cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5061/dryad.k98sf7m7x
title: Cumulative cultural evolution and mechanisms for cultural selection in wild bird songs

description: Cumulative cultural evolution, the accumulation of sequential changes
 within a single socially learned behaviour that results in improved
 function, is prominent in humans and has been documented in experimental
 studies of captive animals and managed wild populations. Here, we provide
 evidence that cumulative cultural evolution has occurred in the learned
 songs of Savannah sparrows. In a first step, “click trains” replaced “high
 note clusters” over a period of three decades. We use mathematical
 modeling to show that this replacement is consistent with the action of
 selection, rather than drift or frequency-dependent learning biases.
 Generations later, young birds elaborated the “click train” song form by
 adding more clicks. We show that the new songs with more clicks elicit
 stronger behavioural responses from both males and females. Therefore, we
 suggest that a combination of social learning, innovation, and sexual
 selection favoring a specific discrete trait was followed by directional
 sexual selection that resulted in naturally occurring cumulative cultural
 evolution in the songs of this wild animal population.
description: See the README file for more details. Two data
 files are associated with Williams et al., 2022: “Cumulative Cultural
 Evolution and Mechanisms for Cultural Selection in Wild Bird
 Songs”: - Williams et al NCOMMS 2022 data.xls
 - Song recordings.zip   The
 corresponding author’s email is hwilliams@williams.edu
 Data were collected between 1980 and 2013, on Kent Island, New
 Brunswick, Canada, the site of the Bowdoin College Scientific Station.
 Demographic data were collected by Nat Wheelwright of Bowdoin College and
 Ryan Norris of the University of Guelph and their associates.
 Kent Island Savannah sparrow (<em>Passerculus
 sandwichensis</em>) songs were recorded by several researchers: 
 Clara Dixon in 1980 and 1982; Nat Wheelwright and his associates in 1988-9
 and 1993-5; Iris Levin in 2003; Heather Williams in 2004-2010; Heather
 Williams and Daniel Mennill in 2010-2013. Most of these recordings (and
 nearly all of them from 1993 onwards) were of birds identified by unique
 color band combinations, and demographic data for these birds is
 known. Some additional data derive from recordings of
 birds singing on nearby islands and along the coast of the Bay of Fundy by
 Clara Dixon in 1980. Songs were visualized using sound
 spectrograms and introductory note types scored by H.W.
   For additional information, see the README
 file associated with this data set.
description: Williams et al NCOMMS 2022 data.xlsx is a standard excel
 file. Song recordings.zip
 is a compressed file that will, when decompressed, yield a folder with 21
 .WAV sound files. Any standard sound visualization program can read these
 files; for example, Audacity (www.audacity.com) is
 a free, open-source program that is available for both the PC and the Mac
 OS environments.
DOI: 10.5061/dryad.0rxwdbs32
title: Roosting behavior and roost selection by Epomophorus gambianus (Pteropodidae) in a west African rural landscape

description: Urbanization is driving many species to inhabit modified landscapes, but
 our understanding of how species respond to this remains limited. Bats are
 particularly vulnerable due to their life-history traits but have received
 little attention. We describe the roosting behavior and roost site
 selection, including maternity roosts, for the Gambian epauletted fruit
 bat (Epomophorus gambianus) within a modified forest-savannah transition
 ecological zone in Ghana, West Africa. We compared characteristics of
 roost and non-roost sites to test the hypotheses that roost site selection
 is non-random and that maternity roost site selection differs from
 non-maternity roosts. Male bats were more likely to switch roost (mean=
 0.49 ± 0.23 bat days, N=23) than females (mean= 0.33 ± 0.18 bat days, N=7)
 while linear distances between roosts used by males (255 ± 254 m) were
 significantly longer than for females (102 ± 71m) (t = 4.50, df =86, P
 &lt;0.0001). Roost trees were more likely than non-roost trees to be
 bigger, taller, occur closer to buildings, and be in relatively open and
 less mature plots; maintaining such trees in modified landscapes could
 benefit the species. Lactating bats selected a subset of roost trees but
 significantly, those that contained a greater number of bats, a strategy
 which may reflect predator avoidance, or other social co-operation
 benefits. Although there was a preference for five tree species, other
 trees with preferred characteristics were also used. Our findings
 contribute to the understanding of how species utilize modified
 landscapes, which is important in the management of biodiversity in the
 Anthropocene.
description: Roost and non-roost tree characteristics data, including maternal
 roosts for <em>Epomophorus gambianus.</em> 
 Tree height was measured using a Nikon® Forestry Pro laser
 rangefinder, DBH was measured at 1.4 m above the ground and crown diameter
 was measured as the longest on-the-ground extent across the crown of each
 tree using a tape measure. For measeurements of tree
 Density,  Basal Area, a 17.8 m radius circular buffer (ca 218 0.1-ha area)
 was delineated around each tree to create plots. For each plot, the total
 tree basal area "BA" (m<sup>2</sup>/ha) and the tree
 density "TD" (trees/ha) per plot were calculated using the
 "points in polygon" tool in QGIS. Distance to
 Building was measeured ast the shortest didtance to a building or
 structure (in meters).
description: Please email the corresponding author if you have questions.
DOI: 10.5061/dryad.7sqv9s4v6
title: Data from: Balanced spatial distribution of green areas creates healthier urban landscapes

description: The benefits of green infrastructure on human well-being in urban areas
 are already well established, with strong evidence of the positive effects
 of the amount and proximity to green areas. However, the understanding of
 how the spatial distribution and type of green areas affect health is
 still an open question. Here, we explore how different spatial
 configurations of green and built-up areas, through a land sharing and
 sparing framework, and how different types of green areas affect
 cardiovascular and respiratory hospitalizations in São Paulo city, Brazil.
 Sharing/sparing indicators were selected as the main explanatory factors
 in the control of all groups of diseases. Land sharing appeared as a
 favourable spatial condition to prevent cardiovascular hospitalization,
 while land sparing and arboreal vegetation were relevant to reduce
 hospitalization by lower respiratory diseases. For upper respiratory
 diseases, forests seem to provide a disservice, once they were associated
 with increased rates of hospitalization by respiratory allergies
 causes.Considering that hospitalization rates and severity of
 cardiovascular diseases are substantially higher than those of upper
 respiratory ones, dense vegetation tends to provide more services than
 disservices. The land sharing configuration, which is characterized by
 green areas spread throughout the urban network (in streets, gardens,
 small squares, or parks), should lead to higher exposure and use of the
 benefits of green areas, which may then explain the greater prevention of
 cardiovascular diseases. These novel results indicate that a more balanced
 distribution of green areas across built-up areas creates healthier urban
 spaces, and thus can be used as an urban planning strategy to leverage the
 health benefits provided by green infrastructure. Policy
 implications:  Aiming to reduce hospitalizations by
 cardiovascular and pulmonary causes, urban planning should promote the
 spreading of green areas across the cities, in order to increase daily
 contact with natural attributes, giving preference to distribution over
 total quantity of green in urban landscape.
DOI: 10.5061/dryad.0gb5mkm3k
title: Data for: Citizen science as an ecosystem of engagement: Implications for learning and broadening participation

description: The bulk of research on citizen science participants is project-centric,
 based on an assumption that volunteers experience a single project.
 Contrary to this assumption, survey responses (n=3,894) and digital trace
 data (n=3,649) from volunteers, who collectively engaged in 1,126 unique
 projects, revealed that multi-project participation was the norm. Only 23%
 of volunteers were singletons (who participated in only one project), and
 multi-project participants split evenly between disciplines specialists
 (39%) and discipline spanners (38% joined projects with different
 disciplinary topics), and unevenly between mode specialists (67%) and mode
 spanners (33% participated in online and offline projects). Public
 engagement was narrow: multi-project participants were eight times more
 likely to be white, and five times more likely to hold advanced degrees,
 than the general population. We propose a volunteer-centric framework that
 explores how the dynamic accumulation of experiences in a project
 ecosystem can support broad learning objectives and inclusive citizen
 science. 
description: The purpose of this project was to collect data about volunteers
 who do citizen science projects, particilarly the number and type of
 projects that these participants do, and what demographic communities
 these volunteers represent. There were four data sources: digital trace
 data from the website "SciStarter.org," a survey distributed to
 SciStarter volunteers, a survey distributed to volunteers with the project
 "The Christmas Bird Count" and volunteers with the project
 "Candid Critters." We used this data to create a list of citizen
 science projects, which we categorized according to disciplinary topic
 (ecology, astronomy, etc.) and participation mode (online or offline). We
 then categorized each volunteer in our data source according to how many
 projects they did, and whether the project(s) they did were from multiple
 disciplinary topics and modes. Finally, we used regression to assess what
 demographics and other factors predicted joining multiple projects,
 joining projects from multiple disciplines, and joining projects from
 multiple modes.
DOI: 10.5061/dryad.b2rbnzsj4
title: Phylogenetic characterization of a microsporidium (Nosema sp.HA) isolated from the mulberry pest, Hemerophila atrilineata

description: The research involved study of Lentil a nutritious and affordable
 historical plant. The research question was can the gene be classified
 according to the lentil and its relatives. The method involved using
 either phylogenetic or physiological characteristics of mesophilic
 bacteria isolated from a field-scale sludge composter were determined by
 16S rDNA and phenotype analysis. The research used 34 mesophilic isolates
 of 5 (15%), 16 (47%) and 3 (9%) displayed amylase, protease activity. The
 result showed the binding proteins were stored in multigenes. The
 development was a resistance to environmental conditions. It concluded the
 information was known regarding microbial inhabitants of the ecosystem. In
 the study the 16S-DGGE approach estimated bacterial species and showed
 changes in the environment.
DOI: 10.5061/dryad.d7wm37q3k
title: Data from: Simulated winter warming negatively impacts survival of Antarctica’s only endemic insect

description: Antarctic winters are challenging for terrestrial invertebrates, and
 species that live there have specialized adaptations to conserve energy
 and protect against cold injury in the winter. However, rapidly occurring
 climate change in these regions will increase the unpredictability of
 winter conditions, and there is currently a dearth of knowledge on how the
 highly adapted invertebrates of Antarctica will respond to changes in
 winter temperatures. We evaluated the response of larvae of the Antarctic
 midge, Belgica antarctica, to simulated winters at three ecologically
 relevant mean temperature scenarios: Warm (-1 °C), Normal (-3 °C) and Cold
 (-5 °C). Within each scenario, larvae were placed into three distinct
 habitat types in which they are commonly observed (decaying organic
 matter, living moss, and Prasiola crispa algae). Following the simulated
 overwintering period, a range of physiological outcomes were measured,
 namely survival, locomotor activity, tissue damage, energy store levels
 and molecular stress responses. Survival, energy stores and locomotor
 activity were significantly lower following the Warm overwintering
 environment than at lower temperatures, but tissue damage and heat shock
 protein expression (a proxy for protein damage) did not significantly
 differ between the three temperatures. Survival was also significantly
 lower in larvae overwintered in Prasiola crispa algae, although the
 underlying mechanism is unclear. Heat shock proteins were expressed least
 in larvae overwintering in living moss, suggesting it is less stressful to
 overwinter in this substrate, perhaps due to a more defined structure
 affording less direct contact with ice. Our results demonstrate that a
 realistic 2 °C increase in winter microhabitat temperature reduces
 survival and causes energy deficits that have implications for subsequent
 development and reproduction. While our Warm winter scenario was close to
 the range of observed overwintering temperatures for this species, warmer
 winters are expected to become more common in response to climate change.
 Conversely, if climate change reduces the length of winter, some of the
 negative consequences of winter warming may be attenuated, so it will be
 important to consider this factor in future studies. Nonetheless, our
 results indicate that winter warming could negatively impact cold-adapted
 insects like the Antarctic midge.
description: An excel
 spreadsheet of raw data used to generate the figures and analyses in our
 paper. Data are organized into tabs, with each tab containing the data for
 a single experiment.
DOI: 10.15468/dl.ax8rpc
title: Occurrence Download

description: A dataset containing 80620506 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Human Observation, Material sample, Specimen, Occurrence evidence, Living Specimen)",
 "Continent is Africa",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 80620506 records from 3326 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003100-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n2gxvz
title: Occurrence Download

description: A dataset containing 2715 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lonicera tatarica",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2715 records from 111 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049609-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26093/cds/vizier.36960205
title: Chemo-dynamic parameters of thin disc stars

description: VizieR online Data Catalogue associated with article published in journal Astronomy and Astrophysics with title ' Probing the origins. I. Generalised additive model inference of birth radii for Milky Way stars in the solar vicinity.' (bibcode: 2025A&A...696A.205D)
DOI: 10.71580/sano/56rdvo
title: DPValid collection – TKA: a dataset on adult subjects elected for total knee arthroplasty

description: The DPValid dataset consists of anonymised raw and processed data, including dynamometry measurements, surface electromyography data, and the reconstructed volumes of the thigh muscles (segmented on magnetic resonance images). The experimental data were collected on 20 elderly patients who were candidates for a total knee arthroplasty (TKA). For information on the folder structure, please refer to the README file and DPValid_TKA_Data_Structure image in the dataset.

The DPValid dataset is meant to serve as reference dataset for the biomechanics community, (clinical) researchers and practitioners interested in understanding the mechanisms underpinning the loss of muscle force (namely dynapenia). 

The dataset will be accessible to the community, through an incentive-based mechanism (give data to get data), better detailed in the README file, to promote the exchange of data within the community towards the generation of large shared data collections. For more details on the rule-based mechanism, please refer to the Licenses and terms section.
DOI: 10.26093/cds/vizier.36960028
title: TOI-238 and TOI-1685 light curves

description: VizieR online Data Catalogue associated with article published in journal Astronomy and Astrophysics with title ' Searching for hot water world candidates with CHEOPS. Refining the radii and analysing the internal structures and atmospheric lifetimes of TOI-238 b and TOI-1685 b.' (bibcode: 2025A&A...696A..28E)
DOI: 10.26093/cds/vizier.36970230
title: Gaia DR3 with eRASS1 detection CaII IRT

description: VizieR online Data Catalogue associated with article published in journal Astronomy and Astrophysics with title ' The stellar corona-chromosphere connection. A comprehensive study of X-ray and Ca II IRT fluxes from eROSITA and Gaia.' (bibcode: 2025A&A...697A.230F)
DOI: 10.15468/dl.hd6xup
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Rusa unicolor (Kerr, 1792))",
 "Country is one of (Algeria, Angola, Benin, Botswana, British Indian Ocean Territory, Burkina Faso, Burundi, Cabo Verde, Cameroon, Central African Republic, Chad, Comoros, Congo, Congo, Democratic Republic of the, Côte d’Ivoire, Djibouti, Egypt, Equatorial Guinea, Eritrea, Eswatini, Ethiopia, French Southern Territories, Gabon, Gambia, Ghana, Guinea, Guinea-Bissau, Kenya, Lesotho, Liberia, Libya, Madagascar, Malawi, Mali, Mauritania, Mauritius, Mayotte, Morocco, Mozambique, Namibia, Niger, Nigeria, Réunion, Rwanda, Saint Helena, Ascension and Tristan da Cunha, Sao Tome and Principe, Senegal, Seychelles, Sierra Leone, Somalia, South Africa, South Sudan, Sudan, Tanzania, United Republic of, Togo, Tunisia, Uganda, Western Sahara, Zambia, Zimbabwe)"
 ]
}

 The dataset includes 10 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016230-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15557770
title: Annex of D5.1

description: Extensive table with all the data about the hazards of susbtances assessed in ReLEAF D5.1
DOI: 10.5281/zenodo.15557771
title: Annex of D5.1

description: Extensive table with all the data about the hazards of susbtances assessed in ReLEAF D5.1
DOI: 10.5281/zenodo.15548957
title: Rapid Arctic Warming (RAW) dataset and results

description: Dataset_S01 is an Excel file that describes the RAW and PAGES2k datasets used in this analysis. It includes relevant metadata detailing the site location (latitude, longitude, and elevation), proxy type (archive, proxy type, and category used in this analysis), temporal characteristics (duration, resolution, and number of detected shifts), paleoclimate interpretation (seasonality and climate sensitivity), and references. These metadata are explained in detail in the ReadMe tab. 

The RAW dataset folder includes the LiPD files (RAW_LiPDwithAgeModels.zip), which contain the age ensembles generated for this analysis. A CSV file with additional metadata (RAW_metadata_revised.csv) is also included.

RAWcompositesArctic.RDS is an R data file that contains the composite reconstructions shown in Figure 2. Each reconstruction includes:



    the composite ensemble (time × number of ensemble members),

    a matrix of the mean proxy values for each record (age × number of proxy records),

    a matrix of the proxies used at each time step (age × number of proxy records),

    a LiPD timeseries object with the paleoclimate data, and

    a dataframe listing the proxies used for the composite, along with their metadata.


The cptResults folder contains the output of the change point detection analysis. The shiftsEventDetection files list each detected event, including its age and magnitude ("delta"), for each proxy record. The shiftsRAW and shiftsPAGES2k files summarize these results for each dataset, using the summary bin time step, and include significance testing of each record against the robust null hypothesis.

The Fig3_Data folder summarizes the site-specific results from the cptResults folder into a single time series (shown in Figure 3), using the multisite significance test described in the methods section. These files are saved as CSVs for easier viewing compared to the R data files in the cptResults folder. Each file includes columns for time, p-value, and confidence intervals. The net columns indicate whether the event is significant relative to the probability of any event occurring under the robust null hypothesis. The negative and positive columns indicate whether the event is significant relative to the probability of observing only a negative (cool) or positive (warm) shift, respectively.
DOI: 10.5281/zenodo.15548958
title: Rapid Arctic Warming (RAW) dataset and results

description: Dataset_S01 is an Excel file that describes the RAW and PAGES2k datasets used in this analysis. It includes relevant metadata detailing the site location (latitude, longitude, and elevation), proxy type (archive, proxy type, and category used in this analysis), temporal characteristics (duration, resolution, and number of detected shifts), paleoclimate interpretation (seasonality and climate sensitivity), and references. These metadata are explained in detail in the ReadMe tab. 

The RAW dataset folder includes the LiPD files (RAW_LiPDwithAgeModels.zip), which contain the age ensembles generated for this analysis. A CSV file with additional metadata (RAW_metadata_revised.csv) is also included.

RAWcompositesArctic.RDS is an R data file that contains the composite reconstructions shown in Figure 2. Each reconstruction includes:



    the composite ensemble (time × number of ensemble members),

    a matrix of the mean proxy values for each record (age × number of proxy records),

    a matrix of the proxies used at each time step (age × number of proxy records),

    a LiPD timeseries object with the paleoclimate data, and

    a dataframe listing the proxies used for the composite, along with their metadata.


The cptResults folder contains the output of the change point detection analysis. The shiftsEventDetection files list each detected event, including its age and magnitude ("delta"), for each proxy record. The shiftsRAW and shiftsPAGES2k files summarize these results for each dataset, using the summary bin time step, and include significance testing of each record against the robust null hypothesis.

The Fig3_Data folder summarizes the site-specific results from the cptResults folder into a single time series (shown in Figure 3), using the multisite significance test described in the methods section. These files are saved as CSVs for easier viewing compared to the R data files in the cptResults folder. Each file includes columns for time, p-value, and confidence intervals. The net columns indicate whether the event is significant relative to the probability of any event occurring under the robust null hypothesis. The negative and positive columns indicate whether the event is significant relative to the probability of observing only a negative (cool) or positive (warm) shift, respectively.