cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.13120/a51003ee-d2ab-4b6c-a4ca-c95d1d872018
title: Mediterranean Sea - Eutrophication and Acidity aggregated datasets 1911/2022 v2022
title: Mediterranean_Sea_-_Eutrophication_and_Acidity_aggregated_datasets_1911/2022_v2022

description: EMODnet Chemistry aims to provide access to marine chemistry datasets and derived data products concerning eutrophication, acidity and contaminants. The importance of the selected substances and other parameters relates to the Marine Strategy Framework Directive (MSFD). This aggregated dataset contains all unrestricted EMODnet Chemistry data on eutrophication and acidity, and covers the Mediterranean Sea. Data were aggregated and quality controlled by the 'Hellenic Centre for Marine Research, Hellenic National Oceanographic Data Centre (HCMR/HNODC)' in Greece. ITS-90 water temperature and water body salinity variables have also been included ('as are') to complete the eutrophication and acidity data. If you use these variables for calculations, please refer to SeaDataNet for the quality flags: https://www.seadatanet.org/Products/Aggregated-datasets. Regional datasets concerning eutrophication and acidity are automatically harvested, and the resulting collections are aggregated and quality controlled using ODV Software and following a common methodology for all sea regions (https://doi.org/10.13120/8xm0-5m67). Parameter names are based on P35 vocabulary, which relates to EMODnet Chemistry aggregated parameter names and is available at: https://vocab.nerc.ac.uk/search_nvs/P35/. When not present in original data, water body nitrate plus nitrite was calculated by summing all nitrate and nitrite parameters. The same procedure was applied for water body dissolved inorganic nitrogen (DIN), which was calculated by summing all nitrate, nitrite, and ammonium parameters. Concentrations per unit mass were converted to a unit volume using a constant density of 1.25 kg/L. The aggregated dataset can also be downloaded as an ODV collection and spreadsheet, which is composed of a metadata header followed by tab separated values. This spreadsheet can be imported to ODV Software for visualisation (more information can be found at: https://www.seadatanet.org/Software/ODV).
DOI: 10.13120/53324d91-2dbe-4e76-ba76-a4f719c7ea3c
title: North East Atlantic Ocean - Contaminants aggregated datasets 1966/2021 v2022
title: North_East_Atlantic_Ocean_Contaminants_aggregated_datasets_1966/2021_v2022

description: EMODnet Chemistry aims to provide access to marine chemistry datasets and derived data products concerning eutrophication, acidity and contaminants. The importance of the selected substances and other parameters relates to the Marine Strategy Framework Directive (MSFD). This aggregated dataset contains all unrestricted EMODnet Chemistry data on potential hazardous substances, despite the fact that some data might not be related to pollution (e.g. collected by deep corer). Temperature, salinity and additional parameters are included when available. It covers the Northeast Atlantic Ocean (40W). Data were harmonised and validated by the '‘IFREMER / IDM / SISMER - Scientific Information Systems for the SEA’ in France. The dataset contains water (profiles), sediment (profiles and timeseries) and biota (profiles and timeseries). The temporal coverage is 1974–2018 for water measurements, 1966–2014 for sediment measurements and 1979–2021 for biota measurements. Regional datasets concerning contaminants are automatically harvested and the resulting collections are harmonised and validated using ODV Software and following a common methodology for all sea regions ( https://doi.org/10.6092/8b52e8d7-dc92-4305-9337-7634a5cae3f4). Parameter names are based on P01 vocabulary, which relates to BODC Parameter Usage Vocabulary and is available at: https://vocab.nerc.ac.uk/search_nvs/P01/. The harmonised dataset can be downloaded as as an ODV spreadsheet, which is composed of a metadata header followed by tab separated values. This spreadsheet can be imported into ODV Software for visualisation (more information can be found at: https://www.seadatanet.org/Software/ODV). In addition, the same dataset is offered also as a txt file in a long/vertical format, in which each P01 measurement is a record line. Additionally, there are a series of columns that split P01 terms into subcomponents (substance, CAS number, matrix...).This transposed format is more adapted to worksheet applications (e.g. LibreOffice Calc).
DOI: 10.13120/5c1d0b65-98fc-4a02-9c2c-3be347cd6ebf
title: North East Atlantic Ocean - Eutrophication and Acidity aggregated datasets 1921/2021 v2022
title: EMODNET_CHEMISTRY_North_East_Atlantic_Ocean_-_Eutrophication_and_Acidity_aggregated_datasets_1921/2021_v2022

description: EMODnet Chemistry aims to provide access to marine chemistry datasets and derived data products concerning eutrophication, acidity and contaminants. The importance of the selected substances and other parameters relates to the Marine Strategy Framework Directive (MSFD). This aggregated dataset contains all unrestricted EMODnet Chemistry data on eutrophication and acidity, and covers the Northeast Atlantic Ocean (40W). Data were aggregated and quality controlled by 'IFREMER / IDM / SISMER - Scientific Information Systems for the SEA' in France. ITS-90 water temperature and water body salinity variables have also been included ('as are') to complete the eutrophication and acidity data. If you use these variables for calculations, please refer to SeaDataNet for the quality flags: https://www.seadatanet.org/Products/Aggregated-datasets. Regional datasets concerning eutrophication and acidity are automatically harvested, and the resulting collections are aggregated and quality controlled using ODV Software and following a common methodology for all sea regions ( https://doi.org/10.13120/8xm0-5m67). Parameter names are based on P35 vocabulary, which relates to EMODnet Chemistry aggregated parameter names and is available at: https://vocab.nerc.ac.uk/search_nvs/P35/. When not present in original data, water body nitrate plus nitrite was calculated by summing all nitrate and nitrite parameters. The same procedure was applied for water body dissolved inorganic nitrogen (DIN), which was calculated by summing all nitrate, nitrite, and ammonium parameters. Concentrations per unit mass were converted to a unit volume using a constant density of 1.25 kg/L. The aggregated dataset can also be downloaded as an ODV collection and spreadsheet, which is composed of a metadata header followed by tab separated values. This spreadsheet can be imported to ODV Software for visualisation (more information can be found at: https://www.seadatanet.org/Software/ODV).
DOI: 10.6084/m9.figshare.23047103.v1
title: Supplementary Material for: Levonorgestrel as a Potential Trigger of Acute Bilateral Central Serous Chorioretinopathy: Case Report

description: This is a first ever report describing a case of acute bilateral central serous chorioretinopathy which developed shortly after the consumption of levonorgestrel as emergency contraception. A 27-year-old female patient visited the emergency department of the clinic due to diminished visual acuity in both eyes. She had taken a single pill of levonorgestrel (1.5 mg) as emergency contraception 2 days prior. Fundus examination showed macular edema. Optical coherence tomography (OCT) revealed serous bilateral detachment of the macular retina. Fluorescein angiography showed a “smokestack” leakage of contrast in the right eye and focal macular leakage in the left eye. Ten days after oral diuretic and topical nonsteroidal anti-inflammatory drugs were prescribed, follow-up examination revealed improvement of best corrected visual acuity and OCT showed complete regression of subretinal fluid. One month and 3 months after the initial visit, the patient’s best corrected visual acuity returned to 20/20 and OCT showed no signs of subretinal fluid. This case highlights levonorgestrel as a potential trigger for this serious chorioretinal condition, thus expanding on the literature on possible risk factors and mechanisms of development for central serous chorioretinopathy.
DOI: 10.21227/f057-dw29
title: Free-breathing 2D Cartesian Cardiac MRI Datasets

description: The dataset contains ungated free-breathing cardiac MRI scans with different image resolutions and slice thicknesses. Specifically, two low-resolution scans (2.27mm x 2.26mm resolution at 264 x 186 acquisition matrix size) are available with 10mm slice thickness and isotropic slice thickness, respectively, and a high-resolution scan (1.25mm x 1.26mm resolution at 480 x 334 acquisition matrix size) with 5mm slice thickness. The scans were taken of a single healthy volunteer using a 2D Cartesian partial-Fourier sampling pattern on a 3T Philips Elition X scanner and image a short-axis view of the beating heart. The raw k-space data, sampling trajectory, and coil sensitivity maps (estimated by the scanner) are provided, as well as the cardiac phase estimated by an electrocardiogram.
DOI: 10.6084/m9.figshare.23098280.v1
title: Table S7 DEG_Sex.xlsx

description: <strong>Table S7</strong>: Gene Ontology analyses for the sn-multiome-seq based upon sex of the mouse.
DOI: 10.6084/m9.figshare.22644463.v1
title: Supplementary Material for: Anterior Chamber dislocation of dexamethasone implant in the presence of Carlevale sutureless scleral fixation intraocular lens.

description: Abstract Purpose: Dexamethasone intravitreal implant (Ozurdex®; Allergan, Inc., CA, USA) has been proved to be effective in a variety of clinical settings including cases of pseudophakic cystoid macular oedema. Uncommonly, this implant can migrate from the vitreous cavity and into the anterior chamber, especially in vitrectomized eyes with lens capsule defects. We report herein a rare case of anterior chamber migration and illustrate the passageway of the dexamethasone intravitreal implant through a new type of scleral fixated lens, the Carlevale IOL (Soleko-Italy). Observations: A 78-year-old woman was left aphakic following a complicated right eye hyper-mature cataract surgery with posterior capsule rupture and zonular dehiscence. Shortly thereafter she underwent a planned combined pars plana vitrectomy with the placement of a Carlevale sutureless scleral fixated intraocular lens for the treatment of her aphakia. Due to a subsequent persistent cystoid macular edema that was unresponsive to topical treatment and sub-tenon corticosteroids, an intravitreal dexamethasone implant was injected. Eleven days after implantation, the patient presented with a floating implant in the anterior chamber and corneal edema. Following an immediate surgical removal, both corneal edema resolved, and visual acuity improved. One year later results remain stable without macular edema recurrence. Conclusions and importance: Anterior chamber migration of Ozurdex implant is a potential complication in vitrectomized eyes, even when new type of larger and specially designed for scleral fixation intraocular lenses are utilized. Corneal complications can be reversible following an immediate removal of the implant. Keywords: Ozurdex; Dexamethasone implant; Carlevale; Scleral fixated lens; anterior chamber migration.
DOI: 10.6084/m9.figshare.23098271.v1
title: TableS6 Bulk DEG.xlsx

description: <strong>Table S6</strong>: Differentially expressed genes from the bulk kidney RNA-seq.
DOI: 10.6084/m9.figshare.23098268.v1
title: Table S5 DAC.xlsx

description: Table S5: Differentially accessible chromatin (Dehydrated/ad lib) for the kidney sn-multiome-seq.
DOI: 10.5281/zenodo.7962745
title: SciExpeM - 10.5281/zenodo.7962745

description: Sun et al., Combustion and Flame 244 (2022) 112247
DOI: 10.5281/zenodo.7962744
title: SciExpeM - 10.5281/zenodo.7962745

description: Sun et al., Combustion and Flame 244 (2022) 112247
DOI: 10.6084/m9.figshare.22838162
title: Supplementary Material for: Clinical Characterization of Demoralization

description: Medicine
DOI: 10.6092/66b4eb4d-37ef-402a-8695-b4b820bd348a
title: Combined DIVA 4D 10-year analysis of Water body dissolved oxygen concentration

description: Combined product of Water body dissolved oxygen concentration based on DIVA 4D 10-year analysis on five regions : Atlantic Sea, North Sea, Baltic Sea, Black Sea, Mediterranean Sea. The boundaries and overlapping zones between these five regions were filtered to avoid any unrealistic spatial discontinuities. This combined water body dissolved oxygen concentration product is masked using the relative error threshold 0.5. Units: umol/l."" Created by 'University of Liege, GeoHydrodynamics and Environment Research (ULg-GHER)'."" The analysis was performed per season using DIVA software tool (Data-Interpolating Variational Analysis). The analyses products are stored as NetCDF CF files and made available as WMS layers for easy browsing and adding. Every step of the time dimension corresponds to a 10-year average moving from 1985 to 2014. The depth dimension spans from surface to the seafloor with 30 vertical levels."" The data used as input for DIVA have been extracted from the EMODnet Chemistry Download Service:"" http://emodnet-chemistry.maris2.nl/v_cdi_v3/search.asp"" Intermediate regional data products:"" https://doi.org/10.6092/C61954FC-F7D9-484B-8F95-0DDFF5467EBA"" https://doi.org/10.6092/2322E908-DA41-4D5D-B55C-4C0BEA5C3B46"" https://doi.org/10.6092/5AE1F1CE-6C17-49A0-BD6C-A81A2D89173C"" https://doi.org/10.6092/ECEC7683-3B30-4522-805E-4AD499EBDCE1"" https://doi.org/10.6092/1A806969-2356-4A80-B4FE-84413FC2B03D""
DOI: 10.6092/bfad9cda-7482-4c3a-9ff7-5ee47bc27e38
title: Combined DIVA 4D 10-year analysis of Water body phosphate

description: Combined product of Water body phosphate based on DIVA 4D 10-year analysis on five regions : Atlantic Sea, North Sea, Baltic Sea, Black Sea, Mediterranean Sea. The boundaries and overlapping zones between these five regions were filtered to avoid any unrealistic spatial discontinuities. This combined water body phosphate product is masked using the relative error threshold 0.5. Units: umol/l."" Created by 'University of Liege, GeoHydrodynamics and Environment Research (ULg-GHER)'."" The analysis was performed per season using DIVA software tool (Data-Interpolating Variational Analysis). The analyses products are stored as NetCDF CF files and made available as WMS layers for easy browsing and adding. Every step of the time dimension corresponds to a 10-year average moving from 1985 to 2014. The depth dimension spans from surface to the seafloor with 30 vertical levels."" The data used as input for DIVA have been extracted from the EMODnet Chemistry Download Service:"" http://emodnet-chemistry.maris2.nl/v_cdi_v3/search.asp"" Intermediate regional data products:"" https://doi.org/10.6092/7D8C17C6-433C-4AAA-A6E8-69D496F85419"" https://doi.org/10.6092/452EED6D-70B5-4AFD-80FB-286CF76F4CE5"" https://doi.org/10.6092/A8396CA9-558D-4323-9FF1-3385CAB095D5"" https://doi.org/10.6092/0417B7D2-93DA-4B56-A81F-4100993856B7"" https://doi.org/10.6092/7ACB3267-35C5-44CD-AFCD-3286AA25A755""
DOI: 10.6084/m9.figshare.22603207
title: Supplementary Material for: Reanalysis of chromosomal microarray data using a smaller copy number variant call threshold identifies four cases with heterozygous multiexon deletions of ARID1B, EHMT1, and FOXP1 genes

description: Introduction Chromosomal microarray (CMA) is a highly accurate and established method for detecting copy number variations (CNVs) in clinical genetic testing. CNVs are important etiological factors for disorders such as intellectual disability, developmental delay, and multiple congenital anomalies. Recently developed analytical methods have facilitated the identification of smaller CNVs. Therefore, reanalyzing CMA data using a smaller CNV calling threshold may yield useful information. However, this method was left to the discretion of each institution. Methods We reanalyzed the CMA data of 131 patients using a smaller CNV call threshold: 50 kb 50 probes for gain and 25 kb 25 probes for loss. We interpreted the reanalyzed CNVs based on the most recently available information. In the reanalysis, we filtered the data using the Clinical Genome Resource dosage sensitivity gene list as an index to quickly and efficiently check morbid genes. Results The number of copy number loss was approximately 20 times greater, and copy number gain was approximately three times greater compared to those in the previous analysis. We detected new likely pathogenic CNVs in four participants: a 236.5 kb loss within ARID1B, a 50.6 kb loss including EHMT1, a 46.5 kb loss including EHMT1, and an 89.1 kb loss within the FOXP1 gene. Discussion/Conclusion The method employed in this study is simple and effective for CMA data reanalysis using a smaller CNV call threshold. Thus, this method is efficient for both ongoing and repeated analyses. This study may stimulate further discussion of reanalysis methodology in clinical laboratories.
DOI: 10.6084/m9.figshare.22603207.v1
title: Supplementary Material for: Reanalysis of chromosomal microarray data using a smaller copy number variant call threshold identifies four cases with heterozygous multiexon deletions of ARID1B, EHMT1, and FOXP1 genes

description: Introduction Chromosomal microarray (CMA) is a highly accurate and established method for detecting copy number variations (CNVs) in clinical genetic testing. CNVs are important etiological factors for disorders such as intellectual disability, developmental delay, and multiple congenital anomalies. Recently developed analytical methods have facilitated the identification of smaller CNVs. Therefore, reanalyzing CMA data using a smaller CNV calling threshold may yield useful information. However, this method was left to the discretion of each institution. Methods We reanalyzed the CMA data of 131 patients using a smaller CNV call threshold: 50 kb 50 probes for gain and 25 kb 25 probes for loss. We interpreted the reanalyzed CNVs based on the most recently available information. In the reanalysis, we filtered the data using the Clinical Genome Resource dosage sensitivity gene list as an index to quickly and efficiently check morbid genes. Results The number of copy number loss was approximately 20 times greater, and copy number gain was approximately three times greater compared to those in the previous analysis. We detected new likely pathogenic CNVs in four participants: a 236.5 kb loss within ARID1B, a 50.6 kb loss including EHMT1, a 46.5 kb loss including EHMT1, and an 89.1 kb loss within the FOXP1 gene. Discussion/Conclusion The method employed in this study is simple and effective for CMA data reanalysis using a smaller CNV call threshold. Thus, this method is efficient for both ongoing and repeated analyses. This study may stimulate further discussion of reanalysis methodology in clinical laboratories.
DOI: 10.6092/79adccec-d674-4c6e-a1c9-e39d3f749953
title: Combined DIVA 4D 10-year analysis of Water body silicate

description: Combined product of Water body silicate based on DIVA 4D 10-year analysis on five regions : Atlantic Sea, North Sea, Baltic Sea, Black Sea, Mediterranean Sea. The boundaries and overlapping zones between these five regions were filtered to avoid any unrealistic spatial discontinuities. This combined water body silicate product is masked using the relative error threshold 0.5. Units: umol/l."" Created by 'University of Liege, GeoHydrodynamics and Environment Research (ULg-GHER)'."" The analysis was performed per season using DIVA software tool (Data-Interpolating Variational Analysis). The analyses products are stored as NetCDF CF files and made available as WMS layers for easy browsing and adding. Every step of the time dimension corresponds to a 10-year average moving from 1985 to 2014. The depth dimension spans from surface to the seafloor with 30 vertical levels."" The data used as input for DIVA have been extracted from the EMODnet Chemistry Download Service:"" http://emodnet-chemistry.maris2.nl/v_cdi_v3/search.asp"" Intermediate regional data products:"" https://doi.org/10.6092/F1D2F12A-B939-4AFA-A476-43EECBF7AFEF"" https://doi.org/10.6092/47BE2153-72EF-444B-9FB9-4D21BFCA0AB9"" https://doi.org/10.6092/8835D4D8-120C-4FB9-9F4B-EFEA6990F743"" https://doi.org/10.6092/9BB61056-74C7-41EB-8A78-2F05CE1A7C3C"" https://doi.org/10.6092/27493D58-8A13-47D8-BD8D-2DA27901AC9D""
DOI: 10.5517/ccdc.csd.cc2bv43g
title: CCDC 2170065: Experimental Crystal Structure Determination

description: Related Article: Xinyue Hu, Long Chen, Hongye Li, Qifan Xu, Xiaohua Liu, Xiaoming Feng|2023|ACS Catalysis|13|6675|doi:10.1021/acscatal.2c05888
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: 10.6084/m9.figshare.23098526
title: Roehri_signal.mat

description: The data used by Mirzakhalili <em>et al. IEEE NER</em> (2023) to validate their HFO detector, which is avialbale on Github. <br> The data was originaly published by Roehri <em>et al. PloS One. (2017)</em> as a benchmark dataset for detecting HFOs.
DOI: 10.6084/m9.figshare.23098526.v1
title: Roehri_signal.mat

description: The data used by Mirzakhalili <em>et al. IEEE NER</em> (2023) to validate their HFO detector, which is avialbale on Github. <br> The data was originaly published by Roehri <em>et al. PloS One. (2017)</em> as a benchmark dataset for detecting HFOs.
DOI: 10.5517/ccdc.csd.cc2dh0hf
title: CCDC 2218964: Experimental Crystal Structure Determination

description: Related Article: Madan Kumar, Avijit Goswami|2023|Org.Lett.|25|3254|doi:10.1021/acs.orglett.3c00987
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.cc2dqqsn
title: CCDC 2226382: Experimental Crystal Structure Determination

description: Related Article: Zhi-Kang Wang, Ming-Hao Du, Pierre Braunstein, Jian-Ping Lang|2023|J.Am.Chem.Soc.|145|9982|doi:10.1021/jacs.3c01831
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.cc2dqqtp
title: CCDC 2226383: Experimental Crystal Structure Determination

description: Related Article: Zhi-Kang Wang, Ming-Hao Du, Pierre Braunstein, Jian-Ping Lang|2023|J.Am.Chem.Soc.|145|9982|doi:10.1021/jacs.3c01831
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.cc2dqqvq
title: CCDC 2226384: Experimental Crystal Structure Determination

description: Related Article: Zhi-Kang Wang, Ming-Hao Du, Pierre Braunstein, Jian-Ping Lang|2023|J.Am.Chem.Soc.|145|9982|doi:10.1021/jacs.3c01831
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.