(G) Expression pattern of genes associated with group I and II loci (from Fig. 2E) within differentially expressed gene sets. Significance calculated by prop.test R, (***) P<0.001. (H) Venn diagram shows overlap between SOX3 binding in NPCs and GPCs. Bar graph shows expression pattern of genes continuously bound by SOX3 NPCs and GPCs. (I) Venn diagram shows overlap between SOX3 and SOX9 binding in GPCs. Bar graph shows expression pattern of genes co-bound by SOX3 and SOX9 in GPCs. (J) ChIP-seq peak graphics around the astrocyte gene Fgfbp3. ChIP-seq peaks are derived from three different experiments; SOX3 ChIPs in NPCs, SOX3 ChIPs in GPCs, SOX9 ChIPs in GPCs. Both ChIP-seq reads and called peak regions (underlying black lines) are shown for all data sets. Bar graphs shows the distribution of differentially expressed genes that are bound by all three factors. P-values (phyper, R) were calculated from the total number of protein coding genes in mm10 assembly (23´389). List of tagged entities: multiple components, Fgfbp3 (ncbigene:72514), Sox3 (uniprot:P53784), Sox9 (uniprot:Q04887), , ChIP assay (obi:OBI_0001954),ChIP-seq assay (obi:OBI_0000716),gene expression assay (bao:BAO_0002785)

The global bar graph display market is experiencing robust growth, driven by increasing demand across diverse sectors. While precise market sizing data is unavailable, a logical estimation based on typical CAGR values for similar electronic component markets suggests a 2025 market value of approximately $500 million. This growth is fueled by several key factors. The rising adoption of bar graph displays in automotive dashboards, industrial control panels, and consumer electronics enhances visibility and user experience. Advancements in display technology, such as improved brightness, resolution, and power efficiency, are further stimulating market expansion. Furthermore, the increasing integration of bar graph displays with microcontrollers and other smart devices is opening up new applications in IoT and smart home automation. However, challenges remain. The fluctuating prices of raw materials like semiconductors and the emergence of alternative display technologies, such as OLEDs, pose potential restraints. The competitive landscape is marked by a mix of established players like Kingbright, Everlight Electronics, and AkYtec, along with several regional manufacturers. These companies are focused on product innovation, cost optimization, and meeting the diverse needs of various industries. Future growth will hinge on continuous technological improvements, strategic partnerships, and adapting to evolving market demands, particularly regarding miniaturization, energy efficiency, and customized solutions. The forecast period (2025-2033) anticipates continued market expansion, possibly reaching $1 billion by 2033, though this projection is predicated on sustained technological innovation and stable economic conditions.

The Medical Expenditure Panel Survey (MEPS) Household Component collects data on all members of sample households from selected communities across the United States. With the MEPS-HC Data Tools, users can explore trends and cross-sectional bar charts for nationally representative estimates of household medical utilization and expenditures, demographic and socioeconomic characteristics, health insurance coverage, accessibility and quality of care, treated medical conditions, and prescribed medicine purchases.

(G) Proline concentratio in heart tissue at P200 (# below detection limit Bar graph represent mean±S. List of tagged entities: proline (CHEBI:26271), LOC108950628 (ncbigene:108950628), concentration profile (bao:BAO_0002769), GRAC

The "Watershed" feature layer is a component of the "Pollinator Restoration 2022" map which is itself a component of the "USFWS Pollinator Restoration Projects Mapper" which is a dashboard showing management projects that benefit pollinators across the Western U.S. See below for a description of the "USFWS Pollinator Restoration Projects Mapper."The "USFWS Pollinator Restoration Projects Mapper" is under development by the Region 1 (Pacific Northwest) USFWS Science Applications program. Completion is anticipated by Winter 2023. Contact: Alan Yanahan (alan_yanahan@fws.gov).The purpose of the "USFWS Pollinator Restoration Projects Mapper" is to inform future pollinator conservation efforts by providing a way to identify geographic areas where additional pollinator conservation may be needed.The "USFWS Pollinator Restoration Projects Mapper" maps the locations of where on-the-ground projects that are beneficial to pollinators have taken place. Its primary focus is projects on public lands. The majority of records included in this tool come from internal databases for the USFWS, US Forest Service, and the Bureau of Land Management, which were queried for relevant projects. The tool is not intended as a database for reporting projects to. Rather, the tool synthesizes records from existing databases.The geographic scope of the tool includes the western states of Arizona, California, Idaho, Nevada, Oregon, Utah, and Washington.When possible, the tool includes projects from 2014 to the present. This timespan was chosen because it matches the timespan of the USFWS Monarch Conservation Database For consistency, the tool groups pollinator beneficial projects into the following four activity types:Restoration: Actions taken after a disturbance, such as planting native forbs after a wildfireMaintenance: Actions taken outside the growing season that maintain habitat quality through regular disturbance using manual or chemical means. Examples: mowing, spraying weeds, prescribed fireConservation: Acquiring land or creating easements that are managed for biodiversityEnhancement: Actions that increase forb diversity and nectar resources, such as planting native milkweedThe tool includes a map that aggregates project point locations within 49 square mile sized hexagon grid cells. Users can click on individual grid cells to activate a pop-up menu to cycle through the projects that occurred within that grid cell. Information for each project include, but are not limited to, acreage, type of activity (i.e., restoration, maintenance, conservation, enhancement), data source, and lead organization.The tool also includes a dashboard to view bar graphs and pie charts that display project acreages and project number based on location (i.e., state), project activity type (i.e., restoration, maintenance, conservation, enhancement), data source, and management type. Data can be filtered by data source, activity type, and year. Data filtering will update the map, bar graphs, and pie charts.

Expression of neuronal nitric oxide synthase (NOS1) mRNA (F Bar graph represent mean±SD Statistics: one-way ANOVA followed by Tukey"s test for Significant differences between groups (p value) are indicated on graphs. List of tagged entities: Nos1 (ncbigene:18125), Bcs1l (ncbigene:66821), LOC108950628 (ncbigene:108950628), gene expression assay (bao:BAO_0002785),protein expression profiling (obi:OBI_0000615), GRAC

Data for Figure SPM.4 from the Summary for Policymakers (SPM) of the Working Group I (WGI) Contribution to the Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report (AR6).

Figure SPM.4 panel a shows global emissions projections for CO2 and a set of key non-CO2 climate drivers, for the core set of five IPCC AR6 scenarios. Figure SPM.4 panel b shows attributed warming in 2081-2100 relative to 1850-1900 for total anthropogenic, CO2, other greenhouse gases, and other anthropogenic forcings for five Shared Socio-economic Pathway (SSP) scenarios.

How to cite this dataset

When citing this dataset, please include both the data citation below (under 'Citable as') and the following citation for the report component from which the figure originates:

IPCC, 2021: Summary for Policymakers. In: Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 3−32, doi:10.1017/9781009157896.001.

Figure subpanels

The figure has two panels, with data provided for all panels in subdirectories named panel_a and panel_b.

List of data provided

This dataset contains:

• Projected emissions from 2015 to 2100 for the five scenarios of the AR6 WGI core scenario set (SSP1-1.9, SSP1-2.6, SSP2-4.5, SSP3-7.0, SSP5-8.5)
• Projected warming for all anthropogenic forcers, CO2 only, non-CO2 greenhouse gases (GHGs) only, and other anthropogenic components for 2081-2100 relative to 1850-1900, for SSP1-1.9, SSP1-2.6, SSP2-4.5, SSP3-7.0 and SSP5-8.5.

The five illustrative SSP (Shared Socio-economic Pathway) scenarios are described in Box SPM.1 of the Summary for Policymakers and Section 1.6.1.1 of Chapter 1.

Data provided in relation to figure

Panel a:

The first column includes the years, while the next columns include the data per scenario and per climate forcer for the line graphs.

• Data file: Carbon_dioxide_Gt_CO2_yr.csv. relates to Carbon dioxide emissions panel
• Data file: Methane_Mt_CO2_yr.csv. relates to Methane emissions panel
• Data file: Nitrous_oxide_Mt N2O_yr.csv. relates to Nitrous oxide emissions panel

• Data file: Sulfur_dioxide_Mt SO2_yr.csv. relates to Sulfur dioxide emissions panel

  Panel b:

• Data file: ts_warming_ranges_1850-1900_base_panel_b.csv. [Rows 2 to 5 relate to the first bar chart (cyan). Rows 6 to 9 relate to the second bar chart (blue). Rows 10 to 13 relate to the third bar chart (orange). Rows 14 to 17 relate to the fourth bar chart (red). Rows 18 to 21 relate to the fifth bar chart (brown).].

Sources of additional information

The following weblink are provided in the Related Documents section of this catalogue record: - Link to the report webpage, which includes the report component containing the figure (Summary for Policymakers) and the Supplementary Material for Chapter 1, which contains details on the input data used in Table 1.SM.1..(Cross-Chapter Box 1.4, Figure 2). - Link to related publication for input data used in panel a.

(E) cristae thickness, and (F) average distance between cristae in mitochondria (n=3mice/group) Bar graphs represent mean±SD. Statistics for graph One-way ANOVA followed by Tukey"s. List of tagged entities: mitochondrial crista (go:GO:0030061), Bcs1l (ncbigene:66821), LOC108950628 (ncbigene:108950628), cell phenotype (bao:BAO_0002542), GRAC

(C) Average cross-sectional area of mitochondrio (n=3mice/group Bar graphs represent mean±SD. Statistics for graph One-way ANOVA followed by Tukey"s. List of tagged entities: mitochondrion (go:GO:0005739), Bcs1l (ncbigene:66821), LOC108950628 (ncbigene:108950628), morphology assessment method (bao:BAO_0000448), GRAC

E-F. Echocardiography data (n=4-6/group) showing (E) ejection fraction (EF) and fractional shortening (FS). (F) Systolic (LV Vol;S) and diastolic (LV Vol;D) left ventricle volume in mice Bar graphs represent mean±SD Statistics One-way ANOVA followed by unpaired t-test with Welch"s correction for graph E. List of tagged entities: heart (uberon:UBERON:0000948), heart left ventricle (uberon:UBERON:0002084), Bcs1l (ncbigene:66821), LOC108950628 (ncbigene:108950628), Echocardiography

(C) MEF cell lines lacking the indicated genes were treated for 12h with 50 nM BafA1 fixed and immunolabeled for PC1 (568, red) and LAMP1 (488, green). CST was added where indicated. Scale bar = 10 µm. Inset panels show magnification of the boxed area. Bar graph on the right shows quantification of LAMP1 vesicles positive for PC1, expressed as % of total lysosomes (mean +/- SEM), n=8, 8, 12, 8, 8, 8 cells respectively; 3 independent experiments. One-way ANOVA with Dunnett's multiple comparisons test performed and P value adjusted for multiple comparisons. *** P<0.0001.. List of tagged entities: Lamp1 (uniprot:P11438), Plod3 (uniprot:Q9R0E1), lysosome (go:GO:0005764), vesicle (go:GO:0031982), castanospermine (CHEBI:27860), Calr (ncbigene:12317), Canx (ncbigene:12330), Pdia3 (ncbigene:14827), Uggt1 (ncbigene:320011), immunolabeling method (bao:BAO_0002425),localization assay (bao:BAO_0002196)

(A) Bar graph shows quantification of lysosomes (LAMP1+) containing PC1 expressed as % of lysosomes (mean +/- SEM) in Saos2 cells mock transfected or transfected with SiRNA against the indicated genes, treated with 100 nM BafA1 for 9h. n=18 cells/treatment; 3 independent experiments. One-way ANOVA (P<0.0001) with Dunnett's multiple comparisons test performed, ** P<0.005, *** P<0.0001.. List of tagged entities: LAMP1 (uniprot:P11279), PCOLCE (uniprot:Q15113), lysosome (go:GO:0005764), CALR (ncbigene:811), CANX (ncbigene:821), DNAJB11 (ncbigene:51726), HSP90B1 (ncbigene:7184), HSPA5 (ncbigene:3309), SERPINH1 (ncbigene:871), UGGT1 (ncbigene:56886), protein expression profiling (obi:OBI_0000615)

H. n-Propyl gallate-sensitive AOX mediated cI and cII-linked state 3 respiration (n=7/group, Mann-Whitney U test) Bar graphs represent mean±SD. Statistics: one-way ANOVA followed by Tukey"s test. Significant differences between groups (p value) are indicated on g. List of tagged entities: LOC108950628 (uniprot:A0A1W5BML8), n-propyl gallate (CHEBI:10607), Bcs1l (ncbigene:66821), enzyme activity assay (bao:BAO_0002994)

B. Significantly altered metabolites (FDR<0.2; P<0.05, n=5/group) in liver tissue of GRAC (red) and GROX (green) mice Bar graph represent mean±S Statistics for graph one-way ANOVA followed by Tukey"s. List of tagged entities: 6-phosphogluconic acid (CHEBI:40282), Acetyl CoA (CHEBI:2408), Adenylosuccinic acid (CHEBI:39869), Betaine (CHEBI:3073), NAD+ (CHEBI:7422), Ribose-1-phosphate (CHEBI:45429), (S)-S-adenosyl-L-methionine (CHEBI:33442), adenosine (CHEBI:16335), alpha-D-fructofuranose 1,6-bisphosphate (CHEBI:40595), alpha-D-galactose 1-phosphate (CHEBI:17973), betaine aldehyde (CHEBI:15710), cis-aconitic acid (CHEBI:32805), citric acid (CHEBI:30769), cystathionine (CHEBI:17755), D-glucopyranose 1-phosphate (CHEBI:16077), D-glucose 6-phosphate (CHEBI:14314), dihydroxyacetone phosphate (CHEBI:16108), fructose 1-phosphate (CHEBI:78737), fructose 6-phosphate (CHEBI:88003), fumaric acid (CHEBI:18012), glutamic acid (CHEBI:18237), glyceraldehyde 3-phosphate (CHEBI:17138), glycine (CHEBI:15428), guanosine (CHEBI:16750), histidine (CHEBI:27570), lysine (CHEBI:25094), malic acid (CHEBI:6650), NADH (CHEBI:16908), putrescine (CHEBI:17148), serine (CHEBI:17822), sn-glycerol 3-phosphate (CHEBI:15978), threonine (CHEBI:26986), LOC108950628 (ncbigene:108950628), metabolite profiling (obi:OBI_0000366), GRAC

H, I. 24 h excretion of (H) albumin (I) creatinine in urine at P200 (n=4/group) Bar graphs represent mean±SD Statistics: one-way ANOVA followed by Tukey"s tes and Mann-Whitney U tests (for graph I). List of tagged entities: creatinine (CHEBI:16737), Alb (uniprot:P07724), Bcs1l (ncbigene:66821), LOC108950628 (ncbigene:108950628), biochemical phenotype (bao:BAO_0170003)

Indirect calorimetric measurement (n=10/group) of (H) heat productio at P77 Bar graphs represent mean±SD The dat were analyzed using Kruskal-Wallis and Mann-Whitney U tests for selected comparison. Significant differences between groups (p value) are indicated on graphs. List of tagged entities: Mus musculus (taxonomy:10090), Bcs1l (ncbigene:66821), LOC108950628 (ncbigene:108950628), isothermal titration calorimetry (bao:BAO_0000428)

J, K. Liver enzymes (J) alanine aminotransferase (ALT) and (K) alkaline phosphatase (ALP) in plasma at P200 (n=8/group) Bar graphs represent mean±SD Statistics: one-way ANOVA followed by Tukey". List of tagged entities: Alpi (uniprot:Q0VD75), Gpt2 (uniprot:Q8BGT5), Bcs1l (ncbigene:66821), LOC108950628 (ncbigene:108950628), enzyme activity assay (bao:BAO_0002994)