cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.j2pyax
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sceloporus macdougalli",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 32 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032333-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8jfqmg
title: Occurrence Download

description: A dataset containing 194 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sceloporus maculosus",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 194 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032334-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.92w38t
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Paretroplus gymnopreopercularis)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049463-250811113504898/datasets/export for details.
DOI: 10.5281/zenodo.15845734
title: raw data for: "c-ALD-grown Metal Oxide Shell Enables Distance-Independent Triplet Energy Transfer from Quantum Dots to Molecular Dyes"

description: Hybrid nanocomposites including quantum dots (QDs) and molecular dyes offer tunability of charge and energy transfer processes, which are attractive for applications spanning from light-emitting devices to photocatalysis and photon upconversion. Core@shell QDs have garnered attention for their ability to modulate charge and energy transfer from the core to the dye via the shell. A few recent studies suggested that the core@shell QDs are less demanding in terms of QD-dye electronic coupling and that the distance-dependence of transfer efficiencies may vary from what is traditionally observed. However, the mechanistic role of the shell remains unclear. Here, we describe the synthesis of QD-dye nanocomposites including CdSe@AlOx core@shell QDs, and we report the observation of a nearly distance-independent triplet energy transfer (TEnT) to polyaromatic hydrocarbon (PAH) dyes from the CdSe core up to almost 2 nm. The use of colloidal atomic layer deposition (c-ALD) for the growth of the metal-oxide shell enables tunability of the system, which is crucial to elucidate the role of the shell and the thickness-dependence of the TEnT. We propose a plausible mechanism where defects in the metal oxide act as intermediate states, enabling electrons to tunnel across the oxide and achieving a long-range, distance-independent TEnT. The versatility of c-ALD, along with the ability of oxides to preserve the optoelectronic properties of QDs showcases the potential of oxide shells to optimize the QD-dye interaction to achieve long-range TEnT to molecular dyes, opening new avenues for applying QDs as sensitizers in light-harvesting, emission, and conversion applications.
DOI: 10.5281/zenodo.15845733
title: raw data for: "c-ALD-grown Metal Oxide Shell Enables Distance-Independent Triplet Energy Transfer from Quantum Dots to Molecular Dyes"

description: Hybrid nanocomposites including quantum dots (QDs) and molecular dyes offer tunability of charge and energy transfer processes, which are attractive for applications spanning from light-emitting devices to photocatalysis and photon upconversion. Core@shell QDs have garnered attention for their ability to modulate charge and energy transfer from the core to the dye via the shell. A few recent studies suggested that the core@shell QDs are less demanding in terms of QD-dye electronic coupling and that the distance-dependence of transfer efficiencies may vary from what is traditionally observed. However, the mechanistic role of the shell remains unclear. Here, we describe the synthesis of QD-dye nanocomposites including CdSe@AlOx core@shell QDs, and we report the observation of a nearly distance-independent triplet energy transfer (TEnT) to polyaromatic hydrocarbon (PAH) dyes from the CdSe core up to almost 2 nm. The use of colloidal atomic layer deposition (c-ALD) for the growth of the metal-oxide shell enables tunability of the system, which is crucial to elucidate the role of the shell and the thickness-dependence of the TEnT. We propose a plausible mechanism where defects in the metal oxide act as intermediate states, enabling electrons to tunnel across the oxide and achieving a long-range, distance-independent TEnT. The versatility of c-ALD, along with the ability of oxides to preserve the optoelectronic properties of QDs showcases the potential of oxide shells to optimize the QD-dye interaction to achieve long-range TEnT to molecular dyes, opening new avenues for applying QDs as sensitizers in light-harvesting, emission, and conversion applications.
DOI: 10.6084/m9.figshare.29994148
title: Final_dataset.csv

description: This dataset provides the geographical coordinates of Urban Heat Islands (UHIs) and Urban Cool Islands (UCIs) of the medium-size city of Poitiers in France. In addition, abundance, occurrence together with taxonomic, phylogenetic and functional diversity metrics and urban landscape variables are provided for each urban point, UHI or UCI, in the case of bird and bat assemblages.
DOI: 10.6084/m9.figshare.29994148.v1
title: Final_dataset.csv

description: This dataset provides the geographical coordinates of Urban Heat Islands (UHIs) and Urban Cool Islands (UCIs) of the medium-size city of Poitiers in France. In addition, abundance, occurrence together with taxonomic, phylogenetic and functional diversity metrics and urban landscape variables are provided for each urban point, UHI or UCI, in the case of bird and bat assemblages.
DOI: 10.3886/e231512
title: Database collating previous laboratory investigations into the pathogenesis of avian influenza viruses in wild avifauna of North America (ver. 2.0, August 2024)

description: A compilation of previously published results exploring the pathogenesis of avian influenza viruses in wild avian species in North America.
description: Dataset of publications that refer to pathogenesis of avian flu in North America.
DOI: 10.3886/e231512v1
title: Database collating previous laboratory investigations into the pathogenesis of avian influenza viruses in wild avifauna of North America (ver. 2.0, August 2024)

description: A compilation of previously published results exploring the pathogenesis of avian influenza viruses in wild avian species in North America.
description: Dataset of publications that refer to pathogenesis of avian flu in North America.
DOI: 10.5061/dryad.dd0b3
title: Data from: Environmental drivers of crocodyliform extinction across the Jurassic/Cretaceous transition

description: Crocodyliforms have a much richer evolutionary history than represented by
 their extant descendants, including several independent marine and
 terrestrial radiations during the Mesozoic. However, heterogeneous
 sampling of their fossil record has obscured their macroevolutionary
 dynamics, and obfuscated attempts to reconcile external drivers of these
 patterns. Here, we present a comprehensive analysis of crocodyliform
 biodiversity through the Jurassic/Cretaceous (J/K) transition using
 subsampling and phylogenetic approaches and apply maximum-likelihood
 methods to fit models of extrinsic variables to assess what mediated these
 patterns. A combination of fluctuations in sea-level and episodic
 perturbations to the carbon and sulfur cycles was primarily responsible
 for both a marine and non-marine crocodyliform biodiversity decline
 through the J/K boundary, primarily documented in Europe. This was tracked
 by high extinction rates at the boundary and suppressed origination rates
 throughout the Early Cretaceous. The diversification of Eusuchia and
 Notosuchia likely emanated from the easing of ecological pressure
 resulting from the biodiversity decline, which also culminated in the
 extinction of the marine thalattosuchians in the late Early Cretaceous.
 Through application of rigorous techniques for estimating biodiversity,
 our results demonstrate that it is possible to tease apart the complex
 array of controls on diversification patterns in major archosaur clades.
description: SI 1 Additional methods
 and dataContains age ranges,
 supertree construction details, mode of life details, and the
 environmental parameters used.SI 1 PDE construction,
 environmental variables.xlsxSI 2 JK croc
 occsRaw occurrence files
 including metadata for Jurassic/Cretaceous
 crocodyliformsSI 3 additional methods
 2Additional details on
 the time binning schemes, subsampling protocol, model-fitting procedure,
 and supertree building methods.SI 4 Diversity,
 extinction and origination resultsComplete results for
 biodiversity, extinction, and origination rates.SI 5 Correlation
 resultsComplete results of
 model-fitting procedureSI Genus
 treeGenus level
 supertreeSI Species
 treeSpecies level
 supertree
DOI: 10.5061/dryad.pj69f
title: Data from: Strontium isotopes and the long-term residency of thalattosuchians in the freshwater environment

description: [No abstract entered]
description: MartinetalSupp
 dataTables 1 and 2, Figures
 1 and 2Martinetal-Paleobiology-supp
 data .zip
DOI: 10.5061/dryad.5sk13
title: Data from: Monkeys head-gaze following is fast, precise and not fully suppressible.

description: Human eye-gaze is a powerful stimulus, drawing the observer's
 attention to places and objects of interest to someone else (‘eye-gaze
 following’). The largely homogeneous eyes of monkeys, compromising the
 assessment of eye-gaze by conspecifics from larger distances, explain the
 absence of comparable eye-gaze following in these animals. Yet, monkeys
 are able to use peer head orientation to shift attention (‘head-gaze
 following’). How similar are monkeys' head-gaze and human eye-gaze
 following? To address this question, we trained rhesus monkeys to make
 saccades to targets, either identified by the head-gaze of demonstrator
 monkeys or, alternatively, identified by learned associations between the
 demonstrators' facial identities and the targets (gaze versus
 identity following). In a variant of this task that occurred at random,
 the instruction to follow head-gaze or identity was replaced in the course
 of a trial by the new rule to detect a change of luminance of one of the
 saccade targets. Although this change-of-rule rendered the demonstrator
 portraits irrelevant, they nevertheless influenced performance, reflecting
 a precise redistribution of spatial attention. The specific features
 depended on whether the initial rule was head-gaze or identity following:
 head-gaze caused an insuppressible shift of attention to the target gazed
 at by the demonstrator, whereas identity matching prompted much later
 shifts of attention, however, only if the initial rule had been identity
 following. Furthermore, shifts of attention prompted by head-gaze were
 spatially precise. Automaticity and swiftness, spatial precision and
 limited executive control characterizing monkeys' head-gaze following
 are key features of human eye-gaze following. This similarity supports the
 notion that both may rely on the same conserved neural circuitry.
description: An excel data collected
 during psychophysical experimentsData.zip
DOI: 10.7910/dvn/k1vpks
title: 2024 Primary Election Study (Common Content)

description: Common content files for the 2024 Primary Election Study. General population samples and likely primary voter oversamples of a survey fielded during the Senate primary election in California, Michigan and Nevada.
DOI: 10.5061/dryad.2b09s
title: Data from: Pain intensity recognition rates via biopotential feature patterns with support vector machines

description: Background: The clinically used methods of pain diagnosis do not allow for
 objective and robust measurement, and physicians must rely on the
 patient’s report on the pain sensation. Verbal scales, visual analog
 scales (VAS) or numeric rating scales (NRS) count among the most common
 tools, which are restricted to patients with normal mental abilities.
 There also exist instruments for pain assessment in people with verbal and
 / or cognitive impairments and instruments for pain assessment in people
 who are sedated and automated ventilated. However, all these diagnostic
 methods either have limited reliability and validity or are very
 time-consuming. In contrast, biopotentials can be automatically analyzed
 with machine learning algorithms to provide a surrogate measure of pain
 intensity. Methods: In this context, we created a database of
 biopotentials to advance an automated pain recognition system, determine
 its theoretical testing quality, and optimize its performance. Eighty-five
 participants were subjected to painful heat stimuli (baseline, pain
 threshold, two intermediate thresholds, and pain tolerance threshold)
 under controlled conditions and the signals of electromyography, skin
 conductance level, and electrocardiography were collected. A total of 159
 features were extracted from the mathematical groupings of amplitude,
 frequency, stationarity, entropy, linearity, variability, and similarity.
 Results: We achieved classification rates of 90.94% for baseline vs. pain
 tolerance threshold and 79.29% for baseline vs. pain threshold. The most
 selected pain features stemmed from the amplitude and similarity group and
 were derived from facial electromyography. Conclusion: The machine
 learning measurement of pain in patients could provide valuable
 information for a clinical team and thus support the treatment assessment.
description: List of extracted
 biopotential pain featuresReference: Steffen
 Walter, Philipp Werner, Sascha Gruss, Harald C. Traue, Ayoub Al-Hamadi, et
 al.: The BioVid Heat Pain Database: Data for the Advancement and
 Systematic Validation of an Automated Pain Recognition System. In
 Proceedings of IEEE International Conference on Cybernetics, 2013. Pain
 stimulation data: Extracted features of biomedical signals (SCL, ECG, EMG
 at trapezius, corrugator and zygomaticus muscle); 85 subjects; features
 extracted of time windows of 5.5 seconds; used to classify pain
 intensities; 5 classes (pain intensity 0 to pain intensity 4), 20 samples
 per class per subject.List_ExtractedFeatures.xlsx
DOI: 10.5061/dryad.7894h
title: Data from: Quantifying age-dependent extinction from species phylogenies

description: Several ecological factors that could play into species extinction are
 expected to correlate with species age, i.e., time elapsed since the
 species arose by speciation. To date, however, statistical tools to
 incorporate species age into likelihood-based phylogenetic inference have
 been lacking. We present here a computational framework to quantify
 age-dependent extinction through maximum likelihood parameter estimation
 based on phylogenetic trees, assuming species lifetimes are gamma
 distributed. Testing on simulated trees shows that neglecting age
 dependence can lead to biased estimates of key macroevolutionary
 parameters. We then apply this method to two real data sets, namely a
 complete phylogeny of birds (class Aves) and a clade of self-compatible
 and -incompatible nightshades (Solanaceae), gaining initial insights into
 the extent to which age-dependent extinction may help explain
 macroevolutionary patterns. Our methods have been added to the R package
 TreePar.
description: Supplementary
 TextContains all
 mathematical derivations, detailed methodological descriptions, etc.,
 mentioned in the main text of the article.SupplText.pdfSupplementary FiguresContains all supplementary figures (S1-S7).SupplFigs.pdfSupplementary TablesContains all supplementary tables (S1-S14).SupplTables.pdf
DOI: 10.21223/p3/ldmfom
title: Dataset for: Participatory Varietal Selection of 10 late blight resistant clones (B1C5) in the locality of Quilcas in Junin, Peru

description: The Mother and Baby (M&B) trial methodology was adapted by CIP for Participatory Variety Selection (PVS) through decentralized evaluation networks and multi-year evaluations in potato growing areas in the Andean region. The M&B trial design encourages active participation of farmers through the application of treatments through systematic evaluations and selections of treatments in their own plots called "Baby trials" (i.e. farmer managed trials) and in fields with an experimental design called "Mother trials" (i.e. researcher managed trials). Objective: Analyze characteristics, attributes and preferences that men and women have when selecting a new potato variety at the phase of flowering and harvesting. A M&B trial was performed to evaluate 21 clones of the population B1C5 with late blight resistance at the locality of Quilcas, in Quilcas province, in Junín department, Peru. The trial design was a Randomized Complete Block Design (RCBD) with 3 replicates for Mother trials and 3 replicates for Baby trials during 2009-2010. In this experiment characteristics of plant (size, type of foliage), yield, quality, and pest and disease resistance during flowering and harvesting were evaluated. The number of participants was 9 at flowering phase (men=6 and women=3) and 21 at harvesting phase (men=9 and women=12). Additionally, an organoleptic evaluation was assessed at harvesting to evaluate appearance, taste and texture. The number of panelists was (men=4, women=5) for the organoleptic evaluation.
DOI: 10.5061/dryad.80r39
title: Data from: Markov switching autoregressive models for interpreting vertical movement data with application to an endangered marine apex predator

description: 1.Time series of animal movement obtained from bio-loggers are becoming
 widely used across all taxa. These data are nowadays of high quality,
 combining high resolution with precision, as the tags are able to collect
 for longer times and store larger quantities of data. Due to their nature,
 high-frequency data sequences often pose non-trivial problems in time
 series analysis: non-linearity, non-Normality, non-stationarity, and long
 memory. These issues can be tackled by modelling the data sequence as a
 realization of a stochastic regime switching process. 2. We suggest a
 novel Markov switching autoregressive model where the hidden Markov chain
 is non-homogeneous, with time-varying transition probabilities, whose
 dynamics depend on the dynamics of some contemporary categorical
 covariates. 3. To illustrate the use of the method, we apply it to the
 depth profiles of four individuals of flapper skate (Dipturus cf.
 intermedia) in order to identify swimming behaviours. Individual time
 series were obtained from data storage tags that recorded pressure every
 two minutes. The environmental covariates used were lunar phase (a proxy
 for the spring-neap tidal cycle), lunar cycle, and diel cycle. For all
 individuals two states (or regimes) were always selected (the
 autoregressive order was either three or four), representing different
 regimes of animal activity, i.e., state 1 for resting or horizontal
 swimming or slow vertical movement; state 2 for fast ascending and
 descending. The cycle of the four lunar phases was the only environmental
 covariate that explained the hidden state dynamics in all individuals,
 whereas lunar cycle was selected for two individuals and diel cycle for
 one only. 4. The method is an efficient approach to fit one-dimensional
 tag data using categorical environmental covariates, and to classify the
 observations into a small number of states representing individual
 behaviours of tagged individuals.
description: Individual_AThe file contains a series of pressure recordings obtained every two minutes from a data storage tag set on individual A.Individual_Bthe file contains a series of data obtained every two minutes from a data storage tag set on individual BIndividual_Cthe file contains a series of pressure recordings obtained every two minutes from a data storage tag set on individual CIndividual_Dthe file contains a series of pressure recordings obtained every two minutes from a data storage tag set on individual D
DOI: 10.5061/dryad.7st12
title: Data from: Genetic mapping shows intraspecific variation and transgressive segregation for caterpillar-induced aphid resistance in maize

description: Plants in nature have inducible defenses that sometimes lead to targeted
 resistance against particular herbivores, but susceptibility to others.
 The metabolic diversity and genetic resources available for maize (Zea
 mays) make this a suitable system for a mechanistic study of
 within-species variation in such plant-mediated interactions between
 herbivores. Beet armyworms (Spodoptera exigua) and corn leaf aphids
 (Rhopalosiphum maidis) are two naturally occurring maize herbivores with
 different feeding habits. Whereas chewing herbivore-induced methylation of
 2,4-dihydroxy-7-methoxy-1,4-benzoxazin-3-one glucoside (DIMBOA-Glc) to
 form 2-hydroxy-4,7-dimethoxy-1,4-benzoxazin-3-one glucoside (HDMBOA-Glc)
 promotes caterpillar resistance, lower DIMBOA-Glc levels favor aphid
 reproduction. Thus, caterpillar-induced DIMBOA-Glc methyltransferase
 activity in maize is predicted to promote aphid growth. To test this
 hypothesis, the impact of S. exigua feeding on R. maidis progeny
 production was assessed using seventeen genetically diverse maize inbred
 lines. Whereas aphid progeny production was increased by prior caterpillar
 feeding on lines B73, Ki11, Ki3, and Tx303, it decreased on lines Ky21,
 CML103, Mo18W, and W22. Genetic mapping of this trait in a population of
 B73 x Ky21 recombinant inbred lines identified significant quantitative
 trait loci on maize chromosomes 1, 7 and 10. There is transgressive
 segregation for aphid resistance, with the Ky21 alleles on chromosomes 1
 and 7 and the B73 allele on chromosome 10 increasing aphid progeny
 production. The chromosome 1 QTL coincides with a cluster of three maize
 genes encoding benzoxazinoid O-methyltransferases that convert DIMBOA-Glc
 to HDMBOA-Glc. Gene expression studies and benzoxazinoid measurements
 indicate that S. exigua-induced responses in this pathway differentially
 affect R. maidis resistance in B73 and Ky21.
description: Dryad entry for
 MEC-15-0652.R1Excel file with raw data
 for all figures except Figure 5A, which is uploaded as a separate Excel
 file.WinQTL data for Fig 5A -
 QTL mapping of aphid progeny on B73xKY21 RILsExcel file with raw data
 for the quantitative trait mapping of caterpillar-induced aphid resistance
 that is shown in Figure 5A. This file is in the right format for analysis
 with the WinQTL program.Data for Fig 5A - B73 x
 Ky21 marker dataThis Excel file contains
 molecular marker data for B73 x Ky21 recombinant inbred lines. Marker data
 were downloaded from www.panzea.org. The same marker data, in a format for
 use with the WinQTL genetic mapping program, are included in the file
 "WinQTL data for Fig 5A - QTL mapping of aphid progeny on B73xKY21
 RILs,Data
 for Fig 5A - B73 x Ky21 Panzea marker
 data.xlsx