DataSuds

Metrics

139,883 Downloads

L’entrepôt de données DataSuds propose aux scientifiques de l’IRD et à leurs partenaires un service pour préserver, diffuser et valoriser leurs données de recherche en facilitant leur identification, leur référencement et leur citation. En tant que plateforme de publication de données, il constitue l'un des éléments du dispositif de la Science Ouverte pour le Sud que promeut l’IRD.

Comment publier un jeu de données (dataset) dans DataSuds ?
→ Support utilisateurs : demander l'accès à une collection existante (laboratoire, équipe, projet) ou la création d'une nouvelle collection. → Mode d'emploi

UMI TransVIHMI

UMR CEREGE

UMR ESPACE-DEV

UMR PHIM

UMR DIADE

Base cartographique Sphaera

Partnerships

UMR iEES-Paris

UMR AMAP

UMR HydroSciences Montpellier

UMR Entropie

UMR MIO

UMR MoISA

UMR MIVEGEC

UMR GET

UMI SOURCE

UMR EGCE

UMR Eco&Sols

UMR INTERTRYP

UMR QualiSud

UMR LEMAR

UMR LEDa

UMR PHARMADEV

UMR CBGP

UMR PALOC

UMR MERIT

UMI UMMISCO

UMR SENS

UMR Ceped

UMR IGE

UMR LMV

UMR MARBEC

UMR G-EAU

UMR Geoazur

LMI CARIBACT

Mission pour la Science Ouverte (MSO)

LMI PathoBios

Data collected as part of M-TROPICS based research projects

Rain Cell projects

AMMA-CATCH associated projects

Paddle project

Featured Dataverses

In order to use this feature you must have at least one published or linked dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

4,461 to 4,470 of 9,316 Results

Replication data for: No leading-edge effect in North Atlantic harbor porpoises: Evolutionary and conservation implications Mar 11, 2021 - Porpoises genetics and genomics Ben Chehida, Yacine; Loughnane, Roisin; Thumloup, Julie; Kaschner, Kristin; Garilao, Cristina; Rosel, Patricia E.; Fontaine, Michael C., 2021, "Replication data for: No leading-edge effect in North Atlantic harbor porpoises: Evolutionary and conservation implications", https://doi.org/10.23708/LMH8Y8, DataSuds, V1, UNF:6:j1jcc4A1Rs+FEedPbYzYIQ== [fileUNF] These data are accompanying the manuscript "No leading-edge effect in North Atlantic harbor porpoises: Evolutionary and conservation implications" by Ben Chehida Y., Loughnane R., Thumloup J., Kaschner K., Garilao C., Rosel P.E., & Fontaine M.C. The manuscript has been posted as...
Porpoises_NA_All_mtDNA_sequences.fasta Mar 11, 2021 - Replication data for: No leading-edge effect in North Atlantic harbor porpoises: Evolutionary and conservation implications Unknown - 655.4 KB - MD5: da4517956b1ba25a2647dd804c0a3a3a Data Fasta alignment of 150 mitochondrial DNA sequences (148 harbor porpoises and 2 Dall's porpoises, see Table S3 in Ben Chehida et al. 2021 Evol. App.). This alignment includes five mitochondrial coding regions (CytB, ATP6, ATP8, ND5, and COX-I). These sequences were used in all the...
Porpoises_NA_Microsatellite_data_cleaned.tab Mar 11, 2021 - Replication data for: No leading-edge effect in North Atlantic harbor porpoises: Evolutionary and conservation implications Tabular Data - 100.6 KB - 25 Variables, 925 Observations - UNF:6:j1jcc4A1Rs+FEedPbYzYIQ== Data File providing the identifier, geographical group, local sub-group, latitude, longitude, and the genotypes at the 10 microsatellites for 925 harbor porpoises (i.e. individuals with ≤40% of missing data). This dataset was used in all the analyses but the sPCA. The sPCA analysis us...
Porpoises_NA_Unique_haplotypes.fasta Mar 11, 2021 - Replication data for: No leading-edge effect in North Atlantic harbor porpoises: Evolutionary and conservation implications Unknown - 469.4 KB - MD5: a82b8e6724f8492893f54daf714c9543 Data Fasta alignment of 111 unique mitochondrial DNA haplotypes (110 harbor porpoises and 1 Dall's porpoise). This alignment contains five mitochondrial coding regions (CytB, ATP6, ATP8, ND5, and COXI). These unique sequences were used to infer the phylogenetic tree. For further detai...
Simulated peak flow for the May 16 2019 flood event in Bamako, Mali Mar 10, 2021 - Rain Cell project in Mali Bouvier, Christophe; Chahinian, Nanée; Alcoba Kait, Matias; Dembélé, N'dji Dit Jacques; Cazenave, Frédéric, 2021, "Simulated peak flow for the May 16 2019 flood event in Bamako, Mali", https://doi.org/10.23708/PDLP9F, DataSuds, V1 On May 16 2019, an intense rainfall event led to devastating floods in Bamako (Mali). The Rain Cell app Bamako was partially operational, with 6 rain gauges recording and sending in real time rainfall over the city of Bamako. This raster file in ASCII ESRI format contains peakflo...
RainCell_Bamako20190516_qmax_event.txt Mar 10, 2021 - Simulated peak flow for the May 16 2019 flood event in Bamako, Mali Plain Text - 107.1 MB - MD5: c7877b143340dab9f06f17803716c20d Data Simulated peakflow (liters per second). Raster file in ASCII ESRI format ; missing data coded as -9999
AMMA-CATCH associated projects(IRD, CNRS-INSU, OSUG, OMP, OREME) Mar 10, 2021 Projects associated to the AMMA-CATCH National Observation Service (SNO) "African Monsoon Multidisciplinary Analysis - Coupling the Tropical Atmosphere and the Hydrological Cycle" Access to the main database: http://bd.amma-catch.org
Simulated overbank flow for the May 16 2019 flood event in Bamako, Mali Mar 9, 2021 - Rain Cell project in Mali Bouvier, Christophe; Chahinian, Nanée; Alcoba Kait, Matias; Dembélé, N'dji Dit Jacques; Cazenave, Frédéric, 2021, "Simulated overbank flow for the May 16 2019 flood event in Bamako, Mali", https://doi.org/10.23708/RXSSDX, DataSuds, V1 On May 16 2019, an intense rainfall event led to devastating floods in Bamako (Mali). The Rain Cell app Bamako was partially operational, with 6 rain gauges recording and sending in real time rainfall over the city of Bamako. This raster file in ASCII ESRI format contains peakflo...
RainCell_Bamako20190516_overbank.txt Mar 9, 2021 - Simulated overbank flow for the May 16 2019 flood event in Bamako, Mali Plain Text - 106.6 MB - MD5: 915ca27b5fa2333d7749ff66ce5f8e92 Data Overbank flow (maximum peakflow: liters per seconds). Raster file in ASCII ESRI format ; missing data coded as -9999
Raw data for: Genome-Wide Association study of non-severe malaria in two birth cohorts in Benin Mar 5, 2021 - UMR MERIT Jacqueline Milet; Anne Boland; Pierre Luisi; Ibrahim Sadissou; Paulin Sonon; Nadia Domingo; Laure Gineau; Friso Palstra; Hervé Perdry; Achille Massougbodji; Jean-François Deleuze; David Courtin; Audrey Sabbagh; André Garcia, 2019, "Raw data for: Genome-Wide Association study of non-severe malaria in two birth cohorts in Benin", https://doi.org/10.23708/EXSQTM, DataSuds, V2 Whole-genome genotyping data for two cohorts of infants followed for malaria infections in south Benin : 525 infants from Tori-Bossito and 275 infants from Allada. Genotyping was performed on Illumina HumanOmni5-4v1 chips. Standard control steps and criteria (Anderson et al. 2010...

Replication data for: No leading-edge effect in North Atlantic harbor porpoises: Evolutionary and conservation implications

Mar 11, 2021 - Porpoises genetics and genomics

Ben Chehida, Yacine; Loughnane, Roisin; Thumloup, Julie; Kaschner, Kristin; Garilao, Cristina; Rosel, Patricia E.; Fontaine, Michael C., 2021, "Replication data for: No leading-edge effect in North Atlantic harbor porpoises: Evolutionary and conservation implications", https://doi.org/10.23708/LMH8Y8, DataSuds, V1, UNF:6:j1jcc4A1Rs+FEedPbYzYIQ== [fileUNF]

These data are accompanying the manuscript "No leading-edge effect in North Atlantic harbor porpoises: Evolutionary and conservation implications" by Ben Chehida Y., Loughnane R., Thumloup J., Kaschner K., Garilao C., Rosel P.E., & Fontaine M.C. The manuscript has been posted as...

Porpoises_NA_All_mtDNA_sequences.fasta

Mar 11, 2021 - Replication data for: No leading-edge effect in North Atlantic harbor porpoises: Evolutionary and conservation implications

Unknown - 655.4 KB -

Data

Fasta alignment of 150 mitochondrial DNA sequences (148 harbor porpoises and 2 Dall's porpoises, see Table S3 in Ben Chehida et al. 2021 Evol. App.). This alignment includes five mitochondrial coding regions (CytB, ATP6, ATP8, ND5, and COX-I). These sequences were used in all the...

Porpoises_NA_Microsatellite_data_cleaned.tab

Mar 11, 2021 - Replication data for: No leading-edge effect in North Atlantic harbor porpoises: Evolutionary and conservation implications

Tabular Data - 100.6 KB - 25 Variables, 925 Observations -

Data

File providing the identifier, geographical group, local sub-group, latitude, longitude, and the genotypes at the 10 microsatellites for 925 harbor porpoises (i.e. individuals with ≤40% of missing data). This dataset was used in all the analyses but the sPCA. The sPCA analysis us...

Porpoises_NA_Unique_haplotypes.fasta

Mar 11, 2021 - Replication data for: No leading-edge effect in North Atlantic harbor porpoises: Evolutionary and conservation implications

Unknown - 469.4 KB -

Data

Fasta alignment of 111 unique mitochondrial DNA haplotypes (110 harbor porpoises and 1 Dall's porpoise). This alignment contains five mitochondrial coding regions (CytB, ATP6, ATP8, ND5, and COXI). These unique sequences were used to infer the phylogenetic tree. For further detai...

Simulated peak flow for the May 16 2019 flood event in Bamako, Mali

Mar 10, 2021 - Rain Cell project in Mali

Bouvier, Christophe; Chahinian, Nanée; Alcoba Kait, Matias; Dembélé, N'dji Dit Jacques; Cazenave, Frédéric, 2021, "Simulated peak flow for the May 16 2019 flood event in Bamako, Mali", https://doi.org/10.23708/PDLP9F, DataSuds, V1

On May 16 2019, an intense rainfall event led to devastating floods in Bamako (Mali). The Rain Cell app Bamako was partially operational, with 6 rain gauges recording and sending in real time rainfall over the city of Bamako. This raster file in ASCII ESRI format contains peakflo...

RainCell_Bamako20190516_qmax_event.txt

Mar 10, 2021 - Simulated peak flow for the May 16 2019 flood event in Bamako, Mali

Plain Text - 107.1 MB -

Data

Simulated peakflow (liters per second). Raster file in ASCII ESRI format ; missing data coded as -9999

AMMA-CATCH associated projects(IRD, CNRS-INSU, OSUG, OMP, OREME)

Mar 10, 2021

Projects associated to the AMMA-CATCH National Observation Service (SNO) "African Monsoon Multidisciplinary Analysis - Coupling the Tropical Atmosphere and the Hydrological Cycle" Access to the main database: http://bd.amma-catch.org

Simulated overbank flow for the May 16 2019 flood event in Bamako, Mali

Mar 9, 2021 - Rain Cell project in Mali

Bouvier, Christophe; Chahinian, Nanée; Alcoba Kait, Matias; Dembélé, N'dji Dit Jacques; Cazenave, Frédéric, 2021, "Simulated overbank flow for the May 16 2019 flood event in Bamako, Mali", https://doi.org/10.23708/RXSSDX, DataSuds, V1

RainCell_Bamako20190516_overbank.txt

Mar 9, 2021 - Simulated overbank flow for the May 16 2019 flood event in Bamako, Mali

Plain Text - 106.6 MB -

Data

Overbank flow (maximum peakflow: liters per seconds). Raster file in ASCII ESRI format ; missing data coded as -9999

Raw data for: Genome-Wide Association study of non-severe malaria in two birth cohorts in Benin

Mar 5, 2021 - UMR MERIT

Jacqueline Milet; Anne Boland; Pierre Luisi; Ibrahim Sadissou; Paulin Sonon; Nadia Domingo; Laure Gineau; Friso Palstra; Hervé Perdry; Achille Massougbodji; Jean-François Deleuze; David Courtin; Audrey Sabbagh; André Garcia, 2019, "Raw data for: Genome-Wide Association study of non-severe malaria in two birth cohorts in Benin", https://doi.org/10.23708/EXSQTM, DataSuds, V2

Whole-genome genotyping data for two cohorts of infants followed for malaria infections in south Benin : 525 infants from Tori-Bossito and 275 infants from Allada. Genotyping was performed on Illumina HumanOmni5-4v1 chips. Standard control steps and criteria (Anderson et al. 2010...

Add Data

Share Dataverse

Link Dataverse

Reset Modifications