cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5061/dryad.hx3ffbg9m
title: Data from: Estimating population density of insectivorous bats based on stationary acoustic detectors: a case study

description: 1. Automated recording units are commonly used by consultants to assess
 environmental impacts and to monitor animal populations. Although
 estimating population density of bats using stationary acoustic detectors
 is key for evaluating environmental impacts, estimating densities from
 call activity data is only possible through recently developed numerical
 methods, as the recognition of calling individuals is impossible. 2. We
 tested the applicability of generalized random encounter models (gREMs)
 for determining population densities of three bat species (Common
 pipistrelle Pipistrellus pipistrellus, Northern bat Eptesicus nilssonii,,
 and Natterer’s bat Myotis nattereri) based on passively collected
 acoustical data. To validate the results, we compared them to (i) density
 estimates from the literature and to (ii) Royle-Nichols (RN) models of
 detection/non-detection data. 3. Our estimates for M. nattereri matched
 both the published data and RN-model results. For E. nilssonii, the gREM
 yielded similar estimates to the RN-models, but the published estimates
 were more than twice as high. This discrepancy might be because the
 high-altitude flight of E. nilssonii is not accounted for in gREMs.
 Results of gREMs for P. pipistrellus were supported by published data but
 were approximately 10 times higher than those of RN-models. RN-models use
 detection/non-detection data and this loss of information probably
 affected population estimates of very active species like P. pipistrellus.
 4. gREM models provided realistic estimates of bat population densities
 based on automatically recorded call activity data. However, the average
 flight altitude of species should be accounted for in future analyses. We
 suggest including flight altitude in the calculation of the detection
 range to assess the detection sphere more accurately and to obtain more
 precise density estimates.
description: Bat calls were recorded using automatic recording units (file
 bats_harz.csv). They were analyzed using bcAdmin, bcAnalyze, and batIdent.
 The habitatparameters (habitatparameters.csv) were collected in field
 surveys and using ArcGIS. Description of variables
 (bats_harz.csv): sunset, sunrise, species (automatically identified
 species or Operational Taxonomic Unit (OTU) using batIdent), recordingTime
 (time when the sequence was recorded), filename (ID of the recorded file),
 speciesVerified (manually verified species), site (ID of sample
 point). For the description of variables
 (habitatparameters.csv) we refer to Appendix S1 of Milchram et al.
 (2019).
DOI: 10.48331/scielodata.xlfelz/0hpg8m
title: Table_S1.tab

description: Table S1 presents the mean (± standard deviation) of body mass and small intestine segment masses (g) for the animals in the experimental groups.
DOI: 10.48331/scielodata.xlfelz/0lqap2
title: Figure_S1.jpg

description: Figure S1 presents the quantification of congested vessels in the dental pulp of the tooth in which the ligature was installed.
DOI: 10.5061/dryad.5dv41ns2s
title: Camera transects as a method to monitor high temporal and spatial ephemerality of flying nocturnal insects

description: 1. The current global decline of insects will have profound cascading
 effects as insects serve numerous roles in ecosystems. Effective but
 simple methods are needed to describe spatial and temporal distribution of
 flying insects in detail. This applies especially to important but
 short-lived phenomena such as insect swarms. 2. We developed, tested and
 implemented a non-invasive unbiased method with camera transects to
 measure spatio-temporal fluctuations in the abundance of nocturnal flying
 insects in different habitats. To test the sensitivity of the method we
 then tested for the influence of environmental factors on this abundance.
 3. Our results show that the method is useful for the temporal and spatial
 comparison of insect abundances. Astonishingly, over 90% of the 63180
 photos lacked insects. We found profound differences in insect abundance
 and dynamic changes between the studied habitats. Photos with large
 numbers of insects were rare, but occurred predominantly during the
 warmest period (June/July) and shortly after sunset. 4. Our findings
 emphasize the importance of quantifying the dynamics of flying insects at
 a high spatio-temporal resolution. This method can be expanded to monitor
 long- and short-term changes in nocturnal insect abundance even at
 continental scales. With proper development, the camera transects we
 describe could be used for insect monitoring similar to the way camera
 traps are used to monitor terrestrial vertebrate populations, and could
 become an important tool for addressing the current mass disappearances of
 insects.
DOI: 10.48331/scielodata.xlfelz/hmsphh
title: Table_S2.tab

description: Table S2 presents the complete bivariate correlation analysis between the variables.
DOI: 10.48331/scielodata.xlfelz/o0mvin
title: README.txt
DOI: 10.5061/dryad.cc2fqz62v
title: Gentoo penguins (Pygoscelis papua) react to underwater sounds

description: Marine mammals and diving birds face several physiological challenges
 under water, affecting their thermoregulation and locomotion as well as
 their sensory systems. Therefore, marine mammals have modified ears for
 improved underwater hearing. Underwater hearing in marine birds have been
 studied in a few species, but for the record-holding divers, such as
 penguins, there are no detailed data. We played underwater noise bursts to
 gentoo penguins (Pygoscelis papua) in a large tank at sound pressure
 levels between 100 and 120 dB re 1 µPa rms. The penguins showed a graded
 reaction to the noise bursts, ranging from no reactions at 100 dB to
 strong reactions in more than 62% of the playbacks at 120 dB re 1 µPa. The
 responses were always directed away from the sound source. The fact that
 penguins can detect and react to underwater stimuli may indicate that they
 make use of sound stimuli for orientation and prey detection during dives.
 Further, it suggests that penguins may be sensitive to anthropogenic
 noise, like many species of marine mammals.
DOI: 10.48331/scielodata.xlfelz
title: Supplementary Material for: Effects of highly leukotoxic Aggregatibacter actinomycetemcomitans associated with ligature-induced periodontitis on oral and gut tissues in male rats

description: This study evaluates the effects of gastric administration of the highly leukotoxic Aggregatibacter actinomycetemcomitans JP2 strain (AaJP2), both with and without ligature-induced periodontitis, on periodontal and small intestinal tissues using an in vivo animal model comprising 40 male Wistar rats (8 weeks old) assigned to four experimental groups (n=10/group) over a 42-day period: a control group (CG) receiving phosphate-buffered saline (PBS) gavage only; a periodontitis group (PG) with ligature-induced periodontitis and PBS gavage; a combined periodontitis and AaJP2 group (PAaG) with both interventions; and an AaJP2-only group (AaG). Periodontitis was induced through cotton ligatures placed around the cervical region of lower first molars bilaterally and maintained throughout the experimental period, while the A. actinomycetemcomitans JP2 strain (HK921) at a concentration of 1×10⁹ CFU/mL in PBS was administered twice weekly via gastric gavage (200 µL) for 6 weeks. Comprehensive morphological and histological analyses were performed, including stereomicroscopic quantification of alveolar bone loss; micro-computed tomography (µ-CT) assessment of bone volume density (%BV/TV), total bone porosity ratio, and trabecular thickness; and histopathological evaluation of inflammatory infiltrate scoring, vascular congestion quantification, and goblet cell density in small intestine segments (duodenum, jejunum, ileum), with measurements of villus height and width. Statistical analysis employed the Kolmogorov-Smirnov test for normality assessment, Kruskal-Wallis and Mann-Whitney U tests for intergroup comparisons, chi-square test for categorical variables, Wilcoxon signed-rank test for weight gain analysis, and Spearman's rank correlation coefficient for correlation studies, with significance set at p&lt;0.05 using SPSS version 22.0.
description: The uploaded file contains Supplementary Material/Data for the Results section.
DOI: 10.5061/dryad.0rxwdbrvn
title: The role of common ancestry and gene flow in the evolution of human-directed play behavior in dogs

description: Among-population variance of phenotypic traits is of high relevance for
 understanding evolutionary mechanisms that operate in relatively short
 timescales, but various sources of non-independence, such as common
 ancestry and gene flow can hamper the interpretations. In this comparative
 analysis of 138 dog breeds, we demonstrate how such confounders can
 independently shape the evolution of a behavioral trait (human-directed
 play behavior from the Dog Mentality Assessment project). We combined
 information on genetic relatedness and haplotype sharing to reflect common
 ancestry and gene flow, respectively, and entered these into a
 phylogenetic mixed model to partition the among-breed variance of
 human-directed play behavior while also accounting for within-breed
 variance. We found that 75% of the among-breed variance was explained by
 overall genetic relatedness among breeds, while 15% could be attributed to
 haplotype sharing that arises from gene flow. Therefore, most of the
 differences in human-directed play behavior among breeds have likely been
 caused by constraints of common ancestry as a likely consequence of past
 selection regimes. On the other hand, gene flow caused by crosses among
 breeds has played a minor, but not negligible role. Our study serves as an
 example of an analytical approach that can be applied to comparative
 situations where the effects of shared origin and gene flow require
 quantification and appropriate statistical control in a
 within-species/among-population framework. Altogether, our results suggest
 that the evolutionary history of dog breeds have left remarkable
 signatures on the among-breed variation of a behavioral phenotype.
DOI: 10.5061/dryad.6m905qfw2
title: Artificial light at night erases positive interactions across trophic levels

description: 1. Artificial light at night (ALAN) is one of the most recently recognized
 sources of anthropogenic disturbance, with potentially severe effects on
 biological systems that are still to be fully explored. Among marine
 ecosystems, high shore habitats are those more likely to be impacted by
 ALAN, due to a more intense exposition to outdoor nocturnal lightings
 (mostly from lamps along coastal streets and promenades, or within
 harbors, ports and marinas). 2. By performing in situ nocturnal
 manipulations of a direct source of white LED light and presence of
 herbivores in a Mediterranean high-shore habitat, we assessed the
 interactive effects of light pollution and grazing on two key functional
 components of the epilithic microbial community (the cyanobacteria, as the
 main photoautotrophic component, and the other bacteria, mainly dominated
 by heterotrophs) developing on rocky shores. 3. Results showed an
 unexpected increase in the diversity of epilithic bacterial biofilm at
 unlit sites in the presence of grazers, that was more evident on the other
 (mainly heterotrophic) bacterial component, when giving weight to more
 abundant families. This effect was likely related to the mechanical
 removal of dead cells through the grazing activity of consumers. ALAN
 significantly modified this scenario, by reducing the density of grazers
 and thus erasing their effects on bacteria, and by increasing the
 diversity of more abundant cyanobacterial families. 4. Overall, direct and
 indirect effects on ALAN resulted in a significant increase in the
 diversity of the photoautotrophic component and a decrease in the
 heterotrophic one, likely affecting key ecosystem functions acting on
 rocky shore habitats. 5. ALAN may represent a threat for natural systems
 through the annihilation of positive interactions across trophic levels,
 potentially impairing the relationship between biodiversity and
 functioning of ecosystems and interacting with other global and local
 stressors currently impinging on coastal areas.
DOI: 10.5281/zenodo.18393092
title: Dataset "The Influence of Companies' Environmental Sustainability Measures on Employees' Individual Sustainable Behavior" (LMTLT S-PD-24-68)

description:  

Description

This data set contains survey responses of two studies conducted for the project "The Influence of Companies' Environmental Sustainability Measures on Employees' Individual Sustainable Behavior" (LMTLT S-PD-24-68)

Description of the dataThe dataset includes measurements collected by using a questionnaire and surveying employed individuals. No sensitive or personal data was collected. The survey was anonymous. Informed consent was obtained from all individual participants. The respondent had the right to refuse to participate in the research at any time without any negative consequences. 

Data includes the following measurements (measured in Likert scales):

environmentally sustainable individual behavior, environmentally sustainable employee behavior, pro-environmental behaviors at home and at work, individual sustainability-related mindset and sustainability ownership, perceived organizational sustainability-oriented purpose, perceived corporate environmentally sustainable activities, exposure to corporate environmental sustainability measures. 

Some of the responses include second-wave survey data after organizational treatments. 

Although these questions were not mandatory, some responses includes age, gender, education, household income, marital status, and organizational measures, such as management, department designation, organizational tenure, country.

Data are provided in XLSX format, containing structured columns - items measured in the survey, and rows - responses measured in Likert scale. 

Files included- `combined dataset_reg.xlsx` - data set.- `Survey_Employee_SustainableBehavior_reg.pdf - detailed documentation on the measurements and scales.

Acknowledgements

This project has received funding from the Research Council of Lithuania (LMTLT), agreement No S-PD-24-68.

The author would like to acknowledge and thank Dr. Svenja Damberg and Hamburg University of Technology students Shreyas Kamath and Someshwara Ravi for their contributions in measurement development, and data collection activities, respectively.

Embargo

The data are currently under embargo and will be publicly released upon publication of the associated papers. Access to the dataset prior to this is restricted.
DOI: 10.5061/dryad.0vt4b8gv2
title: A practical introduction to sequentially Markovian coalescent methods for estimating demographic history from genomic data

description: A common goal of population genomics and molecular ecology is to
 reconstruct the demographic history of a species of interest. A pair of
 powerful tools based on the sequentially Markovian coalescent have been
 developed to infer past population sizes using genome sequences. These
 methods are most useful when sequences are available for only a limited
 number of genomes and when the aim is to study ancient demographic events.
 The results of these analyses can be difficult to interpret accurately,
 because doing so requires some understanding of their theoretical basis
 and of their sensitivity to confounding factors. In this practical review,
 we explain some of the key concepts underpinning the pairwise and multiple
 sequentially Markovian coalescent methods (PSMC and MSMC, respectively).
 We relate these concepts to the use and interpretation of these methods,
 and we explain how the choice of different parameter values by the user
 can affect the accuracy and precision of the inferences. Based on our
 survey of 100 PSMC studies and 30 MSMC studies, we describe how the two
 methods are used in practice. Readers of this article will become familiar
 with the principles, practice, and interpretation of the sequentially
 Markovian coalescent for inferring demographic history.
DOI: 10.5281/zenodo.18393091
title: Dataset "The Influence of Companies' Environmental Sustainability Measures on Employees' Individual Sustainable Behavior" (LMTLT S-PD-24-68)

description:  

Description

This data set contains survey responses of two studies conducted for the project "The Influence of Companies' Environmental Sustainability Measures on Employees' Individual Sustainable Behavior" (LMTLT S-PD-24-68)

Description of the dataThe dataset includes measurements collected by using a questionnaire and surveying employed individuals. No sensitive or personal data was collected. The survey was anonymous. Informed consent was obtained from all individual participants. The respondent had the right to refuse to participate in the research at any time without any negative consequences. 

Data includes the following measurements (measured in Likert scales):

environmentally sustainable individual behavior, environmentally sustainable employee behavior, pro-environmental behaviors at home and at work, individual sustainability-related mindset and sustainability ownership, perceived organizational sustainability-oriented purpose, perceived corporate environmentally sustainable activities, exposure to corporate environmental sustainability measures. 

Some of the responses include second-wave survey data after organizational treatments. 

Although these questions were not mandatory, some responses includes age, gender, education, household income, marital status, and organizational measures, such as management, department designation, organizational tenure, country.

Data are provided in XLSX format, containing structured columns - items measured in the survey, and rows - responses measured in Likert scale. 

Files included- `combined dataset_reg.xlsx` - data set.- `Survey_Employee_SustainableBehavior_reg.pdf - detailed documentation on the measurements and scales.

Acknowledgements

This project has received funding from the Research Council of Lithuania (LMTLT), agreement No S-PD-24-68.

The author would like to acknowledge and thank Dr. Svenja Damberg and Hamburg University of Technology students Shreyas Kamath and Someshwara Ravi for their contributions in measurement development, and data collection activities, respectively.

Embargo

The data are currently under embargo and will be publicly released upon publication of the associated papers. Access to the dataset prior to this is restricted.
DOI: 10.6084/m9.figshare.26964925
title: Data and code.zip

description: Semantic Structured Modeling and Automated Visualization of Spatiotemporal Evolutionary Events in Historical Geography
DOI: 10.6084/m9.figshare.26964925.v1
title: Data and code.zip

description: Semantic Structured Modeling and Automated Visualization of Spatiotemporal Evolutionary Events in Historical Geography
DOI: 10.6084/m9.figshare.26964925.v2
title: Data and code.zip

description: Semantic Structured Modeling and Automated Visualization of Spatiotemporal Evolutionary Events in Historical Geography
DOI: 10.5281/zenodo.15474352
title: Parameter retrieval results for ISWs
DOI: 10.5281/zenodo.15474353
title: Parameter retrieval results for ISWs
DOI: 10.15468/dl.sj8ufg
title: Occurrence Download

description: A dataset containing 428 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Allium amplectens Torr.",
 "Year is less than or equal to 2000",
 "Year is greater than or equal to 1970",
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 1000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 428 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010718-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6e45cu
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bathytroctes microlepis Günther, 1878",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((9.2698 2.0276,9.1702 1.8496,17.9648 1.8496,17.9648 10.8496,8.9648 10.8496,8.9648 2.8113,8.9984 2.8234,9.2654 3.2175,9.4253 3.0783,9.2698 2.0276))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010719-250525065834625/datasets/export for details.
DOI: 10.15468/dl.srthmj
title: Occurrence Download

description: A dataset containing 86 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lonicera periclymenum",
 "Country is Czechia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 86 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049500-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.82261/7k6z-ff17
title: Corpus of the Inscriptions of Campā
title: CIC
DOI: 10.5281/zenodo.16961160
title: Interglacial CO2 outgassing from the North Pacific preceding Southern Ocean since the Mid-Brunhes Event
DOI: 10.15468/dl.umd5zb
title: Occurrence Download

description: A dataset containing 359 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry MULTIPOLYGON(((0.37203 47.67643,0.37457 47.67235,0.37707 47.67169,0.37752 47.67008,0.37499 47.66891,0.37506 47.66386,0.37352 47.66346,0.37969 47.65718,0.38086 47.64858,0.37931 47.64683,0.38206 47.64376,0.38946 47.64085,0.4058 47.64235,0.41582 47.64022,0.41835 47.63683,0.42028 47.63837,0.42352 47.64867,0.42722 47.65153,0.42486 47.65334,0.42275 47.65995,0.41672 47.66554,0.40441 47.66436,0.397 47.66908,0.39145 47.67529,0.38137 47.6775,0.37203 47.67643)))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 2010-2025"
 ]
}

 The dataset includes 359 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007907-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pd59md
title: Occurrence Download

description: A dataset containing 5928 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sarda sarda"
 ]
}

 The dataset includes 5928 records from 131 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007905-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.