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Record W4394379284 · doi:10.6084/m9.figshare.12124311

CA-TPD Soil Respiration Data 2014-2019

2020· dataset· en· W4394379284 on OpenAlexaboutno aff
M. Altaf Arain

Bibliographic record

VenueFigshare · 2020
Typedataset
Languageen
FieldEnvironmental Science
TopicSoil Moisture and Remote Sensing
Canadian institutionsnot available
Fundersnot available
KeywordsSoil respirationRespirationEnvironmental scienceEnvironmental chemistryChemistryAtmospheric sciencesGeologyBiologyBotany

Abstract

fetched live from OpenAlex

Soil CO2 emissions or soil respiration (Rs) data were measured at a 90-year old managed deciduous (Carolinian species) forest north of Lake Erie in southern Ontario, Canada. The forest site is part of the Turkey Point Observatory and has been associated with AmeriFlux and global Fluxnet initiatives, where it is known as CA-TPD. The forest is naturally regenerated on sandy terrain and abandoned agricultural land, and has been managed in the past. The dominant tree species include The stand is dominated by white oak (Quercus Alba), with secondary hardwood species including: red maple (Acer Rubrum), sugar maple (Acer Saccharum), black oak (Quercus Velutina), red oak (Quercus Rubra), white ash (Fraxinus Americana), yellow birch (Betula alleghaniensis) and American beech (Fagus Grandifolia). Half hourly Rs was recorded using an automated soil CO2 flux measurement system from 2014 to 2019 (excluding winter months). It was comprised of three main components: the gas analyzer (hosted in an analyzer control unit) (LI-8100A), long-term measurement chambers (LI8100-104), and a multiplexer to allow for multiple chamber measurements (LI-8150) (LI-COR Lincoln, Nebraska, USA). Chambers were equipped with a soil temperature (Ts) and soil moisture (SM) probe at 5 cm depth installed outside of the collar. The soil collars had internal diameter of approximately 20 cm, a height of 11.5 cm, and a thickness of 1 cm. Each collar was inserted approximately 7-8 cm into the soil surface, with 3 cm remaining above. The measurement chambers remained open when not taking measurements. Throughout the growing season, any vegetation growth was removed from inside the collars to eliminate potential photosynthesis effects. Tree density is 504 ± 18 tree per ha. Average tree height is 25.7m and diameter at breast height is 22.3 cm. Leaf Area Index is 8.0. The soil organic layer depth typically ranged from 2 to 6 cm. Topography in the area is predominantly flat with occasional 0.5-3.0% undulating slopes. The soil at the site is well drained with a low water holding capacity and classified as brunisolic grey-brown luvisols in the Canadian System of Soil Classification and is composed of ~98% sand. The climate in the region is cool temperate with a 30-year mean annual temperature of 8.0 °C and mean annual precipitation of 1036 mm.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.762
Threshold uncertainty score0.473

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.002

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 head0.053
GPT teacher head0.269
Teacher spread0.216 · 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 designObservational
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
Published2020
Admission routes1
Has abstractyes

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