I-MAGIC (Interactive Map-Assisted Generation of ICD Codes) is an interactive tool to demonstrate how the SNOMED CT to ICD-10-CM map can be used to generate ICD-10-CM codes from clinical problems coded in SNOMED CT.

Index map of the 72 cartographic sheets produced within the Project MArine Geohazards along the Italian Coasts carried out by the Italian research groups actively working on Marine Geology with also the contribution of the University of Nice. Original metadata sheet: http://dati.protezionecivile.it/geoportalDPC/catalog/search/resource/details.page?uuid=PCM_MaGIC1_01%3A20160704%3A081100

This dataset is available for use for non-commercial purposes only on request as AfA248 dataset Groundwater Vulnerability Maps (2017). For commercial use please contact the British Geological Survey.

The Groundwater Vulnerability Maps show the vulnerability of groundwater to a pollutant discharged at ground level based on the hydrological, geological, hydrogeological and soil properties within a single square kilometre. The 2017 publication has updated the groundwater vulnerability maps to reflect improvements in data mapping, modelling capability and understanding of the factors affecting vulnerability Two map products are available: • The combined groundwater vulnerability map. This product is designed for technical specialists due to the complex nature of the legend which displays groundwater vulnerability (High, Medium, Low), the type of aquifer (bedrock and/or superficial) and aquifer designation status (Principal, Secondary, Unproductive). These maps require that the user is able to understand the vulnerability assessment and interpret the individual components of the legend.

• The simplified groundwater vulnerability map. This was developed for non-specialists who need to know the overall risk to groundwater but do not have extensive hydrogeological knowledge or the time to interpret the underlying data. The map has five risk categories (High, Medium-High, Medium, Medium-Low and Low) based on the likelihood of a pollutant reaching the groundwater (i.e. the vulnerability), the types of aquifer present and the potential impact (i.e. the aquifer designation status). The two maps also identify areas where solution features that enable rapid movement of a pollutant may be present (identified as stippled areas) and areas where additional local information affecting vulnerability is held by the Environment Agency (identified as dashed areas). Attribution statement: © Environment Agency copyright and/or database right 2017. All rights reserved.Derived from 1:50k scale BGS Digital Data under Licence 2011/057 British Geological Survey. © NERC.

Representation of the geo-referenced map only relating to the sheet in question, for the following three levels descritti:Livello 2: Morphological units (UM)Represent large units within which morphological traits (EM of Level 3) are grouped even different but whose predominance is characteristic and indicative of certain processes or geological phenomena.Level 3: Morphobatimetric elements (EM)Represent individual, physically distinct morphological elements, specifically associated with a precise geological process or, in certain cases, to indeterminable processes on an exclusively morphobatimetric basis. In this case, the genesis of the EM remains indefinite.Level 4: Criticality PointsRepresent one or more EMs of Level 3 which, in the opinion of the interpreter, indicate the existence of a risk, understood as a concrete possibility that, if a given event occurs, it could harm people and/or infrastructure (even if it is impossible to specify the probability and how long such an event may occur). Representation of the geo-referenced map only relating to the sheet in question, for the following three levels descritti:Livello 2: Morphological units (UM)Represent large units within which morphological traits (EM of Level 3) are grouped even different but whose predominance is characteristic and indicative of certain processes or geological phenomena.Level 3: Morphobatimetric elements (EM)Represent individual, physically distinct morphological elements, specifically associated with a precise geological process or, in certain cases, to indeterminable processes on an exclusively morphobatimetric basis. In this case, the genesis of the EM remains indefinite.Level 4: Criticality PointsRepresent one or more EMs of Level 3 which, in the opinion of the interpreter, indicate the existence of a risk, understood as a concrete possibility that, if a given event occurs, it could harm people and/or infrastructure (even if it is impossible to specify the probability and how long such an event may occur).

I-MAGIC (Interactive Map-Assisted Generation of ICD Codes) is an interactive tool to demonstrate how the SNOMED CT to ICD-10-CM map can be used to generate ICD-10-CM codes from clinical problems coded in SNOMED CT.

Layered GeoPDF 7.5 Minute Quadrangle Map. Layers of geospatial data include orthoimagery, roads, grids, geographic names, elevation contours, hydrography, and other selected map features.

Collection description

None

Subject species

homo sapiens

Modality

Other

Cognitive paradigm (task)

abstract/concrete task

Map type

Other

Overview

• The Magic, Memory, Curiosity (MMC) dataset contains data from 50 healthy human adults incidentally encoding 36 videos of magic tricks inside the MRI scanner across three runs.
• Before and after incidental learning, a 10-min resting-state scan was acquired.
• The MMC dataset includes contextual incentive manipulation, curiosity ratings for the magic tricks, as well as incidental memory performance tested a week later using a surprise cued recall and recognition test .
• Working memory and constructs potentially relevant in the context of motivated learning (e.g., need for cognition, fear of failure) were additionally assessed.

Stimuli

The stimuli used here were short videos of magic tricks taken from a validated stimulus set (MagicCATs, Ozono et al., 2021) specifically created for the usage in fMRI studies. All final stimuli are available upon request. The request procedure is outlined in the Open Science Framework repository associated with the MagicCATs stimulus set (https://osf.io/ad6uc/).

Participant responses

Participants’ responses to demographic questions, questionnaires, and performance in the working memory assessment as well as both tasks are available in comma-separated value (CSV) files. Demographic (MMC_demographics.csv), raw questionnaire (MMC_raw_quest_data.csv) and other score data (MMC_scores.csv) as well as other information (MMC_other_information.csv) are structured as one line per participant with questions and/or scores as columns. Explicit wordings and naming of variables can be found in the supplementary information. Participant scan summaries (MMC_scan_subj_sum.csv) contain descriptives of brain coverage, TSNR, and framewise displacement (one row per participant) averaged first within acquisitions and then within participants. Participants’ responses and reaction times in the magic trick watching and memory task (MMC_experimental_data.csv) are stored as one row per trial per participant.

Preprocessing

Data was preprocessed using the AFNI (version 21.2.03) software suite. As a first step, the EPI timeseries were distortion-corrected along the encoding axis (P>>A) using the phase difference map (‘epi_b0_correct.py’). The resulting distortion-corrected EPIs were then processed separately for each task, but scans from the same task were processed together. The same blocks were applied to both task and resting-state distortion-corrected EPI data using afni_proc.py (see below): despiking, slice-timing and head-motion correction, intrasubject alignment between anatomy and EPI, intersubject registration to MNI, masking, smoothing, scaling, and denoising. For more details, please refer to the data descriptor (LINK) or the Github repository (https://github.com/stefaniemeliss/MMC_dataset).

afni_proc.py -subj_id "${subjstr}" \
  -blocks despike tshift align tlrc volreg mask blur scale regress \
  -radial_correlate_blocks tcat volreg \
  -copy_anat $derivindir/$anatSS \
  -anat_has_skull no \
  -anat_follower anat_w_skull anat $derivindir/$anatUAC \
  -anat_follower_ROI aaseg anat $sswindir/$fsparc \
  -anat_follower_ROI aeseg epi $sswindir/$fsparc \
  -anat_follower_ROI FSvent epi $sswindir/$fsvent \
  -anat_follower_ROI FSWMe epi $sswindir/$fswm \
  -anat_follower_ROI FSGMe epi $sswindir/$fsgm \
  -anat_follower_erode FSvent FSWMe \
  -dsets $epi_dpattern \
  -outlier_polort $POLORT \
  -tcat_remove_first_trs 0 \
  -tshift_opts_ts -tpattern altplus \
  -align_opts_aea -cost lpc+ZZ -giant_move -check_flip \
  -align_epi_strip_method 3dSkullStrip \
  -tlrc_base MNI152_2009_template_SSW.nii.gz \
  -tlrc_NL_warp \
  -tlrc_NL_warped_dsets $sswindir/$anatQQ $sswindir/$matrix $sswindir/$warp \
  -volreg_base_ind 1 $min_out_first_run \
  -volreg_post_vr_allin yes \
  -volreg_pvra_base_index MIN_OUTLIER \
  -volreg_align_e2a \
  -volreg_tlrc_warp \
  -volreg_no_extent_mask \
  -mask_dilate 8 \
  -mask_epi_anat yes \
  -blur_to_fwhm -blur_size 8 \
  -regress_motion_per_run \
  -regress_ROI_PC FSvent 3 \
  -regress_ROI_PC_per_run FSvent \
  -regress_make_corr_vols aeseg FSvent \
  -regress_anaticor_fast \
  -regress_anaticor_label FSWMe \
  -regress_censor_motion 0.3 \
  -regress_censor_outliers 0.1 \
  -regress_apply_mot_types demean deriv \
  -regress_est_blur_epits \
  -regress_est_blur_errts \
  -regress_run_clustsim no \
  -regress_polort 2 \
  -regress_bandpass 0.01 1 \
  -html_review_style pythonic

Derivatives

The anat folder contains derivatives associated with the anatomical scan. The skull-stripped image created using @SSwarper is available in original and ICBM 2009c Nonlinear Asymmetric Template space as sub-[group][ID]_space-[space]_desc-skullstripped_T1w.nii.gz together with the corresponding affine matrix (sub-[group][ID]_aff12.1D) and incremental warp (sub-[group][ID]_warp.nii.gz). Output generated using @SUMA_Make_Spec_FS (defaced anatomical image, whole brain and tissue masks, as well as FreeSurfer discrete segmentations based on the Desikan-Killiany cortical atlas and the Destrieux cortical atlas) are also available as sub-[group][ID]_space-orig_desc-surfvol_T1w.nii.gz, sub-[group][ID]_space-orig_label-[label]_mask.nii.gz, and sub-[group][ID]_space-orig_desc-[atlas]_dseg.nii.gz, respectively.

The func folder contains derivatives associated with the functional scans. To enhance re-usability, the fully preprocessed and denoised files are shared as sub-[group][ID]_task-[task]_desc-fullpreproc_bold.nii.gz. Additionally, partially preprocessed files (distortion corrected, despiked, slice-timing/head-motion corrected, aligned to anatomy and template space) are uploaded as sub-[group][ID]_task-[task]_run-[1-3]_desc-MNIaligned_bold.nii.gz together with slightly dilated brain mask in EPI resolution and template space where white matter and lateral ventricle were removed (sub-[group][ID]_task-[task]_space-MNI152NLin2009cAsym_label-dilatedGM_mask.nii.gz) as well as tissue masks in EPI resolution and template space (sub-[group][ID]_task-[task]_space-MNI152NLin2009cAsym_label-[tissue]_mask.nii.gz).

The regressors folder contains nuisance regressors stemming from the output of the full afni_proc.py preprocessing pipeline. They are provided as space-delimited text values where each row represents one volume concatenated across all runs for each task separately. Those estimates that are provided per run contain the data for the volumes of one run and zeros for the volumes of other runs. This allows them to be regressed out separately for each run. The motion estimates show rotation (degree counterclockwise) in roll, pitch, and yaw and displacement (mm) in superior, left, and posterior direction. In addition to the motion parameters with respect to the base volume (sub-[group][ID]_task-[task]_label-mot_regressor.1D), motion derivatives (sub-[group][ID]_task-[task]_run[1-3]_label-motderiv_regressor.1D) and demeaned motion parameters (sub-[group][ID]_task-[task]_run[1-3]_label-motdemean_regressor.1D) are also available for each run separately. The sub-[group][ID]_task-[task]_run[1-3]_label-ventriclePC_regressor.1D files contain time course of the first three PCs of the lateral ventricle per run. Additionally, outlier fractions for each volume are provided (sub-[group][ID]_task-[task]_label-outlierfrac_regressor.1D) and sub-[group][ID]_task-[task]_label-censorTRs_regressor.1D shows which volumes were censored because motion or outlier fraction exceeded the limits specified. The voxelwise time course of local WM regressors created using fast ANATICOR is shared as sub-[group][ID]_task-[task]_label-localWM_regressor.nii.gz.

Stripe rust caused by the biotrophic fungus Puccinia striiformis Westend. is one of the most important diseases of wheat worldwide, causing high yield and quality losses. Growing resistant cultivars is the most efficient way to control stripe rust, both economically and ecologically. Known resistance genes are already present in numerous cultivars worldwide. However, their effectiveness is limited to certain races within a rust population and the emergence of stripe rust races being virulent against common resistance genes forces the demand for new sources of resistance. Multiparent advanced generation intercross (MAGIC) populations have proven to be a powerful tool to carry out genetic studies on economically important traits. In this study, interval mapping was performed to map quantitative trait loci (QTL) for stripe rust resistance in the Bavarian MAGIC wheat population, comprising 394 F6 : 8 recombinant inbred lines (RILs). Phenotypic evaluation of the RILs was carried out for adult plant resistance in field trials at three locations across three years and for seedling resistance in a growth chamber. In total, 21 QTL for stripe rust resistance corresponding to 13 distinct chromosomal regions were detected, of which two may represent putatively new QTL located on wheat chromosomes 3D and 7D.

The cruise ARCADIA (MaGIC Project) is aimed at the acquisition of multibeam ecometric data in the two map sheets of the southern Adriatic sea that are under ISMAR competence: Monopoli (map sheet 52) and Brindisi (map sheet 51). MaGIC Project is funded by the Italian Civil Protection Department for the acquisition of high-resolution morphobatimetric data along Italian continental margins. Is expected the production of “Map of the elements of geohazards of the Itralian Seas”, consisting of 72 map sheets at scale 1:50.000, of which 19 pertaining to ISMAR-CNR UOS Bologna. For each sheet there are four thematic maps. They highlight different aspects of the geohazard and the different scales at which it can be investigated and represented.

Representation of the geo-referenced map only relating to the sheet in question, for the following three levels descritti:Livello 2: Morphological units (UM)Represent large units within which morphological traits (EM of Level 3) are grouped even different but whose predominance is characteristic and indicative of certain processes or geological phenomena.Level 3: Morphobatimetric elements (EM)Represent individual, physically distinct morphological elements, specifically associated with a precise geological process or, in certain cases, to indeterminable processes on an exclusively morphobatimetric basis. In this case, the genesis of the EM remains indefinite.Level 4: Criticality PointsRepresent one or more EMs of Level 3 which, in the opinion of the interpreter, indicate the existence of a risk, understood as a concrete possibility that, if a given event occurs, it could harm people and/or infrastructure (even if it is impossible to specify the probability and how long such an event may occur).

The genetic map of the MM population. (XLSX 2159 kb)

Representation of only the georeferenced map relating to the sheet considered, for the three levels described below:Level 2: Morphological Units (MU)They represent large units within which morphological traits (Level 3 EM) are grouped, even if different but whose predominance it is characterizing and indicative of certain geological processes or phenomena. Level 3: Morphobathymetric Elements (EM) They represent individual, physically distinct morphological elements that can be specifically associated with a precise geological process or, in some cases, with processes that cannot be determined on an exclusively morphobathymetric basis. In this case the genesis of the EM remains undefined. Level 4: Critical Points They represent one or more Level 3 EMs which, in the interpreter's opinion, indicate the existence of a risk, understood as a concrete possibility that, if a specific event should occur, it could harm people and/or infrastructures (even if it is impossible to specify the probability and in what times such an event could occur).

Multiparent advanced generation intercross (MAGIC) populations were recently developed to allow the high-resolution mapping of quantitative traits. We present a genetic linkage map of an elite but highly diverse eight-founder MAGIC population in common wheat (Triticum aestivum L.). Our MAGIC population is composed of 394 F6:8 recombinant inbred lines lacking significant signatures of population structure. The linkage map included 5435 SNP markers distributed over 2804 loci and spanning 5230 cM. The analysis of population parameters, including genetic structure, kinship, founder probabilities, and linkage disequilibrium and congruency to other maps indicated appropriate construction of both the population and the genetic map. It was shown that eight-founder MAGIC populations exhibit a greater number of loci and higher recombination rates, especially in the pericentromeric regions, compared to four-founder MAGIC, and biparental populations. In addition, our greatly simplified eight-parental MAGIC mating design with an additional eight-way intercross step was found to be equivalent to a MAGIC design with all 210 possible four-way crosses regarding the levels of missing founder assignments and the number of recombination events. Furthermore, the MAGIC population captured 71.7% of the allelic diversity available in the German wheat breeding gene pool. As a proof of principle, we demonstrated the application of the resource for quantitative trait loci mapping analyzing seedling resistance to powdery mildew. As wheat is a crop with many breeding objectives, this resource will allow scientists and breeders to carry out genetic studies for a wide range of breeder-relevant parameters in a single genetic background and reveal possible interactions between traits of economic importance.

Representation of the geo-referenced map only relating to the sheet in question, for the following three levels descritti:Livello 2: Morphological units (UM)Represent large units within which morphological traits (EM of Level 3) are grouped even different but whose predominance is characteristic and indicative of certain processes or geological phenomena.Level 3: Morphobatimetric elements (EM)Represent individual, physically distinct morphological elements, specifically associated with a precise geological process or, in certain cases, to indeterminable processes on an exclusively morphobatimetric basis. In this case, the genesis of the EM remains indefinite.Level 4: Criticality PointsRepresent one or more EMs of Level 3 which, in the opinion of the interpreter, indicate the existence of a risk, understood as a concrete possibility that, if a given event occurs, it could harm people and/or infrastructure (even if it is impossible to specify the probability and how long such an event may occur). Representation of the geo-referenced map only relating to the sheet in question, for the following three levels descritti:Livello 2: Morphological units (UM)Represent large units within which morphological traits (EM of Level 3) are grouped even different but whose predominance is characteristic and indicative of certain processes or geological phenomena.Level 3: Morphobatimetric elements (EM)Represent individual, physically distinct morphological elements, specifically associated with a precise geological process or, in certain cases, to indeterminable processes on an exclusively morphobatimetric basis. In this case, the genesis of the EM remains indefinite.Level 4: Criticality PointsRepresent one or more EMs of Level 3 which, in the opinion of the interpreter, indicate the existence of a risk, understood as a concrete possibility that, if a given event occurs, it could harm people and/or infrastructure (even if it is impossible to specify the probability and how long such an event may occur).

This document is a map (geotiff) representing the Critical Points (CP) mapped in the Magic1 project and their hierarchy (performed in the Magic2 project). In particular, this map shows the sector of the eastern Tyrrhenian Sea, the southern Adriatic Sea and the central-northern Ionian Sea. By hierarchy we mean the subdivision of the PCs into 5 main types in relation to the geological process to which they are associated: canyon/canal heads, landslides , tectonic features, volcanoes and fluid leakage (Pockmark). In addition to these there are two typologies represented which are PCs that cannot be classified due to lack of data and PCs that fall into other categories. It is important to underline how the hierarchy of PCs is relative in that it occurs within each category (the critical points referring to risks of different types must not be compared with each other) similarly to what happens on the ground, e.g. for the various natural risks (hydrogeological, seismic, volcanic). In the Magic Project Critical Points have been defined as one or more morpho-bathymetric elements in correspondence with which, in the interpreter's judgement, a phenomenon capable of causing damage could be generated to surrounding coastal infrastructure and/or communities. The definition of PCs takes into account all types of data available (historical, seismic, modeling) and is also based on the specific knowledge of the interpreters in the various areas. All this implies that the identification of the PCs is extremely subjective and related to previous knowledge and data available to the interpreter. For a complete understanding of the product, read the reference methodological document.

The grid layer will support farmers who have entered land in the Introductory level of the Sustainable Farming Incentive (SFI) Moorland Standard. The standard requires that agreement holders carry out a survey of their moorland, with observations within each 10 hectare block. The moorland grid map available through Magic will allow farmers to print a base map and plan their moorland survey to meet the requirements of the standard.

Paleomagnetic, rock magnetic, or geomagnetic data found in the MagIC data repository from a paper titled: Ting Cao, Huapei Wang, Shaochen Hu, Kaixian Qi (2024). The Martian crustal field recorded in Antarctic meteorite Grove Mountains 020090. Meteoritics & Planetary Science. doi:10.1111/MAPS.14136.

During the cruise MAGIC ISMAR 07/09 is expected the conclusion of sheets Monopoli (map sheet 52) and Bari (map sheet 53). Furthermore, the acquisition of part of sheet Brindisi (map sheet 51) is expected, as regards eastern Apulia. As regards southern Tyrrhenian sea, the acquisition of the bathymetric data relative to the specifications of the instrument supplied for the sheets Milazzo (map sheet 17) and Alicudi (map sheet 19) is planned. The thematic maps that will be created will constitute a cognitive tool that the Civil Protection Department will have at its disposal for the management of territorial risks, but also a basis for research activities in marine areas that are geologically and largely still little known. MaGIC Project is funded by the Italian Civil Protection Department for the acquisition of high-resolution morphobatimetric data along Italian continental margins. Is expected the production of “Map of the elements of geohazards of the Itralian Seas”, consisting of 72 map sheets at scale 1:50.000, of which 19 pertaining to ISMAR-CNR UOS Bologna. For each sheet there are four thematic maps. They highlight different aspects of the geohazard and the different scales at which it can be investigated and represented.

Representation of the geo-referenced map only relating to the sheet in question, for the following three levels descritti:Livello 2: Morphological units (UM)Represent large units within which morphological traits (EM of Level 3) are grouped even different but whose predominance is characteristic and indicative of certain processes or geological phenomena.Level 3: Morphobatimetric elements (EM)Represent individual, physically distinct morphological elements, specifically associated with a precise geological process or, in certain cases, to indeterminable processes on an exclusively morphobatimetric basis. In this case, the genesis of the EM remains indefinite.Level 4: Criticality PointsRepresent one or more EMs of Level 3 which, in the opinion of the interpreter, indicate the existence of a risk, understood as a concrete possibility that, if a given event occurs, it could harm people and/or infrastructure (even if it is impossible to specify the probability and how long such an event may occur).