cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.23641/asha.21291384.v1
title: Evaluation of BCI, EyeLink, and eye-tracking camera (Elliott et al., 2022)

description: <strong>Purpose: </strong>Augmentative and alternative communication (AAC) systems are important to support communication for individuals with complex communication needs. A recent addition to AAC system options is the brain–computer interface (BCI). This study aimed to compare the clinical application of the P300 speller BCI with two more common AAC systems, the EyeLink board, and an eye-tracking camera. <strong>Method:</strong> Ten participants without communication impairment (18–35 years of age) used each of the three AAC systems to spell three-letter words in one session. Accuracy and speed of letter selection were measured, and questionnaires were administered to evaluate usability, cognitive workload, and user preferences. <strong>Results: </strong>The results showed that the BCI was significantly less accurate, slower, and with lower usability and higher cognitive workload compared to the eye-tracking camera and EyeLink board. Participants rated the eye-tracking camera as the most favorable AAC system on all measures. <strong>Conclusions: </strong>The results demonstrated that while the P300 speller BCI was usable by most participants, it did not function as well as the eye-tracking camera and EyeLink board. The clinical use of the BCI is, therefore, currently difficult to justify for most individuals, particularly when considering the substantial cost and setup resourcing needed. <strong>Supplemental Material S1. </strong>Range in accuracy and speed for words spelled per participant and system. Elliott, C., Sutherland, D., Gerhard, D., & Theys, C. (2022). An evaluation of the P300 brain–computer interface, EyeLink board, and eye-tracking camera as augmentative and alternative communication devices. <em>Journal of Speech, Language, and Hearing Research</em>. Advance online publication. https://doi.org/10.1044/2022_JSLHR-21-00572
DOI: 10.5281/zenodo.7190249
title: Pertemuan 3, MEMAHAMI PENGERTIAN PASAR MODAL, 13 Oktober 2022 Universitas Wijaya Putra MM

description: <strong>Capaian Pembelajaran Mata Kuliah (CPMK)</strong> Mahasiswa Mampu Memahami Pengertian Pasar Modal <strong>Pengertian Pasar Modal</strong> Pengertian pasar modal yang berdasarkan isi Undang-Undang No. 21 tahun 2011 tentang Otoritas Jasa Keuangan, dalam undang-undang tersebut disebutkan bahwa pasar modal merupakan suatu bentuk kegiatan yang bersangkutan dengan penawaran umum dan perdagangan efek perusahaan publik yang berkaitan dengan efek yang diterbitkannya, serta lembaga dan profesi yang berkaitan dengan efek sebagaimana dimakslud dalam UU mengenai pasar modal
description: Pertemuan 3, MEMAHAMI PENGERTIAN PASAR MODAL, 13 Oktober 2022 Universitas Wijaya Putra MM
DOI: 10.5281/zenodo.7190248
title: Pertemuan 3, MEMAHAMI PENGERTIAN PASAR MODAL, 13 Oktober 2022 Universitas Wijaya Putra MM

description: <strong>Capaian Pembelajaran Mata Kuliah (CPMK)</strong> Mahasiswa Mampu Memahami Pengertian Pasar Modal <strong>Pengertian Pasar Modal</strong> Pengertian pasar modal yang berdasarkan isi Undang-Undang No. 21 tahun 2011 tentang Otoritas Jasa Keuangan, dalam undang-undang tersebut disebutkan bahwa pasar modal merupakan suatu bentuk kegiatan yang bersangkutan dengan penawaran umum dan perdagangan efek perusahaan publik yang berkaitan dengan efek yang diterbitkannya, serta lembaga dan profesi yang berkaitan dengan efek sebagaimana dimakslud dalam UU mengenai pasar modal
description: Pertemuan 3, MEMAHAMI PENGERTIAN PASAR MODAL, 13 Oktober 2022 Universitas Wijaya Putra MM
DOI: 10.17909/bwpn-jg35
title: SWP data 112 Her
DOI: 10.5281/zenodo.7190265
title: lithophaga_nigra_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.7190264
title: lithophaga_nigra_zanfona_1.fasta.gz

description: .
DOI: 10.6073/pasta/f2b5956cf33fef09e8190515f1e1c011
title: Interpolated N2O fluxes on the GLBRC Scaleup Sites at the Kellogg Biological Station, Hickory Corners, MI (2010 to 2014)

description: Dataset AbstractTo create a complete time series of N2O fluxes from the GLBRC Scaleup fields the fluxes were interpolated from 2010 to 2014.original data source http://lter.kbs.msu.edu/datasets/168
DOI: 10.6084/m9.figshare.21318036
title: Data on Developing Process for Selecting Research Techniques in Urban Planning and Urban Design with a PRISMA

description: Developing Process for Selecting Research Techniques in <br> Urban Planning and Urban Design with a PRISMA-<br> Compliant Review
DOI: 10.6084/m9.figshare.21318036.v2
title: Data on Developing Process for Selecting Research Techniques in Urban Planning and Urban Design with a PRISMA

description: Developing Process for Selecting Research Techniques in <br> Urban Planning and Urban Design with a PRISMA-<br> Compliant Review
DOI: 10.6084/m9.figshare.21318036.v1
title: Developing Process for Selecting Research Techniques in Urban Planning and Urban Design with a PRISMA- Compliant Review

description: Developing Process for Selecting Research Techniques in <br> Urban Planning and Urban Design with a PRISMA-<br> Compliant Review
DOI: 10.5281/zenodo.7190321
title: mytilisepta_virgata_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.7190320
title: mytilisepta_virgata_zanfona_1.fasta.gz

description: .
DOI: 10.5066/p9furouf
title: Total organic carbon and pyrolysis analysis data for the Rock Well Petroleum core #8, southern Casper arch, Natrona County, Wyoming

description: In 2006, Rock Well Petroleum drilled and logged nearly 1,600 feet (ft) of continuous core on the southern part of the Casper arch in Natrona County, Wyoming (see fig1.png). The core hole, named the Poison Spider core #8 penetrated the interval extending from the Upper Cretaceous Frontier Formation to the Triassic Alcova Limestone. The core was subsequently donated to the U.S. Geological Survey Core Research Center (CRC) in Lakewood, Colorado, where it was sampled to evaluate the hydrocarbon source rock potential of the Lower and lowermost Upper Cretaceous marine shales.
DOI: 10.5517/ccdc.csd.cc27r517
title: CCDC 2077838: Experimental Crystal Structure Determination

description: Related Article: Wei Xiong, Shaohua Shen, Lejia Wang, Liangjun Shen, Xufeng Luo, Xunwen Xiao|2022|J.Solid State Chem.|316|123623|doi:10.1016/j.jssc.2022.123623
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.cc292jrp
title: CCDC 2117602: Experimental Crystal Structure Determination

description: Related Article: Wei Xiong, Shaohua Shen, Lejia Wang, Liangjun Shen, Xufeng Luo, Xunwen Xiao|2022|J.Solid State Chem.|316|123623|doi:10.1016/j.jssc.2022.123623
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.cc298lsz
title: CCDC 2123431: Experimental Crystal Structure Determination

description: Related Article: Chin May Ngue, Febri Baskoro, Hui Qi Wong, Hung-Ju Yen, Man-Kit Leung|2022|Cryst.Growth Des.|22|5872|doi:10.1021/acs.cgd.2c00354
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.cc298lt0
title: CCDC 2123432: Experimental Crystal Structure Determination

description: Related Article: Chin May Ngue, Febri Baskoro, Hui Qi Wong, Hung-Ju Yen, Man-Kit Leung|2022|Cryst.Growth Des.|22|5872|doi:10.1021/acs.cgd.2c00354
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: 10.48366/r222041
title: Highly charged ions (HCI) and HCI beams used in state of the art applications.

description: Transition energies of highly charged ions (HCI) is a topic of interest in atomic physics, as well as the use of beams of HCIs in applications. For example, HCIs can intervene as a surface functionalization tool, or allow for studies relevant to astrophysics. Here is a comparison that surveys papers using state of the art beam technology in order to either: produce, excite or apply HCIs in various scenarios.
DOI: 10.15472/wzdwjs
title: Listado de especies de plantas útiles comercializadas en los mercados del distrito de Barranquilla, Atlántico.

description: Listado con 125 especies de plantas útiles comercializadas en el sector de mercados del distrito de Barranquilla, Atlántico. Este recurso fue creado a partir de información primaria de plantas útiles recolectada a través de una encuesta etnobotánica y recorridos por los mercados del distrito con el propósito de generar insumos para el conocimiento de las plantas útiles comercializadas en los mercados de Barranquilla. Este recurso fue creado en el marco del proyecto Expedición científica piloto a una Biodiverciudad con enfoque en Bioeconomía durante los meses de abril a julio del 2022. En este recurso se presenta un listado de 125 especies pertenecientes al reino Plantae, 123 determinados a especie, 1 a variedad y 1 a nivel de subespecies. De las especies registradas, 66 son nativas de Colombia y 60 son exóticas. El uso medicinal registró 75 especies y se registraron 58 especies con uso para alimento humano, seguido del uso cultural con 25 especies y utensilios con 12 especies. Las categorías con menor número de especies fueron alimento animal (5 especies), ambientales (2 especies) y tóxico con una especie.
DOI: 10.15151/esrf-es-903899218
title: Chromium speciation in highly polluted soils by X-ray Absorption Fine Structure

description: Chromium is a common contaminant in soil due to its frequent industrial application. For the past two decades, chromium is considered as one of the top 20 contaminants on the Superfund priority list of hazardous substances. Hexavalent Cr(VI) is carcinogenic and toxic for organisms. The quantification of Cr(VI) in the most Crpolluted soil samples is not accurate because high content in organic matter causes a considerable or complete reduction of Cr(VI) during phase extraction. Cr speciation by chemical analytical methods is rather complicated. XANES spectroscopy can probe all the irradiated chromium atoms in a sample to directly determine its chemical chromium composition. Different chromium species show unique spectral features that estimate different chromium oxidation states. A more complete characterization of chromium compounds in the soil will be derived from the quantitative EXAFS analysis and the comparison between XANES spectra of chromium in the soil and reference compounds.
DOI: 10.6084/m9.figshare.21318066
title: PacBio MAGs

description: High-quality, dereplicated metagenome-assembled genomes generated from 14 long read (PacBio) and hybrid (Illumina + PacBio) assemblies. Metagenomes were generated from water column filter samples taken from the California Current.
DOI: 10.6084/m9.figshare.21318066.v1
title: PacBio MAGs

description: High-quality, dereplicated metagenome-assembled genomes generated from 14 long read (PacBio) and hybrid (Illumina + PacBio) assemblies. Metagenomes were generated from water column filter samples taken from the California Current.
DOI: 10.6084/m9.figshare.21318225
title: ATCC_E.coli_SMPR_Exclusion_Temp2.xlsx

description: AOAC exclusion list for E.coli testing in Cannabis as seen in.. https://www.aoac.org/wp-content/uploads/2021/02/SMPR-2020_012.pdf
DOI: 10.6084/m9.figshare.21318225.v1
title: ATCC_E.coli_SMPR_Exclusion_Temp2.xlsx

description: AOAC exclusion list for E.coli testing in Cannabis as seen in.. https://www.aoac.org/wp-content/uploads/2021/02/SMPR-2020_012.pdf
DOI: 10.5281/zenodo.7115910
title: Datafiles for "Ring Fault Slip Reversal at Bárðarbunga Volcano, Iceland: Seismicity during Caldera Collapse and Re-Inflation 2014-2018"

description: <strong>Datafiles for the manuscript "Ring Fault Slip Reversal at Bárðarbunga Volcano, Iceland: Seismicity during Caldera Collapse and Re-Inflation 2014-2018" by Glastonbury-Southern, E., Winder, T., White, R.S., and Brandsdóttir, B., submitted for publication in Geophysical Research Letters.</strong> This includes cut waveform data in miniseed format from stations operated by the University of Cambridge for the 30 earthquakes included in the study, as listed in Table S1.
DOI: 10.5281/zenodo.6385672
title: LULUCF data based on National Greenhouse Gas Inventories (NGHGI DB)

description: This NGHGI DB aims to present a detailed, updated and comprehensive collection of LULUCF CO2 data, based on countries's submissions to the United Nations Framework Convention on Climate Change (UNFCCC). The purpose is supporting the analysis of country LULUCF data by the scientific and policy communities. This file contains the tables included in the Supplementary Information of the paper "Carbon fluxes from land 2000-2020: bringing clarity on countries’ reporting" by Grassi et al. (2022) For Annex I countries, data are sourced from annual GHG inventories. <br> For non-Annex I countries, we compiled the most recent and complete information from different sources, including National Communications, Biennial Update Reports, submissions to the REDD+ (Reducing Emissions from Deforestation and Forest Degradation) framework and Nationally Determined Contributions. The data are disaggregated into fluxes from forest land, deforestation, organic soils and other sources (including non-forest land uses). The CO2 flux database is complemented by information on managed and unmanaged forest area as available in NGHGIs. To ensure completeness of time series, we filled the gaps without altering the levels and trends of the country reported data. Expert judgement was applied in a few cases when data inconsistencies existed. <br> For further methodological details, see:<br> Grassi G, Conchedda G, Federici S, Abad Viñas R, Korosuo A, Melo J, Rossi S, Sandker M, Somogyi Z, Tubiello F. Carbon fluxes from land 2000-2020: bringing clarity on countries’ reporting. ESSD (submitted) Reference for the NGHGI database:<br> Grassi G, Federici S, Abad Viñas R, Korosuo A, Rossi S (2022). LULUCF data based on National GHG inventories (NGHGI DB) For any enquiry, please write to Giacomo Grassi (giacomo.grassi@ec.europa.eu) and Simone Rossi (simone.rossi@ext.ec.europa.eu)
DOI: 10.5281/zenodo.6390739
title: LULUCF data based on National GHG inventories (NGHGI DB)

description: This NGHGI DB presents a detailed, updated and comprehensive collection of LULUCF CO2 data, based on countries's submissions to the United Nations Framework Convention on Climate Change (UNFCCC). The purpose is supporting the analysis of country LULUCF data by the scientific and policy communities. This file contains the tables included in the Supplementary Information of the paper "Carbon fluxes from land 2000-2020: bringing clarity on countries’ reporting" by Grassi et al. (2022) For Annex I countries, data are sourced from annual GHG inventories. For non-Annex I countries, we compiled the most recent and complete information from different sources, including National Communications, Biennial Update Reports, submissions to the REDD+ (Reducing Emissions from Deforestation and Forest Degradation) framework and Nationally Determined Contributions. The data are disaggregated into fluxes from forest land, deforestation, organic soils and other sources (including non-forest land uses). The CO2 flux database is complemented by information on managed and unmanaged forest area as available in NGHGIs. To ensure completeness of time series, we filled the gaps without altering the levels and trends of the country reported data. Expert judgement was applied in a few cases when data inconsistencies existed. For further methodological details, see: Grassi G, Conchedda G, Federici S, Abad Viñas R, Korosuo A, Melo J, Rossi S, Sandker M, Somogyi Z, Tubiello F. Carbon fluxes from land 2000-2020: bringing clarity on countries’ reporting. ESSD (submitted)
DOI: 10.5281/zenodo.7034310
title: LULUCF data based on National GHG inventories (NGHGI DB)

description: This NGHGI DB presents a detailed, updated and comprehensive collection of LULUCF CO2 data, based on countries's submissions to the United Nations Framework Convention on Climate Change (UNFCCC). The purpose is supporting the analysis of country LULUCF data by the scientific and policy communities. This file contains the tables included in the Supplementary Information of the paper "Carbon fluxes from land 2000-2020: bringing clarity on countries’ reporting" by Grassi et al. (2022) For Annex I countries, data are sourced from annual GHG inventories. For non-Annex I countries, we compiled the most recent and complete information from different sources, including National Communications, Biennial Update Reports, submissions to the REDD+ (Reducing Emissions from Deforestation and Forest Degradation) framework and Nationally Determined Contributions. The data are disaggregated into fluxes from forest land, deforestation, organic soils and other sources (including non-forest land uses). The CO2 flux database is complemented by information on managed and unmanaged forest area as available in NGHGIs. To ensure completeness of time series, we filled the gaps without altering the levels and trends of the country reported data. Expert judgement was applied in a few cases when data inconsistencies existed. For further methodological details, see: Grassi G, Conchedda G, Federici S, Abad Viñas R, Korosuo A, Melo J, Rossi S, Sandker M, Somogyi Z, Vizzarri M, Tubiello F. Carbon fluxes from land 2000-2020: bringing clarity on countries’ reporting. ESSD
DOI: 10.5281/zenodo.7034483
title: LULUCF data based on National GHG inventories (NGHGI DB)

description: The National GHG Inventory database (NGHGI DB) presents a detailed, updated and comprehensive collection of LULUCF CO2 data, based on countries' submissions to the United Nations Framework Convention on Climate Change (UNFCCC). This file contains the main data included the paper "Carbon fluxes from land 2000-2020: bringing clarity on countries’ reporting" by Grassi et al. (2022), and aims supporting the analysis of country LULUCF data by the scientific and policy communities. For Annex I countries, data are sourced from annual GHG inventories. For non-Annex I countries, we compiled the most recent and complete information from different sources, including National Communications, Biennial Update Reports, submissions to the REDD+ (Reducing Emissions from Deforestation and Forest Degradation) framework and Nationally Determined Contributions. The data are disaggregated into fluxes from forest land, deforestation, organic soils and other sources (including non-forest land uses). The CO2 flux database is complemented by information on managed and unmanaged forest area as available in NGHGIs, in few cases using data from the Forest Resources Assessment report 2020. To ensure completeness of time series, we filled the gaps without altering the levels and trends of the country reported data. Expert judgement was applied in a few cases when data inconsistencies existed. For further methodological details, see: Grassi G, Conchedda G, Federici S, Abad Viñas R, Korosuo A, Melo J, Rossi S, Sandker M, Somogyi Z, Vizzarri M, Tubiello F. Carbon fluxes from land 2000-2020: bringing clarity on countries’ reporting. ESSD
DOI: 10.5281/zenodo.7190537
title: LULUCF data based on National GHG inventories (NGHGI DB)

description: The National GHG Inventory database (NGHGI DB) presents a detailed, updated and comprehensive collection of LULUCF CO2 data, based on countries' submissions to the United Nations Framework Convention on Climate Change (UNFCCC). This file contains the main data included the paper "Carbon fluxes from land 2000-2020: bringing clarity on countries’ reporting" by Grassi et al. (2022), and aims supporting the analysis of country LULUCF data by the scientific and policy communities. For Annex I countries, data are sourced from annual GHG inventories. For non-Annex I countries, we compiled the most recent and complete information from different sources, including National Communications, Biennial Update Reports, submissions to the REDD+ (Reducing Emissions from Deforestation and Forest Degradation) framework and Nationally Determined Contributions. The data are disaggregated into fluxes from forest land, deforestation, organic soils and other sources (including non-forest land uses). The CO2 flux database is complemented by information on managed and unmanaged forest area as available in NGHGIs, in few cases using data from the Forest Resources Assessment report 2020. To ensure completeness of time series, we filled the gaps without altering the levels and trends of the country reported data. Expert judgement was applied in a few cases when data inconsistencies existed. For further methodological details, see: Grassi G, Conchedda G, Federici S, Abad Viñas R, Korosuo A, Melo J, Rossi S, Sandker M, Somogyi Z, Vizzarri M, Tubiello F. Carbon fluxes from land 2000-2020: bringing clarity on countries’ reporting. ESSD
DOI: 10.5281/zenodo.6385671
title: LULUCF data based on National GHG inventories (NGHGI DB)

description: The National GHG Inventory database (NGHGI DB) presents a detailed, updated and comprehensive collection of LULUCF CO2 data, based on countries' submissions to the United Nations Framework Convention on Climate Change (UNFCCC). This file contains the main data included the paper "Carbon fluxes from land 2000-2020: bringing clarity on countries’ reporting" by Grassi et al. (2022), and aims supporting the analysis of country LULUCF data by the scientific and policy communities. For Annex I countries, data are sourced from annual GHG inventories. For non-Annex I countries, we compiled the most recent and complete information from different sources, including National Communications, Biennial Update Reports, submissions to the REDD+ (Reducing Emissions from Deforestation and Forest Degradation) framework and Nationally Determined Contributions. The data are disaggregated into fluxes from forest land, deforestation, organic soils and other sources (including non-forest land uses). The CO2 flux database is complemented by information on managed and unmanaged forest area as available in NGHGIs, in few cases using data from the Forest Resources Assessment report 2020. To ensure completeness of time series, we filled the gaps without altering the levels and trends of the country reported data. Expert judgement was applied in a few cases when data inconsistencies existed. For further methodological details, see: Grassi G, Conchedda G, Federici S, Abad Viñas R, Korosuo A, Melo J, Rossi S, Sandker M, Somogyi Z, Vizzarri M, Tubiello F. Carbon fluxes from land 2000-2020: bringing clarity on countries’ reporting. ESSD