Global Stem Respiration Dataset archived release supporting Zhang et al., 2025
Bibliographic record
Abstract
This archived release corresponds to the dataset underlying the published analyses in Zhang et al. (2025)(DOI: 10.1126/science.adr9978). For broader reuse and later data expansions, please refer to the separately deposited expanded release.This dataset compiles observation data on CO2 emission from woody plant stems, including 4627 data globally, 4155 temporal data on one site, and warming experiment data. These data files were analyzed to produce the statistics and figures reported in the paper about thermal acclimation of stem respiration.The data sources from (a) data from existing datasets (TRY database, which includes the Functional Ecology of Trees (FET) dataset, ECOCRAFT dataset, Global Respiration Dataset, and Tropical Respiration Dataset), (b) data digitized from publications (journal articles and book chapters from 1966 to present), (c) data provided by coauthors.The file “GSRD_global.csv” includes individual measurements of stem respiration rate (and other correlated traits) where species and site information were provided, and with sufficient information to be able to reasonably assign geographic coordinates, and thus climate data, for each sample. Each row represents an individual respiration rate datum, with each column reflecting a distinct variable including references, latitude and longitude, climate zones, species names (authorities), genus, family, group, plant functional types, measurement methods, average temperature during the growing season, average diameter at breast height, wood density, measured temperature, surface area-based stem respiration rate, mass-based stem respiration rate, and standardized mass-based stem respiration rate at 25 degrees Celsius. To ensure all the data were processed in the same way, this dataset excluded observations without stem diameter information. The measurements are from 67 sites worldwide on 186 species, and a total of 4627 observations for global analysis.The file “GSRD_seasonal.csv” includes 4155 observations of stem respiration rate for seasonal analysis, including the species black spruce, aspen and jack pine. Lavigne and Ryan measured stem respiration during the 1994 growing season at eight sites with contrasting climates. Here is a subset including data from one site near the northern boundary of the boreal region, close to Thompson, Manitoba (55.90°N, 98.75°W), where measurements were made between May to September 1994.The file “GSRD_warmingExp.csv” includes data from a warming experiment conducted by Smith et al.. They examined the thermal acclimation of stem respiration in individuals of five different woody species acclimated to five temperatures: 15, 20, 25, 30, 35 degrees Celsius on each individual following a 7-day acclimation period.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.132 | 0.135 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".