cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.30620582
title: <b>Intelligent deep reinforcement learning-based real-time job scheduler</b><b>for energy-efficient cloud data centres in Botswana</b>

description: Cloud computing’s growth has increased data-centre energy demand, a pressing issue in supply-constrained, coal-reliant grids such as Botswana’s. This study proposes and evaluates an Intelligent Deep-Reinforcement-Learning–Based Scheduler (IDBS) that makes real-time job-to-VM placement decisions to minimise energy use while maintaining quality of service (QoS). We formulate scheduling as a Markov decision process with explicit state/action spaces for heterogeneous VMs and mixed job types and train a Deep Q-Network with experience replay and a target network for stability. In simulation with 8,000 Poisson-arriving jobs spanning I/O- and compute-intensive workloads on heterogeneous VMs, IDBS is benchmarked against Random, Round Robin, Earliest, and JingDQN. Across scenarios that vary arrival rates, job-type proportions, and VM-type proportions, IDBS consistently lowered energy cost, reduced average response time, raised job-completion success, increased VM utilisation, and sustained higher QoS relative to baselines. These findings indicate that DRL-based, QoS-constrained scheduling can deliver material efficiency gains under realistic operating conditions, offering a practical route to greener, more reliable cloud services for Botswana’s public-sector and commercial workloads and a policy-relevant lever for demand-side efficiency in emerging data-centre deployments.
DOI: 10.6084/m9.figshare.30620582.v1
title: <b>Intelligent deep reinforcement learning-based real-time job scheduler</b><b>for energy-efficient cloud data centres in Botswana</b>

description: Cloud computing’s growth has increased data-centre energy demand, a pressing issue in supply-constrained, coal-reliant grids such as Botswana’s. This study proposes and evaluates an Intelligent Deep-Reinforcement-Learning–Based Scheduler (IDBS) that makes real-time job-to-VM placement decisions to minimise energy use while maintaining quality of service (QoS). We formulate scheduling as a Markov decision process with explicit state/action spaces for heterogeneous VMs and mixed job types and train a Deep Q-Network with experience replay and a target network for stability. In simulation with 8,000 Poisson-arriving jobs spanning I/O- and compute-intensive workloads on heterogeneous VMs, IDBS is benchmarked against Random, Round Robin, Earliest, and JingDQN. Across scenarios that vary arrival rates, job-type proportions, and VM-type proportions, IDBS consistently lowered energy cost, reduced average response time, raised job-completion success, increased VM utilisation, and sustained higher QoS relative to baselines. These findings indicate that DRL-based, QoS-constrained scheduling can deliver material efficiency gains under realistic operating conditions, offering a practical route to greener, more reliable cloud services for Botswana’s public-sector and commercial workloads and a policy-relevant lever for demand-side efficiency in emerging data-centre deployments.
DOI: 10.7910/dvn/e6bnyl
title: Mathematica file for the calculations of local and global heat capacities of a confined Bose gas

description: Mathematica file for the calculations of local and global heat capacities of confined non-interacting Bose gas for the data generation of the figures for the submitted manuscript to PRE.
DOI: 10.15468/dl.7ztaya
title: Occurrence Download

description: A dataset containing 146 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Iran (Islamic Republic of)",
 "TaxonKey is Hordeum brevisubulatum"
 ]
}

 The dataset includes 146 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033369-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17609714
title: crash_dataset_2022_2024.xls,sensor_dataset_2022-2024

description: The uploaded File input is the raw Log-file records of Traffic-Sensors in addition to Database tables on Inventory Roads from Road Maintenance & Transportation Organization (RMTO). The data set contains geocoded observations (x–y point locations) for road segments and sensors, but all sensitive or identifying attributes have been deleted or obscured in the process of release. The original data were provided under official correspondence to authors from RMTO, and the authors curated, cleaned and formatted the data for scientific analysis and reproducible research. RMTOis mentioned as a Creator in recognition of its work as the primary collector and owner of the source data.
DOI: 10.5281/zenodo.17609713
title: crash_dataset_2022_2024.xls,sensor_dataset_2022-2024

description: The uploaded File input is the raw Log-file records of Traffic-Sensors in addition to Database tables on Inventory Roads from Road Maintenance & Transportation Organization (RMTO). The data set contains geocoded observations (x–y point locations) for road segments and sensors, but all sensitive or identifying attributes have been deleted or obscured in the process of release. The original data were provided under official correspondence to authors from RMTO, and the authors curated, cleaned and formatted the data for scientific analysis and reproducible research. RMTOis mentioned as a Creator in recognition of its work as the primary collector and owner of the source data.
DOI: 10.15468/dl.hpgeuz
title: Occurrence Download

description: A dataset containing 226 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Prunus argentea"
 ]
}

 The dataset includes 226 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033371-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ex2e9j
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Dichanthelium acuminatum (Sw.) Gould & C.A.Clark"
 ]
}

 The dataset includes 7 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009661-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d56285
title: Occurrence Download

description: A dataset containing 1493 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Israel, Jordan, Lebanon, Syrian Arab Republic, Türkiye, Iraq, Iran (Islamic Republic of), Greece, Bulgaria, Ukraine)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Aegilops speltoides Tausch"
 ]
}

 The dataset includes 1493 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009662-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5061/dryad.0k6djh9xh
title: Effects of soil salinity on the expression of direct and indirect defences in wild cotton (Gossypium hirsutum)

description: Previous studies have reported effects of abiotic factors on
 herbivore-induced plant defences based on effects on single plant traits.
 However, plants commonly express multiple defences simultaneously and
 these traits are often correlated. Thus, a fuller understanding of
 abiotic-context dependency in plant defence requires measuring multiple
 traits and addressing their patterns of correlated expression. We
 evaluated the effects of soil salinity on the induction of direct
 (phenolic compounds, gossypol gland density) and indirect (volatile
 organic compounds, extrafloral nectar) defensive traits in wild cotton
 (Gossypium hirsutum). We asked whether soil salinity affects the induction
 of these traits, and whether it shapes trait correlations potentially
 underlying salinity effects on trait induction. We conducted a factorial
 experiment with 16 cotton genotypes where we manipulated soil salinity and
 defence induction by applying artificial leaf damage (25% mechanical
 damage and caterpillar oral secretions) and measured defence levels at
 different time points post-damage. Leaf damage induced most traits except
 gossypol gland density, whereas salinity did not have a mean effect
 (across constitutive and induced levels) on any of the measured traits.
 Nonetheless, salinity prevented the induction of phenolic compounds
 (condensed and hydrolysable tannins), and also affected trait
 correlations. Specifically, phenolic compounds were negatively associated
 with nectar production only under salinized conditions, an apparent
 trade-off that presumably affects the induced levels of phenolic
 compounds. In addition, positive correlations between phenolic compounds
 and gland density and root biomass observed under control conditions were
 lost under salinized conditions. By investigating the effects of soil
 salinity on the expression of multiple direct and indirect defensive
 traits and their underlying correlations, these findings build toward a
 better understanding of how abiotic context-dependency shapes plant
 allocation to and expression of multiple defensive traits.
description: Leaf defensive traits were measured on wild cotton plants found
 under greenhouse conditions and subjected to soil salinization and
 (subsequent) artificial leaf herbivory. Extrafloral nectar
 traits and volatile compounds were measured shortly after leaf damage
 (24-48 h), and phenolic compounds were measured at two time points,
 namely: one week and three weeks after damage. Pigment gland density was
 also measured during this latter time point.  At the end of the
 experiment, we collected plants to measure root, stem, and new leaf
 biomass.
description: The data set is organized in four files: nectar traits,
 volatiles, short term phenolics, and long term phenolics. The latter file
 also includes pigment gland density and biomass variables.
DOI: 10.5061/dryad.0gb5mkkzf
title: Cannot see the diversity for all the species: evaluating inclusion criteria for local species lists when using abundant citizen science data

description: Abundant citizen science data on species occurrences is becoming
 increasingly available and enables identifying composition of communities
 occurring at multiple sites with high temporal resolution. However, for
 species displaying temporary patterns of local occurrences, i.e. that are
 transient to some sites, biodiversity measures are clearly dependent on
 the criteria used to include species into local species lists. Using
 abundant opportunistic citizen science data from frequently visited
 wetlands we investigated the sensitivity of α- and β-diversity estimates
 to the use raw vs. detection-corrected data and to the use of inclusion
 criteria for species presence reflecting alternative site use. We tested 7
 inclusion criteria (with varying number of days required to be present) on
 time series of daily occurrence status during a breeding season of 90 days
 for 77 wetland bird species. We show that even when opportunistic
 presence-only observation data is abundant, raw data may not produce
 reliable local species richness estimates and rank sites very differently
 in terms of species richness. Furthermore, occupancy model based - and -
 diversity estimates were sensitive to the inclusion criteria used. Total
 species lists (all species observed at least once during a season) may
 therefore mask diversity differences among sites in local communities of
 species, by e.g. including vagrant species on potentially breeding
 communities and change the relative rank order of sites in terms of
 species richness. Very high sampling effort does not necessarily free
 opportunistic data from its inherent bias and can produce a pattern in
 which many species are observed at least once almost everywhere, thus
 leading to a possible paradox: the large amount of biological information
 may hinder its usefulness. Therefore, when prioritizing among sites to
 manage or preserve species diversity estimates need to be carefully
 related to relevant inclusion criteria depending on the diversity estimate
 in focus.
description: This table summarise the site and species specific probability of
 deteciton obtained from each species occupancy model. Values are point
 estimates representing the median of the posterior probability
 distribution of the probability of detection per site, given a field visit
 of quaality equal to the maximum observed quality (Species List Length =
 50). That is, each value represents the maximum expected detection
 probability per site.
DOI: 10.5061/dryad.3xsj3txdb
title: Data from: Artificial agri-environment scheme ponds do not replicate natural environments despite higher aquatic and terrestrial invertebrate richness and abundance

description: 1. Farmland ponds are a highly threatened freshwater habitat which has
 undergone dramatic losses during the last 200 years due to land drainage
 schemes and agricultural intensification. Agri-environment schemes (AES)
 incentivise farmers to adopt farming methods to benefit biodiversity, yet
 there are a paucity of data evaluating the success of artificially created
 AES ponds as analogues of natural ponds in an attempt to recreate lost
 environments. 2. We examined variation in environmental parameters and
 aquatic and terrestrial invertebrate communities between 38 natural ponds
 and 91 artificial ponds that were created in south-west Ireland (n=129).
 3. Artificial ponds in agricultural grassland did not replicate natural
 ponds in adjacent semi-natural habitats differing significantly in size,
 pH, conductivity, productivity (indicated by submerged and emergent plant
 cover including algae) and surrounding vegetation structure i.e. sward
 height. These differences significantly influenced aquatic and terrestrial
 invertebrate community structure with a suite of indicator taxa in both
 natural and artificial ponds. 4. The conservation value of artificial
 ponds in agricultural grasslands should not be underestimated as they had
 43% higher aquatic species richness and 33% higher aquatic species
 abundance than natural ponds in adjacent semi-natural habitats. 5.
 Synthesis and applications. We demonstrate that artificial
 agri-environment scheme ponds created in agricultural grasslands, whilst
 not direct analogues of natural ponds in adjacent semi-natural habitats,
 do fulfil a role in preserving high local biodiversity albeit representing
 a different community of species. Creation of ponds in farmland as well as
 in adjacent natural habitats could provide a wider range of environmental
 conditions and richer associated macroinvertebrate communities, increasing
 landscape connectivity and further enhancing regional biodiversity.
description: The aquatic macroinvertebrate assemblage of each pond was
 surveyed using an approach combining sweep netting and baited bottle
 trapping. This combined approach enabled a comprehensive estimate of taxa
 richness. Sampling was conducted during June and July 2016 with both
 samples pooled within each pond. In some cases, due to low water levels,
 only sweep netting was used and thus only ponds where both types of
 sampling were successful were used in analyses lowering our final sample
 size to 86 ponds. The terrestrial invertebrate assemblage of each pond was
 surveyed using pitfall traps. Traps were left <i>in-situ</i>
 for a period of four weeks (between late April and late May
 2017).
DOI: 10.15468/dl.pbqwsq
title: Occurrence Download

description: A dataset containing 66 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Brya ebenus",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 66 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002480-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5061/dryad.0zpc866vv
title: Data from: Offspring beg more towards larger females in a burying beetle

description: Offspring of many animals beg for food from parents. Begging is often
 costly, and offspring should seek to reduce such costs to maximise their
 returns on begging. Whenever multiple adults provide care for a joint
 brood, as in species where multiple females breed communally, offspring
 should beg towards the parent that provisions the most food. Here, we
 investigate whether larvae spend more time begging towards larger females
 in the burying beetle Nicrophorus vespilloides. Prior work on this species
 shows that larger females provision more food than smaller ones,
 suggesting that larvae would benefit by preferentially begging towards
 larger females. To test for such a preference, we provided experimental
 broods with a simultaneous choice between two dead females: a smaller and
 a larger one. Larvae spent more time begging towards larger females. We
 next examined the behavioural mechanism for why larvae begged towards
 larger females. Larvae spent more time in close contact with larger
 females over smaller ones, whilst there was no evidence that larvae begged
 more when in close contact with larger females. Thus, larvae begged more
 towards the larger female simply as a consequence of spending more time
 close to larger females. Our findings have important implications for our
 understanding of parent-offspring communication by showing that offspring
 can choose between parents based on parental attributes, such as body
 size, reflecting how much food parents are likely to provision.
DOI: 10.15468/ctfh9v
title: A catalog of Nemestrinidae (Diptera: Brachycera: Nemestrinoidea) from Chile

description: This dataset contains the digitized treatments in Plazi based on the original journal article González, Christian R., Elgueta, Mario, Carvacho, Camila, Pañinao-Monsálvez, Laura, Barahona-Segovia, Rodrigo M. (2023): A catalog of Nemestrinidae (Diptera: Brachycera: Nemestrinoidea) from Chile. Zootaxa 5360 (2): 151-193, DOI: 10.11646/zootaxa.5360.2.1, URL: https://www.mapress.com/zt/article/download/zootaxa.5360.2.1/52112AbstractA catalog of the Nemestrinidae from Chile is provided. Included are all valid names and synonyms for the 37 species and four genera from Chile, including information about the name, author, year of publication, page number, type species, type locality, and references. Trichophthalma Westwood is the most species-rich genus in Chile, with eighteen species, followed by Hyrmophlaeba Rondani, with twelve species. The geographical distribution of species was recorded from the examination of bibliographic data, label data on specimens in collections, and records of citizen science. Biological interactions are provided for each species when possible.
DOI: 10.5061/dryad.jsxksn06s
title: WEGE: A new metric for ranking locations for biodiversity conservation

description: Aim Effective policy making for biological conservation requires the
 identification and ranking of the most important areas for protection or
 management. One of the most frequently used systems for selecting priority
 areas is Key Biodiversity Areas (hereafter KBAs), developed by the
 International Union for Conservation of Nature (IUCN). However, KBAs
 cannot be used to rank areas, potentially limiting their use when limited
 funding is available. To tackle this shortcoming and facilitate spatial
 prioritization, here we develop and validate the “WEGE index” (Weighted
 Endemism including Global Endangerment index), consisting of an adaptation
 of the EDGE score (Evolutionarily Distinct and Globally Endangered). WEGE
 allows the ranking of any set of locations according to the KBA guidelines
 and on a continuous scale. Location Global. Methods We calculated the EDGE
 score, Weighted Endemism, Evolutionary distinctiveness, Extinction risk
 and our newly developed WEGE index for all terrestrial species of
 amphibians, mammals and birds accessed by IUCN. We then compared the
 performance of each of those five indices at prioritizing areas according
 to the KBA guidelines. Results We found that for all taxa surveyed, WEGE
 was consistently better at identifying areas that trigger KBA status. Main
 conclusions In our analyses, WEGE outperformed all other methods and
 metrics designed for similar purposes. It can therefore serve as a robust
 evidence-based methodology to prioritize among otherwise equally qualified
 sites according to the KBA categories. WEGE can therefore support
 transparent, evidence-based and biologically meaningful decision-making
 for conservation priorities.
description: Using IUCN’s range maps for all assessed terrestrial amphibians
 (6,615 species), mammals (5,610) and birds (10,549) (2019-3: IUCN 2019) we
 calculated EDGE, ED, ER, WE, WEGE and cells that trigger KBA status for
 criteria A1a, A1b, A1e and B1 in a global scale in resolutions of c. 100
 x100 km (10,000 km<sup>2</sup>) and c. 20 x 20 km (400
 km<sup>2</sup>) grids on a Berhmann projection map. We note
 that the sizes of the cells are area-true but involve some modifications
 of the shapes. The actual size is only 100 x100 km at 30 degrees North or
 South.
DOI: 10.5061/dryad.b5mkkwhb3
title: Data from: Evolutionary and plastic phenotypic change can be just as fast as changes in population densities

description: Evolution and plasticity can drive population-level phenotypic change
 (e.g., changes in the mean phenotype) on time scales comparable to changes
 in population densities.  However, it is unclear if phenotypic
 change has the potential to be just as fast as changes in densities, or if
 comparable rates of change only occur when densities are changing slow
 enough for phenotypes to keep pace. Moreover, it is unclear if this
 depends on the mode of adaptation. Using scaling theory and fast-slow
 dynamical systems theory, we develop a method for comparing maximum rates
 of density and phenotypic change estimated from population-level time
 series data.  We apply our method to 30 published empirical
 studies where changes in morphological traits are caused by evolution,
 plasticity, or an unknown combination.  For every study, the
 maximum rate of phenotypic change was 0.5 to 2.5 times faster than the
 maximum rate of change in density.  Moreover, there were no
 systematic differences between systems with different modes of
 adaptation.  Our results show that plasticity and evolution can
 drive phenotypic change just as fast as changes in densities.  We
 discuss the implications of our results in terms of the strengths of
 feedbacks between population densities and traits.
description:  Data was either extracted from PDFs or provided by authors of
 the original study.
description: Details provided in README.txt and online supplementary material
 on publisher's website