cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15159/phytop.102
title: Small lakes 2009

description: Methods of phytoplankton processing. Samples were preserved with Lugol’s (acidified iodine) solution and processed using the Utermöhl (1958) method. Phytoplankton biomass was calculated from counts of cells or colonies using a Nikon Eclipse Ti-S inverted microscope at x200 and x400 magnification. Preserved sample (3 ml) was settled overnight. Identification and measurements took place in the course of counting. Counting units are independent (single) algal cells, colonies or filaments/trichomes. Biovolumes of algal cells, colonies and/or filaments were calculated using assigned geometric shapes dimensions, and converted to biomass assuming the specific density of 1 g cm-3 in accordance with Edler (1979). References of methods accepted Approved by CEN on 14 July 2006 “Water quality - Guidance standard on the enumeration of phytoplankton using inverted microscopy (Utermöhl technique)” (CEN 15204, 2006) European Standard EN 15204:2006 Edler, L. (ed.) 1979. Recommendations on methods for marine biological studies in the Baltic Sea. Phytoplankton and chlorophyll. – BMB WG 9. Utermöhl, H., (1958). Zur Vervollkommnung der quantitativen Phytoplankton-Methodik. Mitteilungen der Internationale Vereinigung für Theoretische und Angewandte Limnologie 9: 1-38. Biovolume calculation for pelagic and benthic microalgae | Request PDF. Available from: https://www.researchgate.net/publication/220031275_Biovolume_calculation_for_pelagic_and_benthic_microalgae [accessed Oct 29 2018]. The most commonly used traditional biomass estimate for microalgae is cell biovolume, which is calculated from microscopically measured linear dimensions (Steinman et al. 1991, Snoeijs 1994, Sommer 1994, 1995, Hillebrand and Sommer 1997). Huber-Pestalozzi, G., Komarek, J., Fott, B. 1983. Das Phytoplankton des Süsswassers. 7(1). Chlorophyceae. Chlorococcales. Stuttgart. 1044. S. Komarek, J., Anagnostidis, K. 1999. Süsswasserflora von Mitteleuropa. 19/1. Cyanoprocaryota. 1. Chroococcales. Elsevier Spectrum Academischer Verlag. Heidelberg. Berlin. 548 S. Komarek, J., Anagnostidis, K. 2005. Süsswasserflora von Mitteleuropa. 19/2. Cyanoprocaryota. 2. Oscillatoriales. Elsevier Spectrum Academischer Verlag. 759 S. Komárek, J., 2013. Cyanoprokaryota 3. Teil: Heterocystous Genera. Süsswasserflora von Mitteleuropa. B. 19/3. Springer Spektrum. 1130 S. Krammer, K., Lange-Bertalot, H. 1997-1991. Süsswasserflora von Mitteleuropa. Bacillariophyceae. B. 2, 1-4. Spectrum Academischer Verlag.Heidelberg. Berlin. Popovský, J., Pfiester, L.A. 2008. Dinophyceae (Dinoflagellida). Süsswasserflora von Mitteleuropa. B. 6. Springer Spektrum. 272 S. Косинская Е.К. 1960. Флора споровых растений СССР. Том 5. Конъюгаты и Сцеплянки. (2). Изд. АН СССР. Москва-Ленинград. 706 стр. In Russian.
DOI: 10.5281/zenodo.7242487
title: Monte Carlo experiment data & IEEE 118 bus data

description: The data files contain Monte Carlo experiment data and IEEE 118 bus data: The data generated through Monte Carlo experiments include four different spatiotemporal residual structures: no correlation, only weak spatial (cross) correlation, only temporal (auto) correlation, and weak spatial-temporal correlation; The IEEE 118 bus data contains 118 voltage observations sampled for 1000 times.
DOI: 10.5281/zenodo.7242486
title: Monte Carlo experiment data & IEEE 118 bus data

description: The data files contain Monte Carlo experiment data and IEEE 118 bus data: The data generated through Monte Carlo experiments include four different spatiotemporal residual structures: no correlation, only weak spatial (cross) correlation, only temporal (auto) correlation, and weak spatial-temporal correlation; The IEEE 118 bus data contains 118 voltage observations sampled for 1000 times.
DOI: 10.5281/zenodo.7503342
title: SnpEff dataset for JG2.1.0

description: This is a SnpEff dataset for JG2.1.0 (the Japanese reference genome sequence).
DOI: 10.5281/zenodo.7503341
title: SnpEff dataset for JG2.1.0

description: This is a SnpEff dataset for JG2.1.0 (the Japanese reference genome sequence).
DOI: 10.15159/phytop.103
title: Small lakes 2009

description: Methods of phytoplankton processing. Samples were preserved with Lugol’s (acidified iodine) solution and processed using the Utermöhl (1958) method. Phytoplankton biomass was calculated from counts of cells or colonies using a Nikon Eclipse Ti-S inverted microscope at x200 and x400 magnification. Preserved sample (3 ml) was settled overnight. Identification and measurements took place in the course of counting. Counting units are independent (single) algal cells, colonies or filaments/trichomes. Biovolumes of algal cells, colonies and/or filaments were calculated using assigned geometric shapes dimensions, and converted to biomass assuming the specific density of 1 g cm-3 in accordance with Edler (1979). References of methods accepted Approved by CEN on 14 July 2006 “Water quality - Guidance standard on the enumeration of phytoplankton using inverted microscopy (Utermöhl technique)” (CEN 15204, 2006) European Standard EN 15204:2006 Edler, L. (ed.) 1979. Recommendations on methods for marine biological studies in the Baltic Sea. Phytoplankton and chlorophyll. – BMB WG 9. Utermöhl, H., (1958). Zur Vervollkommnung der quantitativen Phytoplankton-Methodik. Mitteilungen der Internationale Vereinigung für Theoretische und Angewandte Limnologie 9: 1-38. Biovolume calculation for pelagic and benthic microalgae | Request PDF. Available from: https://www.researchgate.net/publication/220031275_Biovolume_calculation_for_pelagic_and_benthic_microalgae [accessed Oct 29 2018]. The most commonly used traditional biomass estimate for microalgae is cell biovolume, which is calculated from microscopically measured linear dimensions (Steinman et al. 1991, Snoeijs 1994, Sommer 1994, 1995, Hillebrand and Sommer 1997). Huber-Pestalozzi, G., Komarek, J., Fott, B. 1983. Das Phytoplankton des Süsswassers. 7(1). Chlorophyceae. Chlorococcales. Stuttgart. 1044. S. Komarek, J., Anagnostidis, K. 1999. Süsswasserflora von Mitteleuropa. 19/1. Cyanoprocaryota. 1. Chroococcales. Elsevier Spectrum Academischer Verlag. Heidelberg. Berlin. 548 S. Komarek, J., Anagnostidis, K. 2005. Süsswasserflora von Mitteleuropa. 19/2. Cyanoprocaryota. 2. Oscillatoriales. Elsevier Spectrum Academischer Verlag. 759 S. Komárek, J., 2013. Cyanoprokaryota 3. Teil: Heterocystous Genera. Süsswasserflora von Mitteleuropa. B. 19/3. Springer Spektrum. 1130 S. Krammer, K., Lange-Bertalot, H. 1997-1991. Süsswasserflora von Mitteleuropa. Bacillariophyceae. B. 2, 1-4. Spectrum Academischer Verlag.Heidelberg. Berlin. Popovský, J., Pfiester, L.A. 2008. Dinophyceae (Dinoflagellida). Süsswasserflora von Mitteleuropa. B. 6. Springer Spektrum. 272 S. Косинская Е.К. 1960. Флора споровых растений СССР. Том 5. Конъюгаты и Сцеплянки. (2). Изд. АН СССР. Москва-Ленинград. 706 стр. In Russian.
DOI: 10.5255/ukda-sn-856121
title: Task-Switch Costs Following Non-Completed Trial Types: Four Sets of Experiments, 2018-2022

description: There are four sets of experiments in this collection. The experiments in SET1 were designed to allow us to measure and compare the sizes of potential costs of a switch between tasks when on the preceding trial the task had not been completed in the standard way. The different experiments include different sets of non-completed trial types. The experiments in SET2 were designed to allow us to investigate the effects of explicitly indicating when a trial had finished, and of different types of task cue, upon the size of the switch cost measured on the subsequent trial. The experiments in SET3 were designed to enable us to assess whether there would be any difference between the sizes of switch costs measured on trials following different types of nogo trial. The experiments in SET4 were designed to enable us to assess whether the nature of switch costs would differ following cue-only trials versus following completed trials.
DOI: 10.5519/qd.hk2qtxl7
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (250 records)
DOI: 10.20372/eiar-rdm/vviu32/3nerrx
title: 142968-Article Text-379908-1-10-20160829.pdf

description: :unav
DOI: 10.20372/eiar-rdm/vviu32
title: Selected Physical and Chemical Characteristics of Soils of the Middle Awash Irri

description: The irrigation based cotton production system in the Middle Awash basin has got progressive productivity decline in the present times. A study was made to provide basic information with regard to the present fertility status and physical characteristics on the soils of the basin. Based on soil color, texture, and land use, 12 pedons were opened in Melka-Sedi farm and Werer Agricultural Research Center and studied for their physical and chemical characteristic. Results showed that the main soil types were Salic Fluvisos, Eutric Fluvisols and Eutric Vertisols. Among these soil types, Eutric Flvisoils occupies the largest portion of the cultivated land of the basin. Salic and Eutic Fluvisols show stratification with weak horizon differentiation with alternating silt and clay particle size dominance within profile depth, while the Eutric Vertisols have homogenous solum overlaying stratified subsoil. Eutric and Salic Fluvisols have 1.2 - 1.3 g cm-3 bulk density, pH values ranging from 7.0 - 8.4 and high ECe (37 dS m-1). The bulk density, pH and the average ECe of the Eutric Vertisol ranges from 1.3-1.6 g cm-3 , 8.1- 8.4 and 0.5 dS m-1, respectively. Total nitrogen in all soil types is low to medium, while available phosphorous and CEC is high. The fertility status of the irrigated soils of the middle Awash as observed from this work is medium to high except the toxic concentration of Mn and deficiency of Zn. Undesirable salt accumulation commonly aggravates salinity and sodicity in the area.
DOI: 10.20372/eiar-rdm/mgmzzc/97kks1
title: 142862-Article Text-379667-1-10-20160825.pdf

description: :unav
DOI: 10.20372/eiar-rdm/mgmzzc
title: Amplified Fragment Length Polymorphism of Puccinia graminis f. sp. tritici populations in Ethiopia

description: The genetic structure of forty eight Ethiopian Puccinia graminis f. sp. tritici (Pgt) isolates, representing three major wheat growing regions was investigated using 15 AFLP primer combinations. AFLP analysis generated large number of polymorphic bands (markers) and allowed easy identification of the different genotypes. The study showed a high level of genetic diversity within the isolates. There was no population subdivision based on origin of isolates as reflected by a low coefficient of genetic differentiation (0.107), and a single dendrogram cluster consisting of all isolates except three. Gene flow among populations was estimated to be high. The AFLP analysis characterized the isolates to have high genetic diversity and homogeneity across regions. The developed AFLP fingerprints for the Ethiopian Pgt isolates reported herein could support the breeding program to develop strategies for the deployment of resistance genes in its continued effort to minimize the impact of stem rust on wheat in Ethiopia.
DOI: 10.20372/eiar-rdm/mqwhxx/9wjqok
title: 142969-Article Text-379910-1-10-20160829.pdf

description: :unav
DOI: 10.20372/eiar-rdm/mqwhxx
title: Field Performance of Tagasaste (Chamaecytisus palmensis) Under Different Harvesting Management in a Tropical Highland Area of Ethiopia

description: Tagasaste (Chamaecytisus palmensis) is one of productive multipurpose tree species grown in the tropical highlands of Ethiopia. Despite its potential role as a source of forage and natural resource conservation, adequate studies were not made on agronomic practices such as establishment, harvesting managements and utilization. The objectives of this study were to investigate the effect of establishment and subsequent harvesting managements on biomass (BM) yield, crude protein (CP) content, botanical fractions of total biomass and persistency of tagasaste. Establishment of tagasaste was undertaken for three consecutive years at Holeta Research Center (HRC) in the highlands of Ethiopia. The two harvesting management trials, harvesting stage and growing season were arranged separately in a randomized complete block design with three replications. In harvesting stage study, four treatments of harvesting stage including HS1 (3 harvests per year at 4 months interval), HS2 (2 harvests per year at 6 months interval), HS3 (one harvest at 8 months and the 2nd harvest after 4 months) and HS4 (one harvest at 10 months and the 2nd harvest after 2 months) were compared annually. In the growing season study, tagasaste was allowed to regrow for 6 months so that exposed to the main rain, dry and short rainy seasons of the area. Planting and harvesting year had a significant (P&lt;0.01) effect on BM yield during establishment and subsequent years. Mean annual dry BM yield was 7.3, 9.5 and 11.3 t ha-1, out of which about 55% was edible forage during the establishment, second and third year, respectively. Tagasaste produced 7.7, 11.8, 9.9 and 12.2 t ha-1 dry BM and 0.72, 0.97, 0.83 and 1.12 t ha-1 CP from edible forage when harvested at HS1, HS2, HS3 and HS4, respectively. Tagasaste regrowth during the main rainy season, dry season and short rainy season produced 6.7, 1.7 and 5.8 t ha-1 dry BM per 6 months, respectively. From this study it is concluded that harvesting management could substantially improve performance and annual yield of tagasaste. Harvesting either at HS2 or HS4 improved BM, edible forage and CP yields of tagasaste. Therefore, these agronomic management practices has vital role to increase the productivity of tagasate in the central highlands of Ethiopia.
DOI: 10.20372/eiar-rdm/rkeojk/zwcxop
title: 142966-Article Text-379904-1-10-20160829.pdf

description: :unav
DOI: 10.34740/kaggle/dsv/4807047
title: Global Genomic Neurofibromatosis Neoplasia
DOI: 10.20372/eiar-rdm/rkeojk
title: Heritability of Drought Adaptive Traits and Relationships with Grain Yield in Maize Grown under High Plant Population

description: In low-moisture stress areas with unpredictable rain-free season, high-plant population is suggested for screening maize genotypes with tolerance to drought at flowering as alternative to stressed normal plant density. To confirm efficiency of this option, randomly derived 196 S1 lines from A-511 Maize Population were tested at two plant densities in combination with well watered and drought stressed at flowering. In each of the four environments, the S1 lines were grown in 14 x 14 alpha lattice experimental design to estimate: (i) broad-sense heritability of each tested trait; and (ii) relationships between grain yield and drought adaptive traits. The broad sense heritabilities of flowering traits were relatively high across all growing conditions. In contrast, the heritability for number of ears per plant (EPP) increased with increasing plant density and/or drought stress as for yield and most other traits decreased. Besides, significant association of grain yield with its components and flowering traits observed across all growing conditions in the same direction and opposite direction, respectively. Although relationships of yield with the drought adaptive traits increased consistently with increasing stress, it was highly dependent on its components in all environments but only under stress condition on anthesis-silking interval (ASI). In addition to significant expression of desirable parameters for a population improvement in the stress tolerance, ASI and EPP are relatively easily measured on field as compared to other drought adaptive traits. Thus, the strong dependence of yield on both traits and their high heritability in each or combination of the two stresses have confirmed possibility of using them for screening drought tolerant maize under high plant density, specially in areas that lack rain-free season.
DOI: 10.20372/eiar-rdm/l6scs8/i9fl2s
title: 142960-Article Text-379892-1-10-20160829.pdf

description: :unav
DOI: 10.20372/eiar-rdm/l6scs8
title: Biocontrol (Formulation of Bacillus firmus (BioNem)) of Root-knot Nematode, Meloidogyne incognita on Tomato Plants in the Field

description: Bacillus firmus, commercial WP formulation (BioNem) was evaluated against root-knot nematode, Meloidogne incognita on tomato plants under field conditions of Dire Dawa and Haramaya University (Ethiopia). Studies were conducted with the objectives to find out the effect of BioNem on nematode infestation and plant growth/yield of tomato and to compare two methods of application of BioNem for the control of root-knot under field conditions. Soil application of BioNem at transplanting in the field @ 200 and 400 kg/ha provided control of root-knot nematode and increased crop growth and yield over untreated control significantly. Dip treatment of tomato nursery in 2% and 4% BioNem suspension for 2 hrs just before transplanting also reduced root-knot nematode infestation and improved crop growth and yield, though it was less effective than soil application of BioNem. In general, our result indicated, BioNem seems to be effective for the management of root-knot nematode and has the potential to be a vital component of integrated management for root-knot nematode.
DOI: 10.25550/2e-dst8
title: microCT scan of 12.5 mm euthyroid Danio rerio head

description: 3D microCT scan of a euthyroid D. rerio head at 12.5 mm standard length
DOI: 10.25550/2e-dsvj
title: microCT scan of 23.0 mm euthyroid Danio rerio head

description: 3D microCT scan of a euthyroid D. rerio head at 23.0 mm standard length
DOI: 10.25550/2e-dsvm
title: microCT scan of 23.5 mm euthyroid Danio rerio head

description: 3D microCT scan of a euthyroid D. rerio head at 23.5 mm standard length
DOI: 10.25550/2e-dsvp
title: microCT scan of 24.0 mm euthyroid Danio rerio head

description: 3D microCT scan of a euthyroid D. rerio head at 24.0 mm standard length
DOI: 10.25550/2e-dsvr
title: microCT scan of 24.5 mm euthyroid Danio rerio head

description: 3D microCT scan of a euthyroid D. rerio head at 24.5 mm standard length
DOI: 10.25550/2e-dsta
title: microCT scan of 13.0 mm euthyroid Danio rerio head

description: 3D microCT scan of a euthyroid D. rerio head at 13.0 mm standard length
DOI: 10.25550/2e-dstc
title: microCT scan of 13.5 mm euthyroid Danio rerio head

description: 3D microCT scan of a euthyroid D. rerio head at 13.5 mm standard length
DOI: 10.25550/2e-dste
title: microCT scan of 14.0 mm euthyroid Danio rerio head

description: 3D microCT scan of a euthyroid D. rerio head at 14.0 mm standard length
DOI: 10.25550/2e-dstg
title: microCT scan of 14.5 mm euthyroid Danio rerio head

description: 3D microCT scan of a euthyroid D. rerio head at 14.5 mm standard length
DOI: 10.25550/2e-dstj
title: microCT scan of 15.0 mm euthyroid Danio rerio head

description: 3D microCT scan of a euthyroid D. rerio head at 15.0 mm standard length
DOI: 10.25550/2e-dstm
title: microCT scan of 15.5 mm euthyroid Danio rerio head

description: 3D microCT scan of a euthyroid D. rerio head at 15.5 mm standard length
DOI: 10.25550/2e-dstp
title: microCT scan of 16.0 mm euthyroid Danio rerio head

description: 3D microCT scan of a euthyroid D. rerio head at 16.0 mm standard length
DOI: 10.25550/2e-dstr
title: microCT scan of 16.5 mm euthyroid Danio rerio head

description: 3D microCT scan of a euthyroid D. rerio head at 16.5 mm standard length
DOI: 10.25550/2e-dstt
title: microCT scan of 17.0 mm euthyroid Danio rerio head

description: 3D microCT scan of a euthyroid D. rerio head at 17.0 mm standard length
DOI: 10.25550/2e-dstw
title: microCT scan of 17.5 mm euthyroid Danio rerio head

description: 3D microCT scan of a euthyroid D. rerio head at 17.5 mm standard length
DOI: 10.25550/2e-dsty
title: microCT scan of 18.0 mm euthyroid Danio rerio head

description: 3D microCT scan of a euthyroid D. rerio head at 18.0 mm standard length
DOI: 10.25550/2e-dsv0
title: microCT scan of 18.5 mm euthyroid Danio rerio head

description: 3D microCT scan of a euthyroid D. rerio head at 18.5 mm standard length
DOI: 10.25550/2e-dsv2
title: microCT scan of 19.0 mm euthyroid Danio rerio head

description: 3D microCT scan of a euthyroid D. rerio head at 19.0 mm standard length
DOI: 10.25550/2e-dsv4
title: microCT scan of 19.5 mm euthyroid Danio rerio head

description: 3D microCT scan of a euthyroid D. rerio head at 19.5 mm standard length
DOI: 10.25550/2e-dsv6
title: microCT scan of 20.0 mm euthyroid Danio rerio head

description: 3D microCT scan of a euthyroid D. rerio head at 20.0 mm standard length
DOI: 10.25550/2e-dsv8
title: microCT scan of 20.5 mm euthyroid Danio rerio head

description: 3D microCT scan of a euthyroid D. rerio head at 20.5 mm standard length
DOI: 10.25550/2e-dsva
title: microCT scan of 21.0 mm euthyroid Danio rerio head

description: 3D microCT scan of a euthyroid D. rerio head at 21.0 mm standard length
DOI: 10.25550/2e-dsvc
title: microCT scan of 21.5 mm euthyroid Danio rerio head

description: 3D microCT scan of a euthyroid D. rerio head at 21.5 mm standard length
DOI: 10.25550/2e-dsve
title: microCT scan of 22.0 mm euthyroid Danio rerio head

description: 3D microCT scan of a euthyroid D. rerio head at 22.0 mm standard length
DOI: 10.25550/2e-dsvg
title: microCT scan of 22.5 mm euthyroid Danio rerio head

description: 3D microCT scan of a euthyroid D. rerio head at 22.5 mm standard length
DOI: 10.25550/2e-dsvt
title: microCT scan of 25.0 mm euthyroid Danio rerio head

description: 3D microCT scan of a euthyroid D. rerio head at 25.0 mm standard length
DOI: 10.5281/zenodo.7503246
title: Novel Strategy to Regulate PD-L1 Expression and Enhance Anti-Tumor Effect

description: Figs source data
DOI: 10.5281/zenodo.7503245
title: Novel Strategy to Regulate PD-L1 Expression and Enhance Anti-Tumor Effect

description: Figs source data
DOI: 10.5517/ccdc.csd.cc26zm3y
title: CCDC 2055210: Experimental Crystal Structure Determination

description: Related Article: Hai-Xin Zhang, Jin-Guang Si, Jing-Rong Li, Meng Yu, Ling-Ling Qin, Chen-Xu Zhao, Tao Zhang, Zhong-Mei Zou|2023|Phytochemistry|206|113545|doi:10.1016/j.phytochem.2022.113545
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2b6gtv
title: CCDC 2151177: Experimental Crystal Structure Determination

description: Related Article: Tushar S. Basu Baul, Bietlaichhai Hlychho, Maheswara Rao Addepalli, Andrew Duthie, Olivia Sarkar, Arpan Dey Bhowmik, Ansuman Chattopadhyay, María G. Vasquez-Ríos, Herbert Höpfl|2022|J.Mol.Struct.|1277|134827|doi:10.1016/j.molstruc.2022.134827
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2b6gvw
title: CCDC 2151178: Experimental Crystal Structure Determination

description: Related Article: Tushar S. Basu Baul, Bietlaichhai Hlychho, Maheswara Rao Addepalli, Andrew Duthie, Olivia Sarkar, Arpan Dey Bhowmik, Ansuman Chattopadhyay, María G. Vasquez-Ríos, Herbert Höpfl|2022|J.Mol.Struct.|1277|134827|doi:10.1016/j.molstruc.2022.134827
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.