cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.715262
title: Dog movie stars and dog breed popularity (data)

description: The moviesAnalyzed.csv file is a comma-separatede-value file with the<br>data used in Ghirlanda S, Acerbi A, Herzog H, "Dog movie stars and dog<br>breed popularity," currently under review at Proceedings of the Royal<br>Society of Lomdon, B. The columns in the file have the meaning given below. When a piece of<br>information was not found or cannot be computed, it is given as NA<br>(see paper for possible reasons). The quantities before[n], after[n], and effect[n] are calculated as<br>given in the paper. ------------------------------------------------------------------------ dog: name of the dog actor breed: the portrayed dog's breed year: the year of movie release title: the movie title earnings1: movie earnings during the opening weekend (in 2012 USD) earnings: total movie earnings (in 2012 USD) disney: whether the movies has been produced by the Walt Disney Company before[n]: the n-year popularity trend of the considered breed before<br>movie release after[n]: the n-year popularity trend of the considered breed after<br>movie release popularity[n]: average number of registrations for the considered<br>breed in the 2n+1 years around movie release (between n years before<br>and n years after) effect[n]: the n-year effect of the movie on the breed's popularity trend excess[n]: registrations of the considered breed attributable to movie<br>release (actual registrations over the n years after movie release<br>minus registrations predicted based on the trend observed n years<br>before movie release) viewers: estimated number of people who saw the movie viewers1: estimated number of people who saw the movie over its<br>opening weekend
DOI: 10.6084/m9.figshare.715841.v2
title: "Insectivore" mammal skulls, ventral view

description: Photographs of ventral views of "insectivore" mammal skulls (Afrosoricida, Erinaceomorpha, Soricomorpha and Notoryctemorphia) from the American Museum of Natural History (AMNH) and the Smithsonian Institute (SI). I can provide a list of the species identities corresponding to each specimen ID number. Alternatively, species may be identified by searching the online museum databases for the specimen ID number. I photographed the skulls on a flat plane relative to the camera and the scale bar has 1mm as the smallest demarcation. Images are grey scale TIF files labelled with the museum specimen ID number, the specimen identity (cranial) and view (ventral) along with the date that I took the photograph. Some specimens were photographed three times, re-positioning the skull in between each picture. They are labelled with the same museum specimen number and then _1A, _2A and _3A to indicate that they are replicate pictures of the same skull. These photos form part of my PhD research on morphological convergent evolution among tenrecs and other "insectivore" mammal species.
DOI: 10.6084/m9.figshare.715890.v4
title: "Insectivore" mammal skulls, lateral view

description: Photographs of lateral views of "insectivore" mammal skulls (Afrosoricida, Erinaceomorpha, Soricomorpha and Notoryctemorphia) from the American Museum of Natural History (AMNH) and the Smithsonian Institute (SI). I can provide a list of the species identities corresponding to each specimen ID number. Alternatively, species may be identified by searching the online museum databases for the specimen ID number. I photographed the skulls on a flat plane relative to the camera and the scale bar has 1mm as the smallest demarcation. Images are grey scale TIF files labelled with the museum specimen ID number, the specimen identity (cranial) and view (lateral) along with the date that I took the photograph. Most pictures are of the right lateral side, any pictures of the left side include "left" in their file name. Some specimens were photographed three times, re-positioning the skull in between each picture. They are labelled with the same museum specimen number and then _1A, _2A and _3A to indicate that they are replicate pictures of the same skull. These photos form part of my PhD research on morphological convergent evolution among tenrecs and other "insectivore" mammal species.
DOI: 10.6084/m9.figshare.715242
title: Bioinformatics Cores & New Technologies: The evolving role of 21st Century Bioinformatics Core Facilities

description: Slides presented at the first annual ABRF MADSSCi Meeting (http://madssci.my.abrf.org/), June 2013.
DOI: 10.6084/m9.figshare.715080
title: Gaussian Job Archive for C4H6NO3S(1-)

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.715242.v1
title: Bioinformatics Cores & New Technologies: The evolving role of 21st Century Bioinformatics Core Facilities

description: Slides presented at the first annual ABRF MADSSCi Meeting (http://madssci.my.abrf.org/), June 2013.
DOI: 10.6084/m9.figshare.715841.v3
title: "Insectivore" mammal skulls, ventral view

description: Photographs of ventral views of "insectivore" mammal skulls (Afrosoricida, Erinaceomorpha, Soricomorpha and Notoryctemorphia) from the American Museum of Natural History (AMNH) and the Smithsonian Institute (SI). I can provide a list of the species identities corresponding to each specimen ID number. Alternatively, species may be identified by searching the online museum databases for the specimen ID number. I photographed the skulls on a flat plane relative to the camera and the scale bar has 1mm as the smallest demarcation. Images are grey scale TIF files labelled with the museum specimen ID number, the specimen identity (cranial) and view (ventral) along with the date that I took the photograph. Some specimens were photographed three times, re-positioning the skull in between each picture. They are labelled with the same museum specimen number and then _1A, _2A and _3A to indicate that they are replicate pictures of the same skull. These photos form part of my PhD research on morphological convergent evolution among tenrecs and other "insectivore" mammal species.
DOI: 10.6084/m9.figshare.715080.v1
title: Gaussian Job Archive for C4H6NO3S(1-)

description: Archive of work produced using the resources of the Imperial College High Performance Computing Service.
DOI: 10.6084/m9.figshare.715262.v1
title: Dog movie stars and dog breed popularity (data)

description: The moviesAnalyzed.csv file is a comma-separatede-value file with the<br>data used in Ghirlanda S, Acerbi A, Herzog H, "Dog movie stars and dog<br>breed popularity," currently under review at Proceedings of the Royal<br>Society of Lomdon, B. The columns in the file have the meaning given below. When a piece of<br>information was not found or cannot be computed, it is given as NA<br>(see paper for possible reasons). The quantities before[n], after[n], and effect[n] are calculated as<br>given in the paper. ------------------------------------------------------------------------ dog: name of the dog actor breed: the portrayed dog's breed year: the year of movie release title: the movie title earnings1: movie earnings during the opening weekend (in 2012 USD) earnings: total movie earnings (in 2012 USD) disney: whether the movies has been produced by the Walt Disney Company before[n]: the n-year popularity trend of the considered breed before<br>movie release after[n]: the n-year popularity trend of the considered breed after<br>movie release popularity[n]: average number of registrations for the considered<br>breed in the 2n+1 years around movie release (between n years before<br>and n years after) effect[n]: the n-year effect of the movie on the breed's popularity trend excess[n]: registrations of the considered breed attributable to movie<br>release (actual registrations over the n years after movie release<br>minus registrations predicted based on the trend observed n years<br>before movie release) viewers: estimated number of people who saw the movie viewers1: estimated number of people who saw the movie over its<br>opening weekend
DOI: 10.6084/m9.figshare.715262.v3
title: Dog movie stars and dog breed popularity (data)

description: The moviesAnalyzed.csv file is a comma-separatede-value file with the<br>data used in Ghirlanda S, Acerbi A, Herzog H, "Dog movie stars and dog<br>breed popularity," currently under review at Proceedings of the Royal<br>Society of Lomdon, B. The columns in the file have the meaning given below. When a piece of<br>information was not found or cannot be computed, it is given as NA<br>(see paper for possible reasons). The quantities before[n], after[n], and effect[n] are calculated as<br>given in the paper. ------------------------------------------------------------------------ dog: name of the dog actor breed: the portrayed dog's breed year: the year of movie release title: the movie title earnings1: movie earnings during the opening weekend (in 2012 USD) earnings: total movie earnings (in 2012 USD) disney: whether the movies has been produced by the Walt Disney Company before[n]: the n-year popularity trend of the considered breed before<br>movie release after[n]: the n-year popularity trend of the considered breed after<br>movie release popularity[n]: average number of registrations for the considered<br>breed in the 2n+1 years around movie release (between n years before<br>and n years after) effect[n]: the n-year effect of the movie on the breed's popularity trend excess[n]: registrations of the considered breed attributable to movie<br>release (actual registrations over the n years after movie release<br>minus registrations predicted based on the trend observed n years<br>before movie release) viewers: estimated number of people who saw the movie viewers1: estimated number of people who saw the movie over its<br>opening weekend
DOI: 10.6084/m9.figshare.715841.v4
title: "Insectivore" mammal skulls, ventral view

description: Photographs of ventral views of "insectivore" mammal skulls (Afrosoricida, Erinaceomorpha, Soricomorpha and Notoryctemorphia) from the American Museum of Natural History (AMNH) and the Smithsonian Institute (SI). I can provide a list of the species identities corresponding to each specimen ID number. Alternatively, species may be identified by searching the online museum databases for the specimen ID number. I photographed the skulls on a flat plane relative to the camera and the scale bar has 1mm as the smallest demarcation. Images are grey scale TIF files labelled with the museum specimen ID number, the specimen identity (cranial) and view (ventral) along with the date that I took the photograph. Some specimens were photographed three times, re-positioning the skull in between each picture. They are labelled with the same museum specimen number and then _1A, _2A and _3A to indicate that they are replicate pictures of the same skull. These photos form part of my PhD research on morphological convergent evolution among tenrecs and other "insectivore" mammal species.
DOI: 10.6084/m9.figshare.714984.v1
title: An approach to “Filamento®”, an Internet of Things [IOT] framework devoted to link a grid of cultural digital smart-items

description: Filamento® is an original engine, currently under patent procedure on behalf of the inventors of ThePrimate®, devoted to link and reference the places of cultural heritage, through a logic-physical lattice of points traced both in the real world and virtual, self-transmitting position and poly-dimensional open data through the Internet, thus building a “talking-” or “smart-objects" grid.
DOI: 10.6084/m9.figshare.715841.v5
title: "Insectivore" mammal skulls, ventral view

description: Photographs of ventral views of "insectivore" mammal skulls (Afrosoricida, Erinaceomorpha, Soricomorpha and Notoryctemorphia) from the American Museum of Natural History (AMNH) and the Smithsonian Institute (SI). I can provide a list of the species identities corresponding to each specimen ID number. Alternatively, species may be identified by searching the online museum databases for the specimen ID number. I photographed the skulls on a flat plane relative to the camera and the scale bar has 1mm as the smallest demarcation. Images are grey scale TIF files labelled with the museum specimen ID number, the specimen identity (cranial) and view (ventral) along with the date that I took the photograph. Some specimens were photographed three times, re-positioning the skull in between each picture. They are labelled with the same museum specimen number and then _1A, _2A and _3A to indicate that they are replicate pictures of the same skull. These photos form part of my PhD research on morphological convergent evolution among tenrecs and other "insectivore" mammal species.
DOI: 10.6084/m9.figshare.715841.v6
title: "Insectivore" mammal skulls, ventral view

description: Photographs of ventral views of "insectivore" mammal skulls (Afrosoricida, Erinaceomorpha, Soricomorpha and Notoryctemorphia) from the American Museum of Natural History (AMNH) and the Smithsonian Institute (SI). I can provide a list of the species identities corresponding to each specimen ID number. Alternatively, species may be identified by searching the online museum databases for the specimen ID number. I photographed the skulls on a flat plane relative to the camera and the scale bar has 1mm as the smallest demarcation. Images are grey scale TIF files labelled with the museum specimen ID number, the specimen identity (cranial) and view (ventral) along with the date that I took the photograph. Some specimens were photographed three times, re-positioning the skull in between each picture. They are labelled with the same museum specimen number and then _1A, _2A and _3A to indicate that they are replicate pictures of the same skull. These photos form part of my PhD research on morphological convergent evolution among tenrecs and other "insectivore" mammal species.
DOI: 10.6084/m9.figshare.714946.v7
title: A nation's journey to energy efficiency

description: This short video is an effort to showcase in an amusing, understandable way,to a non specialised audience, work related to the Low Carbon Research Institute (LCRI) http://www.lcri.org.uk/ funded project "Cymru H2 Wales" http://www.h2wales.org.uk/. The work, where this video is focused on,is titled "Recovery and clean up of product gas and intermediates" is taking place in Swansea University , Center of Complex Fluids Processing (CCFP) http://complexfluids.swan.ac.uk/home.htm. This video was presented at the Swansea University Festival of Research 2013 http://www.swansea.ac.uk/festival-of-research// The video was made under the great help and support of Prue Thimbleby http://www.prue.thimbleby.net/Site/Welcome.html
DOI: 10.6084/m9.figshare.714946.v8
title: A nation

description: This short video is an effort to showcase in an amusing, understandable way,to a non specialised audience, work related to the Low Carbon Research Institute (LCRI) http://www.lcri.org.uk/ funded project "Cymru H2 Wales" http://www.h2wales.org.uk/. The work, where this video is focused on,is titled "Recovery and clean up of product gas and intermediates" is taking place in Swansea University , Center of Complex Fluids Processing (CCFP) http://complexfluids.swan.ac.uk/home.htm. This video was presented at the Swansea University Festival of Research 2013 http://www.swansea.ac.uk/festival-of-research// The video was made under the great help and support of Prue Thimbleby http://www.prue.thimbleby.net/Site/Welcome.html
DOI: 10.6084/m9.figshare.714930
title: New deleted files

description: Dataset of articles downloaded soon after creation and later deleted; more details in the Readme file in the archive.
DOI: 10.6084/m9.figshare.714930.v1
title: New deleted files

description: Dataset of articles downloaded soon after creation and later deleted; more details in the Readme file in the archive.
DOI: 10.6084/m9.figshare.714149
title: Introducing Blacktie: a simpler way to do RNA-seq using Tophat/Cufflinks/CummeRbund

description: Leveraging multiple fastQ files full of RNA-seq reads into a coherent picture of gene expression and transcript models is a multi-step process. It requires the organization and coordination of many files of different types through many different program calls and output steps. Each step might take hours or days depending on your input data. Then, as you are writing up your work, sometimes weeks/months later, you see that a new version of the programs you use has come out. Do you need to re-run your analysis? What settings DID you use back then? The Tophat/Cufflinks/CummeRbund group of programs (termed the "Tuxedo Protocol") makes quality RNA-seq analysis doable once you understand the process. But what about when it's time for you to leave the lab and you need to "train" someone else to repeat your process? It can be a nightmare. Especially if the trainee is not yet comfortable with the command line. This is why I wrote the Blacktie pipeline software. Its goals are to streamline and simplify the complex task of analyzing full RNA-seq experiments using these programs; to automatically record settings used and program output messages in a way that users can track them to data later; provide a base set of functions and classes that will allow users to create custom pipelines easily by editing a single file (or if they want: writing their own custom scripts).
DOI: 10.6084/m9.figshare.714141
title: JCR Journals, sorted by Impact Factor 2011 with the JCR edition indication

description: <strong>Description of the spreadsheet:</strong> “Journals in JCR sorted by IF’11” lists the journals from Thomson Reuters JCR website; it’s sorted by edition (science and social science) and Impact Factor 2011 descending (but not difunded). Fields: Abbreviated Journal title, ISSN, JCR ed. <strong>Methodology:</strong> 1 We copy and paste from the web pages the list in a unique spreadsheet. 2. We agregate the JCR edition: SCI=1 and SSCI=2. 3. We sort by Edition and Impact Factor and delete this column values.4. We upload the excel file to data banks
DOI: 10.6084/m9.figshare.714149.v2
title: Introducing Blacktie: a simpler way to do RNA-seq using Tophat/Cufflinks/CummeRbund

description: Leveraging multiple fastQ files full of RNA-seq reads into a coherent picture of gene expression and transcript models is a multi-step process. It requires the organization and coordination of many files of different types through many different program calls and output steps. Each step might take hours or days depending on your input data. Then, as you are writing up your work, sometimes weeks/months later, you see that a new version of the programs you use has come out. Do you need to re-run your analysis? What settings DID you use back then? The Tophat/Cufflinks/CummeRbund group of programs (termed the "Tuxedo Protocol") makes quality RNA-seq analysis doable once you understand the process. But what about when it's time for you to leave the lab and you need to "train" someone else to repeat your process? It can be a nightmare. Especially if the trainee is not yet comfortable with the command line. This is why I wrote the Blacktie pipeline software. Its goals are to streamline and simplify the complex task of analyzing full RNA-seq experiments using these programs; to automatically record settings used and program output messages in a way that users can track them to data later; provide a base set of functions and classes that will allow users to create custom pipelines easily by editing a single file (or if they want: writing their own custom scripts).
DOI: 10.6084/m9.figshare.714097
title: Comparison of tumor sizes between standard housed mice and environmentally enriched housed mice

description: Comparison of tumor sizes (mm2) between mice housed in standard and environmentally enriched cages at 13 and 16 days.
DOI: 10.6084/m9.figshare.714149.v1
title: Introducing Blacktie: a simpler way to do RNA-seq using Tophat/Cufflinks/CummeRbund

description: Leveraging multiple fastQ files full of RNA-seq reads into a coherent picture of gene expression and transcript models is a multi-step process. It requires the organization and coordination of many files of different types through many different program calls and output steps. Each step might take hours or days depending on your input data. Then, as you are writing up your work, sometimes weeks/months later, you see that a new version of the programs you use has come out. Do you need to re-run your analysis? What settings DID you use back then? The Tophat/Cufflinks/CummeRbund group of programs (termed the "Tuxedo Protocol") makes quality RNA-seq analysis doable once you understand the process. But what about when it's time for you to leave the lab and you need to "train" someone else to repeat your process? It can be a nightmare. Especially if the trainee is not yet comfortable with the command line. This is why I wrote the Blacktie pipeline software. Its goals are to streamline and simplify the complex task of analyzing full RNA-seq experiments using these programs; to automatically record settings used and program output messages in a way that users can track them to data later; provide a base set of functions and classes that will allow users to create custom pipelines easily by editing a single file (or if they want: writing their own custom scripts).
DOI: 10.6084/m9.figshare.714096
title: Review of bwa mem

description: This fileset contains a written review of v2 of Heng Li's manuscript on bwa mem, as retrieved from arxiv.org. It also includes some basic benchmarking datasets and accuracy evaluation code applied to bwa mem and the LAST aligner (http://last.cbrc.jp).
DOI: 10.6084/m9.figshare.714097.v1
title: Comparison of tumor sizes between standard housed mice and environmentally enriched housed mice

description: Comparison of tumor sizes (mm2) between mice housed in standard and environmentally enriched cages at 13 and 16 days.
DOI: 10.6084/m9.figshare.713940
title: 1654 targets ranked by compounds

description: This is the supplimentary data from the paper below. It can be used to intersect with other target protein lists you care to compare with via standard identifiers (we would be grateful if you cite the results) J Cheminform. 2011 May 13;3(1):14. doi: 10.1186/1758-2946-3-14.<br>Analysis of in vitro bioactivity data extracted from drug discovery literature and patents: Ranking 1654 human protein targets by assayed compounds and molecular scaffolds. Southan C, Boppana K, Jagarlapudi SA, Muresan S. BACKGROUND: Since the classic Hopkins and Groom druggable genome review in 2002, there have been a number of publications updating both the hypothetical and successful human drug target statistics. However, listings of research targets that define the area between these two extremes are sparse because of the challenges of collating published information at the necessary scale. We have addressed this by interrogating databases, populated by expert curation, of bioactivity data extracted from patents and journal papers over the last 30 years. RESULTS: From a subset of just over 27,000 documents we have extracted a set of compound-to-target relationships for biochemical in vitro binding-type assay data for 1,736 human proteins and 1,654 gene identifiers. These are linked to 1,671,951 compound records derived from 823,179 unique chemical structures. The distribution showed a compounds-per-target average of 964 with a maximum of 42,869 (Factor Xa). The list includes non-targets, failed targets and cross-screening targets. The top-278 most actively pursued targets cover 90% of the compounds. We further investigated target ranking by determining the number of molecular frameworks and scaffolds. These were compared to the compound counts as alternative measures of chemical diversity on a per-target basis. CONCLUSIONS: The compounds-per-protein listing generated in this work (provided as a supplementary file) represents the major proportion of the human drug target landscape defined by published data. We supplemented the simple ranking by the number of compounds assayed with additional rankings by molecular topology. These showed significant differences and provide complementary assessments of chemical tractability.