cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4415734
title: AGO2 localises to cytokinetic protrusions in a p38 dependent manner and is needed for accurate cell division.

description: Argonaute 2 (AGO2) is an indispensable component of the RNA-induced silencing complex, operating at the transcriptional or posttranscriptional level. It is compartmentalized into structures such as GW- and P-bodies, stress granules and adherens junctions as well as the midbody. Here we show using immunofluorescence, image- and bioinformatic analysis and cytogenetics that AGO2 also resides in membrane protrusions such as open- and close-ended tubes. The latter are cytokinetic bridges where AGO2 colocalizes at the midbody-arms with cytoskeletal components such as α-Τubulin and Aurora B and various kinases. AGO2, phosphorylated on serine 387 is located together with Dicer at the midbody ring in a manner dependent on p38 MAPK activity. We further show that AGO2 is stress sensitive and important to ensure the proper chromosome segregation and cytokinetic fidelity. We suggest that AGO2 is part of a regulatory mechanism triggered by cytokinetic stress to generate the appropriate micro-environment for local transcript homeostasis. <br> Statement: AGO2 resides in open-ended tunneling nanotubes and close-ended cytokinetic bridges. At the latter location AGO2 colocalises with cell division components and the authors show that AGO2 deregulation impairs cell division fidelity.
description: This work has been funded in part by the European Union's Horizon 2020 Research and Innovation Program under Grant Agreement no 668031 (GALAXY: Gut-and-Liver Axis in Alcoholic Liver Fibrosis) and by Greece and the European Union (European Social Fund-ESF) through Operational Programme "Human Resources Development, Education and Lifelong Learning" in the context of the project "Strengthening Human Resources Research Potential via Doctorate Research" (MIS-5000432), implemented by the State Scholarships Foundation (IKY). The authors would like to thank Dr. Fay Christodoulou for introducing them to the AGO amazing world. We would like to express our appreciation to Mr Nicholas Kalavros for his contribution to this work in bioinformatic and technical procedures. We would also like to thank Dr. Eleni Rigana for her precious technical assistance with the confocal laser scanning microscopy and Dr. Skarlatos Dedos for kindly providing technical and scientific support, as well as reagents for the iPLA assay. Finally, we would like to thank the reviewers for the constructive criticism that allowed us to greatly improve the quality of the paper. The authors declare no competing financial interests. Conceptualization and design of the work: VIP, EA, Funding acquisition: GALAXY (HORIZON 2020) and IKY (State Scholarships Foundation), Investigation (experimental work): VIP, Resources: JT, Image analysis/ Software: AD, VF, Karyotyping/ Chromosome assays: ΕD, S. Gagos, Scientific supervision: EA, Manuscript drafting (writing): VIP, AD, S. Georgiou, JT, AV, MT, DT, ST-B, DJS, EA, Microscopy and Image Analysis consulting: SNP, TEM microscopy: IK, SEM microscopy: EC
DOI: 10.5281/zenodo.4270680
title: AGO2 localises to cytokinetic protrusions in a p38 dependent manner and is needed for accurate cell division.

description: Argonaute 2 (AGO2) is an indispensable component of the RNA-induced silencing complex, operating at the transcriptional or posttranscriptional level. It is compartmentalized into structures such as GW- and P-bodies, stress granules and adherens junctions as well as the midbody. Here we show using immunofluorescence, image- and bioinformatic analysis and cytogenetics that AGO2 also resides in membrane protrusions such as open- and close-ended tubes. The latter are cytokinetic bridges where AGO2 colocalizes at the midbody-arms with cytoskeletal components such as α-Τubulin and Aurora B and various kinases. AGO2, phosphorylated on serine 387 is located together with Dicer at the midbody ring in a manner dependent on p38 MAPK activity. We further show that AGO2 is stress sensitive and important to ensure the proper chromosome segregation and cytokinetic fidelity. We suggest that AGO2 is part of a regulatory mechanism triggered by cytokinetic stress to generate the appropriate micro-environment for local transcript homeostasis. <br> Statement: AGO2 resides in open-ended tunneling nanotubes and close-ended cytokinetic bridges. At the latter location AGO2 colocalises with cell division components and the authors show that AGO2 deregulation impairs cell division fidelity.
description: This work has been funded in part by the European Union's Horizon 2020 Research and Innovation Program under Grant Agreement no 668031 (GALAXY: Gut-and-Liver Axis in Alcoholic Liver Fibrosis) and by Greece and the European Union (European Social Fund-ESF) through Operational Programme "Human Resources Development, Education and Lifelong Learning" in the context of the project "Strengthening Human Resources Research Potential via Doctorate Research" (MIS-5000432), implemented by the State Scholarships Foundation (IKY). The authors would like to thank Dr. Fay Christodoulou for introducing them to the AGO amazing world. We would like to express our appreciation to Mr Nicholas Kalavros for his contribution to this work in bioinformatic and technical procedures. We would also like to thank Dr. Eleni Rigana for her precious technical assistance with the confocal laser scanning microscopy and Dr. Skarlatos Dedos for kindly providing technical and scientific support, as well as reagents for the iPLA assay. Finally, we would like to thank the reviewers for the constructive criticism that allowed us to greatly improve the quality of the paper. The authors declare no competing financial interests. Conceptualization and design of the work: VIP, EA, Funding acquisition: GALAXY (HORIZON 2020) and IKY (State Scholarships Foundation), Investigation (experimental work): VIP, Resources: JT, Image analysis/ Software: AD, VF, Karyotyping/ Chromosome assays: ΕD, S. Gagos, Scientific supervision: EA, Manuscript drafting (writing): VIP, AD, S. Georgiou, JT, AV, MT, DT, ST-B, DJS, EA, Microscopy and Image Analysis consulting: SNP, TEM microscopy: IK, SEM microscopy: EC
DOI: 10.12760/02-2015-1-09
title: Macrobenthos composition at the shoreline of Kislo-Sladkoye Lake, separating from the White Sea

description: Kislo-Sladkoye Lake is a unique model reservoir separating from the White Sea, which requires careful comprehensive interdisciplinary study of all characteristics. The lake is a subject of system-atic hydrological and hydrochemical surveys. An integral qualitative study of the macrozoobenthos at the shoreline of the lake has been conducted for the first time. Fourteen invertebrate macrozoo-benthic taxa were found. Mass species distribution boundaries were determined. Such marine an-imals as Mytilus edulis, Semibalanus balanoides, Littorina saxatilis, are only found at the marine side beyond the lake rapid. Brackish species show three distribution patterns: Gammarus duebeni, chionomids, Haliplus apicalis are met around the lake; Hydrobia ulvae, Chironomus salinarius, Enochrus halophilus are absent near the lake rapid; diptera larvae Setacera aurata are only found on slightly sloping coast parts. 
		The collected data allowed us to map the lake zonation based on the species composition. Three zones are allocated: Marine fauna zone on the east near the rapid; brackish fauna around the lake and enriched muddy shallows in the northern part.
DOI: 10.5281/zenodo.4415784
title: Students' Perspective on Online teaching in higher institutions during COVID 19

description: <strong>Nigeria Students' Perspective on Online teaching in higher institutions during COVID 19Students' Perspective on Online teaching in higher institutions during COVID 19</strong>
DOI: 10.5281/zenodo.4415783
title: Students' Perspective on Online teaching in higher institutions during COVID 19

description: <strong>Nigeria Students' Perspective on Online teaching in higher institutions during COVID 19Students' Perspective on Online teaching in higher institutions during COVID 19</strong>
DOI: 10.21258/1723533
title: Swiss national forest inventory - Result table No. 892051
DOI: 10.5281/zenodo.4415778
title: A Survey on the Adoption of Patterns for Engineering Software for the Cloud - Response Dataset

description: This work takes as a starting point a collection of patterns for engineering software for the cloud and tries to find how they are regarded and adopted by professionals. We investigate (1) their relevance for professional software developers, (2) the extent to which product and company characteristics influence their adoption, and (3) how adopting some patterns might correlate with the likelihood of adopting others. For this purpose, we surveyed 102 practitioners using an online questionnaire. Amongst other findings, we conclude that most companies are using these patterns, with the overwhelming majority (97%) using at least one. We observe that the mean pattern adoption tends to increase as companies mature, namely when varying the product operation complexity, active monthly users, and company size. Finally, we establish clear correlations in the adoption of specific pairs of patterns, with conditional probabilities as high as 94%, which hints on how some practices are dependent or influence the adoption of others.
DOI: 10.5281/zenodo.3755045
title: A Survey on the Adoption of Patterns for Engineering Software for the Cloud - Response Dataset

description: This work takes as a starting point a collection of patterns for engineering software for the cloud and tries to find how they are regarded and adopted by professionals. We investigate (1) their relevance for professional software developers, (2) the extent to which product and company characteristics influence their adoption, and (3) how adopting some patterns might correlate with the likelihood of adopting others. For this purpose, we surveyed 102 practitioners using an online questionnaire. Amongst other findings, we conclude that most companies are using these patterns, with the overwhelming majority (97%) using at least one. We observe that the mean pattern adoption tends to increase as companies mature, namely when varying the product operation complexity, active monthly users, and company size. Finally, we establish clear correlations in the adoption of specific pairs of patterns, with conditional probabilities as high as 94%, which hints on how some practices are dependent or influence the adoption of others.
DOI: 10.5281/zenodo.4415614
title: AGO2 localises to cytokinetic protrusions in a p38 dependent manner and is needed for accurate cell division.

description: Argonaute 2 (AGO2) is an indispensable component of the RNA-induced silencing complex, operating at the transcriptional or posttranscriptional level. It is compartmentalized into structures such as GW- and P-bodies, stress granules and adherens junctions as well as the midbody. Here we show using immunofluorescence, image- and bioinformatic analysis and cytogenetics that AGO2 also resides in membrane protrusions such as open- and close-ended tubes. The latter are cytokinetic bridges where AGO2 colocalizes at the midbody-arms with cytoskeletal components such as α-Τubulin and Aurora B and various kinases. AGO2, phosphorylated on serine 387 is located together with Dicer at the midbody ring in a manner dependent on p38 MAPK activity. We further show that AGO2 is stress sensitive and important to ensure the proper chromosome segregation and cytokinetic fidelity. We suggest that AGO2 is part of a regulatory mechanism triggered by cytokinetic stress to generate the appropriate micro-environment for local transcript homeostasis. <br> Statement: AGO2 resides in open-ended tunneling nanotubes and close-ended cytokinetic bridges. At the latter location AGO2 colocalises with cell division components and the authors show that AGO2 deregulation impairs cell division fidelity.
description: This work has been funded in part by the European Union's Horizon 2020 Research and Innovation Program under Grant Agreement no 668031 (GALAXY: Gut-and-Liver Axis in Alcoholic Liver Fibrosis) and by Greece and the European Union (European Social Fund-ESF) through Operational Programme "Human Resources Development, Education and Lifelong Learning" in the context of the project "Strengthening Human Resources Research Potential via Doctorate Research" (MIS-5000432), implemented by the State Scholarships Foundation (IKY). The authors would like to thank Dr. Fay Christodoulou for introducing them to the AGO amazing world. We would like to express our appreciation to Mr Nicholas Kalavros for his contribution to this work in bioinformatic and technical procedures. We would also like to thank Dr. Eleni Rigana for her precious technical assistance with the confocal laser scanning microscopy and Dr. Skarlatos Dedos for kindly providing technical and scientific support, as well as reagents for the iPLA assay. Finally, we would like to thank the reviewers for the constructive criticism that allowed us to greatly improve the quality of the paper. The authors declare no competing financial interests. Conceptualization and design of the work: VIP, EA, Funding acquisition: GALAXY (HORIZON 2020) and IKY (State Scholarships Foundation), Investigation (experimental work): VIP, Resources: JT, Image analysis/ Software: AD, VF, Karyotyping/ Chromosome assays: ΕD, S. Gagos, Scientific supervision: EA, Manuscript drafting (writing): VIP, AD, S. Georgiou, JT, AV, MT, DT, ST-B, DJS, EA, Microscopy and Image Analysis consulting: SNP, TEM microscopy: IK, SEM microscopy: EC
DOI: 10.5281/zenodo.3477932
title: Web robot detection - Server logs

description: This dataset contains server logs from the search engine of the library and information center of the Aristotle University of Thessaloniki in Greece (http://search.lib.auth.gr/). The search engine enables users to check the availability of books and other written works, and search for digitized material and scientific publications. The server logs obtained span an entire month, from March 1st to March 31 2018 and consist of 4,091,155 requests with an average of 131,973 requests per day and a standard deviation of 36,996.7 requests. In total, there are requests from 27,061 unique IP addresses and 3,441 unique user-agent strings. The server logs are in JSON format and they are anonymized by masking the last 6 digits of the IP address and by hashing the last part of the URLs requested (after last /). The dataset also contains the processed form of the server logs as a labelled dataset of log entries grouped into sessions along with their extracted features (simple semantic features). We make this dataset publicly available, the first one in this domain, in order to provide a common ground for testing web robot detection methods, as well as other methods that analyze server logs.<br> <br>
description: {"references": ["Lagopoulos, A., & Tsoumakas, G. (2020). Content-aware web robot detection. Applied Intelligence, 50(11), 4017-4028."]}
DOI: 10.5281/zenodo.3477931
title: Web robot detection - Server logs

description: This dataset contains server logs from the search engine of the library and information center of the Aristotle University of Thessaloniki in Greece (http://search.lib.auth.gr/). The search engine enables users to check the availability of books and other written works, and search for digitized material and scientific publications. The server logs obtained span an entire month, from March 1st to March 31 2018 and consist of 4,091,155 requests with an average of 131,973 requests per day and a standard deviation of 36,996.7 requests. In total, there are requests from 27,061 unique IP addresses and 3,441 unique user-agent strings. The server logs are in JSON format and they are anonymized by masking the last 6 digits of the IP address and by hashing the last part of the URLs requested (after last /). The dataset also contains the processed form of the server logs as a labelled dataset of log entries grouped into sessions along with their extracted features (simple semantic features). We make this dataset publicly available, the first one in this domain, in order to provide a common ground for testing web robot detection methods, as well as other methods that analyze server logs.<br> <br>
description: {"references": ["Lagopoulos, A., & Tsoumakas, G. (2020). Content-aware web robot detection. Applied Intelligence, 50(11), 4017-4028."]}
DOI: 10.21258/1762064
title: Swiss national forest inventory - Result table No. 898686
DOI: 10.21258/1736609
title: Swiss national forest inventory - Result table No. 902263
DOI: 10.21258/1740349
title: Swiss national forest inventory - Result table No. 899124
DOI: 10.21258/1735797
title: Swiss national forest inventory - Result table No. 898830
DOI: 10.21258/1740657
title: Swiss national forest inventory - Result table No. 897451
DOI: 10.6084/m9.figshare.13517090.v1
title: eggnog annotations batch2

description: eggnog short read annotations
DOI: 10.6084/m9.figshare.13517090
title: eggnog annotations batch2

description: eggnog short read annotations
DOI: 10.21258/1737737
title: Swiss national forest inventory - Result table No. 891892
DOI: 10.21258/1735904
title: Swiss national forest inventory - Result table No. 898349
DOI: 10.21258/1732710
title: Swiss national forest inventory - Result table No. 897300
DOI: 10.21258/1759623
title: Swiss national forest inventory - Result table No. 898162
DOI: 10.5281/zenodo.3741465
title: Seismological dataset for 2018 West Bohemia earthquake swarm

description: Dataset used in the study: T. Eulenfeld (2020), Toward source region tomography with inter-source interferometry: Shear wave velocity from 2018 West Bohemia swarm earthquakes, <em>Journal of Geophysical Research: Solid Earth</em>, 125, e2020JB019931, doi: 10.1029/2020JB019931. The dataset includes HYPODD pha file with relocated earthquake catalog Text file with focal mechanisms of 13 largest earthquakes Text file with coordinates of 9 WEBNET stations MSEED files of waveforms of earthquakes with magnitude larger than 1.8 Citation for waveforms: Institute of Geophysics, Academy of Sciences of the Czech Republic (1991): West Bohemia Local Seismic Network. International Federation of Digital Seismograph Networks. Dataset/Seismic Network. 10.7914/SN/WB Citation for earthquake catalog: Bachura M, Fischer T, Doubravová J, Horálek J, From earthquake swarm to a main shock–aftershocks: the 2018 activity in West Bohemia/Vogtland (2021), <em>Geophysical Journal International</em>, 224 (33): 1835–1848, doi: 10.1093/gji/ggaa523 Citation for focal mechanisms: Plenefisch T and Barth L (2019), The May 2018 earthquake swarm in Vogtland/NW-Bohemia: Spatiotemporal evolution and focal mechanism determinations, in Geophysical Research Abstracts, volume 21, EGU2019–9356
DOI: 10.21258/1724226
title: Swiss national forest inventory - Result table No. 897041
DOI: 10.12760/01-2012-1-01
title: Ocean colour and distribution of suspended particulates in the St. Lawrence Estuary.

description: Distribution of total suspended particulate matter (SPM) in the St Lawrence estuary was investigated based on spaceborne ocean colour measurements. Biogeooptical models were constructed and validated with in situ biogeochemical and optical data obtained during spring of 2000 and 2001. The resulting remote sensing reflectance (Rrs) model was applied to derive SPM maps during spring and fall of two years with different river discharge (i.e., 'low' in 2001, 'high' in 2000). Uncertainty of SPM estimates was quantified and SPM budgets were computed for different estuarine regions. The average relative error of SPM calculations was 36.6% with a range between 9.6 and 89.6%. The largest bias of SPM estimates (error &gt;100%) was associated with the interference of chromophoric dissolved organic matter. For the 'high' river discharge year, SPM concentration was higher throughout the estuary during spring (average: 6.1 g m-3). Conversely, SPM levels during a 'low' river discharge year were higher during fall (average: 4.1 g m-3). Highest concentrations of SPM along the estuary (i.e., up to 21 g m-3) were detected nearby the maximum turbidity zone and a frontal system located in the vicinity of the Outardes delta in the lower estuary. Field and satellite data suggest different responses of SPM distributions to changes on river discharge (e.g., bank erosion, clay deflocculation) depending on the period of the year.
DOI: 10.6084/m9.figshare.13517108
title: eggnog annotations batch4

description: eggnog short read annotations
DOI: 10.6084/m9.figshare.13517108.v1
title: eggnog annotations batch4

description: eggnog short read annotations
DOI: 10.5281/zenodo.4415795
title: Data set and code supporting Marshall et al., "An inventory of online reptile images"

description: Data set and code supporting: MARSHALL, B.M., FREED, P., VITT, L.J., BERNARDO, P., VOGEL, G., LOTZKAT, S., FRANZEN, M., HALLERMANN, J., SAGE, R.D., BUSH, B. and DUARTE, M.R., 2020. An inventory of online reptile images. <em>Zootaxa</em>, <em>4896</em>(2), pp.251-264. DOI:10.11646/zootaxa.4896.2.6 Data includes: Supplementary Table 1. List of all species and the number of photos in each of the 6 repositories: "SuppData1_Species_Photo_Count_Table_2020-08-04_no_syn.csv" Supplementary Table 2. List of species without photo in any of the 6 repositories: "SuppData2_Species_no_photos.csv" Supplementary Table 3. Per country summary data of number of species present and number with images: "SuppData3_Country_species_counts.csv" Reptile Database species checklist: "reptile_checklist_2020_04.csv" Reptile Database species synonyms used in second Wikimedia search: "reptile names 2019 syno.csv" Code includes: R code used to retrieve Flickr photograph metadata: "SuppCode1_Flickr_search.R" R code used to retrieve Wikimedia photograph metadata: "SuppCode2_Wikimedia_query.R" R code used to retrieve HerpMapper photograph metadata: "SuppCode3_HerpMapper_search.R" R code used to generate figures: "SuppCode4_Figure Generation.R" Also includes Zootaxa supplementary table.
DOI: 10.5281/zenodo.4010154
title: Data set and code supporting Marshall et al., "An inventory of online reptile images"

description: Data set and code supporting: MARSHALL, B.M., FREED, P., VITT, L.J., BERNARDO, P., VOGEL, G., LOTZKAT, S., FRANZEN, M., HALLERMANN, J., SAGE, R.D., BUSH, B. and DUARTE, M.R., 2020. An inventory of online reptile images. <em>Zootaxa</em>, <em>4896</em>(2), pp.251-264. DOI:10.11646/zootaxa.4896.2.6 Data includes: Supplementary Table 1. List of all species and the number of photos in each of the 6 repositories: "SuppData1_Species_Photo_Count_Table_2020-08-04_no_syn.csv" Supplementary Table 2. List of species without photo in any of the 6 repositories: "SuppData2_Species_no_photos.csv" Supplementary Table 3. Per country summary data of number of species present and number with images: "SuppData3_Country_species_counts.csv" Reptile Database species checklist: "reptile_checklist_2020_04.csv" Reptile Database species synonyms used in second Wikimedia search: "reptile names 2019 syno.csv" Code includes: R code used to retrieve Flickr photograph metadata: "SuppCode1_Flickr_search.R" R code used to retrieve Wikimedia photograph metadata: "SuppCode2_Wikimedia_query.R" R code used to retrieve HerpMapper photograph metadata: "SuppCode3_HerpMapper_search.R" R code used to generate figures: "SuppCode4_Figure Generation.R" Also includes Zootaxa supplementary table.
DOI: 10.5517/ccdc.csd.cc22dgwv
title: CCDC 1918617: Experimental Crystal Structure Determination

description: Related Article: Nathaniel Owusu Boadi, Selina Ama Saah, Michael Baah Mensah, Johannes A. M. Awudza|2020|Adv.Mater.Sci.Eng.|2020|8881921|doi:10.1155/2020/8881921
DOI: 10.5517/ccdc.csd.cc240jtj
title: CCDC 1966727: Experimental Crystal Structure Determination

description: Related Article: Mengyuan Zhang|2019|CSD Communication|||
description: Related Article: Meng-Yuan Zhang, Xiao Liang, Dan-Ning Ni, Di-Hong Liu, Qian Peng, Cui-Hua Zhao|2020|Org.Lett.|23|2|doi:10.1021/acs.orglett.0c02463