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Record W6888776330 · doi:10.21966/t8hm-ge90

Eelgrass (Z. marina) extent at Gulf Islands National Park Reserve eelgrass monitoring sites (2017, 2018)

2021· dataset· en· W6888776330 on OpenAlexaboutno aff

Bibliographic record

VenueHakai Institute · 2021
Typedataset
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsShapefileNational parkCitizen scienceZostera marinaGeoreferenceAerial surveyAerial photographyUnderwaterData collectionGeolocation

Abstract

fetched live from OpenAlex

This data package contains the datasets and reports pertaining to mapping the spatial extent of Zostera marina at several monitoring sites within the Gulf Islands National Park Reserve, British Columbia, Canada. This work was a collaborative project between the Hakai Institute and the Gulf Islands National Park Reserve (GINPR). Monitoring sites were mapped using small Remotely Piloted Aerial Systems (RPAS) (DJI Phantom Pro 3) during summer low tides (0.3-0.8 m) in 2017 and 2018. Orthomosaics of each site were created using a Structure from Motion Multi-View Stereo (SfM-MVS) workflow within Pix4Dmapper software (Version 2.1.61, Pix4D) in Windows 10 and georeferenced using group control points collected concurrently during the surveys. The extent of eelgrass at each site was delineated using object-based image analysis (OBIA) with eCognition Developer software (eCognition Developer 9, 2014) and manual delineation (where necessary). Georeferenced towed underwater video (SplashCam Pro) data were collected at eelgrass monitoring sites during high tide to provide ground-truth data for the aerial analysis and delineation of eelgrass. The data package includes: - The reports (.pdf) which describe project, data collection and processing methods and results for both 2017 and 2018 surveys. - Polygon shapefiles (.shp) of the extent of eelgrass (Z. marina) at each monitoring site. - Point shapefiles (.shp) of classified towed underwater video transects*. - A data dictionary (.csv) which describes the attributes of the shapefiles. *The towed underwater video footage is not provided as a part of this data package but is available upon request. This data package is a component of the Hakai Institute’s Habitat Mapping program. The overarching objective of the Hakai Habitat Mapping program is to generate spatial inventories of coastal habitats, investigate how these habitats are changing through time and the drivers of that change. These data were collected as a part of the Coastal BC Nearshore Habitat Mapping Project (a collaboration between Parks Canada and the Hakai Institute). Permission to use this dataset must be granted by the Hakai Institute and Gulf Islands National Park Reserve to the individual who makes the data request. Data can only be used for the permitted purpose and are not to be shared or repurposed. Please refer to the README.txt file included in this data package.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.022
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0030.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.023

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.075
GPT teacher head0.322
Teacher spread0.247 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreDataset

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2021
Admission routes1
Has abstractyes

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