cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.6907423
title: Flintbek - Merkmalsaufnahmen Bernstein, Keramik und Steinartefakte und 14C-Daten

description: Metadaten <br> zu den Merkmalsaufnahmen von Bernsteinfunden, Keramikfunden und Steinartefaktfunden in <br> Flintbek, Kr. Rendsburg-Eckernförde, Schleswig-Holstein sowie Liste der 14C-Daten 1. Allgemeine Informationen: Urheber, Publikation, Fundplätze, Daten<br> 2. Bernstein<br> 3. Keramik <br> 4. Steinartefakte<br> 5. 14C-Daten - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - <br> Mischka, Doris. (2020). <br> Flintbek - Merkmalsaufnahmen Bernstein, Keramik und Steinartefakte (Version 0.1) [Data set]. <br> Zenodo. http://doi.org/10.5281/zenodo.4395693 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Urheber:<br> Doris Mischka, Das Neolithikum in Flintbek, Kr. Rendsburg-Eckernförde, Schleswig-Holstein – <br> Eine feinchronologische Studie zur Besiedlungsgeschichte einer Siedlungskammer anhand von Gräbern, ungedruckte Habilitationsschrift Kiel 2011. Publikation:<br> D. Mischka, Das Neolithikum in Flintbek, Kr. Rendsburg-Eckernförde, Schleswig-Holstein. <br> Eine feinchronologische Studie zur Besiedlungsgeschichte anhand von Gräbern. <br> Frühe Monumentalität und soziale Differenzierung 20 (Bonn 2022).<br> - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Kontakt: <br> D. Mischka<br> Institut für Ur- und Frühgeschichte<br> der FAU Erlangen-Nürnberg<br> Kochstr. 4/18<br> 91054 Erlangen<br> Email: doris.mischka@fau.de<br> Telefon: 0049 (0) 9131-85-22408 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Zu den Fundplätzen:<br> Fundplätze mit neolithischen Befunden und Funden<br> Flintbek LA 1, 3-7, 11, 17/171, 18, 20, 22, 35, 37-38, 40, 44, 48-49, 52-53, 56-58, 107, 108, 137, 143, 167 Befunde: zumeist Gräber, nichtmegalithische und megalithische<br> Trichterbecherkultur (gesamt)
description: in Version 0.2 Tabelle mit 14C-Daten ergänzt
description: {"references": ["Doris Mischka, Das Neolithikum in Flintbek, Kr. Rendsburg-Eckernf\u00f6rde, Schleswig-Holstein \u2013 Eine feinchronologische Studie zur Besiedlungsgeschichte einer Siedlungskammer anhand von Gr\u00e4bern, ungedruckte Habilitationsschrift Kiel 2011", "D. Mischka, Das Neolithikum in Flintbek, Kr. Rendsburg-Eckernf\u00f6rde, Schleswig-Holstein. Eine feinchronologische Studie zur Besiedlungsgeschichte anhand von Gr\u00e4bern. Fr\u00fche Monumentalit\u00e4t und soziale Differenzierung 20 (Bonn 2022)."]}
DOI: 10.5281/zenodo.4395692
title: Flintbek - Merkmalsaufnahmen Bernstein, Keramik und Steinartefakte und 14C-Daten

description: Metadaten <br> zu den Merkmalsaufnahmen von Bernsteinfunden, Keramikfunden und Steinartefaktfunden in <br> Flintbek, Kr. Rendsburg-Eckernförde, Schleswig-Holstein sowie Liste der 14C-Daten 1. Allgemeine Informationen: Urheber, Publikation, Fundplätze, Daten<br> 2. Bernstein<br> 3. Keramik <br> 4. Steinartefakte<br> 5. 14C-Daten - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - <br> Mischka, Doris. (2020). <br> Flintbek - Merkmalsaufnahmen Bernstein, Keramik und Steinartefakte (Version 0.1) [Data set]. <br> Zenodo. http://doi.org/10.5281/zenodo.4395693 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Urheber:<br> Doris Mischka, Das Neolithikum in Flintbek, Kr. Rendsburg-Eckernförde, Schleswig-Holstein – <br> Eine feinchronologische Studie zur Besiedlungsgeschichte einer Siedlungskammer anhand von Gräbern, ungedruckte Habilitationsschrift Kiel 2011. Publikation:<br> D. Mischka, Das Neolithikum in Flintbek, Kr. Rendsburg-Eckernförde, Schleswig-Holstein. <br> Eine feinchronologische Studie zur Besiedlungsgeschichte anhand von Gräbern. <br> Frühe Monumentalität und soziale Differenzierung 20 (Bonn 2022).<br> - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Kontakt: <br> D. Mischka<br> Institut für Ur- und Frühgeschichte<br> der FAU Erlangen-Nürnberg<br> Kochstr. 4/18<br> 91054 Erlangen<br> Email: doris.mischka@fau.de<br> Telefon: 0049 (0) 9131-85-22408 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Zu den Fundplätzen:<br> Fundplätze mit neolithischen Befunden und Funden<br> Flintbek LA 1, 3-7, 11, 17/171, 18, 20, 22, 35, 37-38, 40, 44, 48-49, 52-53, 56-58, 107, 108, 137, 143, 167 Befunde: zumeist Gräber, nichtmegalithische und megalithische<br> Trichterbecherkultur (gesamt)
description: in Version 0.2 Tabelle mit 14C-Daten ergänzt
description: {"references": ["Doris Mischka, Das Neolithikum in Flintbek, Kr. Rendsburg-Eckernf\u00f6rde, Schleswig-Holstein \u2013 Eine feinchronologische Studie zur Besiedlungsgeschichte einer Siedlungskammer anhand von Gr\u00e4bern, ungedruckte Habilitationsschrift Kiel 2011", "D. Mischka, Das Neolithikum in Flintbek, Kr. Rendsburg-Eckernf\u00f6rde, Schleswig-Holstein. Eine feinchronologische Studie zur Besiedlungsgeschichte anhand von Gr\u00e4bern. Fr\u00fche Monumentalit\u00e4t und soziale Differenzierung 20 (Bonn 2022)."]}
DOI: 10.5519/qd.3f86euds
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (169 records)
DOI: 10.5281/zenodo.6907537
title: Micropterix facetella decontaminated gx

description: .
DOI: 10.5281/zenodo.6907536
title: Micropterix facetella decontaminated gx

description: .
DOI: 10.6084/m9.figshare.20376264
title: Supp Material Gonçalves et al. 2022.docx

description: <strong>Sportomics analysis of two high-intensity interval-training methods, CrossFit ™and Cross Combat™</strong> <br> <strong>Supplementary material</strong>
DOI: 10.6084/m9.figshare.20376264.v1
title: Supp Material Gonçalves et al. 2022.docx

description: <strong>Sportomics analysis of two high-intensity interval-training methods, CrossFit ™and Cross Combat™</strong> <br> <strong>Supplementary material</strong>
DOI: 10.34740/kaggle/dsv/3988359
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.6084/m9.figshare.20376333
title: Model4T1

description: Parameters for the 3D crustal-scale Model4T1
DOI: 10.6084/m9.figshare.20376333.v1
title: Model4T1

description: Parameters for the 3D crustal-scale Model4T1
DOI: 10.6084/m9.figshare.20376348
title: Model4T2

description: Parameters for the 3D crustal-scale Model4T2
DOI: 10.6084/m9.figshare.20376348.v1
title: Model4T2

description: Parameters for the 3D crustal-scale Model4T2
DOI: 10.6084/m9.figshare.20376321
title: Model4

description: Parameters for 3D crustal-scale Model4
DOI: 10.6084/m9.figshare.20376321.v1
title: Model4

description: Parameters for 3D crustal-scale Model4
DOI: 10.6084/m9.figshare.20376300
title: Model2

description: Parameters for 3D crustal-scale Model2
DOI: 10.6084/m9.figshare.20376306
title: Model3

description: Parameters for 3D crustal-scale Model3
DOI: 10.6084/m9.figshare.20376306.v1
title: Model3

description: Parameters for 3D crustal-scale Model3
DOI: 10.6084/m9.figshare.20376261
title: Model1

description: Input data for 3D crustal-scale Model_1
DOI: 10.6084/m9.figshare.20376300.v1
title: Model2

description: Parameters for 3D crustal-scale Model2
DOI: 10.6084/m9.figshare.20376261.v1
title: Model1

description: Input data for 3D crustal-scale Model_1
DOI: 10.6084/m9.figshare.20376369
title: Model4T3

description: Parameters for the 3D crustal-scale Model4T3
DOI: 10.6084/m9.figshare.20376369.v1
title: Model4T3

description: Parameters for the 3D crustal-scale Model4T3
DOI: 10.5281/zenodo.6907558
title: Driving Smart Crane with Various Loads

description: This data set contains data collected from an overhead crane (https://doi.org/10.1109/WF-IoT.2018.8355217) OPC UA server when driving an L-shaped path with different loads (0kg, 120kg, 500kg, and 1000kg). Each driving cycle was driven with an anti-sway system activated and deactivated. Each driving cycle consisted of repeating five times the process of lifting the weight, driving from point A to point B along with the path, lowering the weight, lifting the weight, driving back to point A, and lowering the weight.
description: This folder contains a dataset where an industrial overhead crane (https://doi.org/10.1109/WF-IoT.2018.8355217) has been driven along an L-shaped path. Raw data folder contains unprocessed data that has been logged from the crane OPC UA server. In the folder, data has been divided into subfolders based on the driving cycle. The descriptions of these driving cycles can be found in the file "cycle_parameters.txt". Each cycle subfolder contains log0-log9 folders that contain "DataLogger.csv" file with the logged data and tagconfig.txt that is used to connect the primary keys in the csv-file into correct variables. In addition, each cycle folder contains "CycleX_export_dataframe.csv" that includes the most important variables. These variables are: Alarm, BridgeSpeedFeedback, HoistMotorTorque, BridgePosition, BridgeRopeAngle BridgeMotorTorque, HoistSpeedFeedback, LoadTare, HoistPosition, TrolleyMotorTorque, TrolleySpeedFeedback TrolleyPosition, TrolleyRopeAngle. In the root folder, there are "combined.csv" file that contains the most important variables from all cycles combined into a single file, and "route.png" is a visualization of the path driven with the crane showing the starting point (A) and the turning point (B). Funding Agency: Business Finland Grant 3508/31/2019 and ITEA 3 Call 5 MACHINAIDE
DOI: 10.5281/zenodo.6907569
title: Driving Smart Crane with Various Loads

description: This data set contains data collected from an overhead crane (https://doi.org/10.1109/WF-IoT.2018.8355217) OPC UA server when driving an L-shaped path with different loads (0kg, 120kg, 500kg, and 1000kg). Each driving cycle was driven with an anti-sway system activated and deactivated. Each driving cycle consisted of repeating five times the process of lifting the weight, driving from point A to point B along with the path, lowering the weight, lifting the weight, driving back to point A, and lowering the weight.
description: This folder contains a dataset where an industrial overhead crane (https://doi.org/10.1109/WF-IoT.2018.8355217) has been driven along an L-shaped path. Raw data folder contains unprocessed data that has been logged from the crane OPC UA server. In the folder, data has been divided into subfolders based on the driving cycle. The descriptions of these driving cycles can be found in the file "cycle_parameters.txt". Each cycle subfolder contains log0-log9 folders that contain "DataLogger.csv" file with the logged data and tagconfig.txt that is used to connect the primary keys in the csv-file into correct variables. In addition, each cycle folder contains "CycleX_export_dataframe.csv" that includes the most important variables. These variables are: Alarm, BridgeSpeedFeedback, HoistMotorTorque, BridgePosition, BridgeRopeAngle BridgeMotorTorque, HoistSpeedFeedback, LoadTare, HoistPosition, TrolleyMotorTorque, TrolleySpeedFeedback TrolleyPosition, TrolleyRopeAngle. In the root folder, there are "combined.csv" file that contains the most important variables from all cycles combined into a single file, and "route.png" is a visualization of the path driven with the crane showing the starting point (A) and the turning point (B). Funding Agency: Business Finland Grant 3508/31/2019 and ITEA 3 Call 5 MACHINAIDE
DOI: 10.5281/zenodo.6787782
title: Driving Smart Crane with Various Loads

description: This data set contains data collected from an overhead crane (https://doi.org/10.1109/WF-IoT.2018.8355217) OPC UA server when driving an L-shaped path with different loads (0kg, 120kg, 500kg, and 1000kg). Each driving cycle was driven with an anti-sway system activated and deactivated. Each driving cycle consisted of repeating five times the process of lifting the weight, driving from point A to point B along with the path, lowering the weight, lifting the weight, driving back to point A, and lowering the weight.
description: This folder contains a dataset where an industrial overhead crane (https://doi.org/10.1109/WF-IoT.2018.8355217) has been driven along an L-shaped path. Raw data folder contains unprocessed data that has been logged from the crane OPC UA server. In the folder, data has been divided into subfolders based on the driving cycle. The descriptions of these driving cycles can be found in the file "cycle_parameters.txt". Each cycle subfolder contains log0-log9 folders that contain "DataLogger.csv" file with the logged data and tagconfig.txt that is used to connect the primary keys in the csv-file into correct variables. In addition, each cycle folder contains "CycleX_export_dataframe.csv" that includes the most important variables. These variables are: Alarm, BridgeSpeedFeedback, HoistMotorTorque, BridgePosition, BridgeRopeAngle BridgeMotorTorque, HoistSpeedFeedback, LoadTare, HoistPosition, TrolleyMotorTorque, TrolleySpeedFeedback TrolleyPosition, TrolleyRopeAngle. In the root folder, there are "combined.csv" file that contains the most important variables from all cycles combined into a single file, and "route.png" is a visualization of the path driven with the crane showing the starting point (A) and the turning point (B). Funding Agency: Business Finland Grant 3508/31/2019 and ITEA 3 Call 5 MACHINAIDE
DOI: 10.5517/ccdc.csd.cc2b9kdm
title: CCDC 2154140: Experimental Crystal Structure Determination

description: Related Article: Meng-Fan Su, Jin Tong, Xia-Yan Wang, Shu-Yan Yu|2022|J.Mol.Struct.|1268|133671|doi:10.1016/j.molstruc.2022.133671
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.cc2b9kjr
title: CCDC 2154144: Experimental Crystal Structure Determination

description: Related Article: Meng-Fan Su, Jin Tong, Xia-Yan Wang, Shu-Yan Yu|2022|J.Mol.Struct.|1268|133671|doi:10.1016/j.molstruc.2022.133671
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: 10.5281/zenodo.6907555
title: Spilornis abbotti decontaminated gx

description: .
DOI: 10.5281/zenodo.6907554
title: Spilornis abbotti decontaminated gx

description: .
DOI: 10.6084/m9.figshare.20375880.v3
title: Supplementary Material

description: Find here the DTM of difference, the units outline and videos or the experiments in Philippe et al. (2022).
DOI: 10.34740/kaggle/dsv/3988417
title: 2021 World Population (updated daily)
DOI: 10.20375/0000-000f-486c-8
title: cur_exp.csv
DOI: 10.20375/0000-000f-486d-7
title: cur_exp.sav
DOI: 10.20375/0000-000f-486e-6
title: cur_exp-values+labels.xlsx
DOI: 10.20375/0000-000f-486f-5
title: DocuDataCollection-revised.pdf
DOI: 10.20375/0000-000f-4870-2
title: MONITORING.csv
DOI: 10.20375/0000-000f-4871-1
title: MONITORING.SAV
DOI: 10.20375/0000-000f-4872-0
title: MONITORING-values+labels.xlsx
DOI: 10.5281/zenodo.6594643
title: Astronomically controlled aridity in the Sahara since at least 11 million years ago: Dataset

description: This data is associated with the manuscript: Crocker, A.J., Naafs, B.D.A., Westerhold, T. <em>et al.</em> Astronomically controlled aridity in the Sahara since at least 11 million years ago. <em>Nat. Geosci.</em> (2022). https://doi.org/10.1038/s41561-022-00990-7 All data are from Ocean Drilling Project (ODP) Site 659 and include: Elemental compositions measured by X-ray fluorescence Dust flux estimates Carbon isotopic signatures of <em>n</em>-alkanes Strontium and neodymium isotopic signatures of lithogenic material Lithogenic grain size distributions and end member compositions Splice and age model information
DOI: 10.5281/zenodo.6594642
title: Astronomically controlled aridity in the Sahara since at least 11 million years ago: Dataset

description: This data is associated with the manuscript: Crocker, A.J., Naafs, B.D.A., Westerhold, T. <em>et al.</em> Astronomically controlled aridity in the Sahara since at least 11 million years ago. <em>Nat. Geosci.</em> (2022). https://doi.org/10.1038/s41561-022-00990-7 All data are from Ocean Drilling Project (ODP) Site 659 and include: Elemental compositions measured by X-ray fluorescence Dust flux estimates Carbon isotopic signatures of <em>n</em>-alkanes Strontium and neodymium isotopic signatures of lithogenic material Lithogenic grain size distributions and end member compositions Splice and age model information
DOI: 10.6084/m9.figshare.20375880.v4
title: Supplementary Material

description: Find here the DTM of difference, the units outline and videos or the experiments in Philippe et al. (2022).
DOI: 10.48320/141878ec-a7c3-42e5-9722-950aaa2cbeb8
title: Social issues in the perception of the Russian population (Public Opinion Polls by the Levada Center)
DOI: 10.48420/20353185
title: Synchrotron I14 Beamline XRF File - Plant Roots

description: Synchrotron micro-XRF data file containing elemental maps for calcium, phosphorus, sulphur, copper, zinc, lead and uranium distribution within a root cross section of <em>Plantago lanceolata</em> (ribwort plantain). The micro-XRF maps are composite images created via the compilation of multiple 2D scans and can be helpful for others to discuss the distribution of these seven elements within different root cell layers. <br> This file can be re-analysed, measured and coloured by other users using the DAWN software (Linux compatible). An example zinc image from this scan file will become a component of a figure within a published manuscript entitled "The value of synchrotron radiation X-ray techniques to explore microscale chemistry for ecology and evolution research".
DOI: 10.48420/20353185.v2
title: Synchrotron I14 Beamline XRF File - Plant Roots

description: Synchrotron micro-XRF data file containing elemental maps for calcium, phosphorus, sulphur, copper, zinc, lead and uranium distribution within a root cross section of <em>Plantago lanceolata</em> (ribwort plantain). The micro-XRF maps are composite images created via the compilation of multiple 2D scans and can be helpful for others to discuss the distribution of these seven elements within different root cell layers. <br> This file can be re-analysed, measured and coloured by other users using the DAWN software (Linux compatible). An example zinc image from this scan file will become a component of a figure within a published manuscript entitled "The value of synchrotron radiation X-ray techniques to explore microscale chemistry for ecology and evolution research".
DOI: 10.48420/20353185.v1
title: Synchrotron I14 Beamline XRF File - Plant Roots

description: Synchrotron micro-XRF data file containing elemental maps for calcium, phosphorus, sulphur, copper, zinc, lead and uranium distribution within a root cross section of <em>Plantago lanceolata</em> (ribwort plantain). The micro-XRF maps are composite images created via the compilation of multiple 2D scans and can be helpful for others to discuss the distribution of these seven elements within different root cell layers. <br> This file can be re-analysed, measured and coloured by other users using the DAWN software (Linux compatible). An example zinc image from this scan file will become a component of a figure within a published manuscript entitled "The value of synchrotron radiation X-ray techniques to explore microscale chemistry for ecology and evolution research".
DOI: 10.5281/zenodo.6907631
title: Potamarius nelsoni RB0595 GRAHAM decontaminated gx

description: .
DOI: 10.5281/zenodo.6907630
title: Potamarius nelsoni RB0595 GRAHAM decontaminated gx

description: .
DOI: 10.6084/m9.figshare.20376420
title: OGD-driven innovation capacity

description: Key factors affecting the capacity of firms to drive innovation with OGD.
DOI: 10.6084/m9.figshare.20376420.v1
title: OGD-driven innovation capacity

description: Key factors affecting the capacity of firms to drive innovation with OGD.
DOI: 10.5519/qd.ymcjmayd
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (378 records)
DOI: 10.5281/zenodo.6907575
title: Input dataset for SANIFS configuration

description: Dataset used as input and forcing for the SANIFS forecasting system described as use case of the parallel version of the SHYFEM model. The reference of the parallel implementation of the SHYFEM model is https://doi.org/10.5281/zenodo.5596734
DOI: 10.5281/zenodo.6907574
title: Input dataset for SANIFS configuration

description: Dataset used as input and forcing for the SANIFS forecasting system described as use case of the parallel version of the SHYFEM model. The reference of the parallel implementation of the SHYFEM model is https://doi.org/10.5281/zenodo.5596734
DOI: 10.5281/zenodo.6907667
title: CH4 and CO2 dataset for the Qinghai-Tibetan Plateau rivers

description: This dataset is a collection of direct field measurement values of CH4 and CO2 concentrations and fluxes from the Qinghai-Tibetan Plateau rivers.
DOI: 10.5281/zenodo.6907666
title: CH4 and CO2 dataset for the Qinghai-Tibetan Plateau rivers

description: This dataset is a collection of direct field measurement values of CH4 and CO2 concentrations and fluxes from the Qinghai-Tibetan Plateau rivers.
DOI: 10.6084/m9.figshare.20376444
title: Rewiring of liver diurnal transcriptome rhythms by triiodothyronine (T3) supplementation

description: This dataset contains all experimental data, except for microarray data, for the manuscript.
DOI: 10.5281/zenodo.5747798
title: A Rapid and Simple UHPLC-MS/MS Method for Quantification of Plasma Globotriaosylsphingosine (lyso-Gb3)

description: Fabry disease (FD) is a rare X-linked lysosomal storage disorder caused by α-galactosidase A gene (GLA) mutations, resulting in loss of activity of the lysosomal hydrolase, α-galactosidase A (α-Gal A). As a result, the main glycosphingolipid substrates, globotriaosylceramide (Gb3) and globotriaosylsphingosine (lyso-Gb3), accumulate in plasma, urine, and tissues. Here, we propose a simple, fast, and sensitive method for plasma quantification of lyso-Gb3, the most promising secondary screening target for FD. Assisted protein precipitation with methanol using Phree cartridges was performed as sample pre-treatment and plasma concentrations were measured using UHPLC-MS/MS operating in MRM positive electrospray ionization. Method validation provided excellent results for the whole calibration range (0.25–100 ng/mL). Intra-assay and inter-assay accuracy and precision (CV%) were calculated as &lt;10%. The method was successfully applied to 55 plasma samples obtained from 34 patients with FD, 5 individuals carrying non-relevant polymorphisms of the GLA gene, and 16 healthy controls. Plasma lyso-Gb3 concentrations were larger in both male and female FD groups compared to healthy subjects (<em>p </em>&lt; 0.001). Normal levels of plasma lyso-Gb3 were observed for patients carrying non-relevant mutations of the GLA gene compared to the control group (<em>p </em>= 0.141). Dropping the lower limit of quantification (LLOQ) to 0.25 ng/mL allowed us to set the optimal plasma lyso-Gb3 cut-off value between FD patients and healthy controls at 0.6 ng/mL, with a sensitivity of 97.1%, specificity of 100%, and accuracy of 0.998 expressed by the area under the ROC curve (C.I. 0.992 to 1.000, <em>p</em>-value &lt; 0.001). Based on the results obtained, this method can be a reliable tool for early phenotypic assignment, assessing diagnoses in patients with borderline GalA activity, and confirming non-relevant mutations of the GLA gene.