cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4353853
title: Amyloid burden quantification depends on PET and MR image processing methodology

description: The enclosed datasets refer to the work developed at the University Medical Center Groningen and consist of the minimally required PET image data to replicate the results of the study entitled "Amyloid burden quantification depends on PET and MR image processing methodology" which abstract can be found below: Quantification of amyloid load with positron emission tomography can be useful to assess Alzheimer’s Disease <em>in-vivo. </em>However, quantification can be affected by the image processing methodology applied. This study’s goal was to address how amyloid quantification is influenced by different semi-automatic image processing pipelines. Images were analysed in their <em>Native Space </em>and <em>Standard Space</em>; non-rigid spatial transformation methods based on maximum a posteriori approaches and tissue probability maps (TPM) for regularisation were explored. Furthermore, grey matter tissue segmentations were defined before and after spatial normalisation, and also using a population-based template. Five quantification metrics were analysed: two intensity-based, two volumetric-based, and one multi-parametric feature. Intensity-related metrics were not meaningfully affected by spatial normalisation and did not significantly depend on the grey matter segmentation method, with an impact similar to that expected from test-retest studies (≤10%). Yet, volumetric and multi-parametric features were sensitive to the image processing methodology, with an overall variability up to 45%. Therefore, the analysis should be carried out in <em>Native Space</em> avoiding non-rigid spatial transformations. For analyses in <em>Standard Space</em>, spatial normalisation regularised by TPM is preferred. Volumetric-based measurements should be done in <em>Native Space,</em> while intensity-based metrics are more robust against differences in image processing pipelines.
DOI: 10.21258/1647551
title: Inventario forestale nazionale svizzero - Tabella n. 897654
DOI: 10.5281/zenodo.4353852
title: Amyloid burden quantification depends on PET and MR image processing methodology

description: The enclosed datasets refer to the work developed at the University Medical Center Groningen and consist of the minimally required PET image data to replicate the results of the study entitled "Amyloid burden quantification depends on PET and MR image processing methodology" which abstract can be found below: Quantification of amyloid load with positron emission tomography can be useful to assess Alzheimer’s Disease <em>in-vivo. </em>However, quantification can be affected by the image processing methodology applied. This study’s goal was to address how amyloid quantification is influenced by different semi-automatic image processing pipelines. Images were analysed in their <em>Native Space </em>and <em>Standard Space</em>; non-rigid spatial transformation methods based on maximum a posteriori approaches and tissue probability maps (TPM) for regularisation were explored. Furthermore, grey matter tissue segmentations were defined before and after spatial normalisation, and also using a population-based template. Five quantification metrics were analysed: two intensity-based, two volumetric-based, and one multi-parametric feature. Intensity-related metrics were not meaningfully affected by spatial normalisation and did not significantly depend on the grey matter segmentation method, with an impact similar to that expected from test-retest studies (≤10%). Yet, volumetric and multi-parametric features were sensitive to the image processing methodology, with an overall variability up to 45%. Therefore, the analysis should be carried out in <em>Native Space</em> avoiding non-rigid spatial transformations. For analyses in <em>Standard Space</em>, spatial normalisation regularised by TPM is preferred. Volumetric-based measurements should be done in <em>Native Space,</em> while intensity-based metrics are more robust against differences in image processing pipelines.
DOI: 10.6084/m9.figshare.13416359.v1
title: Creative subtitling bibliography

description: This bibliography is an output of the project <i>Putting the 'Pop' into J-pop: Using creative subtitles to promote Japanese music globally</i>, and aims to serve as a support for creative subtitling researchers and/or practitioners. It will be updated on at least an annual basis.<br>
DOI: 10.21258/1650063
title: Inventario forestale nazionale svizzero - Tabella n. 898471
DOI: 10.6084/m9.figshare.13416464
title: Data_Rui_PhD_Thesis_NTHU_Chapter_1

description: This is used for Rui Han's PhD thesis in NTHU, 2020.<br>
DOI: 10.6084/m9.figshare.13416464.v1
title: Data_Rui_PhD_Thesis_NTHU_Chapter_1

description: This is used for Rui Han's PhD thesis in NTHU, 2020.<br>
DOI: 10.21258/1646340
title: Inventario forestale nazionale svizzero - Tabella n. 897507
DOI: 10.6084/m9.figshare.13416473.v1
title: Data_Rui_PhD_Thesis_NTHU_Chapter_2

description: This is used for Rui Han's PhD thesis in NTHU, 2020.
DOI: 10.6084/m9.figshare.13416473
title: Data_Rui_PhD_Thesis_NTHU_Chapter_2

description: This is used for Rui Han's PhD thesis in NTHU, 2020.
DOI: 10.21258/1656198
title: Inventario forestale nazionale svizzero - Tabella n. 897659
DOI: 10.21258/1671223
title: Inventario forestale nazionale svizzero - Tabella n. 893421
DOI: 10.21258/1628752
title: Inventario forestale nazionale svizzero - Tabella n. 899631
DOI: 10.5284/1083508
title: Rear of 1 Padwell Road, Southampton. Archaeological Watching Brief (SOU1712)

description: Goodwill Homes Ltd obtained planning permission to construct a 2-storey detached 3-bed house with accommodation in the roof space, associated parking and cycle refuse storage, at the rear of 1 Padwell Road, Southampton. The property had been The Avenue public house until recently. The pub, in the north part of the property was constructed in the late 19th century as part of the development of the Inner Avenue area on the grounds of Bevois Mount. Prehistoric, Roman, Saxon and medieval evidence has been found in the vicinity, including Saxon pottery on a nearby site at 14-16 Mordaunt Road. The Archaeology Unit of Southampton City Council carried out the watching brief between 18/04/2016 to the 20/04/2016. Prior to calling in the archaeologist the developer had excavated the footprint of the proposed building to a depth of 600mm removing the topsoil and the weathered brickearth subsoil which could have included archaeological artifacts and features. Natural gravel was observed some 1.1m below the surface. Above was natural brickearth some 400-500mm thick. Six features were dated to the early modern period: a circular soakaway, a large rectangular pit, part of the foundation of one of the outbuildings shown on the 1870 map, and three small pits. A soakaway, a post-hole, and the topsoil were dated to the modern period.
DOI: 10.21258/1672961
title: Inventario forestale nazionale svizzero - Tabella n. 898178
DOI: 10.21258/1646723
title: Inventario forestale nazionale svizzero - Tabella n. 891766
DOI: 10.21258/1655286
title: Inventario forestale nazionale svizzero - Tabella n. 891995
DOI: 10.21258/1630019
title: Inventario forestale nazionale svizzero - Tabella n. 898351
DOI: 10.6084/m9.figshare.13372958
title: 59k HCP subject entry for pycortex database

description: This is a PyCortex subject entry for the surfaces of the 59k Human Connectome Project anatomy. <br>The pial, fiducial, smoothwm, and inflated surfaces have all been taken from HCP subject 100610; the flattened representation is the "standard" Colin surface. The first areas of the visual, auditory, and somatosensory streams have been delineated in the overlays.svg file, and the major sulci have been delineated.<br>One should be able to use this by copying it to the PyCortex subject database.
DOI: 10.5517/ccdc.csd.cc21h1p9
title: CCDC 1891300: Experimental Crystal Structure Determination

description: Related Article: Palani Manikandan, Jayachandran Karunakaran, Elumalai Varathan, Georg Schreckenbach, Arasambattu K Mohanakrishnan|2020|Chem.Commun.|56|15317|doi:10.1039/D0CC05842D
DOI: 10.5517/ccdc.csd.cc21hrfr
title: CCDC 1891974: Experimental Crystal Structure Determination

description: Related Article: Palani Manikandan, Jayachandran Karunakaran, Elumalai Varathan, Georg Schreckenbach, Arasambattu K Mohanakrishnan|2020|Chem.Commun.|56|15317|doi:10.1039/D0CC05842D
DOI: 10.21258/1666118
title: Inventario forestale nazionale svizzero - Tabella n. 899275
DOI: 10.5517/ccdc.csd.cc21tw1t
title: CCDC 1901696: Experimental Crystal Structure Determination

description: Related Article: S.D. Fazylov, О.А. Nurkenov, Т.М. Seilkhanov, G.Zh. Karipova, K. Van Hecke, Ye.M. Suleimen, A.M. Gazaliyev|2019|Bull. Karaganda univ. Chemi.ser.|95|37|doi:10.31489/2019Ch3/37-44
DOI: 10.21258/1651696
title: Inventario forestale nazionale svizzero - Tabella n. 902105
DOI: 10.21258/1635821
title: Inventario forestale nazionale svizzero - Tabella n. 897034
DOI: 10.5517/ccdc.csd.cc23szmj
title: CCDC 1960428: Experimental Crystal Structure Determination

description: Related Article: Palani Manikandan, Jayachandran Karunakaran, Elumalai Varathan, Georg Schreckenbach, Arasambattu K Mohanakrishnan|2020|Chem.Commun.|56|15317|doi:10.1039/D0CC05842D
DOI: 10.5517/ccdc.csd.cc24rsg5
title: CCDC 1989067: Experimental Crystal Structure Determination

description: Related Article: Ning-Ning Ji, Zhi-Qiang Shi, Xiao-Xin Xie, Gang Li|2020|CrystEngComm|22|8161|doi:10.1039/D0CE01578D
DOI: 10.5517/ccdc.csd.cc254ttz
title: CCDC 2000641: Experimental Crystal Structure Determination

description: Related Article: Carolina S. Marques, Hugo Cruz, Simon E. Lawrence, Sandra Gago, João P. Prates Ramalho, Jorge Morgado, Luís C. Branco, Anthony J. Burke|2020|Chem.Commun.|56|14893|doi:10.1039/D0CC04629A
DOI: 10.5517/ccdc.csd.cc25574r
title: CCDC 2001023: Experimental Crystal Structure Determination

description: Related Article: Thomas Delouche, Antoine Vacher, Thierry Roisnel, Marie Cordier, Jean-Frederic Audibert, Boris Le Guennic, Fabien Miomandre, Denis Jacquemin, Muriel Hissler, Pierre-Antoine Bouit|2020|Mat.Advs.|1|3369|doi:10.1039/D0MA00711K
DOI: 10.5517/ccdc.csd.cc25576t
title: CCDC 2001025: Experimental Crystal Structure Determination

description: Related Article: Thomas Delouche, Antoine Vacher, Thierry Roisnel, Marie Cordier, Jean-Frederic Audibert, Boris Le Guennic, Fabien Miomandre, Denis Jacquemin, Muriel Hissler, Pierre-Antoine Bouit|2020|Mat.Advs.|1|3369|doi:10.1039/D0MA00711K
DOI: 10.5517/ccdc.csd.cc25lth3
title: CCDC 2014085: Experimental Crystal Structure Determination

description: Related Article: Jiajun Feng, Tiantong He, Yuxing Xie, Yang Yu, Jonathan B. Baell, Fei Huang|2020|Org.Biomol.Chem.|18|9483|doi:10.1039/D0OB01958E
DOI: 10.21258/1668861
title: Inventario forestale nazionale svizzero - Tabella n. 899630
DOI: 10.5517/ccdc.csd.cc25vvrn
title: CCDC 2021812: Experimental Crystal Structure Determination

description: Related Article: Daniel Mulryan, Andrew J. P. White, Mark R. Crimmin|2020|Org.Lett.|22|9351|doi:10.1021/acs.orglett.0c03593
DOI: 10.5517/ccdc.csd.cc25vvsp
title: CCDC 2021813: Experimental Crystal Structure Determination

description: Related Article: Daniel Mulryan, Andrew J. P. White, Mark R. Crimmin|2020|Org.Lett.|22|9351|doi:10.1021/acs.orglett.0c03593
DOI: 10.21258/1670787
title: Inventario forestale nazionale svizzero - Tabella n. 902288
DOI: 10.5517/ccdc.csd.cc24vgj0
title: CCDC 1991642: Experimental Crystal Structure Determination

description: Related Article: Kei Kitamura, Ryoji Kudo, Haruki Sugiyama, Hidehiro Uekusa, Toshiyuki Hamura|2020|Chem.Commun.|56|14988|doi:10.1039/D0CC06620F
DOI: 10.5517/ccdc.csd.cc26cd44
title: CCDC 2036735: Experimental Crystal Structure Determination

description: Related Article: Jun-Chao Sun, Xiao-Hui Wang, Cong-Bin Ji, Yi-Yuan Peng, Xing-Ping Zeng|2020|J.Org.Chem.|85|14963|doi:10.1021/acs.joc.0c01782
DOI: 10.5517/ccdc.csd.cc26cd88
title: CCDC 2036739: Experimental Crystal Structure Determination

description: Related Article: Jun-Chao Sun, Xiao-Hui Wang, Cong-Bin Ji, Yi-Yuan Peng, Xing-Ping Zeng|2020|J.Org.Chem.|85|14963|doi:10.1021/acs.joc.0c01782
DOI: 10.5517/ccdc.csd.cc26m5z0
title: CCDC 2044232: Experimental Crystal Structure Determination

description: Related Article: I. Angel Nieto, S. Bernès, A. Pérez-Benítez|2020|Acta Crystallogr.,Sect.E:Cryst.Commun.|76|1846|doi:10.1107/S2056989020015108
DOI: 10.5517/ccdc.csd.cc26mdkt
title: CCDC 2044436: Experimental Crystal Structure Determination

description: Related Article: A.W. Temesgen, M.D. Luong, H.H. Truong, V.T. Nguyen, T.T.A. Dang, T.A. Le, A.G. Tskhovrebov, V.N. Khrustalev|2020|Acta Crystallogr.,Sect.E:Cryst.Commun.|76|1851|doi:10.1107/S2056989020015194
DOI: 10.5517/ccdc.csd.cc26mh1d
title: CCDC 2044513: Experimental Crystal Structure Determination

description: Related Article: C. Harish Chinthal, C.N. Kavitha, H.S. Yathirajan, S. Foro, C. Glidewell|2020|IUCrData|5|x201523|doi:10.1107/S2414314620015230
DOI: 10.25345/c56f7h
title: MassIVE MSV000086615 - S.pyogenes M1 proteome mapping
title: S.pyogenes proteome mapping using 7 enzymes: trypsin, aspN, argC, lysC, gluC, elastase, chymotrypsin.
DOI: 10.21258/1672613
title: Inventario forestale nazionale svizzero - Tabella n. 893052
DOI: 10.5281/zenodo.4339120
title: Water availability and temperature scenarios for water-dependent power plants in the Danube river basin and the Iberian Peninsula

description: The dataset is composed by 12 files reporting the water availability and temperature scenarios for 167 water-dependent power plants in the Danube river basin and the Iberian Peninsula. The dataset is split into multiple files by region (Danube river basin (Danube) or Iberian Peninsula (IP)), variable (discharge or river temperature) and scenario (baseline, RCP26 or RCP85) considered. The title of each file is composed by the variable reported (discharge or river temperature) and the scenario considered (baseline: 1951-2004, RCP26: 2006-2100, RCP85: 2006-2100). The first row is used to report the fields considered: the first three columns report the day, the month and the year. The remaining columns report the name of the power plant considered in each region (57 for the Daube river basin and 110 for the Iberian Peninsula). In each row day, month, year and streamflow or river temperature values are reported for every water-dependent power plant examined in the study. Temperature is reported as daily average temperature in degrees Celsius (°C) while water availability is reported as daily average streamflow in cubic meters per second (m^3/s). For a description on how these files were obtained, please refer to https://doi.org/10.2777/135510.
description: This dataset was produced in the context of the project "US-EU integrated power and water systems modelling" funded by the European Commission Directorate General for Research and Innovation, Directorate G. - Energy, Unit G3 - Renewable Energy Sources, PP-06161-2017.
DOI: 10.5281/zenodo.4339119
title: Water availability and temperature scenarios for water-dependent power plants in the Danube river basin and the Iberian Peninsula

description: The dataset is composed by 12 files reporting the water availability and temperature scenarios for 167 water-dependent power plants in the Danube river basin and the Iberian Peninsula. The dataset is split into multiple files by region (Danube river basin (Danube) or Iberian Peninsula (IP)), variable (discharge or river temperature) and scenario (baseline, RCP26 or RCP85) considered. The title of each file is composed by the variable reported (discharge or river temperature) and the scenario considered (baseline: 1951-2004, RCP26: 2006-2100, RCP85: 2006-2100). The first row is used to report the fields considered: the first three columns report the day, the month and the year. The remaining columns report the name of the power plant considered in each region (57 for the Daube river basin and 110 for the Iberian Peninsula). In each row day, month, year and streamflow or river temperature values are reported for every water-dependent power plant examined in the study. Temperature is reported as daily average temperature in degrees Celsius (°C) while water availability is reported as daily average streamflow in cubic meters per second (m^3/s). For a description on how these files were obtained, please refer to https://doi.org/10.2777/135510.
description: This dataset was produced in the context of the project "US-EU integrated power and water systems modelling" funded by the European Commission Directorate General for Research and Innovation, Directorate G. - Energy, Unit G3 - Renewable Energy Sources, PP-06161-2017.
DOI: 10.21258/1650070
title: Inventario forestale nazionale svizzero - Tabella n. 899069
DOI: 10.5284/1083511
title: Block A, County Hall, Taunton, Somerset. Historic Building Record (OASIS ID: bristolb1-398681)

description: Between 2018 and 2020 Bristol & Bath Heritage Consultancy undertook a Level 3 Historic Building Record of Block A, County Hall, Taunton, Somerset. The Grade II listed Somerset County Council Offices were completed in 1935 in accordance with plans drawn up by architect E Vincent Harris. The recording comprised a photographic record compiled before and during the refurbishment works, supplemented by photographic records supplied by building and asbestos contractors. The report analyses the chronological development of the building, using map and documentary evidence in combination with the photographic record, including changes from the originally intended layout and functions of each room between 1935 and 2018. Plans of the changes made during the refurbishment works carried out between 2018-2020 are included with the project archive.
DOI: 10.21258/1659811
title: Inventario forestale nazionale svizzero - Tabella n. 897662
DOI: 10.21258/1663514
title: Inventario forestale nazionale svizzero - Tabella n. 892035
DOI: 10.21258/1634039
title: Inventario forestale nazionale svizzero - Tabella n. 899157
DOI: 10.21258/1658504
title: Inventario forestale nazionale svizzero - Tabella n. 899039
DOI: 10.21258/1635971
title: Inventario forestale nazionale svizzero - Tabella n. 897703
DOI: 10.21258/1633963
title: Inventario forestale nazionale svizzero - Tabella n. 897801
DOI: 10.21258/1660589
title: Inventario forestale nazionale svizzero - Tabella n. 897689
DOI: 10.5281/zenodo.4355424
title: KaKiOS-16: a probabilistic, non-linear, absolute location catalog of the 1981-2011 Southern California seismicity

description: This is the KaKiOS-16 earthquake catalog for southern California. We locate the southern California seismicity using the state-of-the-art probabilistic and nonlinear method NonLinLoc. We use only the P wavepicks to avoid introducing the velocity-model and picking-time errors of the S phase, which is harder to detect and thus less constrained. Using a subset of the best locatable earthquakes, we conduct a joint inversion using the VELEST software to obtain a minimum 1D velocity model and station corrections. We use the NonLinLoc method with this 1D velocity model and the inferred model uncertainties to obtain realistic location distributions for each event.<br>
description: {"references": ["Y. Kamer, E. Kissling, G. Ouillon, D. Sornette; KaKiOS\u201016: A Probabilistic, Nonlinear, Absolute Location Catalog of the 1981\u20132011 Southern California Seismicity. Bulletin of the Seismological Society of America ; 107 (5) doi: https://doi.org/10.1785/0120160146"]}
DOI: 10.5281/zenodo.4355423
title: KaKiOS-16: a probabilistic, non-linear, absolute location catalog of the 1981-2011 Southern California seismicity

description: This is the KaKiOS-16 earthquake catalog for southern California. We locate the southern California seismicity using the state-of-the-art probabilistic and nonlinear method NonLinLoc. We use only the P wavepicks to avoid introducing the velocity-model and picking-time errors of the S phase, which is harder to detect and thus less constrained. Using a subset of the best locatable earthquakes, we conduct a joint inversion using the VELEST software to obtain a minimum 1D velocity model and station corrections. We use the NonLinLoc method with this 1D velocity model and the inferred model uncertainties to obtain realistic location distributions for each event.<br>
description: {"references": ["Y. Kamer, E. Kissling, G. Ouillon, D. Sornette; KaKiOS\u201016: A Probabilistic, Nonlinear, Absolute Location Catalog of the 1981\u20132011 Southern California Seismicity. Bulletin of the Seismological Society of America ; 107 (5) doi: https://doi.org/10.1785/0120160146"]}
DOI: 10.21258/1633208
title: Inventario forestale nazionale svizzero - Tabella n. 899180
DOI: 10.21258/1670968
title: Inventario forestale nazionale svizzero - Tabella n. 899670
DOI: 10.21258/1657499
title: Inventario forestale nazionale svizzero - Tabella n. 897024
DOI: 10.5285/86bdbd9f-b595-41e2-9e3c-516c01fda449
title: CO2 release field experiment global metadata

description: Compilation of CO2 release field experiments conducted worldwide for which the research results are publicly available prior to May 2017. This includes 14 field sites and 41 field experiments.

For each field site, where possible, there is data on: 
The project: including primary aims, partners, total funding, duration, current status, website. 
Site information: including geology (target formation and overburden), hydrology, environment. 
Field experiment set-up: including injection depth, well orientation. 
Summary activity: total number of experiments at the site, total CO2 released. 

For each experiment at each site, where possible, there is data on: 
Injection parameters, including injection strategy, rate, duration, start and end date, CO2 source and properties, use of tracers; Site parameters, such as groundwater depth at time of experiment; Leakage to surface, including whether CO2 leakage to surface occurred, quantitation; Characteristics of surface leakage, including location, distribution, time taken to reach surface, evolution as experiment progresses; Subsurface CO2 spread, in soil gas and groundwater interaction, environmental impact; Monitoring including area monitored, duration of monitoring before, during, and after the release. 

Data sources are clearly cited.

Paper reference: https://www.sciencedirect.com/science/article/pii/S0012825218304264?dgcid=author
DOI: 10.21258/1648700
title: Inventario forestale nazionale svizzero - Tabella n. 898932
DOI: 10.21258/1654666
title: Inventario forestale nazionale svizzero - Tabella n. 891794
DOI: 10.6084/m9.figshare.11991555.v1
title: Genotypes

description: Genotype data in hapmap format for AR lines
DOI: 10.6084/m9.figshare.11991555
title: Genotypes

description: Genotype data in hapmap format for AR lines
DOI: 10.21258/1657348
title: Inventario forestale nazionale svizzero - Tabella n. 892068
DOI: 10.6084/m9.figshare.11991552
title: Phenotypes

description: Anthocyanin and flavone content for Apache Red samples in ug/ml
DOI: 10.6084/m9.figshare.11991552.v1
title: Phenotypes

description: Anthocyanin and flavone content for Apache Red samples in ug/ml