cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.5034496
title: Fine-scale variation in projected climate change presents opportunities for biodiversity conservation in Europe

description: We use a multi-model ensemble of regional climate models to identify areas with significantly high and low climate stability persistent throughout the 21<sup>st</sup> century in Europe. Here we present a set of raster files that contain discrete zones of climatic stability and instability, also referred to as hotspots and coldspots. Our analysis of future climatic stability was based on projected changes of nine climate variables selected to proxy key aspects of terrestrial ecosystem dynamics. The underlying climate projection, including different indices, are available at https://zenodo.org/record/3952159#.YNWN_OgzaUl. The cumulative change of all nine climate variables, termed Aggregate Climate Change (ACC), is used to identify regions of significantly higher or lower climatic stability (Getis-Ord Gi* p-value &lt; 0.05) across Europe. We carry out this assessment at the continental and regional scales. While the continental assessment reports the large-scale latitudinal and orographic patterns of climatic stability, the regional assessment explores the residual ACC variation that remained after extracting the large-scale continental trend. The raster files present climatic features that were identified to persist in their location throughout the 21<sup>st</sup> century (i.e., in periods 2021-2040, 2041-2060, and 2061-2100) and were supported by a majority of climate projections considered in this study. Specifically, we considered five GCM-RCM pairs driven by two RCP scenarios, RCP4.5 and RCP8.5. The targeted areas of climatic stability were required to be confirmed by four out of five climate models nested within each RCP, at least. The used naming convention is as follows: Scale – Global, Regional Type of the zone – HotSpot (zone of significantly low climatic stability), ColdSpot (zone of significantly high climatic stability) Driving RCP scenario – RCP45, RCP85 Raster files with RCP indicated in their name refer to either RCP4.5 or RCP8.5. These files contain two values referring to the presence (1) or absence (0) of climatic stability areas: Global_HotSpots _RCP45 Global_ColdSpots _RCP45 Regional_HotSpots _RCP45 Regional_ColdSpots _RCP45 Global_HotSpots _RCP85 Global_ColdSpots _RCP85 Regional_HotSpots _RCP85 Regional_ColdSpots _RCP85 Raster files without RCP code in their name contain combinations of both RCPs. The cell values indicate absence (0), presence in RCP4.5 OR RCP8.5 (1), or presence in RCP4.5 AND RCP8.5 (2) of climatic stability areas: Global_HotSpots Global_ColdSpots Regional_HotSpots Regional_ColdSpots The format of raster files is tiff. All data are in the GCS_WGS_1984 geographic coordinate system.
DOI: 10.5281/zenodo.5034495
title: Fine-scale variation in projected climate change presents opportunities for biodiversity conservation in Europe

description: We use a multi-model ensemble of regional climate models to identify areas with significantly high and low climate stability persistent throughout the 21<sup>st</sup> century in Europe. Here we present a set of raster files that contain discrete zones of climatic stability and instability, also referred to as hotspots and coldspots. Our analysis of future climatic stability was based on projected changes of nine climate variables selected to proxy key aspects of terrestrial ecosystem dynamics. The underlying climate projection, including different indices, are available at https://zenodo.org/record/3952159#.YNWN_OgzaUl. The cumulative change of all nine climate variables, termed Aggregate Climate Change (ACC), is used to identify regions of significantly higher or lower climatic stability (Getis-Ord Gi* p-value &lt; 0.05) across Europe. We carry out this assessment at the continental and regional scales. While the continental assessment reports the large-scale latitudinal and orographic patterns of climatic stability, the regional assessment explores the residual ACC variation that remained after extracting the large-scale continental trend. The raster files present climatic features that were identified to persist in their location throughout the 21<sup>st</sup> century (i.e., in periods 2021-2040, 2041-2060, and 2061-2100) and were supported by a majority of climate projections considered in this study. Specifically, we considered five GCM-RCM pairs driven by two RCP scenarios, RCP4.5 and RCP8.5. The targeted areas of climatic stability were required to be confirmed by four out of five climate models nested within each RCP, at least. The used naming convention is as follows: Scale – Global, Regional Type of the zone – HotSpot (zone of significantly low climatic stability), ColdSpot (zone of significantly high climatic stability) Driving RCP scenario – RCP45, RCP85 Raster files with RCP indicated in their name refer to either RCP4.5 or RCP8.5. These files contain two values referring to the presence (1) or absence (0) of climatic stability areas: Global_HotSpots _RCP45 Global_ColdSpots _RCP45 Regional_HotSpots _RCP45 Regional_ColdSpots _RCP45 Global_HotSpots _RCP85 Global_ColdSpots _RCP85 Regional_HotSpots _RCP85 Regional_ColdSpots _RCP85 Raster files without RCP code in their name contain combinations of both RCPs. The cell values indicate absence (0), presence in RCP4.5 OR RCP8.5 (1), or presence in RCP4.5 AND RCP8.5 (2) of climatic stability areas: Global_HotSpots Global_ColdSpots Regional_HotSpots Regional_ColdSpots The format of raster files is tiff. All data are in the GCS_WGS_1984 geographic coordinate system.
DOI: 10.6084/m9.figshare.14852418
title: Influence Themes and Case Studies Mapping.xlsx

description: This is a dataset containing informant profiles, customer profiles, case studies summary for 41 projects
DOI: 10.6084/m9.figshare.14852418.v1
title: Influence Themes and Case Studies Mapping.xlsx

description: This is a dataset containing informant profiles, customer profiles, case studies summary for 41 projects
DOI: 10.5517/ccdc.csd.cc26m01x
title: CCDC 2044048: Experimental Crystal Structure Determination

description: Related Article: Sergei Lebedkin, Florian Weigend, Andreas Eichhöfer|2021|Inorg.Chem.|60|8936|doi:10.1021/acs.inorgchem.1c00829
DOI: 10.5517/ccdc.csd.cc26m02y
title: CCDC 2044049: Experimental Crystal Structure Determination

description: Related Article: Sergei Lebedkin, Florian Weigend, Andreas Eichhöfer|2021|Inorg.Chem.|60|8936|doi:10.1021/acs.inorgchem.1c00829
DOI: 10.5517/ccdc.csd.cc26m03z
title: CCDC 2044050: Experimental Crystal Structure Determination

description: Related Article: Sergei Lebedkin, Florian Weigend, Andreas Eichhöfer|2021|Inorg.Chem.|60|8936|doi:10.1021/acs.inorgchem.1c00829
DOI: 10.5517/ccdc.csd.cc26m040
title: CCDC 2044051: Experimental Crystal Structure Determination

description: Related Article: Sergei Lebedkin, Florian Weigend, Andreas Eichhöfer|2021|Inorg.Chem.|60|8936|doi:10.1021/acs.inorgchem.1c00829
DOI: 10.5517/ccdc.csd.cc26m051
title: CCDC 2044052: Experimental Crystal Structure Determination

description: Related Article: Sergei Lebedkin, Florian Weigend, Andreas Eichhöfer|2021|Inorg.Chem.|60|8936|doi:10.1021/acs.inorgchem.1c00829
DOI: 10.5517/ccdc.csd.cc26pmq8
title: CCDC 2046580: Experimental Crystal Structure Determination

description: Related Article: Zhen Lei, Jiao-Jiao Li, Zi-Ang Nan, Zhan-Guo Jiang, Quan-Ming Wang|2021|Angew.Chem.,Int.Ed.|60|14415|doi:10.1002/anie.202103290
DOI: 10.5517/ccdc.csd.cc26pmr9
title: CCDC 2046581: Experimental Crystal Structure Determination

description: Related Article: Zhen Lei, Jiao-Jiao Li, Zi-Ang Nan, Zhan-Guo Jiang, Quan-Ming Wang|2021|Angew.Chem.,Int.Ed.|60|14415|doi:10.1002/anie.202103290
DOI: 10.5517/ccdc.csd.cc26pmsb
title: CCDC 2046582: Experimental Crystal Structure Determination

description: Related Article: Zhen Lei, Jiao-Jiao Li, Zi-Ang Nan, Zhan-Guo Jiang, Quan-Ming Wang|2021|Angew.Chem.,Int.Ed.|60|14415|doi:10.1002/anie.202103290
DOI: 10.5517/ccdc.csd.cc26pmtc
title: CCDC 2046583: Experimental Crystal Structure Determination

description: Related Article: Zhen Lei, Jiao-Jiao Li, Zi-Ang Nan, Zhan-Guo Jiang, Quan-Ming Wang|2021|Angew.Chem.,Int.Ed.|60|14415|doi:10.1002/anie.202103290
DOI: 10.5517/ccdc.csd.cc26pmvd
title: CCDC 2046584: Experimental Crystal Structure Determination

description: Related Article: Zhen Lei, Jiao-Jiao Li, Zi-Ang Nan, Zhan-Guo Jiang, Quan-Ming Wang|2021|Angew.Chem.,Int.Ed.|60|14415|doi:10.1002/anie.202103290
DOI: 10.5517/ccdc.csd.cc26pmwf
title: CCDC 2046585: Experimental Crystal Structure Determination

description: Related Article: Zhen Lei, Jiao-Jiao Li, Zi-Ang Nan, Zhan-Guo Jiang, Quan-Ming Wang|2021|Angew.Chem.,Int.Ed.|60|14415|doi:10.1002/anie.202103290
DOI: 10.5517/ccdc.csd.cc26pmxg
title: CCDC 2046586: Experimental Crystal Structure Determination

description: Related Article: Zhen Lei, Jiao-Jiao Li, Zi-Ang Nan, Zhan-Guo Jiang, Quan-Ming Wang|2021|Angew.Chem.,Int.Ed.|60|14415|doi:10.1002/anie.202103290
DOI: 10.14272/dbzflkmlgvamtf-uhfffaoysa-n/chmo0000480
title: electron ionisation mass spectrometry (EI-MS) (5-tricyclo[8.2.2.24,7]hexadeca-1(13),4,6,10(14),11,15-hexaenylmethanol)
title: InChI=1S/C17H18O/c18-12-17-11-15-6-5-13-1-3-14(4-2-13)7-9-16(17)10-8-15/h1-4,8,10-11,18H,5-7,9,12H2

description: dataset for electron ionisation mass spectrometry (EI-MS) MS (EI, 70 eV, 60 °C, %) m/z = 239 (7) [M+H]+, 238 (45/100/51) [M]+, 134 (46) [M–C8H8]+, 105 (100) [C8H9]+, 104 (81) [C8H8]+.HRMS (EI, [M]+, C17H18O) calcd.: 238.1352; found: 238.1351.
DOI: 10.14272/dbzflkmlgvamtf-uhfffaoysa-n/chmo0000593
title: 1H nuclear magnetic resonance spectroscopy (1H NMR) (5-tricyclo[8.2.2.24,7]hexadeca-1(13),4,6,10(14),11,15-hexaenylmethanol)
title: InChI=1S/C17H18O/c18-12-17-11-15-6-5-13-1-3-14(4-2-13)7-9-16(17)10-8-15/h1-4,8,10-11,18H,5-7,9,12H2

description: dataset for 1H nuclear magnetic resonance spectroscopy (1H NMR) 1H NMR (500 MHz, CDCl3, ppm) δ = 6.61 (dd, J = 7.9, 1.9 Hz, 1H, HAr), 6.56–6.45 (m, 4H, HAr), 6.41–6.37 (m, 2H, HAr), 4.71 (dd, J = 12.8, 6.0 Hz, 1H, CH2OH), 4.38 (d, J = 12.8 Hz, 1H, CH2OH), 3.40 (ddd, J = 13.0, 10.0, 2.4 Hz, 1H, HPCP), 3.19–2.96 (m, 6H, HPCP), 2.87 (ddd, J = 13.3, 10.7, 5.8 Hz, 1H, HPCP), 1.41 (s, 1H, CH2OH).
DOI: 10.14272/dbzflkmlgvamtf-uhfffaoysa-n/chmo0000630
title: infrared absorption spectroscopy (IR) (5-tricyclo[8.2.2.24,7]hexadeca-1(13),4,6,10(14),11,15-hexaenylmethanol)
title: InChI=1S/C17H18O/c18-12-17-11-15-6-5-13-1-3-14(4-2-13)7-9-16(17)10-8-15/h1-4,8,10-11,18H,5-7,9,12H2

description: dataset for infrared absorption spectroscopy (IR) IR (ATR, ṽ) = 3233 (w), 3223 (w), 3199 (w), 3186 (w), 3067 (w), 3050 (w), 3030 (w), 3024 (w), 3007 (w), 2989 (w), 2973 (w), 2945 (w), 2924 (m), 2888 (w), 2849 (m), 1592 (w), 1499 (w), 1449 (w), 1432 (w), 1414 (m), 1360 (w), 1228 (w), 1211 (w), 1140 (w), 1108 (w), 1050 (w), 1020 (vs), 987 (m), 975 (w), 931 (w), 899 (m), 866 (s), 812 (w), 795 (m), 758 (m), 742 (w), 715 (vs), 683 (m), 646 (s), 605 (s), 568 (w), 514 (m), 490 (s), 431 (w), 385 (w) cm–1.
DOI: 10.14272/dbzflkmlgvamtf-uhfffaoysa-n/chmo0000595
title: 13C nuclear magnetic resonance spectroscopy (13C NMR) (5-tricyclo[8.2.2.24,7]hexadeca-1(13),4,6,10(14),11,15-hexaenylmethanol)
title: InChI=1S/C17H18O/c18-12-17-11-15-6-5-13-1-3-14(4-2-13)7-9-16(17)10-8-15/h1-4,8,10-11,18H,5-7,9,12H2

description: dataset for 13C nuclear magnetic resonance spectroscopy (13C NMR) 13C NMR (126 MHz, CDCl3, ppm) δ = 140.3 (Cq, CAr), 139.8 (Cq, CAr), 139.6 (Cq, CAr), 139.3 (Cq, CAr), 137.5 (Cq, CAr), 135.0 (+, CH, CAr), 133.4 (+, CH, CAr), 133.3 (+, CH, CAr), 132.4 (+, CH, CAr), 132.2 (+, CH, CAr), 132.1 (+, CH, CAr), 129.1 (+, CH, CAr), 64.5 (–, CH2, CH2OH), 35.3 (–, CH2), 35.1 (–, CH2), 34.4 (–, CH2), 32.8 (–, CH2).
DOI: 10.14272/dbzflkmlgvamtf-uhfffaoysa-n.1
title: C17H18O
title: InChI=1S/C17H18O/c18-12-17-11-15-6-5-13-1-3-14(4-2-13)7-9-16(17)10-8-15/h1-4,8,10-11,18H,5-7,9,12H2

description: This dataset contains experimental data from a sample (5-tricyclo[8.2.2.24,7]hexadeca-1(13),4,6,10(14),11,15-hexaenylmethanol, InChI=1S/C17H18O/c18-12-17-11-15-6-5-13-1-3-14(4-2-13)7-9-16(17)10-8-15/h1-4,8,10-11,18H,5-7,9,12H2). The datasets from the following experiments are available: infrared absorption spectroscopy (IR) electron ionisation mass spectrometry (EI-MS) 1H nuclear magnetic resonance spectroscopy (1H NMR) 13C nuclear magnetic resonance spectroscopy (13C NMR)
DOI: 10.5281/zenodo.5034571
title: Cowpea

description: DArT Genotyping data
DOI: 10.5281/zenodo.5034570
title: Cowpea

description: DArT Genotyping data
DOI: 10.5281/zenodo.5034523
title: Leaf traits Plantago major, urban sidewalk, city park and nature reserve populations

description: These measurements include the raw data on the petiole and lamina length and width of Plantago major populations growing within city parks, urban sidewalks or nature reserves in the Netherlands. The data was collected between 12-04-2021 and 07-05-2021 by Roman Beukema. The dataset includes both GPS longitude and latitude locations from each sample, as well as the lamina and petiole length and width in millimeters precise.
DOI: 10.5281/zenodo.5034522
title: Leaf traits Plantago major, urban sidewalk, city park and nature reserve populations

description: These measurements include the raw data on the petiole and lamina length and width of Plantago major populations growing within city parks, urban sidewalks or nature reserves in the Netherlands. The data was collected between 12-04-2021 and 07-05-2021 by Roman Beukema. The dataset includes both GPS longitude and latitude locations from each sample, as well as the lamina and petiole length and width in millimeters precise.
DOI: 10.5517/ccdc.csd.cc27h4gc
title: CCDC 2070132: Experimental Crystal Structure Determination

description: Related Article: Junki Ochi, Kazuo Tanaka, Yoshiki Chujo|2021|Inorg.Chem.|60|8990|doi:10.1021/acs.inorgchem.1c00901
DOI: 10.5517/ccdc.csd.cc27h4hd
title: CCDC 2070133: Experimental Crystal Structure Determination

description: Related Article: Junki Ochi, Kazuo Tanaka, Yoshiki Chujo|2021|Inorg.Chem.|60|8990|doi:10.1021/acs.inorgchem.1c00901
DOI: 10.5517/ccdc.csd.cc27h4jf
title: CCDC 2070134: Experimental Crystal Structure Determination

description: Related Article: Junki Ochi, Kazuo Tanaka, Yoshiki Chujo|2021|Inorg.Chem.|60|8990|doi:10.1021/acs.inorgchem.1c00901
DOI: 10.5517/ccdc.csd.cc27j4yw
title: CCDC 2071108: Experimental Crystal Structure Determination

description: Related Article: Fulin Zhou, Zhenmei Huang, Zhongyan Huang, Rui Cheng, Yudong Yang, Jingsong You|2021|Org.Lett.|23|4559|doi:10.1021/acs.orglett.1c01212
DOI: 10.5517/ccdc.csd.cc27h4kg
title: CCDC 2070135: Experimental Crystal Structure Determination

description: Related Article: Junki Ochi, Kazuo Tanaka, Yoshiki Chujo|2021|Inorg.Chem.|60|8990|doi:10.1021/acs.inorgchem.1c00901
DOI: 10.12751/g-node.yoy0z6
title: Multi-Sequence Average Templates for Aging and Neurodegenerative Disease Populations

description: The present repository contains multi-sequence (T1-weighted, T2-weighted, Proton Density, T2*-weighted, and FLuid Attenuated Inversion Recovery) average templates of eleven diagnostic groups, including Alzheimer’s Dementia (AD), Fronto-temporal Dementia (FTD), Lewy Body Dementia (LBD), Mild Cognitive Impairment (MCI), cognitively intact and impaired Parkinson’s Disease patients (PD-CIE and PD-CI, respectively), individuals with Subjective Cognitive Impairment (SCI), AD with vascular contribution (V-AD), Vascular Mild Cognitive Impairment (V-MCI), Cognitively Intact Elderly (CIE) individuals, as well as a human phantom. We also provide separate templates for males and females in each diagnostic category, to allow better representation of the impact of the disease for each sex group.
DOI: 10.21227/f3b3-pt89
title: SAR-harbor-dateset

description: AAA
DOI: 10.5281/zenodo.5029598
title: Data set accompanying the research article "Complete representation of action space and value in all striatal pathways"

description: GCaMP6s calcium imaging data set recorded from freely behaving mice performing open field and 2-choice decision-making tasks using miniscopes. Mice were implanted in the right dorsomedial striatum and three types of output neurons were genetically targeted using transgenic Cre-lines. The data set comprises single-cell spatial filters and calcium activity traces extracted using CaImAn (https://github.com/flatironinstitute/CaImAn) as well as behavioral event logs and tracking coordinates. For more details please refer to the article "Complete representation of action space and value in all striatal pathways" published by the data sets' authors. Analysis code can be found at https://doi.org/10.5281/zenodo.5034618.
DOI: 10.5281/zenodo.5029597
title: Data set accompanying the research article "Complete representation of action space and value in all striatal pathways"

description: GCaMP6s calcium imaging data set recorded from freely behaving mice performing open field and 2-choice decision-making tasks using miniscopes. Mice were implanted in the right dorsomedial striatum and three types of output neurons were genetically targeted using transgenic Cre-lines. The data set comprises single-cell spatial filters and calcium activity traces extracted using CaImAn (https://github.com/flatironinstitute/CaImAn) as well as behavioral event logs and tracking coordinates. For more details please refer to the article "Complete representation of action space and value in all striatal pathways" published by the data sets' authors. Analysis code can be found at https://doi.org/10.5281/zenodo.5034618.
DOI: 10.5281/zenodo.5034621
title: Medical Students' Perceptions of a Curricular Shift at a South African University: from problem-based learning to modified case-based learning

description: <strong>Introduction:</strong> Problem-based learning (PBL) and case-based learning (CBL) are two widely used pedagogical approaches to small-group learning (SGL) in medical education. They offer comparable learner benefits; however, the implementation of these approaches vary considerably, resulting in institution-specific educational outcomes and learner experiences. The aim of this study was to evaluate the delivery of these two teaching methods at a single university in South Africa in the context of a curriculum shift in response to local pedagogical needs and resource constraints. <strong>Method: </strong>Medical Students at the University of the Witwatersrand were surveyed in their final year of the curriculum (MBBCh Year 6) regarding their experiences of both PBL and modified-CBL (mCBL) during their preclinical years (MBBCh Year 3 and Year 4 respectively). A total of 322 students were invited to complete a questionnaire designed to identify their educational background (whether graduate entry or high-school leaver) and their perceptions of PBL in comparison to mCBL as well as potential improvements to both pedagogies. <strong>Results: </strong>There was no significant difference between students who preferred PBL (<em>n</em>=63, 34.1%), mCBL (<em>n</em>=64, 34.6%), or ‘neither’ (<em>n</em>=58, 31.4%) mode of study (<em>P</em> = 0.449). Where students found that the respective learning method prepared them for clinical practice, they were more than twice as likely to select that method over neither option (PBL OR 3.3; 95% CI 1.6-6.8 P=0.001) (mCBL OR 2.3; 95% CI 1.2-4.5 P=0.014). Furthermore, the majority of the students agreed that the background and expertise of facilitators were important to their learning experiences. For both PBL and mCBL, 79% of students preferred clinician facilitators and facilitators who were content experts (PBL - 77% and mCBL - 81%). <strong>Conclusions: </strong>Medical students who experienced a curricular transition between two SGL methods did not prefer either teaching method over the other. This study highlights the need for institutions to explore and address context-specific challenges and expectations around SGL implementation both before and after adopting any curricular change.
DOI: 10.5281/zenodo.5034620
title: Medical Students' Perceptions of a Curricular Shift at a South African University: from problem-based learning to modified case-based learning

description: <strong>Introduction:</strong> Problem-based learning (PBL) and case-based learning (CBL) are two widely used pedagogical approaches to small-group learning (SGL) in medical education. They offer comparable learner benefits; however, the implementation of these approaches vary considerably, resulting in institution-specific educational outcomes and learner experiences. The aim of this study was to evaluate the delivery of these two teaching methods at a single university in South Africa in the context of a curriculum shift in response to local pedagogical needs and resource constraints. <strong>Method: </strong>Medical Students at the University of the Witwatersrand were surveyed in their final year of the curriculum (MBBCh Year 6) regarding their experiences of both PBL and modified-CBL (mCBL) during their preclinical years (MBBCh Year 3 and Year 4 respectively). A total of 322 students were invited to complete a questionnaire designed to identify their educational background (whether graduate entry or high-school leaver) and their perceptions of PBL in comparison to mCBL as well as potential improvements to both pedagogies. <strong>Results: </strong>There was no significant difference between students who preferred PBL (<em>n</em>=63, 34.1%), mCBL (<em>n</em>=64, 34.6%), or ‘neither’ (<em>n</em>=58, 31.4%) mode of study (<em>P</em> = 0.449). Where students found that the respective learning method prepared them for clinical practice, they were more than twice as likely to select that method over neither option (PBL OR 3.3; 95% CI 1.6-6.8 P=0.001) (mCBL OR 2.3; 95% CI 1.2-4.5 P=0.014). Furthermore, the majority of the students agreed that the background and expertise of facilitators were important to their learning experiences. For both PBL and mCBL, 79% of students preferred clinician facilitators and facilitators who were content experts (PBL - 77% and mCBL - 81%). <strong>Conclusions: </strong>Medical students who experienced a curricular transition between two SGL methods did not prefer either teaching method over the other. This study highlights the need for institutions to explore and address context-specific challenges and expectations around SGL implementation both before and after adopting any curricular change.
DOI: 10.6084/m9.figshare.14852508.v1
title: compl.incompl.95.fna.gz

description: Gene catalogue
DOI: 10.6084/m9.figshare.14852508
title: compl.incompl.95.fna.gz

description: Gene catalogue
DOI: 10.6084/m9.figshare.14852532.v1
title: Exell SRL Digital Literacy.xlsx

description: <b>Digital literacy in health professionals: a systematic review of the literature.</b>
DOI: 10.6084/m9.figshare.14852532
title: Exell SRL Digital Literacy.xlsx

description: <b>Digital literacy in health professionals: a systematic review of the literature.</b>
DOI: 10.6084/m9.figshare.14839614
title: Coloc. with Markers Data and Analysis

description: This is the Data and associated output used for demonstrating SynapseJ use to find synapses on marked cells.
DOI: 10.6084/m9.figshare.14839602
title: VMH Data and Analysis

description: This is the Data and associated output used for demonstrating SynapseJ finds bassoon-gephyrin synapses in VMH.
DOI: 10.6084/m9.figshare.14839584
title: CeA Data and Analysis

description: This is the Data and associated output used for demonstrating SynapseJ finds bassoon-gephyrin synapses in CeA.
DOI: 10.6084/m9.figshare.14839551
title: BLA Data and Analysis

description: This is the Data and associated output used for demonstrating SynapseJ finds bassoon-gephyrin synapses in BLA.
DOI: 10.6084/m9.figshare.14839146
title: Arc Data and Analysis

description: This is the Data and associated output used for demonstrating SynapseJ finds bassoon-gephyrin synapses in Arc.
DOI: 10.6084/m9.figshare.14852538
title: Supplementary for the article

description: Supplementary to the article Popov et al. (2021)
DOI: 10.6084/m9.figshare.14852538.v1
title: Supplementary for the article

description: Supplementary to the article Popov et al. (2021)