cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25345/c5sx64g9h
title: MassIVE Reanalysis RMSV000000354.9634 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, HAT1 [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/c5sx64h0m
title: MassIVE Reanalysis RMSV000000354.10020 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, CYP2B6 [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/f15x27bf
title: Digitisation of Weather Records of Seungjeongwon Ilgi: A Historical Weather Dynamics Dataset of the Korean Peninsula (1623-1910)

description: This study has exploited the daily weather records of Seungjeongwon Ilgi from the NIKH database. Seungjeongwon Ilgi is a daily record of the Seungjeongwon, the Royal Secretariat of the Joseon Dynasty of Korea. These diaries span from 1623 to 1910 and generally involve daily weather records in the entry header. Their observational site would be located in Seoul (N37°35′, E126°59′). We have exploited the weather records from the NIKH database and classified the daily weather using text mining method. We have also converted the report dates from the traditional lunisolar calendar to the Gregorian calendar, to better contextualise our data into the contemporary daily measurements.
DOI: 10.25345/c5sx64h13
title: MassIVE Reanalysis RMSV000000354.10404 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, LYZL2 [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/c5sx64h2k
title: MassIVE Reanalysis RMSV000000354.10793 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, BTBD6 [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/f1668bmm
title: Old Tampa Bay Philippe Park Wave Gauge Deployment

description: Living shoreline elements will be installed in 2023 to encompass the ~1000 m seawall in Philippe Park, Pinellas County, FL. The University of South Florida (USF) and the Tampa Bay Estuary Program (TBEP) are collaborating with Pinellas County to monitor the wave field in the vicinity of the seawall in Philippe Park. A pressure gauge array of 4 sensors has been assembled for deployment in shallow (nearshore) water. An initial deployment began July 1, 2022 and was recovered July 6, 2022. A second deployment began August 29, 2022 and was recovered September 9, 2022. A third deployment began November 21, 2022 and was recovered December 22, 2022. The files herein are for the separate deployments that describe the wave field pre-installation of the living shoreline. Data were collected continuously at 4Hz using a RBR Concerto 3 data logger.
DOI: 10.25345/c5sx64h32
title: MassIVE Reanalysis RMSV000000354.11001 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, P2RY8 [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/f169721b
title: Bottom trawl surveys from Oneida Lake, NY, 1958 to present

description: This dataset contains trawl data from Oneida Lake, NY from 1958 to present and is part of the data set "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 from Oneida Lake and from 1957 to present. In addition to the 10 standard trawling sites, data from an additional seven shallow water sites that were sampled during 1971 and 1973 - 1977 are also reported in this dataset. The trawl summary table contains total catch, total weight, and mean weight data by species and age group (adult and young of year) for each sampling date. Weight is not available for all groups and time periods. Additional tables report catch per unit effort by year and age (1-6+ and 1-7+, respectively) for yellow perch and walleye. Auxiliary tables contain explanations of species codes and latitudes and longitudes for all sampling sites.
DOI: 10.25345/c5sx64h4j
title: MassIVE Reanalysis RMSV000000354.11178 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, KCTD13 [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/c5sx64h51
title: MassIVE Reanalysis RMSV000000354.11388 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, ARHGEF9 [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/f16h4fvk
title: Data used for article "Historical use of coastal wetlands by small-scale fisheries in the Northern Gulf of California" Morzaria et al.

description: We used wetland resource users’ Local Ecological Knowledge to document historical patterns of commercial species abundance, areas of fishing importance, trophic level, and species richness and composition in coastal wetlands in the Northern Gulf of California, Mexico. We also reconstructed the environmental history of coastal wetlands in this region from bibliographic sources and photographic records, to document impacts that could have affected coastal fisheries. We found a consistent downward trend in target species abundance; the decrease was perceived as more pronounced by fishers that began fishing in or prior to the 1950’s, pointing to shifting baselines, and the failure of resource users to recognize environmental change and accept degraded states as normal. Areas of fishing importance within coastal wetlands also decreased over time. The trophic level of catch showed no distinct pattern across wetland sites or time. Perceived species richness and composition increased with wetland size. Our analysis of the small-scale use of coastal wetlands in the Northern Gulf is relevant to food security and can provide insight into how local populations adapt to depleted coastal food webs. This data set includes raw interview data from resource users and experts, areas of fishing importance, participatory drawings, photographic and map collections, and a bibliographic database.
DOI: 10.25345/c5sx64h6h
title: MassIVE Reanalysis RMSV000000355.4496 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, SGK3 [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/c5sx64h70
title: MassIVE Reanalysis RMSV000000355.4883 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, AGPAT2 [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/c5sx64h8g
title: MassIVE Reanalysis RMSV000000355.5270 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, FAM195A [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/f16t0k2h
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/c5sx64h9z
title: MassIVE Reanalysis RMSV000000355.5657 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, TNFSF13 [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/c5sx64j02
title: MassIVE Reanalysis RMSV000000355.5864 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, FAM55B [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/f1736pc4
title: A List With Traits of all Herptile Species Within Central California Deserts

description: The following data contains species-specific traits, abundance, and burrow presence within deserts in Southern California.GBIF.org (21 September 2022) GBIF Occurrence Download https://doi.org/10.15468/dl.5jhd82
DOI: 10.25345/c5sx64j1j
title: MassIVE Reanalysis RMSV000000355.6043 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, MEGF9 [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/c5sx64j21
title: MassIVE Reanalysis RMSV000000355.6252 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, ARL2BP [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/f1794348
title: Zooplankton in Offshore Lake Ontario during Intensive Sampling Years 2003 and 2008: Results from the LOLA (Lake Ontario Lower foodweb Assessment) program

description: Intensive sampling of the offshore waters of Lake Ontario occurs on a five-year cycle. The 2003 and 2008 binational sampling program is known as the Lake Ontario Lower foodweb Assessment (LOLA). Research cruises were conducted in spring (April), summer (July or August) and fall (September) along several north-south transects. This data package includes epilimnetic (surface layer) and whole water column measurements for zooplankton size (mm), density (#/m3) and biomass (mg dry weight/m3) by species for each site. Veliger size and density from these tows are included as a separate file. Other trophic indicators measured during this program include nutrients (total phosphorus, dissolved silica), water clarity (secchi depth), dissolved oxygen, chlorophyll a, and an assessment of phytoplankton, the microbial food web and the benthic community.
DOI: 10.25345/c5sx64j3h
title: MassIVE Reanalysis RMSV000000355.6640 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, ZSWIM7 [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/f17d2sm3
title: Geolocations of all Larrea tridentata shrubs at key ecological areas within the Mojave Desert

description: The geolocation of all Larrea tridentata shrubs within the Mojave Desert. All shrubs have been geolocated via the Google earth satellite.
DOI: 10.25345/c5sx64j40
title: MassIVE Reanalysis RMSV000000355.7027 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, PPP6C [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/c5sx64j5g
title: MassIVE Reanalysis RMSV000000355.7420 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, GUCA1B [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/f17m06c7
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/c5sx64j6z
title: MassIVE Reanalysis RMSV000000355.7804 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, TMEM167B [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/c5sx64j7f
title: MassIVE Reanalysis RMSV000000355.8014 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, ICK [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/f17p8wvh
title: Raw cone counts of 20 spruce trees near Twin Lakes, Yukon (61.702424º, -135.935528º) on 1 September 2019

description: This dataset comprises raw counts of new unopened cones ("newcones") visible in the top 3 m of n = 20 spruce trees located near Twin Lakes, Yukon Territory (61.702424º, -135.935528º). The spruce trees were a mix of black spruce (Picea mariana) and white spruce (Picea glauca). Counts were obtained by counting cones visible in high-resolution photos of the tree crowns following protocols described in LaMontagne et al. (2005) Can. J. For. Res. 35(12): 3020–3026. All trees included were greater than 5 cm diameter at breast height (dbh; dbh values included here). The purpose of this dataset was to estimate the resource environment in which red squirrels were foraging as described in Jackson and Wishart (in prep). Contains comments regarding squirrel and squirrel midden activity in the area at the time of counts.
DOI: 10.25345/c5sx64j8x
title: MassIVE Reanalysis RMSV000000355.8191 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, SBNO1 [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.