cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25345/c5bg2hb4t
title: MassIVE Reanalysis RMSV000000354.4338 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, SEC13 [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: 10.48370/ofd/k88nmm/yrwhyd
title: Anthaxia signaticollis.JPG

description: :unav
DOI: 10.48370/ofd/k88nmm
title: Anthaxia (s.str.) signaticollis (Krynicki, 1832), C-329

description: Coleoptera collection
DOI: 10.25345/c56q1sj0p
title: MassIVE Reanalysis RMSV000000354.4339 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, ALDOA [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.14822256.v3
title: Datasets on South Korean manufacturing factories’ electricity consumption and demand response participation

description: This study describes the release of electricity consumption data of some manufacturing factories located in South Korea that participate in the demand response (DR) market. The data (in kilowatt) comprise individual factories’ total power usage details that were acquired using advanced metering infrastructures. They further contain details on the manufacture types, DR participation dates, mandatory reduction capacities, and response capacities of the factories. For data acquisition, 10 manufacturing companies are representatively selected according to the process regularity and company size standard of this study. Entire datasets are newly collected and available at one-minute intervals for a period of 7 months from 1 March to 30 September 2019. These datasets can be used in a variety of ways to contribute to the functioning of power systems and markets, including the conduction of industrial load characteristic analysis for load flexibility, estimation of demand-side considerations for virtual power plant design, and determination of energy markets and incentives to achieve carbon neutrality targets at the national level.
DOI: 10.25345/c52z12q69
title: MassIVE Reanalysis RMSV000000354.4340 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, CLIC1 [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/c5z60c31n
title: MassIVE Reanalysis RMSV000000354.4341 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, PAQR3 [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: 10.48370/ofd/pkbev1/dkk7dr
title: Anthaxia signaticollis 1.JPG

description: :unav
DOI: 10.48370/ofd/pkbev1
title: Anthaxia (s.str.) signaticollis (Krynicki, 1832), C-330

description: Coleoptera collection
DOI: 10.25345/c5td9n87b
title: MassIVE Reanalysis RMSV000000354.4342 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, DNAJB1 [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.19208043
title: Figure 8C inhibition of SaTrmK by plumbagin

description: Intact protein mass measurement on a Xevo G2S Tof mass spectrometer in positive ESI. Data collected from 500-2500m/z and processed using the MaxEnt 1 algorithm into deconvoluted data using 0.4Da peak width and 0.1resoltuion.<br>
DOI: 10.6084/m9.figshare.19208043.v1
title: Figure 8C inhibition of SaTrmK by plumbagin

description: Intact protein mass measurement on a Xevo G2S Tof mass spectrometer in positive ESI. Data collected from 500-2500m/z and processed using the MaxEnt 1 algorithm into deconvoluted data using 0.4Da peak width and 0.1resoltuion.<br>
DOI: 10.6084/m9.figshare.19209993
title: Figure 7C LC-MS analysis of SaTrmK-catalysed methylation of A11-RNA-18mer

description: Methylation of A11-RNA<sup>18mer</sup> by SaTrmK was confirmed by LC-MS. The same extraction procedure and LC-MS protocol was conducted as described in Figure 6C.
DOI: 10.6084/m9.figshare.19209993.v1
title: Figure 7C LC-MS analysis of SaTrmK-catalysed methylation of A11-RNA-18mer

description: Methylation of A11-RNA<sup>18mer</sup> by SaTrmK was confirmed by LC-MS. The same extraction procedure and LC-MS protocol was conducted as described in Figure 6C.
DOI: 10.6084/m9.figshare.19213620.v1
title: Datasets

description: The datasets were created for the following study.<br>* Y. Bitirim, "A Content-Based Product Recommendation Approach".
DOI: 10.6084/m9.figshare.14822256.v4
title: Datasets on South Korean manufacturing factories’ electricity consumption and demand response participation

description: This study describes the release of electricity consumption data of some manufacturing factories located in South Korea that participate in the demand response (DR) market. The data (in kilowatt) comprise individual factories’ total power usage details that were acquired using advanced metering infrastructures. They further contain details on the manufacture types, DR participation dates, mandatory reduction capacities, and response capacities of the factories. For data acquisition, 10 manufacturing companies are representatively selected according to the process regularity and company size standard of this study. Entire datasets are newly collected and available at one-minute intervals for a period of 7 months from 1 March to 30 September 2019. These datasets can be used in a variety of ways to contribute to the functioning of power systems and markets, including the conduction of industrial load characteristic analysis for load flexibility, estimation of demand-side considerations for virtual power plant design, and determination of energy markets and incentives to achieve carbon neutrality targets at the national level.
DOI: 10.25345/c5pn8xg4p
title: MassIVE Reanalysis RMSV000000354.4343 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, ULK3 [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: 10.48370/ofd/v0pynz/ha6ylc
title: Anthaxia chevrieri.JPG

description: :unav
DOI: 10.48370/ofd/v0pynz
title: Anthaxia (s.str.) chevrieri (Gory Laporte, 1839), C-331

description: Coleoptera collection
DOI: 10.5281/zenodo.6225174
title: Pupil dilation during orienting of attention and conscious detection of visual targets in patients with left spatial neglect

description: Right Brain-Damaged patients (RBD) with left spatial neglect (N+), are characterised by deficits in orienting and re-orienting attention to stimuli in the contralesional left side of space. In a recent ERPs study with visual stimuli (Lasaponara et al., 2018) we have pointed out that the pathological attentional bias of N+ is matched with exaggerated novelty reaction and contextual updating of targets in the right ipsilesional space and reduced novelty reaction and contextual updating of targets in the left contralesional space. To characterise further the attentional performance of N+, here we measured Pupil Dilation (PDil), which is a reliable marker of noradrenergic-locus coeruleus activity and response to unexpected events/rewards. Compared to Neutral and Valid targets, N+ patients displayed a pathological reduction of PDil in response to infrequent Invalid targets in the left side of space, while in Healthy Controls (HC) and RBD without neglect (N-) the same targets enhanced PDil with respect to Neutral and frequent Valid targets. Invalid targets in the right side of space enhanced PDil in all experimental groups. Interestingly, both N- and N+ showed a consistent number of target omissions both in the left and right side of space. With respect to seen targets, N- showed reduced PDil in response to unseen targets both in the left and right side of space. In contrast, N+ had reduced PDil in response to unseen targets in the left side of space though not in the right side, where seen and unseen targets evoked comparable levels of PDil. These results disclose, for the first time, the PDil correlates of spatial attention in left spatial neglect and suggest that the pathological attentional bias suffered by N+ might enhance the autonomic responses reflected in PDil to unseen ipsilesional stimuli. This enhancement can contribute to biasing contextual updating and predictive coding of stimuli in the ipsilesional space, thus worsening the pathological attentional bias of N+.
DOI: 10.5281/zenodo.6225173
title: Pupil dilation during orienting of attention and conscious detection of visual targets in patients with left spatial neglect

description: Right Brain-Damaged patients (RBD) with left spatial neglect (N+), are characterised by deficits in orienting and re-orienting attention to stimuli in the contralesional left side of space. In a recent ERPs study with visual stimuli (Lasaponara et al., 2018) we have pointed out that the pathological attentional bias of N+ is matched with exaggerated novelty reaction and contextual updating of targets in the right ipsilesional space and reduced novelty reaction and contextual updating of targets in the left contralesional space. To characterise further the attentional performance of N+, here we measured Pupil Dilation (PDil), which is a reliable marker of noradrenergic-locus coeruleus activity and response to unexpected events/rewards. Compared to Neutral and Valid targets, N+ patients displayed a pathological reduction of PDil in response to infrequent Invalid targets in the left side of space, while in Healthy Controls (HC) and RBD without neglect (N-) the same targets enhanced PDil with respect to Neutral and frequent Valid targets. Invalid targets in the right side of space enhanced PDil in all experimental groups. Interestingly, both N- and N+ showed a consistent number of target omissions both in the left and right side of space. With respect to seen targets, N- showed reduced PDil in response to unseen targets both in the left and right side of space. In contrast, N+ had reduced PDil in response to unseen targets in the left side of space though not in the right side, where seen and unseen targets evoked comparable levels of PDil. These results disclose, for the first time, the PDil correlates of spatial attention in left spatial neglect and suggest that the pathological attentional bias suffered by N+ might enhance the autonomic responses reflected in PDil to unseen ipsilesional stimuli. This enhancement can contribute to biasing contextual updating and predictive coding of stimuli in the ipsilesional space, thus worsening the pathological attentional bias of N+.
DOI: 10.25345/c5k06x21m
title: MassIVE Reanalysis RMSV000000354.4344 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, CRYBA4 [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.19149728.v2
title: RAW Data for MALNUTRITION DURING PANDEMIC AMONG HOME-NURSED AND COMMUNITY-DWELLING ELDERLY

description: This data contains RAW Data for MALNUTRITION DURING PANDEMIC AMONG HOME-NURSED AND COMMUNITY-DWELLING ELDERLY.
DOI: 10.48370/ofd/ucykjf/hwpykd
title: Anthaxia hypomelaena.JPG

description: :unav
DOI: 10.48370/ofd/ucykjf
title: Anthaxia (s.str.) hypomelaena (Illiger, 1803), C-332

description: Coleoptera collection
DOI: 10.6084/m9.figshare.19207890
title: Figure 8D Inhibition of SaTrmK by plumbagin

description: MSMS fragmentation data of SaTrmK and plumbagin incubated SaTrmK gluC/trypsin digest. Data acquired on a Sciex 5600 QTof style mass spectrometer with CID fragmentation<br>
DOI: 10.6084/m9.figshare.19213620.v2
title: The datasets

description: The datasets were created for the following study.<br>* Y. Bitirim, "A Content-Based Product Recommendation Approach".
DOI: 10.25345/c5f76678q
title: MassIVE Reanalysis RMSV000000354.4346 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, ZNF24 [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/c59g5gf33
title: MassIVE Reanalysis RMSV000000354.4345 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, SCLT1 [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.19209963
title: Figure 6C LC-MS analysis of SaTrmK-catalysed methylation of tRNA-Leu

description: Methylation of tRNA<sup>Leu </sup>by <i>Sa</i>TrmK was confirmed via LC-MS analysis. A labelled internal standard - N<sup>1</sup>-methyl-AMP - was used to correct for any loss from the extraction procedure.
DOI: 10.6084/m9.figshare.19209963.v1
title: Figure 6C LC-MS analysis of SaTrmK-catalysed methylation of tRNA-Leu

description: Methylation of tRNA<sup>Leu </sup>by <i>Sa</i>TrmK was confirmed via LC-MS analysis. A labelled internal standard - N<sup>1</sup>-methyl-AMP - was used to correct for any loss from the extraction procedure.
DOI: 10.25345/c55q4rm9b
title: MassIVE Reanalysis RMSV000000354.4347 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, TRIM32 [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/c51z41t62
title: MassIVE Reanalysis RMSV000000354.4349 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, NSUN2 [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/c5x63b61d
title: MassIVE Reanalysis RMSV000000354.4348 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, GDF5 [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.19213620
title: test

description: test
DOI: 10.6084/m9.figshare.19213620.v4
title: test

description: test
DOI: 10.6084/m9.figshare.19213620.v3
title: The datasets

description: The datasets were created for the following study.<br>* Y. Bitirim, "A Content-Based Product Recommendation Approach".
DOI: 10.25345/c5sf2mc7n
title: MassIVE MSV000088887 - A quality control pipeline for multiplexed single cell proteomics
title: We have developed a python script for the rapid analysis and quality filtering of multiplexed single cell proteomics data.
DOI: 10.5066/p9m8ub62
title: Genetic and morphologic characteristics of Typha (cattail) taxa of the Prairie Pothole Region of the United States (2018)

description: Cattail (Typha) is a common plant found throughout the Prairie Pothole Region (PPR) of the United State. Typha x glauca, a hybrid between Typha latifolia and Typha angustifolia, is considered an invasive species that has spread across the PPR, negatively impacting the regions important wetlands and other aquatic habitats. The distribution of the various cattail taxa, however, is not well understood in the PPR. This data release reports genetic and morphologic data from a study intended to assess the distribution of the invasive hybrid cattail. Genetic-based taxonomic data (cattail taxa) are provided from nearly 500 cattail tissue samples collected from over 80 PPR wetlands.
DOI: 10.5281/zenodo.6225337
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.