cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25345/c5t727n0j
title: MassIVE Reanalysis RMSV000000354.7816 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, ZNF202 [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/c5t727n11
title: MassIVE Reanalysis RMSV000000354.8202 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, CBX7 [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/f1sj1j1j
title: Effects of leaf litter species on habitat selection

description: We placed shallow experimental pools at a field-forest edge in northern Louisiana, USA as potential sites for Cope’s Gray Treefrog (Hyla chrysoscelis) oviposition with leaf litter from one of 15 different tree species in each pool. Tree species included 13 native trees and 2 invasive species, Bradford pear (Pyrus calleryana) and Chinese Tallow (Triadica sebifera). We measured the concentrations of tannins and 12 elements in leaf tissue, along with water quality and water depth in the pools.
DOI: 10.25345/c5t727n2h
title: MassIVE Reanalysis RMSV000000354.8589 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, ST6GALNAC1 [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/c5t727n30
title: MassIVE Reanalysis RMSV000000354.8797 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, COL20A1 [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/f1t43rjp
title: Lakewide zebra and quagga mussel summary, Oneida Lake, New York, 1992 to present

description: This dataset contains information on zebra and quagga mussels in Oneida Lake and is part of the collection "Cornell Oneida Lake Data" The Cornell Biological Field Station (CBFS) serves as a primary field site for aquatic research at Cornell University (more information can be found at http://www.cbfs.dnr.cornell.edu) and is part of the Department of Natural Resources, College of Agriculture and Life Sciences, Cornell University. The centerpiece of the station's research program is a 60-year database on the food web of Oneida Lake, New York, that has been collected with support from the Cornell University Brown Endowment and from the New York State Department of Environmental Conservation. The data are collected by personnel from the Cornell Biological Field Station and include limnology, benthos, zooplankton, phytoplankton, and fish survey data, primarily from Oneida Lake and spanning 1957 to the present. This data package contains yearly lakewide estimates of biomass, density, and average size of dreissenid mussels collected from 1992 to present.
DOI: 10.25345/c5t727n4g
title: MassIVE Reanalysis RMSV000000354.8975 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, CDC25C [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/f1t72fw3
title: Designcraft for Experiments: Solo Survey

description: A set of remote exercises exploring experimental design for the life sciences. A total of three independent labs were done to focus on different design principles, sampling techniques, and taxa. Exercises are described in full in this open access manual entitled Designcraft for experiments. Data were collected by students in a third-year biology course offering at York University in Toronto, ON, Canada. Students collected the data and published individual datasets to figshare with a CCBY4.0 licensing. Data were then compiled for each lab including balcony birdwatching, backyard bioblitz, and solo surveys. The provenance of each independent observation in the compiled data was recognized by attribution to the initials of the primary data author including citation via DOI and link to figshare.AttributionCJL designed the experiments.Students in course offering collected, innovated, and published individual, primary datasets.MZ and CJL reviewed the compiled data.MetadataRecord-levelyear is the calendar year of work not termexperiment describes the three experimental options in designcraft booksource is either full experiment or pilot experimentrep is the replicate per experimental setlocation is the site name locallyhabitat is the ecological classificationdate is the calendar date for each observation
DOI: 10.25345/c5t727n5z
title: MassIVE Reanalysis RMSV000000354.9189 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, APPL1 [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/c5t727n6f
title: MassIVE Reanalysis RMSV000000354.9365 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, NPAS1 [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/f1td9vs3
title: The effect of shrub density on animal abundance.

description: The following data was collected during the 2019 field season in the Carrizo Plain National Monument in Southern California, United States. 16 Cameras were deployed at varying shrub densities ranging from no shrub individuals to a high number of individuals (11-12 shrubs). These cameras were deployed in 2 of our major sites. Cameras were not rotated and were deployed for a total of 27 continuous days. All animals in each photo were recorded as well as their behaviour, time of photo, and local density.
DOI: 10.25345/c5t727n7x
title: MassIVE Reanalysis RMSV000000354.9575 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, MAT2B [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/c5t727n8d
title: MassIVE Reanalysis RMSV000000354.9959 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, EPHX2 [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/f1th8k4x
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/c5t727n9w
title: MassIVE Reanalysis RMSV000000354.10341 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, LMAN2 [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/c5t727p00
title: MassIVE Reanalysis RMSV000000354.10732 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, TFG [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/c5t727p1g
title: MassIVE Reanalysis RMSV000000354.10936 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, HUS1B [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/f1v1237p
title: Yellow perch abundance and length-at-age in Oneida Lake, New York, 1957 to present

description: This dataset reports estimates of yellow perch abundance and length-at-age for different stage and age groups in Oneida Lake and is part of the collection "Cornell Oneida Lake Data". The Cornell Biological Field Station (CBFS) serves as a primary field site for aquatic research at Cornell University (more information can be found at http://www.dnr.cornell.edu/fieldst/cbfs.htm) and is part of the Department of Natural Resources, College of Agriculture and Life Sciences. The centerpiece of the station's research program is a 60 year database on the food web of Oneida Lake, New York, that has been collected with support from the Cornell University Brown Endowment and from the New York State Department of Environmental Conservation. The data are collected by personnel from the Cornell Biological Field Station and include limnology, benthos, zooplankton, phytoplankton, and fish survey data, primarily from Oneida Lake and spanning 1957 to the present. The estimates in this dataset are based on data from standard trawl (since 1961) and gill nets catches (since 1959) (Trawl and Gillnet Data-packages in the same collection), mark-recapture estimates for age 3 and older yellow perch, an analysis of gill net selectivity and mark-recapture estimates for age 3 and older perch, and Miller sampler surveys for larval yellow perch when the fish are approximately 8 mm and 18 mm. There are two data tables. The first contains abundance and length-at-age for age 1 and older perch. The second contains abundance, length, and sampling dates for the first year of life (larvae, juveniles, age-1 in the following spring).
DOI: 10.25345/c5t727p2z
title: MassIVE Reanalysis RMSV000000354.11117 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, MAPK8IP1 [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/c5t727p3f
title: MassIVE Reanalysis RMSV000000354.11327 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, MSX2 [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/f1v69h1b
title: Global food system pressure data

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/c5t727p4x
title: MassIVE Reanalysis RMSV000000354.11705 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, LMBRD1 [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/f1v986hj
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/c5t727p5d
title: MassIVE Reanalysis RMSV000000355.4824 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, HPCA [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/c5t727p6w
title: MassIVE Reanalysis RMSV000000355.5208 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, TTK [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/f1vh5m89
title: A census of avian observations in Southern California Deserts, CA 2022

description: A survey of all birds observed at desert sites in Southern California. Each census was conducted as a 30 minute point count. Shrubs were counted within a 20m radius around a point at each site.
DOI: 10.25345/c5t727p7c
title: MassIVE Reanalysis RMSV000000355.5594 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, SNRPC [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.