cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25345/c5st7f296
title: MassIVE Reanalysis RMSV000000354.7700 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, MYLIP [launched by 89f2bcaf3c714e3788b179581bc93515]
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/c5st7f309
title: MassIVE Reanalysis RMSV000000354.8088 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, CHMP2A [launched by 89f2bcaf3c714e3788b179581bc93515]
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/c5st7f31s
title: MassIVE Reanalysis RMSV000000354.8295 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, PNMA1 [launched by 89f2bcaf3c714e3788b179581bc93515]
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/c5st7f328
title: MassIVE Reanalysis RMSV000000354.8473 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, POGLUT1 [launched by 89f2bcaf3c714e3788b179581bc93515]
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/c5st7f33r
title: MassIVE Reanalysis RMSV000000354.8681 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, SDC1 [launched by 89f2bcaf3c714e3788b179581bc93515]
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/c5st7f347
title: MassIVE Reanalysis RMSV000000354.9068 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, TMX2 [launched by 89f2bcaf3c714e3788b179581bc93515]
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/c5st7f35q
title: MassIVE Reanalysis RMSV000000354.9460 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, FCRL4 [launched by 89f2bcaf3c714e3788b179581bc93515]
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/c5st7f366
title: MassIVE Reanalysis RMSV000000354.9841 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, HEYL [launched by 89f2bcaf3c714e3788b179581bc93515]
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/c5st7f37p
title: MassIVE Reanalysis RMSV000000354.10229 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, C11orf24 [launched by 89f2bcaf3c714e3788b179581bc93515]
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/c5st7f385
title: MassIVE Reanalysis RMSV000000354.10439 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, STAC3 [launched by 89f2bcaf3c714e3788b179581bc93515]
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: 10.5063/f10000jm
title: Environmental footprint of global food production

description: These global raster data describe the environmental footprint of the majority of food production for 2017. Please refer to the accompanying publication (and supporting methods; Halpern et al. 2022. The environmental footprint of global food production. Nature Sustainability) for more information.We map four dominant global pressures of food production: disturbance (km2eq); blue freshwater consumption (m3 water); excess nutrients (tonnes NP); and greenhouse gas emissions (tonnes CO2eq). Categories of food include 26 crop categories (plus fodder, which is only consumed as feed); 6 livestock animals (cattle, buffalo, goats, sheep, pigs, chickens); 7 categories of marine fisheries, including forage fish species used for fishmeal and oil, other small pelagics, medium pelagics, large pelagics, benthic, demersal, and reef-associated; freshwater fisheries, with one group for all sizes and taxa; and 6 categories of marine aquaculture, including salmonids, unfed or algae fed shellfish, shrimp and prawns, tuna, other marine finfish, other crustaceans. We primarily assess pressures from sources occurring within the farm-gate. In most cases, we exclude activities occurring beyond the farm-gate, such as processing and transportation of product, manufacture of equipment, and extraction of fuel because we were generally unable to map the location of these activities. For feed components, we map the pressures to the location where the crops are likely grown, after accounting for trade, or fish are captured (vs. where they are fed to animals). In addition to the raw data files, we also provide rescaled pressure data and a cumulative pressure index that combines the 4 pressures. To calculate the cumulative pressure, we adopted similar methods as other cumulative measures, rescaling each individual pressure (GHG, FW, NP, D) by dividing the values in each pixel (i) by the total global pressure summed across all food systems and pixels (T), such that each pixel describes its proportional contribution to the global total for that pressure. We then summed these rescaled pressure layers to obtain a total cumulative pressure score (CP) for each pixel i, such that CPi = GHGi/GHGT + FWi/FWT + NPi/NPT + Di/DT (raster cell values are multiplied by 1000000 to avoid small numbers and rounding errors). The result is that each rescaled pixel is a unitless value describing its proportional contribution to the total global pressure. The cumulative pressure index allows direct comparisons among foods, regions, and pressures to identify where: individual pressures are high relative to other pressures, multiple pressures overlap, and hotspots of cumulative pressure are located. This information provides a more complete picture of the environmental pressures occurring at any global area and from each food type. We us the Gall-Peters equal area coordinate reference system with a resolution of 36km2.
DOI: 10.25345/c5st7f39n
title: MassIVE Reanalysis RMSV000000354.10616 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, WDR37 [launched by 89f2bcaf3c714e3788b179581bc93515]
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: 10.5063/f1028pz0
title: Geolocations of all Ephedra californica shrubs at key ecological areas within the San Joaquin Desert.

description: The geolocation of all Ephedra californica shrubs withing key ecological areas within the San Joaquin Desert. All shrubs have been geolocated via the Google earth satellite.
DOI: 10.25345/c5st7f40r
title: MassIVE Reanalysis RMSV000000354.10824 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, SPHK1 [launched by 89f2bcaf3c714e3788b179581bc93515]
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/c5st7f417
title: MassIVE Reanalysis RMSV000000354.11210 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, OR3A1 [launched by 89f2bcaf3c714e3788b179581bc93515]
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: 10.5063/f10863rk
title: Eucalypt Plantations and Bird Data

description: The main objective of this research was to assess how landscape (i.e. forest cover, pasture cover, edge density, number of forest fragments) and local variables (i.e. number of trees, DBH, number of understory plants, understory layer height, number of perches) influence multiple dimensions of understory birds diversity in eucalypt plantations.
DOI: 10.25345/c5st7f42q
title: MassIVE Reanalysis RMSV000000354.11593 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, IDH3B [launched by 89f2bcaf3c714e3788b179581bc93515]
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/c5st7f436
title: MassIVE Reanalysis RMSV000000355.4705 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, VPS39 [launched by dab8bba1f45f4e4082f7fa74fbbf30fb]
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: 10.5063/f10p0xgs
title: Agnes Water Beach, QLD, Australia; 16s sequencing raw data; environmental microbial assemblages; August 2019

description: Uploaded here is the raw 16s sequencing data (fastq) for the study "Microbial niche specialization mediates methane and nitrogen transformations within a subterranean estuary".In this study, we characterize microbial communities driving greenhouse gas and nutrient transformations in a subtropical STE situated within the Great Barrier Reef catchment, Australia. Microbiological and biogeochemical samples were extracted from the STE's terrestrial (freshwater), mixing (brackish) and oceanic (saltwater) zones.For further information refer to the manuscript (Link TBA once published).
DOI: 10.25345/c5st7f44p
title: MassIVE Reanalysis RMSV000000355.5091 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, SNTB2 [launched by dab8bba1f45f4e4082f7fa74fbbf30fb]
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: 10.5063/f10r9mv3
title: The role of climate change and niche shifts in divergent range dynamics of a sister-species pair

description: The datasets collected here were used to generate species distribution models for the great-tailed grackle (Quiscalus mexicanus) and boat-tailed grackle (Quiscalus major) as part of publication by Summers et al. 2022. The publication abstract is included below.Species ranges are set by limitations in climate tolerances, habitat use, and dispersal abilities. Understanding the factors governing species range dynamics remains a challenge that is ever more important in our rapidly changing world. Species ranges can shift if environmental changes affect available habitat, or if the habitat breadth or connectivity of a species changes. The ability of a species to rapidly expand their geographic range through changes in their habitat breadth, also known as niche shifts, has been linked to behavioral flexibility, the ability to change behavior when circumstances change. We tested how changes in habitat availability, habitat breadth, or habitat connectivity contributed to divergent range dynamics in a sister-species pair. The highly behaviorally flexible great-tailed grackle (Quiscalus mexicanus) has expanded its range northward from Texas to South Dakota in the past 40 years, while its closest relative, the boat-tailed grackle (Quiscalus major), has remained tied to the coasts of the Atlantic Ocean and the Gulf of Mexico. We created species distribution and connectivity models trained on citizen science data from 1970-1979 and 2010-2019 to determine how suitable habitat ranges,habitat breadth, and range-wide connectivity have changed for both species. We found that the two species occupy distinct habitats and that the habitat of the great-tailed grackle has shifted to include a larger breadth of urban, arid environments farther from natural water sources. Meanwhile, the boat-tailed grackle has remained limited to warm, wet, coastal environments. We found no evidence that changes in habitat connectivity affected the ranges of either species. Overall, our results suggest that a change in habitat breadth drove the rapid range expansion of the great-tailed grackle, while climate change shaped minor shifts in the available range of the boat-tailed grackle. The expansion in habitat breadth of the great-tailed grackle is consistent with observations that species with high behavioral flexibility can rapidly expand their geographic range by using human-altered habitat. This investigation identifies how opposite responses to anthropogenic change drive divergent range dynamics, elucidating the factors that have and will continue to shape species ranges.
DOI: 10.25345/c5st7f455
title: MassIVE Reanalysis RMSV000000355.5301 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, ZNF784 [launched by dab8bba1f45f4e4082f7fa74fbbf30fb]
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/c5st7f46n
title: MassIVE Reanalysis RMSV000000355.5479 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, PRSS16 [launched by dab8bba1f45f4e4082f7fa74fbbf30fb]
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: 10.5063/f10z71qk
title: The effects of varying temperature on the germination of California natives and invasive plant species

description: 4 different annual plant species found within the California desert were germinated at varying temperatures to determine the overall effect on both successful germination and overall plant mass. 3 species of native plants including Salvia columbarie, Layia platyglossa, and Phacelia tanacetifolia were grown and 1 exotic plant species Bromus rubens. 3 Varying temperature intensities were used including low, medium, and high temperatures. Each species was grown for a total of 6 weeks independently under each treatment. Once the germination trials were completed, individuals were removed from their pots and weighed to determine the overall dry mass.
DOI: 10.25345/c5st7f474
title: MassIVE Reanalysis RMSV000000355.5686 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, C1QL3 [launched by dab8bba1f45f4e4082f7fa74fbbf30fb]
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: 10.5063/f1125r3s
title: A set of Keyhole Markup Language polygons to describe site-level ecoregional differences in the plants and animals of Central California Deserts.

description: A set of Keyhole Markup Language (KML) polygons were generated to describe site-level ecological differences in plant and animal communities within California Deserts. All polygons were acquired and generated with Google Earth satellite.
DOI: 10.25345/c5st7f48m
title: MassIVE Reanalysis RMSV000000355.6074 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, STRN3 [launched by dab8bba1f45f4e4082f7fa74fbbf30fb]
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.