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Record W4394084182 · doi:10.6084/m9.figshare.4042527

Grassland and Disturbed Open Space Data for York University

2016· dataset· en· W4394084182 on OpenAlexaboutno aff
Melinaz Barati, Diana Bleyan, Nargol Ghazian, Noyell Sakthikumar

Bibliographic record

VenueFigshare · 2016
Typedataset
Languageen
FieldEnvironmental Science
TopicRangeland and Wildlife Management
Canadian institutionsnot available
Fundersnot available
KeywordsGrasslandSpace (punctuation)Environmental scienceGeographyHydrology (agriculture)Computer scienceGeologyEcologyGeotechnical engineeringBiology

Abstract

fetched live from OpenAlex

Description: · Following experiment was taken on October 19th, 2016, at York University for Ecology 2050. The data was gathered in both grassland and disturbed open space at Saywell grassland and Library lane respectively. The experiment took place from 2:45pm-4: 15pm, in clear weather conditions. The temperature ranged from 19-21 degrees Celsius. Data was collected in the grassland area, followed by being collected in the disturbed open space area. (Grassland: 2:45-3:30pm, disturbed open space: 3:30-4:15pm). Methods : Person 1 – Herbaceous Plants (Diana Bleyan) A 50m long transect was placed in a straight line on the ground of the grassland area and disturbed open space. Every 2 meters along the transect, a 1mx1m quadrat was randomly placed along the transect (~1 meter from the transect). The quadrat was placed in alternates on the left and right side of the transect. Person 2 – Woody Plants (Melinaz Barati) A 50m long transect was placed in a straight line on the ground of the grassland area and disturbed open space. Every 2 meters along the transect, students have looked for a tree on either side of the transect within 0.5 meters from the transect. Person 3 – Vertebrates and Invertebrates (Nargol Ghazian) A 25 meter transect was placed in a straight line on the ground of the grassland area and disturbed open space, in order to provide the sense for a 25 meter radius. Vertebrates and invertebrates were observed, using a naked eye. For invertebrates, the length of the transect was shortened to a 5 meter radius. Person 4 – Invertebrates (Noyell Sakthikumar) · A 25 meter transect was placed in a straight line on the ground of the grassland and disturbed open space area and 6 pan traps were placed along the transect (~1 meter away from each other along the length of the transect). Each pan trap was strategically placed with respect to color (the colors varied from blue to yellow to white). The soapy water was poured in each pan trap, covering half of the pan trap’s volume. All the traps were left for 45 minutes. · A 50m long transect was placed in a straight line on the ground of the grassland and disturbed open space and a student conducted 10 sweep nets along the transect. The sweeps were done in a shape of infinity sign, 1 meter above the ground. Meta-data: Person 1 – Herbaceous Plants (Diana Bleyan) · Abundance.native.plants – native plants were defined as species within an observed quadrat, which grow naturally in a given region (Ontario, Canada). · Abundance.exotic.plants – exotic plants were defined as invasive species within an observed quadrat, which were introduced to a given region (Ontario, Canada). · Total.number.flowers (quadrat) – were counted as total number of flower heads within an observed quadrat. A flower head was considered to be at the top of the stem. Person 2 – Woody Plants (Melinaz Barati) · Abundance.woody.plants– a woody plant was considered as a tree higher than 1.5 meters in height. If no tree was observed within 0.5 meters from the transect, students recorded 0. · Canopy.cover– was estimated in %, by holding a square (created by hands, approximately 3cmx3cm) and measuring how much of the square area was filled with canopy of the tree. · Ground.cover – was estimated in %, by holding a square (created by hands, approximately 3cmx3cm) and measuring how much of the square area contains vegetation. · Total.flower.numbers (transect)– was counted, within 0.5 meter distance from the observed tree/trees. A flower was considered to be any plant that contained a flower head, attached to the top of the stem. Person 3 – Vertebrates and Invertebrates (Nargol Ghazian) · Abundance.invertebrate.observed – the variety of invertebrates observed, consisted of mosquitos, butterflies, bees, grasshoppers, beetles and dragon flies. · Abundance.vertebrate observed, consisted of squirrels and birds (including Seagulls and Ring-billed gulls) · Abundance.human was separated from the rest of the vertebrate species not part of our lab. Person 4 – Invertebrates (Noyell Sakthikumar) · Invertebrate species – the number of observed flies, grasshoppers and beetles · Abundance.invertebrates.pantraps – the number of invertebrates trapped in a soapy water of a pan trap · Abundance.invertebrates.sweeps – the number of invertebrates trapped in a sweep net (at the end of sweeping along the 50m transect) Hypothesis: Person 1 – Herbaceous Plants (Diana Bleyan) The number of flowers and native species is higher in the grassland (undisturbed) area than in disturbed open space. Person 2 – Woody Plants (Melinaz Barati) Woody plants are more abundant in grassland (undisturbed) area and have higher canopy coverage and less ground vegetation, in comparison to disturbed open space. Person 3 – Vertebrates and Invertebrates (Nargol Ghazian) The number of certain vertebrates in grassland and disturbed open space will be the same whilst the number of invertebrates in disturbed area will be lower than grassland. Person 4 – Invertebrates (Noyell Sakthikumar) The abundance of invertebrate species is higher in the grassland area than the disturbed open space area whilst the abundance of certain vertebrates species remains unchanged in both habitats. Prediction: Person 1 – Herbaceous Plants (Diana Bleyan) The number of flowers and native species is higher in the grassland (undisturbed) area than in disturbed open space, because there is increased human activity and human traffic in disturbed open space, which results in overall habitat invasion and affects the condition of plants. Moreover, observed results may be attributed to the fact that the disturbed open space was created by humans, which is not a natural habitat for the presented plants. Person 2 – Woody Plants (Melinaz Barati) Woody plants are artificially planted in disturbed areas and are heavily affected by human traffic and human activities, which negatively impacts their condition. In comparison, grassland (undisturbed) area is a natural habitat and is less affected by human activity, which makes it a more suitable environment for woody plants’ growth. The difference in their environments would result in higher canopy coverage of woody plants in grassland areas and therefore lower ground vegetation. Person 3 – Vertebrates and Invertebrates (Nargol Ghazian) Since invertebrate depend highly on vegetation as their habitat, a way hoping from one vegetation to next (movement) and nutrients they will have a greater abundance in the grassland land where there is more variety of vegetation as opposed to the disturbed open space which is surrounded by people, gravel and the vegetation is very sparse. However, the abundance of certain vertebrate species such as birds remains unchanged in both habitats because birds do not directly depends on the resources of these habitats. Person 4 – Invertebrates (Noyell Sakthikumar) The abundance of invertebrate species is higher in the grassland area than the disturbed open space area because the invertebrate species have a more suitable habitat and no disturbances in their environment, such as humans. In addition, the freshly planted grass in the disturbed open space is only a new habitat for the invertebrate species creating new homes as opposed to the grassland area where their habitat has been home far longer. Thus, the abundance would be greater for the grassland area than the disturbed open space.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.820
Threshold uncertainty score0.365

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.1090.037

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 head0.064
GPT teacher head0.264
Teacher spread0.200 · 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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".

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Citations0
Published2016
Admission routes1
Has abstractyes

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