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Additional file 2: Table S2. of Anchored enrichment dataset for true flies (order Diptera) reveals insights into the phylogeny of flower flies (family Syrphidae)
Research datakeyboard_double_arrow_right Dataset 2016Publisher:FigshareFunded by:NSERC, NSF | I-Corps: Anchored Hybrid ..., NSF | Beyond Drosophila: Compar...
NSERC ,
NSF| I-Corps: Anchored Hybrid Enrichment ,
NSF| Beyond Drosophila: Comparative transcriptomics of schizophoran flies to resolve a rapid radiation
Authors: Young, Andrew; Lemmon, Alan; Skevington, Jeffrey; Ximo Mengual; +9 Authors
Young, Andrew; Lemmon, Alan; Skevington, Jeffrey; Ximo Mengual; StĂĽhls, Gunilla; Reemer, Menno; Jordaens, Kurt; Kelso, Scott; Lemmon, Emily; Hauser, Martin; Meyer, Marc De; Misof, Bernhard; Wiegmann, Brian;
doi: 10.6084/m9.figshare.c.3625199_d3.v1 , 10.6084/m9.figshare.c.3625199_d3
doi: 10.6084/m9.figshare.c.3625199_d3.v1 , 10.6084/m9.figshare.c.3625199_d3
Final Probe Regions. Complete listing of all regions used in alignments to generate probes. (XLSX 1446Â kb)
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figshare
Dataset . 2016
License: CC BY
Data sources: Datacite
figshare
Dataset . 2016
License: CC BY
Data sources: Datacite
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Dataset . 2016
License: CC BY
Data sources: Datacite
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Dataset . 2016
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Interactome rewiring following pharmacological targeting of BET bromodomains
Research datakeyboard_double_arrow_right Dataset 2018Publisher:MendeleyFunded by:WT | Open access research to p..., EC | ULTRA-DD, NSERC +4 projects
WT| Open access research to promote drug discovery. ,
EC| ULTRA-DD ,
NSERC ,
CIHR ,
WT| Structural role of BET bromodomains in transcription. ,
UKRI| ZMYND8-regulation of MITF as potential therapeutic target in melanoma ,
NIH| Center for Computational Mass-Spectrometry
Authors: Lambert, Jean-Philippe;
doi: 10.17632/jb4jjxsbb7 , 10.17632/fzvwgpjx88.1 , 10.17632/fzvwgpjx88 , 10.17632/jb4jjxsbb7.1
doi: 10.17632/jb4jjxsbb7 , 10.17632/fzvwgpjx88.1 , 10.17632/fzvwgpjx88 , 10.17632/jb4jjxsbb7.1
This dataset contains the raw, unprocessed immunofluorescence, live-cell imaging and Western blot data for the manuscript entitled: Interactome rewiring following pharmacological targeting of BET bromodomains. All methods employed to generate this dataset can be found in the accompanying manuscript and supplemental material.
Mendeley Dataarrow_drop_down
Mendeley Data
Dataset . 2018
License: CC BY
Data sources: Mendeley Data
Mendeley Data
Dataset . 2018
License: CC BY
Data sources: Mendeley Data
Mendeley Data
Dataset . 2018
License: CC BY
Data sources: Datacite
DANS-EASY
Dataset . 2018
Data sources: B2FIND
DANS-EASY
Dataset . 2018
Data sources: B2FIND
Mendeley Data
Dataset . 2018
License: CC BY
Data sources: Datacite
Mendeley Data
Dataset . 2018
License: CC BY
Data sources: Datacite
Mendeley Data
Dataset . 2018
License: CC BY
Data sources: Mendeley Data
Mendeley Data
Dataset . 2018
License: CC BY
Data sources: Mendeley Data
Mendeley Data
Dataset . 2018
License: CC BY
Data sources: Datacite
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Mendeley Data
Dataset . 2018
License: CC BY
Data sources: Mendeley Data
Mendeley Data
Dataset . 2018
License: CC BY
Data sources: Mendeley Data
Mendeley Data
Dataset . 2018
License: CC BY
Data sources: Datacite
DANS-EASY
Dataset . 2018
Data sources: B2FIND
DANS-EASY
Dataset . 2018
Data sources: B2FIND
Mendeley Data
Dataset . 2018
License: CC BY
Data sources: Datacite
Mendeley Data
Dataset . 2018
License: CC BY
Data sources: Datacite
Mendeley Data
Dataset . 2018
License: CC BY
Data sources: Mendeley Data
Mendeley Data
Dataset . 2018
License: CC BY
Data sources: Mendeley Data
Mendeley Data
Dataset . 2018
License: CC BY
Data sources: Datacite
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Evolution of stickleback spines through independent cis-regulatory changes at HOXDB
Research datakeyboard_double_arrow_right Dataset 2022Publisher:figshareFunded by:NSERC, NIH | Genetics and Developmenta..., NIH | Dynamics of Contemporary ...
NSERC ,
NIH| Genetics and Developmental Biology Training Program ,
NIH| Dynamics of Contemporary Genomic Evolution in Replicate Threespine Stickleback Populations
Authors: Wucherpfennig, Julia; Howes, Timothy R; Kingsley, David M;
doi: 10.6084/m9.figshare.20033063.v1 , 10.6084/m9.figshare.20033063
doi: 10.6084/m9.figshare.20033063.v1 , 10.6084/m9.figshare.20033063
Supporting data and code for Wucherpfennig et al. Nature Ecology and Evolution. R codes, count matrices, phenotype files, and genotype files are organized by the figure in which they are used (with the exception of the QTL mapping files assign to Figure 1 that were also used for Extended Data Figures 1 and 2). Shell scripts used for allele-specific RNA-sequencing analysis are numbered in the order in which they were used. Raw sequencing data can be found on SRA and GEO. Other phenotype files are included in the source data of the paper on the NEE website.
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figshare
Dataset . 2022
License: CC BY
Data sources: Datacite
figshare
Dataset . 2022
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figshare
Dataset . 2022
License: CC BY
Data sources: Datacite
figshare
Dataset . 2022
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Binary black-hole simulation SXS:BBH:1363
Research datakeyboard_double_arrow_right Dataset 2018Publisher:ZenodoFunded by:NWO | Precision Gravity: black ..., NSERC
NWO| Precision Gravity: black holes, spins and gravitational waves ,
NSERC
Authors: Ian Hinder; Kidder, Larry; Pfeiffer, Harald; Scheel, Mark; +4 Authors
Ian Hinder; Kidder, Larry; Pfeiffer, Harald; Scheel, Mark; Boyle, Michael; Hemberger, Dan; Lovelace, Geoffrey; Szilagyi, Bela;
doi: 10.5281/zenodo.1214437 , 10.5281/zenodo.3326579 , 10.5281/zenodo.3276233 , 10.5281/zenodo.2626449 , 10.5281/zenodo.2644053 , 10.5281/zenodo.1214438
doi: 10.5281/zenodo.1214437 , 10.5281/zenodo.3326579 , 10.5281/zenodo.3276233 , 10.5281/zenodo.2626449 , 10.5281/zenodo.2644053 , 10.5281/zenodo.1214438
Simulation of a black-hole binary system evolved by the SpEC code.
ZENODOarrow_drop_down
ZENODO
Dataset . 2019
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2018
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2018
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2018
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2019
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2019
License: CC BY
Data sources: ZENODO
https://search.datacite.org/wo...
Dataset
Data sources: Microsoft Academic Graph
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ZENODO
Dataset . 2019
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2018
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2018
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2018
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2019
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2019
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Data sources: ZENODO
https://search.datacite.org/wo...
Dataset
Data sources: Microsoft Academic Graph
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Binary black-hole simulation SXS:BBH:0054
Research datakeyboard_double_arrow_right Dataset 2018Publisher:ZenodoFunded by:NWO | Precision Gravity: black ..., NSERC
NWO| Precision Gravity: black holes, spins and gravitational waves ,
NSERC
Authors: Mroue, Abdul; Scheel, Mark; Zenginoglu, Anil; Pfeiffer, Harald; +6 Authors
Mroue, Abdul; Scheel, Mark; Zenginoglu, Anil; Pfeiffer, Harald; Hemberger, Dan; Szilagyi, Bela; Taylor, Nicholas; Boyle, Michael; Lovelace, Geoffrey; Kidder, Larry;
doi: 10.5281/zenodo.13165780 , 10.5281/zenodo.13165779 , 10.5281/zenodo.1212793 , 10.5281/zenodo.2621847 , 10.5281/zenodo.2638308 , 10.5281/zenodo.3312217 , 10.5281/zenodo.1212794 , 10.5281/zenodo.3273861
doi: 10.5281/zenodo.13165780 , 10.5281/zenodo.13165779 , 10.5281/zenodo.1212793 , 10.5281/zenodo.2621847 , 10.5281/zenodo.2638308 , 10.5281/zenodo.3312217 , 10.5281/zenodo.1212794 , 10.5281/zenodo.3273861
Simulation of a black-hole binary system evolved by the SpEC code.
ZENODOarrow_drop_down
ZENODO
Dataset . 2018
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2019
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2018
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2019
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2018
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2019
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2024
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Dataset . 2018
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ZENODO
Dataset . 2019
License: CC BY
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ZENODO
Dataset . 2018
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2019
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Data sources: ZENODO
ZENODO
Dataset . 2018
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2019
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2024
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Dataset . 2024
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MOESM2 of Reduced sphingolipid hydrolase activities, substrate accumulation and ganglioside decline in Parkinson’s disease
Research datakeyboard_double_arrow_right Dataset 2019Publisher:figshareFunded by:WT, NSERC, NIH | Critical analysis of glyc... +1 projects
WT ,
NSERC ,
NIH| Critical analysis of glycosphingolipid pathways in aging and Parkinsons disease ,
NIH| Prevention of complement and immune-mediated Lewy body dementia
Authors: Mylene Huebecker; Moloney, Elizabeth; Spoel, Aarnoud Van Der; Priestman, David; +3 Authors
Mylene Huebecker; Moloney, Elizabeth; Spoel, Aarnoud Van Der; Priestman, David; Isacson, Ole; Hallett, Penelope; Platt, Frances;
doi: 10.6084/m9.figshare.10278626 , 10.6084/m9.figshare.10278626.v1
doi: 10.6084/m9.figshare.10278626 , 10.6084/m9.figshare.10278626.v1
Additional file 2. Data of individual patients.
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Dataset . 2019
License: CC BY
Data sources: Datacite
figshare
Dataset . 2019
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Dataset . 2019
License: CC BY
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Dataset . 2019
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Additional file 5 of What are the relative risks of mortality and injury for fish during downstream passage at hydroelectric dams in temperate regions? A systematic review
Research datakeyboard_double_arrow_right Dataset 2020Publisher:figshareFunded by:NSERC
NSERC
Authors: Algera, Dirk; Rytwinski, Trina; Taylor, Jessica; Bennett, Joseph; +7 Authors
Algera, Dirk; Rytwinski, Trina; Taylor, Jessica; Bennett, Joseph; Smokorowski, Karen; Harrison, Philip; Clarke, Keith; Enders, Eva; Power, Michael; Bevelhimer, Mark; Cooke, Steven;
doi: 10.6084/m9.figshare.11759823.v2 , 10.6084/m9.figshare.11759823 , 10.6084/m9.figshare.11759823.v1
doi: 10.6084/m9.figshare.11759823.v2 , 10.6084/m9.figshare.11759823 , 10.6084/m9.figshare.11759823.v1
Additional file 5. Quantitative synthesis database. This file provides the full narrative synthesis database, a database of all data sets that were excluded from quantitative synthesis, and individual databases for all global and intervention type analyses (i.e., for fish injury, immediate and delayed mortality).
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figshare
Dataset . 2023
License: CC BY
Data sources: Datacite
figshare
Dataset . 2020
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figshare
Dataset . 2023
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Dataset . 2023
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figshare
Dataset . 2020
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Dataset . 2023
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Binary black-hole simulation SXS:BBH:0118
Research datakeyboard_double_arrow_right Dataset 2018Publisher:ZenodoFunded by:NSERC, NWO | Precision Gravity: black ...
NSERC ,
NWO| Precision Gravity: black holes, spins and gravitational waves
Authors: Mroue, Abdul; Scheel, Mark; Szilagyi, Bela; Taylor, Nicholas; +6 Authors
Mroue, Abdul; Scheel, Mark; Szilagyi, Bela; Taylor, Nicholas; Boyle, Michael; Zenginoglu, Anil; Lovelace, Geoffrey; Pfeiffer, Harald; Kidder, Larry; Hemberger, Dan;
doi: 10.5281/zenodo.1213426 , 10.5281/zenodo.13166797 , 10.5281/zenodo.13166798 , 10.5281/zenodo.1213427 , 10.5281/zenodo.3273984 , 10.5281/zenodo.3313147 , 10.5281/zenodo.2638453 , 10.5281/zenodo.2621488
doi: 10.5281/zenodo.1213426 , 10.5281/zenodo.13166797 , 10.5281/zenodo.13166798 , 10.5281/zenodo.1213427 , 10.5281/zenodo.3273984 , 10.5281/zenodo.3313147 , 10.5281/zenodo.2638453 , 10.5281/zenodo.2621488
Simulation of a black-hole binary system evolved by the SpEC code.
ZENODOarrow_drop_down
ZENODO
Dataset . 2018
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2019
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2018
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2018
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2019
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2019
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2024
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ZENODO
Dataset . 2018
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2019
License: CC BY
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ZENODO
Dataset . 2018
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2018
License: CC BY
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ZENODO
Dataset . 2019
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2019
License: CC BY
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ZENODO
Dataset . 2024
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ZENODO
Dataset . 2024
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Binary black-hole simulation SXS:BBH:0271
Research datakeyboard_double_arrow_right Dataset 2018Publisher:ZenodoFunded by:NWO | Precision Gravity: black ..., NSERC
NWO| Precision Gravity: black holes, spins and gravitational waves ,
NSERC
Authors: Tony Chu; Kidder, Larry; Pfeiffer, Harald; Scheel, Mark; +4 Authors
Tony Chu; Kidder, Larry; Pfeiffer, Harald; Scheel, Mark; Boyle, Michael; Hemberger, Dan; Lovelace, Geoffrey; Szilagyi, Bela;
doi: 10.5281/zenodo.1214634 , 10.5281/zenodo.2638688 , 10.5281/zenodo.3274518 , 10.5281/zenodo.3316074 , 10.5281/zenodo.1214635 , 10.5281/zenodo.2622349
doi: 10.5281/zenodo.1214634 , 10.5281/zenodo.2638688 , 10.5281/zenodo.3274518 , 10.5281/zenodo.3316074 , 10.5281/zenodo.1214635 , 10.5281/zenodo.2622349
Simulation of a black-hole binary system evolved by the SpEC code.
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ZENODO
Dataset . 2019
License: CC BY
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ZENODO
Dataset . 2018
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ZENODO
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ZENODO
Dataset . 2018
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ZENODO
Dataset . 2019
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Data sources: Microsoft Academic Graph
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ZENODO
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ZENODO
Dataset . 2018
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ZENODO
Dataset . 2019
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ZENODO
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ZENODO
Dataset . 2018
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ZENODO
Dataset . 2019
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Data sources: Microsoft Academic Graph
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Attention to visual motion suppresses neuronal and behavioral sensitivity in nearby feature space
Research datakeyboard_double_arrow_right Collection 2022Publisher:figshareFunded by:NSERC, CIHR
NSERC ,
CIHR
Authors: Yoo, Sang-Ah; Martinez-Trujillo, Julio C.; Treue, Stefan; Tsotsos, John K.; +1 Authors
Yoo, Sang-Ah; Martinez-Trujillo, Julio C.; Treue, Stefan; Tsotsos, John K.; Fallah, Mazyar;
doi: 10.6084/m9.figshare.c.6235082 , 10.6084/m9.figshare.c.6235082.v1
doi: 10.6084/m9.figshare.c.6235082 , 10.6084/m9.figshare.c.6235082.v1
Abstract Background Feature-based attention prioritizes the processing of the attended feature while strongly suppressing the processing of nearby ones. This creates a non-linearity or “attentional suppressive surround” predicted by the Selective Tuning model of visual attention. However, previously reported effects of feature-based attention on neuronal responses are linear, e.g., feature-similarity gain. Here, we investigated this apparent contradiction by neurophysiological and psychophysical approaches. Results Responses of motion direction-selective neurons in area MT/MST of monkeys were recorded during a motion task. When attention was allocated to a stimulus moving in the neurons’ preferred direction, response tuning curves showed its minimum for directions 60–90° away from the preferred direction, an attentional suppressive surround. This effect was modeled via the interaction of two Gaussian fields representing excitatory narrowly tuned and inhibitory widely tuned inputs into a neuron, with feature-based attention predominantly increasing the gain of inhibitory inputs. We further showed using a motion repulsion paradigm in humans that feature-based attention produces a similar non-linearity on motion discrimination performance. Conclusions Our results link the gain modulation of neuronal inputs and tuning curves examined through the feature-similarity gain lens to the attentional impact on neural population responses predicted by the Selective Tuning model, providing a unified framework for the documented effects of feature-based attention on neuronal responses and behavior.
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Collection . 2022
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Additional file 2: Table S2. of Anchored enrichment dataset for true flies (order Diptera) reveals insights into the phylogeny of flower flies (family Syrphidae)
Research datakeyboard_double_arrow_right Dataset 2016Publisher:FigshareFunded by:NSERC, NSF | I-Corps: Anchored Hybrid ..., NSF | Beyond Drosophila: Compar...
NSERC ,
NSF| I-Corps: Anchored Hybrid Enrichment ,
NSF| Beyond Drosophila: Comparative transcriptomics of schizophoran flies to resolve a rapid radiation
Authors: Young, Andrew; Lemmon, Alan; Skevington, Jeffrey; Ximo Mengual; +9 Authors
Young, Andrew; Lemmon, Alan; Skevington, Jeffrey; Ximo Mengual; StĂĽhls, Gunilla; Reemer, Menno; Jordaens, Kurt; Kelso, Scott; Lemmon, Emily; Hauser, Martin; Meyer, Marc De; Misof, Bernhard; Wiegmann, Brian;
doi: 10.6084/m9.figshare.c.3625199_d3.v1 , 10.6084/m9.figshare.c.3625199_d3
doi: 10.6084/m9.figshare.c.3625199_d3.v1 , 10.6084/m9.figshare.c.3625199_d3
Final Probe Regions. Complete listing of all regions used in alignments to generate probes. (XLSX 1446Â kb)
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Interactome rewiring following pharmacological targeting of BET bromodomains
Research datakeyboard_double_arrow_right Dataset 2018Publisher:MendeleyFunded by:WT | Open access research to p..., EC | ULTRA-DD, NSERC +4 projects
WT| Open access research to promote drug discovery. ,
EC| ULTRA-DD ,
NSERC ,
CIHR ,
WT| Structural role of BET bromodomains in transcription. ,
UKRI| ZMYND8-regulation of MITF as potential therapeutic target in melanoma ,
NIH| Center for Computational Mass-Spectrometry
Authors: Lambert, Jean-Philippe;
doi: 10.17632/jb4jjxsbb7 , 10.17632/fzvwgpjx88.1 , 10.17632/fzvwgpjx88 , 10.17632/jb4jjxsbb7.1
doi: 10.17632/jb4jjxsbb7 , 10.17632/fzvwgpjx88.1 , 10.17632/fzvwgpjx88 , 10.17632/jb4jjxsbb7.1
This dataset contains the raw, unprocessed immunofluorescence, live-cell imaging and Western blot data for the manuscript entitled: Interactome rewiring following pharmacological targeting of BET bromodomains. All methods employed to generate this dataset can be found in the accompanying manuscript and supplemental material.
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Dataset . 2018
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DANS-EASY
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Additional file 2: Table S2. of Anchored enrichment dataset for true flies (order Diptera) reveals insights into the phylogeny of flower flies (family Syrphidae)

Interactome rewiring following pharmacological targeting of BET bromodomains

Evolution of stickleback spines through independent cis-regulatory changes at HOXDB

Binary black-hole simulation SXS:BBH:1363

Binary black-hole simulation SXS:BBH:0054

MOESM2 of Reduced sphingolipid hydrolase activities, substrate accumulation and ganglioside decline in Parkinson’s disease

Additional file 5 of What are the relative risks of mortality and injury for fish during downstream passage at hydroelectric dams in temperate regions? A systematic review

Binary black-hole simulation SXS:BBH:0118

Binary black-hole simulation SXS:BBH:0271

Attention to visual motion suppresses neuronal and behavioral sensitivity in nearby feature space

Additional file 2: Table S2. of Anchored enrichment dataset for true flies (order Diptera) reveals insights into the phylogeny of flower flies (family Syrphidae)

Interactome rewiring following pharmacological targeting of BET bromodomains

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