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Dataset results
19 results for “replicate samples”
Replication data for: "The hapax / type ratio: an indicator of minimally required sample size in productivity studies?"
<p>The dataset accompanies the scientific article "The hapax / type ratio: an indicator of minimally required sample size in productivity studies?" and can be used to reproduce the findings presented in this article. This dataset consists of two components, namely (i) the corpus data involving the Dutch semi-copular verb "raken" and (ii) an R analysis script to reproduce the computational steps.</p>
Soil physical and chemical properties based on genetic horizon from 4 replicate pits placed around the replicate LTER control plots sampled in 1988 and 1989.
Dataset contains the following soil properties for each genetic horizon - site, Soil pit, upper and lower boundary (cm), Mg meq/100gm, Ca meq/100gm, K meq/100gm, CEC meq/100gm, pH, %C, %sand, %silt, %clay, Total %N, Total %P, % organic matter, Mn meq/100gm, Available-P ppm, %CO3, bulk density gm/cm3, Volume wt gm/m2.
Replication Data for: Continuously moving table MRI with golden angle radial sampling
<p>Continuously moving table (CMT) MRI is a high throughput technique that has multiple applications in whole-body imaging. In this work, CMT MRI based on golden angle (GA, 111.246° azimuthal step) radial sampling is developed at 3 Tesla (T), with the goal of increased flexibility in image reconstruction using arbitrary profile groupings.</p>
Salivary steroid collection in children under conditions replicating home sampling
<p>This is supplementary materials for the article "Salivary steroid collection in children under conditions replicating home sampling"</p>
Taxon sampling and inferred community phylogenies: R replication code and data.
<p>1 ) Code for simulating community phylogenies:</p> <p>community_simulations_creation.R</p> <p>[taxon].gene</p> <p>[taxon].phy</p> <p>[taxon].RAxML_bestTree.tre</p> <p>[taxon].Simulate.A.Community.pl</p> <p>[taxon].Simulate.B.Community.pl</p> <p>[taxon].Simulate.C.Community.pl</p> <p>[taxon].Simulate.D.Community.pl</p> <p> </p> <p>2) R code for creating and comparing phylogenetic diversity metrics:</p> <p>simulated_metric_calculation_and_comparison.R</p> <p>empirical_metric_calculation_and_comparison.R</p> <p> </p> <p>3) R code and data for statistical analyses:</p> <p>simulated_data_analysis.R</p> <p>empirical_data_analysis.R</p> <p>simulated_interval_individual_lme_data.csv</p> <p>simulated_summary_interval_individual_lme_data.csv</p> <p>empirical_interval_individual_lme_data.csv</p> <p>empirical_summary_interval_lme_data.csv</p> <p> </p>
Supplementary Table 1. Raw data of egg quality parameters for 990 egg samples with ATOL (Animal Trait Ontology for Livestock) descriptors, as function of hen age, pen no. and genotype in 15 replicates.
<p>Data table of egg quality parameters</p>
Replication package for: Subjective Models of the Macroeconomy: Evidence From Experts and Representative Samples
<p><strong>This repository contains the replication scripts and data of the analyses of the paper: </strong></p> <p>Andre, P., Pizzinelli, C., Roth, C., & Wohlfart, J. (2022). Subjective Models of the Macroeconomy: Evidence From Experts and Representative Samples. <em>Review of Economic Studies</em>.</p>
Highly-replicated soil, topography and vegetation sampling across an old-growth tropical rain forest landscape
<p class="MsoNormal">Here we present data from highly-replicated sampling of soil, topography, and vegetation across an old-growth tropical rainforest landscape at the La Selva Biological Station, Costa Rica. Samples were taken at 100 x 50 m spacing using an existing surveyed grid system. The 573-ha sample area spanned a variety of soil, topographic and vegetation conditions, including flat terraces on old alluvial soil, ridge tops and steep slopes on residual soil, riparian habitats and fresh-water swamps. At each of 1170 grid points we established a circular 0.01 ha quadrat (radius = 5.64 m). We sampled soil at 30-50 cm depth with a soil augur and collected a sample for subsequent analysis. We measured slope angle with a clinometer and slope direction with a compass. We measured stem diameter to <u>+</u>1 mm with a synthetic fabric diameter tape for all stems <u>></u>10 cm diameter (N= 5236) at 1.3 m from the ground or to ~ 6 m height if there were basal irregularities. We classified stems to life form (tree, palm, liana), and identified all trees and palms to species or morphospecies (N=266; lianas were not identified to species). We collected vouchers from all trees that we could not positively identify in the field (N=920).</p> <p class="MsoNormal">As a whole the data set presents an integrated view of soil, topography and vegetation across a mesoscale old-growth tropical rain forest landscape. The data have been used to refine a reserve-wide soils map for La Selva, and for a variety of papers analyzing the interactions of soil, topography and species distributions at landscape scales (see the 10 papers listed in the Related Works section below).</p> <p class="MsoNormal">There are no restrictions at all on the use of these data, and we think they will be useful for teaching and analysis projects as well as further original research applications. The data also provide a detailed benchmark of the status of old-growth vegetation in 1993-95 for one of the most intensively studied tropical rain forest landscapes in the world. Because the data are accurately georeferenced and detailed metadata on all methods are provided, this study could be repeated at any time to assess the trajectory of vegetation changes at La Selva, particularly in relation to local disturbances and changing regional and global climates. </p>
Dataset for replication of Randomly Sampling HP-Protein Conformations: Mission Impossible?
<p>This is the dataset used for our paper into the complexity of HP-model protein folding titled "Randomly Sampling HP-Protein Conformations: Mission Impossible?".</p>
Replication Data for: Magnetic measurements on micron-size samples under high pressure using designed NV centers
<pre><em>Data description.pdf </em>describes the uploaded data. <em>Figure Data.xlsx</em> contains the data represented in the figures of the main text and supplementary information. <em>Iron.zip and MgB2.zip </em>include the raw experimental data. <em>PlotIronData.m, PlotMgB2Data.m, SimulatedIronMagneticField.m</em>, <em>SphereField.m</em>, <em>CarttoPol.m</em>, <em>PoltoCart.m </em>are Matlab codes used to process and fit the data. </pre>
Highly-replicated soil, topography and vegetation sampling across an old-growth tropical rain forest landscape
Open the record for dataset details and reuse information.
Data for replication of figures in "In situ imaging of a kleptoplastidic ciliate thin layer indicates traditional sampling underestimates oceanic mixotroph biomass", Barua et al. Communications Earth & Environment (2024).
<p>This dataset contains the relevant information needed to reproduce data plots in Figures 1-5 and Supplementary Figures 2-3 of the following manuscript.</p> <p><em><strong>In situ imaging of a kleptoplastidic ciliate thin layer indicates traditional sampling underestimates oceanic mixotroph biomass</strong></em></p> <p>Ranjoy Barua, Lisa Nyman, Buyu Guo, Matthew D. Johnson, Anvita U. Kerkar, Jiarong Hong, Adam T. Greer, John Lehrter, Malcolm McFarland, Bradley Penta, Aditya R. Nayak</p> <p>Communications Earth & Environment (2024).</p>
Replication package for: Looming Large or Seeming Small? Attitudes Towards Losses in a Representative Sample
<p>This package contains data and replication files to reproduce the results from "Looming Large or Seeming Small? Attitudes Towards Losses in a Representative Sample" by Chapman, Snowberg, Wang, and Camerer, to be published in the Review of Economic Studies. This includes 6 original survey datasets (3 general population studies, two student studies, and an expert survey), matlab code to reproduce DOSE parameter estimates, and STATA code to produce the exhibits in the paper.<br><br></p>
Replication data for: Sensitivity of bipartite network analyses to incomplete sampling and taxonomic uncertainty
<p>Simulated host-parasite communities in Llopis‐Belenguer, C., J. A. Balbuena, I. Blasco‐Costa, A. Karvonen, V. Sarabeev, and J. Jokela. 2022. Sensitivity of bipartite network analyses to incomplete sampling and taxonomic uncertainty. Ecology</p> <ul> <li>Full communities</li> </ul> <p>01_full_communities.RDS</p> <ul> <li>Resampled communities affected by host sampling completeness. From 90% to 10% of host sampling completeness every 10% steps</li> </ul> <p>02_resampled_sampling_completeness_90.RDS, </p> <p>03_resampled_sampling_completeness_80.RDS, </p> <p>04_resampled_sampling_completeness_70.RDS, </p> <p>05_resampled_sampling_completeness_60.RDS, </p> <p>06_resampled_sampling_completeness_50.RDS, </p> <p>07_resampled_sampling_completeness_40.RDS, </p> <p>08_resampled_sampling_completeness_30.RDS, </p> <p>09_resampled_sampling_completeness_20.RDS, </p> <p>10_resampled_sampling_completeness_10.RDS</p> <ul> <li>Resampled communities affected by parasite taxonomic resolution at all levels of host sampling completeness. From 90% to 10% of parasite taxonomic resolution and from 100% to 10% of host sampling completeness every 10% steps</li> </ul> <p>11_resampled_taxonomic_resolution_90_sampling_completeness_100-10.RDS, </p> <p>12_resampled_taxonomic_resolution_80_sampling_completeness_100-10.RDS, </p> <p>13_resampled_taxonomic_resolution_70_sampling_completeness_100-10.RDS, </p> <p>14_resampled_taxonomic_resolution_60_sampling_completeness_100-10.RDS, </p> <p>15_resampled_taxonomic_resolution_50_sampling_completeness_100-10.RDS, </p> <p>16_resampled_taxonomic_resolution_40_sampling_completeness_100-10.RDS, </p> <p>17_resampled_taxonomic_resolution_30_sampling_completeness_100-10.RDS, </p> <p>18_resampled_taxonomic_resolution_20_sampling_completeness_100-10.RDS, </p> <p>19_resampled_taxonomic_resolution_10_sampling_completeness_100-10.RDS</p> <p> </p>
HARV replication of the BRIC-21 Bacillus subtilis spaceflight samples
Previous spaceflight experiments using Bacillus subtilis have reported altered transcriptome profiles during spaceflight compared to matching ground samples. This study tried to replicate those transcriptome changes using High Aspect Ratio Vessels (HARVs). B. subtilis spores were grown in HARVs using the same protocol and growth conditions as the BRIC-21 spaceflight mission. RNA was extracted from the HARV samples and sequenced for differential expression analysis. HARV differentially expressed genes were then compared to the genes identified as differentially expressed in the BRIC-21 mission to access the accuracy of HARVs as a model for spaceflight experiments.
Human gastric cancer_Tumor samples_Paired normal samples_10 replicates
GEO Series GSE84787. Homo sapiens. 20 samples. Type: Expression profiling by array.
The effect of sample splitting and technical replication on mRNA-seq and sRNA-seq quantification
GEO Series GSE85806. Drosophila melanogaster. 6 samples. Type: Expression profiling by high throughput sequencing.
Culture KS Superpooled 1st replicate, initial trial run samples for metabolomics analysis, electron shuttle samples
Open the record for dataset details and reuse information.
Hippocampus replicate samples
GEO Series GSE51. Mus musculus. 4 samples. Type: Expression profiling by array.
ScienceDex guides
Understand access before you commit
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.