cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.quvqb7
title: Occurrence Download

description: A dataset containing 132116 records in GBIF matching the query:
SELECT
 '460' 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;= -126.94732231142787
 AND decimalLongitude &lt;= -113.29916565233177
 AND "year" &gt;= 2015
 AND "year" &lt;= 2026
 AND (coordinateUncertaintyInMeters &lt;= 100 OR coordinateUncertaintyInMeters IS NULL)
 GROUP BY fish_cell, cell

 The dataset's 132116 records were derived from 358 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002866-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5061/dryad.9zw3r22dt
title: Fungal disease temporal stability in an alpine meadow

description: Current unprecedented species extinction has galvanized studies to clarify
 how biodiversity affects diseases. However, almost all empirical studies
 focused on diseases at a certain time point, largely ignoring the temporal
 stability. Using a removal experiment that manipulates plant diversity,
 and a fertilization experiment in a Tibetan alpine meadow, we investigated
 how different plant biodiversity indices and nitrogen fertilization affect
 the temporal stability of community pathogen load over seven consecutive
 years. We found that the temporal stability of foliar fungal diseases
 increased with plant diversity indices, among which phylogenetic diversity
 was the best predictor. The analyses based on Taylor’s law indicated that
 host plant species richness changed the scaling between logarithmic mean
 and variance. We also found positive relationships between phylogenetic
 diversity and the temporal stability of community pathogen load at species
 richness levels of 2 and 4. However, nitrogen fertilization weakened the
 positive effect of plant (phylogenetic) diversity on the temporal
 stability of pathogen load by increasing both the mean and standard
 deviation of pathogen load. We concluded that although host diversity
 regulated the temporal stability of pathogen load, suppressing disease
 fluctuation over time by increasing host diversity may be challenging in
 the context of the Anthropocene.
description: We conducted the experiment 1 and 2 in an alpine meadow, please
 see our previous paper for more details about experiment design (Liu et
 al. 2016). Here, we recorded foliar fungal disease severity
 (<i>V<sub>i</sub></i>; <i>i.e</i>., %
 leaf area covered by fungal lesions) every August (the peak of the growing
 season). In short, for each plant species in each plot, we randomly
 recorded 5 leaves from each of 5 randomly selected individuals, therefore
 25 leaves per species per plot. At the same time, we also arranged one 0.5
 × 0.5 m subplot in each plot, harvested all the aboveground parts and
 sorted to species, then recorded plant species richness and abundance for
 each species. We used the abovementioned methods to conduct sampling of
 both foliar fungal pathogens and plant communities for seven consecutive
 years (2014 to 2020). Reference: Liu
 X, Lyu SM, Zhou SR, Bradshaw CJA. 2016 Warming and fertilization alter the
 dilution effect of host diversity on disease severity.
 <i>Ecology</i> <b>97</b>, 1680-1689.
 (doi:10.1890/15-1784.1)
DOI: 10.5061/dryad.8gtht76pg
title: Testing the causes of richness patterns in the paleotropics: time and diversification in cycads (Cycadaceae)

description: The paleotropics harbor many biodiversity hotspots and show many different
 species richness patterns. However, it remains unclear which factors are
 the most important in directly shaping richness patterns among regions in
 the paleotropics (i.e. diversification rates, colonization times,
 dispersal frequency). Here we used Cycadaceae as a model system to test
 the causes of regional richness patterns in the paleotropics. Specifically
 we tested the roles of dispersal frequency, colonization time,
 diversification rates, and their combined role in explaining richness
 patterns among regions. We generated a well-sampled, time-calibrated
 phylogeny and then used this to estimate dispersal events, colonization
 times, and diversification rates. Richness patterns were significantly
 associated with the timing of the first colonization of each region, and
 were best explained by the combined effects of colonization time and
 diversification rates. The number of dispersal events into each region and
 the diversification rates of species in each region were not significantly
 related to richness. Ancestral-area reconstructions showed frequent
 migrations across Wallace’s Line, with a higher diversification rate east
 of Wallace’s Line than west of it. Overall, our study shows that
 colonization time can be an important factor for explaining regional
 richness patterns in the paleotropics.
description: The readme file contains an explanation of each file used in this
 work. Information on how the analyses were done can be found in the
 associated manuscript referenced above.
DOI: 10.5281/zenodo.18396988
title: THE EFFECTIVENESS OF TRANSCRANIAL MAGNETIC STIMULATION IN PEDIATRIC NEUROLOGICAL DISORDERS

description:  Pediatric neurological disorders are frequently associated with motor, cognitive, and behavioral impairments that significantly affect quality of life and functional independence. In recent years, transcranial magnetic stimulation (TMS) has emerged as a non-invasive neuromodulation technique with potential therapeutic benefits in children with neurological conditions. This article analyzes the effectiveness of transcranial magnetic stimulation in the management of pediatric neurological disorders, including cerebral palsy, epilepsy, attention-deficit hyperactivity disorder, and post-stroke motor dysfunction. The review highlights the mechanisms of action, clinical outcomes, and safety considerations of TMS in pediatric populations. Available evidence suggests that TMS can improve motor function, cognitive performance, and neuroplasticity when applied in a controlled and individualized manner. Understanding the therapeutic potential of TMS is essential for integrating this technology into pediatric neurorehabilitation.
DOI: 10.5281/zenodo.18396989
title: THE EFFECTIVENESS OF TRANSCRANIAL MAGNETIC STIMULATION IN PEDIATRIC NEUROLOGICAL DISORDERS

description:  Pediatric neurological disorders are frequently associated with motor, cognitive, and behavioral impairments that significantly affect quality of life and functional independence. In recent years, transcranial magnetic stimulation (TMS) has emerged as a non-invasive neuromodulation technique with potential therapeutic benefits in children with neurological conditions. This article analyzes the effectiveness of transcranial magnetic stimulation in the management of pediatric neurological disorders, including cerebral palsy, epilepsy, attention-deficit hyperactivity disorder, and post-stroke motor dysfunction. The review highlights the mechanisms of action, clinical outcomes, and safety considerations of TMS in pediatric populations. Available evidence suggests that TMS can improve motor function, cognitive performance, and neuroplasticity when applied in a controlled and individualized manner. Understanding the therapeutic potential of TMS is essential for integrating this technology into pediatric neurorehabilitation.
DOI: 10.7272/q6d21vvd
title: Prolonged and coordinated differentiation of long-lived SARS-CoV-2-specific CD8+ T cells during convalescence

description: CD8+ T cells are important antiviral effectors that can potentiate
 long-lived immunity against COVID-19, but to what extent these cells
 coordinate with other adaptive immune processes and change during
 convalescence is not clear. We screened 21 well-characterized convalescent
 donors that recovered from mild COVID-19 against a collection of
 SARS-CoV-2 tetramers, to identify one participant with an immunodominant
 response against Nuc322-331, a peptide that is conserved in all the
 SARS-CoV-2 variants-of-concern reported to date. By conducting
 38-parameter CyTOF phenotyping on tetramer-identified Nuc322-331-specific
 CD8+ T cells in conjunction with CyTOF phenotyping of CD4+ and CD8+ T
 cells recognizing peptides spanning the entire Nucleocapsid and Spike
 proteins from SARS-CoV-2, in addition to 32 serological measurements, we
 discover a coordination of the Nuc322-331-specific CD8+ T response with
 both the CD4+ T cell and antibody pillars of adaptive immunity.
 Nuc322-331-specific CD8+ T cells were predominantly central memory T
 cells, but continually evolved during the ~6-month period of convalescence
 assessed. We observed a slow and progressive decrease in the activation
 state and polyfunctionality of the Nuc322-331-specific CD8+ T cells,
 accompanied by an increase in their lymph-node homing and homeostatic
 proliferation potential. These results suggest that following a typical
 case of mild COVID-19, SARS-CoV-2-specific CD8+ T cells not only persist
 but continuously differentiate in a coordinated fashion well into
 convalescence.
DOI: 10.5061/dryad.3r2280gfw
title: Predicting intraspecific trait variation among California’s grasses

description: 1. Plant species can show considerable morphological and functional
 variation along environmental gradients. This intraspecific trait
 variation (ITV) can have important consequences for community assembly,
 biotic interactions, ecosystem functions and responses to global change.
 However, directly measuring ITV across many species and wide geographic
 areas is often infeasible. Thus, a method to predict spatial variation in
 a species’ functional traits could be valuable. 2. We measured specific
 leaf area (SLA), height and leaf area (LA) of grasses across California,
 covering 59 species at 230 sampling locations. We asked how these traits
 change along climate gradients within each species and used machine
 learning to predict local trait values for any species at any location
 based on phylogenetic position, local climate and that species’ mean
 traits. We then examined how much these local predictions alter patterns
 of assemblage-level trait variation across the state. 3. Most species
 exhibited higher SLA and grew taller at higher temperatures and produced
 larger leaves in drier conditions. The random forests predicted spatial
 variation in functional traits very accurately, with correlations up to
 0.97. Because trait records were spatially biased towards warmer areas,
 and these areas tend to have higher SLA individuals within each species,
 species means of SLA were upwardly biased. As a result, using species
 means over-estimates SLA in the cooler regions of the state. Our results
 also suggest that height may be substantially under-predicted in the
 warmest areas. 4. Synthesis: Using only species mean traits to
 characterize the functional composition of communities risks introducing
 substantial error into trait-based estimates of ecosystem properties
 including decomposition rates or NPP. The high performance of random
 forests in predicting local trait values provides a way forward for
 estimating high-resolution patterns of ITV without a massive data
 collection effort.
description: These data were collected by the coauthors, working at sites
 across California. It also includes some measurements from databases or
 published sources. 
description: The file includes 7 columns and 1860 rows, not including the
 header. The columns are:<br> <br> Species: Name according to
 the Jepson Manual<br> Longitude: Longitude coordinate of the
 record<br> Latitude: Latitude coordinate of the record<br>
 SLA: Specific leaf area (m2/g)<br> Height: Height (cm)<br>
 Area: Area of a single leaf (cm2)<br> Dataset: Source for the
 record.
DOI: 10.5061/dryad.8w9ghx3mh
title: Data for: Warmer temperatures limit the effects of antidepressant pollution on life history traits

description: Pharmaceutical pollutants pose a threat to aquatic ecosystems worldwide.
 Yet, few studies have considered the interaction between pharmaceuticals
 and other chronic stressors contemporaneously, even though the
 environmental challenges confronting animals in the wild seldom, if ever,
 occur in isolation. Thermal stress is one such environmental challenge
 that may modify the threat of pharmaceutical pollutants. Accordingly, we
 investigated how fluoxetine (Prozac), a common psychotherapeutic and
 widespread pollutant, interacts with temperature to affect life-history
 traits in the water flea, Daphnia magna. We chronically exposed two
 genotypes of Daphnia to two ecological relevant concentrations of
 fluoxetine (30ng/L and 300ng/L) and a concentration representing levels
 used in acute toxicity tests (3000ng/L), and quantified the change in
 phenotypic trajectories at two temperatures (20°C and 25°C). Across
 multiple life-history traits, we found that fluoxetine exposure impacted
 the fecundity, body size and intrinsic growth rate of Daphnia in a
 non-monotonic manner at 20°C, and often in genotypic-specific ways. At
 25°C, however, the life-history phenotypes of individuals converged under
 the widely varying levels of fluoxetine, irrespective of genotype. Our
 study underscores the importance of considering the complexity of
 interactions that can occur in the wild when assessing the effects of
 chemical pollutants on life-history traits.
DOI: 10.5061/dryad.pk0p2ngng
title: Acoustically eavesdropping bat predators take longer to capture katydid prey signalling in aggregation

description: Prey signalling in aggregation become more conspicuous with increasing
 numbers and tend to attract more predators. Such grouping may, however,
 benefit prey by lowering the risk of being captured due to the
 predator's difficulty in targeting individuals. Previous studies have
 investigated anti-predatory benefits of prey aggregation using visual
 predators, but it is unclear whether such benefits are gained in an
 auditory context. We investigated whether katydids of the genus Mecopoda
 gain protection from their acoustically eavesdropping bat predator,
 Megaderma spasma, when calling in aggregation. In a choice experiment,
 bats approached calls of prey aggregates more often than those of prey
 calling alone, indicating that prey calling in aggregation were at higher
 risk. In prey capture tasks, however, the average time taken, and the
 number of flight passes made by bats before capturing a katydid, were
 significantly higher for prey calling in aggregates as compared to calling
 alone-, indicating that prey face lower predation risk when calling in
 aggregation. We also tested the effectiveness of another common
 anti-predatory strategy: calling from within vegetation clutter.
 Vegetation increased the time taken by bats to capture katydids calling
 alone but did not increase the time taken to capture prey calling from
 aggregations. The increased time taken to capture a prey calling in
 aggregation as compared to solitary calling prey offers an escape
 opportunity for the prey, thus providing prey signalling acoustically in
 aggregation with anti-predatory benefits.
description: The dataset has been created by observing videos of bats
 performing experiments with different treatments. The statistical analysis
 of this data has been carried out in the software R. See R codes for how
 the data has been processed. 
description: README attached
DOI: 10.15468/dl.h54x9a
title: Occurrence Download

description: A dataset containing 1973086 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 {
 "or" : [
 "Country is Norway",
 "Country is Svalbard and Jan Mayen"
 ]
 }
 ]
}

 The dataset includes 1973086 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002853-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5061/dryad.fn2z34tt9
title: Transgenerational fitness effects of lifespan extension by dietary restriction in Caenorhabditis elegans

description: Dietary restriction increases lifespan in a broad variety of organisms and
 improves health in humans. However, long-term transgenerational
 consequences of dietary interventions are poorly understood. Here we
 investigated the effect of dietary restriction by temporary fasting (TF)
 on mortality risk, age-specific reproduction and fitness across three
 generations of descendants in C. elegans. We show that while TF robustly
 reduces mortality risk and improves late-life reproduction of the
 individuals subject to TF (P0), it has a wide range of both positive and
 negative effects on their descendants (F1-F3). Remarkably,
 great-grandparental exposure to TF in early-life reduces fitness and
 increases mortality risk of F3 descendants to such an extent that TF no
 longer promotes a lifespan extension. These findings reveal that
 transgenerational trade-offs accompany the instant benefits of dietary
 restriction underscoring the need to consider fitness of future
 generations in pursuit of healthy ageing. 
description: Data from lifespan, fertility and length assays
description: Missing values are either denoted with NAs or left blank
DOI: 10.5061/dryad.dr7sqv9z0
title: Global change shifts trade-offs among ecosystem functions in woodlands restored for multifunctionality

description: 1. Ecological restoration increasingly aims at improving ecosystem
 multifunctionality and making landscapes resilient to future threats,
 especially in biodiversity hotspots such as Mediterranean-type ecosystems.
 Plants and their traits play a major role in the functioning of an
 ecosystem. Therefore, successful restoration towards long-term
 multifunctionality requires a fundamental mechanistic understanding of
 this link under changing climate. An integrated approach of empirical
 research and simulation modelling with a focus on plant traits can allow
 this understanding. 2. Based on empirical data from a large-scale
 restoration project in a Mediterranean-type ecosystem in Western
 Australia, we developed and validated the spatially explicit simulation
 model ModEST, which calculates coupled dynamics of nutrients, water and
 individual plants characterised by functional traits. We then simulated
 all possible combinations of eight plant species with different levels of
 diversity to assess the role of plant diversity and traits on
 multifunctionality, the provision of six ecosystem functions that can be
 linked to ecosystem services, as well as trade-offs and synergies among
 the functions under current and future climatic conditions. 3. Our results
 show that multifunctionality cannot fully be achieved because of
 trade-offs among functions that are attributable to sets of traits that
 affect functions differently. Our measure of multifunctionality was
 increased by higher levels of planted species richness under current, but
 not future climatic conditions. In contrast, single functions were
 differently impacted by increased plant diversity and thus the choice and
 weighting of these functions affected multifunctionality. In addition, we
 found that trade-offs and synergies among functions shifted with climate
 change due to different direct and indirect (mediated via community trait
 changes) effects of climate change on functions. 4. Synthesis and
 application. Our results imply that restoration ecologists will face a
 clear challenge to achieve their targets with respect to
 multifunctionality not only under current conditions, but also in the
 long-term. However, once ModEST is parameterized and validated for a
 specific restoration site, managers can assess which target goals can be
 achieved given the set of available plant species and site-specific
 conditions. It can also highlight which species combinations can best
 achieve long-term improved multifunctionality due to their trait
 diversity.
DOI: 10.5061/dryad.fj6q573v1
title: Two new species of the Lycophyte Genus Selaginella (Selaginellaceae) from China, with notes on phylogenetic position of related species

description: Two new species of lycophytes, Selaginella obovata and S. zhangii, were
 discovered in southeastern Yunnan, China. Selaginella obovata is
 characterized by the prostrate habit and relatively small size of plant,
 obovate median leaves, and short, dorsiventral strobili, and is not
 apparently similar to any known species. Phylogenetic analyses of plastid
 sequences (rbcL, atpI, psbA) indicated that S. obovata is closely allied
 to S. bisulcata, which is also supported by spore morphology, and that
 these two taxa together with S. pennata constitute a well-supported
 monophyletic group. Selaginella zhangii is comparable to S.
 rolandi-principis in their broad stems (including leaves) and shape and
 arrangement of vegetative leaves; but the former differs from the latter
 in its prostrate habit and dorsiventral strobili. The result of
 phylogenetic analyses showed indicate that S. zhangii is allied to S.
 heterostachys in the S. heterostachys–S. ciliaris clade, while S.
 rolandi-principis is distantly placed in the S. doederleinii–S. involvens
 clade. Finally, we provide comprehensive descriptions, photographs of
 living plants, line drawings, and scanning electron micrographs of spores
 to facilitate their recognition.