cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.3518764
title: Raw multibeam bathymetry data collected around Bouvetoya in the South Atlantic Ocean on board the R/V Akademik Tryoshnikov during the austral summer of 2016/2017 as part of the Antarctic Circumnavigation Expedition (ACE).

description: <strong>Dataset abstract</strong> An ELAC Nautik 3020 multibeam echo sounder with a 20 kHz transducer mounted on the hull of the R/V Akademik Tryoshnikov, was used to collect multibeam bathymetry data during the Antarctic Circumnavigation Expedition (ACE). This particular dataset was collected around Bouvetoya in the South Atlantic Ocean in the austral summer of 2016/2017. Bathymetry data were used live during the cruise to look for suitable locations where benthic trawling and remotely-operated vehicle deployments could take place, rather than to undertake specific bathymetric surveys. This raw dataset is provided without calibration information for the surface sound velocity or instrumentation itself and should be used with due caution. <strong>Dataset contents</strong> lineYYYYDDmonHHMMSS.xse, data file, proprietary format location.hydrostar, ancillary file, ASCII data_file_header.txt, metadata, text README.txt, metadata, text <strong>Dataset license</strong> This raw multibeam bathymetry dataset is made available under the Creative Commons Attribution 4.0 International License (CC BY 4.0) whose full text can be found at https://creativecommons.org/licenses/by/4.0/
description: The Antarctic Circumnavigation Expedition was made possible by funding from the Swiss Polar Institute and Ferring Pharmaceuticals.
description: {"references": ["David W H Walton, & Jenny Thomas. (2018, November 22). Cruise Report - Antarctic Circumnavigation Expedition (ACE) 20th December 2016 - 19th March 2017 (Version 1.0). Zenodo. http://doi.org/10.5281/zenodo.1443511", "Henry, T., Robinson, C., Haumann, F. A., Thomas, J., Hutchings, J., Schuback, N., Tsukernik, M. and Leonard, K. (2019). Physical and biogeochemical oceanography data from Conductivity, Temperature, Depth (CTD) rosette deployments during the Antarctic Circumnavigation Expedition (ACE). (Version 1.0) [Data set]. Zenodo. http://doi.org/10.5281/zenodo.3247384", "Caress and Chayes, 1993. MB-System Software."]}
DOI: 10.5281/zenodo.3518747
title: Raw multibeam bathymetry data collected around the Balleny Islands, Antarctica on board the R/V Akademik Tryoshnikov during the austral summer of 2016/2017 as part of the Antarctic Circumnavigation Expedition (ACE).

description: <strong>Dataset abstract</strong> An ELAC Nautik 3020 multibeam echo sounder with a 20 kHz transducer mounted on the hull of the R/V Akademik Tryoshnikov, was used to collect multibeam bathymetry data during the Antarctic Circumnavigation Expedition (ACE). This particular dataset was collected around the Balleny Islands, Antarctica in the austral summer of 2016/2017. Bathymetry data were used live during the cruise to look for suitable locations where benthic trawling and remotely-operated vehicle deployments could take place, rather than to undertake specific bathymetric surveys. This raw dataset is provided without calibration information for the surface sound velocity or instrumentation itself and should be used with due caution. <strong>Dataset contents</strong> lineYYYYDDmonHHMMSS.xse, data file, proprietary format location.hydrostar, ancillary file, ASCII data_file_header.txt, metadata, text README.txt, metadata, text <strong>Dataset license</strong> This raw multibeam bathymetry dataset is made available the Creative Commons Attribution 4.0 International License (CC BY 4.0) whose full text can be found at https://creativecommons.org/licenses/by/4.0/
description: The Antarctic Circumnavigation Expedition was made possible by funding from the Swiss Polar Institute and Ferring Pharmaceuticals.
description: {"references": ["David W H Walton, & Jenny Thomas. (2018, November 22). Cruise Report - Antarctic Circumnavigation Expedition (ACE) 20th December 2016 - 19th March 2017 (Version 1.0). Zenodo. http://doi.org/10.5281/zenodo.1443511", "Henry, T., Robinson, C., Haumann, F. A., Thomas, J., Hutchings, J., Schuback, N., Tsukernik, M. and Leonard, K. (2019). Physical and biogeochemical oceanography data from Conductivity, Temperature, Depth (CTD) rosette deployments during the Antarctic Circumnavigation Expedition (ACE). (Version 1.0) [Data set]. Zenodo. http://doi.org/10.5281/zenodo.3247384", "Caress and Chayes, 1993. MB-System Software."]}
DOI: 10.5281/zenodo.3518746
title: Raw multibeam bathymetry data collected around the Balleny Islands, Antarctica on board the R/V Akademik Tryoshnikov during the austral summer of 2016/2017 as part of the Antarctic Circumnavigation Expedition (ACE).

description: <strong>Dataset abstract</strong> An ELAC Nautik 3020 multibeam echo sounder with a 20 kHz transducer mounted on the hull of the R/V Akademik Tryoshnikov, was used to collect multibeam bathymetry data during the Antarctic Circumnavigation Expedition (ACE). This particular dataset was collected around the Balleny Islands, Antarctica in the austral summer of 2016/2017. Bathymetry data were used live during the cruise to look for suitable locations where benthic trawling and remotely-operated vehicle deployments could take place, rather than to undertake specific bathymetric surveys. This raw dataset is provided without calibration information for the surface sound velocity or instrumentation itself and should be used with due caution. <strong>Dataset contents</strong> lineYYYYDDmonHHMMSS.xse, data file, proprietary format location.hydrostar, ancillary file, ASCII data_file_header.txt, metadata, text README.txt, metadata, text <strong>Dataset license</strong> This raw multibeam bathymetry dataset is made available the Creative Commons Attribution 4.0 International License (CC BY 4.0) whose full text can be found at https://creativecommons.org/licenses/by/4.0/
description: The Antarctic Circumnavigation Expedition was made possible by funding from the Swiss Polar Institute and Ferring Pharmaceuticals.
description: {"references": ["David W H Walton, & Jenny Thomas. (2018, November 22). Cruise Report - Antarctic Circumnavigation Expedition (ACE) 20th December 2016 - 19th March 2017 (Version 1.0). Zenodo. http://doi.org/10.5281/zenodo.1443511", "Henry, T., Robinson, C., Haumann, F. A., Thomas, J., Hutchings, J., Schuback, N., Tsukernik, M. and Leonard, K. (2019). Physical and biogeochemical oceanography data from Conductivity, Temperature, Depth (CTD) rosette deployments during the Antarctic Circumnavigation Expedition (ACE). (Version 1.0) [Data set]. Zenodo. http://doi.org/10.5281/zenodo.3247384", "Caress and Chayes, 1993. MB-System Software."]}
DOI: 10.25721/1jym-nv40
title: Information sur sa famille de musicien
DOI: 10.6084/m9.figshare.14709507.v2
title: PROCAT: Product Catalogue Dataset for Implicit Clustering, Permutation Learning and Structure Prediction

description: We introduce PROCAT, a novel e-commerce dataset containing 10,000 expertly designed product catalogues consisting of individual product offers grouped into complementary sections. We aim to address the scarcity of existing datasets in the area of set-to-sequence machine learning tasks, which require complex structure prediction through both implicit clustering and outputting permutations of the predicted clusters. This task's difficulty is further increased by the need to handle rare and unseen offer instances as well as variable catalogue lengths and cluster counts. PROCAT provides catalogue data consisting of over 1.5 million offers across a 4 year period, in both raw text form and with pre-processed features containing information about relative visual placement. In the related paper we include initial experimental results on a proposed benchmark task by testing a number of joint set encoding and permutation learning model architectures.<br>For details regarding the dataset structure and format, please see:https://github.com/mateuszjurewicz/procat#dataset-structure<br>
DOI: 10.25721/4sc7-1j06
title: L'Eternel est mon berger
DOI: 10.6084/m9.figshare.16912678
title: phototrophic biofilms oxygen microprofiles slow/dark

description: oxygen microprofiles measured under slow flow and dark conditions.
DOI: 10.6084/m9.figshare.16912678.v2
title: phototrophic biofilms oxygen microprofiles slow/dark

description: oxygen microprofiles measured under slow flow and dark conditions.
DOI: 10.6084/m9.figshare.16912678.v1
title: phototrophic biofilms oxygen microprofiles slow/dark

description: oxygen microprofiles measured under slow flow and dark conditions.
DOI: 10.25721/x3m8-tc89
title: L'Eternel est mon berger
DOI: 10.6084/m9.figshare.16912630
title: phototrophic biofilms - oxygen microprofiles fast/dark

description: Oxygen microprofiles taken under fast flow and dark conditions
DOI: 10.5517/ccdc.csd.cc284y9p
title: CCDC 2090122: Experimental Crystal Structure Determination

description: Related Article: Chris Gendy, J. Mikko Rautiainen, Aaron Mailman, Heikki M. Tuononen|2021|Chem.-Eur.J.|27|14405|doi:10.1002/chem.202102804
DOI: 10.5517/ccdc.csd.cc284ybq
title: CCDC 2090123: Experimental Crystal Structure Determination

description: Related Article: Chris Gendy, J. Mikko Rautiainen, Aaron Mailman, Heikki M. Tuononen|2021|Chem.-Eur.J.|27|14405|doi:10.1002/chem.202102804
DOI: 10.5517/ccdc.csd.cc284ycr
title: CCDC 2090124: Experimental Crystal Structure Determination

description: Related Article: Chris Gendy, J. Mikko Rautiainen, Aaron Mailman, Heikki M. Tuononen|2021|Chem.-Eur.J.|27|14405|doi:10.1002/chem.202102804
DOI: 10.5517/ccdc.csd.cc284yds
title: CCDC 2090125: Experimental Crystal Structure Determination

description: Related Article: Chris Gendy, J. Mikko Rautiainen, Aaron Mailman, Heikki M. Tuononen|2021|Chem.-Eur.J.|27|14405|doi:10.1002/chem.202102804
DOI: 10.5517/ccdc.csd.cc284yft
title: CCDC 2090126: Experimental Crystal Structure Determination

description: Related Article: Chris Gendy, J. Mikko Rautiainen, Aaron Mailman, Heikki M. Tuononen|2021|Chem.-Eur.J.|27|14405|doi:10.1002/chem.202102804
DOI: 10.5517/ccdc.csd.cc284ygv
title: CCDC 2090127: Experimental Crystal Structure Determination

description: Related Article: Chris Gendy, J. Mikko Rautiainen, Aaron Mailman, Heikki M. Tuononen|2021|Chem.-Eur.J.|27|14405|doi:10.1002/chem.202102804
DOI: 10.5517/ccdc.csd.cc284yhw
title: CCDC 2090128: Experimental Crystal Structure Determination

description: Related Article: Chris Gendy, J. Mikko Rautiainen, Aaron Mailman, Heikki M. Tuononen|2021|Chem.-Eur.J.|27|14405|doi:10.1002/chem.202102804
DOI: 10.5517/ccdc.csd.cc284yjx
title: CCDC 2090129: Experimental Crystal Structure Determination

description: Related Article: Chris Gendy, J. Mikko Rautiainen, Aaron Mailman, Heikki M. Tuononen|2021|Chem.-Eur.J.|27|14405|doi:10.1002/chem.202102804
DOI: 10.5517/ccdc.csd.cc284yky
title: CCDC 2090130: Experimental Crystal Structure Determination

description: Related Article: Chris Gendy, J. Mikko Rautiainen, Aaron Mailman, Heikki M. Tuononen|2021|Chem.-Eur.J.|27|14405|doi:10.1002/chem.202102804
DOI: 10.5517/ccdc.csd.cc2862q9
title: CCDC 2091220: Experimental Crystal Structure Determination

description: Related Article: Benedikt Köstler, Michael Bolte, Hans-Wolfram Lerner, Matthias Wagner|2021|Chem.-Eur.J.|27|14401|doi:10.1002/chem.202102732
DOI: 10.5517/ccdc.csd.cc2862rb
title: CCDC 2091221: Experimental Crystal Structure Determination

description: Related Article: Benedikt Köstler, Michael Bolte, Hans-Wolfram Lerner, Matthias Wagner|2021|Chem.-Eur.J.|27|14401|doi:10.1002/chem.202102732
DOI: 10.5517/ccdc.csd.cc2862sc
title: CCDC 2091222: Experimental Crystal Structure Determination

description: Related Article: Benedikt Köstler, Michael Bolte, Hans-Wolfram Lerner, Matthias Wagner|2021|Chem.-Eur.J.|27|14401|doi:10.1002/chem.202102732
DOI: 10.25721/tg91-en47
title: L'Eternel est mon berger
DOI: 10.6084/m9.figshare.14709507
title: PROCAT: Product Catalogue Dataset for Implicit Clustering, Permutation Learning and Structure Prediction

description: We introduce PROCAT, a novel e-commerce dataset containing 10,000 expertly designed product catalogues consisting of individual product offers grouped into complementary sections. We aim to address the scarcity of existing datasets in the area of set-to-sequence machine learning tasks, which require complex structure prediction through both implicit clustering and outputting permutations of the predicted clusters. This task's difficulty is further increased by the need to handle rare and unseen offer instances as well as variable catalogue lengths and cluster counts. PROCAT provides catalogue data consisting of over 1.5 million offers across a 4 year period, in both raw text form and with pre-processed features containing information about relative visual placement. In the related paper we include initial experimental results on a proposed benchmark task by testing a number of joint set encoding and permutation learning model architectures.<br>For details regarding the dataset structure and format, please see:https://github.com/mateuszjurewicz/procat#dataset-structure<br>
DOI: 10.6084/m9.figshare.14709507.v3
title: PROCAT: Product Catalogue Dataset for Implicit Clustering, Permutation Learning and Structure Prediction

description: We introduce PROCAT, a novel e-commerce dataset containing 10,000 expertly designed product catalogues consisting of individual product offers grouped into complementary sections. We aim to address the scarcity of existing datasets in the area of set-to-sequence machine learning tasks, which require complex structure prediction through both implicit clustering and outputting permutations of the predicted clusters. This task's difficulty is further increased by the need to handle rare and unseen offer instances as well as variable catalogue lengths and cluster counts. PROCAT provides catalogue data consisting of over 1.5 million offers across a 4 year period, in both raw text form and with pre-processed features containing information about relative visual placement. In the related paper we include initial experimental results on a proposed benchmark task by testing a number of joint set encoding and permutation learning model architectures.<br>For details regarding the dataset structure and format, please see:https://github.com/mateuszjurewicz/procat#dataset-structure<br>
DOI: 10.21227/9qvr-mp75
title: Mental Retardation Assessment

description: The video data set was obtained from the Mental Health Center of Renmin Hospital of Wuhan University, it includes 128 children and the video records the behavior of each subject (mainly upper body movements) during clinical intelligence evaluation.The ratio of training set, validation set and test set is 7:1:2.
DOI: 10.25721/t29v-kn69
title: Redites-moi l'histoire de l'amour de Jésus
DOI: 10.25721/er2a-av10
title: Redites-moi l'histoire de l'amour de Jésus
DOI: 10.25721/kbvx-fw03
title: Essai de jeu de l'orgue
DOI: 10.25721/r6fn-ts15
title: Pauvre soldat revenant
DOI: 10.6084/m9.figshare.16912777
title: phototrophic biofilms oxygen microprofiles fast/dark

description: Oxygen microprofiles measured under fast flow and dark conditions.<br>
DOI: 10.6084/m9.figshare.16912777.v1
title: phototrophic biofilms oxygen microprofiles fast/dark

description: Oxygen microprofiles measured under fast flow and dark conditions.<br>
DOI: 10.6084/m9.figshare.16912636
title: phototrophic biofilms oxygen microprofiles fast/light

description: oxygen microprofiles measured under fast flow and light conditions.
DOI: 10.6084/m9.figshare.16912636.v1
title: phototrophic biofilms oxygen microprofiles

description: oxygen microprofiles measured under fast flow and light conditions.
DOI: 10.25721/1jnt-9494
title: A Paris dans cette ville
DOI: 10.25721/z884-2d81
title: Marie, ma petite Marie
DOI: 10.25721/hand-mn72
title: Auprès de ma blonde
DOI: 10.6084/m9.figshare.16912795
title: Short running title: Exposure to SARS-CoV-2 on the subway

description: This is the underlying dataset which has created the graphs for the journal article entitled: Modelling the factors that influence exposure to SARS-CoV-2 on a subway train carriage.
DOI: 10.6084/m9.figshare.16912795.v1
title: Short running title: Exposure to SARS-CoV-2 on the subway

description: This is the underlying dataset which has created the graphs for the journal article entitled: Modelling the factors that influence exposure to SARS-CoV-2 on a subway train carriage.
DOI: 10.21227/ps03-rs19
title: Mental Retardation Assessment

description: The video data set was obtained from the Mental Health Center of Renmin Hospital of Wuhan University, it includes 128 children and the video records the behavior of each subject (mainly upper body movements) during clinical intelligence evaluation.The ratio of training set, validation set and test set is 7:1:2.
DOI: 10.5281/zenodo.5625616
title: Data for "Stable climate simulations using a realistic GCM with neural network parameterizations for atmospheric moist physics and radiation processes"

description: This is sampling data of "Stable climate simulations using a realistic GCM with neural network parameterizations for atmospheric moist physics and radiation processes". 'qv_nn_in' for the large scale specific humidity, [kg/kg]<br> 'T_nn_in' for the large scale temperature, [K]<br> 'dqvls_nn_in' for the large scale moisture advection, [kg/kg/s]<br> 'dTls_nn_in' for the large scale moisture advection, [K/s]<br> 'qtend_check' for the moistening rate by CRM, [kg/kg/s]<br> 'stend_check' for the heating rate by CRM, [K/s]<br> 'SOLS' for direct shorwave solar radiation down to surface, [W/m2]<br> 'SOLSD' for diffusive shortwave solar radiation down to surface, [W/m2]<br> 'SOLL' for direct near infrared solar radiation down to surface, [W/m2]<br> 'SOLLD' for diffusive near infrared solar radiation down to surface, [W/m2]<br> 'SOLIN' for insolation at model top, [W/m2]<br> 'FSNS' for net shortwave radiation at model surface, [W/m2]<br> 'FSNT' for net shortwave radiation at model top, [W/m2]<br> 'FLNS' for net longwave radiation at model surface, [W/m2]<br> 'FLNT' for net longwave radiation at model top, [W/m2]<br> 'SPPS' for surface pressure, [Pa] To download the full dataset of the SPCAM simulation in 1998. Please click the dropbox link: https://www.dropbox.com/s/p841v1tw00rokdy/SPCAM_VAR_1998.tar.gz?dl=0
DOI: 10.5281/zenodo.5625615
title: Data for "Stable climate simulations using a realistic GCM with neural network parameterizations for atmospheric moist physics and radiation processes"

description: This is sampling data of "Stable climate simulations using a realistic GCM with neural network parameterizations for atmospheric moist physics and radiation processes". 'qv_nn_in' for the large scale specific humidity, [kg/kg]<br> 'T_nn_in' for the large scale temperature, [K]<br> 'dqvls_nn_in' for the large scale moisture advection, [kg/kg/s]<br> 'dTls_nn_in' for the large scale moisture advection, [K/s]<br> 'qtend_check' for the moistening rate by CRM, [kg/kg/s]<br> 'stend_check' for the heating rate by CRM, [K/s]<br> 'SOLS' for direct shorwave solar radiation down to surface, [W/m2]<br> 'SOLSD' for diffusive shortwave solar radiation down to surface, [W/m2]<br> 'SOLL' for direct near infrared solar radiation down to surface, [W/m2]<br> 'SOLLD' for diffusive near infrared solar radiation down to surface, [W/m2]<br> 'SOLIN' for insolation at model top, [W/m2]<br> 'FSNS' for net shortwave radiation at model surface, [W/m2]<br> 'FSNT' for net shortwave radiation at model top, [W/m2]<br> 'FLNS' for net longwave radiation at model surface, [W/m2]<br> 'FLNT' for net longwave radiation at model top, [W/m2]<br> 'SPPS' for surface pressure, [Pa] To download the full dataset of the SPCAM simulation in 1998. Please click the dropbox link: https://www.dropbox.com/s/p841v1tw00rokdy/SPCAM_VAR_1998.tar.gz?dl=0
DOI: 10.25721/cs1e-1p60
title: Il était un petit navire
DOI: 10.25721/4be3-0j43
title: Au bord d'une fontaine
DOI: 10.25721/j2hk-az61
title: Réveillez-vous belle endormie
DOI: 10.34740/kaggle/dsv/2765874
title: COVID Vaccination in World (updated daily)
DOI: 10.25721/7g30-dy34
title: En l'honneur du patron, faisons sauter les bouchons
DOI: 10.25721/f7yn-qa19
title: Là-haut sur ces montagnes
DOI: 10.25721/f850-vz54
title: Le bon marin, mais il s'en va
DOI: 10.25721/n6km-jz58
title: Il était une bergère
DOI: 10.25721/xncc-1z58
title: Il y avait un petit bonhomme qui vendait des navets
DOI: 10.25721/4e9g-ta88
title: Il faudra la civière ce soir
DOI: 10.25721/3yyh-gm47
title: Malbrough s'en va-t-en guerre
DOI: 10.25721/b3kf-6x80
title: Mon mari est bien malade
DOI: 10.25721/wypf-c339
title: La belle va t'au marché pour acheter des fraises
DOI: 10.25721/h5cm-7629
title: Au jardin de mon père il y a un pommier doux
DOI: 10.25721/nnc2-5j24
title: Mon âne avait les quatre pieds blancs
DOI: 10.25345/c50c3f
title: MassIVE MSV000088294 - Phosphorylation data from Thymoma and thymic cell lines
title: Thymic epithelial tumors (TETs, which consist of thymoma and thymic carcinoma) are rare epithelial tumors of the thymus having amongst the lowest mutational burden of all cancers. There are limited treatment options for patients with advanced disease. The complexity and rarity of the disease hampers the development of better therapeutics. Here, we report large-scale identification and quantitation of protein and phosphorylation abundance by proteomic approach and reveal the differences between thymomas and thymic carcinomas. Three-state SILAC quantitative mass spectrometry was employed to quantify the phosphoproteome of the two thymoma cell lines (IU-TAB1 and T1682), and three thymic carcinoma cell lines (MP57, T1889 and Ty82).
DOI: 10.25721/s359-6d40
title: So seir berceautin
DOI: 10.5281/zenodo.5636357
title: Two new Gastrotheca from northern Peru dataset

description: Nexus file containing a DNA sequences matrix of 5008 characters and 77 taxa. Fragments of the following genes are included: 12S, 16S, ND1, POMC, RAG.
DOI: 10.5281/zenodo.5636356
title: Two new Gastrotheca from northern Peru dataset

description: Nexus file containing a DNA sequences matrix of 5008 characters and 77 taxa. Fragments of the following genes are included: 12S, 16S, ND1, POMC, RAG.
DOI: 10.5517/ccdc.csd.cc1pscnh
title: CCDC 1572557: Experimental Crystal Structure Determination

description: Related Article: Jan W. Bats, Hamid R. Nasiri, Harald Schwalbe|2021|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc250y16
title: CCDC 1996897: Experimental Crystal Structure Determination

description: Related Article: Pedro Levín, Lucía M. Balsa, Carlos P. Silva, Austin E. Herzog, Andrés Vega, Jorge Pavez, Ignacio E. León, Luis Lemus|2021|Eur.J.Inorg.Chem.|2021|4103|doi:10.1002/ejic.202100673
DOI: 10.5517/ccdc.csd.cc250y27
title: CCDC 1996898: Experimental Crystal Structure Determination

description: Related Article: Pedro Levín, Lucía M. Balsa, Carlos P. Silva, Austin E. Herzog, Andrés Vega, Jorge Pavez, Ignacio E. León, Luis Lemus|2021|Eur.J.Inorg.Chem.|2021|4103|doi:10.1002/ejic.202100673
DOI: 10.25721/neh2-5k29
title: Bonsoir ivrogne, rouleur de cabaret
DOI: 10.15468/yrsbzg
title: A new species of the plant bug genus Pilophorus Hahn from the Ogasawara (Bonin) Islands, Japan (Hemiptera: Heteroptera: Miridae: Phylinae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Polhemus, Dan A., Yasunaga, Tomohide (2021): A new species of the plant bug genus Pilophorus Hahn from the Ogasawara (Bonin) Islands, Japan (Hemiptera: Heteroptera: Miridae: Phylinae). Zootaxa 5060 (3): 447-450, DOI: https://doi.org/10.11646/zootaxa.5060.3.10
DOI: 10.18430/m37nq8
title: X-ray diffraction data for the c-TERMINAL BROMODOMAIN OF HUMAN BRD2 WITH N-ethyl-3-(1-methyl-1H-1,2,3-triazol-4-yl)-4-(pyridin-2-ylmethoxy)benzamide (7NQ8)