Données relatives à l’Indice de Pauvreté Multidimensionnelle 2004, 2014. Les données ont été collectées du site du Haut-Commissariat au Plan. Les données de l'année 2004 sont projetées sur le découpage communal de 2014 https://www.hcp.ma/Principaux-resultats-de-la-cartographie-de-la-pauvrete-multidimensionnelle-2004-2014-Paysage-territorial-et-dynamique_a2126.html Data related o the Multidimensional Poverty Index 2004, 2014. Data collected from the Haut-Commissariat au Plan website. Data for 2004 are projected onto the 2014 communal boundaries https://www.hcp.ma/Principaux-resultats-de-la-cartographie-de-la-pauvrete-multidimensionnelle-2004-2014-Paysage-territorial-et-dynamique_a2126.html

Pour plus d'information consulter la BDS en ligne: https://bds.hcp.ma

This repository contains the multi-scale weighted connectomes (edge list with fiber density) computed using diffusion weighted images from 2 different datasets. The first dataset contains a subsample of 44 subjects extracted from the test-retest dataset included in the Human Connectome Project (HCP). The second dataset is compound by 40 healty controls selected from Lausanne psychosis cohort (UL). The age of the subjects belonging to the HCP dataset ranges between 22 and 35 years old while the mean age for the subjects included in the UL dataset is around 25 years old.

Files ending in '_nodes.txt' contain the structure code, the name and the center of mass coordinate for each gray matter structure.

Files ending in '_weight_edgelist.txt' contain the structure code, the name and the center of mass coordinate for each gray matter structure.

Pour plus d'information consulter la BDS en ligne: https://bds.hcp.ma

Dataset

This dataset was created by Konstantin Baltsat

Released under MIT

Contents

The CarePrecise U.S. HCP/HCO Collection Dataset includes deep data on all 6.7 million U.S. HIPAA-covered healthcare practitioners and organizations. Monthly full updates. Includes linkages between the individual practitioners and their practice groups, hospitals, and hospital systems. Licensing plans are available for basic (internal use), derivative products, and redistribution. Data updates are delivered quarterly or monthly to suit customer need; FTP push is available, standard delivery is via CDN. Single download for evaluation is available. CarePrecise is a leader in the fields of HCP/HCO data, supplying provider data to the industry since 2008. Note regarding pricing: The Collection price shown in Pricing is separate from email addresses. Email addresses are priced as low as $0.075 per, based on volume. Pricing shown is without derivative product (DP) licensing for use in web applications; DP license ranges in price from $1,900/year to $9,000/year on top of data purchase, based on application and overall exposure estimate. DP license is sold in two-year term and requires a license agreement.

Hi All!Following instructions gathered via twitter and the HCP message board, I've projected the new HCP-MMP1.0 parcellation onto fsaverage. I have attached the annotation files here and detailed my process below:1. Download the correct data from BALSA:https://balsa.wustl.edu/WN562. Download the correct spheres from the HCP github page:this is detailed here: https://www.mail-archive.com/hcp-users%40humanconnectome.org/msg02890.html3. Using workbench, convert parcellation dabel.nii file label.gii file:wb_command -cifti-separate Q1-Q6_RelatedParcellation210.L.CorticalAreas_dil_Colors.32k_fs_LR.dlabel.nii COLUMN -label CORTEX_LEFT Q1-Q6_RelatedParcellation210.L.CorticalAreas_dil_Colors.32k_fs_LR.label.giiwb_command -cifti-separate Q1-Q6_RelatedParcellation210.R.CorticalAreas_dil_Colors.32k_fs_LR.dlabel.nii COLUMN -label CORTEX_RIGHT Q1-Q6_RelatedParcellation210.R.CorticalAreas_dil_Colors.32k_fs_LR.label.gii4. Using workbench, convert label.gii file to fsaverage space:wb_command -label-resample Q1-Q6_RelatedParcellation210.L.CorticalAreas_dil_Colors.32k_fs_LR.label.gii L.sphere.32k_fs_LR.surf.gii fs_L-to-fs_LR_fsaverage.L_LR.spherical_std.164k_fs_L.surf.gii BARYCENTRIC left.fsaverage164.label.giiwb_command -label-resample Q1-Q6_RelatedParcellation210.R.CorticalAreas_dil_Colors.32k_fs_LR.label.gii R.sphere.32k_fs_LR.surf.gii fs_R-to-fs_LR_fsaverage.R_LR.spherical_std.164k_fs_R.surf.gii BARYCENTRIC right.fsaverage164.label.gii5. Using freesurfer, convert files from gii to annot:mris_convert --annot left.fsaverage164.label.gii fs_L-to-fs_LR_fsaverage.L_LR.spherical_std.164k_fs_L.surf.gii lh.HCP-MMP1.annotmris_convert --annot right.fsaverage164.label.gii fs_R-to-fs_LR_fsaverage.R_LR.spherical_std.164k_fs_R.surf.gii rh.HCP-MMP1.annot6. Rejoice and share!

Morocco HCP Forecast: Number of Households: Urban: Male Headed data was reported at 8,081,465.000 NA in 2050. This records an increase from the previous number of 7,993,260.000 NA for 2049. Morocco HCP Forecast: Number of Households: Urban: Male Headed data is updated yearly, averaging 6,253,437.000 NA from Dec 2014 (Median) to 2050, with 37 observations. The data reached an all-time high of 8,081,465.000 NA in 2050 and a record low of 3,916,433.000 NA in 2014. Morocco HCP Forecast: Number of Households: Urban: Male Headed data remains active status in CEIC and is reported by High Commission for Planning. The data is categorized under Global Database’s Morocco – Table MA.H006: Number of Households: Forecast: High Commission for Planning.

This is the dataset containing all of the derivatives from the Human Connectome Project Young Adult dataset to evaluate the scientific utility of the services on the brainlife.io platform and to build reference datasets for the brainlife.io manuscript.

Morocco HCP Forecast: Urban Population data was reported at 32,081,119.000 NA in 2050. This records an increase from the previous number of 31,884,933.000 NA for 2049. Morocco HCP Forecast: Urban Population data is updated yearly, averaging 27,359,307.000 NA from Dec 2014 (Median) to 2050, with 37 observations. The data reached an all-time high of 32,081,119.000 NA in 2050 and a record low of 20,352,799.000 NA in 2014. Morocco HCP Forecast: Urban Population data remains active status in CEIC and is reported by High Commission for Planning. The data is categorized under Global Database’s Morocco – Table MA.G005: Population: Forecast: High Commission for Planning.

The Human Connectome Project (HCP) data is freely available from the HCP consortium.

Hello everyone,In order to resample the HCP-MMP1.0 parcellation, following steps were done and the new mesh is attached here.1. download needed materials followed by suggestion below:https://www.mail-archive.com/hcp-users@humanconnectome.org/msg06289.htmlThey are:1.1 original mesh( Q1-Q6_RelatedParcellation210.CorticalAreas_dil_Final_Final_Areas_Group_Colors.32k_fs_LR.dlabel.nii) from BALSA: https://balsa.wustl.edu/WN561.2 download group standard 32K and 59K spheres for both hemispheres (Q1-Q6_RelatedParcellation210.L.sphere.32k_fs_LR.surf.gii; Q1-Q6_RelatedParcellation210.R.sphere.32k_fs_LR.surf.gii, L.sphere.59k_fs_LR.surf.gii & R.sphere.59k_fs_LR.surf.gii) from HCP Github: https://github.com/Washington-University/HCPpipelines/tree/master/global/templates/standard_mesh_atlases 2. using workbench, separate, resample and merge parcellation files:wb_command -cifti-separate Q1-Q6_RelatedParcellation210.CorticalAreas_dil_Final_Final_Areas_Group_Colors.32k_fs_LR.dlabel.nii COLUMN -label CORTEX_LEFT Q1-Q6_RelatedParcellation210.L.CorticalAreas_dil_Final_Final_Areas_Group.32k_fs_LR.dlabel.giiwb_command -cifti-separate Q1-Q6_RelatedParcellation210.CorticalAreas_dil_Final_Final_Areas_Group_Colors.32k_fs_LR.dlabel.nii COLUMN -label CORTEX_RIGHT Q1-Q6_RelatedParcellation210.R.CorticalAreas_dil_Final_Final_Areas_Group.32k_fs_LR.dlabel.giiwb_command -label-resample Q1-Q6_RelatedParcellation210.L.CorticalAreas_dil_Final_Final_Areas_Group.32k_fs_LR.dlabel.gii Q1-Q6_RelatedParcellation210.L.sphere.32k_fs_LR.surf.gii L.sphere.59k_fs_LR.surf.gii BARYCENTRIC Q1-Q6_RelatedParcellation210.L.CorticalAreas_dil_Final_Final_Areas_Group.59k_fs_LR.dlabel.niiwb_command -label-resample Q1-Q6_RelatedParcellation210.R.CorticalAreas_dil_Final_Final_Areas_Group.32k_fs_LR.dlabel.gii Q1-Q6_RelatedParcellation210.R.sphere.32k_fs_LR.surf.gii R.sphere.59k_fs_LR.surf.gii BARYCENTRIC Q1-Q6_RelatedParcellation210.R.CorticalAreas_dil_Final_Final_Areas_Group.59k_fs_LR.dlabel.niiwb_command -cifti-create-label Q1-Q6_RelatedParcellation210.CorticalAreas_dil_Final_Final_Areas_Group_Colors.59k_fs_LR.dlabel.nii -left-label Q1-Q6_RelatedParcellation210.L.CorticalAreas_dil_Final_Final_Areas_Group.59k_fs_LR.dlabel.nii -right-label Q1-Q6_RelatedParcellation210.R.CorticalAreas_dil_Final_Final_Areas_Group.59k_fs_LR.dlabel.niiNOTE: when doing merge, there's error for label-merge function for dlabel.nii file, therefore I changed the code to -cifti-create-label followed the suggestion from:https://www.mail-archive.com/hcp-users@humanconnectome.org/msg03217.html3.Pick up the new mesh: Q1-Q6_RelatedParcellation210.CorticalAreas_dil_Final_Final_Areas_Group_Colors.59k_fs_LR.dlabel.nii4. Enjoy :)AcknowledgementThanks for the help of my supervisor Michelle Moerel during this transformation. Wish her all the best~

This HCP data release includes high-resolution 3T MR scans from young healthy adult twins and non-twin siblings (ages 22-35) using four imaging modalities: structural images (T1w and T2w), resting-state fMRI (rfMRI), task-fMRI (tfMRI), and high angular resolution diffusion imaging (dMRI). Behavioral and other individual subject measure data (both NIH Toolbox and non-Toolbox measures) is available on all subjects. MEG data and 7T MR data is available for a subset of subjects (twin pairs). The Open Access Dataset includes imaging data and most behavioral data. To protect subject privacy, some of the data (e.g., which subjects are twins) are part of a Restricted Access dataset.

Pour plus d'information consulter la BDS en ligne: https://bds.hcp.ma

HCP M60 Session 1 Left Hemisphere

Collection description

***PLEASE READ OUR PUBLISHED PAPER CAREFULLY AND ENSURE YOU UNDERSTAND THESE IMAGES BEFORE USING ANY OF THIS INFORMATION CLINICALLY. WE CAN BE CONTACTED FOR CLARIFICATIONS.***

This collection contains images of the outer loop, and partial middle loop, of the optic radiation. These are population averages, displayed as percentages of participants, as single subject maps cannot be released for privacy reasons.

Please read our paper for how these images were generated. In brief, the CONSULT system created binarised tractography for each subject. We take the average of these binary maps *in MNI space* to create the images appearing here. and multiply the result by 100. The MNI template used is attached.

Data are from multiple sources and filed as they appear in the paper. These sources are:
1) HCP-*: Human Connectome Project data. These data were modified from their originals to test CONSULT using different quality data. Raw HCP data can be downloaded from the HCP website.
2) Hospital-*: Data acquired by us on two hospital campuses. Some of these data are from neurosurgical patients. Three different scanners and acquisition protocols were used.
3) MASSIVE-*: Data from the MASSIVE dataset. These data were modified from their originals to test CONSULT using different quality data. The original data can be downloaded from the MASSIVE website.

Subject species

homo sapiens

Modality

Diffusion MRI

Analysis level

group

Cognitive paradigm (task)

None / Other

Map type

Other

HCP M60 Session 2 Left Hemisphere

Collection description

***PLEASE READ OUR PUBLISHED PAPER CAREFULLY AND ENSURE YOU UNDERSTAND THESE IMAGES BEFORE USING ANY OF THIS INFORMATION CLINICALLY. WE CAN BE CONTACTED FOR CLARIFICATIONS.***

This collection contains images of the outer loop, and partial middle loop, of the optic radiation. These are population averages, displayed as percentages of participants, as single subject maps cannot be released for privacy reasons.

Please read our paper for how these images were generated. In brief, the CONSULT system created binarised tractography for each subject. We take the average of these binary maps *in MNI space* to create the images appearing here. and multiply the result by 100. The MNI template used is attached.

Data are from multiple sources and filed as they appear in the paper. These sources are:
1) HCP-*: Human Connectome Project data. These data were modified from their originals to test CONSULT using different quality data. Raw HCP data can be downloaded from the HCP website.
2) Hospital-*: Data acquired by us on two hospital campuses. Some of these data are from neurosurgical patients. Three different scanners and acquisition protocols were used.
3) MASSIVE-*: Data from the MASSIVE dataset. These data were modified from their originals to test CONSULT using different quality data. The original data can be downloaded from the MASSIVE website.

Subject species

homo sapiens

Modality

Diffusion MRI

Analysis level

group

Cognitive paradigm (task)

None / Other

Map type

Other

Morocco HCP Forecast: Number of Households: National: Male Headed data was reported at 10,828,274.000 NA in 2050. This records an increase from the previous number of 10,733,336.000 NA for 2049. Morocco HCP Forecast: Number of Households: National: Male Headed data is updated yearly, averaging 8,795,044.000 NA from Dec 2014 (Median) to 2050, with 37 observations. The data reached an all-time high of 10,828,274.000 NA in 2050 and a record low of 6,141,163.000 NA in 2014. Morocco HCP Forecast: Number of Households: National: Male Headed data remains active status in CEIC and is reported by High Commission for Planning. The data is categorized under Global Database’s Morocco – Table MA.H006: Number of Households: Forecast: High Commission for Planning.

This shapefile contains Natural Community Conservation Plan (NCCP) (some of which are also Habitat Conservation Plan (HCP)) boundaries in California. This layer may contain boundaries that are no longer active. Please confirm the status of boundaries before using them in maps and analyses. Some boundaries may be estimated. NCCPs take a broad based approach to protect habitats and species. The program began in 1991. An NCCP identifies and provides for the regional protection of plants, animals, and their habitats, while allowing compatible and appropriate economic activity. Working with landowners, environmental organizations, and other interested parties, a local agency oversees the numerous activities that compose the development of an NCCP. CDFW and the U.S. Fish and Wildlife Service provide the necessary support, direction, and guidance to NCCP participants. For more information on NCCPs please see https://www.wildlife.ca.gov/conservation/planning/nccp .

Morocco HCP Forecast: Rural Population data was reported at 11,480,670.000 NA in 2050. This records a decrease from the previous number of 11,546,389.000 NA for 2049. Morocco HCP Forecast: Rural Population data is updated yearly, averaging 12,555,658.000 NA from Dec 2014 (Median) to 2050, with 37 observations. The data reached an all-time high of 13,416,713.000 NA in 2014 and a record low of 11,480,670.000 NA in 2050. Morocco HCP Forecast: Rural Population data remains active status in CEIC and is reported by High Commission for Planning. The data is categorized under Global Database’s Morocco – Table MA.G005: Population: Forecast: High Commission for Planning.

A multishell diffusion scheme was used, and the b-values were 1000 ,3000 ,5000 and 10000 s/mm2. The number of diffusion sampling directions were 64, 64, 128, and 256. The in-plane resolution was 1.5 mm. The slice thickness was 1.5 mm.

This data set was originally from the connectome db website (https://db.humanconnectome.org/). The MGH HCP team has released diffusion imaging and structural imaging data acquired from 35 young adults using the customized MGH Siemens 3T Connectome scanner, which has 300 mT/m maximum gradient strength for diffusion imaging.

The data are shared under the WU-Minn HCP open access data use term (4) at https://www.humanconnectome.org/study/hcp-young-adult/document/wu-minn-hcp-consortium-open-access-data-use-terms

Please acknowledge the source to the WU-Minn HCP.