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812 results for “columns”
Data collection for Tsuji et al., 2020, Microbial ecology of phototrophs in Boreal Shield lakes, Chapter 3: Biogeography and activity of chlorophototrophs in the ferruginous water columns of Boreal Shield lakes (PhD thesis)
<p>This data collection includes supplementary or raw data files related to Chapter 3 of the PhD thesis of Jackson M. Tsuji, "Biogeography and activity of chlorophototrophs in the ferruginous water columns of Boreal Shield lakes" (in "Microbial ecology of phototrophs in Boreal Shield lakes"). Specifically, the following files are included:</p> <ul> <li>ASV_table_non_rarefied_counts.tsv.gz -- non-rarefied ASV table containing 16S rRNA gene amplicon data presented in this study as raw counts. Beyond the index column and sample columns, two additional columns, "Consensus.Lineage" and "Sequence" are included in the table. These columns include the taxonomic classification of the ASV (according to Silva) and the ASV sequence, respectively.</li> <li>ASV_table_non_rarefied_percent.tsv.gz -- same as above, but the data are normalized within each sample and expressed as percentages (i.e., sum to 100%).</li> <li>ASV_table_rarefied_counts.tsv.gz -- same as "ASV_table_non_rarefied_counts.tsv.gz", except that data is rarefied to 12,000 sequences per sample. Five samples were dropped due to having <12,000 sequences.</li> <li>ASV_table_rarefied_percent.tsv.gz -- same as above, but the data are normalized within each sample and expressed as percentages (i.e., sum to 100%).</li> <li>MAG_abundances_to_unassembled_reads.tsv.gz -- table like an ASV table showing the relative abundances (expressed as percentages) of metagenome-assembled genomes within metagenomes. Aside from the index column and sample columns, additional columns are included to provide the taxonomic classification of the MAGs (based on the Genome Taxonomy Database) and the CheckM statistics of the MAGs. Relative abundances of MAGs in a metagenome are calculated as the number of mapped reads to the MAGs from the given metagenome divided by the total number of unassembled metagenome reads for that metagenome (times 100%).</li> <li>MAG_abundances_to_assembled_reads.tsv.gz -- same as above, except that relative abundances are divided by the total number of unassembled metagenome reads for that metagenome that mapped to that metagenome's assembled contigs.</li> <li>core_sample_metadata.tsv -- table of core physico-chemical and geographic metadata for the samples in this study (used to build biplots presented in the chapter). Note that "nd" means "no data available", and any measurements below detection limits have been set to 0. A limited number of values were inferred from other sampling time points -- these are noted in the table for TDFe measurements, and in addition, the light attenuation coefficient for Lake 373 in Sept. 2017 was inferred from the Sept. 2016 coefficient due to no light data being available for Sept. 2017 samples.</li> <li>metadata_descriptions.tsv -- descriptions of all metadata columns in the above file.</li> </ul> <p> </p>
Modelling plastic concentrations in sea ice and the water column
<p>Results for the last year of a 50-year simulation of the dispersion of plastics in the global ocean using the NEMO modelling framework in configuration ORCA1-LIM2. These are NetCDF. Variable names are largely self-explanatory. PLASTIC_1 to PLASTIC_3 refer to buoyant, neutrally boyant and non-buoyant plastic concentrations in water; plt1 to plt3 are the corresponding concentrations in sea ice. Data for years 1-to-49 will be made available by the authors upon request.</p>
Marble column drum, Temple of Artemis at Ephesus
"Marble column drum from the Later Temple of Artemis at Ephesus, showing a draped woman, perhaps Alcestis or Eurydike, between a youthful draped Thanatos (Death) and Hermes Psychopompos; also shown are Persephone seated, and Plouton (Hades)." ~ http://www.britishmuseum.org/research/collection_online/collection_object_details.aspx?assetId=548579001&objectId=460570&partId=1 Hellenistic Greek, about 340-320 BC From Ephesos, modern Turkey Photography and model by Thomas Flynn. Source: Objaverse 1.0 / Sketchfab
Column raiser
Source: Objaverse 1.0 / Sketchfab
Shear House Column
Ionic column capital and base from Corinth Source: Objaverse 1.0 / Sketchfab
Stairs and column game asset
Low poly game asset for using in egyptian themed game. Source: Objaverse 1.0 / Sketchfab
Stone Column
Ancient stone conumn. "More training to the God of training!" Source: Objaverse 1.0 / Sketchfab
Column
Source: Objaverse 1.0 / Sketchfab
Dravidian Column in Step well structure
Telangana, India Source: Objaverse 1.0 / Sketchfab
Column
Source: Objaverse 1.0 / Sketchfab
Data used to generate Fig2A and Patient F column of Table1
<p>The mat file consists of the data from every training and feedback session performed by patient F. This data was used to generate Figure 2A and Patient F column of Table 1.</p>
Data used to generate Fig2C and Patient B column of Table1
<p>The mat file consists of the data from every training and feedback session performed by patient G. This data was used to generate Figure 2C and Patient B column of Table 1.</p>
Data used to generate Fig2B and Patient G column of Table1
<p>The mat file consists of the data from every training and feedback session performed by patient G. This data was used to generate Figure 2B and Patient G column of Table 1.</p>
Data used to generate Fig1D and Patient W column of Table1
<p>The mat file consists of the data from every training and feedback session performed by patient W. This data was used to generate Fig1D and Patient W column of Table 1.</p>
Data used to generate Fig1A and Patient F column of Table1
<p>The mat file consists of the data from every training and feedback session performed by patient F. This data was used to generate Fig1A and Patient F column of Table 1.</p>
Data used to generate Fig1C and Patient B column of Table1
<p>The mat file consists of the data from every training and feedback session performed by patient B. This data was used to generate Fig1C and Patient B column of Table 1.</p>
Data used to generate Fig1B and Patient G column of Table1
<p>The mat file consists of the data from every training and feedback session performed by patient G. This data was used to generate Fig1B and Patient G column of Table 1.</p>
FIGURE 110. Columnitis squamata Schmidt, 1870, a in Sponges of the Guyana Shelf
FIGURE 110. Columnitis squamata Schmidt, 1870, a, habitus of RMNH Por. 9818 (scale bar = 1 cm), b–f, SEM images of the spicules, b, large style, b1, details of b, c, small style, c1, details of c, d, megaster, e, acanthostrongylaster, f, micraster/tylaster.
Synthetic Observation of Column Density Maps Derived from Cloud Factory Data via Radiative Transfer Simulations
<p>This dataset contains synthetic observation data derived from Cloud Factory data, processed through radiative transfer simulations using POLARIS. The data focuses on several star-forming regions, providing valuable insights into the evolution of filaments within these areas. The dataset is presented at three different resolutions: high (0.25 pc/pixel), medium (0.5 pc/pixel), and low (1 pc/pixel), to cater to various analytical needs. Files labeled as RA, RB, and RC correspond to three distinct regions under study. Additionally, each file is tagged with a 's' followed by a number, indicating the snapshot sequence. </p>
IMS/IASI SO2 total column and SA OD daily gridded data
<p>Datasets in support of the manuscript: https://essopenarchive.org/doi/full/10.22541/essoar.169091894.48592907 (in revision for GRL). </p><p>Daily gridded SO2 and SA OD, daytime and nighttime overpasses</p><p>Data for January 2022 (starting on 13/01): 202201_ims_daily_gridded.zip</p><p>Data for February 2022: 202202_ims_daily_gridded.zip </p>
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
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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.