia
 gaimardi) in fragmented landscapes. HMMs are able to identify distinct
 behaviour states associated with different movement patterns, and discover
 how these behaviours are associated with habitat features. 3.Three
 distinct behaviour states were identified and interepretated as denning,
 foraging and fast-travelling. The probability of occurrence of each state,
 and of transitions between them, were predicted by variation in
 tree-canopy cover and understorey vegetation density. Denning was
 associated with woodland with low canopy cover but high vegetation
 density, foraging with high canopy cover but low vegetation density, and
 fast-travelling with low canopy cover and low vegetation density.
 4.Bettongs did move outside woodland patches, often fast-travelling
 through pasture and using smaller stands of trees as stepping-stones
 between neighbouring patches. Males were more likely to fast-travel and
 venture outside woodland patches, while females concentrated their
 movement within woodland patches.5. Our work demonstrates the value of
 using animal movement to understand how animals respond to variation in
 habitat structure, including fragmentation. Analysis using HMMs was able
 to characterize distinct habitat types needed for foraging and denning,
 and identify landscape features that facilitate movement between patches.
 Future work should extend the use of individual movement analyses to guide
 management of fragmented habitat in ways that support persistence of
 species potentially threatened by habitat loss.
description: Gardiner-
 Habitat.Perception.Bettongs
DOI: 10.5061/dryad.629mf23
title: Data from: Reconstruction of the historical range alters niche estimates in an endangered rodent

description: Defining historical baselines is critical for species conservation. Under
 the niche reduction hypothesis, species in decline may be restricted
 disproportionately from parts of their environmental niche. This bias
 likely has important implications for modeling species’ distributions if
 only contemporary occurrences (i.e. post‐range reduction) are used,
 because suitable habitat will be classified as unsuitable. Unfortunately,
 robust historical occurrence data is rarely available for sensitive
 species. In this study, we documented historical locations of the
 endangered, keystone giant kangaroo rat Dipodomys ingens by examining
 aerial imagery for burrow mounds. These burrow mounds are readily
 identifiable and distinguishable from other soil disturbances. We found
 giant kangaroo rat burrows well outside the currently accepted estimate of
 their historical distribution. Following the niche reduction hypothesis,
 we found that giant kangaroo rats have been extirpated from the flattest,
 hottest, driest parts of their range due to agricultural conversion. This
 reduction in their realized niche led to significant changes between
 historical and contemporary models of their distribution. We found that
 giant kangaroo rats may have occupied up to 56% more habitat historically
 than currently believed. Our results provide new guidance for managers
 working on restoration and habitat protection for this ecosystem engineer.
 This study highlights the critical importance of modeling historical
 distributions using the entire environmental niche once occupied by
 species of conservation need.
description: Historical Locations
 ShapefileShapefile with 741
 historical giant kangaroo rat (Dipodomys ingens) locations derived from
 surveys of historical aerial imagery, 1930-1958.Rutrough_giant_kangaroo_rat_historical_locations_1930-1958.zipTop Model Maxent OutputMaxent output from top model of giant kangaroo rat historical range (&lt;1960). Model built using points from historical aerial imagery surveys and historical mean annual precipitation, slope and percent slit in soil as predictor variables.Rutrough_giant_kangaroo_rat_historical_range_top_model_maxent_output.zipWilliams 1992 Range MapShapefile of existing historical range map from Williams (1992, Geographic distribution and population status of the giant kangaroo rat, Dipodomys ingens)Williams_1992_giant_kangaroo_rat_range_map.zipModel Predictor RastersRasters used as predictor variables in Maxent modelingRutrough_giant_kangaroo_rat_historical_range_model_predictor_rasters.zip
DOI: 10.5061/dryad.8mm06md
title: Data from: Evaluating Devonian bioregionalisation: quantifying biogeographic areas

description: The work of Arthur J. Boucot (1924-2017) is foundational to Devonian
 biogeography. Cited over 1000 times and mentioned in excess of 105, 000
 times, his classification of the Old World, Eastern Americas, and
 Malvinokaffric realms have become the framework for Devonian biogeographic
 and faunal studies. This study is the first to test and quantify the
 biotic area classification using the distributional data of trilobite,
 brachiopod, and fish taxa across the Lower, Middle, and Late Devonian. The
 biotic similarity analysis of 676 genera (ca. 30, 000 occurrences) of Late
 Silurian (Ludlow-Pridoli) and Devonian taxa represents the largest
 quantification of distributional data undertaken in Devonian biogeography.
 The Temporal Area Approach (TAAp), applied here for the first time, failed
 to recover in the area phenogram many of the realms and regions used by
 Devonian biogeographers, excepting the Mavinokaffric realm, across the
 entirety of the Devonian. The Old World and Western Gondwana realms are
 found to be artificial and in need of revision. Without natural areas,
 bioregionalisations (area classifications) become unstable and unusable,
 resulting in authors creating further artificial regions and provinces.
 This study offers a better solution, namely to identify artificial areas
 in existing area classifications using TAAp and biotic similarity analysis
 and revise them. Area classifications are modelled on taxonomic process
 and the movement toward revision is necessary to break the cycle of
 reinvention of realms and regions within bioregionalisation.
description: Dowding_Ebach_Occurrence_DevonianLate Silurian and Devonian occurrence data for vertebrates, trilobites,and brachiopodsDowding_Ebach_Appendix.xlsx
DOI: 10.5061/dryad.vd34vr3
title: Data from: Trophy hunters pay more to target larger-bodied carnivores

description: Hunters often target species that require resource investment
 disproportionate to associated nutritional rewards. Costly signalling
 theory provides a potential explanation, proposing that hunters target
 species that impose high costs (e.g. higher failure and injury risks,
 lower consumptive returns) because it signals an ability to absorb costly
 behaviour. If costly signalling is relevant to contemporary ‘big game’
 hunters, we would expect hunters to pay higher prices to hunt taxa with
 higher perceived costs. Accordingly, we hypothesized that hunt prices
 would be higher for taxa that are larger-bodied, rarer, carnivorous, or
 described as dangerous or difficult to hunt. In a data set on 721 guided
 hunts for fifteen North American large mammals, prices listed online
 increased with body size in carnivores (from approximately $550 to $1800
 USD/day across the observed range). This pattern suggests that elements of
 costly signals may persist among contemporary non-subsistence hunters.
 Persistence might simply relate to deception, given that signal honesty
 and fitness benefits are unlikely in such different conditions compared
 with ancestral environments in which hunting behaviour evolved. If
 larger-bodied carnivores are generally more desirable to hunters, then
 conservation and management strategies should consider not only the
 ecology of the hunted but also the motivations of hunters.
description: Prices (USD) charged by
 guides in North American provinces and states to hunt North American big
 game species, and predictor data on species
 characteristicsA data file used in all
 of the figures and analyses that appear in the paper. It contains prices
 advertised online for guided hunts of 15 North American big game species
 used in our study, and the jurisdictions for the offered hunts. It also
 includes data collected on our predictor variables: average male body
 mass, conservation status, classification (ungulate or carnivore), and
 presence or absence of ‘difficult or dangerous’ SCI hunt
 descriptions.Mihalikdata.csvMihalik et al - Supplementary codeAn R file that includes code for generating the figures and analyses in the manuscript.
DOI: 10.5061/dryad.bp27sd7
title: Data from: Population analysis reveals genetic structure of an invasive agricultural thrips pest related to invasion of greenhouses and suitable climatic space

description: Biological invasions of pests into climatically unsuitable areas can be
 facilitated by human-regulated environments, in which case there may be an
 impact on genetic structure through population processes and/or
 adaptation. Here, we investigated the population genetic structure of an
 invasive agricultural pest, Thrips palmi, in China, which has expanded its
 distribution range through using greenhouses. Early-invaded populations
 showed a relatively higher level of genetic diversity than
 recently-expanded greenhouse populations. Strong population genetic
 structure corresponded to a pattern of isolation by distance, with no
 recent gene flow and low historical gene flow among populations,
 reflecting limited ongoing dispersal. A genetic signature of population
 expansion was detected in early invaded populations and three northern
 populations from greenhouses, suggesting that the greenhouse environments
 facilitated expansion of this species. Redundancy analysis showed that the
 independent effects of environment and geography could explain 51.68% and
 32.06% of the genetic variance, respectively. These findings point to
 climate- and greenhouse-related spatial expansion, with the potential for
 adaptation by T. palmi. They emphasize the contribution of human-regulated
 environments to the successes of this invasive species, a situation likely
 to apply to other invasive species that use greenhouse environments.
description: tp_mtDNA_11haplotypes_15popMitochonrial haplotype identified in the studytp_all26ssr_15pop_348individuals_genepopMicrosatellite loci for 15 populations of Thrips palmitp_perfect22ssr_15pop_348individuals_genepopPerfect microsatellites for the 15 populations of Thrips palmitp_15pop_348individual_locationsGeographical location for all individuals of Thrips palmi used in the studytp_mtDNA_15popMitochondrial cox1 gene for all individual of Thrips palmitp_rda_input_22ssr_348individualsGenetic data for RDA analysistp_rda_input_env.15pops.348individuals.21vars.2habit.genpopEnvironmental data for RDA analysistp_rda_scriptsScripts for RDA analysis
DOI: 10.5061/dryad.6c8sk60
title: Data from: The guiding role of pre-coking on the coke deposition over ZSM-5 in methanol to propylene

description: Deposition of carbonaceous compounds was used to improve the propylene
 selectivity of ZSM-5 by deactivating some acid sites meanwhile maintaining
 the high activity for methanol conversion. The carbonaceous species of
 pre-coked samples before and after MTP reactions were investigated by
 elementary analysis and Thermo Gravimetric Analyzer (TGA). The results
 showed that pre-coke formed at low temperature (250 ℃) was unstable and
 easily to transform into polyaromatics species at the high reacting
 temperature. While combing 5% pre-coking process with 95% stream treatment
 at high temperature (480 ℃) was effective in inhibiting the formation of
 coke deposits and presented an significant improvement in the propylene
 selectivity.
description: Electronic files-The
 Guiding Role of Pre-coking on the Coke Deposition over ZSM-5 in Methanol
 to Propylene-RSOS-190218.R1This folder includes all
 the raw data of this manuscript and the data descriptions of the figures
 and tables which mentioned in the manuscript. The Zip file contains 14 txt
 files which are raw data of Figure 1,2,3,4 in the manuscript, and 6 doc
 files which describe the data of Figure 1,2,3,4 and Tablie
 1,2.
DOI: 10.3886/e207202v3-198140
title: Numerical Identification Files (NUMIDENT), 1936–2007

description: <b><br>Description:</b><br><br>This data deposit contains the Numerical Identification Death Files (National Archives Identifier 23845618), the NUMIDENT SS-5 Application Files (National Archives Identifier 23845613), the NUMIDENT Claims Files (National Archives Identifier 23852747), and the associated technical documentation. <br><br><b>Data Acquisition:</b><br><br>These files were e-delivered to Anthony Wray via secure link by the Electronic Records Division of the National Archives and Records Administration (NARA) on 17 October 2019, as per a digitized reproduction order (Quote QO1-525370500 and Quote QO1-528389077). The packing slip is included in the data deposit (docs/Packing Slip.PDF).<br><br><b>Rights to Publish:</b><br><br>The data are in the public domain, as confirmed by emails received from NARA on 28 December 2023 and 3 January 2024 (see docs/permission_to_publish_email.pdf).<br><b>How to Cite: <br></b><br>Please adhere to the citation and data usage guidelines when using this dataset. See the included LICENSE.txt and README.md files for details. <br><br><b>Details:</b><br><br>The Numerical Identification Files (NUMIDENT), 1936–2007, series contains records for every Social Security number (SSN) assigned to individuals with a verified death or who would have been over 110 years old by December 31, 2007. There are three types of entries in NUMIDENT: application (SS-5), claim, and death records. A NUMIDENT record may contain more than one entry.
<br><br>Information contained in NUMIDENT records includes: each applicant's full name, SSN, date of birth, place of birth, citizenship, sex, father's name, mother's maiden name, and race/ethnic description (optional). NUMIDENT includes information regarding any subsequent changes made to the applicant's record, including name changes and life or death claims.
<br><br>The death records in NUMIDENT do not include any State reported deaths in accordance with the Social Security Act section 205(r). There are 72,182,729 SS-5 records entries; 25,230,486 claim record entries; and 49,459,293 death record entries.<br><br>See https://catalog.archives.gov/id/12004494 for more information.<br><br><b>Related Data:<br></b><br>Visit the CenSoc Project for public micro datasets linked to NUMIDENT: https://censoc.berkeley.edu/.<br><br><br>
description: This series contains records for every social security number (SSN) assigned to individuals with a verified death or who would have been over 110 years old by December 31, 2007.
description: The agency created and maintained these records for the purpose of tracking the earnings of U.S. workers and determining benefit entitlements as established under the Social Security Act of 1935.<br><br>See https://catalog.archives.gov/id/12004494 for more information.
DOI: 10.5061/dryad.j943d68
title: Data from: Analysing the dynamics and relative influence of variables affecting ecosystem responses using functional PCA and boosted trees: a seagrass case study

description: 1. Understanding the relative influence of variables on ecosystem
 responses and the dynamics of their effect is necessary for effective
 ecosystem monitoring and management. Also known as causal pathways
 anlaysis, we develop an approach using functional Principal Components
 Analysis (fPCA) and machine learning within a scenario analysis framework.
 2. fPCA is used to identify most influential variables for correlated,
 non-homogenoeus and non-linear time series data characteristic of complex
 ecosystems. Hierarchical clustering of fPCA scores reveals groups of more
 homogeneous scenarios and similarly influential variables. The resultant
 subset of variables helps to overcome model identifiability problems when
 analysing time-lagged effects using Boosted Regression Trees (BRT). 3. We
 use simulated data generated by a Dynamic Bayesian Network (DBN) of
 ecological windows for seagrass ecosystems given dredging stressors; 3024
 scenarios with 75 state variables are analysed. The BRT demonstrated a
 high level of fit ((R^2≈0.97,MSE≈0.16), supporting the validity of
 influential variables identified by fPCA. Influential variables identified
 included genus, location type, light, growth and seed. Six consecutive
 months of positive growth and adequate light were important for predicting
 states of high or moderate population. 4. Compared to traditional scenario
 analysis and sensitivity analysis approaches, our approach simultaneously
 enabled capture of n-way interactions while accounting for time
 correlations. Although some variables and their dynamics agreed with
 existing knowledge, new variables and/or time lags of their effects were
 identified, corresponding to opportunities for further investigation as
 well as informing monitoring and management. Although our method was
 demonstrated on state variables with DBN simulated data, it is equally
 applicable to general time series data.
description: Seagrass case study
 dataThe outputs of the
 Dynamic Bayesian Network (DBN) for the seagrass case study is stored in
 the data file in the variable D. As per section 2 of the paper, the
 dimensions of D are 96 (time slices) by 3024 (scenarios) by 75 (state
 variables).data.RdataSeagrass case study codeThis is the accompanying R script to the "seagrass case study data" data file. It reproduces all the analysis in the paper and generates the plots.wuetal_fda.R