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Enregistrement W4394106172 · doi:10.6084/m9.figshare.4056261

YorkU.Forest.Oct24-2016.csv

2016· dataset· en· W4394106172 sur OpenAlexaboutno aff
Candice Ho, Numra Shah, Moses Njoroge

Notice bibliographique

RevueFigshare · 2016
Typedataset
Langueen
DomaineAgricultural and Biological Sciences
ThématiqueForest Ecology and Biodiversity Studies
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésForestryEnvironmental scienceGeography

Résumé

récupéré en direct d'OpenAlex

Meta Data Census: This variable represents the week that is being sampled. Week 8 is defined as census 3. Campus: This categorical variable defines the York University campus that the study is being conducted. Habitat: This categorical variable defines the type of habitat used in the study. A forest habitat represents a woodlot on campus. The forest habitat that was studied was the Saywells Woodlot. Replicates: A total number of 25 quadrats were used to survey herbaceous plants. A total of 25 replicates were performed to survey woody plants. A total of 6 replicates for pan traps and 10 replicates for sweep nets were performed to survey invertebrates.1 replicate was conducted to observe vertebrates abundance. Abundance of native plants: This continuous variable measures the total number of individual plants that are native to Ontario within a 0.5 x 0.5 m quadrat. Abundance of exotic plants: This continuous variable measures the total number of individual plants that are exotic in Ontario within a 0.5 x 0.5 m quadrat. Total number of flowers: This continuous variable measures the total number of independent flower heads within a quadrat. Abundance of woody plants: This continuous variable measures the amount of a trees present within 0.5 meters of the transect. The tree must be larger than 1.5 meters. Canopy cover: This continuous variable represents the amount of canopy coverage of a tree by looking up. It was measured every 2 meters by holding both hands up towards the sky to form a square. Ground cover: This continuous variable measures the amount of vegetative ground cover by looking down. It was measured every 2 meters by holding both hands towards the ground to form a square. Total number of flowers: This continuous variable represents the amount of observed plant species. Abundance of vertebrates: This continuous variable measures the amount of animals located within a 50 meter radius and duration of 15 minutes. Vertebrate species: This categorical variable represents the type of specie observed within a 50 meter radius and duration of 15 minutes. Abundance of humans: This continuous variable measures the amount of human population that interact with the area but are not involved in the lab for a duration of 15 minutes. Abundance of invertebrates observed: This continuous variable measures the observed number of invertebrates within a 5 meter radius of the given habitat for a duration of 15 minutes. Abundance of invertebrates in pan traps: This continuous variable represents the observed number of invertebrates collected within colourful bowls (blue, white and yellow) that contain soapy water. Abundance of invertebrates in sweep nets: This continuous variable represents the observed number of invertebrates captured in the sweep nets at the end of the 50 meter length transect. Description On October 24th, 2016 a study conducted by Candice, Moses and Numra was performed in the Saywells Woodlot at York University. The temperature was 9 degrees, with significant cloud cover. The forest GPS coordinates are; latitude: 43. 76876, longitude: -79.5079, elevation: 126.302. The study was conducted to compare different habitats across various universities by using transects, quadrats, pan traps and sweep nets. Methods The data collection for the forest habitat began at 2:50 pm and ended at 3:50 pm. In order to survey the herbaceous plants, a 50 meter transect was randomly placed. A 0.5 x 0.5 m quadrat was placed every 2 meters of the transect, by alternating left to right. The abundance of native plants, exotic plants and number of flower heads within the quadrat were recorded. The quadrat was divided into 4 squares. The abundance of plants within a square were recorded and multiplied by 4 to represent the whole quadrat. The woody plants were then surveyed along the 50 meter transect. The presence of a tree that is larger than 1.5 meters and within 0.5 meters of the transect was observed at every 2 meters. At every other meter, the canopy coverage was recorded by looking up and using 2 hands to form a square. Alternatively, at every other meter, the vegetation ground coverage was measured by looking down and using 2 hands to form a square. The number of flowers surrounding the transect was also calculated. Next, the data survey for the vertebrate and invertebrate was conducted within a 50 meter radius. The abundance of vertebrates was recorded by counting the total number of individuals. The specie type was also observed for a 15 minute interval. The abundance of invertebrates, for example, flying insects observed was recorded for 15 minutes within a 5 meter radius.In order to survey invertebrates, pan trap and sweep net techniques were used. A total of 6 pan traps, in alternating colours (white, yellow and blue) contained soapy water solution and were placed every 3 meters along the 50 meter transect. After 40 minutes, the amount of invertebrates present in the pan traps were counted. The sweep net technique was performed by sweeping the net in a figure 8 motion, right to left along the the 50 meter distance of the transect. A total of ten repetitions were made in each habitat. HypothesisIn the Saywell Woodlot, there should be a higher abundance of insects due to the higher abundance of plant species compared to the impermeable habitat, the baseball diamond. The plant species can be used as a habitat or food supply for the insects. PredictionsThe Saywell Woodlot can act as a habitat and food supply for the insects to survive off of because of its higher abundance of plants.The impermeable habitat, the baseball diamond, cannot act as an ideal habitat or provide any food source due to its lack of abundance in plants.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,002
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesCharge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Jeu de données · Signal consensuel: aucune
Score de désaccord entre enseignants0,925
Score d'incertitude au seuil0,107

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,002
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0020,004
Études des sciences et des technologies0,0010,000
Communication savante0,0030,002
Science ouverte0,0020,003
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,9250,878

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,039
Tête enseignante GPT0,214
Écart entre enseignants0,175 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Devis d'étudeSans objet
Domainenon disponible
GenreJeu de données

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2016
Routes d'admission1
Résumé présentoui

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