cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.6083843
title: Regression models for prediction of corn yield in the state of Paraná (Brazil) from 2012 to 2014

description: ABSTRACT. This study aimed to identify areas that showed spatial autocorrelation for corn yield and its predictive variables (i.e., average air temperature, rainfall, solar radiation, soil agricultural potential and altitude) and to determine the most appropriate spatial regression model to explain this culture. The study was conducted using data from the municipalities of the state of Paraná relating to the summer harvests in 2011/2012, 2012/2013, and 2013/2014. The statistical diagnostic of the OLS (Ordinary Least Square regression model) was employed to determine the most suitable regression model to predict corn yield. The SAR (Spatial Lag Model) was recommended for all crop years; however, the Spatial Error Model (CAR) was recommended only for the 2013/2014 crop year. The SAR and CAR spatial regressions chosen to predict corn yield in the various years had better results when compared to a regression model that does not incorporate data spatial autocorrelation (OLS). The coefficient of determination (R²), the Bayesian information criteria (BIC) and the maximum value of the logarithm of likelihood function proved to be better for the estimation of corn yield when SAR and CAR were used.
DOI: 10.6084/m9.figshare.6083843.v1
title: Regression models for prediction of corn yield in the state of Paraná (Brazil) from 2012 to 2014

description: ABSTRACT. This study aimed to identify areas that showed spatial autocorrelation for corn yield and its predictive variables (i.e., average air temperature, rainfall, solar radiation, soil agricultural potential and altitude) and to determine the most appropriate spatial regression model to explain this culture. The study was conducted using data from the municipalities of the state of Paraná relating to the summer harvests in 2011/2012, 2012/2013, and 2013/2014. The statistical diagnostic of the OLS (Ordinary Least Square regression model) was employed to determine the most suitable regression model to predict corn yield. The SAR (Spatial Lag Model) was recommended for all crop years; however, the Spatial Error Model (CAR) was recommended only for the 2013/2014 crop year. The SAR and CAR spatial regressions chosen to predict corn yield in the various years had better results when compared to a regression model that does not incorporate data spatial autocorrelation (OLS). The coefficient of determination (R²), the Bayesian information criteria (BIC) and the maximum value of the logarithm of likelihood function proved to be better for the estimation of corn yield when SAR and CAR were used.
DOI: 10.6084/m9.figshare.7482980
title: Consideration of the appropriate variation sources of the statistical model and their impacts on plant breeding

description: ABSTRACT. The present work has aimed to assess the consideration of the appropriate variation sources of the statistical model and their impacts on the conclusions plant breeding. The Value for Cultivation and Use test was conducted to assess three common locations (Lages, Ponte Serrada, and Canoinhas) and four non-common locations (Chapecó, Guatambu, Urussanga, and Campos Novos). The grain yields of six bean genotypes were evaluated in order to represent the imbalance between the common and non-common locations. The statistical analysis considered two situations: i) union of the location factors and cultivation years, with a single variation source called environment and ii) decomposition of the mean square values of the two factors, location and year. According to the simplified analysis (environmental variation source), the F test for the genotype factor was highly significant (p = 0.0006). On the other hand, the hypothesis test for the genotype factor was not significant (p = 0.7370) when the decomposition of mean squares was used. The simplified analysis presents some erroneous points, such as the use of a mean residue to test the hypothesis of the genotype factor, since this factor is composed of several sources of variation, and there is no exact F test. However, approximate F tests can be obtained by constructing linear combinations of average squares. This fact notes the relevance of considering the appropriate sources of variation within the statistical model, with a direct impact on the conclusions and recommendations of cultivars with superior performance.
DOI: 10.6084/m9.figshare.7482980.v1
title: Consideration of the appropriate variation sources of the statistical model and their impacts on plant breeding

description: ABSTRACT. The present work has aimed to assess the consideration of the appropriate variation sources of the statistical model and their impacts on the conclusions plant breeding. The Value for Cultivation and Use test was conducted to assess three common locations (Lages, Ponte Serrada, and Canoinhas) and four non-common locations (Chapecó, Guatambu, Urussanga, and Campos Novos). The grain yields of six bean genotypes were evaluated in order to represent the imbalance between the common and non-common locations. The statistical analysis considered two situations: i) union of the location factors and cultivation years, with a single variation source called environment and ii) decomposition of the mean square values of the two factors, location and year. According to the simplified analysis (environmental variation source), the F test for the genotype factor was highly significant (p = 0.0006). On the other hand, the hypothesis test for the genotype factor was not significant (p = 0.7370) when the decomposition of mean squares was used. The simplified analysis presents some erroneous points, such as the use of a mean residue to test the hypothesis of the genotype factor, since this factor is composed of several sources of variation, and there is no exact F test. However, approximate F tests can be obtained by constructing linear combinations of average squares. This fact notes the relevance of considering the appropriate sources of variation within the statistical model, with a direct impact on the conclusions and recommendations of cultivars with superior performance.
DOI: 10.6084/m9.figshare.7482983
title: Survey of statistical methods applied in articles published in Acta Scientiarum. Agronomy from 1998 to 2016

description: ABSTRACT. Statistics is the main science by which researchers validate the results of scientific work, and the choice of an inadequate statistical method may lead to conclusions that are considered questionable by reviewers. This study had the objective of describing the characteristics of the statistical methods used in the papers published in Acta Scientiarum. Agronomy from 1998 to 2016 as part of a a critical analysis of the journal to pinpoint possible failures in the application of these methods. All scientific articles (n = 1,237) published in the journal were surveyed, of which 54.1% addressed areas of crop production. The mean comparison methods were the most commonly used (75.5%) and, consequently, they represented the highest proportion of errors (60.8%) of the authors in the journal.
DOI: 10.6084/m9.figshare.7482983.v1
title: Survey of statistical methods applied in articles published in Acta Scientiarum. Agronomy from 1998 to 2016

description: ABSTRACT. Statistics is the main science by which researchers validate the results of scientific work, and the choice of an inadequate statistical method may lead to conclusions that are considered questionable by reviewers. This study had the objective of describing the characteristics of the statistical methods used in the papers published in Acta Scientiarum. Agronomy from 1998 to 2016 as part of a a critical analysis of the journal to pinpoint possible failures in the application of these methods. All scientific articles (n = 1,237) published in the journal were surveyed, of which 54.1% addressed areas of crop production. The mean comparison methods were the most commonly used (75.5%) and, consequently, they represented the highest proportion of errors (60.8%) of the authors in the journal.
DOI: 10.3886/e148601v1
title: Classroom_Interruptions_Kraft_MontiNussbaum

description: Kraft, M.A., & Monti-Nussbaum, M. (2021). The big problem with little classroom interruptions. AERA Open, 7(1), 1-17.<br><br>https://doi.org/10.1177%2F23328584211028856<br><br>AbstractNarrative accounts of classroom instruction suggest that external interruptions, such as intercom announcements and visits from staff, are a regular occurrence in U.S. public schools. We study the frequency, nature, duration, and consequences of external interruptions in the Providence Public School District (PPSD) using original data from a district-wide survey and classroom observations. We estimate that a typical classroom in the PPSD is interrupted more than 2,000 times per year and that these interruptions and the disruptions they cause result in the loss of between 10 and 20 days of instructional time. Several findings suggest that there exists substantial scope for reducing interruptions. Administrators appear to systematically underestimate the frequency and negative consequences of interruptions. Furthermore, interruptions vary widely across schools and are largely caused by school staff. Schools might reduce disruptions to the learning environment by creating a culture that prioritizes instructional time, instituting better communication protocols, and addressing the challenges posed by student tardiness.<br>
DOI: 10.3886/e148403
title: Linking features of structural and process quality across the landscape of early education and care

description: Commonly regulated structural quality features, like educator education levels and group size, are thought to be foundational to the quality of children’s everyday experiences in early education and care settings. Yet, little is known about how these features relate to the day-to-day interactions and activities that occur in these settings – or process quality features – across the landscape of early education and care. In this study, we examine the association between structural quality features and process quality features in a diverse sample of classrooms (n = 672) participating in a statewide study of early education and care. Using a permutation test approach, we found group size and child-to-adult ratio were most consistently linked to children’s experiences, but that educator education, experience, and curriculum usage were largely unrelated.
DOI: 10.3886/e148403v1
title: Linking features of structural and process quality across the landscape of early education and care

description: Commonly regulated structural quality features, like educator education levels and group size, are thought to be foundational to the quality of children’s everyday experiences in early education and care settings. Yet, little is known about how these features relate to the day-to-day interactions and activities that occur in these settings – or process quality features – across the landscape of early education and care. In this study, we examine the association between structural quality features and process quality features in a diverse sample of classrooms (n = 672) participating in a statewide study of early education and care. Using a permutation test approach, we found group size and child-to-adult ratio were most consistently linked to children’s experiences, but that educator education, experience, and curriculum usage were largely unrelated.
DOI: 10.6084/m9.figshare.16527984
title: Figure 4B

description: Figure 4B- Body weight
DOI: 10.6084/m9.figshare.16527984.v1
title: Figure 4B

description: Figure 4B- Body weight
DOI: 10.15468/amkd8e
title: Description of Neptosternus haibini sp. nov. from China (Coleoptera: Dytiscidae: Laccophilinae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Peng, Yunfei, Ji, Lanzhu, Bian, Dongju, Hájek, Jiří (2018): Description of Neptosternus haibini sp. nov. from China (Coleoptera: Dytiscidae: Laccophilinae). Zootaxa 4500 (4): 581-586, DOI: https://doi.org/10.11646/zootaxa.4500.4.7
DOI: 10.6084/m9.figshare.16527990.v1
title: Figure 4C

description: Figure 4C
DOI: 10.6084/m9.figshare.16527990
title: Figure 4C

description: Figure 4C
DOI: 10.6084/m9.figshare.16527996
title: Figure 4E

description: Figure 4E
DOI: 10.6084/m9.figshare.16527996.v1
title: Figure 4E

description: Figure 4E
DOI: 10.6073/pasta/6ccd9a7dc2de0ea90c187844f501b9df
title: SBC LTER: Reef: Annual time series of biomass for kelp forest species, ongoing since 2000 (Reformatted to the ecocomDP Design Pattern)

description: This data package is formatted as an ecocomDP (Ecological Community Data Pattern). For more information on ecocomDP see https://github.com/EDIorg/ecocomDP. This Level 1 data package was derived from the Level 0 data package found here: https://pasta.lternet.edu/package/metadata/eml/knb-lter-sbc/50/10. The abstract below was extracted from the Level 0 data package and is included for context: These data are annual estimates of biomass of approximately 225 taxa of reef algae, invertebrates and fish in permanent transects at 11 kelp forest sites in the Santa Barbara Channel (2-8 transects per site). Abundance is measured annually (as percent cover or density, by size) and converted to biomass (i.e., wet mass, dry mass, decalcified dry mass, ash free dry mass) using published taxon-specific algorithms. Data collection began in summer 2000 and continues annually in summer to provide information on community structure, population dynamics and species change. The time period of data collection varied among the 11 kelp forest sites. Sampling at BULL, CARP, and NAPL began in 2000, sampling at the other 6 mainland sites (AHND, AQUE, IVEE, GOLB, ABUR, MOHK) began in 2001 (transects 3, 5, 6, 7, 8 at IVEE were added in 2011). Data collection at the two Santa Cruz Island sites (SCTW and SCDI) began in 2004. See Methods for more information. See Methods for more information. The primary research objective of the Santa Barbara Coastal LTER is to investigate the importance of land and ocean processes in structuring giant kelp (Macrocystis pyrifera ) forest ecosystems. As in many temperate regions, the shallow rocky reefs in the Santa Barbara Channel, California, are dominated by giant kelp forests. Because of their close proximity to shore, kelp forests are influenced by physical and biological processes occurring on land as well as in the open ocean. SBC LTER research focuses on measuring and modeling the patterns, transport, and processing of material constituents (e.g., nutrients, carbon, sediment, organisms, and pollutants) from terrestrial watersheds and the coastal ocean to these reefs. Specifically, we are examining the effects of these material inputs on the primary production of kelp, and the population dynamics, community structure, and trophic interactions of kelp forest ecosystems.
DOI: 10.6084/m9.figshare.16528005.v1
title: Figure 4F

description: Figure 4F
DOI: 10.6084/m9.figshare.16528005
title: Figure 4F

description: Figure 4F
DOI: 10.15468/5e8m2c
title: The occurrence of Mesenchytraeus (Enchytraeidae: Oligochaeta) in ri ‚ e habitats of north-west American rivers, with description of a new species

description: This dataset contains the digitized treatments in Plazi based on the original journal article Healy, Brenda, Fend, Steve (2002): The occurrence of Mesenchytraeus (Enchytraeidae: Oligochaeta) in ri ‚ e habitats of north-west American rivers, with description of a new species. Journal of Natural History 36 (1): 15-23, DOI: 10.1080/713833842, URL: http://www.tandfonline.com/doi/abs/10.1080/713833842
DOI: 10.6073/pasta/17ff13667493dbaa5f3abaa8a22afec0
title: Palmyra Atoll Weather Tables and Monthly Rainfall 2008-2017

description: Weather data collected from Palmyra Atoll by US Fish and Wildlife Service and the Nature Conservancy for the period of 2010-2016, with rainfall data available from 2008-2017. Cleaning script for raw data available at: https://raw.githubusercontent.com/padl-project/miller_ter_kuile_terrestial_data/main/cleaning_weather_data.Rmd
DOI: 10.6084/m9.figshare.16511568
title: FSMol Baseline Models

description: Baseline Model Weights for the FSMOL benchmark.<br>Accompanying code is available on github: https://github.com/microsoft/FS-Mol/
DOI: 10.5281/zenodo.5295275
title: NIOO Encounternet Project 2014-2019

description: This dataset contains radio-tracking data obtained with <em>Encounternet, </em>as part of an NWO funded project (823.01.005) to investigate sexual conflict and negotiation rules over parental care at the Netherlands Institute of Ecology. The data are divided into two parts: a field test data and data collected on great tits (<em>Parus major</em>) parents during parental care.
DOI: 10.5281/zenodo.5295274
title: NIOO Encounternet Project 2014-2019

description: This dataset contains radio-tracking data obtained with <em>Encounternet, </em>as part of an NWO funded project (823.01.005) to investigate sexual conflict and negotiation rules over parental care at the Netherlands Institute of Ecology. The data are divided into two parts: a field test data and data collected on great tits (<em>Parus major</em>) parents during parental care.
DOI: 10.5281/zenodo.5295228
title: Glutinoglossum americanum SPAdes preassembly

description: .
DOI: 10.5281/zenodo.5295227
title: Glutinoglossum americanum SPAdes preassembly

description: .
DOI: 10.6084/m9.figshare.15634230
title: B3DB: A Curated Diverse Molecular Database of Blood-Brain Barrier Permeability with Chemical Descriptors

description: The highly-selective blood-brain barrier (BBB) prevents neurotoxic substances in blood from crossing into the extracellular fluid of the central nervous system (CNS). As such, the BBB has a close relationship with CNS disease development and treatment, so predicting whether a substance crosses the BBB is a key task in lead discovery for CNS drugs. Machine learning (ML) is a promising strategy for predicting the BBB permeability, but existing studies have been limited by small datasets with limitedchemical diversity. To mitigate this issue, we present a large benchmark dataset, B3DB, complied from 50 published resources and categorized based on experimental uncertainty. A subset of the molecules in B3DB has numerical logBB values (1058 compounds), while the whole dataset has categorical (BBB+ or BBB-) BBB permeability labels (7807). The dataset is freely available at https://github.com/theochem/B3DB. We also provide some physicochemical properties of the molecules. By analyzing these properties, we can demonstrate some physiochemical similarities and differences between BBB+ and BBB- compounds.
DOI: 10.5281/zenodo.5295621
title: Afrotropical Mydidae genera dichotomous, pathway key in SDD-format

description: Dichotomous, pathway key to genera of Afrotropical Mydidae developed with Lucid Builder v4 in XML Structure of Descriptive Data (SDD) format.
description: {"references": ["Dikow, T., 2017. 47. Mydidae (mydas flies). In: A.H. Kirk-Spriggs and B.J. Sinclair (eds.), Manual of Afrotropical Diptera, vol. 2. Nematocerous Diptera and lower Brachycera, pp. 1063\u20131095. Suricata 5, SANBI, Pretoria. URL https://www.nhm.ac.uk/our-science/our-work/biodiversity/manual-afrotropical-diptera.html."]}
DOI: 10.5281/zenodo.5295620
title: Afrotropical Mydidae genera dichotomous, pathway key in SDD-format

description: Dichotomous, pathway key to genera of Afrotropical Mydidae developed with Lucid Builder v4 in XML Structure of Descriptive Data (SDD) format.
description: {"references": ["Dikow, T., 2017. 47. Mydidae (mydas flies). In: A.H. Kirk-Spriggs and B.J. Sinclair (eds.), Manual of Afrotropical Diptera, vol. 2. Nematocerous Diptera and lower Brachycera, pp. 1063\u20131095. Suricata 5, SANBI, Pretoria. URL https://www.nhm.ac.uk/our-science/our-work/biodiversity/manual-afrotropical-diptera.html."]}
DOI: 10.6092/unibo/amsacta/6747
title: FoodE Project. Optimal photoperiod for the indoor cultivation

description: This data set contains the underlying data of the scientific publication: Pennisi, G., Orsini, F., Landolfo, M., Pistillo, A., Crepaldi, A., Nicola, S., Fernandez J.A., Marcelis L.F.M., Gianquinto, G. (2020). Optimal photoperiod for indoor cultivation of leafy vegatables and herbs. European Journal of Horticultural Science , 85 (5), 329-338. https://doi.org/10.17660/eJHS.2020/85.5.4
DOI: 10.6092/unibo/amsacta/6748
title: FoodE Project. Pulsed light for indoor-grown lettuce

description: This data set contains the underlying data of the scientific publication: Carotti, L., Potente, G., Pennisi, G., Ruiz, K.B., Biondi, S., Crepaldi, A., Orsini, F., Gianquinto, G., Antognoni, F. (2020). Pulsed LED Light: Exploring the balance between energy use and nutraceutical. Agronomy 2021, 11(6), 1106; https://doi.org/10.3390/agronomy11061106 Data from morphological measurement and gene expression study are reported. Treatments are: high sf, low sf and fluorescent light (FL). The variables analyzed are: leaf fresh weight (LFW), leaf dry weight (LDW), leaf dry matter (LDM), root fresh weight (RFW), root dry weight (RDW), leaf number (LN), leaf area (LA), water use (WU), water use efficiency (WUE), energy use efficiency (EUE), gene expression of phenylalanine ammonia-lyase (PAL), gene expression of chalcone synthase (CHS), gene expression of flavonol synthase (FLS), gene expression of the 4-coumaric acid 3-hydroxylase (4C3H), gene expression of dihydroflavonol 4-reductase (DFR), gene expression of catalase (CAT), gene expression of glutathione s-transferase (GST).
DOI: 10.6084/m9.figshare.16528149
title: artefact_v1.tar.gz

description: Data from SnapFuzz experiments
DOI: 10.6084/m9.figshare.16528149.v1
title: artefact_v1.tar.gz

description: Data from SnapFuzz experiments
DOI: 10.15468/drfhcs
title: New species of Leucocytozoon from the avian families Otidae, Podargidae and Threskiornithidae

description: This dataset contains the digitized treatments in Plazi based on the original journal article Adlard, R. D., Peirce, M. A., Lederer, R. (2002): New species of Leucocytozoon from the avian families Otidae, Podargidae and Threskiornithidae. Journal of Natural History 36 (11): 1261-1267, DOI: 10.1080/00222930110049962, URL: http://www.tandfonline.com/doi/abs/10.1080/00222930110049962
DOI: 10.15468/23v9rf
title: The zoeal development of Nanocassiope granulipes (Sakai, 1939) (Crustacea: Decapoda: Brachyura: Xanthidae) described from laboratory-reared material

description: This dataset contains the digitized treatments in Plazi based on the original journal article Ko, Hyun Sook, Clark, Paul F. (2002): The zoeal development of Nanocassiope granulipes (Sakai, 1939) (Crustacea: Decapoda: Brachyura: Xanthidae) described from laboratory-reared material. Journal of Natural History 36 (12): 1463-1488, DOI: 10.1080/00222930110047685, URL: http://www.tandfonline.com/doi/abs/10.1080/00222930110047685
DOI: 10.15468/k5pkrm
title: Notes on astogeny of some Petraliellidae (Bryozoa) from Australia

description: This dataset contains the digitized treatments in Plazi based on the original journal article Cook, P. L., Bock, P. E. (2002): Notes on astogeny of some Petraliellidae (Bryozoa) from Australia. Journal of Natural History 36 (13): 1601-1619, DOI: 10.1080/00222930110052463, URL: http://www.tandfonline.com/doi/abs/10.1080/00222930110052463