cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.6225335
title: Perceiving numerosity does not cause automatic shifts of spatial attention

description: It is debated whether the representation of numbers is endowed with a directional-spatial component so that perceiving small-magnitude numbers triggers leftward shifts of attention and perceiving large-magnitude numbers rightward shifts. Contrary to initial findings, recent investigations have demonstrated that centrally presented small-magnitude and large-magnitude Arabic numbers do not cause leftward and rightward shifts of attention, respectively. Here we verified whether perceiving small or large non-symbolic numerosities (i.e., clouds of dots) drives attention to the left or the right side of space, respectively. In experiment 1, participants were presented with central small (1, 2) vs large-numerosity (8, 9) clouds of dots followed by an imperative target in the left or right side of space. In experiment 2, a central cloud of dots (i.e., five dots) was followed by the simultaneous presentation of two identical dot-clouds, one on the left and one on the right side of space. Lateral clouds were both lower (1, 2) or higher in numerosity (8, 9) than the central cloud. After a variable delay, one of the two lateral clouds turned red and participants had to signal the colour change through a unimanual response. We found that (a) in Experiment 1, the small vs large numerosity of the central cloud of dots did not speed up the detection of left vs right targets, respectively, (b) in Experiment 2, the detection of colour change was not faster in the left side of space when lateral clouds were smaller in numerosity than the central reference and in the right side when clouds were larger in numerosity. These findings show that perceiving non-symbolic numerosity does not cause automatic shifts of spatial attention and suggests no inherent association between the representation of numerosity and that of directional space.
DOI: 10.25345/c5ns0kz6t
title: MassIVE Reanalysis RMSV000000354.4350 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, PPM1K [launched by fce971e5ede541cca3fc5307a73294d8]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.5281/zenodo.6189715
title: CoCryM project - Datasets - 04

description: Source datasets for CoCryM project, more info on: https://sites.google.com/view/makhansary/publications
description: Alternatively can be found on: https://sites.google.com/view/makhansary/downloads
DOI: 10.5281/zenodo.6189714
title: CoCryM project - Datasets - 04

description: Source datasets for CoCryM project, more info on: https://sites.google.com/view/makhansary/publications
description: Alternatively can be found on: https://sites.google.com/view/makhansary/downloads
DOI: 10.5281/zenodo.6164838
title: CoCryM project - Datasets - 01

description: Source datasets for CoCryM project, more info on: https://sites.google.com/view/makhansary/publications
description: Alternatively can be found on: https://sites.google.com/view/makhansary/downloads
DOI: 10.5281/zenodo.6164837
title: CoCryM project - Datasets - 01

description: Source datasets for CoCryM project, more info on: https://sites.google.com/view/makhansary/publications
description: Alternatively can be found on: https://sites.google.com/view/makhansary/downloads
DOI: 10.5281/zenodo.6189068
title: CoCryM project - Datasets - 02

description: Source datasets for CoCryM project, more info on: https://sites.google.com/view/makhansary/publications
description: Alternatively can be found on: https://sites.google.com/view/makhansary/downloads
DOI: 10.5281/zenodo.6189067
title: CoCryM project - Datasets - 02

description: Source datasets for CoCryM project, more info on: https://sites.google.com/view/makhansary/publications
description: Alternatively can be found on: https://sites.google.com/view/makhansary/downloads
DOI: 10.5281/zenodo.6189100
title: CoCryM project - Datasets - 03

description: Source datasets for CoCryM project, more info on: https://sites.google.com/view/makhansary/publications
description: Alternatively can be found on: https://sites.google.com/view/makhansary/downloads
DOI: 10.5281/zenodo.6189099
title: CoCryM project - Datasets - 03

description: Source datasets for CoCryM project, more info on: https://sites.google.com/view/makhansary/publications
description: Alternatively can be found on: https://sites.google.com/view/makhansary/downloads
DOI: 10.5281/zenodo.6189885
title: CoCryM project - Datasets - 05

description: Source datasets for CoCryM project, more info on: https://sites.google.com/view/makhansary/publications
description: Alternatively can be found on: https://sites.google.com/view/makhansary/downloads
DOI: 10.5281/zenodo.6189884
title: CoCryM project - Datasets - 05

description: Source datasets for CoCryM project, more info on: https://sites.google.com/view/makhansary/publications
description: Alternatively can be found on: https://sites.google.com/view/makhansary/downloads
DOI: 10.6084/m9.figshare.19208544
title: Figure S11 LC-MS for SAH detection

description: LC-MS analysis highlighting the lack of SAH in apo-<i>Sa</i>TrmK post extraction with TCA. A sample of SAH standard was also subjected to the same extraction protocol to confirm the TCA was not interfering with signal. The mass m/z of SAH was extracted from both runs - 385.129 - where only signal was seen in the SAH standard.
DOI: 10.6084/m9.figshare.19208544.v1
title: Figure S11 LC-MS for SAH detection

description: LC-MS analysis highlighting the lack of SAH in apo-<i>Sa</i>TrmK post extraction with TCA. A sample of SAH standard was also subjected to the same extraction protocol to confirm the TCA was not interfering with signal. The mass m/z of SAH was extracted from both runs - 385.129 - where only signal was seen in the SAH standard.
DOI: 10.5281/zenodo.6225344
title: Monthly_Water_Stress_Levels_VLab1

description: Data for Monthly_Water_Stress_Levels_VLab1
DOI: 10.5281/zenodo.6225343
title: Monthly_Water_Stress_Levels_VLab1

description: Data for Monthly_Water_Stress_Levels_VLab1
DOI: 10.14768/47b4525f-ff39-4940-a963-4d2673f2362e
title: BOOM: Tephrochronology dataset of the Southern and Austral volcanic zones of the Andes

description: The Southern (SVZ, 33–46° S) and Austral (AVZ, 49–55° S) volcanic Zones of the Andes are two very active volcanic zones, where ~65 volcanic centers have been identified which have had recurrent explosive activity in historical times. This catalog compiles a dataset integrating tephrochronology and volcanology information on 32 volcanic centers and 132 individual eruptions in the SVZ and AVZ.
DOI: 10.25345/c5j09w53b
title: MassIVE Reanalysis RMSV000000354.4352 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, FAM189B [launched by fce971e5ede541cca3fc5307a73294d8]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.25345/c5d795b8g
title: MassIVE Reanalysis RMSV000000354.4351 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, NOL7 [launched by fce971e5ede541cca3fc5307a73294d8]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.25345/c58g8fj4b
title: MassIVE Reanalysis RMSV000000354.4353 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, IL21 [launched by fce971e5ede541cca3fc5307a73294d8]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.25345/c54q7qr06
title: MassIVE Reanalysis RMSV000000354.4354 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, PXMP4 [launched by fce971e5ede541cca3fc5307a73294d8]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.5281/zenodo.3934264
title: al-Qurʼān: Kufic fragment [IO Loth 2] القرآن الكريم

description: al-Qurʼān القرآن الكريم : Kufic fragment <strong>This manuscript is now 39A in the India Office collections.</strong> <strong>[metadata:</strong> <strong>Otto Loth, </strong><strong><em>A Catalogue of the Arabic Manuscripts in the Library of the India Office</em>, (volume 1), here with further notations and hyperlinks]</strong>. 2. 39 A. Size 4 in. by 6 in.; foll. 52. Three lines in a page. Another Kûfic fragment, containing (foll. 1-34) Sûrah <strong>2</strong>, 254-282, and (foll. 35-51) Sû. <strong>3</strong>, 14-32. Large characters, rather cursive; the لا flourished in a peculiar way. A few red dots for vowels. Verses marked in the same way as in the preceding MS [=Catalogue no. 1], bordered with paper, highly ornamented and gilt. The last leaf-on the back of which are also Kûfic characters, but nearly effected-bears on the <em>recto</em>, within ornaments, the words: کتب حسن بن علی (sic). On some pages the letters have vanished; the margin is slightly injured. Bound in gilt leather.
DOI: 10.5281/zenodo.3934263
title: al-Qurʼān: Kufic fragment [IO Loth 2] القرآن الكريم

description: al-Qurʼān القرآن الكريم : Kufic fragment <strong>This manuscript is now 39A in the India Office collections.</strong> <strong>[metadata:</strong> <strong>Otto Loth, </strong><strong><em>A Catalogue of the Arabic Manuscripts in the Library of the India Office</em>, (volume 1), here with further notations and hyperlinks]</strong>. 2. 39 A. Size 4 in. by 6 in.; foll. 52. Three lines in a page. Another Kûfic fragment, containing (foll. 1-34) Sûrah <strong>2</strong>, 254-282, and (foll. 35-51) Sû. <strong>3</strong>, 14-32. Large characters, rather cursive; the لا flourished in a peculiar way. A few red dots for vowels. Verses marked in the same way as in the preceding MS [=Catalogue no. 1], bordered with paper, highly ornamented and gilt. The last leaf-on the back of which are also Kûfic characters, but nearly effected-bears on the <em>recto</em>, within ornaments, the words: کتب حسن بن علی (sic). On some pages the letters have vanished; the margin is slightly injured. Bound in gilt leather.
DOI: 10.25345/c50z70x6t
title: MassIVE Reanalysis RMSV000000354.4355 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, AP3S1 [launched by fce971e5ede541cca3fc5307a73294d8]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.25345/c5w669915
title: MassIVE Reanalysis RMSV000000354.4356 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, WRAP73 [launched by fce971e5ede541cca3fc5307a73294d8]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.25345/c5rj48w0b
title: MassIVE Reanalysis RMSV000000354.4357 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, METTL15 [launched by fce971e5ede541cca3fc5307a73294d8]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.25345/c5ms3k27g
title: MassIVE Reanalysis RMSV000000354.4358 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, CCDC130 [launched by fce971e5ede541cca3fc5307a73294d8]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.5281/zenodo.6225439
title: Ictinia mississippiensis SPAdes preassembly

description: .
DOI: 10.5281/zenodo.6225438
title: Ictinia mississippiensis SPAdes preassembly

description: .
DOI: 10.25345/c5h12v825
title: MassIVE MSV000088888 - Prueba2 gnps metabolomic PRUEBA PRUEBA
title: prueba metabolomica gnps prueba prueba gnps network lcms preuab orueba
DOI: 10.25345/c5c824f8s
title: MassIVE Reanalysis RMSV000000354.4360 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, EXOC1 [launched by fce971e5ede541cca3fc5307a73294d8]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.5517/ccdc.csd.cc28nz97
title: CCDC 2105529: Experimental Crystal Structure Determination

description: Related Article: Tyson N. Dais, Rina Takano, Takayuki Ishida, Paul G. Plieger|2022|RSC Advances|12|4828|doi:10.1039/D1RA08797E
DOI: 10.5517/ccdc.csd.cc28nzb8
title: CCDC 2105530: Experimental Crystal Structure Determination

description: Related Article: Tyson N. Dais, Rina Takano, Takayuki Ishida, Paul G. Plieger|2022|RSC Advances|12|4828|doi:10.1039/D1RA08797E
DOI: 10.5517/ccdc.csd.cc28nzc9
title: CCDC 2105531: Experimental Crystal Structure Determination

description: Related Article: Tyson N. Dais, Rina Takano, Takayuki Ishida, Paul G. Plieger|2022|RSC Advances|12|4828|doi:10.1039/D1RA08797E
DOI: 10.5517/ccdc.csd.cc28nzdb
title: CCDC 2105532: Experimental Crystal Structure Determination

description: Related Article: Tyson N. Dais, Rina Takano, Takayuki Ishida, Paul G. Plieger|2022|RSC Advances|12|4828|doi:10.1039/D1RA08797E
DOI: 10.6084/m9.figshare.16838293
title: Properties of Two While-Alive Estimands for Recurrent Events and Their Potential Estimators

description: Chronic diseases are often characterized through the repeated occurrence of unfavorable events. In chronic heart failure (CHF), recurrent hospitalizations characterize disease burden but the risk of death is not negligible. This leads to two main challenges. First, the definition of a clinically interpretable treatment effect measure (estimand) needs careful attention. Second, finding suitable analysis methods (estimators) that target the estimand of interest is difficult. In this article,we study the two estimands using the while-alive strategy described by Schmidli et al. For realistic CHF populations based on joint frailty model assumptions, we calculate the estimand values analytically and discuss their clinical interpretability. We also show that quasi-Poisson regression leads to an asymptotically unbiased estimator for the two estimands using the while-alive strategy, and that Lin-Wei-Yang-Ying is asymptotically unbiased under constant event rate conditional on being alive, by both analytic derivation and numerical simulations. We also investigate these estimators, together with the method-of-moments-estimator, in two CHF clinical trials. The findings in this article support the claim that treatment effect measures can be defined based on recurrent event endpoints that are clinically interpretable and statistically estimable.
DOI: 10.6084/m9.figshare.16838293.v3
title: Properties of Two While-Alive Estimands for Recurrent Events and Their Potential Estimators

description: Chronic diseases are often characterized through the repeated occurrence of unfavorable events. In chronic heart failure (CHF), recurrent hospitalizations characterize disease burden but the risk of death is not negligible. This leads to two main challenges. First, the definition of a clinically interpretable treatment effect measure (estimand) needs careful attention. Second, finding suitable analysis methods (estimators) that target the estimand of interest is difficult. In this article,we study the two estimands using the while-alive strategy described by Schmidli et al. For realistic CHF populations based on joint frailty model assumptions, we calculate the estimand values analytically and discuss their clinical interpretability. We also show that quasi-Poisson regression leads to an asymptotically unbiased estimator for the two estimands using the while-alive strategy, and that Lin-Wei-Yang-Ying is asymptotically unbiased under constant event rate conditional on being alive, by both analytic derivation and numerical simulations. We also investigate these estimators, together with the method-of-moments-estimator, in two CHF clinical trials. The findings in this article support the claim that treatment effect measures can be defined based on recurrent event endpoints that are clinically interpretable and statistically estimable.
DOI: 10.6084/m9.figshare.16838293.v2
title: Properties of Two While-Alive Estimands for Recurrent Events and Their Potential Estimators

description: Chronic diseases are often characterized through the repeated occurrence of unfavorable events. In chronic heart failure (CHF), recurrent hospitalizations characterize disease burden but the risk of death is not negligible. This leads to two main challenges. First, the definition of a clinically interpretable treatment effect measure (estimand) needs careful attention. Second, finding suitable analysis methods (estimators) that target the estimand of interest is difficult. In this article,we study the two estimands using the while-alive strategy described by Schmidli et al. For realistic CHF populations based on joint frailty model assumptions, we calculate the estimand values analytically and discuss their clinical interpretability. We also show that quasi-Poisson regression leads to an asymptotically unbiased estimator for the two estimands using the while-alive strategy, and that Lin-Wei-Yang-Ying is asymptotically unbiased under constant event rate conditional on being alive, by both analytic derivation and numerical simulations. We also investigate these estimators, together with the method-of-moments-estimator, in two CHF clinical trials. The findings in this article support the claim that treatment effect measures can be defined based on recurrent event endpoints that are clinically interpretable and statistically estimable.
DOI: 10.25345/c57h1dn4n
title: MassIVE Reanalysis RMSV000000354.4359 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, COPS8 [launched by fce971e5ede541cca3fc5307a73294d8]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.25345/c53r0pv0h
title: MassIVE Reanalysis RMSV000000354.4361 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, ANXA10 [launched by fce971e5ede541cca3fc5307a73294d8]
title: Center for Computational Mass Spectrometry (CCMS) systematic reanalysis of public proteomics mass spectrometry (MS) datasets provides a public, large-scale and comparable set of dataset reanalyses results including detailed provenance records. To further facilitate the broad reusability of public proteomics MS data, these reanalyses were also used to build the MassIVE Knowledge Base (MassIVE-KB) spectral library, a community-wide resource derived from hundreds of millions of identified spectra from tens of terabytes of mass spectrometry data.
DOI: 10.6084/m9.figshare.19213896
title: Analytical Code from Evaluating refugia in recent human evolution in Africa

description: R code for running analyses presented here, using freely available datasets
DOI: 10.6084/m9.figshare.19213896.v1
title: Analytical Code from Evaluating refugia in recent human evolution in Africa

description: R code for running analyses presented here, using freely available datasets