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166 results for “Stem growth”
Number of growth days and not length of the growth period determines radial stem growth of temperate trees
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Data from: Global patterns of tree stem growth and stand aboveground wood production in mangrove forests
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Are leaf, stem and hydraulic traits good predictors of individual tree growth? (FUN2FUN project)
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Investigating the relationship between tree stem respiration and growth rate
<b>Description: </b><p>This study was conducted at the Maliau Basin Conservation area (4.747°, 116.970°) in an old-growth forest, the Belian plot. The sample consisted of ten trees of variety of species and a range of growth rates. Sampling took place over 3 consecutive days (18/02/2020 - 20/02/2020) to compile a 24-hour cycle due to logistical constrains impeding continuous measurement. Stem Respiration was measured hourly using a closed chamber EGM-4 Infrared Gas Analyser. Each tree has a 5cm long PVC collar with a 10.6cm internal diameter sealed with glue at 1.1m height. For each measurement, the chamber was flushed and collar fanned to remove stagnant air. The chamber was then sealed onto the PVC collar and Rs measured for 120 seconds. The raw measurements provides CO2 concentration (ppm), the results were then downloaded and filtered to remove initial stabilisation period and outliers using the R package "egm_r_tools" (see https://github.com/davidorme/egm_r_tools), with the ideal measurement being a linear slope with minimal residuals. The filtered efflux slope for each tree was then scaled to hourly and summed to give a daily total per tree. Out of the 24-hour period, two hour slots were missing (14:00 and 04:00) due to logistical constraints .</p><p><b>Project: </b>This dataset was collected as part of the following SAFE research project: <a href="https://www.safeproject.net/projects/project_view/152"><b>MRes Tropical Forest Ecology Field Course</b></a></p><p><b>XML metadata: </b>GEMINI compliant metadata for this dataset is available <a href="https://www.safeproject.net/datasets/xml_metadata?id=3952832">here</a></p><p><b>Files: </b>This consists of 1 file: Stem_Resp_TFE2020.xlsx</p><p><b>Stem_Resp_TFE2020.xlsx</b></p><p>This file contains dataset metadata and 4 data tables:</p><ol><li><p><b>Respiration_data_corrected</b> (described in worksheet Respiration_data_corrected)</p><p>Description: 24 hour observations of CO2 flux patterns corrected using egm-r-tools R package</p><p>Number of fields: 7</p><p>Number of data rows: 240</p><p>Fields: </p><ul><li><b>date</b>: Calendar date (Field type: date)</li><li><b>hour</b>: Hour in which the measurement was taken and represents (Field type: time)</li><li><b>tree_tag</b>: ID number of tree sampled (Field type: id)</li><li><b>corrected_flux</b>: EGM corrected flux using egm_r_tools R package (Field type: numeric)</li><li><b>subplot</b>: Subplot number within Belian Plot (Field type: id)</li><li><b>Subplot_code</b>: Subplot (Field type: location)</li><li><b>EGM_unit</b>: Number of EGM unit used (Field type: id)</li></ul></li><li><p><b>Respiration_data_uncorrected</b> (described in worksheet Respiration_data_uncorrected)</p><p>Description: Raw uncorrected 24 hour observations of CO2 flux patterns from EGM machine</p><p>Number of fields: 5</p><p>Number of data rows: 219</p><p>Fields: </p><ul><li><b>date</b>: Calendar date (Field type: date)</li><li><b>Time</b>: time respiration measurement was taken (Field type: time)</li><li><b>tree_tag</b>: ID number of tree sampled (Field type: id)</li><li><b>EGM_Record_No</b>: file number of measurement taken on EGM (Field type: numeric)</li><li><b>CO2_Concentration</b>: Measured CO2 (Field type: numeric)</li></ul></li><li><p><b>Tree_data</b> (described in worksheet Tree_data)</p><p>Description: Description of tree information for sampled trees</p><p>Number of fields: 10</p><p>Number of data rows: 10</p><p>Fields: </p><ul><li><b>Plot</b>: SAFE Project plot code (Field type: location)</li><li><b>tree_tag</b>: ID number of tree sampled (Field type: id)</li><li><b>Species</b>: Species of tree (Field type: taxa)</li><li><b>WoodDensity</b>: Estimated wood density of tree (Field type: numeric)</li><li><b>Census_date1</b>: Calendar date of most recent census (Field type: date)</li><li><b>D.POM_cm1</b>: Diamater of tree at measurement point at census 1 (Field type: numeric)</li><li><b>Height_m</b>: Height of tree (Field type: numeric)</li><li><b>H.POM_m</b>: Height at which tree diameter is measured (Field type: numeric)</li><li><b>Census_date2</b>: Calendar date of previous census (Field type: date)</li><li><b>D.POM_cm2</b>: Diamater of tree at measurement point at census 2 (Field type: numeric)</li></ul></li><li><p><b>Hourly_data</b> (described in worksheet Hourly_data)</p><p>Description: Hourly records of temperature and weather observations during the study</p><p>Number of fields: 4</p><p>Number of data rows: 24</p><p>Fields: </p><ul><li><b>Date</b>: Calendar date (Field type: date)</li><li><b>Hour</b>: Hour of which measurments were taken (Field type: time)</li><li><b>Temperature (DegC)</b>: Air temperature (Field type: numeric)</li><li><b>Weather_Observations</b>: weather observations (Field type: comments)</li></ul></li></ol><p><b>Date range: </b>2018-08-21 to 2020-02-20</p><p><b>Latitudinal extent: </b>4.7467 to 4.7480</p><p><b>Longitudinal extent: </b>116.9693 to 116.9706</p><p><b>Taxonomic coverage: </b><br> All taxon names are validated against the GBIF backbone taxonomy. If a dataset uses a synonym, the accepted usage is shown followed by the dataset usage in brackets. Taxa that cannot be validated, including new species and other unknown taxa, morphospecies, functional groups and taxonomic levels not used in the GBIF backbone are shown in square brackets.</p><div> -  Plantae <br> -  -  Tracheophyta <br> -  -  -  Magnoliopsida <br> -  -  -  -  Ericales <br> -  -  -  -  -  Ebenaceae <br> -  -  -  -  -  -  <i>Diospyros</i> <br> -  -  -  -  -  -  -  <i>Diospyros pilosanthera</i> <br> -  -  -  -  -  Sapotaceae <br> -  -  -  -  -  -  <i>Payena</i> <br> -  -  -  -  -  -  -  <i>Payena microphylla</i> <br> -  -  -  -  Laurales <br> -  -  -  -  -  Lauraceae <br> -  -  -  -  -  -  <i>Eusideroxylon</i> <br> -  -  -  -  -  -  -  <i>Eusideroxylon zwageri</i> <br> -  -  -  -  Malvales <br> -  -  -  -  -  Dipterocarpaceae <br> -  -  -  -  -  -  <i>Dryobalanops</i> <br> -  -  -  -  -  -  -  <i>Dryobalanops lanceolata</i> <br> -  -  -  -  -  -  <i>Shorea</i> <br> -  -  -  -  -  -  -  <i>Shorea faguetiana</i> <br> -  -  -  -  Magnoliales <br> -  -  -  -  -  Annonaceae <br> -  -  -  -  -  -  <i>Maasia</i> <br> -  -  -  -  -  -  -  <i>Maasia sumatrana</i> <br> -  -  -  -  Sapindales <br> -  -  -  -  -  Meliaceae <br> -  -  -  -  -  -  <i>Aglaia</i> <br> -  -  -  -  -  -  -  <i>Aglaia odoratissima</i> <br> -  -  -  -  -  -  -  <i>Aglaia silvestris</i> <br></div><p></p>
A Randomized Study of the Site for Growth Factor Injection for Patients Undergoing Autologous Stem Cell Transplantation
ClinicalTrials.gov study NCT00646763. IPD Sharing: Not stated. Countries: 1. Publications: 0.
BOREAS TE-02 Stem Growth & Sapwood Data
The BOREAS TE-02 team collected several data sets in support of its efforts to characterize and interpret information on the respiration of the foliage, roots, and wood of boreal vegetation. This data set contains measurements of growth and sapwood of the stems conducted in the NSA during the growing season of 1994.
Molecular pathways reflecting poor intrauterine growth are imprinted in Wharton’s jelly derived Mesenchymal Stem Cells [Set2]
GEO Series GSE52842. Homo sapiens. 12 samples. Type: Expression profiling by array.
Molecular pathways reflecting poor intrauterine growth are imprinted in Wharton’s jelly derived Mesenchymal Stem Cells [set3]
GEO Series GSE52843. Homo sapiens. 24 samples. Type: Expression profiling by array.
Molecular pathways reflecting poor intrauterine growth are imprinted in Wharton’s jelly derived Mesenchymal Stem Cells [set1]
GEO Series GSE52841. Homo sapiens. 8 samples. Type: Expression profiling by array.
Pyruvate and recombinant human basic fibroblast growth factor rescue the pluripotency and metabolism of bovine embryonic stem cells on low-density feeder layers
GEO Series GSE213631. Bos taurus. 12 samples. Type: Expression profiling by high throughput sequencing.
Chemically defined and growth factor-free system for highly efficient endoderm induction of human pluripotent stem cells [RNA-seq]
GEO Series GSE274488. Homo sapiens. 15 samples. Type: Expression profiling by high throughput sequencing.
KMT9 controls growth and stemness of colorectal cancer [ChIP-seq]
GEO Series GSE150502. Mus musculus. 4 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Rice stem at early stage growth: Control vs.Chromosome segment substitution lines (SLs) from a cross the Koshihikari (japonica) and Habataki (indica)
GEO Series GSE35762. Oryza sativa; Oryza sativa Japonica Group. 9 samples. Type: Expression profiling by array.
Chronic hypoxia remodels the tumor microenvironment to support glioma stem cell growth [scRNAseq+Multiome]
GEO Series GSE210736. Homo sapiens. 39 samples. Type: Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing.
Ganglioside GD2 identifies Breast Cancer Stem Cells: Targeting GD3 Synthase Inhibits GD2 Expression and Tumor Growth
GEO Series GSE36643. Homo sapiens. 12 samples. Type: Expression profiling by array.
MCL‑1 is essential for hair growth by preventing BAK‑mediated apoptosis of activated adult hair follicle stem cells
GEO Series GSE256251. Mus musculus. 6 samples. Type: Expression profiling by high throughput sequencing.
Imp/IGF2BP levels modulate individual neural stem cell growth and division through myc mRNA stability
GEO Series GSE140704. Drosophila melanogaster. 6 samples. Type: Expression profiling by high throughput sequencing.
Drosophila AHR limits tumor growth and stem cell proliferation in the intestine
GEO Series GSE229388. Drosophila melanogaster. 28 samples. Type: Expression profiling by high throughput sequencing.
KMT9 controls growth and stemness of colorectal cancer [single-cell RNA-seq]
GEO Series GSE150505. Mus musculus. 16 samples. Type: Expression profiling by high throughput sequencing.
Genome-wide expression profiling of Neofusicoccum parvum virulence factors in response to different growth substrates in vitro and during an interaction time course with grapevine stems
GEO Series GSE85079. Vitis vinifera; Neofusicoccum parvum. 30 samples. Type: Expression profiling by high throughput sequencing.
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.