cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Additional file 9: Figure S5. of Gene expression meta-analysis reveals immune response convergence on the IFNÎł-STAT1-IRF1 axis and adaptive immune resistance mechanisms in lymphoma
Creators: name: Care, Matthew
name: Westhead, David
name: Tooze, Reuben
Publisher: name: Figshare
Year: 2015
Subjects: subject: Microbiology
subject: FOS: Biological sciences
subject: Cell Biology
subject: Genetics
subject: Molecular Biology
subject: Physiology
subject: 80699 Information Systems not elsewhere classified
subject: FOS: Computer and information sciences
subject: Developmental Biology
subject: Cancer
subject: Hematology
subject: 110309 Infectious Diseases
subject: FOS: Health sciences

description: High resolution image corresponding to Fig.Â 3a. Integrated gene signature and ontology enrichments for COO-unclassified meta-profile clusters from signature and ontology term perspectives. The figure represents the hierarchical clustering of enriched gene signature and ontology terms related to the COO-unclassified meta-profile. Correlations are illustrated in heat maps on a blue (least) to red (most) scale as indicated at the top of the figure. Along the edges of the heatmap the signature terms are provided (and correspond to terms listed in Additional file 6). The FDR-corrected p value for enrichment of the signature is illustrated as a bar on either side of the heatmap, along with an indication of the type of term (signature versus ontology) and the origin of the terms as indicated in the figure. (PDF 518 kb)
Additional file 20: Figure S14. of Gene expression meta-analysis reveals immune response convergence on the IFNÎł-STAT1-IRF1 axis and adaptive immune resistance mechanisms in lymphoma
Creators: name: Care, Matthew
name: Westhead, David
name: Tooze, Reuben
Publisher: name: Figshare
Year: 2015
Subjects: subject: Medicine
subject: Microbiology
subject: FOS: Biological sciences
subject: Cell Biology
subject: Genetics
subject: Molecular Biology
subject: Immunology
subject: FOS: Clinical medicine
subject: 69999 Biological Sciences not elsewhere classified
subject: Developmental Biology
subject: 111714 Mental Health
subject: FOS: Health sciences
subject: 110309 Infectious Diseases
subject: Plant Biology

description: Relates to Fig.Â 9. IFN-responsive genes and the IFNÎł-STAT1-IRF1 axis are amongst the leading edge of highly correlated DLBCL immune response genes. Correlation curves were generated from the focus gene analysis for all 16 genes used in the polarized immune response signature by ranking genes according to median correlation, and then plotting the gene correlation rank (x-axis) against the corresponding median gene correlation (y-axis, median Rho). This illustrates both the relative strength of correlations for each focus gene and identifies a leading edge of genes with most significant correlations. The position of a set of IFN-associated genes was plotted for each focus gene context as indicated in the figure. Note only the top 2000 of 20,121 genes tested are illustrated. (PDF 145 kb)
Gahrliepia (Gahrliepia) tylana Traub and Morrow 1955
Creators: name: Nielsen, David H.
name: Robbins, Richard G.
name: Rueda, Leopoldo M.
Publisher: name: Zenodo
Year: 2021
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Arachnida
Trombidiformes
Trombiculidae
Gahrliepia
Gahrliepia tylana

description: Gahrliepia (Gahrliepia) tylana Traub and Morrow, 1955:
ORI
Gahrliepia (Gateria) tylana, Vercammen-Grandjean 1968c
Gateria (Gateria) tylana, Wen & Gui 2000
Gahrliepia tylana, Chaisiri et al. 2016; Stekolnikov 2021
description: Published as part of Nielsen, David H., Robbins, Richard G. & Rueda, Leopoldo M., 2021, Annotated world checklist of the Trombiculidae and Leeuwenhoekiidae (1758 - 2021) (Acari: Trombiculoidea), with notes on nomenclature, taxonomy, and distribution, pp. 1-243 in Zootaxa 4967 (1) on page 24, DOI: 10.11646/zootaxa.4967.1.1, http://zenodo.org/record/4745510
Additional file 1 of Different phenotypes of hypertension and associated cardiovascular and all-cause mortality: a systematic review and meta-analysis
Creators: name: Tewari, Jay
name: Qidwai, Khalid Ahmad
name: Roy, Shubhajeet
name: Saxena, Mehul
name: Rana, Anadika
name: Tewari, Ajoy
name: Tewari, Vineeta
name: Maheshwari, Anuj
Publisher: name: figshare
Year: 2024
Subjects: subject: Medicine
subject: Sociology
subject: FOS: Sociology
subject: Biological Sciences not elsewhere classified
subject: Cancer
subject: Science Policy
subject: Computational Biology

description: Additional file1 (DOCX 7 KB)
Additional file 3: Figure S11. of Gene expression meta-analysis reveals immune response convergence on the IFNÎł-STAT1-IRF1 axis and adaptive immune resistance mechanisms in lymphoma
Creators: name: Care, Matthew
name: Westhead, David
name: Tooze, Reuben
Publisher: name: Figshare
Year: 2015
Subjects: subject: Medicine
subject: Microbiology
subject: FOS: Biological sciences
subject: Cell Biology
subject: Genetics
subject: Molecular Biology
subject: Evolutionary Biology
subject: Immunology
subject: FOS: Clinical medicine
subject: Developmental Biology
subject: Cancer
subject: Hematology
subject: 110309 Infectious Diseases
subject: FOS: Health sciences
subject: Plant Biology
subject: 60506 Virology
subject: Computational Biology

description: An outline of the focus gene approach, and a high resolution image to accompany Fig.Â 8a. Upper panel: the approach within each data set with initial selection of the 80Â % most variable genes, and subsequent generation of linked matrices of gene correlation values and associated p values. Middle panel: merging of all data sets (11 data sets; data set GSE10846 subdivided by treatment type) to give gene by gene matrices of median correlations and p values. Lower panel: the selection of an individual focus gene for downstream analysis. (PDF 1375 kb)
Quantifying flare combustion efficiency using an imaging Fourier transform spectrometer
Creators: name: Lapeyre, Paule
name: Miguel, Rodrigo Brenner
name: Nagorski, Michael Christopher
name: Gagnon, Jean-Philippe
name: Chamberland, Martin
name: Turcotte, Caroline
name: Daun, Kyle J.
Publisher: name: Taylor & Francis
Year: 2024
Subjects: subject: Biophysics
subject: Biochemistry
subject: Space Science
subject: Biotechnology
subject: Environmental Sciences not elsewhere classified
subject: Chemical Sciences not elsewhere classified
subject: Ecology
subject: FOS: Biological sciences
subject: Plant Biology

description: Mid-wavelength infrared (MWIR) imaging Fourier transform spectrometers (IFTSs) are a promising technology for measuring flare combustion efficiency (CE) and destruction removal efficiency (DRE). These devices generate spectrally resolved intensity images of the flare plume, which may then be used to infer column densities of relevant species along each pixel line-of-sight. In parallel, a 2D projected velocity field may be inferred from the apparent motion of flow features between successive images. Finally, the column densities and velocity field are combined to estimate the mass flow rates for the species needed to calculate the CE or DRE. Since the MWIR IFTS can measure key carbon-containing species in the flare plume, it is possible to measure CE without knowing the fuel flow rate, which is important for fenceline measurements. This work demonstrates this approach on a laboratory heated vent, and then deploys the technique on two working flares: a combustor burning natural gas at a known rate, and a steam-assisted flare at a petrochemical refinery. Analysis of the IFTS data highlights the potential of this approach, but also areas for future development to transform this approach into a reliable technique for quantifying flare emissions. Implications: Our research is motivated by the need to assess hydrocarbon emissions from flaring, which is a critical problem of global significance. For example, recent studies have shown that methane destruction efficiency of flaring from upstream oil may be significantly lower than the commonly assumed figure of 98%; work by Plant et al.
, in particular, suggest that this discrepancy amounts to CO2 emissions from 2 to 8 million automobiles annually, considering the US alone. Similarly, the international energy agency (IEA) estimates a global flare efficiency of 92%,
which translates in 8 million tons of CH4 emitted by flares in 2020. Highlighted by these studies and supported by the World Bank
initiatives toward zero routine flaring emissions, there is an urgent need for oil and gas industry to assess their flare methane emission, and overall hydrocarbon emissions. At the very least, it is critical to identify problematic flare operating conditions and means to mitigate flare emissions. Focusing on remote quantification of plume species, the measurement technique and quantification method presented in this paper is a considerable step forward in that direction by computing combustion efficiency and key components for destruction efficiency.
Aoratothrips Priesner 1933
Creators: name: Li, Yajin
name: Li, Zhengyue
name: Zhang, Hongrui
Publisher: name: Zenodo
Year: 2018
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Insecta
Thysanoptera
Thripidae
Aoratothrips

description: Aoratothrips Priesner
(Figs. 21–26)
This genus is recorded here from China for the first time, based on the single female listed below. According to Mound (1970), the genus “may eventually be found to be a synonym of Euhydatothrips ” from Africa. Currently it is distinguished by the longer mouth cone, more strongly elevated ocellar region, and Y-shaped metafurca. Only one species, tenuis Priesner, is recognized in Aoratothrips. This remains based on a female from Bogor, Java, although in the Australian National Insect Collection, Canberra, there is one female from Thailand that is closely similar in structure and colour. In that collection there is also a slide with two damaged females and a male that were collected in northern Australia (Mound et al. 2012), but these have the fourth antennal segment largely pale instead of extensively black as in the tenuis holotype and the specimen from Thailand. There is also a further female collected in Sarawak in 2017 that is closely similar in structure but with antennal segment IV strongly shaded in the apical half, but not as black as in the holotype and female from Thailand. The specimen from China listed appears to be similar to the specimens recorded from Australia, but further collections are needed in order to assess the variation within and between populations, as it remains unclear if the available specimens represent colour variants of tenuis or new species. The following description is based on the specimen from Yunnan.
Macropterous female. Body and legs yellowish white, antennal segments I–IV white, V–VI brown; VII pale brown, VIII white (Fig. 21); head as long as wide, ocellar region slightly elevated (Fig. 24); fore wing uniformly pale. Antennae 8-segmented, III and IV with elongate forked sense cone, VIII much longer than VII. Pronotum reticulate, with prominent setae (Fig. 22). Metanotum with distinct sculptured triangle, with one pair of setae arising near anterior margin (Fig. 26). Abdominal tergites with median setae minute (Fig. 23); tergite VIII with long slender comb interrupted medially (Fig. 25); X with no dorsal split.
Specimen studied. China, Yunnan, Xishuangbanna Tropical Botanic Garden, one female from Acacia pennata [Leguminosae], in collection of Yunnan Agricultural University, Kunming.
description: Published as part of Li, Yajin, Li, Zhengyue & Zhang, Hongrui, 2018, A new Panchaetothripinae genus and species, also a newly recorded genus, from Southwestern China (Thysanoptera: Thripidae), pp. 235-242 in Zootaxa 4394 (2) on page 239, DOI: 10.11646/zootaxa.4394.2.6, http://zenodo.org/record/1197684
Use of municipal solid waste incineration (MSWI) bottom ash as a permeable subgrade material: an experimental and mechanism study
Creators: name: TIAN, Angran
name: ZHOU, Yu
name: CHEN, Yuru
name: KAN, Deming
name: LU, Yanling
name: TANG, Qiang
Publisher: name: Taylor & Francis
Year: 2024
Subjects: subject: Biophysics
subject: Biochemistry
subject: Space Science
subject: Cell Biology
subject: Biotechnology
subject: Environmental Sciences not elsewhere classified
subject: Ecology
subject: FOS: Biological sciences
subject: Biological Sciences not elsewhere classified
subject: Science Policy

description: As a traditional method of waste treatment, municipal solid waste incineration (MSWI) has become one of the main methods of urban waste treatment. However, as a byproduct of MSWI, a large amount of MSWI bottom ash is not reused in current practice. This study innovatively posits MSWI bottom ash as an eco-friendly adsorbent rather than a pollutant, exploring its potential application as a permeable subgrade material. The results reveal that MSWI bottom ash exhibits promising properties to serve as a permeable subgrade material to achieve the permeability and improve the sustainability for subgrade. Due to the arrangement of its particles, it shows excellent performance in shear strength and permeability, which are comparable to or surpass those of sandy soils. The average pore width of 14.200 nm allows heavy metal substances to be encapsulated within the matrix, significantly reducing their leachability, thereby aligning with environmental friendliness standards. Its adsorption capacity is about 6.60 mg/g, and the adsorption capacity per volume is 3.66 times and 2.04 times that of fly ash and clay, respectively. The mechanism analysis shows that the adsorption process is monolayer heterogeneous adsorption. This paper presents a novel perspective on reusing MSWI bottom ash and provides evidence supporting its effective utilization as a permeable subgrade material, offering substantial environmental benefits through enhanced adsorption ability. Municipal solid waste incineration (MSWI) is a common method for municipal solid waste treatment, while the MSWI bottom ash is often not reused. This paper explored the explores the feasibility of using MSWI bottom ash as a permeable road base material. The results show that the particle arrangement enables excellent shear strength and permeability, comparable to sandy soil. It meets safety requirements for the leaching of heavy metals and acts as an adsorbent for pollutants leaching from permeable pavements. Furthermore, the mechanisms underlying these behaviors of MSWI were confirmed by microstructural and mineralogical analyses. These indicate that MSWI bottom ash has great potential as a permeable road base material. This paper provides a clear understanding of the physical, mechanical and environmental properties of MSWI bottom ash, which can promote its reuse in practice.
Additional file 7: Figure S3. of Gene expression meta-analysis reveals immune response convergence on the IFNÎł-STAT1-IRF1 axis and adaptive immune resistance mechanisms in lymphoma
Creators: name: Care, Matthew
name: Westhead, David
name: Tooze, Reuben
Publisher: name: Figshare
Year: 2015
Subjects: subject: Microbiology
subject: FOS: Biological sciences
subject: Cell Biology
subject: Genetics
subject: Molecular Biology
subject: Physiology
subject: 80699 Information Systems not elsewhere classified
subject: FOS: Computer and information sciences
subject: Developmental Biology
subject: Cancer
subject: Hematology
subject: 110309 Infectious Diseases
subject: FOS: Health sciences

description: High resolution image corresponding to Fig.Â 2a. Integrated gene signature and ontology enrichments for COO-classified meta-profile clusters from signature and ontology term perspectives. The figure represents the hierarchical clustering of enriched gene signature and ontology terms related to the COO-classified meta-profile. Correlations are illustrated in heat maps on a blue (least) to red (most) scale as indicated at the top of the figure. Along the edges of the heatmap the signature terms are provided (and correspond to terms listed in Additional file 6). The FDR-corrected p value for enrichment of the signature is illustrated as a bar on either side of the heatmap, along with an indication of the type of term (signature versus ontology) and the origin of the terms as indicated in the figure. (PDF 283 kb)
Additional file 1 of SARS-CoV-2 membrane protein induces neurodegeneration via affecting Golgi-mitochondria interaction
Creators: name: Wang, Fang
name: Han, Hailong
name: Wang, Caifang
name: Wang, Jingfei
name: Peng, Yanni
name: Chen, Ye
name: He, Yaohui
name: Deng, Zhouyang
name: Li, Fang
name: Rong, Yikang
name: Wang, Danling
name: Liu, Wen
name: Chen, Hualan
name: Zhang, Zhuohua
Publisher: name: figshare
Year: 2024
Subjects: subject: Biophysics
subject: Biochemistry
subject: Cell Biology
subject: Genetics
subject: FOS: Biological sciences
subject: Molecular Biology
subject: Neuroscience
subject: Physiology
subject: Immunology
subject: FOS: Clinical medicine

description: Additional file 1. Figure S1. Expression of SARS-CoV-2 structural and accessory proteins in Drosophila. Figure S2. Cell death and mitochondrial damage in Drosophila muscles caused by M expression show sex differences. Figure S3. p35 and DIAP1 inhibits SARS-CoV-2 M induced cell death in Drosophila. Figure S4. Expression of SARS-CoV-2 N does not induce neuronal cell death in primary neuron. Figure S5. TEM analysis of lung and turbinate tissues of minks infected with SARS-CoV-2 virus. Figure S6. Expression of either SARS-CoV-2 M or orf6 impairs mitochondria in muscle tissue. Figure S7. Expression of SARS-CoV-2 N does not induce neurodegeneration in hippocampus, unlike M. Figure S8. Expression of SARS-CoV-2 M facilitates Aβ plaque compaction in 5×FAD mice. Figure S9. RNAseq analysis of the dissected fly muscles that specifically expressed M. Figure S10. SARS-CoV-2 M interactome in HEK293 cells. Figure S11. Inhibition of mitochondrial fragmentation unlikely restores mitochondrial function impaired by M. Figure S12. PI4KIIIβ inhibitor PIK-93 treatment has little impact on normal control neurons.
Additional file 13: Figure S8. of Gene expression meta-analysis reveals immune response convergence on the IFNÎł-STAT1-IRF1 axis and adaptive immune resistance mechanisms in lymphoma
Creators: name: Care, Matthew
name: Westhead, David
name: Tooze, Reuben
Publisher: name: Figshare
Year: 2015
Subjects: subject: Medicine
subject: Microbiology
subject: FOS: Biological sciences
subject: Genetics
subject: Evolutionary Biology
subject: Ecology
subject: Immunology
subject: FOS: Clinical medicine
subject: Developmental Biology
subject: 111714 Mental Health
subject: FOS: Health sciences
subject: Hematology
subject: 110309 Infectious Diseases

description: Relates to Fig.Â 5. Ranking by the 16-gene polarized immune response score demonstrates common occurrence of a polarized T-cell response across DLBCL from all data sets. Shown are all DLBCL data sets used with cases ranked by the 16-gene polarized immune response score. The data set number is shown above each heat map, followed by three bars: top bar COO class (yellow ABC, blue GCB, green unclassified); middle bar class confidence assigned during classification (blue low confidence to red high confidence); bottom bar polarized score (blue low polarized immune response score to red high polarized immune response score). These are followed by case-by-case gene expression values (illustrated as z scores) which are broken down into components identified by coloured bars on the right of each heatmap. The contributing genes are shown in the grey expanded box to the right of the figure with corresponding colour code: yellow bar ABC COO-classifier genes; blue bar GCB COO-classifier genes; green bar polarized immune response score; black bar extended COO-unclassified meta-profile and immune response genes. (PDF 1073 kb)
ИМОМ БУХОРИЙНИНГ AҚИДAВИЙ ОЯТЛAРНИ ШAРҲЛAШДAГИ ИШОРA ВA ДAЛИЛЛAРИ
Creators: name: Иноятов, Азизхўжа
Publisher: name: Zenodo
Year: 2024

description: ушбу мақолада Имом Бухорийнинг aқидaвий оятлaрни шaрҳлaшдaги ишорa вa дaлиллaри мҳим ва асосли манбалардан олинган таърифларга эътибор берилган ҳолда ёритилганлиги, унинг ўзига хос мазмун моҳиятга эгалиги, олимнинг ҳaдис тўплaмининг ичигa тaфсирни қўшгaни ҳaмдa бaъзи ўринлaрдa филологик изоҳлaр қолдиргaнлиги ҳақида сўз боради.
Additional file 2: Figure S2. of Gene expression meta-analysis reveals immune response convergence on the IFNÎł-STAT1-IRF1 axis and adaptive immune resistance mechanisms in lymphoma
Creators: name: Care, Matthew
name: Westhead, David
name: Tooze, Reuben
Publisher: name: Figshare
Year: 2015
Subjects: subject: Medicine
subject: Microbiology
subject: FOS: Biological sciences
subject: Cell Biology
subject: Genetics
subject: Molecular Biology
subject: Immunology
subject: FOS: Clinical medicine
subject: 80699 Information Systems not elsewhere classified
subject: FOS: Computer and information sciences
subject: Developmental Biology
subject: Cancer
subject: 111714 Mental Health
subject: FOS: Health sciences
subject: Hematology
subject: 110309 Infectious Diseases

description: Outline of the process for integrating and visualizing analysis of gene signature and ontology enrichments. The flow diagram illustrates the process for integrating gene signature and ontology enrichments. The initial assessment of overlap between meta-profiles derived from the comparison of ABC-DLBCL versus COO-unclassified (CU) DLBCL and GCB-DLBCL versus COO-unclassified (CU) DLBCL is shown at the top of the figure, followed by the parallel analysis of gene ontology (BiNGO) and hypergeometric testing of signature enrichments. Next a matrix is illustrated showing the occurrence of genes versus enriched signatures (green fill), followed by analysis of correlations (Phi coefficient) by column (signature/ontology terms) or by row (genes) and hierarchical clustering. (PDF 1658 kb)
Additional file 15: Figure S10. of Gene expression meta-analysis reveals immune response convergence on the IFNÎł-STAT1-IRF1 axis and adaptive immune resistance mechanisms in lymphoma
Creators: name: Care, Matthew
name: Westhead, David
name: Tooze, Reuben
Publisher: name: Figshare
Year: 2015
Subjects: subject: Medicine
subject: Microbiology
subject: FOS: Biological sciences
subject: Cell Biology
subject: Genetics
subject: Evolutionary Biology
subject: Ecology
subject: Immunology
subject: FOS: Clinical medicine
subject: Developmental Biology
subject: Cancer
subject: 111714 Mental Health
subject: FOS: Health sciences
subject: Hematology
subject: 110309 Infectious Diseases
subject: Computational Biology

description: Clustering of COO classes and PMBL signature genes. Shown are all DLBCL data sets used, hierarchically clustered by all genes shown, including the 23-gene PMBL signature, and constrained by COO class. The data set number is shown above each heatmap, followed by three bars: top bar COO class (yellow ABC, blue GCB, green unclassified); middle bar class confidence assigned during classification (blue low confidence to red high confidence); bottom bar polarized score (blue low polarized immune response score to red high polarized immune response score). These are followed by case-by-case gene expression values (illustrated as z scores), which are broken down into components identified by coloured bars on the right of each heatmap. The contributing genes are shown in the grey expanded box to the right of the figure with corresponding color code: yellow bar ABC COO-classifier genes; blue bar GCB COO-classifier genes; green bar polarized immune response score; black bar PMBL 23-gene signature. (PDF 1002 kb)
Mallinella kunmingensis Griswold, 2009, sp. nov.
Creators: name: Griswold, Charles
Publisher: name: Zenodo
Year: 2009
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Arachnida
Araneae
Zodariidae
Mallinella
Mallinella kunmingensis

description: Mallinella kunmingensis sp. nov.
Figs 13−21, 25
Type material: Male (holotype): China, Yunnan Province, Kunming City, Kunming Institute of Botany botanical gardens (25.13925°N, 102.74145°E), 21 June 2000, leg. Charles Griswold and David Kavanaugh (HNU-KB). Paratypes: 1♂, same date as holotype (HNU-KB); 1♂, same date as holotype (CaAS-KB)
Etymology: The specific name refers to the type locality, noun in apposition.
Diagnosis. The new species is very similar to M. maolanensis Wang, Ran & Chen, 1999 (Wang, Ran & Chen, 1999:193, figs. 1-4) in the body shape, but differs from the latter in: 1) the outer ramus of the embolus half the length of the inner one in the new species versus almost as long as inner one in M. maolanensis; 2) abdominal dorsum with a long brown sclerotized plate, which is absent from that of M. maolanensis.
Description. Male (holotype): Total length 5.10; prosoma 2.30 long; 2.00 wide; opisthosoma 2.80 long; 1.50 wide. Prosoma slightly swollen. AER and PER slightly procurved. 8 eyes almost of the same size (0.15); AME-AME = AME-ALE (0.08), PME-PME (0.13) <PME-PLE (0.20); MOA long 0.30, front width 0.38, back width 0.43; clypeus height 0.78. Carapace blackish brown, fovea black. Chilum single, trianglar and hairless. Sternum cordiform, yellow, with some hairs around, as long as wide, margin with small pointed extensions fitting in coxal concavities of legs. Chelicerae red with scopula on both margins of fang furrow, chelicerae without teeth, fang very short and thick. Gnathocoxae yellow, with some hairs in the inner surface. Labium yellowish brown, triangular, wider than long. Legs orange except femora brown, with many spines. Measurements of leg: I 8.05 (1.95, 2.45, 2.00, 1.65); II 7.75 (1.90, 2.25, 2.05, 1.55); III 8.00 (1.85, 2.40, 2.25, 1.50); IV 9.70 (1.75, 2.85, 3.25, 1.85). Leg formula: 4, 1, 3, 2. Opisthosoma dorsum dark grey, anteriorly with a brown longitudinal sclerotized plate and 4 pairs of white spots. Posteriorly with a large white spot and 3 black strips. Venter anterior yellow with 2 longitudinal paramedian black stripes.
Palp (Figs 17 – 21): VTA blunt, RTA longer and digitiform; cymbial ridge a basal fold for about one third the length of segment; median apophysis very long, medially with 3 denticles, the apex rostrate; embolus with two rami, the inner ramus longer and thick, its distal portion with two short rami which overlap. Female unknown.
Distribution: China (Yunnan Province).
description: Published as part of Griswold, Charles, 2009, Three new species of the genus Mallinela (Zodariidae: Araneae) from Yunnan Province, China, pp. 47-56 in Zootaxa 2005 on pages 51-53, DOI: 10.5281/zenodo.185665
Additional file 21: Figure S15. of Gene expression meta-analysis reveals immune response convergence on the IFNÎł-STAT1-IRF1 axis and adaptive immune resistance mechanisms in lymphoma
Creators: name: Care, Matthew
name: Westhead, David
name: Tooze, Reuben
Publisher: name: Figshare
Year: 2015
Subjects: subject: Medicine
subject: Microbiology
subject: FOS: Biological sciences
subject: Genetics
subject: Molecular Biology
subject: Immunology
subject: FOS: Clinical medicine
subject: 69999 Biological Sciences not elsewhere classified
subject: 111714 Mental Health
subject: FOS: Health sciences
subject: 110309 Infectious Diseases
subject: Plant Biology
subject: Computational Biology

description: Relates to Fig.Â 10. Immune-modulatory and checkpoint gene expression is strongly correlated with elements of the polarized immune response signature. Correlation curves were generated from the focus gene analysis for all 16 genes used in the polarized immune response signature by ranking genes according to median correlation, and then plotting the gene correlation rank (x-axis) against the corresponding median gene correlation (y-axis, medianRHO). The position of immune checkpoint/modulatory genes on the resulting curves was plotted for each focus gene as indicated in the figure. Note only the top 2000 of 20,121 genes tested are illustrated. (PDF 140 kb)
Additional file 1 of Intraplate seismic mechanisms in the Zhangjiakou-Bohai Seismic Belt: insights from magnetotelluric data
Creators: name: Zhang, Yuyang
name: Jin, Sheng
name: Ye, Gaofeng
name: Zhang, Haijiang
name: Wei, Wenbo
name: Dong, Hao
name: Gao, Ji
Publisher: name: figshare
Year: 2024
Subjects: subject: Geology
subject: FOS: Earth and related environmental sciences
subject: Geophysics

description: Additional file 1.
Additional file 10: Figure S6. of Gene expression meta-analysis reveals immune response convergence on the IFNÎł-STAT1-IRF1 axis and adaptive immune resistance mechanisms in lymphoma
Creators: name: Care, Matthew
name: Westhead, David
name: Tooze, Reuben
Publisher: name: Figshare
Year: 2015
Subjects: subject: Medicine
subject: Microbiology
subject: FOS: Biological sciences
subject: Cell Biology
subject: Genetics
subject: Molecular Biology
subject: Evolutionary Biology
subject: Immunology
subject: FOS: Clinical medicine
subject: 80699 Information Systems not elsewhere classified
subject: FOS: Computer and information sciences
subject: Developmental Biology
subject: Cancer
subject: 111714 Mental Health
subject: FOS: Health sciences
subject: Hematology
subject: 110309 Infectious Diseases

description: High resolution image corresponding to Fig.Â 3b. Integrated gene signature and ontology enrichments for COO-unclassified meta-profile clustered from the gene perspective. The figure represents the hierarchical clustering of meta-profile genes contributing to signature and ontology term enrichments, and clustered according to the correlation of enriched signature/ontology term membership. Correlations are illustrated in the heatmap on a blue (least) to red (most) scale as indicated at the top of the figure. Along the edges of the heatmap official gene symbols are provided. (PDF 126 kb)
Additional file 19: Figure S13. of Gene expression meta-analysis reveals immune response convergence on the IFNÎł-STAT1-IRF1 axis and adaptive immune resistance mechanisms in lymphoma
Creators: name: Care, Matthew
name: Westhead, David
name: Tooze, Reuben
Publisher: name: Figshare
Year: 2015
Subjects: subject: Microbiology
subject: FOS: Biological sciences
subject: Cell Biology
subject: Genetics
subject: Molecular Biology
subject: Physiology
subject: Evolutionary Biology
subject: 69999 Biological Sciences not elsewhere classified
subject: 80699 Information Systems not elsewhere classified
subject: FOS: Computer and information sciences
subject: Developmental Biology
subject: 111714 Mental Health
subject: FOS: Health sciences
subject: Hematology
subject: 110309 Infectious Diseases
subject: Plant Biology
subject: Computational Biology

description: Relates to Fig.Â 8b. Integrated gene signature and ontology enrichments for FGL2 focus gene analysis. Upper panel: the hierarchical clustering of enriched gene signature and GO terms related to genes correlating with FGL2 in focus gene analysis. Correlations are illustrated in the heatmap on a blue (least) to red (most) scale as indicated at the top of the figure. Along the edges of the heatmap the signature terms are provided (and correspond to terms listed in Additional file 17). The FDR-corrected p value for enrichment of the signature is illustrated as a bar on either side of the heatmap, along with an indication of the type of term (signature versus ontology) and the origin of the terms as indicated in the figure. Lower panel: the hierarchical clustering of genes correlating with FGL2 in focus gene analysis. Genes shown are clustered according to the correlation of enriched signature/GO term membership. Correlations are illustrated in the heatmap on a blue (least) to red (most) scale as indicated at the top of the figure. Along the edges of the heatmap official gene symbols are provided. (PDF 1772 kb)
Additional file 11: Figure S7. of Gene expression meta-analysis reveals immune response convergence on the IFNÎł-STAT1-IRF1 axis and adaptive immune resistance mechanisms in lymphoma
Creators: name: Care, Matthew
name: Westhead, David
name: Tooze, Reuben
Publisher: name: Figshare
Year: 2015
Subjects: subject: Medicine
subject: Microbiology
subject: FOS: Biological sciences
subject: Cell Biology
subject: Genetics
subject: Molecular Biology
subject: Evolutionary Biology
subject: Immunology
subject: FOS: Clinical medicine
subject: Cancer
subject: 111714 Mental Health
subject: FOS: Health sciences
subject: Hematology
subject: 110309 Infectious Diseases

description: Relates to Fig.Â 4. Genes most consistently associated with COO-unclassified DLBCL are related to a polarized immune response. As in Fig.Â 4, the two principal branches of the gene-centred hierarchical clustering tree of the COO-unclassified meta-profile are illustrated on the left. Colour-coding above identifies: red cluster 1, corresponding to the T-cell cluster; black cluster 2, IFN and monocyte/immune NOS (not otherwise specified). On the right the relative rank of differentially expressed genes contributing to the COO-unclassified meta-profile is plotted using the median normalized fold change for gene ranking; the x-axis indicates differential expression rank in the comparison COO-unclassified versus ABC-DLBCL; the y-axis indicates differential expression rank in the comparison COO-unclassified versus GCB-DLBCL. Cluster membership is superimposed on the scatter plot of differential expression rank according to the colour coding shown (red cluster 1, black cluster 2). The 18 genes most consistently separating COO-unclassified DLBCL from either ABC- or GCB-DLBCL are illustrated below with cluster membership and mean differential expression rank shown. (PDF 275 kb)
Additional file 14: Figure S9. of Gene expression meta-analysis reveals immune response convergence on the IFNÎł-STAT1-IRF1 axis and adaptive immune resistance mechanisms in lymphoma
Creators: name: Care, Matthew
name: Westhead, David
name: Tooze, Reuben
Publisher: name: Figshare
Year: 2015
Subjects: subject: Medicine
subject: Microbiology
subject: FOS: Biological sciences
subject: Genetics
subject: Evolutionary Biology
subject: Ecology
subject: Immunology
subject: FOS: Clinical medicine
subject: Developmental Biology
subject: Cancer
subject: 111714 Mental Health
subject: FOS: Health sciences
subject: Hematology
subject: 110309 Infectious Diseases
subject: Computational Biology

description: Relates to Fig.Â 6. Clustering within COO classes demonstrates subdivision of unclassified DLBCL by polarized immune response score, and occurrence of immune response-rich cases in each principal COO class. Shown are all DLBCL data sets used, hierarchically clustered by all genes shown, and constrained by COO class. The data set number is shown above each heatmap, followed by three bars: top bar COO class (yellow ABC, blue GCB, green unclassified); middle bar class confidence assigned during classification (blue low confidence to red high confidence); bottom bar polarized score (blue low polarized immune response score to red high polarized immune response score). These are followed by case-by-case gene expression values (illustrated as z scores), which are broken down into components identified by coloured bars on the right of each heatmap. The contributing genes are shown in the grey expanded box to the right of the figure with corresponding color code: yellow bar ABC COO-classifier genes; blue bar GCB COO-classifier genes; green bar polarized immune response score; black bar extended COO-unclassified meta-profile and immune response genes. (PDF 1168 kb)
Gahrliepia (Gahrliepia) usitata Fernandes and Kulkarni 2003
Creators: name: Nielsen, David H.
name: Robbins, Richard G.
name: Rueda, Leopoldo M.
Publisher: name: Zenodo
Year: 2021
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Arachnida
Trombidiformes
Trombiculidae
Gahrliepia
Gahrliepia usitata

description: Gahrliepia (Gahrliepia) usitata Fernandes and Kulkarni, 2003:
ORI
description: Published as part of Nielsen, David H., Robbins, Richard G. & Rueda, Leopoldo M., 2021, Annotated world checklist of the Trombiculidae and Leeuwenhoekiidae (1758 - 2021) (Acari: Trombiculoidea), with notes on nomenclature, taxonomy, and distribution, pp. 1-243 in Zootaxa 4967 (1) on page 24, DOI: 10.11646/zootaxa.4967.1.1, http://zenodo.org/record/4745510
Semigothograptus Kozłowska, 2016, new genus
Creators: name: Kozłowska, Anna
Publisher: name: Zenodo
Year: 2016
Subjects: Biodiversity
Taxonomy
Animalia
Hemichordata
Graptolithina
Graptoloidea
Retiolitidae
Semigothograptus

description: Genus Semigothograptus new genus
Etymology. The generic name Semigothograptus is derived from semi (half in Latin) and Gothograptus Frech, 1897 indicating some similarity to the genus Gothograptus.
Type and only species. Gothograptus? meganassa (Rickards & Palmer, 2002)
Type locality. Aston Piggot, Long Mountain, Shropshire, UK; material deposited in the Sedgwick Museum, Cambridge (Rickards & Palmer 2002).
Diagnosis. Tubarium widening gradually from proximal end, nema free. Ancora umbrella simple, a pair of large looping meshes on each side of tubarium. Proximal ventral orifices of triangular shape; lateral orifices kidney-shaped. Ventral wall represented by mid-ventral lists, lips, genicular list, and long lateral apertural rods convex towards the centre of lateral wall, which become distinctly sigmoidal the more distal they are. Oblique clathrial lists on lateral walls.
Remarks. The new genus Semigothograptus has a free nema, which therefore does not affect the pattern of the lateral wall, whereas Gothograptus, to which the described species was tentatively designated by Rickards and Palmer, has the nema connected to the lateral (obverse) side of the tubarium (Fig. 1 A). The long lateral apertural rods, convex towards the centre of lateral wall, are unique to Semigothograptus.
description: Published as part of Kozłowska, Anna, 2016, A new generic name, Semigothograptus, for Gothograptus? meganassa Rickards & Palmer, 2002, from the Silurian post- lundgreni Biozone recovery phase, and comparative morphology of retiolitids from the lowermost upper Homerian (upper Wenlock), pp. 534-546 in Zootaxa 4208 (6) on page 536, DOI: 10.11646/zootaxa.4208.6.2, http://zenodo.org/record/215001
Additional file 1: Figure S1. of Gene expression meta-analysis reveals immune response convergence on the IFNÎł-STAT1-IRF1 axis and adaptive immune resistance mechanisms in lymphoma
Creators: name: Care, Matthew
name: Westhead, David
name: Tooze, Reuben
Publisher: name: Figshare
Year: 2015
Subjects: subject: Medicine
subject: Microbiology
subject: FOS: Biological sciences
subject: Genetics
subject: Molecular Biology
subject: Ecology
subject: Immunology
subject: FOS: Clinical medicine
subject: 69999 Biological Sciences not elsewhere classified
subject: Developmental Biology
subject: Marine Biology
subject: Cancer
subject: Hematology
subject: 110309 Infectious Diseases
subject: FOS: Health sciences

description: Outline of meta-profile generation using COO classification. Upper panel: the data sets used. Please note one data set, GSE10846, is divided into two component parts reflecting underlying differences in treatment (CHOP versus R-CHOP), giving a total of 11 separate data set components. Illustrated are all cases for each data set, subdivided by COO classification established using the DAC classifier [32] and ranked by classification confidence, with classifier genes illustrated on the right (yellow bars ABC classifier genes and cases, blue bars GCB classifier genes and cases, green bars COO-unclassified cases). Middle panels: the pairwise comparisons of differentially expressed genes between three classes, and the integration of differentially expressed genes across data sets. Bottom panels: the resulting meta-profiles of differentially expressed genes for both components of the three possible pairwise comparisons are shown as Wordles for illustrative purposes (complete details provided in Additional file 5). (PDF 2024 kb)
Additional file 29: Figure S8. of
                     De novo transcriptome sequencing and gene expression profiling of Elymus nutans under cold stress
Creators: name: Juanjuan Fu
name: Yanjun Miao
name: Linhui Shao
name: Tianming Hu
name: Peizhi Yang
Publisher: name: Figshare
Year: 2016
Subjects: subject: Biochemistry
subject: Genetics
subject: FOS: Biological sciences
subject: Molecular Biology
subject: Immunology
subject: FOS: Clinical medicine
subject: 69999 Biological Sciences not elsewhere classified
subject: Developmental Biology
subject: Marine Biology
subject: Inorganic Chemistry
subject: FOS: Chemical sciences
subject: 110309 Infectious Diseases
subject: FOS: Health sciences
subject: Plant Biology
subject: Computational Biology

description: Real time RT-PCR validation of differentially expressed transcripts from RNA-seq. Changes in the transcript levels of 16 specifically expressed genes in DX and GN genotype were shown in plot (a-h) and (i-p), respectively. Changes in the transcript levels of 10 hub genes in DX and GN genotype were shown in plot (q-v) and (w-z), respectively. Quantitative gene expression data are shown as the mean ± SE with three biological replicates. (PDF 1119 kb)
Additional file 7: Figure S5. of
                     De novo transcriptome sequencing and gene expression profiling of Elymus nutans under cold stress
Creators: name: Juanjuan Fu
name: Yanjun Miao
name: Linhui Shao
name: Tianming Hu
name: Peizhi Yang
Publisher: name: Figshare
Year: 2016
Subjects: subject: Cell Biology
subject: Genetics
subject: FOS: Biological sciences
subject: Molecular Biology
subject: 59999 Environmental Sciences not elsewhere classified
subject: FOS: Earth and related environmental sciences
subject: 69999 Biological Sciences not elsewhere classified
subject: Developmental Biology
subject: 110309 Infectious Diseases
subject: FOS: Health sciences

description: KEGG Function classification results of unigenes in DX and GN. (PDF 435 kb)
Additional file 6: Figure S4. of
                     De novo transcriptome sequencing and gene expression profiling of Elymus nutans under cold stress
Creators: name: Juanjuan Fu
name: Yanjun Miao
name: Linhui Shao
name: Tianming Hu
name: Peizhi Yang
Publisher: name: Figshare
Year: 2016
Subjects: subject: Cell Biology
subject: Genetics
subject: FOS: Biological sciences
subject: Molecular Biology
subject: 59999 Environmental Sciences not elsewhere classified
subject: FOS: Earth and related environmental sciences
subject: 69999 Biological Sciences not elsewhere classified
subject: Developmental Biology
subject: 110309 Infectious Diseases
subject: FOS: Health sciences
subject: 60506 Virology
subject: Computational Biology

description: Gene Ontology (GO) functional annotation of unigenes in DX and GN. (PDF 998 kb)
Additional file 5: Figure S3. of
                     De novo transcriptome sequencing and gene expression profiling of Elymus nutans under cold stress
Creators: name: Juanjuan Fu
name: Yanjun Miao
name: Linhui Shao
name: Tianming Hu
name: Peizhi Yang
Publisher: name: Figshare
Year: 2016
Subjects: subject: Genetics
subject: FOS: Biological sciences
subject: Molecular Biology
subject: 69999 Biological Sciences not elsewhere classified
subject: Developmental Biology
subject: 110309 Infectious Diseases
subject: FOS: Health sciences
subject: Plant Biology
subject: Computational Biology

description: The species distribution is shown as a percentage of the total homologous sequences with an E-value of at least 1.0E-5. (PDF 244 kb)
Additional file 26: Figure S7. of
                     De novo transcriptome sequencing and gene expression profiling of Elymus nutans under cold stress
Creators: name: Juanjuan Fu
name: Yanjun Miao
name: Linhui Shao
name: Tianming Hu
name: Peizhi Yang
Publisher: name: Figshare
Year: 2016
Subjects: subject: Cell Biology
subject: Genetics
subject: FOS: Biological sciences
subject: Molecular Biology
subject: 59999 Environmental Sciences not elsewhere classified
subject: FOS: Earth and related environmental sciences
subject: Immunology
subject: FOS: Clinical medicine
subject: 69999 Biological Sciences not elsewhere classified
subject: Developmental Biology
subject: 110309 Infectious Diseases
subject: FOS: Health sciences
subject: Plant Biology
subject: Computational Biology

description: The subnetwork of hub genes in DX (a) and GN (b). An edge indicates the coexpression between two genes. Red nodes represent up-regulated genes. (PDF 680 kb)
Gahrliepia (Gahrliepia) uttaranchalensis Fernandes and Kulkarni 2003
Creators: name: Nielsen, David H.
name: Robbins, Richard G.
name: Rueda, Leopoldo M.
Publisher: name: Zenodo
Year: 2021
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Arachnida
Trombidiformes
Trombiculidae
Gahrliepia
Gahrliepia uttaranchalensis

description: Gahrliepia (Gahrliepia) uttaranchalensis Fernandes and Kulkarni, 2003:
ORI
description: Published as part of Nielsen, David H., Robbins, Richard G. & Rueda, Leopoldo M., 2021, Annotated world checklist of the Trombiculidae and Leeuwenhoekiidae (1758 - 2021) (Acari: Trombiculoidea), with notes on nomenclature, taxonomy, and distribution, pp. 1-243 in Zootaxa 4967 (1) on page 24, DOI: 10.11646/zootaxa.4967.1.1, http://zenodo.org/record/4745510
title: Direct Spectroscopic Confirmation of the Oxygen-Centered Diradical Character of the Tetraoxidorhenium(VII) Cation [Re(O)4]+
Creators: name: Silva Santos, Mayara Da
name: Medel, Robert
name: Kruse, Simon
name: Flach, Max
name: Ablyasova, Olesya S.
name: Timm, Martin
name: Issendorff, Bernd Von
name: Hirsch, Konstantin
name: Zamudio-Bayer, Vicente
name: Riedel, Sebastian
Publisher: name: Freie Universität Berlin
Year: 2024
Subjects: subject: gas phase
subject: ground state
subject: radicals
subject: rhenium
subject: X-ray absorption spectroscopy
classificationCode: 540
subject: Chemie und zugeordnete Wissenschaften

description: Mononuclear inorganic diradical species are scarce. Here, we confirm, via X-ray absorption spectroscopy in the gas phase combined with computational studies, the oxygen-centered diradical character of the tetraoxidorhenium(VII) cation. A dioxido-superoxido isomer, close in energy to the diradical, is also found, where rhenium appears in its rare oxidation state of +6. Addition of one or two hydrogen atoms to [Re,O4]+ forms hydroxido ligands, and strongly disfavors isomers with any oxygen-oxygen bond. This adds spectroscopic characterization of the rhenium oxidation state and the nature of ligands to the known ability of [Re,O4]+ to perform two consecutive hydrogen-atom abstraction reactions from methane, and demonstrates that pentaatomic [Re,O4]+ combines a metal center in its highest oxidation state with two oxygen-centered radical ligands in a highly reactive species.
Additional file 4: Figure S3. of Identification of global regulators of T-helper cell lineage specification
Creators: name: Kartiek Kanduri
name: Tripathi, Subhash
name: Larjo, Antti
name: MannerstrĂśm, Henrik
name: Ubaid Ullah
name: Lund, Riikka
name: R. Hawkins
name: Ren, Bing
name: LĂ¤HdesmĂ¤Ki, Harri
name: Lahesmaa, Riitta
Publisher: name: Figshare
Year: 2015
Subjects: subject: Cell Biology
subject: Genetics
subject: FOS: Biological sciences
subject: Molecular Biology
subject: 69999 Biological Sciences not elsewhere classified
subject: Developmental Biology
subject: Plant Biology

description: Distribution of lineage-specific genes in platforms when analyzed individually in each platform. (PDF 103 kb)
Additional file 10: Figure S4. of Identification of global regulators of T-helper cell lineage specification
Creators: name: Kartiek Kanduri
name: Tripathi, Subhash
name: Larjo, Antti
name: MannerstrĂśm, Henrik
name: Ubaid Ullah
name: Lund, Riikka
name: R. Hawkins
name: Ren, Bing
name: LĂ¤HdesmĂ¤Ki, Harri
name: Lahesmaa, Riitta
Publisher: name: Figshare
Year: 2015
Subjects: subject: Cell Biology
subject: Molecular Biology
subject: 59999 Environmental Sciences not elsewhere classified
subject: FOS: Earth and related environmental sciences
subject: 69999 Biological Sciences not elsewhere classified
subject: FOS: Biological sciences
subject: Developmental Biology
subject: 110309 Infectious Diseases
subject: FOS: Health sciences
subject: Plant Biology
subject: Computational Biology

description: Relative abundance of various lncRNA types along with protein-coding genes. The column names are as follows: AS anti sense lncRNA, AS_L lineage-specifc antisense lncRNA, linc long intergenic non-coding RNA, linc_L lineage-specific lincRNA, PT processed transcript, PT_L lineage-specific processed transcript, SI sense intronic, SI_L lineage-specific sense intronic, SO sense overlapping, SO_L lineage-specific sense overlapping, PC protein-coding mRNA. (PDF 132 kb)