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122 results for “ecological approach”

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zenodo44/100

Data from: A semi-automated approach to classify and map ecological zones across the dune-beach interface

<p>This is the raw data behind the publication:&nbsp;</p> <p><strong>A semi-automated approach to classify and map ecological zones across the dune-beach interface</strong></p> <p><strong>Abstract: </strong>Habitat classification and mapping underpins most conservation and management tools, because habitats are often used as a surrogate for all biodiversity. Some habitat boundaries are easy to delineate; however, sandy shores are ecotones or ecoclines given their dynamic interface between the marine and the terrestrial realms. Although methods for mapping habitats along shorelines have been broadly applied, we aim to test a semi-automated approach to mapping across-shore &ldquo;sub-environments&rdquo; in this transition zone at a finer scale. Using an empirical dataset of photographs covering a small area (three across-shore transects from each of two different areas) with a high resolution, we tested seven machine learning algorithms to determine which one had the best classification accuracy, and to identify which environmental variables are the main determinants of classifications. The randomForest, stochastic gradient boosting, and C5.0 algorithms most accurately classified the photographs as the correct sub-environment. Based on the randomForest algorithm, the variables entropy, drift cover rate, local slope, segmented vegetation cover and number of points with sand or marine litter had the highest influence on the classification. There was no sensitivity to spatial variation alongshore. This approach can be used to map sub-environments at larger scales using drone technology to capture georeferenced digital photographs systematically. Consequently, coastal habitats can be mapped at a finer scale without causing disturbance to this especially sensitive ecotone.</p>

opencc-by-4.0Nov 2017View details →
zenodo40/100

Datasets of the Doctoral Dissertation: "A Geoarchaeological Approach to the Materiality and Historical Ecology of Earth Mounds: The Colina da Monte Site, Uruguay."

<p>These PDF files contain the datasets, workflows, and codes from Roc&iacute;o M. L&oacute;pez Cabral's Doctoral Dissertation project: "A Geoarchaeological Approach to the Materiality and Historical Ecology of Earth Mounds: The Colina da Monte Site, Uruguay."</p>

opencc-by-4.0Mar 2024View details →
zenodo40/100

F I G U R E 3 in The future of fish-based ecological assessment of European rivers: from traditional EU Water Framework Directive compliant methods to eDNA metabarcoding-based approaches

F I G U R E 3 Comparison of trait-based metrics expressed in relative number of individuals computed from eDNA () and traditional electro-fishing (TEF;) samples in the five river stretches (RS), A, B, C, D and E. Trait categories: BEN, benthic; EUR, eurytopic; INS, insectivorous; OMN, omnivorous; PHY, phytophilic; POT, potamodromous; RHE, rheophilic; TOL, tolerant; PEL pelagic. Significance of the differences between eDNA and TEF metrics are shown: ns, not significant (P&gt; 0.05)

opencc-by-4.0Nov 2019View details →
zenodo40/100

F I G U R E 4 in The future of fish-based ecological assessment of European rivers: from traditional EU Water Framework Directive compliant methods to eDNA metabarcoding-based approaches

F I G U R E 4 Boxplots (, median value;, interquartile range;, full range;, outliers) showing the variability in the eDNAadapted fish index (six metrics) computed at three sites (Brangues, Rhins and Usses) where 10 eDNA water samples were collected once. At each site, the eDNA-based six-metric fish index was computed for each of the 45 possible pairs of samples

opencc-by-4.0Nov 2019View details →
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F I G U R E 2 in The future of fish-based ecological assessment of European rivers: from traditional EU Water Framework Directive compliant methods to eDNA metabarcoding-based approaches

F I G U R E 2 Comparison of trait-based metrics expressed in number of species computed from eDNA () and traditional electrofishing (TEF;) samples in the five river stretches (RS), A, B, C, D and E. Trait categories: BEN, benthic; EUR, eurytopic; INS, insectivorous; OMN, omnivorous; PHY, phytophilic; POT, potamodromous; RHE, rheophilic; TOL, tolerant; PEL pelagic. Significance of the differences between eDNA and TEF metrics are shown: P &lt;0.05; P &lt;0.01; ns, not significant (P&gt; 0.05)

opencc-by-4.0Nov 2019View details →
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F I G U R E 1 in The future of fish-based ecological assessment of European rivers: from traditional EU Water Framework Directive compliant methods to eDNA metabarcoding-based approaches

F I G U R E 1 Sampling locations along river stretches (RS) A to E () of the main channel of the Rhône River, France, using both traditional electro-fishing (TEF) and eDNA., Sites sampled every 2 months (September 2015– August 2016);, sites where ten eDNA water samples (filtration capsules) were collected once;, sites located on the tributaries or the Rhône River itself sampled once for eDNA. The 10 metric fish index and the adapted six-metric fish index were computed at all sites with a black filled symbol within natural water bodies

opencc-by-4.0Nov 2019View details →
zenodo40/100

Fig. 8 in A combined morphological and molecular approach in identifying barnacle cyprids from the Matang Mangrove Forest Reserve in Malaysia: essentials for larval ecology studies

Fig. 8. Classification tree model computed from the morphometric characters of complete specimen data (with carapace sculpturing). A binary decision is made at each node, where 'true' for the node description lead to branch at left and 'false' to right. Probability of correct prediction ('recall') at each terminal node ('leaf') is also shown.

opencc-by-4.0May 2014View details →
zenodo40/100

Fig. 7 in A combined morphological and molecular approach in identifying barnacle cyprids from the Matang Mangrove Forest Reserve in Malaysia: essentials for larval ecology studies

Fig. 7. Light and scanning electron micrograph of cyprids of: A, B, Amphibalanus reticulatus; C, OTU 2; D, Amphibalanus amphitrite; and E, OTU 1. Carapace sculpturing were absent in this group of cyprids.

opencc-by-4.0May 2014View details →
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Fig. 9 in A combined morphological and molecular approach in identifying barnacle cyprids from the Matang Mangrove Forest Reserve in Malaysia: essentials for larval ecology studies

Fig. 9. Composition of barnacle cyprid diversity at different stations and different year of collection.

opencc-by-4.0May 2014View details →
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Fig. 6 in A combined morphological and molecular approach in identifying barnacle cyprids from the Matang Mangrove Forest Reserve in Malaysia: essentials for larval ecology studies

Fig. 6. Light and scanning electron micrograph of cyprids of: A–H, Amphibalanus variegatus; and I–L, Euraphia withersi. Details of specific carapace sculpturing patterns in each species are shown at higher magnification. 6I, E. withersi has reddish pigments around the carapace (arrows) and a dark rounded pigmentation spot (circled).

opencc-by-4.0May 2014View details →
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Fig. 5 in A combined morphological and molecular approach in identifying barnacle cyprids from the Matang Mangrove Forest Reserve in Malaysia: essentials for larval ecology studies

Fig. 5. Light and scanning electron micrograph of cyprids of: A–D, Fistulobalanus sp.; and E–J, Fistulobalanus patellaris. Details of specific carapace sculpturing patterns in each species are shown at higher magnification.

opencc-by-4.0May 2014View details →
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Fig. 2 in A combined morphological and molecular approach in identifying barnacle cyprids from the Matang Mangrove Forest Reserve in Malaysia: essentials for larval ecology studies

Fig. 2. Lateral view of cyris larvae of barnacle showing measurements used for morphometric analysis. CL: carapace length; CH: carapace height; A: posterior carapace angle. Ratio of CL/CH was also calculated.

opencc-by-4.0May 2014View details →
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Fig. 1 in A combined morphological and molecular approach in identifying barnacle cyprids from the Matang Mangrove Forest Reserve in Malaysia: essentials for larval ecology studies

Fig. 1. Map of sampling locations at Matang Mangrove Forest Reserve (MMFR) in Perak, Malaysia. Sampling was carried out in April 2011 at sites 1–8 and in June 2012 at sites 9–14.

opencc-by-4.0May 2014View details →
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Fig. 4 in A combined morphological and molecular approach in identifying barnacle cyprids from the Matang Mangrove Forest Reserve in Malaysia: essentials for larval ecology studies

Fig. 4. Histogram showing variations of pair-wise genetic distances computed from 12S-rRNA gene fragment sequences using Kimura 2-parameter model. Note the distribution of within-species variations does not overlap with that of inter-species variation.

opencc-by-4.0May 2014View details →
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Fig. 3. Neighbour-joining tree contructed from partial 12S in A combined morphological and molecular approach in identifying barnacle cyprids from the Matang Mangrove Forest Reserve in Malaysia: essentials for larval ecology studies

Fig. 3. Neighbour-joining tree contructed from partial 12S-rRNA gene fragment sequences of cyprids and adults of barnacle. The sequences were clustered into eight clades, and species name were labelled at the clades containing sequence(s) of identified adult of barnacle. Clades with no sequence of identified barnacle adult clustered within were designated as OTU (Operational Taxonomic Unit). Number of sequences in each clade were also shown. Scale bar denotes 0.02 base substituition per site.

opencc-by-4.0May 2014View details →
dryad40/100

Trends in research approaches and gender in plant ecology dissertations over four decades

<p>Dissertations are a foundational scientific product; they are the formative product that early-career scientists create and share original knowledge. Methodological approaches used in dissertations vary depending on the research field. In plant ecology, these approaches include observations, experiments (field or controlled-environment), literature reviews, theoretical approaches, or analyses of existing data (including 'big data'). This dataset was created to examine how the emphasis on each of these categories has changed over time, and whether male and female authors differ in the methods employed. The dissertations used for this study were gathered from the <em>Proquest Dissertations and Theses Global</em> (<a href="https://www.proquest.com/pqdtglobal)">https://www.proquest.com/pqdtglobal</a><a href="https://www.proquest.com/pqdtglobal)">)</a> database.</p>

opencc-zeroMay 2024View details →
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Figure 5 in Establishment of an expansion-predicting model for invasive alien cerambycid beetle Aromia bungii based on a virtual ecology approach

Figure 5. Map of predicted occurrence units for the whole of Saitama Prefecture using both the river density model and river single model. The degree of shading reflects the theoretical invasion number predicted by each simulation model.

opencc-by-4.0Dec 2021View details →
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Figure 4 in Establishment of an expansion-predicting model for invasive alien cerambycid beetle Aromia bungii based on a virtual ecology approach

Figure 4. (a) Map of occurrence records for A. bungii through 2019. (b–g) Predicted occurrence units based on our models for each habitat variable. The degree of shading reflects the theoretical invasion number predicted by each model.

opencc-by-4.0Dec 2021View details →
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Figure 2 in Establishment of an expansion-predicting model for invasive alien cerambycid beetle Aromia bungii based on a virtual ecology approach

Figure 2. Basic structure of the cellular automata model. (A) Two values are associated with each cell: 1) the cell ID "x," a unique ID for each cell, and 2) the expansion probability "ex" indicating four directional vectors into adjacent cells (described below). (B) Values e1, e2, e3, and e4 indicate the probability of dispersion using the path to the top, left, bottom, and right cells, respectively. If the dispersion path value is 1, the insect population in this cell can expand to the adjacent cell.

opencc-by-4.0Dec 2021View details →
zenodo40/100

Diagramms and Figures for a Bachelor Thesis: "Morphological Diversity of Bryophytes: Methodological Approaches and Ecological Implications"

<p>This depository holds all diagramms and figures that were created with the collected data used in the Bachelor's Thesis using R Version 4.4.0 or Python Version 3.12.4.&nbsp;<br><br></p>

opencc-by-4.0Jul 2024View details →

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Allen Brain Atlas

Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

Annotated Behaviour and Observability Dataset (ABODe)

ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

DANDI Archive for NWB datasets

DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

International Brain Laboratory public data

The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

OpenNeuro

OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record