cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.20372/eiar-rdm/fak3u0
title: Integration of Information on Climate, Soil and Cultivar to Increase Water Productivity of Maize in Semi-arid Eco-regions of Ethiopia

description: Climate related risks highly influence crop performance and thus water productivity in different eco-regions of Ethiopia. In view of its low rainfall and short growing period, the semi-arid eco-regions like the Central Rift Valley of Ethiopia (CRV) are the most affected. A study was conducted in Bofa, CRV to utilize climate information in guiding cropping and water management decisions. Tercile probability was computed to characterize rainy seasons into best (April), expected (May) and worst case (June) planting scenarios. Three independent experiments were designed to fit planting scenarios. In each set, one improved and one local maize cultivars (best: BH660 and Bolonde; medium: A511 and Limat; worst: Melkassa-1 and Shaye) were combined with three tillage practices: Modified-Moldboard Plow (MMP), Wing-Plow (WP) and local Maresha. Rainwater productivity and grain yield were compared. The results illustrate differences among planting scenarios and suggesting early planting decision is a possible practice in semi-arid CRV when soil water conserving tillage is integrated to escape climate associated risks. BH660 shows higher water productivity (9.46 kgmm-1 of rainfall) under 2*MMP tillage than late plantings in experimental years. About 84 % of the variability in grain yield (BH660), 88% (Bolondie), 76% (A-511) and 70% (Limat) can be explained by the available soil water in crop root zone at planting. Hence, integration of climate information, tillage practices and cultivar choice enabled not only successful aversion of climate related risks for long duration maize but also increased yield and rain water productivity in semi-arid areas. Furthermore, tailored rainfall forecast can help in selection of planting scenarios, tillage practices and crop cultivars in advance and further increase probability of success.
DOI: 10.20372/eiar-rdm/nnk02e/g7xkm7
title: 142857-Article Text-379657-1-10-20160825.pdf

description: :unav
DOI: 10.20372/eiar-rdm/nnk02e
title: Evaluation of Vetch Species and their Accessions for Agronomic Performance and Nutritive Value in the Central Highlands of Ethiopia

description: Twenty accessions of five vetch species were evaluated for agronomic and nutritional attributes at Holetta and Ginchi in the central highlands of Ethiopia during 2009 main cropping season. The experiment was conducted in randomized complete block design with three replications. Most measured parameters revealed significant (P&lt;0.05) difference between the treatments and locations. Vicia narbonensis and Vicia sativa were erect, short plant height and early maturing for both forage and seed yields, while Vicia dasycarpa, Vicia villosa and Vicia atropurpurea have creeping growth habit, tall plant height and intermediate to late maturity for forage and seed yields. Taller species gave better forage dry matter yield while early maturing species have higher seed yield and thousand seed weight and the difference between the highest and the lowest was 0.4 and 0.9 t/ha for seed yield and 178.7 and 199.7g for thousand seed weight at Holetta and Ginchi respectively. Among vetch species, Vicia dasycarpa have higher crude protein and digestibility but lower fiber contents. Correlation analysis indicated that forage dry matter yield was positively associated with days to forage and seed harvests, plant height, crude protein and digestibility. The result of this study is important for mixed cropping with food crops.
DOI: 10.5281/zenodo.7500321
title: MUSES Fractional Vegetation Coverage (FVC) 8-Day Global 250m SIN Grid in 2018 (185–361)

description: The MUltiscale Satellite remotE Sensing (MUSES) product suite includes products with different spatial and temporal resolutions for parameters such as Normalized Difference Vegetation Index (NDVI), Near-Infrared Reflectance of Vegetation (NIRv), Leaf Area Index (LAI), Fraction of Absorbed Photosynthetically Active Radiation (FAPAR), Fractional Vegetation Coverage (FVC), Gross Primary Production (GPP), Net Primary Production (NPP). For more information about the MUSES products, please refer to this website (https://muses.bnu.edu.cn/). This dataset is the MUSES global FVC product at 250m spatial resolution and 8-day temporal resolution. The MUSES FVC product is provided on a Sinusoidal grid and spans from 2000 to 2019 (continuously updated). It was generated from the MUSES LAI product at 250m resolution and other ancillary information using the complement to unity of the transmittance of light through the entire canopy in the nadir viewing direction (Xiao <em>et al</em>., 2016). The MUSES FVC values are physically consistent with the corresponding MUSES LAI values. The MUSES FVC product is spatially complete and temporally continuous. This dataset is the MUSES FVC product in 2018 (185–361). <em>Please <strong>click here</strong> to download the MUSES FVC product <strong>in 2018 (001–177)</strong> and <em><strong>click here</strong> to download the MUSES FVC produ</em>ct <strong>in 2019 (001–177)</strong></em>. <strong>Dataset Characteristics:</strong> Spatial Coverage: Global Temporal Coverage: 2018 (185–361) Spatial Resolution: 250m Temporal Resolution: 8 days Projection: Sinusoidal Data Format: HDF Scale: 0.01 Valid Range: 0 – 100 <strong>Citation </strong>(Please cite this paper whenever these data are used)<strong>:</strong> Xiao Zhiqiang, <em>et a</em>l. (2016). Estimating the Fractional Vegetation Cover from GLASS Leaf Area Index Product. <em>Remote Sensing</em>, 8, 337. If you have any questions, please contact Prof. Zhiqiang Xiao (zhqxiao@bnu.edu.cn).
DOI: 10.5281/zenodo.7500320
title: MUSES Fractional Vegetation Coverage (FVC) 8-Day Global 250m SIN Grid in 2018 (185–361)

description: The MUltiscale Satellite remotE Sensing (MUSES) product suite includes products with different spatial and temporal resolutions for parameters such as Normalized Difference Vegetation Index (NDVI), Near-Infrared Reflectance of Vegetation (NIRv), Leaf Area Index (LAI), Fraction of Absorbed Photosynthetically Active Radiation (FAPAR), Fractional Vegetation Coverage (FVC), Gross Primary Production (GPP), Net Primary Production (NPP). For more information about the MUSES products, please refer to this website (https://muses.bnu.edu.cn/). This dataset is the MUSES global FVC product at 250m spatial resolution and 8-day temporal resolution. The MUSES FVC product is provided on a Sinusoidal grid and spans from 2000 to 2019 (continuously updated). It was generated from the MUSES LAI product at 250m resolution and other ancillary information using the complement to unity of the transmittance of light through the entire canopy in the nadir viewing direction (Xiao <em>et al</em>., 2016). The MUSES FVC values are physically consistent with the corresponding MUSES LAI values. The MUSES FVC product is spatially complete and temporally continuous. This dataset is the MUSES FVC product in 2018 (185–361). <em>Please <strong>click here</strong> to download the MUSES FVC product <strong>in 2018 (001–177)</strong> and <em><strong>click here</strong> to download the MUSES FVC produ</em>ct <strong>in 2019 (001–177)</strong></em>. <strong>Dataset Characteristics:</strong> Spatial Coverage: Global Temporal Coverage: 2018 (185–361) Spatial Resolution: 250m Temporal Resolution: 8 days Projection: Sinusoidal Data Format: HDF Scale: 0.01 Valid Range: 0 – 100 <strong>Citation </strong>(Please cite this paper whenever these data are used)<strong>:</strong> Xiao Zhiqiang, <em>et a</em>l. (2016). Estimating the Fractional Vegetation Cover from GLASS Leaf Area Index Product. <em>Remote Sensing</em>, 8, 337. If you have any questions, please contact Prof. Zhiqiang Xiao (zhqxiao@bnu.edu.cn).
DOI: 10.18434/m32065
title: Dataset: An Inter-Laboratory Study of Zn-Sn-Ti-O Thin Films using High-throughput Experimental Methods

description: The open dataset accompanying An Inter-Laboratory Study of Zn-Sn-Ti-O Thin Films using High-throughput Experimental Methods (https://pubs.acs.org/doi/10.1021/acscombsci.8b00158).High-throughput experimental (HTE) techniques are an increasingly important way to accelerate the rate of materials research and development for many technological applications. However, there are very few publications on the reproducibility of the HTE results obtained across different laboratories for the same materials system, and on the associated sample and data exchange standards. Here, we report a comparative study of Zn-Sn-Ti-O thin films materials using high-throughput experimental methods at National Institute of Standards and Technology (NIST) and National Renewable Energy Laboratory (NREL). The thin film sample libraries were synthesized by combinatorial physical vapor deposition (co-sputtering and pulsed laser deposition), and characterized by spatially-resolved techniques for composition, structure, thickness, optical and electrical properties. The results of this study indicate that all these measurement techniques performed at two different laboratories show excellent qualitative agreement. The quantitative similarities and differences vary by measurement type, with 95% confidence interval of 0.1-0.2 eV for the band gap, 24-29 nm for film thickness, and 0.08 to 0.37 orders of magnitude for sheet resistance. Overall, this work serves as a case study for the feasibility of a High-Throughput Experimental Materials Collaboratory (HTE-MC) by demonstrating the exchange of high-throughput sample libraries, workflows and data.
DOI: 10.6084/m9.figshare.21815367
title: Genotype

description: Genotypic and phenotypic data
DOI: 10.20372/aau_rdr/qnfo2p/zrz8cy
title: CF_(WD).tab

description: :unav
DOI: 10.20372/aau_rdr/qnfo2p
title: The Impact of Cluster Farming on Crop Productivity in Amhara Regional State, Ethiopia: Evidence from Dejen Woreda

description: The data was collected in East Gojjam zone as part of thematic research grant obtained from the Office of the Director for Research, AAU, and this specific data was used by Wondimu Dirar to write his MA thesis.
DOI: 10.20372/aau_rdr/hxzaos/enkwpz
title: Data_Wooinshet.tab

description: :unav
DOI: 10.20372/aau_rdr/hxzaos
title: Correlates of children ever born among women of reproductive ages in Ethiopia: evidence from the 2019 Mini Ethiopian Demographic and Health Survey.

description: Master's Thesis Data
DOI: 10.6084/m9.figshare.14684214
title: GeoEye dataset

description: A geospatial image-based eye movement dataset called GeoEye, is a publicly shared, widely available eye movement dataset. This dataset consists of 110 college-aged participants who freely viewed 500 images, including thematic maps, remote sensing images, and street view images.
DOI: 10.6084/m9.figshare.14684214.v3
title: GeoEye dataset

description: A geospatial image-based eye movement dataset called GeoEye, is a publicly shared, widely available eye movement dataset. This dataset consists of 110 college-aged participants who freely viewed 500 images, including thematic maps, remote sensing images, and street view images.
DOI: 10.20372/aau_rdr/jvhhue/sobmyr
title: Woubshet_dataset.tab

description: :unav
DOI: 10.20372/aau_rdr/jvhhue
title: Replication Data for: Demographic and Socioeconomic Determinants of Fertility Intention among reproductive age women in Sebata District, Oromia Region, Ethiopia.

description: MSc. Thesis data
DOI: 10.20372/aau_rdr/tfdxg1
title: Determinants of risky sexual behaviors among students of Addis Ketema secondary and preparatory school

description: Master's Thesis data
DOI: 10.20372/aau_rdr/tfdxg1/omyvyr
title: data_Bikila.tab

description: thesis written by Bikila explores determinants of risky sexual behavior among school children
DOI: 10.20372/aau_rdr/vpmkub/ass61k
title: Mihret_Dataset.tab

description: :unav
DOI: 10.20372/aau_rdr/vpmkub
title: Predictors of Maternal Mortality among Mothers Who Delivered In Selected Public Hospitals in Addis Ababa, Ethiopia: Unmatched Case Control Study

description: Master's Thesis data
DOI: 10.17632/kp4dkxy8js.1
title: Data for: ``The winner takes it all'' or a story of the optimal allocation of the European Cohesion Fund

description: Date used for the estimation of an growth equation
DOI: 10.17632/m6vrdbwsnc.1
title: Raw, uncropped supporting Western blot files for: Lignitto L. et al. ... Pagano M., Nrf2 activation promotes lung cancer metastasis by inhibiting the degradation of Bach1. Cell 2019

description: Raw, not cropped supporting Western blot files for: Lignitto L., LeBoeuf S., Homer H., Jiang S., Askenazi M., Karakousi T., Pass H., Bhutkar A., Tsirigos A., Ueberheide B., Sayin V., Papagiannakopoulos T, and Pagano M. Nrf2 activation promotes lung cancer metastasis by inhibiting the degradation of Bach1. Cell 2019.
DOI: 10.17632/z7wznk53cf.5
title: Under-dispersed Health Insurance Count Data

description: The data set was used in the article titled "Bayesian Models for Zero Truncated Count Data" with link http://www.journalajpas.com/index.php/AJPAS/article/view/30105 The data set was obtained from Ace-Medicare Clinics, Ota, Ogun State, Nigeria, comprising of National Health Insurance Scheme (NHIS) data with no zero count. A sample of 1647 patients under National Health Insurance Scheme was obtained from July 2016 to July 2017. Response variable (Nencounter) that is, number of encounter (visit to the doctor). The class (Eclass) indicated whether a patient was ever on admission for the period, that is, (in-patient=1, out-patient= 0). Another predictor is (follow-up), indicating whether a patient was on regular check-up or not, (follow-up=1, no follow-up=0). Gender (sex) of patients; (male=1, female=0). Another predictor was Ndiagnosis, which represented the number of diagnosis a patient had for the period of encounter. The last predictor included is biological age of patient. Following the dispersion test, the data is under-dispersed with dispersion parameter =0.7806.
DOI: 10.7910/dvn/xnmcyi/w1bv5v
title: abdomen_V8_6ptDixon.dat

description: :unav
DOI: 10.17632/7ztrx62z7m.1
title: Glass sponge grounds on the Scotian Shelf and their associated biodiversity

description: Emerald Basin on the Scotia Shelf off Nova Scotia, Canada, is home to a globally unique population of the glass sponge Vazella pourtalesi. Through the analysis of both in situ photographs and trawl catch data from annual multispecies bottom-trawl surveys, we examined community composition, species density, and abundance of epibenthos and fish associated with V. pourtalesi compared to locations without this sponge. Using generalized linear models and analysis of similarities, the importance of V. pourtalesi in enhancing species density and abundance of the associated epibenthic community was assessed against that of the hard substrate on which it settles. Our results indicated that the megafaunal assemblage associated with V. pourtalesi was significantly different in composition and higher in species density and abundance compared to locations without V. pourtalesi. Analysis of similarity of trawl catch data indicated that fish communities associated with the sponge grounds are significantly different from those without V. pourtalesi, although no species were found exclusively on the sponge grounds. Our study provides further evidence of the role played by sponge grounds in shaping community structure and biodiversity of associated deep-sea epibenthic and fish communities. The mechanism for biodiversity enhancement within the sponge grounds formed by V. pourtalesi is likely the combined effect of both the sponge itself and its attachment substrate, which together comprise the habitat of the sponge grounds. We also discuss the role of habitat provision between the mixed-species tetractinellid sponges of the Flemish Cap and the monospecific glass sponge grounds of Emerald Basin. Please refer to the following citation for additional details on the data: Hawkes N, Korabik M, Beazley L, Rapp HT, Xavier JR, Kenchington E (2019) Glass sponge grounds on the Scotian Shelf and their associated biodiversity. Mar Ecol Prog Ser 614:91-109. https://doi.org/10.3354/meps12903
DOI: 10.17632/vk8vy7ghnf.1
title: Benchmarking matrix self-cross-products, using R and Python functions

description: Runtime and memory usage of matrix self-cross-products recorded for matrices with 40,000 elements and different dimensions. Native R functions %*% and crossprod, numpy in Python, and two user-defined functions in R and Python were compared.
DOI: 10.17632/z42hpt93t3.1
title: Measuring the ecological success of the Communal Areas Management Programme For Indigenous Resources (CAMPFIRE) in north-western Zimbabwe.

description: The Communal Areas Management Programme for Indigenous Resources (CAMPFIRE) is a flagship Community Based Natural Resources Management (CBNRM) developed in Zimbabwe. CBNRMs are growing in the unprotected lands surrounding many of the Africa’s protected areas. The inﬂuence of these initiatives on ecological processes is poorly understood. The goal of the study was to draw on ecological theory to provide a synthetic framework for understanding how CBNRMs around protected areas may alter ecological processes and biodiversity to provide a basis for identifying scientiﬁcally based management alternatives. We hypothesized that hunting produces a mosaic of sources and sinks that allows elephant and kudu to persist outside protected areas. Specifically the source sink model was tested empirically to determine how population dynamics in sinks differ significantly. Data for hunted ungulates species - Loxodonta africana africana (African elephant) and Tragelaphus strepsiceros (Greater kudu). The data recorded during road strip counts includes the species, number of individuals, age and sex composition, GPS location and distance category from park boundary. The study compared group size and age structure dynamics of elephants and kudus between two spatially heterogeneous sinks (a CAMPFIRE area not under protection versus protected safari hunting area).
DOI: 10.7910/dvn/xnmcyi/2gp4bc
title: abdomen_V7_prescan.dat

description: :unav
DOI: 10.17632/26rb9gswrc.1
title: Data for: Forest Land-Use History Affects Outcomes of Habitat Augmentation for Amphibian Conservation

description: Amphibian occurrence data for wood frogs (Lithobates sylvaticus) and spotted salamanders (Ambystoma maculatum), with associated survey (i.e., detection) and habitat (i.e., site) variables from forest assessments conducted May-Aug, 2016-2017 at Heiberg Memorial Forest in Tully, NY. Data were collected to evaluate long-term effects of vernal pool creation on amphibian populations, and assess potential mediating factors (e.g., land-use history) on restoration outcomes.
DOI: 10.17632/428zsnnkmj.1
title: Aerofoil drag reduction by shape optimization

description: Aerofoil drag can be reduced by diminishing the effects of stagnation pressure. This can be achieved by optimizing the frontal surface of the aearofoil.
DOI: 10.17632/4mrdfp7cmv.1
title: Data For: One key for two inputs: A hybrid SSVEP-based brain-computer interface (BCI)
DOI: 10.17632/4t8b3c6zb7.2
title: Survey Dataset on debating role of Social Media and Youth Political Participation in Indonesia & Pakistan

description: Youth is becoming the centre of attention among political debate in East and South Asia. The present study examined the role of youth in shaping the political structure and their political participation through social media. The public sphere is considered as an integral part of democracy; a social space in which citizens are able to engage in political activities pertinent to the public interest. However, nowadays it has become common among the public to discuss political matters in public places. This quantitative study is limited to Pakistan and Indonesia. The data were collected through a semi-structured interview schedule and a sample of 400 respondents was chosen for the purpose. The finding of this study suggests that youth has a significant role in political structure, they are frequently discussing political matters on the social media to sensitize the public and role of youth has changed the political scenario of both countries.
DOI: 10.17632/frr3fsx3j6.1
title: Coastal Road Exposure Susceptibility Index (CRESI) for the State of Hawaii Statewide Coastal Highway Program Report

description: This dataset contains all relevant measures, interpretations, and rankings used to determine Coastal Road Exposure Susceptibility Indices (CRESI) for 303 mileposts and points of interest across coastal state routes in Hawaii. CRESI variables are beach and coast geomorphologies, erodible land buffer volume, ground slope, coastal ground cover and structures, road base or subgrade, armoring, relative sea-level change rate, shoreline accretion or erosion rate, mean tidal change, and significant wave height. CRESI ranking criterions are described in chapter 1 of the State of Hawaii Statewide Coastal Highway Program Report. Access database files are delineated by island and contain field measurements, interpretations, and CRESI rankings for all mileposts and variables. Notes, locations, and images taken in the field are embedded in the Access "Field Forms" for each milepost. Data collection figures summarize and outline individual milepost assessments with relevant field measurements, images, and cross-sectional drawings. This project was funded by the Hawaii Department of Transportation, HWY-06-16, entitled "Statewide Highway Shoreline Protection Program Study Update."
DOI: 10.17632/psycr89y5t.1
title: The N-degron pathway mediates ER-phagy. Ji et al.
DOI: 10.17632/f9x5gh4k9n.1
title: 阿斯达萨索萨阿撒打算打算

description: 阿斯达萨索萨阿撒打算打算
DOI: 10.17632/r2gfzjcfsd.1
title: Over-dispersed Count data for number of journal articles published by university lecturers

description: The data set contains count of number of articles published by Covenant University Lecturers, in Ota, Ogun State, Nigeria. The dataset contains a sample of 126 lecturers comprising 99 from College of Business and Social Sciences, and 27 from College of Leadership. The dataset include the number of articles published by the lecturers from 2013-2015. The response variable was the number of article produced by lecturers (NOP) which is obtained by counting. Predictors are Gender of lecturers (SEX), male was coded 1, and female as 0, marital status (MS), married was coded as 1 and single as 0, number of children each lecturer have (CHD), years of teaching/lecturing experience (EXP), cadre indicating whether senior or junior lecturer, Assistant lecturer and lecturer II are categorized as Lower cadre, and coded as 0, while lecturer I up to professor are categorise as higher cadre, and coded as 1. Another predictor is number of undergraduate course(s) taught within the period of examination (UGC), and number of postgraduate course(s) taught within the period of examination (UPC).
DOI: 10.17632/tfg83w73v3.1
title: Epstein-Barr Virus Induced One-Carbon Metabolism Drives B Cell Transformation

description: Epstein-Barr virus (EBV) causes Burkitt, Hodgkin, and post-transplant B-cell lymphomas. How EBV remodels metabolic pathways to support rapid B-cell outgrowth remains largely unknown. To gain insights, primary human B-cells were profiled by tandem-mass-tag based proteomics at rest and at 9 time points after infection. &gt;8000 host and 29 viral proteins were quantified, revealing mitochondrial remodeling and induction of one-carbon (1C) metabolism. EBV-encoded EBNA2 and its target MYC were required for upregulation of the central mitochondrial 1C enzyme MTHFD2, which played key roles in EBV-driven B-cell growth and survival. MTHFD2 was critical for maintaining elevated NADPH levels in infected cells, and oxidation of mitochondrial NADPH diminished B-cell proliferation. Tracing studies underscored contributions of 1C to nucleotide synthesis, NADPH production and redox defense. EBV upregulated import and synthesis of serine to augment 1C flux. Our results highlight EBV-induced 1C as a potential therapeutic target and provide a new paradigm for viral onco-metabolism.
DOI: 10.7910/dvn/xnmcyi/5miisy
title: knee_V3_prescan.dat

description: :unav