cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.12043173
title: Main Dataset: Harbour Seal DNA Diet Data

description: This is the primary dataset that contains scat sample composition data for 4,625 harbor seal scats. Field names and descriptions are outlined in Table 1 of the Data Descriptor. Multiple entries exist for each sample ID, with each entry representing an identified prey species and its proportional composition within the sample. Notes for Harbour_Seal_DNA_Diet_Data.csv: The sample ID nomenclature varied between projects and we present here the IDs used by the respective projects and institutions. This presentation allows for links to drawn to other parallel projects or datasets using the common sample IDs. Similarly, the collection location names were assigned by the separate projects and do not necessarily represent specific cartographic locations. Therefore, the Latitude and Longitude are provided in decimal degree format for each sampling location. Database duplicates: When the prey ID sequence in the database was a perfect match for another prey species sequence, both prey IDs are provided separated by “OR” in the entry. For example, “Copper_OR _ Quillback_OR _China_Rockfish”. The same approach was used for the taxonomic names of the prey species. DNA_diet_percent is the product of the RRA calculation for each prey species and can be used as an index of proportional prey consumption (see methods).
DOI: 10.6084/m9.figshare.12043176.v1
title: Harbour Seal Prey Database

description: This harbour seal prey reference sequence database is a product of the iterative process of adding prey sequences based on the representative sequences of clustered MiSeq data from each successive scat sequencing run. The database started by searching Genbank for 16S sequences using a list of local fish species, and then the clustering processes for each sequencing run added additional species or haplotypes to the database over time.
DOI: 10.6084/m9.figshare.12043173.v1
title: Main Dataset: Harbour Seal DNA Diet Data

description: This is the primary dataset that contains scat sample composition data for 4,625 harbor seal scats. Field names and descriptions are outlined in Table 1 of the Data Descriptor. Multiple entries exist for each sample ID, with each entry representing an identified prey species and its proportional composition within the sample. Notes for Harbour_Seal_DNA_Diet_Data.csv: The sample ID nomenclature varied between projects and we present here the IDs used by the respective projects and institutions. This presentation allows for links to drawn to other parallel projects or datasets using the common sample IDs. Similarly, the collection location names were assigned by the separate projects and do not necessarily represent specific cartographic locations. Therefore, the Latitude and Longitude are provided in decimal degree format for each sampling location. Database duplicates: When the prey ID sequence in the database was a perfect match for another prey species sequence, both prey IDs are provided separated by “OR” in the entry. For example, “Copper_OR _ Quillback_OR _China_Rockfish”. The same approach was used for the taxonomic names of the prey species. DNA_diet_percent is the product of the RRA calculation for each prey species and can be used as an index of proportional prey consumption (see methods).
DOI: 10.6084/m9.figshare.12126972
title: QIIME Mapping Files

description: A tar archive of the QIIME mapping files (.txt) needed for demultiplexing the .fastq files in the NCBI database (Table 2). The mapping file names in the tar archive match those of the associated .fastq files. Each mapping file contains the F and R primer sequences along with the unique primer tag for each of the 96 scat samples listed in the sequencing plate.
DOI: 10.6084/m9.figshare.16606634
title: Harbour Seal Hardparts Diet Data

description: These are the results of the morphological prey hard parts ID of collected scat samples, with corresponding sample IDs to those in Harbour_Seal_DNA_Diet_Data.csv (Fig. 3). These data can be used to make direct comparisons between the traditional seal diet analysis technique (prey hard parts analysis) and the newly developed diet characterization method (DNA metabarcoding diet analysis). Notes for Harbour_Seal_Hardparts_Diet_Data.csv: The .csv file contains data in five fields: 1. Sample ID – the scat sample ID that corresponds to “sample ID” in the DNA dataset. 2. Prey Species – the prey species scientific name. 3. Salmon classification – Binary age classification for salmon structures as noted by the analyst. 4. Sample comments – Additional comments about the specific prey hard structure. 5. Analyst – The name of the prey hard parts identification analyst. Because the prey hard parts analysis was conducted by three different analysts without an existing standardization protocol, the reported results varied slightly throughout the dataset. Here we attempted to preserve as much of information provided by the analyst as possible in the “Sample comments” field. Further, given the intense interest in salmon predation by harbour seals and the large magnitude differences in consumption estimates depending on prey life stage, we have included the binary salmon age classification (Juvenile, Adult). We should acknowledge however that seals consume salmon prey in a wide range of age/size classes, and this binary scheme is an oversimplification.
DOI: 10.6084/m9.figshare.16606634.v1
title: Harbour Seal Hardparts Diet Data

description: These are the results of the morphological prey hard parts ID of collected scat samples, with corresponding sample IDs to those in Harbour_Seal_DNA_Diet_Data.csv (Fig. 3). These data can be used to make direct comparisons between the traditional seal diet analysis technique (prey hard parts analysis) and the newly developed diet characterization method (DNA metabarcoding diet analysis). Notes for Harbour_Seal_Hardparts_Diet_Data.csv: The .csv file contains data in five fields: 1. Sample ID – the scat sample ID that corresponds to “sample ID” in the DNA dataset. 2. Prey Species – the prey species scientific name. 3. Salmon classification – Binary age classification for salmon structures as noted by the analyst. 4. Sample comments – Additional comments about the specific prey hard structure. 5. Analyst – The name of the prey hard parts identification analyst. Because the prey hard parts analysis was conducted by three different analysts without an existing standardization protocol, the reported results varied slightly throughout the dataset. Here we attempted to preserve as much of information provided by the analyst as possible in the “Sample comments” field. Further, given the intense interest in salmon predation by harbour seals and the large magnitude differences in consumption estimates depending on prey life stage, we have included the binary salmon age classification (Juvenile, Adult). We should acknowledge however that seals consume salmon prey in a wide range of age/size classes, and this binary scheme is an oversimplification.
DOI: 10.6084/m9.figshare.16606637
title: Example Bioinformatic Files

description: The bioinformatic code used to process scat DNA sequences and example data. See Readme file.
DOI: 10.6084/m9.figshare.16606637.v1
title: Example Bioinformatic Files

description: The bioinformatic code used to process scat DNA sequences and example data. See Readme file.
DOI: 10.6084/m9.figshare.12043176
title: Harbour Seal Prey Database

description: This harbour seal prey reference sequence database is a product of the iterative process of adding prey sequences based on the representative sequences of clustered MiSeq data from each successive scat sequencing run. The database started by searching Genbank for 16S sequences using a list of local fish species, and then the clustering processes for each sequencing run added additional species or haplotypes to the database over time.
DOI: 10.6084/m9.figshare.12043179
title: Prey Species Distance Matrix

description: This distance matrix was used to determine when the reference sequences of two prey species in the database were identical. Both prey species names are given in the Prey_ID field of the diet dataset in those occurrences.
DOI: 10.6084/m9.figshare.12043179.v1
title: Prey Species Distance Matrix

description: This distance matrix was used to determine when the reference sequences of two prey species in the database were identical. Both prey species names are given in the Prey_ID field of the diet dataset in those occurrences.
DOI: 10.25345/c5zp3w16b
title: MassIVE Reanalysis RMSV000000354.4421 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, SSBP2 [launched by fce971e5ede541cca3fc5307a73294d8]
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/c5v11vm4b
title: MassIVE Reanalysis RMSV000000354.4423 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, PPP2R3A [launched by fce971e5ede541cca3fc5307a73294d8]
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/c5q814t12
title: MassIVE MSV000088891 - GM(+)-21M032 universidad de los Andes
title: analisis de compuestos de licor de cacao, en diferentes procesos de fermentacion, secado y tostion
DOI: 10.25345/c5kh0f067
title: MassIVE Reanalysis RMSV000000354.4424 - CCMS MassIVE Knowledge Base (MassIVE-KB) MS-GF+ reanalysis of Bioplex AP-MS Dataset for Library Construction, LEF1 [launched by fce971e5ede541cca3fc5307a73294d8]
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: 10.5523/bris.20z3vcllgiwg32c9te5a23xknu
title: Data for Thomas et al - Interactions between color and specularity

description: Data to accompany the paper Thomas et al., Interactions between color and specularity in iridescent camouflage.
DOI: 10.34740/kaggle/dsv/3217018
title: Covid-19 in Singapore : Latest Detailed Data
DOI: 10.5281/zenodo.6227314
title: msd-errors - Data for AgCrSe2 figures

description: Data for the figures Results of the analysis of AgCrSe2 systems by kinisi at a series of temperatures.<br><br>Created using showyourwork from this GitHub repo.<br>
DOI: 10.5281/zenodo.6160793
title: Dataset of synergistically retrieved water vapor from SPICAM and PFS nadir observations

description: Compilation of processed data files used for the creation of the figures presented in the manuscript "Constraining near-surface water vapor on Mars: a spectral synergy climatological survey applied to PFS and SPICAM nadir observations".
DOI: 10.5281/zenodo.6160792
title: Dataset of synergistically retrieved water vapor from SPICAM and PFS nadir observations

description: Compilation of processed data files used for the creation of the figures presented in the manuscript "Constraining near-surface water vapor on Mars: a spectral synergy climatological survey applied to PFS and SPICAM nadir observations".
DOI: 10.5281/zenodo.5946878
title: Supplementary Material of the paper entitled "Governing Digital Twin technology on smart and sustainable tourism"

description: In this document, we provide some supplementary material of the paper entitled “Governing Digital Twin technology on smart and sustainable tourism’’. Rahmadian, E., Feitosa, D., Zwitter, A. (2022). Governing Digital Twin technology on smart and sustainable tourism.
DOI: 10.5281/zenodo.5946877
title: Supplementary Material of the paper entitled "Governing Digital Twin technology on smart and sustainable tourism"

description: In this document, we provide some supplementary material of the paper entitled “Governing Digital Twin technology on smart and sustainable tourism’’. Rahmadian, E., Feitosa, D., Zwitter, A. (2022). Governing Digital Twin technology on smart and sustainable tourism.
DOI: 10.6084/m9.figshare.13507407.v1
title: Physical and chemical interactions between coeval ‎magmas: a case study of mixing and mingling from the ‎Urumieh plutonic complex, NW Iran

description: Field observations, whole-rock geochemistry, mineral chemistry and zircon U-Pb dating results from microgranular mafic enclaves and their host syenite, Urumieh plutonic complex, NW Iran, show that the enclaves and host are coeval, genetically related and evolved by synchronous magma mixing–fractionation. Geochemically all belong to the shoshonitic series and probably originated from the same enriched subcontinental mantle-derived magma in a subduction setting. SHRIMPU-Pb dating of zircon from representative samples of host rocks and enclaves yields mutually indistinguishable late Cretaceous crystallization ages, 90.7±1.3 and 91.3±1.1 Ma (host syenite), and 90.2±0.7 and 91.6±0.7 Ma (enclaves). Pressure and temperature estimates from Al-in-amphibole and amphibole-plagioclase pairs from both host and enclaves suggest that the interacting magmas mixed and crystallized under similar P-T ‎conditions at middle crustal levels (average 662–716°C and 2.2–2.8 kbar). The occurrence of hybrid to mafic enclaves along with disrupted mafic dikes indicates a long-lived mafic source with ‎multiple replenishments throughout the crystallization history of the complex, and large variability in viscosity within the magmatic system. The transition from mixing to mingling depends on the different crystalline states of the interacting magmas, especially the host magma, which strongly influence rheological properties. In the liquid-liquid state, mixing ‎typically will continue until complete hybridization. With increasing polymerization and crystal load in the host magma, magmatic relationships change progressively from chemical mixing to more mechanical mixing (mingling), producing distributed mafic enclaves, then disrupted mafic dikes, then syn-plutonic mafic dikes as a continuum given sufficient time.
DOI: 10.6084/m9.figshare.13507411
title: Why are there no Cu-porphyry deposits in Jurassic Sanandaj-Sirjan zone intrusions of Iran?

description: Granitoid intrusions of Zagros orogenic and metallogenic belt were mainly emplaced during the Jurassic-Cretaceous and Upper Eocene – Pliocene along the Sanandaj-Sirjan Zone (SaSZ) and Urumieh-Dokhtar magmatic Arc (UDMA), respectively. The present work tried to answer the question of whether or not there are fundamental differences in magmatic systems of Mesozoic versus Cenozoic intrusions of Zagros orogen resulting in the lack of porphyry mineralization in SaSZ compared with the widespread occurrence of porphyry-bearing intrusions in the UDMA. Characterizing the geochemical features of six major granitoid intrusions in the SaSZ (Alvand, Almogholagh, Aligoodarz, Boroujerd, Dehno, and Kolah-Ghazi) show they mostly represent low to high-K calc-alkaline and peraluminous magmatic suite, which is analogous to those reported previously for the UDMA porphyry Cu intrusions. However, the SaSZ intrusions are characterized by extremely low Sr/Y contents, distinct negative Eu anomalies, and less fractioned HREE patterns with OIB signature in the less fractionated samples indicating a source dominated by melting of subcontinental lithosphere mantle. This study proposed that the inception of Cenozoic flat slab subduction followed by dehydration melting of ~ 29 Ma of metasomatized subcontinental lithospheric mantle (SCLM) during the continuous stages of continental-continental collision has a decisive role in magmatic change to a more hydrous and oxidized nature. These processes provided unique conditions for increasing metal fertility of these Miocene intrusions compared to those of older Mesozoic igneous activities in the Zagros orogenic and associated metallogenic belt.
DOI: 10.6084/m9.figshare.13507411.v1
title: Why are there no Cu-porphyry deposits in Jurassic Sanandaj-Sirjan zone intrusions of Iran?

description: Granitoid intrusions of Zagros orogenic and metallogenic belt were mainly emplaced during the Jurassic-Cretaceous and Upper Eocene – Pliocene along the Sanandaj-Sirjan Zone (SaSZ) and Urumieh-Dokhtar magmatic Arc (UDMA), respectively. The present work tried to answer the question of whether or not there are fundamental differences in magmatic systems of Mesozoic versus Cenozoic intrusions of Zagros orogen resulting in the lack of porphyry mineralization in SaSZ compared with the widespread occurrence of porphyry-bearing intrusions in the UDMA. Characterizing the geochemical features of six major granitoid intrusions in the SaSZ (Alvand, Almogholagh, Aligoodarz, Boroujerd, Dehno, and Kolah-Ghazi) show they mostly represent low to high-K calc-alkaline and peraluminous magmatic suite, which is analogous to those reported previously for the UDMA porphyry Cu intrusions. However, the SaSZ intrusions are characterized by extremely low Sr/Y contents, distinct negative Eu anomalies, and less fractioned HREE patterns with OIB signature in the less fractionated samples indicating a source dominated by melting of subcontinental lithosphere mantle. This study proposed that the inception of Cenozoic flat slab subduction followed by dehydration melting of ~ 29 Ma of metasomatized subcontinental lithospheric mantle (SCLM) during the continuous stages of continental-continental collision has a decisive role in magmatic change to a more hydrous and oxidized nature. These processes provided unique conditions for increasing metal fertility of these Miocene intrusions compared to those of older Mesozoic igneous activities in the Zagros orogenic and associated metallogenic belt.
DOI: 10.6084/m9.figshare.13499339
title: Subduction-related metasomatism in the lithospheric mantle beneath the Calatrava volcanic field (central Spain): constraints from lherzolite xenoliths of the Cerro Gordo volcano

description: Two types of lherzolite xenoliths appear in the Cerro Gordo maar from the Cenozoic Calatrava volcanic field. Hydrous lherzolites (group-1) show a major proportion of metasomatic amphibole (&gt;5 modal%), whereas group-2 lherzolites have only accessory amounts or an absence of amphibole. Group-1 lherzolites show a higher LREE-Ba-Sr-Th content in whole-rock composition compared to group-2 lherzolites. The most depleted group-2 lherzolite xenoliths indicate a low degree of partial melting (&lt;5%) of the mantle source, similarly to other Calatrava xenolith suites. Trace element content combined with Sr-Nd isotopic ratios suggests a protolith mantle source with the characteristics of a depleted MORB Mantle (DMM type). This mantle protolith was later refertilized by subduction-related metasomatism, causing the formation of modal amphibole and obliterating the original MORB-like chemical features in the most transformed xenoliths (group-1 lherzolites). The entrainment of these mantle fragments in the volcanic alkaline magma promoted amphibole breakdown reactions during its transport, generating silica-rich glasses with the associated unusual formation of secondary orthopyroxene. The suprasubduction character of the protolithic mantle combined with previously published Re-Os model ages in nearby lherzolite xenoliths suggests that the sampled lherzolites could represent the old Cadomian mantle wedge of the Central Iberian zone.
DOI: 10.6084/m9.figshare.13507407
title: Physical and chemical interactions between coeval ‎magmas: a case study of mixing and mingling from the ‎Urumieh plutonic complex, NW Iran

description: Field observations, whole-rock geochemistry, mineral chemistry and zircon U-Pb dating results from microgranular mafic enclaves and their host syenite, Urumieh plutonic complex, NW Iran, show that the enclaves and host are coeval, genetically related and evolved by synchronous magma mixing–fractionation. Geochemically all belong to the shoshonitic series and probably originated from the same enriched subcontinental mantle-derived magma in a subduction setting. SHRIMPU-Pb dating of zircon from representative samples of host rocks and enclaves yields mutually indistinguishable late Cretaceous crystallization ages, 90.7±1.3 and 91.3±1.1 Ma (host syenite), and 90.2±0.7 and 91.6±0.7 Ma (enclaves). Pressure and temperature estimates from Al-in-amphibole and amphibole-plagioclase pairs from both host and enclaves suggest that the interacting magmas mixed and crystallized under similar P-T ‎conditions at middle crustal levels (average 662–716°C and 2.2–2.8 kbar). The occurrence of hybrid to mafic enclaves along with disrupted mafic dikes indicates a long-lived mafic source with ‎multiple replenishments throughout the crystallization history of the complex, and large variability in viscosity within the magmatic system. The transition from mixing to mingling depends on the different crystalline states of the interacting magmas, especially the host magma, which strongly influence rheological properties. In the liquid-liquid state, mixing ‎typically will continue until complete hybridization. With increasing polymerization and crystal load in the host magma, magmatic relationships change progressively from chemical mixing to more mechanical mixing (mingling), producing distributed mafic enclaves, then disrupted mafic dikes, then syn-plutonic mafic dikes as a continuum given sufficient time.