cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25573/data.12168225.v1
title: Dataset for "Gene flow across elevations in Tupaia montana"

description: This dataset contains three files:1. MIGRATEN_InputFile_Phase1.dat. Description: Input file for MIGRATE-N. Contains phased pseudo-haplotype UCE alignments for 20 mountain treeshrews divided into four populations as follows: pop1, high elevation Mt. Kinabalu; pop2, low elevation Mt. Kianbalu; pop3, low elevation Mt. Tambuyukon; pop4, high elevation Mt. Tambuyukon. 2. MIGRATEN_InputFile_Phase2.dat. Description: Input file for MIGRATE-N. Same as above, but in cases where phase was unresolved, there is alternative random phasing of alleles.3. Tmontana36haps.fasta. Description: Fasta format sequences of 36 T. montana mitogenome haplotypes (unaligned)
DOI: 10.5281/zenodo.4018706
title: Distribution of alien tetrapods in the Iberian Peninsula

description: We present a dataset that assembles occurrence records of alien tetrapods (amphibians, reptiles, birds and mammals) in the Iberian Peninsula, a coherent biogeographically unit where introductions of alien species have occurred for millennia. These data have important potential applications for ecological research and management, including the assessment of invasion risks, formulation of preventive and management plans, and research at the biological community level on alien species. This dataset summarizes inventories and data sources on the taxonomy and distribution of alien tetrapods in the Iberia Peninsula, comprising known locations from published literature, expert knowledge and citizen science platforms. An expert-based assessment process allowed the identification of unreliable records (misclassification or natural dispersion from native range), and the classification of species according to their status of reproduction in the wild. Distributional data was harmonized into a common area unit, the 10x10 km Universal Transverse Mercator (UTM) system (n=6,152 cells). The year of observation and/or year of publication were also assigned to the records. In total, we assembled 35,940 unique distribution records (UTM x species x Year) for 253 species (6 amphibians, 16 reptiles, 218 birds and 13 mammals), spanning between 1912 and 2020. The species with highest number of distribution records were the Mediterranean painted frog <em>Discoglossus pictus</em> (n=59 UTM), the pond slider <em>Trachemys scripta </em>(n=471), the common waxbill <em>Estrilda astrild</em> (n=1,275) and the house mouse <em>Mus musculus </em>(n=4,043), for amphibians, reptiles, birds and mammals, respectively. Most alien species recorded are native to Africa (33%), followed by South America (21%), Asia (19%), North America (12%) and Oceania (10%). Thirty-six species are classified by IUCN as threatened in their native range, namely 2 Critically Endangered (CR), 6 Endangered (EN), 8 Vulnerable (VU), and 20 species Near Threatened (NT).
DOI: 10.5281/zenodo.4018705
title: Distribution of alien tetrapods in the Iberian Peninsula

description: We present a dataset that assembles occurrence records of alien tetrapods (amphibians, reptiles, birds and mammals) in the Iberian Peninsula, a coherent biogeographically unit where introductions of alien species have occurred for millennia. These data have important potential applications for ecological research and management, including the assessment of invasion risks, formulation of preventive and management plans, and research at the biological community level on alien species. This dataset summarizes inventories and data sources on the taxonomy and distribution of alien tetrapods in the Iberia Peninsula, comprising known locations from published literature, expert knowledge and citizen science platforms. An expert-based assessment process allowed the identification of unreliable records (misclassification or natural dispersion from native range), and the classification of species according to their status of reproduction in the wild. Distributional data was harmonized into a common area unit, the 10x10 km Universal Transverse Mercator (UTM) system (n=6,152 cells). The year of observation and/or year of publication were also assigned to the records. In total, we assembled 35,940 unique distribution records (UTM x species x Year) for 253 species (6 amphibians, 16 reptiles, 218 birds and 13 mammals), spanning between 1912 and 2020. The species with highest number of distribution records were the Mediterranean painted frog <em>Discoglossus pictus</em> (n=59 UTM), the pond slider <em>Trachemys scripta </em>(n=471), the common waxbill <em>Estrilda astrild</em> (n=1,275) and the house mouse <em>Mus musculus </em>(n=4,043), for amphibians, reptiles, birds and mammals, respectively. Most alien species recorded are native to Africa (33%), followed by South America (21%), Asia (19%), North America (12%) and Oceania (10%). Thirty-six species are classified by IUCN as threatened in their native range, namely 2 Critically Endangered (CR), 6 Endangered (EN), 8 Vulnerable (VU), and 20 species Near Threatened (NT).
DOI: 10.6084/m9.figshare.13296542
title: Produsage1.sav

description: Qualtrics panel survey data on production and consumption of news and information via social media
DOI: 10.6084/m9.figshare.13296542.v1
title: Produsage1.sav

description: Qualtrics panel survey data on production and consumption of news and information via social media
DOI: 10.17909/t9-ja9p-qv91
title: UV spectra for SBS 0909+532 AB

description: UV spectra for SBS 0909+532 AB
DOI: 10.21227/padc-jv06
title: Sensorless FOC W BLDC - Sliding Mode vs Flux Observer

description: In the dataset " " BLDC motor wasIn this dataset, theThis dataset is also in support of my planned research paper " Performance Optimizer " about to be submitted shortly to "IEEE Transactions on Power Electronics".PFC is not included in this simulation as it is assumed that PF = 1.
DOI: 10.21227/9wb3-v171
title: Sensorless FOC 1.8kW BLDC - Sliding Mode vs Flux Observer

description: This dataset is in support of my planned research paper shortly to be submitted to "IEEE Transactions on Power Electronics".In this paper and dataset, speed and the position estimation of BLDC is done using the sensorless vector control method i.e., Field Oriented control (FOC). The performance comparison using Sliding Mode Observer (SMO) and flux observer.All this is implemented on 32-bit Real-Time microcontroller. The pins usage not mentioned here are used for other General-Purpose-CAN,USB, RS485 etc.PFC is not included in this simulation as it is assumed that PF = 1.
DOI: 10.21227/r0g9-5p72
title: W BLDC Sensorless FOC - Sliding Mode vs Flux Observer

description: In the dataset " " BLDC motor wasIn this dataset, theThis dataset is also in support of my planned research paper " Performance Optimizer " about to be submitted shortly to "IEEE Transactions on Power Electronics".PFC is not included in this simulation as it is assumed that PF = 1.
DOI: 10.21227/8n8z-ww69
title: 1.8kW BLDC Sensorless FOC - Sliding Mode vs Flux Observer

description: This dataset is in support of my planned research paper shortly to be submitted to "IEEE Transactions on Power Electronics".In this paper and dataset, speed and the position estimation of BLDC is done using the sensorless vector control method i.e., Field Oriented control (FOC). The performance comparison using Sliding Mode Observer (SMO) and flux observer.All this is implemented on 32-bit Real-Time microcontroller. The pins usage not mentioned here are used for other General-Purpose-CAN,USB, RS485 etc.PFC is not included in this simulation as it is assumed that PF = 1.
DOI: 10.21227/1yvt-fw39
title: Inverter Affect on FOC Performance

description: This dataset is in support of my planned research paper shortly to be submitted to "IEEE Transactions on Power Electronics".In this paper and dataset,PFC is not included in this simulation as it is assumed that PF = 1.
DOI: 10.21227/zr0a-h577
title: kW DC Solar with BMS

description: This dataset is in support of my planned research paper shortly to be submitted to "IEEE Transactions on Energy Conversion".In this paper and dataset,
DOI: 10.21227/vy50-4e49
title: W BLDC Sensorless FOC - Sliding Mode vs Flux Observer

description: This dataset is also in support of my planned research paper " Performance Optimizer " about to be submitted shortly to "IEEE Transactions on Power Electronics".In the dataset " " BLDC motor was 1.8 kW 3000rpm. In this dataset, the same controller is used butPFC is not included in this simulation as it is assumed that PF = 1.
DOI: 10.21227/4jdz-ad08
title: W BLDC Sensorless FOC - Sliding Mode vs Flux Observer

description: This dataset is in support of my planned research paper shortly to be submitted to "IEEE Transactions on Power Electronics".In the dataset " " BLDC motor was 1.8 kW 3000rpm. In this dataset, the same controller is used butPFC is not included in this simulation as it is assumed that PF = 1.
DOI: 10.21227/z30d-1z69
title: 1.8kW BLDC Sensorless FOC - Sliding Mode vs Flux Observer

description: This dataset is in support of my planned research paper shortly to be submitted to "IEEE Transactions on Power Electronics".In this paper and dataset, speed and the position estimation of BLDC is done using the sensorless vector control method i.e., Field Oriented control (FOC). The performance comparison using Sliding Mode Observer (SMO) and flux observer.All this is implemented on 32-bit Real-Time microcontroller. The pins usage not mentioned here are used for other General-Purpose-CAN,USB, RS485 etc.PFC is not included in this simulation as it is assumed that PF = 1.
DOI: 10.21227/dr7c-jy46
title: 1.8kW BLDC Sensorless FOC - Sliding Mode vs Flux Observer

description: This dataset is in support of my planned research paper shortly to be submitted to "IEEE Transactions on Power Electronics".In this paper and dataset, speed and the position estimation of BLDC is done using the sensorless vector control method i.e., Field Oriented control (FOC). The performance comparison using Sliding Mode Observer (SMO) and flux observer.All this is implemented on 32-bit Real-Time microcontroller. The pins usage not mentioned here are used for other General-Purpose-CAN,USB, RS485 etc.PFC is not included in this simulation as it is assumed that PF = 1.
DOI: 10.21227/tmmz-5j74
title: W BLDC Sensorless FOC - Sliding Mode vs Flux Observer

description: This dataset is in support of my planned research paper shortly to be submitted to "IEEE Transactions on Power Electronics".In the dataset " " BLDC motor was 1.8 kW 3000rpm. In this dataset, the same controller is used butPFC is not included in this simulation as it is assumed that PF = 1.
DOI: 10.6084/m9.figshare.13239500
title: Selected Data from the Holocene marine deposits of the Canary Islands, Spain.

description: This data set contains a selection of reliable data from the main Holocene marine sites of paleontological and paleoclimatic interest from the Canary Islands, Spain. There are three sections: (1) Topographical Location of the selected sites, in terms of UTM coordinates and heights (m), above the present medium sea level (a.p.s.l.); (2) Geology and Radiocarbon ages, including a short geological description of the marine deposits and their conventional and calibrated ages; (3) paleontology and paleoclimate, with a summary of the main fossil fauna, species and/or subspecies, collected from the sites and properly classified in accordance with the systematic paleontology; and an interpretation of the paleoclimatic conditions at the time the fossils lived and were deposited. Moreover, when available, values of SST (Sea Surface Temperature) have been also calculated (or estimated). Each section is presented with their available scientific source(s).<br>
DOI: 10.6084/m9.figshare.13239500.v1
title: Selected Data from the Holocene marine deposits of the Canary Islands, Spain.

description: This data set contains a selection of reliable data from the main Holocene marine sites of paleontological and paleoclimatic interest from the Canary Islands, Spain. There are three sections: (1) Topographical Location of the selected sites, in terms of UTM coordinates and heights (m), above the present medium sea level (a.p.s.l.); (2) Geology and Radiocarbon ages, including a short geological description of the marine deposits and their conventional and calibrated ages; (3) paleontology and paleoclimate, with a summary of the main fossil fauna, species and/or subspecies, collected from the sites and properly classified in accordance with the systematic paleontology; and an interpretation of the paleoclimatic conditions at the time the fossils lived and were deposited. Moreover, when available, values of SST (Sea Surface Temperature) have been also calculated (or estimated). Each section is presented with their available scientific source(s).<br>
DOI: 10.6084/m9.figshare.13296551
title: Selected Data from the MIS 11 marine deposits of the Canary Islands, Spain.

description: This data set contains a selection of reliable data from the main MIS (Marine Isotope Stage) 11 marine sites of paleontological and paleoclimatic interest from the Canary Islands, Spain. There are three sections: (1) Topographical Location of the selected sites, in terms of UTM coordinates and Heights (m), above the present medium sea level (a.p.s.l.); (2) Geology and Radiometric ages, including a short geological description of the marine deposits, their radiometric ages and dating methods; (3) Paleontology and Paleoclimate, with a summary of the main fossil fauna, species and/or subspecies, collected from the sites and properly classified in accordance with the Systematic Paleontology; and an interpretation of the paleoclimatic conditions at the time the fossils lived and were deposited. Moreover, when available, values of SST (Sea Surface Temperature) have been also calculated (or estimated). Each section is presented with their available scientific source(s).
DOI: 10.6084/m9.figshare.13296530.v1
title: Selected Data from the MIS 5.5 (or MIS 5e) marine deposits of the Canary Islands, Spain.

description: This data set contains a selection of reliable data from the Marine Isotope Stage MIS 5.5, or MIS 5e, marine sites of paleontological and paleoclimatic interest from the Canary Islands, Spain. There are three sections: (1) Topographical Location of the selected sites, in terms of UTM coordinates and heights (m), above the present medium sea level (a.p.s.l.); (2) Geology and Radiometric ages, including a short geological description of the marine deposits, their radiometric ages and dating methods; (3) Paleontology and Paleoclimate, with a summary of the main fossil fauna, species and/or subspecies, collected from the sites and properly classified in accordance with the Systematic Paleontology; and an interpretation of the paleoclimatic conditions at the time the fossils lived and were deposited. Moreover, when available, values of SST (Sea Surface Temperature) have been also calculated (or estimated). Each section is presented with their available scientific source(s).
DOI: 10.6084/m9.figshare.13296551.v1
title: Selected Data from the MIS 11 marine deposits of the Canary Islands, Spain.

description: This data set contains a selection of reliable data from the main MIS (Marine Isotope Stage) 11 marine sites of paleontological and paleoclimatic interest from the Canary Islands, Spain. There are three sections: (1) Topographical Location of the selected sites, in terms of UTM coordinates and Heights (m), above the present medium sea level (a.p.s.l.); (2) Geology and Radiometric ages, including a short geological description of the marine deposits, their radiometric ages and dating methods; (3) Paleontology and Paleoclimate, with a summary of the main fossil fauna, species and/or subspecies, collected from the sites and properly classified in accordance with the Systematic Paleontology; and an interpretation of the paleoclimatic conditions at the time the fossils lived and were deposited. Moreover, when available, values of SST (Sea Surface Temperature) have been also calculated (or estimated). Each section is presented with their available scientific source(s).
DOI: 10.6084/m9.figshare.13296530
title: Selected Data from the MIS 5.5 (or MIS 5e) marine deposits of the Canary Islands, Spain.

description: This data set contains a selection of reliable data from the Marine Isotope Stage MIS 5.5, or MIS 5e, marine sites of paleontological and paleoclimatic interest from the Canary Islands, Spain. There are three sections: (1) Topographical Location of the selected sites, in terms of UTM coordinates and heights (m), above the present medium sea level (a.p.s.l.); (2) Geology and Radiometric ages, including a short geological description of the marine deposits, their radiometric ages and dating methods; (3) Paleontology and Paleoclimate, with a summary of the main fossil fauna, species and/or subspecies, collected from the sites and properly classified in accordance with the Systematic Paleontology; and an interpretation of the paleoclimatic conditions at the time the fossils lived and were deposited. Moreover, when available, values of SST (Sea Surface Temperature) have been also calculated (or estimated). Each section is presented with their available scientific source(s).
DOI: 10.21227/nk21-r046
title: 1.8kW BLDC Sensorless FOC - Sliding Mode vs Flux Observer

description: This dataset is in support of my planned research paper shortly to be submitted to "IEEE Transactions on Power Electronics".In this paper and dataset, speed and the position estimation of BLDC is done using the sensorless vector control method i.e., Field Oriented control (FOC). The performance comparison using Sliding Mode Observer (SMO) and flux observer.All this is implemented on 32-bit Real-Time microcontroller. The pins usage not mentioned here are used for other General-Purpose-CAN,USB, RS485 etc.PFC is not included in this simulation as it is assumed that PF = 1.
DOI: 10.21227/7exp-2996
title: 1.8kW BLDC Sensorless FOC - Sliding Mode vs Flux Observer

description: This dataset is in support of my planned research paper shortly to be submitted to "IEEE Transactions on Power Electronics".In this paper and dataset, speed and the position estimation of BLDC is done using the sensorless vector control method i.e., Field Oriented control (FOC). The performance comparison using Sliding Mode Observer (SMO) and flux observer.All this is implemented on 32-bit Real-Time microcontroller. The pins usage not mentioned here are used for other General-Purpose-CAN,USB, RS485 etc.PFC is not included in this simulation as it is assumed that PF = 1.
DOI: 10.21227/94xn-m495
title: 1.8kW BLDC Sensorless FOC - Sliding Mode vs Flux Observer

description: This dataset is in support of my planned research paper shortly to be submitted to "IEEE Transactions on Power Electronics".In this paper and dataset, speed and the position estimation of BLDC is done using the sensorless vector control method i.e., Field Oriented control (FOC). The performance comparison using Sliding Mode Observer (SMO) and flux observer.All this is implemented on 32-bit Real-Time microcontroller. The pins usage not mentioned here are used for other General-Purpose-CAN,USB, RS485 etc.PFC is not included in this simulation as it is assumed that PF = 1.
DOI: 10.21227/2r9j-3w77
title: W BLDC Sensorless FOC - Sliding Mode vs Flux Observer

description: This dataset is in support of my planned research paper shortly to be submitted to "IEEE Transactions on Power Electronics".In the dataset " " BLDC motor was 1.8 kW 3000rpm. In this dataset, the same controller is used butPFC is not included in this simulation as it is assumed that PF = 1.
DOI: 10.21227/sd2s-tf30
title: 100W BLDC Sensorless FOC - Sliding Mode vs Flux Observer

description: This dataset is in support of my planned research paper shortly to be submitted to "IEEE Transactions on Power Electronics".In the dataset " " BLDC motor was 1.8 kW 3000rpm. In this dataset, the same controller is used butPFC is not included in this simulation as it is assumed that PF = 1.
DOI: 10.21227/e6ma-mp70
title: 1.8kW BLDC Sensorless FOC - Sliding Mode vs Flux Observer

description: This dataset is in support of my planned research paper shortly to be submitted to "IEEE Transactions on Power Electronics".In this paper and dataset, speed and the position estimation of BLDC is done using the sensorless vector control method i.e., Field Oriented control (FOC). The performance comparison using Sliding Mode Observer (SMO) and flux observer.All this is implemented on 32-bit Real-Time microcontroller. The pins usage not mentioned here are used for other General-Purpose-CAN,USB, RS485 etc.PFC is not included in this simulation as it is assumed that PF = 1.
DOI: 10.21227/1577-1h81
title: p

description: This dataset is in support of my planned research paper shortly to be submitted to "IEEE Transactions on Energy Conversion".
DOI: 10.21227/7ffw-jm79
title: 1.8kW BLDC Sensorless FOC - Sliding Mode vs Flux Observer

description: This dataset is in support of my planned research paper shortly to be submitted to "IEEE Transactions on Power Electronics".In this paper and dataset, speed and the position estimation of BLDC is done using the sensorless vector control method i.e., Field Oriented control (FOC). The performance comparison using Sliding Mode Observer (SMO) and flux observer.All this is implemented on 32-bit Real-Time microcontroller. The pins usage not mentioned here are used for other General-Purpose-CAN,USB, RS485 etc.PFC is not included in this simulation as it is assumed that PF = 1.
DOI: 10.21227/0b32-v444
title: 1.8kW BLDC Sensorless FOC - Sliding Mode vs Flux Observer

description: This dataset is in support of my planned research paper shortly to be submitted to "IEEE Transactions on Power Electronics".In this paper and dataset, speed and the position estimation of BLDC is done using the sensorless vector control method i.e., Field Oriented control (FOC). The performance comparison using Sliding Mode Observer (SMO) and flux observer.All this is implemented on 32-bit Real-Time microcontroller. The pins usage not mentioned here are used for other General-Purpose-CAN,USB, RS485 etc.PFC is not included in this simulation as it is assumed that PF = 1.
DOI: 10.6084/m9.figshare.13296574
title: Supplementary Material Table S3 from Archaeological mitogenomes illuminate the historical ecology of sea otters (<i>Enhydra lutris</i>) and the viability of reintroduction

description: Haplotypes table
DOI: 10.6084/m9.figshare.13296577.v1
title: Supplementary Material Table S1 from Archaeological mitogenomes illuminate the historical ecology of sea otters (<i>Enhydra lutris</i>) and the viability of reintroduction

description: Detailed specimen metadata
DOI: 10.6084/m9.figshare.13296574.v1
title: Supplementary Material Table S3 from Archaeological mitogenomes illuminate the historical ecology of sea otters (<i>Enhydra lutris</i>) and the viability of reintroduction

description: Haplotypes table
DOI: 10.6084/m9.figshare.13296583.v1
title: Supplementary Material Table S2 from Archaeological mitogenomes illuminate the historical ecology of sea otters (<i>Enhydra lutris</i>) and the viability of reintroduction

description: DNA Pipeline Summary/Statistics
DOI: 10.6084/m9.figshare.13296577
title: Supplementary Material Table S1 from Archaeological mitogenomes illuminate the historical ecology of sea otters (<i>Enhydra lutris</i>) and the viability of reintroduction

description: Detailed specimen metadata
DOI: 10.6084/m9.figshare.13296583
title: Supplementary Material Table S2 from Archaeological mitogenomes illuminate the historical ecology of sea otters (<i>Enhydra lutris</i>) and the viability of reintroduction

description: DNA Pipeline Summary/Statistics