cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.19929260
title: Initial performance of Achillea millefolium in response of humic acids

description: ABSTRACT Owing to numerous health benefits, the cultivation of medicinal plants has significantly increased. Achillea millefolium L. (common names: milefoil, yarrow) is attributed important medicinal properties. Consumers of herbal medicinal products demand for production systems based on ecological farming principles, thus an interesting technology would be application biostimulant based on humic acids. The objective of this study was to evaluate the rooting and initial performance of Achillea millefolium in response to the use of humic acids (HA) isolated from composted cattle manure and poultry litter and applied in different concentrations (0, 10, 20, 30, and 40 mmolL-1 of HA) at the propagation phase. Rooting and plant biomass accumulation were analyzed. Humic acids derived from poultry litter promoted root development and increase of fresh biomass and total dry mass, proving their biostimulant effect. The optimal concentration of humic acids estimated for the initial development of A. millefolium was 22.25 mmolL-1.
DOI: 10.6084/m9.figshare.19929260.v1
title: Initial performance of Achillea millefolium in response of humic acids

description: ABSTRACT Owing to numerous health benefits, the cultivation of medicinal plants has significantly increased. Achillea millefolium L. (common names: milefoil, yarrow) is attributed important medicinal properties. Consumers of herbal medicinal products demand for production systems based on ecological farming principles, thus an interesting technology would be application biostimulant based on humic acids. The objective of this study was to evaluate the rooting and initial performance of Achillea millefolium in response to the use of humic acids (HA) isolated from composted cattle manure and poultry litter and applied in different concentrations (0, 10, 20, 30, and 40 mmolL-1 of HA) at the propagation phase. Rooting and plant biomass accumulation were analyzed. Humic acids derived from poultry litter promoted root development and increase of fresh biomass and total dry mass, proving their biostimulant effect. The optimal concentration of humic acids estimated for the initial development of A. millefolium was 22.25 mmolL-1.
DOI: 10.6084/m9.figshare.19929262
title: 6-Benzylaminopurine and 3-Indolebutyric acid on the in vitro multiplication of Eugenia involucrata

description: ABSTRACT Eugenia involucrata is an important Brazilian forest species, which it can be used for timber, such as firewood and charcoal, and non-timber purposes, for culinary and medicinal use. Considering the limitations of its seminal reproduction, vegetative propagation, particularly by micropropagation, becomes an alternative for plantlets production. In this study we evaluated the effect of the phytoregulators 6-benzylaminopurine (BAP) and 3-indolebutyric acid (IBA) on the in vitro multiplication stage of nodal segments. The experiment was carried out in a completely randomized design, in a 3 x 4 factorial array, the main factors were BAP (0; 0.1 or 0.2 µM) and IBA (0; 10; 20 or 30 µM). After 60 days of in vitro inoculation, evaluations on the the number of buds, number of shoots, number of leaves, callus formation (%) and number of roots per explant were carried out. BAP had not significant effect, however, the use of IBA alone favours the callogenesis and negatively affected leaves, shoots and roots formation. A moderate multiplication rate was obtained when considering in vitro bud formation. BAP and IBA are dispensable in in vitro multiplication of E. involucrata.
DOI: 10.6084/m9.figshare.19929262.v1
title: 6-Benzylaminopurine and 3-Indolebutyric acid on the in vitro multiplication of Eugenia involucrata

description: ABSTRACT Eugenia involucrata is an important Brazilian forest species, which it can be used for timber, such as firewood and charcoal, and non-timber purposes, for culinary and medicinal use. Considering the limitations of its seminal reproduction, vegetative propagation, particularly by micropropagation, becomes an alternative for plantlets production. In this study we evaluated the effect of the phytoregulators 6-benzylaminopurine (BAP) and 3-indolebutyric acid (IBA) on the in vitro multiplication stage of nodal segments. The experiment was carried out in a completely randomized design, in a 3 x 4 factorial array, the main factors were BAP (0; 0.1 or 0.2 µM) and IBA (0; 10; 20 or 30 µM). After 60 days of in vitro inoculation, evaluations on the the number of buds, number of shoots, number of leaves, callus formation (%) and number of roots per explant were carried out. BAP had not significant effect, however, the use of IBA alone favours the callogenesis and negatively affected leaves, shoots and roots formation. A moderate multiplication rate was obtained when considering in vitro bud formation. BAP and IBA are dispensable in in vitro multiplication of E. involucrata.
DOI: 10.6084/m9.figshare.19929265
title: Evaluation of physicochemical, bioactive composition and profile of fatty acids in leaves of different olive cultivars

description: ABSTRACT Olive leaves are agro-industrial residues resulting from pruning and / or olive harvesting, and are used in animal feed, as an organic fertilizer and as a source of compound extraction for various applications. This study aimed to carry out the physicochemical characterization, main bioactive compounds and the fatty acid profile of olive leaves from the cultivars Frantoio, Koroneike, Manzanilha, Arbosana and Arbequina. Proximal composition, pH, titratable acidity, minerals by MIP OES, bioactive compounds were determined by spectrophotometry, oleuropein and tocopherols by high performance liquid chromatography and the fatty acid profile by gas chromatography. The olive leaves had a high content of fibers and proteins, the predominant minerals were potassium and calcium, in addition the olive leaves had a high content of bioactive compounds, mainly flavonoids and carotenoids and the cultivar Koroneike had a higher content of oleuropein compared to the others. In relation to tocopherols, α-tocopherol stood out from the other tocopherols with the maximum concentration (63436.79 mg.100g-1) measured in the cultivar Arbequina. In view of the results found, it is concluded that olive leaves are sources of macromolecules, bioactive compounds and fatty acids, which can be extracted and applied in the most diverse areas.
DOI: 10.6084/m9.figshare.19929265.v1
title: Evaluation of physicochemical, bioactive composition and profile of fatty acids in leaves of different olive cultivars

description: ABSTRACT Olive leaves are agro-industrial residues resulting from pruning and / or olive harvesting, and are used in animal feed, as an organic fertilizer and as a source of compound extraction for various applications. This study aimed to carry out the physicochemical characterization, main bioactive compounds and the fatty acid profile of olive leaves from the cultivars Frantoio, Koroneike, Manzanilha, Arbosana and Arbequina. Proximal composition, pH, titratable acidity, minerals by MIP OES, bioactive compounds were determined by spectrophotometry, oleuropein and tocopherols by high performance liquid chromatography and the fatty acid profile by gas chromatography. The olive leaves had a high content of fibers and proteins, the predominant minerals were potassium and calcium, in addition the olive leaves had a high content of bioactive compounds, mainly flavonoids and carotenoids and the cultivar Koroneike had a higher content of oleuropein compared to the others. In relation to tocopherols, α-tocopherol stood out from the other tocopherols with the maximum concentration (63436.79 mg.100g-1) measured in the cultivar Arbequina. In view of the results found, it is concluded that olive leaves are sources of macromolecules, bioactive compounds and fatty acids, which can be extracted and applied in the most diverse areas.
DOI: 10.5281/zenodo.6592029
title: SuperDARN data in netCDF format (2007-May)

description: 2007-May SuperDARN radar data in netCDF format. These files were produced using versions 2.5 and 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.The RST is available here: https://github.com/SuperDARN/rstThe research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation. Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications. A brief statement on how to acknowledge use of SuperDARN data is provided below.Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication. A listing of radars and PIs with contact information can be found here: (SuperDARN Radar Overview)<strong>Recommended form of acknowledgement for the use of SuperDARN data:</strong>'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.5281/zenodo.6592019
title: SuperDARN data in netCDF format (2007-Jun)

description: 2007-Jun SuperDARN radar data in netCDF format. These files were produced using versions 2.5 and 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.The RST is available here: https://github.com/SuperDARN/rstThe research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation. Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications. A brief statement on how to acknowledge use of SuperDARN data is provided below.Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication. A listing of radars and PIs with contact information can be found here: (SuperDARN Radar Overview)<strong>Recommended form of acknowledgement for the use of SuperDARN data:</strong>'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.5281/zenodo.6592046
title: SuperDARN data in netCDF format (2007-Apr)

description: 2007-Apr SuperDARN radar data in netCDF format. These files were produced using versions 2.5 and 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.The RST is available here: https://github.com/SuperDARN/rstThe research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation. Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications. A brief statement on how to acknowledge use of SuperDARN data is provided below.Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication. A listing of radars and PIs with contact information can be found here: (SuperDARN Radar Overview)<strong>Recommended form of acknowledgement for the use of SuperDARN data:</strong>'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.5281/zenodo.6592081
title: SuperDARN data in netCDF format (2007-Feb)

description: 2007-Feb SuperDARN radar data in netCDF format. These files were produced using versions 2.5 and 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.The RST is available here: https://github.com/SuperDARN/rstThe research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation. Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications. A brief statement on how to acknowledge use of SuperDARN data is provided below.Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication. A listing of radars and PIs with contact information can be found here: (SuperDARN Radar Overview)<strong>Recommended form of acknowledgement for the use of SuperDARN data:</strong>'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.6084/m9.figshare.19929266.v1
title: Micropropagation of Physalis species with economic potential

description: ABSTRACT The objective of this work was to evaluate asepsis protocols, composition and concentration of culture media in the in vitro establishment of three physalis species. In experiment I, seeds of 3 species were used x 3 asepsis protocols. In experiment II, 3 culture media and explants 3 species were used. In experiment III, explants of 2 species x 4 concentrations of MS culture medium were used. In experiment IV, explants of 2 species x 4 sucrose concentrations were used. For experiments II, III and IV after 30 days were evaluated some phytotechnical parameters. The experimental design was completely randomized, in a 3 x 3 (experiments I and II) and 2 x 4 (experiments III and IV) factorial scheme. Protocols II and III were appropriate for P. peruviana germination, and I and III for P. minima, the three protocols were efficient for controlling fungi and bacteria. The MS is the most suitable for the in vitro establishment of three species. The culture medium at 100% concentration obtained better values in the in vitro development parameters evaluated for the species P. peruviana and P. minima. Sucrose concentrations close to 50 and 20 g L-1 favored the establishment of P. peruviana and P. minima.
DOI: 10.6084/m9.figshare.19929266
title: Micropropagation of Physalis species with economic potential

description: ABSTRACT The objective of this work was to evaluate asepsis protocols, composition and concentration of culture media in the in vitro establishment of three physalis species. In experiment I, seeds of 3 species were used x 3 asepsis protocols. In experiment II, 3 culture media and explants 3 species were used. In experiment III, explants of 2 species x 4 concentrations of MS culture medium were used. In experiment IV, explants of 2 species x 4 sucrose concentrations were used. For experiments II, III and IV after 30 days were evaluated some phytotechnical parameters. The experimental design was completely randomized, in a 3 x 3 (experiments I and II) and 2 x 4 (experiments III and IV) factorial scheme. Protocols II and III were appropriate for P. peruviana germination, and I and III for P. minima, the three protocols were efficient for controlling fungi and bacteria. The MS is the most suitable for the in vitro establishment of three species. The culture medium at 100% concentration obtained better values in the in vitro development parameters evaluated for the species P. peruviana and P. minima. Sucrose concentrations close to 50 and 20 g L-1 favored the establishment of P. peruviana and P. minima.
DOI: 10.5281/zenodo.6591987
title: SuperDARN data in netCDF format (2007-Aug)

description: 2007-Aug SuperDARN radar data in netCDF format. These files were produced using versions 2.5 and 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.The RST is available here: https://github.com/SuperDARN/rstThe research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation. Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications. A brief statement on how to acknowledge use of SuperDARN data is provided below.Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication. A listing of radars and PIs with contact information can be found here: (SuperDARN Radar Overview)<strong>Recommended form of acknowledgement for the use of SuperDARN data:</strong>'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.5281/zenodo.6592008
title: SuperDARN data in netCDF format (2007-Jul)

description: 2007-Jul SuperDARN radar data in netCDF format. These files were produced using versions 2.5 and 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.The RST is available here: https://github.com/SuperDARN/rstThe research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation. Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications. A brief statement on how to acknowledge use of SuperDARN data is provided below.Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication. A listing of radars and PIs with contact information can be found here: (SuperDARN Radar Overview)<strong>Recommended form of acknowledgement for the use of SuperDARN data:</strong>'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.5281/zenodo.6592056
title: SuperDARN data in netCDF format (2007-Mar)

description: 2007-Mar SuperDARN radar data in netCDF format. These files were produced using versions 2.5 and 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.The RST is available here: https://github.com/SuperDARN/rstThe research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation. Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications. A brief statement on how to acknowledge use of SuperDARN data is provided below.Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication. A listing of radars and PIs with contact information can be found here: (SuperDARN Radar Overview)<strong>Recommended form of acknowledgement for the use of SuperDARN data:</strong>'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.5281/zenodo.6591920
title: SuperDARN data in netCDF format (2007-Oct)

description: 2007-Oct SuperDARN radar data in netCDF format. These files were produced using versions 2.5 and 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.The RST is available here: https://github.com/SuperDARN/rstThe research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation. Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications. A brief statement on how to acknowledge use of SuperDARN data is provided below.Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication. A listing of radars and PIs with contact information can be found here: (SuperDARN Radar Overview)<strong>Recommended form of acknowledgement for the use of SuperDARN data:</strong>'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.5281/zenodo.6591914
title: SuperDARN data in netCDF format (2007-Nov)

description: 2007-Nov SuperDARN radar data in netCDF format. These files were produced using versions 2.5 and 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.The RST is available here: https://github.com/SuperDARN/rstThe research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation. Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications. A brief statement on how to acknowledge use of SuperDARN data is provided below.Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication. A listing of radars and PIs with contact information can be found here: (SuperDARN Radar Overview)<strong>Recommended form of acknowledgement for the use of SuperDARN data:</strong>'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.5281/zenodo.6591933
title: SuperDARN data in netCDF format (2007-Sep)

description: 2007-Sep SuperDARN radar data in netCDF format. These files were produced using versions 2.5 and 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.The RST is available here: https://github.com/SuperDARN/rstThe research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation. Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications. A brief statement on how to acknowledge use of SuperDARN data is provided below.Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication. A listing of radars and PIs with contact information can be found here: (SuperDARN Radar Overview)<strong>Recommended form of acknowledgement for the use of SuperDARN data:</strong>'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'