cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25345/c5mp4vz69
title: MassIVE MSV000093440 - Impact of Charge State on Characterization of Large Middle-Down Sized Peptides by Tandem Mass Spectrometry
title: Fragmentation trends of large peptides were characterized by five activation methods, including HCD, ETD, EThcD, 213 nm UVPD and 193 nm UVPD. Sequence coverages and scores were assessed based on charge site, peptide sequence and peptide size. Results from four model peptides, neuromedin, glucagon, galanin and amyloid B, showed a charge state dependence on sequence coverage for collision and electron-based activation methods. The effect of charge state and peptide size on sequence coverage was also explored for a Glu-C digest of E. coli ribosomal proteins, resulting in a maximum sequence coverage between 2-6 kDa depending on the activation method.
DOI: 10.34740/kaggle/dsv/7013768
title: Top Spotify Songs in 73 Countries (Daily Updated)
DOI: 10.5281/zenodo.10095583
title: Seamounts_Oasis_New_Caledonia_eDNA

description: This dataset contains eDNA MOTUs for 192 water samples collected in seamounts, continental slopes and coral reefs of New-Caledonia in 2019 and 2020. The data were collected under permits to Laurent Vigliola by the Government of New-Caledonia (permit N° 2019-733/GNC, 2020-503/GNC and 2020-1077/GNC), the Southern Province of New Caledonia (permit N° 898-2019/ARR/DENV, 3066-2019/ARR/DENV, 844-2020/ARR/DDDT and 1955-2020/ARR/DDDT) and the Northern Province of New Caledonia (permit N° 609011/2019/DEPART/JJC , 609011-18/2019/DEPART/JJC and 609011-39/2020/DEPART/JJC). Collection was performed during the SEAMOUNTS and REEF3.0 projects led by Laurent Vigliola. The data contains the outputs of the bioinformatic process as described in Baletaud et al. 2023. The metadata contains information on the sampling filters, sampling locations and associated environmental variables.
DOI: 10.5281/zenodo.10095584
title: Seamounts_Oasis_New_Caledonia_eDNA

description: This dataset contains eDNA MOTUs for 192 water samples collected in seamounts, continental slopes and coral reefs of New-Caledonia in 2019 and 2020. The data were collected under permits to Laurent Vigliola by the Government of New-Caledonia (permit N° 2019-733/GNC, 2020-503/GNC and 2020-1077/GNC), the Southern Province of New Caledonia (permit N° 898-2019/ARR/DENV, 3066-2019/ARR/DENV, 844-2020/ARR/DDDT and 1955-2020/ARR/DDDT) and the Northern Province of New Caledonia (permit N° 609011/2019/DEPART/JJC , 609011-18/2019/DEPART/JJC and 609011-39/2020/DEPART/JJC). Collection was performed during the SEAMOUNTS and REEF3.0 projects led by Laurent Vigliola. The data contains the outputs of the bioinformatic process as described in Baletaud et al. 2023. The metadata contains information on the sampling filters, sampling locations and associated environmental variables.
DOI: 10.5281/zenodo.10162134
title: Optimizing Production and Storage: Carlsberg's Injection-Molding Operations

description: The research paper investigates the optimization of production and storage for a custom molder, using a dataset that includes production times, weekly production hours, stockroom capacity, storage space per case, contribution per case, and customer limits for different types of glass produced using specific dies. The paper aims to determine the optimal production quantities for each type of glass to maximize the total contribution, taking into account production constraints and customer demand.
DOI: 10.5281/zenodo.10162135
title: Optimizing Production and Storage: Carlsberg's Injection-Molding Operations

description: The research paper investigates the optimization of production and storage for a custom molder, using a dataset that includes production times, weekly production hours, stockroom capacity, storage space per case, contribution per case, and customer limits for different types of glass produced using specific dies. The paper aims to determine the optimal production quantities for each type of glass to maximize the total contribution, taking into account production constraints and customer demand.
DOI: 10.5281/zenodo.10162274
title: Optimizing Production and Storage: Carlsberg's Injection-Molding Operations

description: The research paper investigates the optimization of production and storage for a custom molder, using a dataset that includes production times, weekly production hours, stockroom capacity, storage space per case, contribution per case, and customer limits for different types of glass produced using specific dies. The paper aims to determine the optimal production quantities for each type of glass to maximize the total contribution, taking into account production constraints and customer demand.
DOI: 10.34740/kaggle/dsv/7013774
title: Trending Youtube Video Statistics (113 Countries)
DOI: 10.17596/0002163
title: JAMSTEC OBS Web for Passive Survey

description: JAMSTEC OBS Web for Passive Survey (OBS Web) hosts a subset of data available at JAMSTEC Seismic Survey Database. OBS Web consists of seismic data from ocean bottom seismographs installed temporarily for passive survey while all active and passive seismic survey data can be requested through JAMSTEC Seismic Survey Database.
DOI: 10.17596/0002162
title: WHP I08N REVISIT/I07S IN 2019/2020 DATA BOOK

description: WHP I08N REVISIT/I07S IN 2019/2020 DATA BOOK
DOI: 10.17596/0001983
title: The latest batch-to-batch correction table for IAPSO Standard Seawater

description: The latest batch-to-batch correction table is used to correct salinity data measured by a salinometer calibrated by IAPSO Standard Seawater.
DOI: 10.17596/0000109
title: Supplementary data for Nakamura et al. (2017)

description: Supplementary data for Nakamura et al. (2017) https://doi.org/10.3800/pbr.12.95
DOI: 10.17596/0002095
title: Sekinehama port carbon time-series data

description: Carbon Time-series data obtained from bucket sampling weekly and sensor observation hourly at Sekinehama Port on the Mutsu Institute for Oceanography.
DOI: 10.17596/0002071
title: Cloud coverage in snapshot camera images

description: We have proposed a deep convolution neural network (CNN) approach for the accurate estimation of the cloud coverage (CC) from images captured by a consumer camera, i.e., snapshot pictures. The results have shown that the present CNN has the potential to allow consumer cameras to be used as remote weather sensors. (see the journal paper: https://doi.org/10.2151/sola.2017-043) Here we publish the dataset used for the training and evaluation of the proposed CNN. The dataset consists of camera images and their cloud coverages (integer values ranging from 0 to 10), which were labeled by human labelers. As described in the above-mentioned paper, most of the camera images were collected from the Flickr website, and some of their copyrights are not clear. Therefore, the image data themselves are not included in the dataset, and they should be downloaded from the internet. Please read the documents for how to download the image data. If you use this dataset, please read "Use Constraints" shown at "Detail info." mode.
DOI: 10.17592/001.2023112002
title: Digital elevation models constructed from JARE aerial photographs

description: This is a dataset for the digital elevation models constructed from aerial photographs of LKI(Lake Kaminotani-Ike; 69.495 degree S, 39.7579 degreeE).
DOI: 10.17596/0000105
title: MIxed Layer data set of Argo, Grid Point Value
DOI: 10.17596/0000033
title: WHP P01, P14 REVISIT DATA BOOK
DOI: 10.17592/001.2023112001
title: Digital elevation models constructed from JARE aerial photographs

description: This is a dataset forthe dataset for timeseries of surface elevation and volume of LKI(Lake Kaminotani-Ike).
DOI: 10.17596/0003669
title: KH-15-10PC10dataSet

description: Paleomagnetic data (KH1502PC10_NRM.xlsx), density and anisotropy of magnetic susceptibility data (KH1502PC10_DensityandMagSUS.xlsx), vane shear data (KH1502PC10VaneShare.xlsx) , X-CT data（included in folders of Kh152_Pc10Sec2, Kh152_Pc10Sec3, Kh152_Pc10Sec4, Kh152_Pc10Sec5, Kh152_Pc10Sec6）for piston core samples KH-15-2 PC10 collected in the Kumano-nada Nankai Trough and segy format files (SBP_20150913_149_1_1.sgy) collected by DW-106 EdgeTech during KH-15-2 Leg3 cruise.
DOI: 10.17596/0001985
title: Chikyu Add-on Program: A microplastic monitoring using D/V CHIKYU

description: Microplastics were collected from the Chikyu's on-board seawater pump outlet during the IODP Exp. 358.
DOI: 10.17596/0001984
title: Chikyu Add-on Program:Simultaneous observation from seafloor to atmosphere by using "Chikyu" & DONET

description: Meteorological and Oceanographical observation on Chikyu during the Expedition 358 around Nankai Trough
DOI: 10.17596/0001982
title: Image vouchers for gelatinous macrozooplankton morphotaxa observed inside and outside the Sumisu Caldera in March 2002

description: Image vouchers for gelatinous macrozooplankton morphotaxa observed outside the Sumisu Caldera on 9 March 2002, and inside the Sumisu Caldera on 10 March 2002. File name consists of the following elements. submersible name (HPD= Hyper-Dolphin), dive number, date (YYYYMMDD), local time (time of the first appearance of a target in frame as HHMMSS), camera type, camera position, resolution_media type, media reel number, start timecode to end timecode/captured frame timecode, presence/absence of text overlay, taxon name, taxonomist/person responsible for species ID, common Japanese name, co-occurring species ID (if applicable), co-occurring species common Japanese name, and comments for the image, with all fields separated by hyphens.
DOI: 10.17596/0000108
title: Pukia ohtsukai type specimens information

description: Videos of Pukia ohtsukai (JAMSTEC No. 1160052403) . The original species description authority is Lindsay (2017) https://doi.org/10.3800/pbr.12.61 .
DOI: 10.6084/m9.figshare.24596202
title: Using community science to map western monarch butterflies (<i>Danaus plexippus</i>) in spring

description: This dataset contains user-submitted observations of monarch butterflies in the western United States (primarily California north of Santa Barbara) between February 14 and April 22 2020-2023. Observations were aggregated from iNaturalist, the Western Monarch Milkweed Mapper, and email submissions.<br><br>The purpose of this study was to increase available data of monarch occurrences during this time period and gather information on potential breeding and habitat use during the first part of the spring migration.
DOI: 10.6084/m9.figshare.24596202.v1
title: Using community science to map western monarch butterflies (<i>Danaus plexippus</i>) in spring

description: This dataset contains user-submitted observations of monarch butterflies in the western United States (primarily California north of Santa Barbara) between February 14 and April 22 2020-2023. Observations were aggregated from iNaturalist, the Western Monarch Milkweed Mapper, and email submissions.<br><br>The purpose of this study was to increase available data of monarch occurrences during this time period and gather information on potential breeding and habitat use during the first part of the spring migration.
DOI: 10.34740/kaggle/dsv/7013793
title: US counties COVID 19 dataset
DOI: 10.5517/ccdc.csd.cc2g2sly
title: CCDC 2266800: Experimental Crystal Structure Determination

description: Related Article: Hanjun Yang, Sagarmoy Mandal, Yoon Ho Lee, Jee Yung Park, Han Zhao, Chongli Yuan, Libai Huang, Ming Chen, Letian Dou|2023|J.Am.Chem.Soc.|145|23963|doi:10.1021/jacs.3c05745
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2g2sq2
title: CCDC 2266804: Experimental Crystal Structure Determination

description: Related Article: Hanjun Yang, Sagarmoy Mandal, Yoon Ho Lee, Jee Yung Park, Han Zhao, Chongli Yuan, Libai Huang, Ming Chen, Letian Dou|2023|J.Am.Chem.Soc.|145|23963|doi:10.1021/jacs.3c05745
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.25919/p8ns-da63
title: ASKAP Project AS110 - The Rapid ASKAP Continuum Survey: a time-domain catalogue at 1367.5 MHz for RACS-mid

description: Auxiliary data products associated with the Stokes I catalogue (Duchesne+2023b) from the Rapid ASKAP Continuum Survey (RACS) at 1367.5 MHz. This collection includes a different version of the catalogue that is produced without additional mosaicking or convolution of the Stokes I images. This catalogue version also retains sources that are detected/measured more than once (i.e. duplicates) such that all entries are for a unique epoch. The intended use of this catalogue is for users who require epoch-specific measurements of sources.
DOI: 10.5281/zenodo.10162307
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Odoardo Beccari, http://www.wikidata.org/entity/Q361037. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q361037
DOI: 10.5281/zenodo.8038879
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Odoardo Beccari, http://www.wikidata.org/entity/Q361037. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q361037
DOI: 10.25921/d3xk-cm17
title: ME70 Water Column Sonar Data Collected During PC2102
DOI: 10.5281/zenodo.10162308
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Alfred Russel Wallace, http://www.wikidata.org/entity/Q160627. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q160627
DOI: 10.5281/zenodo.8050432
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Alfred Russel Wallace, http://www.wikidata.org/entity/Q160627. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q160627
DOI: 10.5281/zenodo.8050433
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Alfred Russel Wallace, http://www.wikidata.org/entity/Q160627. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q160627
DOI: 10.25345/c5c53fb90
title: MassIVE MSV000093442 - GNPS - NISTfecal - KinetexC18 column - pos
title: Fecal NIST reference material, Kinetex C18 50mm*2.1mm, positive. 400 mg fecal extracted in 4 mL of 50% MeOH without beads. Reconstituted in water and 3uL
DOI: 10.5281/zenodo.10162323
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Johann Bubela, http://www.wikidata.org/entity/Q36587384. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q36587384
DOI: 10.5281/zenodo.8122886
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Johann Bubela, http://www.wikidata.org/entity/Q36587384. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q36587384
DOI: 10.5281/zenodo.8122887
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Johann Bubela, http://www.wikidata.org/entity/Q36587384. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q36587384
DOI: 10.5281/zenodo.10162330
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Alwin Aschenborn, http://www.wikidata.org/entity/Q23788270. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q23788270
DOI: 10.5281/zenodo.8303471
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Walter Hoesch, http://www.wikidata.org/entity/Q115267543. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q115267543
DOI: 10.5281/zenodo.8303472
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Walter Hoesch, http://www.wikidata.org/entity/Q115267543. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q115267543
DOI: 10.5281/zenodo.10155769
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Krsto Pejović, http://www.wikidata.org/entity/Q123476798. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q123476798
DOI: 10.5281/zenodo.10155770
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Krsto Pejović, http://www.wikidata.org/entity/Q123476798. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q123476798
DOI: 10.5281/zenodo.10162332
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Krsto Pejović, http://www.wikidata.org/entity/Q123476798. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q123476798
DOI: 10.5281/zenodo.10162331
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Walter Hoesch, http://www.wikidata.org/entity/Q115267543. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q115267543
DOI: 10.3886/icpsr02744.v1
title: Established Populations for Epidemiologic Studies of the Elderly, 1996-1997: Piedmont Health Survey of the Elderly, Fourth In-Person Survey [Durham, Warren, Vance, Granville, and Franklin Counties, North Carolina]
title: Version 1

description: The Piedmont Health Survey of the Elderly is a multiyear study sponsored by the National Institute on Aging as one of the components of the Established Populations for Epidemiologic Studies of the Elderly (EPESE). The goals of the EPESE project were to describe and identify predictors of mortality, hospitalization, and placement in long-term care facilities and to investigate risk factors for chronic diseases and loss of functioning. The original survey, ESTABLISHED POPULATIONS FOR EPIDEMIOLOGIC STUDIES OF THE ELDERLY, 1981-1993: [EAST BOSTON, MASSACHUSETTS, IOWA AND WASHINGTON COUNTIES, IOWA, NEW HAVEN, CONNECTICUT, AND NORTH CENTRAL NORTH CAROLINA] (ICPSR 9915), elicited information from persons 65 years of age and older. Six follow-ups were conducted, and information from death certificates for deaths occurring in the first six years of follow-up for all four sites was also collected. The data included in this release of the EPESE make up the seventh follow-up and the fourth in-person interview for the North Carolina site. This North Carolina cohort, established in a 1986-1987 baseline survey, was a sample of persons 65 or older residing in households in Durham, Warren, Franklin, Granville, and Vance counties in the Central Piedmont area of North Carolina. The North Carolina site was the only EPESE site in the southeastern United States. This site was unique in that the baseline cohort was over 50-percent Black, and the geographic area selected was diverse, allowing both racial and urban/rural comparisons to be made regarding the distribution of certain risk factors and disease. The data cover demographic characteristics (age, sex, race, income, education, marital status, number of children, employment, and religion), height, weight, social and physical functioning, chronic conditions, related health problems, health habits, self-reported use of dental, hospital, and nursing home services, and depression.
description: Four-stage, stratified, probability sample with an oversample of Blacks.
description: Datasets:
description: All noninstitutionalized persons 65 years of age and older (at baseline, 1986-1987) in Durham, Warren, Vance, Granville, and Franklin counties in north central North Carolina.
description: (1) The baseline age distribution for North Carolina was: 65-69 (N = 1,420), 70-74 (N = 1,121), 75-79 (N = 794), 80-84 (N = 505), and 85+ (N = 322), for a total of 4,165. The Seventh Follow-Up age distribution is: 75-79 (N = 722), 80-84 (N = 528), 85+ (N = 516). The Seventh Follow-Up total is 1,766. (2) The codebook, data collection instruments, and EPESE RESOURCE DATA BOOK are provided by ICPSR as a Portable Document Format (PDF) file.