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opencc-ncMay 2017View details →

Regional Weights Table by Sector

This paper is an intermediate result from the work for "Estimating Economic Damage from Climate Change in the United States". This tables contains the set of "weights" used to aggregated impacts across regions.  These weights are roughly equivalent to the baseline quantity available to be affected in each sector, during the baseline period, 2000 - 2010. The file contains a row for the national weights, rows for each NCA region, and for each state.  Each column is a sector as named in the first header row, with units defined in the second header row. Additional sector-specific notes are below: Crime: We assumed that crime rates in unobserved counties were equal to the average of crime rates in observed counties. Mortality: Mortality weights are the age-specific populations.  The population counts for age-based mortality and the total mortality weights won't add up, because they are from different years.  Age-based population is from an average of 1999 - 2010, from the same dataset as the age-based mortality rates.  On the other hand, total mortality weights use 2010 census data. We assumed that the portion of population in each age cohort for unobserved counties is the same as the average of observed counties. This data is provided for non-commercial research and educational purposes.

opencc-by-4.0Sep 2024View details →

Supplementary File 13: Tables of estimates and Forest plots of pairwise comparisons from original studies for Subgroups of Primary Outcomes

Supplementary File #13 for Cochrane Review entitled: "Non-invasive respiratory support in preterm infants as primary mode: a network meta-analysis"

opencc-by-4.0Jul 2024View details →

JuncBASE splicing tables from Liang et al. of U2AF1-associated splicing

Data associated with Liang et al. "U2AF1 S34F enhances tumorigenic potential of lung cells by exhibiting synergy with KRAS mutation and altering response to environmental stress" Data S1. Zipped archive of JuncBASE tables for HBEC3kt clone 2. Related to Figures 2A-E. Data S2. Zipped archive of JuncBASE tables for TCGA lung ADC smoker splicing analysis 2. Related to Figure 4A.

opencc-by-4.0Nov 2024View details →

Supplemental tables for 'Pan-microalgal dark proteome mapping via interpretable deep learning and synthetic chimeras'

Distinguishing genuine microbial proteins from contaminants remains a major bottleneck in genomics, particularly for environmental and non-model organisms where conventional homology-based tools are slow, resource-intensive, and leave large fractions of the "dark proteome" unclassified. LA4SR offers a scalable, interpretable framework that classifies algal and bacterial proteins directly from translated sequence data, achieving near-complete recall while accelerating inference by ~ 10,000-fold relative to BLASTP. By revealing that internal sequence features alone can drive robust classification, LA4SR bypasses the need for complete gene models or perfect annotations—opening new opportunities for analyzing complex microbial communities and metagenomes. Interpretability methods further link emergent amino acid signatures to evolutionary and ecological features, highlighting the potential of language models not only to accelerate genomics workflows but also to uncover new biological insights.   Table S1 | External spreadsheet. This spreadsheet contains LA4SR performance metrics, technical performance estimations, and BLAST results and runtimes of genomes comprising the algal training data. Table S2 | External spreadsheet. Captum attributions for 100 sequences each of algal and bacterial origin obtained using the LayerIntegratedGradients function. Table S3 | External spreadsheet. Influential motifs found with the DeepMotifMinerPro software introduced in this work (see Data S3). Table S4 | External spreadsheet. LA4SR and Diamond BLAST results for data from new assemblies from seen species (Fig. S7), contaminated assemblies from unseen genera (Fig. S7), and clean assemblies from unseen genera (Fig. 8). For the LA4SR results for genome assemblies from unseen genera, the genomes were published after the model was trained, and the genera shown were not included in the training dataset. Newly sequenced genomes uploaded to NCBI SRA accession SUB14799921.

Supplementary tables for the article "LIBS and XRF for the elemental analysis of aquatic organisms"

Supplementary tables with full analytical results (Russian and English versions)

Table 8 for the Study: "Correlation Study: Triggering and Magnitude of Earthquakes in Italy (≥M4.3) in Relation to the Positions and Gravitational Forces of the Sun, Moon, and Planets Relative to Earth."

Summary distribution and probability graphs for the study: "Correlation Study: Triggering and Magnitude of Earthquakes in Italy (≥M4.3) in Relation to the Positions and Gravitational Forces of the Sun, Moon, and Planets Relative to Earth". Summary distribution and probability of the three σFR indices (parameters A, B and % Alert Time) of the Hypothesis 2 for all 200 earthquakes, for Section 3.2.2.

Table 6 for the Study: "Correlation Study: Triggering and Magnitude of Earthquakes in Italy (≥M4.3) in Relation to the Positions and Gravitational Forces of the Sun, Moon, and Planets Relative to Earth."

Summary Excel tables for the study: "Correlation Study: Triggering and Magnitude of Earthquakes in Italy (≥M4.3) in Relation to the Positions and Gravitational Forces of the Sun, Moon, and Planets Relative to Earth". Results of the first hypothesis, for both the sample of 200 and the 63 earthquakes that occurred after 1988, for Section 3.1.

Table 7 for the Study: "Correlation Study: Triggering and Magnitude of Earthquakes in Italy (≥M4.3) in Relation to the Positions and Gravitational Forces of the Sun, Moon, and Planets Relative to Earth."

Summary graphs for the study: "Correlation Study: Triggering and Magnitude of Earthquakes in Italy (≥M4.3) in Relation to the Positions and Gravitational Forces of the Sun, Moon, and Planets Relative to Earth". Data distributions of the Hypothesis 2, with the R² regression coefficients of the three σFR values and indices (parameters A, B and % Alert Time) of both the 200 earthquakes and the 63 earthquakes after 1988, for Section 3.2.1.The R² regression coefficients of each curve are calculated in the Excel files on the 2 Drives: https://docs.google.com/spreadsheets/d/17UGHZlvZ2N-g6TOzgqpIe248_IitBmka8DbGWsv-lKQ/edit?usp=sharing, for the 200 earthquakes.https://docs.google.com/spreadsheets/d/1Pyd4wZxZrq6G76nM2SwHYBBjbPZz7uM8GeO7PXG7obU/edit?usp=sharing, for the 63 earthquakes after 1988.

Table 9 for the Study: "Correlation Study: Triggering and Magnitude of Earthquakes in Italy (≥M4.3) in Relation to the Positions and Gravitational Forces of the Sun, Moon, and Planets Relative to Earth."

Overview of the 200 analyzed earthquakes encompassing values and indices for σFR Parameters A, B, and the percentile of Alert Time across the three Analysis Lines, for Section 3.2.6.It contains 1 Excel calculation file, consisting of 3 excel sheet for each of the 3 lines of analysis, for both the 200 earthquakes since 1600 and for the 63 earthquakes that occurred after 1988.

Supplementary tables for Quartet DNA manuscript

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Offset-mode CT scan of an apple using table-top PHYWE scanner

This is an X-ray dataset from a table-top PHYWE instrument recorded at the CINEMAX Summer School on 3D Imaging, August 2021, Fuglsang Manor, Lolland, Denmark.The scanner was operated in offset mode, ie the centre-of-rotation was deliberately moved to the side to enable a larger field of view to image an object larger than the instrument's normal field of view, using a 360 degree scan. The object scanned is an apple collected in the Fuglsang Manor garden.The data contains, in the raw/ folder the raw projections and in the reconstruction/ folder the reconstructed slices computed by the instrument's own software.  These reconstructed slices do not contain the full apple and also shows double illumination from the offset scan geometry.The file settings.cto contain all required geometrical information to set up the geometry for reconstruction using other software.

2023 Shasta Longo UNR MS Thesis Appendix Tables (A6, A7, and A8)

This dataset contains appendix tables from the Fall 2023 MS Thesis titled "A Study on Magmatic Diversity: Determining  the Eocene Magmatic Petrogenesis of Swales  Mountain, NV" by Shasta Longo at the University of Nevada, Reno. Descriptions for each table below:A6. – Standards (a) and Original Data (b) from Microprobe Amphibole Analyses A7. – Zircon Texture classification and abundancesA8. – Zircon LA-ICP–MS Data

opennotspecifiedJan 2012View details →

Figure 8. Rooted Bayesian trees from molecular analyses, Table 3 in The systematics of the dusky striped squirrel, Funambulus sublineatus (Waterhouse, 1838) (Rodentia: Sciuridae) and its relationships to Layard's squirrel, Funambulus layardi Blyth, 1849

Figure 8. Rooted Bayesian trees from molecular analyses, Table 3 identifies the specimens. Nodal support values in each phylogenetic tree (BI/ML/MP/NJ) are given on branches.

opennotspecifiedAug 2021View details →

Figure 12. Data from Table 1 in The 'twins' and the 'bachelor', new potential synapomorphies inside the Cholevinae (Coleoptera: Leiodidae)

Figure 12. Data from Table 1 mapped on taxonomic diagrams of the subfamily Cholevinae. A, the 'traditional' division of the Cholevinae (based on Newton, 1998). B, phylogenetic analysis of the Cholevinae [based on Antunes-Carvalho et al. (2019: fig. 25) – in our figure we represent non-monophyletic taxa with a double line connection]. Taxa without an assigned symbol were not studied here. 'Anemadini' as a taxon is not represented in (B), because it was considered non-monophyletic in that study; however, its subtribes are represented. The black squares denote taxa where the features studied here were observed – 'T' denotes presence of 'twin spines' and 'B' denotes presence of a 'bachelor seta'; the open squares with a 'X' denote taxa where the features studied were not observed in the specimens analysed.

Individual Table for Tel Aviv 2017 in SimMobility MIT Preday

This table offers insights into the synthetic population of the Tel Aviv Metropolis on 2017. It relies on a diverse set of data of Israeli government officials.. Primarily designed for research purposes, it is especially intended to be utilized as input for the SimMobility MIT  demand simulator.

Table S1: Publication bias and heterogeneity test results among studies in overall and subgroup analyses

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Atmospheric Absorption Tables for AMSU-A Channels 4 through 9, RSS oxygen model

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Table of nature-based solution examples in Ireland

A compendium of examples of nature-based solutions case studies, and actions that have been implemented through various schemes and projects, for the report "Identification and assessment of best practice in nature-based solutions for climate action and ecosystem restoration in Ireland".

opennotspecifiedFeb 2023View details →

Supplementary Table S1A in A revision of the Rhinolophus hipposideros group (Chiroptera: Rhinolophidae) with definition of an additional species from the Middle East

Supplementary Table S1A. Original sequences and sequences from GenBank used in the molecular genetic analysis