Metrics
81,091 Downloads

The Dataverse portal of the International Center for Agricultural Research in Dry Ares (ICARDA) has been set up with the aim of making Findable, Accessible, Interoperable and Reusable (F.A.I.R.) the knowledge produced in research for development frameworks, joined by the Center and its partners. The portal is supported by the CGIAR Research Program on LIVESTOCK, the CGIAR Platform for BIGDATA in Agriculture, and is powered by CODEOBIA and hosted by Amazon Web Services (AWS). You may copy, distribute and transmit the data as long as you acknowledge the source through proper citation as shown below. You may not resale or use the data for any commercial purposes except with written permission from the respective authoring institution(s) and the author(s) concerned. By using the ICARDA Dataverse, the user expressly acknowledges that the data may contain some nonconformities, defects, or errors. No warranty is given that the data will meet the user's needs or expectations or that all nonconformities, defects, or errors can or will be corrected. The user should always verify actual data.

Citation Requirements

In accordance with scientific standards, all users of these data should make appropriate acknowledgement to the producer of the data as well as the distributor using bibliographic citation. Such citations will appear in footnotes or in the reference section of any such manuscript. The citation should use the citation standard documented in http://thedata.org/citation and as shown on the "Data Citation" section of the cataloguing information page for each dataverse study. ICARDA requests a copy of any material produced based on the data. This includes position papers, scientific reports, and graduate papers in addition to publications. All users of the data should use the related publications as a baseline for their analysis whenever possible. Doing so will be an added safeguard against misinterpretation of the data. Related publications are listed in the cataloguing information.

Disclaimer

While utmost care has been taken by ICARDA and data authors when collecting and compiling the data, the data is however offered "as is" with no express or implied warranty. In no event shall the data authors, the authoring institutions be liable for any actual, incidental or consequential damages arising from use of the data.

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.

Advanced Search

791 to 800 of 4,478 Results
MS Excel Spreadsheet - 992.1 KB - MD5: 93ebdb6ba226ae1dfb42c388147edced
Adobe PDF - 264.6 KB - MD5: 47d53bc2709c740913a6c9046413d168
Apr 30, 2024 - Sustainable use and management of scarce water and land resources
Rajabov, Toshpulat; Clifton, Kathryn; Shaumarov, Makhmud; Louhaichi, Mounir, 2015, "Raw data for rangeland vegetation sampling of Central Asia rangelands", https://hdl.handle.net/20.500.11766.1/FK2/YXFYLD, MELDATA, V4
The datasets holds data about rangeland vegetation sampling that was conducted during the spring of 2015 in Karakalpakstan using transect sampling to understand the grazing impact in different land tenure regimes. The collected data includes vegetation density, biomass, species c...
Apr 30, 2024 - Sustainable use and management of scarce water and land resources
Louhaichi, Mounir; Ouled Belgacem, Azaiez; Abdelkader, Mohamed; Ben Salem, Farah, 2017, "The Relevance of Rest Periods in Rangeland Management for Plant Density in Tataouine, Tunisia, Spring 2017", https://hdl.handle.net/20.500.11766.1/FK2/X9IYIU, MELDATA, V7
In southern Tunisia, rangelands are overexploited because the animal needs highly exceed plant production. For most of the skeletal desert soil, the overall vegetation covering oscillates between 1 and 10%; the perennial aerial biomass is lower than 100 kg of dry matter (DM)/ha/y...
Apr 30, 2024 - Collect, Conserve and Use Agricultural Biodiversity
Kehel, Zakaria; Street, Kenneth, 2017, "2017 ICARDA Barley FIGS Set for Frost Tolerance", https://hdl.handle.net/20.500.11766.1/OTBT3L, MELDATA, V5
The FIGSICBFrost2017 FIGS set was created using the Focused Identification of Germplasm Strategy FIGS (http://figs.icarda.org). Daily minimal temperature and precipitation combined with onset information were used for this process. An index was computed using mean and StDev of mi...
Apr 30, 2024 - Collect, Conserve and Use Agricultural Biodiversity
Kehel, Zakaria; Street, Kenneth; Amri, Ahmed, 2017, "2017 ICARDA Barley Net Form and Spot Blotch FIGS Subset", https://hdl.handle.net/20.500.11766.1/J24MBP, MELDATA, V5
The FIGSICBNetFormSpotBlotch2017 set was constructed using evaluation data from more than 875 Barley accessions (http://dx.doi.org/10.1094/PHYTO-04-14-0107-R) and machine learning algorithms including Random Forest, support vector machine and kernel nearest neighbors, and using d...
Apr 30, 2024 - Sustainable use and management of scarce water and land resources
Louhaichi, Mounir; Ouled Belgacem, Azaiez; Abdelkader, Mohamed; Ben Salem, Farah, 2019, "The Relevance of Rest Periods in Rangeland Management for Plant Cover and Species Composition in Tataouine, Tunisia, Spring", https://hdl.handle.net/20.500.11766.1/FK2/ZAJDIV, MELDATA, V7
In southern Tunisia, rangelands are overexploited because the animal needs highly exceed plant production. For most of the skeletal desert soil, the overall vegetation covering oscillates between 1 and 10%; the perennial aerial biomass is lower than 100 kg of dry matter (DM)/ha/y...
Apr 30, 2024 - Collect, Conserve and Use Agricultural Biodiversity
Kehel, Zakaria; Street, Kenneth, 2017, "2017 ICARDA Bread Wheat Crown Rot FIGS Subset", https://hdl.handle.net/20.500.11766.1/VBZZLO, MELDATA, V5
The FIGS_ICBW_CrownRot_2017 FIGS set was created using the Focused Identification of Germplasm Strategy FIGS (http://figs.icarda.org). We used the FAO's harmonized soil database to construct this set. Furthermore, WorldClim data was used to maximize the climatic diversity within...
Apr 30, 2024 - Collect, Conserve and Use Agricultural Biodiversity
Kehel, Zakaria; Street, Kenneth, 2017, "2017 ICARDA Durum Wheat Crown Rot FIGS Subset", https://hdl.handle.net/20.500.11766.1/RSJ7SV, MELDATA, V5
The FIGS_ICDW_CrownRot_2017 FIGS set was created using the Focused Identification of Germplasm Strategy FIGS (http://figs.icarda.org). We used the FAO's harmonized soil database to construct this set. Furthermore, WorldClim data was used to maximize the climatic diversity within...
Add Data

Sign up or log in to create a dataverse or add a dataset.

Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.