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1,888 results for “Cooperation”
Figure 4. Scyliorhinus weemsi n in Early Oligocene (Rupelian) fishes (Chondrichthyes, Osteichthyes) from the Ashley Formation (Cooper Group) of South Carolina, USA
Figure 4. Scyliorhinus weemsi n. sp. teeth from the Givhans Ferry Member, Ashley Formation (Rupelian), Dorchester County, South Carolina. A–D. holotype, SC2007.36.133 in mesial (A), lingual (B), labial (C), and basal (D) views. E–G. paratype, SC2015.29.7 in mesial (E), lingual (F), and labial (G) views. H–J. SC 2015.29.8 in mesial (H), lingual (I), and labial (J) views. K–M. SC2007.36.6 in mesial (K), lingual (L), and labial (M) views. N–P. SC2015.29.6 in mesial (N), lingual (O), and labial (P) views. Q–S. SC2007.36.160 in distal (Q), lingual (R), and labial (S) views. T–V. SC2007.36.203 in mesial (T), lingual (U), and labial (V) views. W–Y. SC2007.36.204 in distal (W), lingual (X), and labial (Y) views. Z–BB SC2007.36.205 in distal (Z), lingual (AA), and labial (BB) views. Scale=0.5 mm in A–D, H–BB, and 1 mm in E–G.
Figure 9 in Early Oligocene (Rupelian) fishes (Chondrichthyes, Osteichthyes) from the Ashley Formation (Cooper Group) of South Carolina, USA
Figure 9. Teleost teeth from the Givhans Ferry Member, Ashley Formation (Rupelian), Dorchester County, South Carolina. A, B. Albula sp. tooth, SC2015.29.204 in profile (A) and basal (B) views. C, D. Osteoglossidae indet. tooth, SC2015.29.218 in profile (C) and basal (D) views. E–H. Sphyraena sp. cheek tooth, SC2007.36.120 in close-up showing serrations (E), labial (F), carinal (G), and basal (H) views. I–K. Sphyraena sp. laniary tooth, SC2007.36.190 in labial (I), basal (J), and anterior (K) views. L, M. Paralichthyidae indet. tooth, SC2007.36.259 in labial (L) and distal (M) views. N. Trichiurides cf. T. sagittidens laniary tooth, SC2015.29.185 in profile view. O. Trichiurides cf. T. sagittidens laniary tooth, SC2007.36.210 in profile view. P–R. Palaeocybium sp. tooth, SC2007.36.122 in labial (P), carinal (Q), and basal (R) views. S–U. Scomberomorus sp. tooth, SC2015.29.221 in lingual (S), carinal (T), and basal (U) views. Scale bar=0.4 mm in O; 0.5 mm in C, D, L–N, S–U; 1 mm in A, B, I–K; 3 mm in E–H, P–R.
Figure 6 in Early Oligocene (Rupelian) fishes (Chondrichthyes, Osteichthyes) from the Ashley Formation (Cooper Group) of South Carolina, USA
Figure 6. Selachian teeth from the Givhans Ferry Member, Ashley Formation (Rupelian), Dorchester County, South Carolina. A–C. Squalus sp. tooth, SC2007.36.3 in lingual (A), labial (B), and basal (C) views. D–E. Squalus sp. tooth, SC2015.29.17 in labial (D) and lingual (E) views. F–G. Squatina sp. tooth, SC2007.36.4 in labial (F) and distal (G) views. H. Squatina sp. placoid scale, SC2015.29.18 in apical view. I. Squatina sp. placoid scale, SC2007.36.126 in apical view. J–K. Pristiophorus sp., SC2015.29.20 in occlusal (J) and labial (K) views. Scale bar=0.5 mm in H; 1 mm in I; 5 mm in A–G, J, K.
Figure 10 in Early Oligocene (Rupelian) fishes (Chondrichthyes, Osteichthyes) from the Ashley Formation (Cooper Group) of South Carolina, USA
Figure 10.?Labridae indet. teeth from the Givhans Ferry Member, Ashley Formation (Rupelian), Dorchester County, South Carolina. A–C. SC2007.36.209.1 in occlusal (A), profile (B), and basal (C) views. D–F. SC2007.36.209.2 in occlusal (D), profile (E), and basal (F) views. Scale bars=0.5 mm.
Digitalisation in South-South Cooperation. Research by Citlali Ayala Martinez
<p>Originally published on Youtube on 19 August 2024: <a title="https://www.youtube.com/watch?v=hxow2VP90zA Strg+Klicken oder tippen Sie, um dem Link zu folgen." href="https://www.youtube.com/watch?v=hxow2VP90zA">https://www.youtube.com/watch?v=hxow2VP90zA</a></p> <p>In this video, Citlali Ayala Martinez, a research professor at Mora Institute in Mexico City, shares insights from her ongoing research project under the PRODIGEES program. Her work focuses on exploring how digitalisation can significantly enhance South-South and triangular cooperation, contributing to development solutions across the Global South. </p> <p>Key Topics Discussed:</p> <p>The impact of digitalisation on global development initiatives. The role of frameworks like the Digital Global Compact and national digital agendas in promoting digital inclusion. How digital technologies can be established as a global public good.</p>
Data from: Personality and social network structure influence cooperative dynamics across canid species
<p>In canids, cooperative behaviour occurs in many scenarios. However, most studies focus on single-species observations, not accounting for variation beyond the species-level. We modelled cooperative behaviour using Eigenvalue centrality as well as boldness combined with biological traits such as kinship, sex, age, mating system and foraging strategy in multiple canid species with Bayesian inference, Tukey HSD and distance correlation.</p>
β-Carotene alleviates substrate inhibition of a transferase caused by asymmetric cooperativity
<p>Initial topology, parameter and coordinates files of the Molecular dynamics (MD) simulations of <em>Nb</em>UGT72AY1. Five systems were simulated and analysed:</p> <p><em>Nb</em>UGT72AY1 (PDB 9J9K, complex V):</p> <ul> <li>system 1: structure APO</li> <li>system 2: structure in complex with scopoletin </li> <li>system 3: structure in complex with UDPG</li> <li>system 4: structure in complex with UDPG and scopoletin</li> </ul> <p>We used ACEMD3 (v3.7.1) as the molecular engine and AMBER as the force field. The three replicas of 1 µs (xtc files) were concatenated in a single trajectory for each system. Water molecules and ions atoms were remove from the original trajectories and topology before the upload (dry_trj.pdb).</p>
Data of "Impact of temporal correlations on high risk outbreaks of independent and cooperative SIR dynamics"
<p>The data reported in the paper: Sajjadi et al. (2021) Impact of temporal correlations on high risk outbreaks of independent and cooperative SIR dynamics. PLoS ONE 16(7): e0253563. https://doi.org/10.1371/journal.pone.0253563<br> Each directory contains the data illustrated in one figure. The data structure and properties are described in .info files within each directory.</p> <p><br> All the simulations, analyses and illustrations have been conducted via the Epyc package (written in C++ and Python), developed by Sina Sajjadi. Epyc is available under GPLv3, at https://github.com/Sepante/Epyc.</p>
Supplementary data for: Transposon mutagenesis identifies cooperating genetic drivers during keratinocyte transformation and cutaneous squamous cell carcinoma progression
<p><strong>Supplementary Note 1:</strong></p> <ul> <li>S1 Text: Oncogenomic comparisons between SB candidate Trunk driver genes and their direct orthologs in human Cancer Gene Census; Pyrosequencing analysis of SB-driven keratinocyte cancer models; References.</li> </ul> <p><strong>Supplementary Figures 1-11:</strong></p> <ul> <li>S1 Fig: Overview of genetic crosses to generate SB|Trp53|Onc3 mouse model.</li> <li>S2 Fig: SB insertion patterns in activated and inactivated drivers.</li> <li>S3 Fig: Evaluating the reproducibility of SBCapSeq results from bulk cuSCC and normal skin specimens.</li> <li>S4 Fig. Hierarchical two-dimensional clustering of recurrent events in cuKA and cuSCC.</li> <li>S5 Fig. Curated biological pathways and processes enriched within SB-induced cuSCC.</li> <li>S7 Fig: ZMIZ1 metagene within the TCGA Head & Neck Squamous Cell Carcinoma (hnSCC) RNA-seq dataset.</li> <li>S8 Fig: Clonally selected SB insertions affect trunk driver proto-oncogene expression in SB-cuSCC genomes.</li> <li>S9 Fig: Clonally selected SB insertions affect trunk driver genes by inactivating expression in SB-cuSCC genomes.</li> <li>S10 Fig: CREBBP knockdown does not alter proliferation rate in cuSCC cell lines.</li> <li>S11 Fig: Gross photographs of cuSCC xenograft masses collected at necropsy showing robust TurboGFP expression.</li> <li>S12 Fig: SB T2/Onc3 TG.12740 allele donor position mapping and exclusion for SB Driver Analysis.</li> </ul> <p><strong>Supplementary Tables 1-20:</strong></p> <ul> <li>S1 Table: Tumor incidence and subgroup classifications by cohort.</li> <li>S2 Table: Specimen metafile data for projects sequenced using SBCapSeq protocol with Ion Torrent Proton sequencer.</li> <li>S3 Table: Discovery and progression SB Driver Analysis for cuSCC60_SBC.</li> <li>S4 Table: Trunk SB Driver Analysis for cuSCC60_SBC.</li> <li>S5 Table: Discovery and progression SB Driver Analysis for cuKA11_SBC.</li> <li>S6 Table: Trunk SB Driver Analysis for cuKA11_SBC.</li> <li>S7 Table: Discovery and progression SB Driver Analysis for cuSK32_SBC.</li> <li>S8 Table: SBCapSeq read depth and analysis for 4 cuSCC genomes selected for multi-region resequencing because they had intermixing of cuSCC and cuKA histologies.</li> <li>S9 Table: Enrichr gene set pathway enrichment analysis of cuSCC drivers.</li> <li>S10 Table: Summary of 7 cuSCC transcriptomes selected for whole transcriptome RNAseq analysis.</li> <li>S11 Table: BED file of SBfusion insertions in 7 cuSCC genomes by whole transcriptome RNAseq analysis.</li> <li>S12 Table: Venn diagram for overlap of genes with SBfusion reads detected by whole transcriptome RNAseq analysis and cuSCC60_SBC discovery driver.</li> <li>S13 Table: Venn diagram for overlap of genes with SBfusion reads detected by whole transcriptome RNAseq analysis and all cuSCC drivers.</li> <li>S14 Table: Transcripts per million (TPM) normalized whole transcriptome RNAseq values per gene from RNA isolated from cuSCC genomes with and without Zmiz1 insertions.</li> <li>S15 Table: Fragments Per Kilobase of Transcripts per Million (FPKM) normalized whole transcriptome RNAseq values per gene transcript from RNA isolated from cuSCC genomes with and without Zmiz1 insertions.</li> <li>S16 Table: Normalized microarray values per gene from RNA isolated from cuSCC genomes with and without <em>Zmiz1</em> insertions.</li> <li>S17 Table: Normalized microarray values per probe from RNA isolated from cuSCC genomes with and without <em>Zmiz1</em> insertions.</li> <li>S18 Table: All 289 genes with differential expression analysis from microarray data from RNA isolated from cuSCC genomes with and without Zmiz1 insertions with P<0.0001 and q<0.05.</li> <li>S19 Table: Lentiviral vectors containing shRNAs used in this study.</li> <li>S20 Table: TaqMan probes used in this study.</li> </ul> <p><strong>Supplementary Datasets 1-5:</strong></p> <ul> <li>S1 Data: BED file of SB insertions for cuSCC60_SBC.</li> <li>S2 Data: BED file of SB insertions for cuKA11_SBC.</li> <li>S3 Data: BED file of SB insertions for cuSK32_SBC</li> <li>S4 Data: BED file of SB insertions for 4 cuSCC genomes selected for multi-region resequencing because they had intermixing of cuSCC and cuKA histologies.</li> <li>S5 Data: Numerical data for graphs pertaining to Figure Panels Fig1A; Fig5A–E; Fig6A–B,D; Fig7C–G; Fig8A–B,D–F; Fig9A–I in the paper on the publicly availble <em>PLOS Genetics</em> Web site.</li> </ul>
FIG. 6 in Felidae from Cooper's Cave, South Africa (Mammalia: Carnivora)
FIG. 6. — Length of P3 plotted against anterior breadth of P3 for Felis nigripes (Burchell, 1824), Felis silvestris lybica Forster, 1780 and CD 675, Felis sp.
FIG. 5 in Felidae from Cooper's Cave, South Africa (Mammalia: Carnivora)
FIG. 5. — Craniodental felid specimens; A-D, Megantereon whitei (Broom, 1937); A, CD 5963, buccal view of right mandible; B, CD 5997, buccal view of left mandible; C, D, CD 10452 in buccal (C) and lingual (D) views of lower M; E, cf. Megantereon whitei, CD 10497, left upper I3 with two cusplets on medial surface; 1 F, G, Machairodontinae indet., CD 3835, right upper P3 in lingual (F) and occlusal (G) views; Acinonyx jubatus (Schreber, 1775), CD 3871, left upper P4 lacking protocone in occlusal (H) and lingual (I) views; J, K, Felis sp.: CD 675, right mandible with lower P3 and partial P4 in buccal (J) and lingual (K) views. Scale bars: 1 cm.
FIG. 4. — Log10 in Felidae from Cooper's Cave, South Africa (Mammalia: Carnivora)
FIG. 4. — Log10 total length of P4 plotted against metastyle length of the P4 for six African Dinofelis Zdansky, 1924 species. Data from Werdelin & Lewis (2001), Lacruz et al. (2006) and this study.
FIG. 2 in Felidae from Cooper's Cave, South Africa (Mammalia: Carnivora)
FIG. 2. — Postcranial specimens of Dinofelis cf. aronoki: A, B, right third metatarsal (CD 19953) in medial (A) and lateral (B) views; C-E, CD 3233, left tibia in lateral (C), medial (D) and superior views (E); F, G, CD 7359 right ulna fragment in lateral (F) and medial (G) views. Scale bars: 1 cm.
FIG. 1 in Felidae from Cooper's Cave, South Africa (Mammalia: Carnivora)
FIG. 1. — Craniodental specimens of Dinofelis cf. aronoki: A-C, CD 19961 in buccal (A), lingual (B) and occlusal (C) views; D, maxillary fragment CD 7323b, c, d in buccal view; E, CD 7323b, c, d in occlusal view; F, buccal view of P4 fragment CD 7323a, associated with 7323b, c, d; G, CD 16765a+b, right premaxilla fragment with roots of I1-I3; H, upper canine fragment CD 16769a+b; I, J, CD 15696, an isolated P3, in lingual (I) and buccal (J) views; K, L, CD 18836, right mandible with P4 and M1 in buccal (K) and occlusal (L) views; M, N, CD 19265, left M1 in mandible fragment in buccal (M) and occlusal (N) views. Scale bars: 1 cm.
Graph Laplacians used in the article "Numerically Efficient $H_{\infty}$ Analysis of Cooperative Multi-Agent Systems"
<p>The repository contains four graph Laplacians written in the Matlab format. These matrices are used in the section "Numerical Examples" in the article "Numerically Efficient $H_{\infty}$ Analysis of Cooperative Multi-Agent Systems".</p>
Dataset for Evolution of Cooperation in Costly Institutions: Red Queen and Black Queen Dynamics in Heterogenous Public Goods
<p>This dataset contains the Matlab codes used in "Evolution of Cooperation in Costly Institutions: Red Queen and Black Queen Dynamics in Heterogenous Public Goods".</p> <p>The zip file contains Matlab codes used in simulation and numerical solutions of the replicator dynamics. The zip file "Figures" contains the Matlab code and data used to produce figures in this study.</p>
Contributions of genetic and non-genetic sources to variation in cooperative behaviour in a cooperative mammal
<p>The evolution of cooperative behaviour is a major area of research among evolutionary biologists and behavioural ecologists, yet there are few estimates of its heritability or of its evolutionary potential and long-term studies of identifiable individuals are required to disentangle genetic and non-genetic components of cooperative behaviour. Here we use long-term data on over 1800 individually recognisable wild meerkats (<i>Suricata suricatta</i>) collected over 30 years and a multi-generational genetic pedigree to partition phenotypic variation in three cooperative behaviours (babysitting, pup feeding and sentinel behaviour) into individual, additive genetic and other sources, and to assess their repeatability and heritability. In addition to strong effects of sex, age and dominance status, we found significant repeatability in individual contributions to all three types of cooperative behaviour both within and across breeding seasons. Like most other studies of the heritability of social behaviour, we found that the heritability of cooperative behaviour was low. However, our analysis suggests that a substantial component of the repeatable individual differences in cooperative behaviour that we observed was a consequence of additive genetic variation. Our results consequently indicate that cooperative behaviour can respond to selection, and suggest scope for further exploration of the genetic basis of social behaviour.</p>
Cooperative action of separate interaction domains promotes high-affinity DNA binding of Arabidopsis thaliana ARF transcription factors
<p>The repository contains the smFRET and SAXS data presented in the preprint https://doi.org/10.1101/2022.11.16.516730 (BioRxiv)</p>
Finnish cooperatives active in the forestry and real estate sector
<p>58 cooperatives incorporated in Finland (osuuskunta / osk) active in the forestry or real estate business, with name and business ID (y-tunnus).</p> <p>The companies have been identified by searching all 200+ cooperatives in the agriculture or real estate field as listed on OpenCorporates and manually identifying those most likely to do business relevant for climate change and climate sink preservation (industry codes 02100, 02400, 68201, 68202, 68209 in Finland TOL 2008). Some extra notes were added manually, including an URL with more information.</p> <p>This is a first version of the dataset. Future versions may include more companies and more extracts from the trade register (PRH).</p>
ETV4 mediates dosage-dependent prostate tumor initiation and cooperates with p53 loss to generate prostate cancer
<p>The mechanisms underlying ETS-driven prostate cancer initiation and progression remain poorly understood due to a lack of model systems that recapitulate this phenotype. We generated a genetically engineered mouse with prostate-specific expression of the ETS factor, ETV4, at lower and higher protein dosages through mutation of its degron. Lower-level expression of ETV4 caused mild luminal cell expansion without histologic abnormalities and higher-level expression of stabilized ETV4 caused prostatic intraepithelial neoplasia (mPIN) with 100% penetrance within 1 week. Tumor progression was limited by p53-mediated senescence and Trp53 deletion cooperated with stabilized ETV4. The neoplastic cells expressed differentiation markers such as Nkx3.1 recapitulating luminal gene expression features of untreated human prostate cancer. Single-cell and bulk RNA-sequencing showed stabilized ETV4 induced a novel luminal-derived expression cluster with signatures of the cell cycle, senescence, and epithelial to mesenchymal transition. These data suggest that ETS overexpression alone, at sufficient dosage, can initiate prostate neoplasia.</p>
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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.