cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5063/f1f18x58
title: Designcraft for Experiments: Balcony Birdwatching

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, NG 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/c5t14tx2t
title: MassIVE Reanalysis RMSV000000355.5447 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, C16orf74 [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/c5t14tx39
title: MassIVE Reanalysis RMSV000000355.5834 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, CBWD2 [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/f1f47mkk
title: A GBIF endangered species diversity analysis of burn sites in the Southwestern, USA

description: The purpose of this dataset is to evaluate the impact of fires on endangered species biodiversity in California's southwest desert. Species data was downloaded from the Global Diversity Information Facility (GBIF). Wildland fires were downloaded from the National Interagency Fire Network
DOI: 10.25345/c5t14tx4s
title: MassIVE Reanalysis RMSV000000355.6221 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, TMEM159 [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/c5t14tx58
title: MassIVE Reanalysis RMSV000000355.6430 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, ZNF154 [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/f1fb51c5
title: Streambank Erodibility, Soil Physical Properties and Environmental Conditions for Streams within the North Carolina Piedmont Region

description: The dataset contains streambank erodibility parameters measured in-situ with the Jet Erosion Test with corresponding soil physical properties and environmental conditions for 27 streambanks distributed across 11 streams within the North Carolina Piedmont Region. Site explanatory variables include date, county, watershed, latitude, longitude, cross section id and JET number. The erodibility parameters consist of the critical boundary shear stress and the coefficient of erodibility. The soil physical properties include median grain size, coefficient of uniformity, coefficient of curvature, geometric standard deviation, percent passing the #200 sieve, percent clay, percent sand, and bulk density The environmental conditions include soil temperature, electrical conductivity, soil moisture content and water temperature. The purpose of this data is to highlight the variability of streambank erodibility parameters relative to soil physical properties and changing environmental conditions.
DOI: 10.25345/c5t14tx6r
title: MassIVE Reanalysis RMSV000000355.6608 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, DHX40 [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/c5t14tx77
title: MassIVE Reanalysis RMSV000000355.6817 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, C2orf64 [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/c5t14tx8q
title: MassIVE Reanalysis RMSV000000355.7208 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, IFITM3 [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/f1ft8jh4
title: Limnological data and depth profile from Oneida Lake, New York, 1975 to present

description: This dataset contains limnological data from 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://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 datasets from Oneida Lake from 1957 to the present. This data package includes four tables: (1) location and attributes of sampling stations, (2) Depth profiles for temperature, pH, dissolved oxygen, conductivity and from 2011 chlorophyll, (3) average water column data for each station sampled, and (4) average weekly water column data.
DOI: 10.25345/c5t14tx96
title: MassIVE Reanalysis RMSV000000355.7597 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, RPL7L1 [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/f1fx77w0
title: Data from: Wildlife whodunnit: forensic identification of predators to inform wildlife management and conservation, collected in northern, Washington, USA from 2017-2021

description: Genetic evidence at predation mortality sites is rapidly improving predator-prey interaction studies and can provide information beyond field-based investigations alone. However, factors contributing to the retention of genetic evidence have received limited investigation in a field setting, and researchers have yet to leverage genetic evidence to improve traditional field investigations. Using data from 61 mortality investigations of mule deer (Odocoileus hemionus), white-tailed deer (O. virginianus), and elk (Cervus canadensis), we evaluated factors influencing predator DNA amplification success and misidentification of predators in field investigations. We found that predator DNA was detected more for prey with higher body mass (18.5% increase per standard deviation [23.1 kg] in carcass body mass above the mean [32.8 kg]). Predator DNA was also 27.0% more likely to amplify when collected from kill sites that had not undergone a freeze-thaw cycle between the mortality and the investigation. The delay between the kill and the investigation, the swabbing surface, and the amount of precipitation did not influence amplification of predator DNA. Misidentifications of the predator based on the field ID were not influenced by the investigation delay or investigator confidence level, suggesting that investigators should collect genetic evidence even when they feel certain about the predator. Errors in identifying the predator during the field investigation increased for prey with smaller body mass, and the predator was actually more likely to be misidentified than correctly identified for fawns and calves &lt;~21 kg. Black bears (Ursus americanus), bobcats (Lynx rufus), cougars (Puma concolor), coyotes (Canis latrans), and wolves (Canis lupus) were equally likely to be missed in a field investigation, but bobcats tended to be falsely assigned more than expected and cougars were falsely assigned as the predator less than expected. Using genetic evidence as validation, we showed how patterns of predation and the field signs left by predators differed for some species depending on the size of the prey. Our findings should help researchers and managers to optimize their use of genetics to enhance field investigations.
DOI: 10.25345/c5t14tz09
title: MassIVE Reanalysis RMSV000000355.7981 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, CLEC12B [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/c5t14tz1s
title: MassIVE Reanalysis RMSV000000355.8370 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, AGBL4 [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/f1g44nrd
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/c5t14tz28
title: MassIVE Reanalysis RMSV000000355.8578 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, CD8B [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/c5t14tz3r
title: MassIVE Reanalysis RMSV000000355.8757 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, UHRF2 [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/f1g73c4p
title: Channel geomorphology cross sectional surveys, pre/post high-flow release, lower Dolores River, 2017

description: Cross sectional elevation data for Dolores River long term monitoring sites was collected before and after high flow releases to understand changes in channel hydraulic geometries associated with these flows. Colorado Parks and Wildlife (CPW) conducted geomorphic monitoring associated with managed releases from McPhee Reservoir in 2017. CPW and partners in the Dolores River Native Fish Monitoring & Recommendation Team (M&R Team) sought to assess impacts of release flow targets identified in the 2014 Lower Dolores River Implementation Monitoring and Evaluation Plan. Target flows in the plan include flushing flows--fine sediment scouring, flushing flows--d50 mobilization, habitat maintenance flows--bankfull, and habitat maintenance flows--overbanking/floodplain access. Cross sectional surveys and pre/post release photopoints documented effects of flow magnitude and duration on channel geometries. Evidence of scouring and evacuation of sediment within the channel and re-deposition onto the floodplain was present at multiple sites, as well as scouring and evacuation of material within pools. Little bank erosion occurred at 4 of 5 sites, suggesting the river is stabilizing within a narrower channel.
DOI: 10.25345/c5t14tz47
title: MassIVE Reanalysis RMSV000000568.2 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of MSV000080067/PXD003615 [1 out of 1] [launched by 31fc25a7c92347c2b9f58f8f26be259f]
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/f1gm85rz
title: Development of an Inactivated Vaccine from Attenuated Camelpox Virus Strain: Safety and Protection in Camels

description: This article describes the technology of preparing an inactivated vaccine from an attenuated strain of camelpox. The attenuated camelpox virus (CMLV) was grown in lamb kidney cells and in Vero cells. CMLV was accumulated to a significantly higher (p≤0.05) titer in lamb kidney cells (7.75±0.08 log TCID50/ml) than in Vero cells (4.00±0.14 log TCID50/ml). During virus inactivation, a concentration of 0.05% beta-propiolactone (BPL) completely inactivated the virus in 6 h at a temperature of 22 ± 1 °C, while a concentration of 0.2% formaldehyde inactivated the virus in 8 h. However, a viral antigen inactivated by BPL was used for vaccine preparation. The inactivated viral antigen was adsorbed with aluminum hydroxide gel, and as a result, an inactivated candidate vaccine was prepared. While the safety of the candidate vaccine was tested in camels and white mice, the protective efficacy of the vaccine was only tested in camels. In the safety evaluation of the inactivated vaccine, the vaccine did not cause any adverse effects in mice and camels. During the immunogenicity study in camels, antibody formation started (0.2 ± 0.16 log2) from the 21st day post-vaccination (DPV), the antibody titer peaked (1.33 ± 0.21 log2) at the 60th DPV and decreased at the 90th DPV (0.50 ± 0.22 log2). Furthermore, no antibodies were detected in vaccinated camels from 180 to 365 DPV. Vaccinated camels challenged with wild-type virus remained healthy even though they did not have antibodies, whereas at that time, unvaccinated camels were affected by camel pox during the challenge.
DOI: 10.25345/c5t14tz5q
title: MassIVE Reanalysis RMSV000000675.53 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of MSV000090571 Chemical phosphoproteomics reveals kinase network topologies associated to genotypes and phenotypes of cancer cells [Cohort: MCF7_Dasatinib] [launched by 31fc25a7c92347c2b9f58f8f26be259f]
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/c5t14tz66
title: MassIVE Reanalysis RMSV000000618.29 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of MSV000081649/PXD006833 [13 out of 19] [launched by 31fc25a7c92347c2b9f58f8f26be259f]
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/f1gt5knh
title: Global Ocean Health Index 2022 assessment

description: Scores from the 2022 global Ocean Health Index (OHI) assessment and accompanying data and models. The global Ocean Health Index assesses ocean health for 220 coastal countries and territories and has been conducted yearly since 2012. The Index describes how well we are sustainably managing 10 goals which represent the full suite of benefits that people want and need from the ocean. These goals include: artisanal fishing opportunity, biodiversity, carbon storage, clean waters, coastal livelihoods and economies, coastal protection, food provision, natural products, sense of place, and tourism and recreation. Each goal is given a score ranging from 0 to 100, and the full suite of goal scores are then averaged to obtain an overall index score for each region. Please see http://oceanhealthindex.org/ for additional resources and information.
DOI: 10.25345/c5t14tz7p
title: MassIVE Reanalysis RMSV000000366.90 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of MSV000086387 A Quantitative Proteome Map of the Human Body, TMT10 MS3 [Mixture: 49] [launched by 31fc25a7c92347c2b9f58f8f26be259f]
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.