cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25338/b8c64g
title: Role of vehicle technology on use: Joint analysis of the choice of plug-in electric vehicle ownership and miles traveled

description: The increasing diversity of vehicle type holdings and growing demand for
 BEVs and PHEVs have serious policy implications for travel demand and air
 pollution. Consequently, it is important to accurately predict or estimate
 the preference for vehicle holdings of households as well as the vehicle
 miles traveled by vehicle body and fuel type to project future VMT changes
 and mobile source emission levels. The current report presents the
 application of a utility-based model for multiple discreteness that
 combines multiple vehicle types with usage in an integrated model,
 specifically the MDCEV model. We use the 2019 California Vehicle Survey
 data here that allows us to analyze the driving behavior associated with
 more recent EV models (with potentially longer ranges). Important findings
 from the model include: Household characteristics like size or having
 children have an expected impact on vehicle preference: larger vehicles
 are preferred. College education, rooftop solar ownership, and the number
 of employed workers in a household affect the preference for BEVs and
 PHEVs in the small car segment dominated by the Leaf, Bolt, Prius-Plug-in
 and the Volt often used as a commuter car. Among built environment
 factors, population density and the walkability index of a neighborhood
 have a statistically significant impact on the type of vehicle choice and
 VMT. It is observed that a 10% increase in population density reduces the
 preference for ICEV pickup trucks by 0.34% and VMT by 0.4%. However, if
 the increase in population density is 25%, the reduction in preference for
 pickup trucks is 8.4% and VMT is 8.6%. The other built environment factor
 we consider is the walkability index. If the walkability index of a
 neighborhood increases by 25%, it reduces the preference for ICEV pickup
 trucks by 15% and their VMT by 16%. Overall, these results suggest that if
 policies encourage mixed development of neighborhoods and increase
 density, it can have an important impact on ownership and usage of gas
 guzzlers like pickup trucks and help in the process of electrification of
 the transportation sector.
description: The dataset used in this report was created using the following
 public data sources: 2019 California
 Vehicle Survey: "Transportation Secure Data Center." ([2019]).
 National Renewable Energy Laboratory. Accessed [04/26/2023]: <em>www.nrel.gov/tsdc</em>. The Smart Mapping Tool by EPA: https://www.epa.gov/smartgrowth/smart-location-mapping American Community Survey: https://www.census.gov/programs-surveys/acs
description: Microsoft Excel.
DOI: 10.5061/dryad.rn8pk0ph4
title: Eighteen-year nitrogen addition does not increase plant phosphorus demand in a nitrogen-saturated tropical forest

description: Nitrogen (N) deposition usually increases plant tissue N concentrations
 and thus phosphorus (P) demand in young and/or N-limited forests, but the
 N-deposition effect on plant P demand has rarely been assessed in
 N-saturated forests. Impacts of 18-year external N additions (Control: 0,
 Low N: 50, Moderate N:100, and High N: 150 kg N ha-1 yr-1) on leaf P of
 four plant life-forms (tree, shrub, herb, and liana), P fractions of bulk
 and rhizosphere soils were examined in a N-saturated mature tropical
 forest in southern China. Leaf N, P, and N: P ratios of all plant
 life-forms remained stable under three N-additions. Among soil P
 fractions, moderate labile organic P increased by 25-33% across three
 N-additions; and soil total P was increased by 11.76 % under Low N, and
 8.87% under High N, compared with the control. The PLS-PM results showed
 that the path coefficient of microbial community to available P
 significantly increased and of inorganic P to available P significantly
 decreased under N additions than control. N additions improved soil P
 availability through microbe-mediated P transformation: Low N
 significantly increased soil microbial taxonomic diversity, and a higher
 microbial diversity could enlarge the sources of nutrient acquisition and
 stimulate decomposition of recalcitrant organic matters; while High N
 significantly decreased soil microbial taxonomic diversity, the remaining
 microorganisms that were screened by N-rich environments had the
 characteristics of resisting the N-addition effects and maintained
 efficient P acquisition. Synthesis. Our findings provide a novel line of
 evidence that long-term N deposition did not increase plant P demand in a
 N-saturated mature tropical forest. The underlying mechanism is that
 plants did not increase N uptakes therefore nor increase P uptakes (a
 stable leaf N: P stoichiometry) in an already N-saturated ecosystem.
 Different N addition rates regulated soil P transformation via microbial
 community transition. These findings help improve the understanding of
 plant P acquisition and modeling of biogeochemical N-P cycling and
 vegetation productivity in N-rich forest ecosystems, particularly
 considering the fact that chronic N deposition may likely lead to soil N
 richness and even saturation of many forests in the future.
DOI: 10.15468/dl.6ts5hd
title: Occurrence Download

description: A dataset containing 2513 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (China, Chinese Taipei)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Juniperus formosana"
 ]
}

 The dataset includes 2513 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003528-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m7mrqz
title: Occurrence Download

description: A dataset containing 14663 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-68.77838 -40.94113,100.77838 -40.94113,100.77838 26.94113,-68.77838 26.94113,-68.77838 -40.94113))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Chaerephon pumilus"
 ]
}

 The dataset includes 14663 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003529-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5061/dryad.vx0k6djxf
title: Intricate covariation between exploration and avoidance learning in a generalist predator

description: Many predators avoid unprofitable prey by learning to use visual features
 of the prey as reliable indicators of quality. However, individual
 variation in avoidance learning is rarely examined in detail. It has been
 hypothesized that better avoidance learning ability might correlate with
 faster exploration tendency, but available data are limited in both
 quantity and scope. In this study, we examined the covariation between
 exploration, foraging decisions, and avoidance learning in a generalist
 lizard Eutropis multifasciata to test the prediction that faster explorers
 are also better avoidance learners. We also examined how sex, population,
 and color of unpalatable prey might mediate the exploration-avoidance
 learning covariation. We collected data on exploration and foraging
 behavior in individuals from two allopatric populations and quantified
 changes in foraging decisions over five daily learning trials, in which
 individuals were presented with normal- and bitter-tasting prey that
 differed consistently in color. Even though bitter prey elicited strong
 negative responses, lizards overall did not avoid consuming fewer such
 prey with learning. Instead, they learned to prioritize palatable prey as
 the experiment progressed. In concordance with our prediction, we found
 that faster explorers were generally better avoidance learners, even
 though sex, population, and prey color were also important. Our study
 represents a rare experimental test of the exploration-avoidance learning
 covariation, especially in non-avian systems. Our results suggest that
 unpalatability might be an ineffective defense against generalist
 predators such as E. multifasciata and that faster explorers
 might impose stronger selection for the evolution of warning signals in
 unprofitable prey.
DOI: 10.5061/dryad.mgqnk9949
title: Data for: Exogenous carbon turnover within the soil food web strengthens soil carbon sequestration through microbial necromass accumulation

description: Exogenous carbon turnover within soil food web is important in determining
 the trade-offs between soil organic carbon (SOC) storage and carbon
 emission. However, it remains largely unknown how soil food web influences
 carbon sequestration through mediating the dual roles of microbes as
 decomposers and contributors, hindering our ability to develop policies
 for soil carbon management. Here, we conducted a 13C-labeled straw
 experiment to demonstrate how soil food web regulated the residing
 microbes to influence the soil carbon transformation and stabilization
 process after 11 years no-tillage. Our work demonstrated that soil fauna,
 as a “temporary storage container”, indirectly influenced the SOC
 transformation processes and mediated the SOC sequestration through
 feeding on soil microbes. Soil biota communities acted as both drivers of
 and contributors to SOC cycling, with 32.0% of exogenous carbon being
 stabilizing in the form of microbial necromass as “new” carbon.
 Additionally, the proportion of mineral-associated organic carbon and
 particulate organic carbon showed that the “renewal effect” driven by the
 soil food web promoted the SOC to be more stable. Our study clearly
 illustrated that soil food web regulated the turnover of exogenous carbon
 inputs and mediated soil carbon sequestration through microbial necromass
 accumulation.
DOI: 10.5061/dryad.w3r2280wg
title: Light-demanding tree species are more susceptible to lianas than shade-tolerant tree species in a subtropical secondary forest

description: Tree-tree competition has been widely studied as a mechanism responsible
 for maintaining forest plant species diversity. Other common plant types,
 such as lianas, may influence tree species competition. Previous studies
 reported the negative effects of lianas on trees; however, variation in
 susceptibility to lianas among tree species and the species-specificity of
 liana species for tree hosts remain unclear. If lianas have
 species-specific interactions with trees, based either on tree or liana
 species identity, then lianas may influence tree-tree interactions by
 altering tree species-specific competitiveness.  We surveyed
 5,676 lianas (DBH ≥ 0.5 cm) and 61,538 trees (DBH ≥ 1 cm) in a 12-ha
 subtropical secondary forest plot to assess liana-tree interactions. We
 tested variation among the 20 most common tree species in their
 susceptibility to lianas, including whether light-demanding and
 shade-tolerant tree species differed. We quantified liana-tree network
 structure and evaluated the specificity between the 20 most common tree
 species and the 15 most common liana species. We expected that:
 (1) tree species would vary in their susceptibility to lianas, and the
 extent of this variation would be predicted by tree shade-tolerance; and
 (2) liana species would have distinct species-specific interactions with
 host trees. Tree species differed greatly in their susceptibility to
 lianas, with some tree species accumulating many more lianas than others.
 Light-demanding tree species particularly had greater susceptibility to
 lianas than shade-tolerant tree species. Both the liana-tree network
 structure and the interaction intensity between the 15 liana
 species and 20 tree species showed distinct specialization of liana-tree
 interactions.  Synthesis. Variation in tree species’
 susceptibility to lianas implies that lianas may alter tree
 species-specific competitive abilities by disproportionately affecting
 some tree species more than others. In contrast to studies in neotropical
 forests, light-demanding tree species were more susceptible to lianas than
 shade-tolerant tree species, suggesting that lianas could reduce
 light-demanding tree performance in this forest. The distinct species
 specialization between liana and tree species suggests that increases in
 the relative abundance of liana species, which is occurring in many
 forests, may alter the tree community by reducing the relative abundance
 of preferred host tree species.
description: Details of data collection and analyses can be found in the
 Materials and Methods section of the associated manuscript.
DOI: 10.5061/dryad.sf7m0cgbk
title: Potential adaptability of marine turtles to climate change may be hindered by coastal development in the USA

description: Marine turtles may respond to projected climatic changes by shifting their
 nesting range to climatically suitable areas, which may result in either
 increased exposure to threats or fewer threats. Therefore, there is a need
 to identify whether the habitat predicted to be climatically
 suitable for marine turtle nesting in the future will be affected by
 future threats and hinder marine turtles’ ability to adapt. We modelled
 the geographic distribution of climatically suitable nesting habitat for
 marine turtles in the USA under future climate scenarios, identified
 potential range shifts by 2050, determined impacts from sea-level rise,
 and explored changes in exposure to coastal development as a result of
 range shifts. Overall nesting ranges of marine turtle species were not
 predicted to change between the current and future time periods, except
 for the northern nesting boundaries for loggerhead turtles. However,
 declines in climatically suitable nesting grounds were predicted;
 loggerhead turtles will experience the highest decreases (10%) in
 climatically suitable habitat followed by green (7%) and leatherback (1%)
 turtles. However, sea-level rise is projected to inundate 78–81% of
 current habitat predicted to be climatically suitable in the future,
 depending on species and scenario. Nevertheless, new beaches will also
 form, and suitable nesting habitat could be gained, with leatherback
 turtles potentially experiencing the biggest percentage gain in suitable
 habitat.
DOI: 10.5061/dryad.9s4mw6mn8
title: Effective management for deadwood-dwelling lichen diversity requires landscape-scale habitat protection

description: Habitat loss is considered a major threat for biodiversity. However, the
 scales on which its effects occur are still insufficiently understood,
 namely, is the amount of available habitat important for species richness
 on both local and landscape scales? We studied the effects of local and
 landscape-scale habitat amount on local-scale species density of
 deadwood-dependent lichens in Swedish boreal forests. Creation and
 retention of dead wood are common practices to benefit forest
 biodiversity, and recognizing the relevant scale is critical for them to
 be successful. We surveyed deadwood-dependent lichens in 90 unmanaged
 forest stands that differed in the local and landscape habitat amount. The
 local habitat amount was measured as the amount of dead wood in the
 sampled stands (m2 dead wood/ha), while six alternative proxies were used
 to estimate the landscape habitat amount, i.e., the amount of dead wood in
 the landscapes surrounding the sampled forest stands. Lichen species
 density (number of species per standardized dead wood area of 3.7 m2) was
 modelled as a function of local habitat amount and landscape habitat
 amount at multiple scales (300 m – 5 km from the stands). We found that
 lichen species density increased with the landscape habitat amount. The
 proportion of old forests (&gt; 100 years, including newly clear-cut
 stands that until recently were old forests) within 5 km from the studied
 stands explained species density better than the other proxies of
 landscape habitat amount. Local dead wood amount did not affect species
 density, and there was no interaction between the local and landscape
 habitat amount.  Synthesis and applications: To promote the
 conservation of deadwood-dependent lichens, the amount of old forests in
 managed forest landscapes should be maintained or increased. A certain
 amount of dead wood hosted more lichen species when situated in a
 landscape with more old forest, while there was no effect of the local
 dead wood amount. This suggests that management aimed at increasing the
 local species density of deadwood-dwelling lichens should focus on
 creating and maintaining habitat in the surrounding landscape rather than
 on only adding deadwood to that local site. In other words, effective
 management for deadwood-dependent lichen diversity requires
 landscape-scale habitat protection.
DOI: 10.6084/m9.figshare.28522397
title: Electrocatalytic N–C–N coupling over a hierarchically ordered open single-atom superstructure toward organonitrogen synthesis

description: Data for material characterizations and electrocatalytic performance.Version history, v2: errors were noted in the source data associated with Supplementary Figures 39a and 39b; specifically, at 470 s and 620 s in panel (a), and at 320 s and 470 s in panel (b). These errors have been corrected in Version 2. <br>
DOI: 10.6084/m9.figshare.28522397.v2
title: Electrocatalytic N–C–N coupling over a hierarchically ordered open single-atom superstructure toward organonitrogen synthesis

description: Data for material characterizations and electrocatalytic performance.Version history, v2: errors were noted in the source data associated with Supplementary Figures 39a and 39b; specifically, at 470 s and 620 s in panel (a), and at 320 s and 470 s in panel (b). These errors have been corrected in Version 2. <br>
DOI: 10.6084/m9.figshare.28522397.v1
title: Electrocatalytic N–C–N coupling over a hierarchically ordered open single-atom superstructure toward organonitrogen synthesis

description: Data for material characterizations and electrocatalytic performance.
DOI: 10.5061/dryad.k3j9kd5cw
title: The existence and strength of higher order interactions is sensitive to environmental context

description: One strategy for understanding the dynamics of any complex system, such as
 a community of competing species, is to study the dynamics of parts of the
 system in isolation. Ecological communities can be decomposed into single
 species, and pairs of interacting species. This reductionist strategy
 assumes that whole-community dynamics are predictable and explainable from
 knowledge of the dynamics of single species and pairs of species. This
 assumption will be violated if higher order interactions (HOIs) are
 strong. Theory predicts that HOIs should be common. But it is difficult to
 detect HOIs, and to infer their long-term consequences for species
 coexistence, solely from short-term data. I conducted a protist microcosm
 experiment to test for HOIs among competing bacterivorous ciliates and
 test the sensitivity of HOIs to environmental context. I grew three
 competing ciliate species in all possible combinations at each of two
 resource enrichment levels, and use the population dynamic data from the
 one- and two-species treatments to parameterize a competition model at
 each enrichment level. I then compared the predictions of the
 parameterized model to the dynamics of the whole community (three-species
 treatment). I found that the existence, and thus strength, of HOIs was
 environment-dependent. I found a strong HOI at low enrichment, which
 enabled the persistence of a species that would otherwise have been
 competitively excluded. At high enrichment, three-species dynamics could
 be predicted from a parameterized model of one- and two-species dynamics,
 provided that the model accounted for nonlinear intraspecific density
 dependence. The results provide one of the first rigorous demonstrations
 of the long-term consequences of HOIs for species coexistence and
 demonstrate the context-dependence of HOIs. HOIs create difficult
 challenges for predicting and explaining species coexistence in nature.
DOI: 10.25349/d9702g
title: Remotely sensed environmental and grazing data at Jalama Canyon Ranch

description: This dataset contains grazing data and a variety of remotely sensed
 environmental indicators about a 1,000 acre ranch near Lompoc, CA, called
 Jalama Canyon Ranch. The ranch is operated by a nonprofit focused on
 regenerative agriculture research and education called White Buffalo Land
 Trust. The remotely sensed indicators include primary inputs and derived
 inputs based on a surface energy balance model.
description: Data were collected/obtained from multiple sources:
 lompoc_precipitation.csv: Downloaded from Santa
 Barbara County website (https://www.countyofsb.org/2328/Daily-Rainfall-Data-XLS) by selecting Lompoc. Daily Rainfall (in inches) recorded as of 8 am for the previous 24 hours (PST). jcr_precipitation.csv: Data from White Buffalo Land Trust (https://whitebuffalolandtrust.org). Rain gauges on Jalama Canyon Ranch were checked after every rain event, or if rain was ongoing, every several days. The rain gauge reset every time it was checked. Shared with permission. irriwatch_jcr.zip: Data from IrriWatch (https://irriwatch.com) via White Buffalo Land Trust's subscription to the IrriWatch data service (https://whitebuffalolandtrust.org). Methods used to develop the IrriWatch dataset can be found on irriwatch.com. Shared with permission. IrriWatch_Management Units_ES_HABITAT_FINAL.shp: Data from White Buffalo Land Trust containing spatial information on IrriWatch fields and other spatial boundaries on the Jalama Canyon Ranch. Shared with permission. Processed data: jcr.csv: Aggregates data from the files above. It also includes grazing rotation data at Jalama Canyon Ranch from White Buffalo Land Trust. The grazing data was input in-line in jcr.Rmd Code: jcr.Rmd: The code used to combine datasets into jcr.csv is provided in jcr.Rmd renv.lock: Contains package information used for jcr.Rmd
description: The CSV files can be read using open source alternatives to Excel
 such as Libre Office, Google Sheets, or statistical programming languages
 like R or Python. The Rmd and renv.lock files are
 intended to be read using R, an open source programming language primarily
 used for statistics and data analysis. The renv.lock file lists packages
 and dependencies used in this project. The shapefile
 can be read using the open source software QGIS or R.