cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.17072762
title: Figure3_Raw CT data

description: <b>Figure 4. mRNA for four of predicted GOI are altered in human sAD2.1 iPSNs compared to control AX0018 iPSNs. a-b. </b>Quantitative immunocytochemistry showing significant increase of pS199/pS202 (AT8) tau in βIII-tubulin (neuronal marker) positive sAD2.1 iPSNs compared to control AX0018 iPSNs. <b>c-d. </b>Western blot and quantification showing significantly increased levels of total, pS199/pS202 (AT8), and pT231 (AT180) positive tau levels in sAD2.1 iPSNs compared to control AX0018 iPSNs. <b>e. </b>Quantitative real-time PCR analysis showing two folds increase in the mRNA levels of RAB40A, SCGB3A1, TMEFF2, and a fold decrease in FRRS1 in sAD2.1 iPSNs compared to AX0018 control iPSNs. Data shown are mean + s.e.m; Two-tailed <i>t </i>tests welch-corrected; *p&lt;0.05; **p&lt;0.01, ***p&lt;0.005, n=3 biological replicates; n=3 technical replicates.
DOI: 10.5281/zenodo.5781643
title: Portugues Twitter Covid-19 - mar/2020 & mar/2021

description: Este é um dataset de tuítes únicos em português relacionados à COVID-19. Os tuítes compartilhados aqui possuem apenas o ID, devido aos termos e condições do Twitter para redistribuir dados do Twitter <strong>APENAS </strong>para propósito de pesquisa. Eles precisam ser hidratados para ser usados. Os conjuntos de dados contém tuítes dos meses de março de 2020 e 2021. Após a hidratação, serão 936.866 tuítes de mar/2020 e 599.638 tuítes de mar/ 2021. Este conjunto é um subproduto do trabalho de Banda <em>et al.</em> (2021). Link: https://zenodo.org/record/4603998#.YbkUIb3MJPa -------------- This is a dataset with portuguese unique tweets related to COVID-19. Tweets shared here only have the ID, due to Twitter's terms and conditions to redistribute Twitter data for research purposes <strong>ONLY</strong>. They need to be hydrated to be used. The datasets contain tweets for the months of March 2020 and 2021. After hydration, there will be 936,866 tweets from Mar/2020 and 599,638 tweets from Mar/2021. This dataset is a by-product of the work by Banda et al. (2021). Link: https://zenodo.org/record/4603998#.YbkUIb3MJPa
description: {"references": ["Banda et al. (2021). https://doi.org/10.3390/epidemiologia2030024"]}
DOI: 10.5281/zenodo.5781642
title: Portugues Twitter Covid-19 - mar/2020 & mar/2021

description: Este é um dataset de tuítes únicos em português relacionados à COVID-19. Os tuítes compartilhados aqui possuem apenas o ID, devido aos termos e condições do Twitter para redistribuir dados do Twitter <strong>APENAS </strong>para propósito de pesquisa. Eles precisam ser hidratados para ser usados. Os conjuntos de dados contém tuítes dos meses de março de 2020 e 2021. Após a hidratação, serão 936.866 tuítes de mar/2020 e 599.638 tuítes de mar/ 2021. Este conjunto é um subproduto do trabalho de Banda <em>et al.</em> (2021). Link: https://zenodo.org/record/4603998#.YbkUIb3MJPa -------------- This is a dataset with portuguese unique tweets related to COVID-19. Tweets shared here only have the ID, due to Twitter's terms and conditions to redistribute Twitter data for research purposes <strong>ONLY</strong>. They need to be hydrated to be used. The datasets contain tweets for the months of March 2020 and 2021. After hydration, there will be 936,866 tweets from Mar/2020 and 599,638 tweets from Mar/2021. This dataset is a by-product of the work by Banda et al. (2021). Link: https://zenodo.org/record/4603998#.YbkUIb3MJPa
description: {"references": ["Banda et al. (2021). https://doi.org/10.3390/epidemiologia2030024"]}
DOI: 10.6084/m9.figshare.17197757
title: Radial and Non-Radial Solar wind velocities for C/2011 L4 (PANSTARRS)

description: This dataset was analysed and presented in the <b>‘Solar Wind Velocities at Comets C/2011 L4 Pan-STARRS and C/2013 R1 Lovejoy derived using a New Image Analysis Technique’ paper. Submitted to JGR - Space Physics.</b><br><br>Please contact the author at yudish@hawaii.edu for info on the software. Only STEREO B data was successfully analysed for comet C/2011 L4 (PANSTARRS). STEREO A and Earth-based images are available but are not usable with this technique due to the low orbit plane angle. The difference images used in this study were made available for analysis by K. Battams (NRL).<br><br>Each difference image was processed through IDL using the main technique described in the paper to produce radial solar wind velocity estimates from the cometary ion tail of comet C/2011 L4 (PANSTARRS). The processed variables, including the final solar wind velocity results are stored as individual .sav files for each image.<br><br>To produce a plot, the solar wind velocities must be obtained from each image OR use the concatenated solar wind velocities saved as c2011l4_SWspeed_20140619.sav or the c2011l4_bundlepos_20140626.sav, which was created from a selection of images described in the paper to produce non-radial solar wind velocities for the Flow Vector Maps section described in the paper.
DOI: 10.6084/m9.figshare.17197757.v1
title: Radial and Non-Radial Solar wind velocities for C/2011 L4 (PANSTARRS)

description: This dataset was analysed and presented in the <b>‘Solar Wind Velocities at Comets C/2011 L4 Pan-STARRS and C/2013 R1 Lovejoy derived using a New Image Analysis Technique’ paper. Submitted to JGR - Space Physics.</b><br><br>Please contact the author at yudish@hawaii.edu for info on the software. Only STEREO B data was successfully analysed for comet C/2011 L4 (PANSTARRS). STEREO A and Earth-based images are available but are not usable with this technique due to the low orbit plane angle. The difference images used in this study were made available for analysis by K. Battams (NRL).<br><br>Each difference image was processed through IDL using the main technique described in the paper to produce radial solar wind velocity estimates from the cometary ion tail of comet C/2011 L4 (PANSTARRS). The processed variables, including the final solar wind velocity results are stored as individual .sav files for each image.<br><br>To produce a plot, the solar wind velocities must be obtained from each image OR use the concatenated solar wind velocities saved as c2011l4_SWspeed_20140619.sav or the c2011l4_bundlepos_20140626.sav, which was created from a selection of images described in the paper to produce non-radial solar wind velocities for the Flow Vector Maps section described in the paper.
DOI: 10.6084/m9.figshare.17197595
title: Solar wind velocities for C/2013 R1 (Lovejoy)

description: This dataset was analysed and presented in the <b>‘Solar Wind Velocities at Comets C/2011 L4 Pan-STARRS and C/2013 R1 Lovejoy derived using a New Image Analysis Technique’ paper. Submitted to JGR - Space Physics</b>.<br><br>Please contact the author at yudish@hawaii.edu for info on the software. This dataset was collected from amateur astrophotographers from around the world and observations from the Isaac Newton Telescope were undertaken by Y. Ramanjooloo and K. Birkett. The data spanned two weeks on either side of the comet’s perihelion and covers part of Carrington Rotation 2144 and 2145.<br><br>Each image was processed through IDL using the main technique described in the paper to produce radial solar wind velocity estimates from the cometary ion tail of comet C/2013 R1 (Lovejoy).<br><br>The processed variables, including the final solar wind velocity results are stored as individual .sav files for each image. IDL is required to open and analyse these .sav files. the python package readsav is also available - see links below.<br><br><br>In repository:<br><br>1. Image of comet C/2013 R1 (Lovejoy) acquired by G. Rhemann on 13 December 2013 at 03:41 UT<br>[https://figshare.com/ndownloader/files/31785983/preview/31785983/preview.jpg]<br><br>2. Data coverage of C/2013 R1 (Lovejoy) as observed from Earth and mapped onto the comet’s orbital plane. The Sun is at (0,0) and the perihelion defines the y-axis. <br>[https://figshare.com/ndownloader/files/31785986/preview/31785986/preview.jpg]<br>3. Processed images from amateur astronomers as .sav files. To produce a plot of the solar wind velocities, the user will need to access these results from each .sav file and concatenate them.<br>File naming convention is comet denomination + datetime_UTC + observer + .fits<br><br>4. Processed INT images as .fits files. The raw data was processed through THELI for CCD distortion correction and solved through Astrometry.net. Each INT Wide-Field Camera image contains 4 CCDs (labeled 10,20,30, 40) [https://www.ing.iac.es/astronomy/instruments/wfc/]<br><br>File naming convention for INT images is comet denomination + datetime_UTC + image number + CCD + filter + exptime + .fits<br><br>Images used for the non-radial velocity vector flowmaps are labeled with '_flowmap'. The raw data (also through the Isaac Newton Group of Telescopes), coadded and difference images are available upon request.<br> <b>***Note:***</b><br><br>.sav files are saved variables processed via IDL. More info can be found here:<br><br>.sav: https://www.l3harrisgeospatial.com/docs/save.html<br><br>IDL : https://www.l3harrisgeospatial.com/<br><br>The following python package is available to process .sav files though the authors have no experience with this package.<br><br>https://docs.scipy.org/doc/scipy/reference/generated/scipy.io.readsav.html<br>
DOI: 10.6084/m9.figshare.17197595.v4
title: Solar wind velocities for C/2013 R1 (Lovejoy)

description: This dataset was analysed and presented in the <b>‘Solar Wind Velocities at Comets C/2011 L4 Pan-STARRS and C/2013 R1 Lovejoy derived using a New Image Analysis Technique’ paper. Submitted to JGR - Space Physics</b>.<br><br>Please contact the author at yudish@hawaii.edu for info on the software. This dataset was collected from amateur astrophotographers from around the world and observations from the Isaac Newton Telescope were undertaken by Y. Ramanjooloo and K. Birkett. The data spanned two weeks on either side of the comet’s perihelion and covers part of Carrington Rotation 2144 and 2145.<br><br>Each image was processed through IDL using the main technique described in the paper to produce radial solar wind velocity estimates from the cometary ion tail of comet C/2013 R1 (Lovejoy).<br><br>The processed variables, including the final solar wind velocity results are stored as individual .sav files for each image. IDL is required to open and analyse these .sav files. the python package readsav is also available - see links below.<br><br><br>In repository:<br><br>1. Image of comet C/2013 R1 (Lovejoy) acquired by G. Rhemann on 13 December 2013 at 03:41 UT<br>[https://figshare.com/ndownloader/files/31785983/preview/31785983/preview.jpg]<br><br>2. Data coverage of C/2013 R1 (Lovejoy) as observed from Earth and mapped onto the comet’s orbital plane. The Sun is at (0,0) and the perihelion defines the y-axis. <br>[https://figshare.com/ndownloader/files/31785986/preview/31785986/preview.jpg]<br>3. Processed images from amateur astronomers as .sav files. To produce a plot of the solar wind velocities, the user will need to access these results from each .sav file and concatenate them.<br>File naming convention is comet denomination + datetime_UTC + observer + .fits<br><br>4. Processed INT images as .fits files. The raw data was processed through THELI for CCD distortion correction and solved through Astrometry.net. Each INT Wide-Field Camera image contains 4 CCDs (labeled 10,20,30, 40) [https://www.ing.iac.es/astronomy/instruments/wfc/]<br><br>File naming convention for INT images is comet denomination + datetime_UTC + image number + CCD + filter + exptime + .fits<br><br>Images used for the non-radial velocity vector flowmaps are labeled with '_flowmap'. The raw data (also through the Isaac Newton Group of Telescopes), coadded and difference images are available upon request.<br> <b>***Note:***</b><br><br>.sav files are saved variables processed via IDL. More info can be found here:<br><br>.sav: https://www.l3harrisgeospatial.com/docs/save.html<br><br>IDL : https://www.l3harrisgeospatial.com/<br><br>The following python package is available to process .sav files though the authors have no experience with this package.<br><br>https://docs.scipy.org/doc/scipy/reference/generated/scipy.io.readsav.html<br>
DOI: 10.6084/m9.figshare.17197595.v3
title: Solar wind velocities for C/2013 R1 (Lovejoy)

description: This dataset was analysed and presented in the <b>‘Solar Wind Velocities at Comets C/2011 L4 Pan-STARRS and C/2013 R1 Lovejoy derived using a New Image Analysis Technique’ paper. Submitted to JGR - Space Physics</b>.<br><br>The software can be made available upon request. Please contact the author at yudish@hawaii.edu. This dataset was collected from amateur astrophotographers from around the world and observations from the Isaac Newton Telescope were undertaken by Y. Ramanjooloo and K. Birkett. The data spanned two weeks on either side of the comet’s perihelion and covers part of Carrington Rotation 2144 and 2145. <br><br>Each image was processed through IDL using the main technique described in the paper to produce radial solar wind velocity estimates from the cometary ion tail of comet C/2013 R1 (Lovejoy).<br>The processed variables, including the final solar wind velocity results are stored as individual .sav files for each image. IDL is required to open and analyse these .sav files. the python package readsav is also available - see links below.<br><br><br>In repository:<br><br>1. Image of comet C/2013 R1 (Lovejoy) acquired by G. Rhemann on 13 December 2013 at 03:41 UT<br>[https://figshare.com/ndownloader/files/31785983/preview/31785983/preview.jpg]<br><br>2. Data coverage of C/2013 R1 (Lovejoy) as observed from Earth and mapped onto the comet’s orbital plane. The Sun is at (0,0) and the perihelion defines the y-axis. <br>[https://figshare.com/ndownloader/files/31785986/preview/31785986/preview.jpg]<br>To produce a plot, the solar wind velocities must be obtained from each image.<br><br>***Note:***<br><br>.sav files are saved variables processed via IDL. More info can be found here:<br><br>.sav: https://www.l3harrisgeospatial.com/docs/save.html<br><br>IDL : https://www.l3harrisgeospatial.com/<br><br>The following python package is available to process .sav files though the authors have no experience with this package.<br><br>https://docs.scipy.org/doc/scipy/reference/generated/scipy.io.readsav.html<br>
DOI: 10.24431/rw1k5bb
title: 1614 Iñupiaq Knowledge of Nanuq in the Southern Beaufort Sea

description: This data represents the words of local experts from Wainwright, Utqiaġvik, Nuiqsut, and Kaktovik. Indigenous knowledge provides insights on the responses of polar bears to sea ice loss. However, Traditional Ecological Knowledge (TEK) for the southern Beaufort Sea subpopulation has not been documented systematically since the 1990s. TEK is a dynamic body of knowledge that quickly responds to new conditions presented by climate change. Gaps in documentation have prevented TEK from entering fully into scientific research shaping management policies. This data closes this gap, providing an updated account of Iñupiaq knowledge about polar bears on the North Slope of Alaska. Local and traditional knowledge of polar bears was documented through semi-structured interviews in the communities of Wainwright (n =10), Utqiaġvik (n =13), Nuiqsut (n =12), and Kaktovik (n = 12) in 2017 and 2018. Interviews centered on maps of each community’s region and on individual life histories of observing bears while hunting on the land and ice. Participants included both experienced Elders and active subsistence hunters. Follow-up visits were conducted with participants in 2019 to verify initial findings. Themes covered in data include: changes in sea ice, wind, and weather; the impact of these changes on polar bears; polar bear body condition; local abundance; behavior; feeding; seasonal movement; habitat use; dens; cubs; and ice seals. Additional themes included aspects of human-polar bear relationships such as subsistence traditions and interactions between people and bears during whaling. Data focuses on knowledge of polar bears within the last fifteen years, seeking current observations as well as comparative assessments of change over time. Manifest of Media Products: Kaktovik_Fall_Winter.pdf Kaktovik_Fall_Winter.png Kaktovik_Spring_Summer.png Nuiqsut_Fall_Winter.pdf Nuiqsut_Fall_Winter.png Nuiqsuit_Spring_Summer.pdf Nuiqsut_Spring_Summer.png Overview_BeaufortSubPops_c.pdf Overview_BeaufortSubPops_c.png Utqiagvik_Fall_Winter.pdf Utqiagvik_Fall_Winter.png Utqiagvik_Spring_Summer.pdf Utqiagvik_Spring_Summer.png Voorhees 2019 TEK Report PRINT Wainwright_Fall_Winter.pdf Wainwright_Fall_Winter.png Wainwright_Spring_Summer.pdf Wainwright_Spring_Summer.png For each community, there are four maps of polar bear habitat use and denning areas. This includes one set of maps (in .pdf and .png) for Fall-Winter, and one set of maps (in .pdf and .png) for Spring-Summer. Fall- Winter is defined as September-February, Spring-Summer is defined as March-August. The Overview_BeaufortSubPops_c map depicts the range of the Southern Beaufort Sea polar bear subpopulation and the communities of the study.
DOI: 10.25416/ntr.17198195
title: SocMedHE: More than a conference

description: Using social network analysis tools and Twitter data collected over a few months, we will look at some evidence from the hashtag #socmedhe and related hashtags to show that there is more than a conference happening. The presentation consists of three parts. A short explanation of some of the tools used, followed by an explanation of some of the measures used and then graphically seeing the groupings.
DOI: 10.25416/ntr.17198195.v1
title: SocMedHE: More than a conference

description: Using social network analysis tools and Twitter data collected over a few months, we will look at some evidence from the hashtag #socmedhe and related hashtags to show that there is more than a conference happening. The presentation consists of three parts. A short explanation of some of the tools used, followed by an explanation of some of the measures used and then graphically seeing the groupings.
DOI: 10.5517/ccdc.csd.cc2886xp
title: CCDC 2093272: Experimental Crystal Structure Determination

description: Related Article: Hitoshi Kamauchi, Mitsuaki Suzuki, Koichi Takao, Yoshiaki Sugita|2021|J.Antibiot.|75|1|doi:10.1038/s41429-021-00483-6
DOI: 10.6084/m9.figshare.17087654
title: Supplementary Figure 3 raw data

description: <b>Supplementary Figure 3. Violin plots showing mRNA level of AKNA, FRRS1, NDRG2, FAM92B, and SLC44A2 are significantly altered in the post-mortem autopsy brains with Alzheimer’s disease (AD). </b>qRT-PCR analysis showing mRNA levels of AKNA, NDRG2, FAM92B, and SLC44A2 significantly down-regulated, but FRRS1 is significantly up-regulated in post-mortem temporal cortices of AD compared to age matched controls (Ctrl). Data are expressed as mean + SEM; n=10 healthy controls and n=8 sporadic AD; n=3 technical replicates; *p&lt;0.05; two-tailed <i>t </i>test, welch-corrected, and Tukey’s for outlier removal.
DOI: 10.6084/m9.figshare.17087654.v1
title: Supplementary Figure 3 raw data

description: <b>Supplementary Figure 3. Violin plots showing mRNA level of AKNA, FRRS1, NDRG2, FAM92B, and SLC44A2 are significantly altered in the post-mortem autopsy brains with Alzheimer’s disease (AD). </b>qRT-PCR analysis showing mRNA levels of AKNA, NDRG2, FAM92B, and SLC44A2 significantly down-regulated, but FRRS1 is significantly up-regulated in post-mortem temporal cortices of AD compared to age matched controls (Ctrl). Data are expressed as mean + SEM; n=10 healthy controls and n=8 sporadic AD; n=3 technical replicates; *p&lt;0.05; two-tailed <i>t </i>test, welch-corrected, and Tukey’s for outlier removal.
DOI: 10.17909/gjbj-r870
title: Secondary eclipses of WASP-77Ab

description: Data set used in Mansfield et al. (submitted), entitled "Confirmation of Water Absorption in the Thermal Emission Spectrum of the Hot Jupiter WASP-77Ab with HST/WFC3"
DOI: 10.15468/qub33v
title: Leplat, J., François, A. & Bousta, F. (2021) Simplicillium pech-merlensis, a new fungal species isolated of the Pech-Merle show cave. Phytotaxa 521 (2): 80 - 94.

description: This dataset contains the digitized treatments in Plazi based on the original journal article Leplat, J., François, A., Bousta, F. (2021): Leplat, J., François, A. & Bousta, F. (2021) Simplicillium pech-merlensis, a new fungal species isolated of the Pech-Merle show cave. Phytotaxa 521 (2): 80 - 94. Phytotaxa 522 (2): 164, DOI: https://doi.org/10.11646/phytotaxa.522.2.10
DOI: 10.6084/m9.figshare.17072813
title: Supplement Figure 6 raw data

description: <b>Supplementary Figure 6. mRNA levels of the least ten predicted GOI are not altered in human sAD2.1 iPSNs compared to control AX0018 iPSNs. </b>qRT-PCR analysis showing no significant differences of mRNA levels in the least ten, in sAD2.1 iPSNs compared to AX0018 control iPSNs. Data shown are mean + s.e.m; Two-tailed <i>t </i>tests welch-corrected; n=3 biological replicates; n=3 technical replicates
DOI: 10.6084/m9.figshare.17072813.v1
title: Supplement Figure 6 raw data

description: <b>Supplementary Figure 6. mRNA levels of the least ten predicted GOI are not altered in human sAD2.1 iPSNs compared to control AX0018 iPSNs. </b>qRT-PCR analysis showing no significant differences of mRNA levels in the least ten, in sAD2.1 iPSNs compared to AX0018 control iPSNs. Data shown are mean + s.e.m; Two-tailed <i>t </i>tests welch-corrected; n=3 biological replicates; n=3 technical replicates
DOI: 10.15468/h5g2jd
title: Description of a new species of Nannopus Brady, 1880 (Copepoda: Harpacticoida Nannopodidae) from Argentinean waters, including an updated key to species

description: This dataset contains the digitized treatments in Plazi based on the original journal article Sciberras, Michel, Cazzaniga, Néstor J., Huys, Rony (2021): Description of a new species of Nannopus Brady, 1880 (Copepoda: Harpacticoida Nannopodidae) from Argentinean waters, including an updated key to species. Zootaxa 5051 (1): 506-528, DOI: https://doi.org/10.11646/zootaxa.5051.1.20
DOI: 10.6084/m9.figshare.17072810.v1
title: Supplementary Figure 8 raw data

description: <b>Supplementary Figure 8. Two proteins are significantly increased in post-mortem autopsy brains of human sporadic Alzheimer’s disease. a-b.</b> Western blot and quantifications showing significantly elevated levels of (STK32B and PFKFB2) in post-mortem temporal cortical samples of sporadic AD compared to age-matched healthy controls (HC). Data shown are mean + s.e.m; two-tailed <i>t </i>tests Welch-corrected; *p&lt;0.05; **p&lt;0.01, n=10 healthy controls and n=8 sporadic AD).
DOI: 10.6084/m9.figshare.17072810
title: Supplementary Figure 8 raw data

description: <b>Supplementary Figure 8. Two proteins are significantly increased in post-mortem autopsy brains of human sporadic Alzheimer’s disease. a-b.</b> Western blot and quantifications showing significantly elevated levels of (STK32B and PFKFB2) in post-mortem temporal cortical samples of sporadic AD compared to age-matched healthy controls (HC). Data shown are mean + s.e.m; two-tailed <i>t </i>tests Welch-corrected; *p&lt;0.05; **p&lt;0.01, n=10 healthy controls and n=8 sporadic AD).