cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5061/dryad.8kprr4xqk
title: A new genus of treeshrew and other micromammals from the middle Miocene hominoid locality of Ramnagar, Udhampur District, Jammu & Kashmir, India

description: The fossil record of treeshrews, hedgehogs, and other micromammals from
 the Lower Siwaliks of India is sparse. Here, we report on a new genus and
 species of fossil treeshrew, specimens of the hedgehog Galerix, and other
 micromammals from the middle Miocene (Lower Siwalik) deposits surrounding
 Ramnagar (Udhampur District, Jammu & Kashmir), at a fossil
 locality known as Dehari. The treeshrew from Dehari (Sivatupaia
 ramnagarensis gen. nov. et sp. nov.) currently represents the
 oldest record of fossil tupaiids in the Siwaliks, extending their time
 range by ~2.5-4.0 million years in the region. Dietary analyses suggest
 that the new tupaiid was likely adapted for a less mechanically
 challenging or more frugivorous diet compared to other extant and fossil
 tupaiids. The occurrence of Galerix has only been recently documented from
 the Indian Siwaliks and the Dehari specimens help establish the likely
 presence of a relatively large Siwalik Galerix species in the Ramnagar
 region. In addition to the new treeshrew and hedgehogs, new specimens of
 the rodents Kanisamys indicus, Sayimys sivalensis, and Murinae indet. from
 Dehari help confirm age estimates for the Ramnagar region equivalent to
 the Chinji Formation in Pakistan, most likely corresponding to the middle
 to upper part of the Chinji Formation.
description: SI Dataset 1. Generalized Procrustes Analysis data of
 treeshrews. SI Figure S1. Plot of M2 shape vs. M2 size
 in <em>G. rutlandae</em> (Black dots), <em>G.
 wesselsae</em> (Blue squares), <em>Galerix</em> sp.
 indet. from Potwar locality Y709 (Purple cross), and
 <em>Galerix</em> sp. indet. from Kulwanta locality K2,
 Ramnagar, India (Red star). SI Table S1. List of
 specimens included in the analyses and results of the topographic analysis
 for Dirichlet normal energy (DNE), three-dimensional orientation patch
 count rotated (3D-OPCR), and relief index (RFI). SI
 Table S2. Comparative dental measurements in mm of <em>Galerix
 rutlandae</em> and <em>Galerix wesselsae</em> M2s from
 Pakistan and India. SI Table S3. Comparative dental
 measurements (mm) of WIMF/A 4696, WIMF/A 4693, and WIMF/A 4692 and
 previously described Lower Siwalik fossil murines.
DOI: 10.5281/zenodo.17951426
title: Database experimental data (dataset 3B of 4) "Visualization and quantification of gas-liquid mass transfer in a sparger flow using a wire-mesh sensor", dataset 3B of 4, co2 series

description: ## DATABASE EXPERIMENTAL DATA (DATASET 3 OF 4) "VISUALIZATION AND QUANTIFICATION OF GAS-LIQUID MASS TRANSFER IN A SPARGER FLOW USING A WIRE-MESH SENSOR", DATASET 3B OF 4, CO2 SERIESReference Open-Access journal publication: Alvaro Ramos Perez, Terttaliisa Lind, Victor Petrov, Annalisa Manera, Horst-Michael Prasser, Visualization and quantification of gas–liquid mass transfer in a sparger flow using a wire-mesh sensor, Chemical Engineering Science, Volume 320, Part A, 2026, 122360, ISSN 0009-2509, doi:10.1016/j.ces.2025.122360.

## THIS DATA CORRESPONDS TO THE DATASET 3B OF 4, CO2 SERIES. THE ENTIRE DATASET LIST OF THE PUBLICATION IS:-DATASET 1 OF 4, CALIBRATION SERIES-DATASET 2 OF 4, TRACER SERIES-DATASET 3A+3B OF 4, CO2 SERIES-DATASET 4 OF 4, AIR SERIES

## WMS DATA"README_WMS.txt": Description of data matrix "WMS.csv" and data format "WMS.zip"
DOI: 10.5281/zenodo.17951427
title: Database experimental data (dataset 3B of 4) "Visualization and quantification of gas-liquid mass transfer in a sparger flow using a wire-mesh sensor", dataset 3B of 4, co2 series

description: ## DATABASE EXPERIMENTAL DATA (DATASET 3 OF 4) "VISUALIZATION AND QUANTIFICATION OF GAS-LIQUID MASS TRANSFER IN A SPARGER FLOW USING A WIRE-MESH SENSOR", DATASET 3B OF 4, CO2 SERIESReference Open-Access journal publication: Alvaro Ramos Perez, Terttaliisa Lind, Victor Petrov, Annalisa Manera, Horst-Michael Prasser, Visualization and quantification of gas–liquid mass transfer in a sparger flow using a wire-mesh sensor, Chemical Engineering Science, Volume 320, Part A, 2026, 122360, ISSN 0009-2509, doi:10.1016/j.ces.2025.122360.

## THIS DATA CORRESPONDS TO THE DATASET 3B OF 4, CO2 SERIES. THE ENTIRE DATASET LIST OF THE PUBLICATION IS:-DATASET 1 OF 4, CALIBRATION SERIES-DATASET 2 OF 4, TRACER SERIES-DATASET 3A+3B OF 4, CO2 SERIES-DATASET 4 OF 4, AIR SERIES

## WMS DATA"README_WMS.txt": Description of data matrix "WMS.csv" and data format "WMS.zip"
DOI: 10.5061/dryad.0cfxpnw4p
title: Extensive polyploid clonality was a successful strategy for seagrass to expand into a newly submerged environment

description: Polyploidy has the potential to allow organisms to outcompete their
 diploid progenitor(s) and occupy new environments. Shark Bay, Western
 Australia, is a World Heritage Area dominated by temperate seagrass
 meadows including Poseidon’s ribbon weed, Posidonia australis. This
 seagrass is at the northern extent of its natural geographic range and
 experiences extreme temperatures and salinities. Our genomic and
 cytogenetic assessments of ten meadows identified geographically
 restricted, diploid clones (2n = 20) in a single location, and widespread,
 high heterozygosity, polyploid clones (2n = 40) in all other locations. A
 single polyploid clone spanned at least 180 km, making it the largest
 known example of a clone in any environment on earth. Whole genome
 duplication through polyploidy, combined with clonality, may have provided
 the mechanism for P. australis to expand into new habitats and adapt to
 new environments that became increasingly stressful for its diploid
 progenitor(s). The new polyploid clones likely formed in the shallow
 waters after inundation of Shark Bay &lt; 8,500 years ago and
 subsequently expanded via vegetative growth into newly submerged habitats.
description: A de novo ddRAD loci assembly and identification of Single
 Nucleotide Polymorphisms (SNPs) was performed using the denovo_map
 pipeline in STACKS v2.52. A minimum distance of three nucleotides was used
 to identify a stack (-m), a maximum of three nucleotides was permitted
 between stacks (-M) and a maximum of three mismatches were permitted
 between loci of different individuals during catalogue
 construction.
DOI: 10.5061/dryad.qz612jmhh
title: Keels of boxfish carapaces strongly improve stabilisation against roll

description: Boxfish (Ostraciidae) have peculiar body shapes with conspicuous keels
 formed by their bony carapace. Previous studies have proposed various
 hydrodynamic roles for these keels including: reducing drag during
 swimming, contributing to passive stabilisation of the swimming course, or
 providing resistance against roll rotations. Here, we tested these
 hypotheses using computational fluid dynamics simulations of five species
 of Ostraciidae with a range of carapace shapes. The hydrodynamic
 performance of the original carapace surface models, obtained from laser
 scanning of museum specimens, were compared with models in which the keels
 were digitally reduced. The original carapaces showed no reduced drag or
 increased passive stability against pitch and yaw compared to the
 reduced-keel models. However, consistently for all studied species, a
 strong increase in roll drag and added mass was observed as a result of
 the presence of keels, despite the relatively small reductions in keel
 height. Especially the damping of roll by resistive drag torques increased
 considerably. Our results suggest that the shape of the boxfish carapace
 is important to enable the observed roll-free forward swimming of boxfish,
 and that it may facilitate the control of maneuvers.
description: ANSYS Workbench 19.1 simulation output.
DOI: 10.5061/dryad.8sf7m0cqw
title: Development and validation of an eDNA protocol for monitoring endemic Asian Spiny Frogs in the Himalayan region of Pakistan

description: Wildlife monitoring programs are instrumental for the assessment of
 species, habitat status, and for the management of factors affecting them.
 This is particularly important for species found in freshwater ecosystems,
 such as amphibians, as they have higher estimated extinction rates than
 terrestrial species. We developed and validated two species-specific
 environmental DNA (eDNA) protocols and applied them in the field to detect
 the Hazara Torrent Frog (Allopaa hazarensis) and Murree Hills Frog
 (Nanorana vicina). Additionally, we compared eDNA surveys with visual
 encounter surveys and estimated site occupancy. eDNA surveys resulted in
 higher occurrence probabilities for both A. hazarensis and N. vicina than
 for visual encounter surveys. Detection probability using eDNA was greater
 for both species, particularly for A. hazarensis. The top-ranked detection
 model for visual encounter surveys included effects of both year and
 temperature on both species, and the top-ranked occupancy model included
 effects of elevation and year. The top-ranked detection model for eDNA
 data was the null model, and the top-ranked occupancy model included
 effects of elevation, year, and wetland type. To our knowledge, this is
 the first time an eDNA survey has been used to monitor amphibian species
 in the Himalayan region.
DOI: 10.5061/dryad.547d7wmb7
title: Raw data for the samples collected from Hole B of the ICDP DSeis project at the Moab Khotsong Gold Mine in South Africa

description: This data set is corresponding to the Miyamoto, T. et al. “Characteristics
 of Seismogenic Fault Rock Related to the 2014 Orkney Earthquake (M5.5)
 Beneath the Moab Khotsong Gold Mine, South Africa” Geophysical Research
 Letters, 2022. This data set shows physical property, magnetic
 susceptibility, mineral assemblage, and element composition of all Hole B
 subsamples, and frictional properties of 5 Hole B subsamples.
DOI: 10.5061/dryad.51c59zwb0
title: Automatic taxonomic identification based on the Fossil Image Dataset (&gt;415,000 images) and deep convolutional neural networks

description: The rapid and accurate taxonomic identification of fossils is of great
 significance in paleontology, biostratigraphy, and other fields. However,
 taxonomic identification is often labor-intensive and tedious, and the
 requisition of extensive prior knowledge about a taxonomic group also
 requires long-term training. Moreover, identification results are often
 inconsistent across researchers and communities. Accordingly, in this
 study, we used deep learning to support taxonomic identification. We used
 web crawlers to collect the Fossil Image Dataset (FID) via the Internet,
 obtaining 415,339 images belonging to 50 fossil clades. Then we trained
 three powerful convolutional neural networks on a high-performance
 workstation. The Inception ResNet v2 architecture achieved an average
 accuracy of 0.90 in the test dataset when transfer learning was applied.
 The clades of microfossils and vertebrate fossils exhibited the highest
 identification accuracies of 0.95 and 0.90, respectively. In contrast,
 clades of sponges, bryozoans, and trace fossils with various morphologies
 or with few samples in the dataset exhibited a performance below 0.80.
 Visual explanation methods further highlighted the discrepancies among
 different fossil clades and suggested similarities between the
 identifications made by machine classifiers and taxonomists. Collecting
 large paleontological datasets from various sources, such as the
 literature, digitization of dark data, citizen-science data, and public
 data from the Internet may further enhance deep learning methods and their
 adoption. Such developments will also possibly lead to image-based
 systematic taxonomy to be replaced by machine-aided classification in the
 future. Pioneering studies can include microfossils and some invertebrate
 fossils. To contribute to this development, we deployed our model on a
 server for public access at www.ai-fossil.com.
DOI: 10.5061/dryad.vt4b8gttz
title: A representative gel of ALAD following a restriction fragment length digestion

description: Background: Rapid industrialization, urbanization, and population
 explosion in sub-Saharan Africa escalate environmental lead levels and
 subsequently blood lead levels in children. Its levels in one’s
 environment account for his/her blood lead levels. One’s susceptibility to
 lead toxicity is governed by his/her nutrition status, age and genetics.
 This study aimed at expounding susceptibility to lead toxicity by relating
 blood lead levels, delta-aminolevulinic acid dehydratase (ALAD) enzyme
 activity, and genetic variations of proteins that code for ALAD in urban
 children of Uganda. Methods: A total of 198 blood samples were
 spectrophotometrically analyzed for blood lead levels (BLL), hemoglobin
 (Hb) levels, and ALAD enzyme activity before DNA extraction, polymerase
 chain reaction, and restriction fragment length digestion for ALAD
 polymorphism.  Results: Up to 99.5% of the total samples
 analysed coded for ALAD1 allele compared to 0.05% that coded for ALAD2.
 There was a significant relationship between BLL, Hb status and ALAD
 enzyme activity in the three isozymes (ALAD1-1, ALAD1-2 and ALAD2-2) in
 strength of ALAD1-1 (r = 0.42, p-value = 0.02) ˂ALAD1-2 (r = 0.62, p-value
 = ˂0.001) ˂ ALAD2-2 (r = 0.67, p-value = ˂0.001). Conclusions: The
 majority of children in Uganda code for the ALAD1 allele, which
 is important for blood lead ions hoarding during lead toxicity. Hoarding
 of blood lead not only delays exposure effects but also accumulates its
 levels in deposit tissues and this poses adverse effects later in their
 lives.
description: The data set was obtained from blood samples collected from
 children living in a Lead polluted urban setting, the DNA was extracted
 from all samples prior to a restriction fragment length
 digestion.
DOI: 10.5061/dryad.jh9w0vtdf
title: Camera traps and guard observations as an alternative to researcher observation for studying anthropogenic foraging

description: Foraging by wildlife on anthropogenic foods can have negative impacts on
 both humans and wildlife. Addressing this issue requires reliable data on
 the patterns of anthropogenic foraging by wild animals, but while direct
 observation by researchers can be highly accurate, this method is also
 costly and labour-intensive, making it impractical in the long- term or
 over large spatial areas. Camera traps and observations by guards employed
 to deter animals from fields could be efficient alternative methods of
 data collection for understanding patterns of foraging by wildlife in crop
 fields. Here we investigated how data on crop-foraging by chacma baboons
 and vervet monkeys collected by camera traps and crop guards predicted
 data collected by researchers, on a commercial farm in South Africa. We
 found that data from camera traps and field guard observations predicted
 crop loss and the frequency of crop-foraging events from researcher
 observations for crop-foraging by baboons and to a lesser extent for
 vervets. The effectiveness of cameras at capturing crop-foraging events
 was dependent on their position on the field edge. We believe that these
 alternatives to direct observation by researchers represent an efficient
 and low-cost method for long-term and large-scale monitoring of foraging
 by wildlife on crops. 
description: Data on the timing and impact of crop-foraging by chacma baboons
 and vervet monkeys on a field in South Africa were collected through
 camera trapping and observations by researchers and guards. Data are
 presented in their raw form, though other data that are sensitive or
 irrelevant to the publication have been removed. For full methods and
 analyses, see linked paper in Ecology and Evolution.
DOI: 10.5061/dryad.7pvmcvdvw
title: Combining climatic and genomic data improves range-wide tree height growth prediction in a forest tree

description: Population response functions based on climatic and phenotypic data from
 common gardens have long been the gold standard for predicting
 quantitative trait variation in new environments. However, prediction
 accuracy might be enhanced by incorporating genomic information that
 captures the neutral and adaptive processes behind intra-population
 genetic variation. We used five clonal common gardens containing 34
 provenances (523 genotypes) of maritime pine (Pinus pinaster Aiton) to
 determine whether models combining climatic and genomic data capture the
 underlying drivers of height-growth variation, and thus improve
 predictions at large geographical scales. The plastic component explained
 most of the height-growth variation, probably resulting from population
 responses to multiple environmental factors. The genetic component stemmed
 mainly from climate adaptation, and the distinct demographic and selective
 histories of the different maritime pine gene pools. Models combining
 climate-of-origin and gene pool of the provenances, and positive-effect
 height-associated alleles (PEAs) captured most of the genetic component of
 height-growth and better predicted new provenances compared to the
 climate-based population response functions. Regionally-selected PEAs were
 better predictors than globally-selected PEAs, showing high predictive
 ability in some environments, even when included alone in the models.
 These results are therefore promising for the future use of genome-based
 prediction of quantitative traits.
description: We collected phenotypic (i.e. height measurements) and genomic
 (5,165 high-quality polymorphic SNPs) data from the clonal common garden
 network CLONAPIN consisting of 5 test sites and 34 populations of maritime
 pine (523 genotypes).
description: Please refer to the README file associated with this DRYAD
 repository for a description of the variables and values in each dataset
 and the scripts used to analyze the present data.
DOI: 10.5061/dryad.q573n5tm6
title: Data from: Energy and physiological tolerance explain multi-trophic soil diversity in temperate mountains

description: Aim – Although soil biodiversity is extremely rich and spatially variable,
 both in terms of species and trophic groups, we still know little about
 its main drivers. Here, we contrast four long-standing hypotheses to
 explain the spatial variation of soil multi-trophic diversity: energy,
 physiological tolerance, habitat heterogeneity, and resource
 heterogeneity. Location – French Alps Methods – We built on a large-scale
 observatory across the French Alps (Orchamp) made of seventeen elevational
 gradients (~90 plots) ranging from low to very high altitude (280 - 3160
 m), and encompassing large variations in climate, vegetation and
 pedological conditions. Biodiversity measurements of 36 soil trophic
 groups were obtained through environmental DNA metabarcoding. Using a
 machine learning approach, we assessed 1) the relative importance of
 predictors linked to different ecological hypotheses in explaining overall
 multi-trophic soil biodiversity, and 2) the consistency of the response
 curves across trophic groups.  Results – We showed that
 predictors associated with the four hypotheses had a statistically
 significant influence on soil multi-trophic diversity, with the strongest
 support for the energy and physiological tolerance hypotheses.
 Physiological tolerance explained spatial variation in soil diversity
 consistently across trophic groups, and was an especially strong predictor
 for bacteria, protists and microfauna. The effect of energy was more
 group-specific, with energy input through soil organic matter strongly
 affecting groups related to the detritus channel. Habitat and resource
 heterogeneity had overall weaker and more specific impacts on biodiversity
 with habitat heterogeneity affecting mostly autotrophs, and resource
 heterogeneity affecting bacterivores, phytophagous insects, enchytraeids
 and saprotrophic fungi. Main Conclusions – Despite the variability of
 responses to the environmental drivers found across soil trophic groups,
 major commonalities on the ecological processes structuring soil
 biodiversity emerged. We conclude that among the major ecological
 hypotheses traditionally applied to aboveground organisms, some are
 particularly relevant to predict the spatial variation in soil
 biodiversity across the major soil trophic groups.
DOI: 10.5061/dryad.v6wwpzgz5
title: Variation and correlation in the timing of breeding of North Atlantic seabirds across multiple scales

description: Timing of breeding, an important driver of fitness in many populations, is
 widely studied in the context of global change, yet despite considerable
 efforts to identify environmental drivers of seabird nesting phenology,
 for most populations we lack evidence of strong drivers. Here we adopt an
 alternative approach, examining the degree to which different populations
 positively covary in their annual phenology to infer whether phenological
 responses to environmental drivers are likely to be (i) shared across
 species at a range of spatial scales, (ii) shared across populations of a
 species, or (iii) idiosyncratic to populations. We combined 51 long-term
 datasets on breeding phenology spanning 50 years from nine seabird species
 across 29 North Atlantic sites and examined the extent to which different
 populations share early versus late breeding seasons depending on a
 hierarchy of spatial scales comprising breeding site, small-scale region,
 large-scale region and the whole North Atlantic. In about a third of cases
 we found laying dates of populations of different species sharing the same
 breeding site or small-scale breeding region were positively correlated,
 which is consistent with the hypothesis that they share phenological
 responses to the same environmental conditions. In comparison we found no
 evidence for positive phenological covariation among populations across
 species aggregated at larger spatial scales. In general we found little
 evidence for positive phenological covariation between populations of a
 single species, and in many instances the inter-year variation specific to
 a population was substantial, consistent with each population responding
 idiosyncratically to local environmental conditions. Black-legged
 kittiwake (Rissa tridactyla) was the exception, with populations
 exhibiting positive covariation in laying dates that decayed with the
 distance between breeding sites, suggesting that populations may be
 responding to a similar driver. Our approach sheds light on the potential
 factors that may drive phenology in our study species, thus furthering our
 understanding of the scales at which different seabirds interact with
 interannual variation in their environment. We also identify additional
 systems and phenological questions to which our inferential approach could
 be applied.
description: This dataset comprises raw datasets compiled directly through
 correspondance with researchers.
DOI: 10.5281/zenodo.14760441
title: Outer Port of Punta Langosteira (Spain) wave data: 2024-10 - 2025-01
title: aalvarell/langosteira-outer-port-wave-data-2024-10-to-2025-01: v1.0.0

description: Wave agitation data from the Outer Port of Punta Langosteira (A Coruña, Spain), recorded using an OBS-Buoy400 Wave Buoy.

Includes significant wave height (Hs), maximum wave height (Hmax), and peak wave period (Tp) from Oct 2024 to Jan 2025.
DOI: 10.5281/zenodo.14760442
title: Outer Port of Punta Langosteira (Spain) wave data: 2024-10 - 2025-01
title: aalvarell/langosteira-outer-port-wave-data-2024-10-to-2025-01: v1.0.0

description: Wave agitation data from the Outer Port of Punta Langosteira (A Coruña, Spain), recorded using an OBS-Buoy400 Wave Buoy.

Includes significant wave height (Hs), maximum wave height (Hmax), and peak wave period (Tp) from Oct 2024 to Jan 2025.