cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5061/dryad.m0cfxpp2c
title: LADPU Smart Meter Data

description: This dataset contains the electric power consumption data from the Los
 Alamos Public Utility Department (LADPU) in New Mexico, USA. The data was
 collected by Landis+Gyr smart meters devices on 1,757 households at North
 Mesa, Los Alamos, NM. The sampling rate is one observation every fifteen
 minutes (i.e., 96 observations per day). For most customers, the data
 spans about six years, from July 30, 2013 to December 30, 2019.
 However, for some customers, the period is reduced. The dataset contains
 missing values and duplicated measurements. 
description: This dataset is provided in its original format, without cleaning
 or pre-processing. The only procedure performed was for anonymization
 reasons. Thus, the data are not normalized, and it has missing values and
 duplicate entries (i.e., more than one measurement for the same time).
 However, these issues represent only a small portion of data.
DOI: 10.5061/dryad.573n5tb67
title: Heterogenous susceptibility to R-pyocins in populations of Pseudomonas aeruginosa sourced from cystic fibrosis lungs

description: Bacteriocins are proteinaceous antimicrobials produced by bacteria which
 are active against other strains of the same species. R-type pyocins are
 phage tail-like bacteriocins produced by Pseudomonas aeruginosa. Due to
 their anti-pseudomonal activity, R-pyocins have potential as therapeutics
 in infection. P. aeruginosa is a Gram-negative opportunistic pathogen and
 is particularly problematic for individuals with cystic fibrosis (CF). P.
 aeruginosa from CF lung infections develop increasing resistance to
 antibiotics, making new treatment approaches essential. P. aeruginosa
 populations become phenotypically and genotypically diverse during
 infection, however, little is known of the efficacy of R-pyocins against
 heterogeneous populations. R-pyocins vary by subtype (R1-R5),
 distinguished by binding to different residues on the lipopolysaccharide
 (LPS). Each type varies in killing spectrum, and each strain produces only
 one R-type. To evaluate the prevalence of different R-types, we screened
 P. aeruginosa strains from the International Pseudomonas Consortium
 Database (IPCD) and from our biobank of CF strains. We found that (i)
 R1-types were the most prevalent R-type among strains from respiratory
 sources; (ii) there is a large number of strains lacking R-pyocin genes,
 and (iii) isolates collected from the same patient have the same R-type.
 We then assessed the impact of intra-strain diversity on R-pyocin
 susceptibility and found a heterogenous response to R-pyocins within
 populations, likely due to differences in the LPS core. Our work reveals
 that heterogeneous populations of microbes exhibit variable susceptibility
 to R-pyocins and highlights that there is likely heterogeneity in response
 to other types of LPS-binding antimicrobials, including phage.
description: The readme file contains a
 description of the dataset provided and detail regarding the collection of
 the data. Information on how the data was analyzed can be found in the
 associated manuscript referenced above.
DOI: 10.5061/dryad.fj6q573st
title: Transcriptome analysis of ionic-liquid tolerant Bacillus amyloliquefaciens CMW1 and identification of a novel efflux pump

description: Bacteria that exhibit ionic-liquid (IL) tolerance are useful in chemical
 industries using renewable carbon sources pretreated by ILs to produce
 biofuels and fine chemicals. Although an IL, 1-butyl-3-methylimidazolium
 chloride ([BMIM]Cl), has a remarkable ability to solubilize wood
 components, [BMIM]Cl inhibits the growth of various bacterial hosts useful
 for bioconversion. We previously isolated a 10% [BMIM]Cl-tolerant
 bacterium Bacillus amyloliquefaciens CMW1. Here we report novel mechanisms
 of tolerance to [BMIM]Cl in strain CMW1 and a novel major facilitator
 superfamily (MFS) transporter coded by an ionic-liquid tolerance (ILT)
 gene. First, using CMW1 cells grown in the presence or absence of 10%
 [BMIM]Cl, whole-transcriptome analysis and differentially expressed gene
 analysis were performed. Probable mechanisms of tolerance to [BMIM]Cl
 include uptake of osmoprotectants from the culture medium toward CMW1
 cells and the export of [BMIM] cations that accumulated in CMW1 cells. The
 finding represents a first step in elucidation of the mechanisms of IL
 resistance in Gram-positive bacteria. Second, we conferred tolerance to 5%
 [BMIM]Cl on [BMIM]Cl-susceptible Brevibacillus choshinensis using ILT
 gene. This finding provides a notable basis for engineering IL-tolerant
 bacterial hosts that are applicable for the effective and sustainable
 production of industrially important chemicals.
DOI: 10.5061/dryad.83bk3j9qc
title: Selective and sensitive dual colorimetric cyanide and fluorescent azide probe

description: IR-780 is aheptamethine cyanine dye that exhibits strong absorbance in the
 near infrared region. Herein, we are reporting the use of IR-780 dye as a
 dual sensor for chromogenic detection of cyanide and fluorogenic sensing
 of azide in acetonitrile. Cyanide causes instant, dramatic color change of
 the dye solution from green to yellow, in addition to dramatic spectral
 changes in the UV-Vis spectrum. Interaction of cyanide with the dye caused
 a dramatic decrease in the intensity of the strong absorption band at 780
 nm and a concomitant appearance of a band at 435nm. Other monovalent ions
 including fluoride, chloride, bromide, iodide, dihydrogen phosphate,
 thiocyanate, and acetate caused no significant color or spectral changes.
 UV-Vis studies showed that the IR-780 dyeis very sensitive and selective
 to cyanide. The limit of detection for cyanide in acetonitrile was 0.39
 µM. Interestingly, the IR-780 dyeexhibited strong fluorescence at 535nm
 upon interaction with azide while its initial emission at 809 nm was
 quenched. Detection of cyanide and azide using IR-780was accomplished by
 both UV-Vis and fluorescence spectroscopy.
description: The data sets are absobance and emission values obtained via
 UV-Vis and Fluorescence spectrophotometric techniques. The outcome is
 presented as figures in the manuscript.
DOI: 10.5061/dryad.d7wm37q0d
title: Data from: Statistical analysis of the presidential elections in Belarus in 2020

description: Elections in Belarus attract much attention around the world. The election
 result is declared as a victory of Mr. Lukashenko with 80%
 votes. It is interesting to give the simplest statistical
 analysis of this victory. According to Belarus law, protocols of precinct
 election commissions (PECs) must be posted up just after the
 election procedure, so that everybody could take a photograph of the
 protocols. Currently, 1527 of the 5767 protocols of
 PECs are available in the open access
 at https://docs.google.com/spreadsheets/d/17aK3JxBTGtzULB0-YZGOF0hJwhuViHO3/edit#gid=84585767. We focus an attention on two arrays of numbers taken from these photographs. Namely, the number Ni  of voters at some polling station and the number Mi of voters for Mr. Lukashenko at the same polling station. These numbers give a possibility to calculate the average percentage of those who voted for Mr. Lukashenko, which turns out to be about 60%. That is, a random sample approximately of ¼ of total number of protocol gives a value that differs at about 20% from the declared total value 80%.  Using Monte-Carlo simulation we have calculated a probability of this event and obtain less than one part in million. Next we have considered  Ni and Mi as the random variables and calculate probability distribution functions for Mi/Ni and Mi/&lt;Ni&gt; quantities. First function f(x) is of non Gaussian form and has a maximum at x≈0.6, and, an additional maximum at x≈0.8. Second function f(y) has only one maximum at y≈0.6. One the possible explanations is that the correlation (i.e. maximum) in distribution f(x) at x≈0.8  arises due to artificial trimming of the percentage of those who voted for Lukashenko to 80%  in some polling stations.
description: Notebook is for Wolfram Mathematica, version 12. It use smoothed
 Gaussian kernel to calculate probability distribution functions. Files
 *.txt contain N<sub>i</sub> and
 M<sub>i </sub>arrays for city of Minsk, ans five regions of
 Belarus. A notebook DistributionsGenBel.nb calculates probability
 distribution functions for
 x=M<sub>i</sub>/N<sub>i</sub> and
 y=M<sub>i</sub>/&lt;N<sub>i</sub>&gt;
 values. Then it calculates mean values over some random sample from 1527
 protocols. 
description: The files *.txt have to be in the same directory with the
 notebook.
DOI: 10.5061/dryad.18931zcw0
title: Data from: Search for top-down and bottom-up drivers of latitudinal trends in insect herbivory in oak trees in Europe

description: This file correspond to the dataset that has being used in the article
 ‘Search for top-down and bottom-up drivers of latitudinal trends in insect
 herbivory in oak trees in Europe’ by Valdés-Correcher et al. 2020
 published in Global Ecology and Biogeography. Variables included in the
 dataset : Variable Detailed explanation of the variables Tree_ID
 Identity given to each oak Partner_ID Identity given to each scientific
 and school partner Partner type Type of partner as there were scientific
 partners and also school partners Country Country where the oak was
 sampled Latitude and Longitude Coordinates of the oak sampled Installation
 Date where plasticine caterpillars were installed Survey The survey when
 plasticine caterpillars were checked for predation activity Removal Date
 when caterpillars were removed from the oak Caterpillars attacked by birds
 Number of caterpillars that were attacked by birds in each survey
 Caterpillars installed Total number of caterpillars installed in each oak
 in each survey Leaf damage The percentage of leaf area that was consumed
    or mined by insect herbivores (averaged leaf damage
 at the oak level) Incidence of leaf-miners The proportion of leaves with
 leaf-mines Incidence of gall-inducers The proportion of leaves with galls
 Miners.1 Number of leaves with mines Miners.0 Number of leaves without
 mines Galls.1 Number of leaves with galls Galls.0 Number of leaves without
 galls Year Year when oak was sampled Spring temperature (amj) The mean
 temperature from April to June Spring Precipitation (amj) The mean
 precipitation from April to June Circumference of the tree Circunference
 of the oak at 1.30m Bird predation Ratio of % attacked caterpillars on
 exposition period Lignin (mg g⁻¹ )   Condensed tannins (mg g⁻¹ )
   Hydrolysable tannins (mg g⁻¹ )   Flavonoids (mg g⁻¹ )
 Leaf traits including leaf phenolics and nutritional traits Soluble sugar
 (g L⁻¹)   Cellulose (g)   N:P ratio   C:N ratio
  
description: The paper to which is associated this dataset present all the
 metodology that was followed to collect all the data.
DOI: 10.5281/zenodo.18396304
title: Comparative Study of Sentiment Analysis Models of ANTAM Shares Based on Platform X Reviews

description: This dataset supports the research titled “Comparative Study of Sentiment Analysis Models of ANTAM Shares Based on Platform X Reviews.”It consists of two primary components: Sentiment Data and Stock Return Data, which are used to analyze the relationship between public sentiment expressed on Platform X and the performance of ANTAM (PT Aneka Tambang Tbk) shares.

The Sentiment dataset contains text-based user reviews and opinions collected from Platform X that are related to ANTAM shares. Each record includes preprocessed textual data and corresponding sentiment labels (e.g., positive, negative, or neutral), which serve as input for evaluating and comparing multiple sentiment analysis models.

The Return dataset contains historical stock return data for ANTAM shares over the same observation period as the sentiment data. This dataset is used to assess market response and to examine how sentiment signals correlate with actual stock performance.

Together, these datasets enable:





Comparative evaluation of different sentiment analysis models




Analysis of sentiment trends related to ANTAM shares




Examination of the relationship between social media sentiment and stock returns



This dataset is intended for use in academic research, machine learning experiments, and financial sentiment analysis studies.
DOI: 10.5281/zenodo.18396303
title: Comparative Study of Sentiment Analysis Models of ANTAM Shares Based on Platform X Reviews

description: This dataset supports the research titled “Comparative Study of Sentiment Analysis Models of ANTAM Shares Based on Platform X Reviews.”It consists of two primary components: Sentiment Data and Stock Return Data, which are used to analyze the relationship between public sentiment expressed on Platform X and the performance of ANTAM (PT Aneka Tambang Tbk) shares.

The Sentiment dataset contains text-based user reviews and opinions collected from Platform X that are related to ANTAM shares. Each record includes preprocessed textual data and corresponding sentiment labels (e.g., positive, negative, or neutral), which serve as input for evaluating and comparing multiple sentiment analysis models.

The Return dataset contains historical stock return data for ANTAM shares over the same observation period as the sentiment data. This dataset is used to assess market response and to examine how sentiment signals correlate with actual stock performance.

Together, these datasets enable:





Comparative evaluation of different sentiment analysis models




Analysis of sentiment trends related to ANTAM shares




Examination of the relationship between social media sentiment and stock returns



This dataset is intended for use in academic research, machine learning experiments, and financial sentiment analysis studies.
DOI: 10.5061/dryad.j9kd51cb2
title: Data from: When does growth rate influence fitness in a colonial marine invertebrate?

description: Growth rate affects body size, and larger body sizes are often associated
 with the capacity to produce more surviving offspring. However, the
 assumption that growth rate should positively relate to fitness is rarely
 tested, especially in colonial marine invertebrates where size and age can
 be decoupled. We measured growth, survival, and reproduction through
 repeated census of 97 colonies from two populations of a marine bryozoan
 in the field from settlement to the end of their reproductive season in
 the northern Gulf of Mexico. Despite large population differences in
 fitness when grown in a common garden setting, selection within
 populations on variation in relative growth rate prior to reproduction was
 similar. In both populations, colonies that grew faster early after
 settlement, hence were larger, did not consistently have higher fitness
 than colonies that grew slower after settlement. Instead, early juvenile
 growth was uncorrelated to later juvenile growth, and colonies that grew
 faster just prior to the onset of reproduction had higher fitness than
 colonies that grew slower during this time. Growth rates then declined
 with the onset of reproduction. Our results show that, rather than being a
 simple consequence of selection on body size, growth rate can directly
 affect variation in fitness in ways that are not directly attributable to
 juvenile size. Colony size and growth rate in modular animals are not
 always reliable surrogates for direct estimates of survival and
 reproduction, without identifying when and how growth affects fitness.
description: Figure 1 Make.R uses Figure 1 Data.csv. Figure
 2 Make.R uses Figure 2 Data.csv. Figure 1 Make.R and
 Figure 2 Make.R also contains code to reproduce quantities reported in the
 paper
DOI: 10.5281/zenodo.18396273
title: Pore-Bridging Hydrate Crystals Govern Seal Integrity in Static CO2 Hydrate Cap Formation

description: Raw experimental data.
DOI: 10.5281/zenodo.18396274
title: Pore-Bridging Hydrate Crystals Govern Seal Integrity in Static CO2 Hydrate Cap Formation

description: Raw experimental data.
DOI: 10.5061/dryad.np5hqbzrc
title: Fitness maps to a large-effect locus in introduced stickleback populations

description: Mutations of small effect underlie most adaptation to new environments,
 but beneficial variants with large fitness effects are expected to
 contribute under certain conditions. Genes and genomic regions having
 large effects on phenotypic differences between populations are known from
 numerous taxa, but fitness effect sizes have rarely been estimated. We
 mapped fitness over a generation in an F2 intercross between a marine and
 a lake stickleback population introduced to a freshwater pond. A QTL map
 of the number of surviving offspring per F2 female detected a single,
 large-effect locus near Ectodysplasin (Eda), a gene
 having an ancient freshwater allele causing reduced bony armor and other
 changes. F2 females homozygous for the freshwater allele had twice the
 number of surviving offspring as homozygotes for the marine allele,
 producing a large selection coefficient, s = 0.50 ± 0.09 SE.
 Correspondingly, the frequency of the freshwater allele increased from
 0.50 in F2 mothers to 0.58 in surviving offspring. We compare these
 results to observed allele frequency changes at
 the Eda gene in an Alaskan lake population colonized by
 marine stickleback in the 1980’s. The frequency of the
 freshwater Eda allele rose steadily over multiple
 generations and reached 95% within 20 years, yielding a similar estimate
 of selection, s = 0.49 ± 0.05. These findings are
 consistent with other studies suggesting strong selection on this gene
 (and/or linked genes) in fresh water. Selection on ancient genetic
 variants carried by colonizing ancestors is likely to increase the
 prevalence of large-effect fitness variants in adaptive evolution.
DOI: 10.25338/b85d1j
title: Data from: Habitat primarily structures seagrass epifaunal communities: a regional-scale assessment in the Chesapeake Bay

description: Epifaunal invertebrates play an important role in seagrass systems, both
 by grazing epiphytic algae from seagrass blades and by acting as a major
 food source for higher trophic levels. However, while many studies have
 described epifaunal community properties at small spatial scales (1
 – 10 m2) and across very large gradients (from continental
 coastlines to the entire globe), few have examined regional-scale (100 ­–
 1000 km2) patterns or, more importantly, disentangled the drivers of these
 patterns. Here, we synoptically sampled the epifaunal invertebrates of 16
 sites dominated by eelgrass (Zostera marina) across the lower Chesapeake
 Bay estuary to describe differences in epifaunal community abundance,
 biomass, richness, and composition. We then used complementary spatial and
 environmental data to identify potential drivers of these patterns. We
 found no significant associations between any variable and epifaunal
 abundance or biomass, but differences in epifaunal species richness
 correlated most strongly with water temperature, and differences in
 community composition were best explained by seagrass cover and the
 biomass of algal resources. Further exploration revealed the relationship
 between cover and community structure was driven by three specific species
 of peracarid crustaceans. Furthermore, when only species with direct
 development were included in the analysis, geographic distance, rather
 than seagrass cover, became a significant predictor of community
 composition, suggesting that species with particular traits (i.e., direct
 developers) are more likely to be found closer together in space.
description: Metadata and usage information is provided in the associated file
 "metadata.txt."
DOI: 10.5061/dryad.h44j0zpj1
title: Data from: Trait-environment relationships could alter the spatial and temporal characteristics of aquatic insect subsidies at the macrospatial scale

description: Ecological flows across ecosystem boundaries are typically studied at
 spatial scales that limit our understanding of broad geographical patterns
 in ecosystem linkages. Aquatic insects that metamorphose into terrestrial
 adults are important resource subsidies for terrestrial ecosystems. Traits
 related to their development and dispersal should determine their
 availability to terrestrial consumers. Here, we synthesize geospatial,
 aquatic biomonitoring and biological traits data to quantify the relative
 importance of several environmental gradients on the potential spatial and
 temporal characteristics of aquatic insect subsidies across the contiguous
 United States. We found the trait composition of benthic macroinvertebrate
 communities varies among hydrologic regions and could affect how aquatic
 insects transport subsidies as adults. Further, several trait-environment
 relationships were underpinned by hydrology. Large bodied taxa that could
 disperse further from the stream were associated with hydrologically
 stable conditions. Alternatively, hydrologically variable conditions were
 associated with multivoltine taxa that could extend the duration of
 subsidies with periodic emergence events throughout the year. We also
 found that anthropogenic impacts decrease the frequency of individuals
 with adult flight but potentially extend the distance subsidies travel
 into the terrestrial ecosystem. Collectively, these results suggest that
 natural and anthropogenic gradients could affect aquatic insect subsidies
 by changing the trait composition of benthic macroinvertebrate
 communities. The conceptual framework and trait-environment relationships
 we present shows promise for understanding broad geographical patterns in
 linkages between ecosystems.
DOI: 10.5061/dryad.x95x69pgx
title: Clinical and histopathological features of 81 cases of canine apocrine gland carcinoma of the anal sac

description: Canine apocrine gland anal sac adenocarcinoma (AGASAC) is a malignant
 tumour with variable clinical progression. The objective of this study was
 to use robust multivariate models, based on models employed in human
 medical oncology, to establish clinical and histopathological risk factors
 of poor survival. Clinical data and imaging of 81 cases with AGASAC were
 reviewed. Tissue was available for histological review and
 immunohistochemistry in 49 cases. Tumour and lymph node size were
 determined using the response evaluation criteria in solid tumours system
 (RECIST). Modelling revealed tumour size over 2 cm, lymph node size
 grouped in three tiers by the two thresholds 1.6 cm and 5 cm, surgical
 management, and radiotherapy were independent clinical variables
 associated with survival, irrespective of tumour stage. Tumour size over
 1.3 cm and presence of distant metastasis were independent clinical
 variables associated with first progression free interval. The presence of
 the histopathological variables of tumour necrosis, a solid histological
 pattern, and vascular invasion in the primary tumour were independent risk
 factors of poor survival. Based upon these independent risk factors,
 scoring algorithms to predict survival in AGASAC patients are presented.
description: Medical records from a single veterinary referral hospital, were
 searched for dogs diagnosed with apocrine gland adenocarcinoma of the anal
 sac. Clinical information was collected by retrospective review of medical
 and imaging records. Cases that had tissue blocks available, had
 histological review and Ki67 immunohistochemistry performed.
description: Missing values are indicated and are either due to that specific
 parameter not being recorded in the medical records, or, in the case of
 the immunohistochemistry technical issues preventing staining of those
 tissue blocks. Cases with first progression free interval (PFI) data had
 imaging examination or physical examination at the referral veterinary
 hospital to determine disease progression status.