cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5061/dryad.h18931zn5
title: Regionalized dynamic climate series for ecological climate impact research in modern controlled environment facilities

description: Modern controlled environment facilities (CEFs) enable the simulation of
 dynamic microclimates in controlled ecological experiments through their
 technical ability to precisely control multiple environmental parameters.
 However, few CEF studies exploit the technical possibilities of their
 facilities, as climate change treatments are frequently applied by static
 manipulation of an inadequate number of climate change drivers, ignoring
 intra-annual variability and co-variation of multiple meteorological
 variables. We present so called Test Reference Years (TRY) that consist of
 typical annual cycles of temperature, relative humidity, air pressure,
 global radiation, photosynthetically active photon flux density,
 tropospheric ozone concentration and CO2. The TRYs represent possible
 annual cycles of a reference period (1987-2016) and the two contrasting
 climate scenarios RCP2.6 and RCP8.5.
description: Based on
 the EURO-CORDEX and ReKliEs-DE model ensembles, typical annual courses of
 daily resolved climatologies for the reference period and the RCP
 scenarios were calculated from multi-model means of temperature
 (t<sub>a</sub>), relative humidity (rh), global radiation
 (R<sub>g</sub>), air pressure (P) and ground-level ozone and
 complemented by CO<sub>2</sub>. To account for intra-annual
 variation and the co-variability of multiple climate variables, daily
 values were substituted by hourly resolved data resampled from the
 historical record of a climate station situated in a forested region of
 the German Spessart mountains (Jossgrund-Lettgenbrunn, Germany, 497 m asl,
 50°09'52.0"N 9°23'58.0"E).
description: Files: TRY_PC.csv, TRY_RCP26.csv, TRY_RCP85.csv;
 TRY_README.txt
DOI: 10.5061/dryad.1g1jwstxw
title: Ecological consequences of large herbivore exclusion in an African savanna: 12 years of data from the UHURU experiment

description: Diverse communities of large mammalian herbivores (LMH), once widespread,
 are now rare. LMH exert strong direct and indirect effects on community
 structure and ecosystem functions, and measuring these effects is
 important for testing ecological theory and for understanding past,
 current, and future environmental change. This in turn requires long-term
 experimental manipulations, owing to the slow and often nonlinear
 responses of populations and assemblages to LMH removal. Moreover, the
 effects of particular species or body-size classes within diverse LMH
 guilds are difficult to pinpoint, and the magnitude and even direction of
 these effects often depends on environmental context. Since 2008, we have
 maintained the Ungulate Herbivory Under Rainfall Uncertainty (UHURU)
 experiment, a series of size-selective LMH exclosures replicated across a
 rainfall/productivity gradient in a semi-arid Kenyan savanna. The goals of
 the UHURU experiment are to measure the effects of removing successively
 smaller size classes of LMH (mimicking the process of size-biased
 extirpation) and to establish how these effects are shaped by spatial and
 temporal variation in rainfall. The UHURU experiment comprises three
 LMH-exclusion treatments and an unfenced control, applied to 9 randomized
 blocks of contiguous 1-ha plots (n = 36). The fenced treatments are:
 “MEGA” (exclusion of megaherbivores, elephant and giraffe); “MESO”
 (exclusion of herbivores ≥40 kg); and “TOTAL” (exclusion of herbivores ≥5
 kg). Each block is replicated three times at three sites across the 20-km
 rainfall gradient, which has fluctuated over the course of the experiment.
 The first five years of data were published previously (Ecological
 Archives E095-064) and have been used in numerous studies. Since that
 publication, we have (a) continued to collect data following the original
 protocols, (b) improved the taxonomic resolution and accuracy of plant and
 small-mammal identifications, and (c) begun collecting several new data
 sets. Here, we present updated and extended raw data from the first 12
 years of the UHURU experiment (2008–2019). Data include daily rainfall
 data throughout the experiment; annual surveys of understory plant
 communities; annual censuses of woody-plant communities; annual
 measurements of individually tagged woody plants; monthly monitoring of
 flowering and fruiting phenology; every-other-month small-mammal
 mark-recapture data; and quarterly large-mammal dung surveys.
description: Extensive metadata can be found in the README file and<em>
 Ecology</em> data paper.
description: Extensive metadata can be found in the README file and
 <em>Ecology</em> data paper.
DOI: 10.5061/dryad.kkwh70s5r
title: Data on measuring splash dispersal of a major wheat pathogen in the field

description: Capacity for dispersal is a fundamental fitness component of plant
 pathogens. Characterization of plant pathogen dispersal is important for
 understanding how pathogen populations change in time and space. We
 devised a systematic approach to measure and analyze rain splash-driven
 dispersal of plant pathogens in field conditions, using the major fungal
 wheat pathogen Zymoseptoria tritici as a case study.We inoculated field
 plots of wheat (Triticum aestivum) with two distinct Z. tritici strains.
 Next, we measured disease intensity as counts of fruiting bodies
 (pycnidia) using automated image analysis. These measurements
 characterized primary disease gradients, which we used to estimate
 effective dispersal of the pathogen population. Genotyping of reisolated
 pathogen strains with strain-specific PCR confirmed the conclusions drawn
 from phenotypic data. Consistently with controlled environment studies,we
 found that the characteristic scale of dispersal is tens of centimeters.We
 analyzed the data using a spatially explicit mathematical model that
 incorporates the spatial extent of the source, rather than assuming a
 point source,which allows for a more accurate estimation of dispersal
 kernels.We employed bootstrapping methods for statistical testing and
 adopted a two-dimensional hypotheses test based on kernel density
 estimation, enabling more robust inference compared with standard methods.
 We report the first estimates of dispersal kernels of the pathogen in
 field conditions. However, repeating the experiment in other environments
 would lead to more robust conclusions.We put forward advanced methodology
 that paves the way for further measurements of plant pathogen dispersal in
 field conditions, which can inform spatially targeted plant disease
 management. 
description: The data was collected by analysing scanned images of infected
 leaves, and analysed using Python. The raw data and results of the
 analysis are included in the deposited package. Source code for the
 analysis is deposited separately.
description: Readme file included in the data package
DOI: 10.5281/zenodo.18398841
title: GMTSAR processing example for NISAR RSLC InSAR pair over Erta Ale volcano (LA/LB)

description: This repository provides a small, reproducible GMTSAR (master) processing example for a NISAR RSLC interferometric pair over the Erta Ale volcano (Ethiopia), including both LA and LB products. The package contains GMTSAR configuration files, the DEM used for processing, selected key outputs (coherence/correlation, wrapped phase, unwrapped phase/LOS displacement, and phase-gradient products), and a runnable bash script documenting the end-to-end workflow (download → coregistration → interferogram generation → optional ROI unwrapping → geocoding). The dataset is intended as a quick-start community example for validating NISAR support in GMTSAR and for teaching/benchmarking purposes. Note that ionospheric correction is not applied in this release; for challenging L-band cases (low coherence, long temporal baselines, disturbed ionosphere), additional ionospheric mitigation (e.g., split-spectrum approaches) may be required.
DOI: 10.5281/zenodo.18398842
title: GMTSAR processing example for NISAR RSLC InSAR pair over Erta Ale volcano (LA/LB)

description: This repository provides a small, reproducible GMTSAR (master) processing example for a NISAR RSLC interferometric pair over the Erta Ale volcano (Ethiopia), including both LA and LB products. The package contains GMTSAR configuration files, the DEM used for processing, selected key outputs (coherence/correlation, wrapped phase, unwrapped phase/LOS displacement, and phase-gradient products), and a runnable bash script documenting the end-to-end workflow (download → coregistration → interferogram generation → optional ROI unwrapping → geocoding). The dataset is intended as a quick-start community example for validating NISAR support in GMTSAR and for teaching/benchmarking purposes. Note that ionospheric correction is not applied in this release; for challenging L-band cases (low coherence, long temporal baselines, disturbed ionosphere), additional ionospheric mitigation (e.g., split-spectrum approaches) may be required.
DOI: 10.57760/sciencedb.ecodb.00240
title: A dataset of carbon and water fluxes at the Changling cornfield flux observation site from 2019 to 2020
title: 2019-2020年长岭玉米农田生态系统碳水通量观测数据集

description: The raw observation data acquired by the eddy covariance system at the Changling cornfield flux observation site from 2019 to 2020 were processed based on the ChinaFLUX data processing to produce this standardized dataset of ecosystem carbon and water fluxes and key meteorological elements. The site was established by Shanxi University. It is located in Changling county, Jilin Province. The site is characterized by a typical agricultural ecosystem in Northeast China, with corn as the crop type. In this dataset, the annual data includes 8 Excel data files, divided into two categories: LITE, which includes major fluxes and meteorological variables, and ALL, which adds data quality and interpolation indicators on the basis of LITE. Each category has four data files, including data files at four scales: half-hour (HH), day (DD), month (MM), and year (YY). 
description: The raw observation data acquired by the eddy covariance system at the Changling cornfield flux observation site from 2019 to 2020 were processed based on the ChinaFLUX data processing to produce this standardized dataset of ecosystem carbon and water fluxes and key meteorological elements. The site was established by Shanxi University. It is located in Changling county, Jilin Province. The site is characterized by a typical agricultural ecosystem in Northeast China, with corn as the crop type. In this dataset, the annual data includes 8 Excel data files, divided into two categories: LITE, which includes major fluxes and meteorological variables, and ALL, which adds data quality and interpolation indicators on the basis of LITE. Each category has four data files, including data files at four scales: half-hour (HH), day (DD), month (MM), and year (YY).
DOI: 10.15468/dl.shtf3g
title: Occurrence Download

description: A dataset containing 1789 species occurrences available in GBIF matching the query:
{
 "and" : [
 "CoordinateUncertaintyInMeters 0.0-5000.0",
 "TaxonKey is Ficus benjamina"
 ]
}

 The dataset includes 1789 records from 82 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002983-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5061/dryad.12jm63z04
title: Multivesicular Release LIF Spike Data

description: The statistics of vesicle release determine how information is transferred
 in neural 12 circuits. The classical model is of Poisson synapses
 releasing vesicles 13 independently but ribbon synapses transmit early
 sensory signals by 14 multivesicular release (MVR) when two or more
 vesicles are coordinated as a single 15 synaptic event. To investigate the
 impact of MVR on the spike code we used leaky 16 integrate-and-fire models
 with inputs simulating the statistics of vesicle release 17 measured
 experimentally from retinal bipolar cells. Comparing these with models 18
 of independent release we find that MVR increases spike generation and the
 19 efficiency of information transfer (bits per spike) over a range of
 conditions that 20 mimic retinal ganglion cells of different time-constant
 receiving different number of 21 synaptic inputs of different strengths.
 When a single input drives a neuron with 22 short time-constant, as occurs
 when hair cells transmit auditory signals, MVR 23 increases information
 transfer whenever spike generation requires depolarization 24 greater than
 that caused by a single vesicle. This study demonstrates how 25
 presynaptic integration of vesicles by MVR can compensate for less
 effective 26 summation post-synaptically to increase the efficiency with
 which sensory 27 information is transmitted at the synapse.
description: All data were simulated using the methods described in the
 accompanying manuscript, processed in Igor Pro 8 (Wavemetrics).
description: The spike data for each parameter set are in the form:
 <b>inputType</b>Sf<b>Freq</b>_con<strong>Contrast</strong>_n<strong>Inputs</strong>_tau<strong>tauVal_</strong>vT<strong>threshVal</strong>_vR<strong>vRestVal</strong>_k<strong>KVal</strong> where each bold stands for a parameter of the model where 'r' or 'h' indicates rate or hybrid code, respectively. An example is then: rSf5_con20_n500_1_tau0.05_vT-0.035_vR-0.055_k100 Thus the file contains the spike output for the rate coded cell using a 5 Hz stimulus at 20% contrast, with tau = .05, vThresh = -.0035, vRest = -.055, and k = 100. Each file has two rows. The first row lists a spike time and the second row lists which neuron spiked at that time (so the total number of spikes across the entire battery of simulations is equal to the number of rows). Note that the spike time is based upon the mean input time of 100 ms, and thus adding .1 to the spike time yields the spike time as the latency from the start of the stimulus.
DOI: 10.5061/dryad.8kprr4xpv
title: Dorsal striatum coding for the timely execution of action sequences

description: The automatic initiation of actions can be highly functional. But
 occasionally these actions cannot be withheld and are released at
 inappropriate times, impulsively. Striatal activity has been shown to
 participate in the timing of action sequence initiation and it has been
 linked to impulsivity. Using a self-initiated task, we trained adult male
 rats to withhold a rewarded action sequence until a waiting time interval
 has elapsed. By analyzing neuronal activity we show that the striatal
 response preceding the initiation of the learned sequence is strongly
 modulated by the time subjects wait before eliciting the sequence.
 Interestingly, the modulation is steeper in adolescent rats, which show a
 strong prevalence of impulsive responses compared to adults. We
 hypothesize this anticipatory striatal activity reflects the animals'
 subjective reward expectation, based on the elapsed waiting time, while
 the steeper waiting modulation in adolescence reflects age-related
 differences in temporal discounting, internal urgency states, or
 explore-exploit balance. 
description: Data were collected from several experiments that took place
 between 2013-09 to 2018-10 and 2022-01. Experiments were done with one
 male Long Evans rat at a time, and behavioral and electrophysiological
 data were collected in parallel during training sessions using
 commercially available hardware and software (sampling rate 32.5 kHz,
 Cheetah, Neuralynx). Neurophysiological and behavioral data were explored
 using NeuroScope (http://neuroscope.sourceforge.net; Hazan et al., 2006)⁠. Spike sorting was performed automatically, using KlustaKwik (http://klustawik.sourceforge.net), followed by a manual adjustment of the clusters (using “Klusters” software package; http://klusters.sourceforge.net, Hazan, et al., 2006)⁠. After the spike sorting procedure, all data were analyzed with MATLAB software using custom-built scripts and “FMAtoolbox” (http://fmatoolbox.sourceforge.net/). An additional group of animals was included in the revised version of the manuscript. These were part of behavior-only experiments, trained in the same chamber as the others and only behavioral data were collected. Custom-built software was written in English and documented in Spanish. All behavioral data is described in English.
description: The dataset .mat files are used with MATLAB. Additionally, there
 are spreadsheets containing behavioral data and mean normalized firing
 rates for all the registered units.
DOI: 10.5061/dryad.ncjsxksw8
title: Sex-specific maternal programming of corticosteroid binding globulin by predator odour

description: Predation is a key organizing force in ecosystems. The threat of predation
 may act to program the endocrine hypothalamic-pituitary-adrenal axis
 during development to prepare offspring for the environment they are
 likely to encounter. Such effects are typically investigated through
 measurement of corticosteroids (Cort). Corticosteroid-binding globulin
 (CBG) plays a key role in regulating the bioavailability of Cort, with
 only free unbound Cort being biologically active. We investigated the
 effects of prenatal predator odour exposure (POE) in mice on offspring CBG
 and its impact on Cort dynamics before, during, and after restraint stress
 in adulthood. POE males, but not females, had significantly higher serum
 CBG at baseline and during restraint and lower circulating levels
 of Free Cort. Restraint stress was associated with reduced liver
 transcript abundance of SerpinA6 (CBG-encoding gene)
 only in control males. POE did not
 affect SerpinA6 promoter DNA methylation. Our results
 indicate that prenatal exposure to a natural stressor led
 to increased CBG levels, decreased percent of Free Cort relative
 to total, and inhibited restraint stress-induced downregulation of CBG
 transcription. These changes suggest an adaptive response to a
 high predator risk environment in males but not females, that
 could buffer male offspring from chronic Cort exposure.
DOI: 10.5061/dryad.r7sqv9sd2
title: Spatial phylogenetics of the North American moss flora

description: Aim: We documented patterns of phylogenetic diversity (PD) and
 phylogenetic endemism (PE) in the moss flora of North America, determined
 how environmental variables explain these patterns, compared patterns in
 mosses to known patterns in angiosperms, and explored how patterns driven
 by subclades might conflict with patterns driven by other subclades.
 Location: North America north of Mexico Taxon: Mosses (Bryophyta) Methods:
 A maximum-likelihood tree inferred from publicly available sequence data,
 and locality data from ca. 7.5 × 105 herbarium specimens, were combined to
 build a dataset of 935 species (representing ca. 67% of the known moss
 flora). Spatial randomization procedures were used to find significance
 levels of PD and relative phylogenetic diversity (RPD) for the full
 dataset and three major subclades, as well as to carry out a Categorical
 Analysis of Neo- and Paleo-Endemism (CANAPE). Range weighted turnover in
 both species and PE was used to identify phytogeographic regions across
 the continent. Ordinations of environmental data were used to determine
 the distribution of PD, RPD, and phytogeographic regions within
 environmental space. Results of this study were compared to known patterns
 of phylodiversity in angiosperms. Results: Phylodiversity is distributed
 non-randomly. Some patterns, for example long branches in the southeastern
 US, are consistent with angiosperms, however there are strong contrasts as
 well. Overall patterns of PD and RPD are strongly influenced by different
 phylogenetic scales within mosses, indicating that signal from one clade
 can obscure patterns in others. Three primary phytogeographic zones are
 defined by both differing geological histories and differing current
 abiotic conditions Phytogeographic regions, PD, and RPD are all aligned
 with environmental variables. Main conclusions: There is evidence for both
 ecological and historical factors in shaping the moss flora of North
 America, and biogeographic differences between angiosperms and mosses
 appear to align with important life-history differences between the two
 groups.
DOI: 10.5061/dryad.r7sqv9sd3
title: Predators balance consequences of climate-change induced habitat shifts for range-shifting and resident species

description: While many species distributions are shifting poleward or up in elevation
 in response to a changing climate, others are shifting their habitats
 along localized gradients in environmental conditions as abiotic
 conditions become more stressful. Whether species are moving across
 regional or local environmental gradients in response to climate change,
 range-shifting species become embedded in established communities of
 competitors and predators. The consequences of these shifts for both
 resident and shifting species are often unknown, as it can be difficult to
 isolate the effects of multiple species interactions. Using a model system
 of insects in high-elevation ponds in the Rocky Mountains of Colorado, we
 sought to disentangle the effects of predation and intraguild interactions
 on the survival and development of a semi-permanent pond resident
 caddisfly Limnephilus externus and the habitat-shifting caddis Asynarchus
 nigriculus that is being forced into semi-permanent ponds as temporary
 ponds dry too quickly to complete development. We conducted a manipulative
 in-situ pond cage experiment in which L. externus and A. nigriculus
 caddisfly larvae in single-species treatments and together were exposed to
 the presence/absence of predatory Dytiscus diving beetle larvae. This
 approach allowed us to isolate the effects of intraguild interactions and
 predation on the survival and development of both the resident and
 habitat-shifting species. We found that intraguild interactions had strong
 negative effects on the resident and habitat-shifting species. Intraguild
 interactions reduced the survival of the resident L. externus and
 increased the variation in survival of the shifting A. nigriculus.
 However, Dytiscus predators reduced these negative effects, stabilizing
 the community by increasing L. externus survival and reducing variation in
 A. nigriculus survival. We also found that intraguild interactions reduced
 L. externus biomass but resulted in increased A. nigriculus development.
 A. nigriculus development was also increased by predation. Our results
 show that strong intraguild interactions between resident and shifting
 species are likely to have negative consequences for both species.
 However, the presence of predators reduces these negative consequences of
 the habitat shift on both the resident and the shifting.