Dataset Papers in Science
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Open Access journal
ISSN (Online) 2314-8497
Published by Hindawi [334 journals]
[0 followers] Follow
Open Access journal
ISSN (Online) 2314-8497
Published by Hindawi [334 journals]
- Use of the CatWalk Gait Device to Assess Differences in Locomotion between
Genders in Rats Inherently and following Spinal Cord Injury
Abstract: A possible cause of differences in recovery after spinal cord injury (SCI) is gender. The effect of gender on locomotor recovery following SCI, however, remains controversial and has produced conflicting results regarding gender’s impact on outcome. A significant shortcoming of previous studies was small sample size. The current work tested what, if any, significant differences existed between genders after SCI with CatWalk Gait Analysis that uses an automated device to measure the foot placement and gait of animals as they voluntarily cross an illuminated glass runway. We hypothesized that, by employing larger sample sizes in a reproducible and clinically relevant contusive SCI paradigm, subtle distinctions in locomotor recovery between sexes, if they exist, would be elucidated. During 13 weeks of functional assessment after SCI, a number of CatWalk parameters, including swing, single stance, and stride length, were significantly affected by gender only as identified by use of ANCOVA analysis, considering age, weight, and baseline performance as covariates. We report here our findings for 197 parameters that were assessed before and after SCI. Evaluating differences in locomotor recovery between sexes after SCI could point to a gender-related advantage and provide novel directions for the development of future therapeutics.
PubDate: Mon, 28 Mar 2016 13:57:46 +000
- Spatial and Temporal Abundance of Interacting Populations of White Clover
and Grass Species as Assessed by Image Analyses
Abstract: The dataset comprises detailed mappings of two communities of interacting populations of white clover (Trifolium repens L.) and grass species under differing experimental treatments over 4-5 years. Information from digital photographs acquired two times per season has been processed into gridded data and documents the temporal and spatial dynamics of the species that followed from a wide range of spatial configurations that arose during the study period. The data contribute a unique basis for validation and further development of previously published models for the dynamics and population oscillations in grass-white clover swards. They will be well suited for estimating parameters in spatially explicit versions of these models, like neighborhood based models that incorporate both the dispersal and the local nature of plant-plant interactions.
PubDate: Mon, 08 Jun 2015 08:26:54 +000
- An Observatory Plot System for Grain Production in the Neotropical
Abstract: The neotropical savanna is the second largest biome in South America, with significant potential for agricultural development. In Colombia, this biome is experiencing rapid land-use change leading to the conversion of seminatural landscapes into to intensive agricultural systems. Our Dataset Paper documents the emerging intensive grain production systems. Between 2011 and 2013, we established 336 observatory plots within farmer’s maize, rice, and soybean fields along a 200 Km transect from Puerto Lopez (Meta) to Viento (Vichada). From each of these plots, we submit 184 descriptors or variables capturing their location, rotation history, management, and environment. Our specific objective in collecting the data was to identify key factors explaining yield variation, with emphasis on interactions between management and environmental factors potentially informing the development of site-specific management protocols. Beyond this objective, the dataset submitted here is intended to support additional inquiries contributing to the sustainable development of agriculture in the neotropical savannas.
PubDate: Wed, 08 Apr 2015 13:30:30 +000
- Mapping Biophysical Parameters for Land Surface Modeling over the
Continental US Using MODIS and Landsat
Abstract: In terms of the space cities occupy, urbanization appears as a minor land transformation. However, it permanently modifies land’s ecological functions, altering its carbon, energy, and water fluxes. It is therefore necessary to develop a land cover characterization at fine spatial and temporal scales to capture urbanization’s effects on surface fluxes. We develop a series of biophysical vegetation parameters such as the fraction of photosynthetically active radiation, leaf area index, vegetation greenness fraction, and roughness length over the continental US using MODIS and Landsat products for 2001. A 13-class land cover map was developed at a climate modeling grid (CMG) merging the 500 m MODIS land cover and the 30 m impervious surface area from the National Land Cover Database. The landscape subgrid heterogeneity was preserved using fractions of each class from the 500 m and 30 m into the CMG. Biophysical parameters were computed using the 8-day composite Normalized Difference Vegetation Index produced by the North American Carbon Program. In addition to urban impact assessments, this dataset is useful for the computation of surface fluxes in land, vegetation, and urban models and is expected to be widely used in different land cover and land use change applications.
PubDate: Mon, 06 Apr 2015 15:46:42 +000
- Comprehensive Analysis of MicroRNA and mRNA Expression in Normal and
Tumorous Human Esophageal Squamous Cell Lines Using Microarray Datasets
Abstract: Despite the undisputed importance of altered microRNA (miRNA) expression in various cancers, there is limited information on the clinicopathologic significance of cancer-related miRNAs in esophageal squamous cell carcinoma (ESCC). Previously, it was reported that the expression of several miRNAs was dysregulated in ESCC. However, the target genes of these miRNAs have not been identified. Furthermore, additional miRNAs in humans have been discovered recently, indicating that revised miRNA and gene expression profiling for ESCC are necessary. Here, we provide datasets from microarray analyses to identify miRNA and mRNA expression comprehensively in Het-1A, a normal human esophageal squamous cell line, and three human ESCC cell lines.
PubDate: Mon, 15 Dec 2014 07:22:57 +000
- DockScreen: A Database of In Silico Biomolecular Interactions to Support
Abstract: We have developed DockScreen, a database of in silico biomolecular interactions designed to enable rational molecular toxicological insight within a computational toxicology framework. This database is composed of chemical/target (receptor and enzyme) binding scores calculated by molecular docking of more than 1000 chemicals into 150 protein targets and contains nearly 135 thousand unique ligand/target binding scores. Obtaining this dataset was achieved using eHiTS (Simbiosys Inc.), a fragment-based molecular docking approach with an exhaustive search algorithm, on a heterogeneous distributed high-performance computing framework. The chemical landscape covered in DockScreen comprises selected environmental and therapeutic chemicals. The target landscape covered in DockScreen was selected based on the availability of high-quality crystal structures that covered the assay space of phase I ToxCast in vitro assays. This in silico data provides continuous information that establishes a means for quantitatively comparing, on a structural biophysical basis, a chemical’s profile of biomolecular interactions. The combined minimum-score chemical/target matrix is provided.
PubDate: Tue, 11 Nov 2014 00:00:00 +000
- The Equine CD4+ Lymphocyte Proteome
Abstract: CD4+ T cells are key players in immunology and disease pathology, including relapsing autoimmune uveitis. Equine recurrent uveitis is the only spontaneous animal model for this disease in man. Knowledge about the CD4+ cell proteome is crucial for studies on possible changes in proteome expression of CD4+ effector cells in disease. For this purpose, we generated a reference dataset of the equine CD4+ cell proteome by sorting equine CD4+ lymphocytes followed by analysis of whole cell lysate as well as membrane protein fraction using mass spectrometry.
PubDate: Thu, 04 Sep 2014 00:00:00 +000
- ECLAT Cluster Spacecraft Magnetotail Plasma Region Identifications
Abstract: The European Space Agency’s four-spacecraft Cluster mission has been observing the Earth’s dynamical magnetotail region since early 2001. The magnetotail, and in particular the hot trapped plasma sheet, is a critical region in the coupled Sun-Earth system. Changes in the solar wind have direct influence on the properties and dynamical processes occurring in this region, which in turn directly influence operational near-Earth space, the upper atmosphere, and even induce large-scale currents in the ground. As part of the European Cluster Assimilation Technology (ECLAT) project, a magnetotail plasma region dataset has been produced to facilitate magnetospheric research and further our understanding of the important processes linking the solar wind-magnetospheric-ionospheric system. The dataset consists of a comprehensive list of plasma regions encountered in the nightside magnetosphere of the Earth by each of the four Cluster spacecraft in the years 2001–2009. The regions identified are those where major energy transport/conversion processes take place and are important regions for system level science. Characteristic averaged parameters describing the behavior of each region are provided for further understanding. The dataset facilitates the use of the large repository of Cluster data by the wider scientific community.
PubDate: Tue, 12 Aug 2014 00:00:00 +000
- MicroRNA Gene Interaction in Amyotrophic Lateral Sclerosis Dataset
Abstract: All microRNAs (miRNAs) in amyotrophic lateral sclerosis (ALS) study were collected from public databases such as miRBase, mir2Disease, and Human miRNA and Disease Database (HMDD). These miRNA datasets were used for target identification; these sets of miRNAs were expressed in brain specific parts of brain such as midbrain, cerebellum, frontal cortex, and hippocampus. Gene’s information and sequences were collected from NCBI and KEGG databases. All miRNAs were used for target prediction against 35 ALS associated genes. Three programs were used for target identification, namely, miRanda, TargetScan, and PicTar. The dataset contained information about miRNA targets sites identified by each program. Intersection studies of three programs such as miRanda versus TargetScan, miRanda versus PicTar, and TargetScan versus PicTar were carried out with all datasets. Target sites identified by each program were further explored for distribution of target sites across 35 genes in 5′ UTR, CDS, and 3′ UTR for miRNAs expressed in midbrain, cerebellum, frontal cortex, and hippocampus as predicted. Dataset was also used for calculation of multiplicity and coopretivity; this information was then used for construction of complex gene-microRNA interaction map.
PubDate: Mon, 30 Jun 2014 11:48:49 +000
- Mapping the Slums of Dhaka from 2006 to 2010
Abstract: Background. Rapid urban growth in low and middle income countries is frequently characterized by informal developments. The resulting social segregation and slums show disparities in health outcomes for the populations of the world’s megacities. To address these challenges, information on the spatial distribution of slums is necessary, yet the data are rarely available. The goal of this study was to use a remote sensing based approach to map urban slums in Dhaka, the second fastest growing megacity in the world. Methods. Slums were mapped through the visual interpretation of Quickbird satellite imagery between the years 2006 and 2010. Ancillary references included the 2005 census and mapping of slums, Google Earth, and geolocated photographs. The 2006 slums were first delineated and filtered in GIS to avoid small, isolated slums. For 2010, changes to the 2006 slums were defined over the latter’s polygons to retain border consistency. Conclusions. The dataset presented here can be considered a stepping stone for further research on slums and urban expansion in Dhaka. The slum distribution dataset is useful to be pooled with other data to reveal trends of informal settlement growth for local health policy advice in Dhaka.
PubDate: Wed, 25 Jun 2014 00:00:00 +000
- Dataset for Modelling Reaction Mechanisms Using Density Functional Theory:
Mechanism of ortho-Hydroxylation by High-Valent Iron-Oxo Species
Abstract: Modelling reaction mechanisms using density functional theory is one of the popular routes to underpin the course of a chemical reaction. Although numerous publications have come out in this area, the pitfall of modelling such reactions and explicitly publishing the entire data set (structures, energies, coordinates, spin densities, etc.) which lead to the conclusions are scarce. Here we have attempted to set a trend wherein all the computed data to underpin the reaction mechanism of ortho-hydroxylation of aromatic compounds by high-valent iron-oxo complexes (–OOH, =O, and =O) are collected. Since the structure, energetics and other details of the calculations can be employed in future to probe/understand the reactivity pattern of such species, establishing the data set is justified. Here by analysing the presented results we also discuss in brief the presented results.
PubDate: Sun, 08 Jun 2014 00:00:00 +000
- The In Vitro Susceptibility of Biofilm Forming Medical Device Related
Pathogens to Conventional Antibiotics
Abstract: Minimum inhibitory concentration (MIC), minimum bactericidal concentration (MBC), and minimum biofilm eradication concentration (MBEC) and kill kinetics were established for vancomycin, rifampicin, trimethoprim, gentamicin, and ciprofloxacin against the biofilm forming bacteria Staphylococcus epidermidis (ATCC 35984), Staphylococcus aureus (ATCC 29213), Methicillin Resistant Staphylococcus aureus (MRSA) (ATCC 43300), Pseudomonas aeruginosa (PAO1), and Escherichia coli (NCTC 8196). MICs and MBCs were determined via broth microdilution in 96-well plates. MBECs were studied using the Calgary Biofilm Device. Values obtained were used to investigate the kill kinetics of conventional antimicrobials against a range of planktonic and biofilm microorganisms over a period of 24 hours. Planktonic kill kinetics were determined at 4xMIC and biofilm kill kinetics at relative MBECs. Susceptibility of microorganisms varied depending on antibiotic selected and phenotypic form of bacteria. Gram-positive planktonic isolates were extremely susceptible to vancomycin (highest MBC: 7.81 mg L−1: methicillin sensitive and resistant S. aureus) but no MBEC value was obtained against all biofilm pathogens tested (up to 1000 mg L−1). Both gentamicin and ciprofloxacin displayed the broadest spectrum of activity with MIC and MBCs in the mg L−1 range against all planktonic isolates tested and MBEC values obtained against all but S. epidermidis (ATCC 35984) and MRSA (ATCC 43300).
PubDate: Sun, 01 Jun 2014 10:56:18 +000
- New Distributional Data of Butterflies in the Middle of the Mediterranean
Basin: An Area Very Sensitive to Expected Climate Change
Abstract: Butterflies are known to be very sensitive to environmental changes. Species distribution is modified by climate warming with latitudinal and altitudinal range shifts, but also environmental perturbations modify abundance and species composition of communities. Changes can be detected and described when large datasets are available, but unfortunately only for few Mediterranean countries they were created. The butterfly fauna of the Mediterranean Basin is very sensitive to climate warming and there is an urgent need of large datasets to investigate and mitigate risks such as local extinctions or new pest outbreaks. The fauna of Calabria, the southernmost region of peninsular Italy, is composed also of European species having here their southern range. The aim of this dataset paper is to increase and update the knowledge of butterfly distribution in a region very sensitive to climate warming that can become an early-warning area.
PubDate: Mon, 12 May 2014 11:40:11 +000
- Subtracted Transcriptome Profile of Tiger Shrimp (Penaeus monodon) That
Survived WSSV Challenge
Abstract: There is increased interest in the development of virus-resistant or improved shrimp stock because production is currently hindered by outbreaks and limited understanding of shrimp defense. Recent advancement now allows for high-throughput molecular studies on shrimp immunity. We used next-generation sequencing (NGS) coupled with suppression subtractive hybridization (SSH) to generate a transcriptome database of genes from tiger shrimp that survived White spot syndrome virus (WSSV) challenge. A total of 9,597 unique sequences were uploaded to NCBI Sequence Read Archive with accession number SRR577080. Sixty-five unique sequences, 6% of the total, were homologous to genes of Penaeus monodon. Genes that were initially related to bacterial infection and environmental stress such as 14-3-3 gene, heat shock protein 90, and calreticulin were also found including a few full-length gene sequences. Initial analysis of the expression of some genes was done. Hemocyanin, ferritin, and fortilin-binding protein exhibited differential expression between survivor and control tiger shrimps. Furthermore, candidate microsatellite markers for brood stock selection were mined and tested. Four trinucleotide and one dinucleotide microsatellites were successfully amplified. The study highlights the advantage of the NGS platform coupled with SSH in terms of gene discovery and marker generation.
PubDate: Thu, 08 May 2014 10:10:31 +000
- Multiple Ion Cluster Source for the Generation of Magnetic Nanoparticles:
Investigation of the Efficiency as a Function of the Working Parameters
for the Case of Cobalt
Abstract: We present dataset of Co nanoparticles production using a Multiple Ion Cluster Source (MICS). We study the evolution of the mean size and deposition rate of Co nanoparticles as a function of the power and argon flux applied to the Co magnetron, the aggregation length of the Co magnetron and the total argon flux. The results show the strong influence of these parameters on the mean size of the nanoparticles and the efficiency of the process as well as on the atomic deposition rate. In particular, it is shown that nanoparticles of mean size ranging from 4 to 14 nm can be produced and that the influence of the working parameters on the production of magnetic nanoparticles is more complex than for the case of noble metal presented previously.
PubDate: Tue, 29 Apr 2014 07:25:41 +000
- A Dataset of Experimental HLA-B*2705 Peptide Binding Affinities
Abstract: T-cell epitopes form the basis of many vaccines, diagnostics, and reagents. Current methods for the in silico identification of T-cell epitopes rely, in the main, on the accurate quantitative prediction of peptide-Major Histocompatibility Complex (pMHC) affinity using data-driven computational approaches. Here, we describe a dataset of experimentally determined pMHC binding affinities for the problematic human class I allele HLA-B*2705. Using an in-house, FACS-based, MHC stabilization assay, we measured binding of 223 peptides. This dataset includes both nonbinding and binding peptides, with measured affinities (expressed as of the half-maximal binding level) ranging from 1.2 to 7.4. This dataset should provide a useful independent benchmark for new and existing methods for predicting peptide binding to HLA-B*2705.
PubDate: Sun, 27 Apr 2014 13:18:45 +000
- FTIR Spectra of n-Octanol in Liquid and Solid States
Abstract: The investigation of the temperature dependence of FTIR spectrum of n-octanol in the temperature range from −150°C to 50°C is presented. The observed changes in the registered spectra during gradual heating of the sample were analysed. The structure transformation at the phase transition from solid to liquid phase is detected.
PubDate: Wed, 23 Apr 2014 13:50:59 +000
- Morphological Characterisation of Some Important Indian Garcinia Species
Abstract: The genus Garcinia has over 200 species distributed in the tropics of the world. About 35 species occur in India, many of which are endemic and economically important with immense medicinal properties. However, lack of awareness, coupled with habitat destruction, leads to genetic erosion of this forest resource and many species are threatened. The Indian Institute of Spices Research (IISR), Calicut, has Garcinia genetic resources’ collection of 15 species of Western Ghats and Eastern Himalaya species. The morphological characterisation of the species of these two different eco systems indicates that there are variations within the species of the same ecosystem while there are similarities in the species of two different ecosystems.
PubDate: Wed, 23 Apr 2014 13:45:38 +000
- DNA Microarray Assay Helps to Identify Functional Genes Specific for
Leukemia Stem Cells
Abstract: Chronic myeloid leukemia (CML) is a myeloproliferative disease derived from an abnormal hematopoietic stem cell (HSC) and is consistently associated with the formation of Philadelphia (Ph) chromosome. Tyrosine kinase inhibitors (TKIs) are highly effective in treating chronic phase CML but do not eliminate leukemia stem cells (LSCs), which are believed to be related to disease relapse. Therefore, one major challenge in the current CML research is to understand the biology of LSCs and to identify the molecular difference between LSCs and its normal stem cell counterparts. Comparing the gene expression profiles between LSCs and normal HSCs by DNA microarray assay is a systematic and unbiased approach to address this issue. In this paper, we present a DNA microarray dataset for CML LSCs and normal HSCs to show that the microarray assay will benefit the current and future studies of the biology of CML stem cells.
PubDate: Wed, 04 Sep 2013 08:35:57 +000
- Molecular Data for the Sea Turtle Population in Brazil
Abstract: We report here a dataset comprising nine nuclear markers for the Brazilian population of Cheloniidae turtles: hawksbills (Eretmochelys imbricata), loggerheads (Caretta caretta), olive ridleys (Lepidochelys olivacea), and green turtles (Chelonia mydas). Because hybridization is a common phenomenon between the four Cheloniidae species nesting on the Brazilian coast, we also report molecular markers for the hybrids E. imbricata × C. caretta, C. caretta × L. olivacea, and E. imbricata × L. olivacea and for one hybrid E. imbricata × C. mydas and one between three species C. mydas × E. imbricata × C. caretta. The data was used in previous studies concerning (1) the description of frequent hybrids C. caretta × E. imbricata in Brazil, (2) the report of introgression in some of these hybrids, and (3) population genetics. As a next step for the study of these hybrids and their evolution, genome-wide studies will be performed in the Brazilian population of E. imbricata, C. caretta, and their hybrids.
PubDate: Thu, 22 Aug 2013 08:00:21 +000
- Investigation of the Working Parameters of a Single Magnetron of a
Multiple Ion Cluster Source: Determination of the Relative Influence of
the Parameters on the Size and Density of Nanoparticles
Abstract: Multiple Ion Cluster Source (MICS) is the new optimized route of a standard technique based on a sputtering gas aggregation source, the Ion Cluster Source. The single magnetron used in the standard Ion Cluster Source is replaced by three magnetrons inside the aggregation zone, and they are controlled individually in order to fabricate nanoparticles with the desired and tunable chemical composition. Apart from the working parameters of each magnetron, it is also reported that the relation between the working parameters of individual magnetrons is of prime importance for the control of both the size and density of the nanoparticles. The influences of fluxes of the sputtering gas applied to each magnetron, the total gas flux in the aggregation zone, the position in the aggregation zone of Ag magnetron, and the relative position of the magnetrons in the aggregation zone have been studied through the operation of one of the magnetrons loaded with a silver target.
PubDate: Sun, 18 Aug 2013 10:51:35 +000
- Rainfall, Soil Water Content, and Groundwater Levels at the Riverlands
Nature Reserve (South Africa)
Abstract: Quantified medium- and long-term hydrological datasets are scarce in South Africa, yet they are essential to gain understanding of natural systems, contribute to ecosystem conservation, and ultimately quantify water balance processes accurately. A hydrological experiment was carried out at Riverlands Nature Reserve (Western Cape, South Africa) in order to quantify the components of the soil water balance at experimental sites occupied by endemic and invasive vegetation. In two separate follow-up projects, five-year time series were collected in three treatments, namely, endemic fynbos vegetation, bare soil, and land invaded by Acacia saligna. Rainfall was recorded daily with a manual rain gauge. Groundwater levels were logged hourly at 14 boreholes. Volumetric soil water contents and soil temperatures were logged hourly at different depths in the soil profile. Groundwater levels and soil water contents responded to rainfall with very clear seasonal trends. The data can be applied in water balance and evapotranspiration studies, unsaturated flux studies, soil temperature profile studies, and rainfall-groundwater level response analysis and for calibrating and validating a wide range of hydrological models.
PubDate: Sun, 16 Jun 2013 08:05:43 +000
- Temperature Evolution of Cluster Structures in Ethanol
Abstract: The dependence of FTIR spectrum of pure ethanol on the temperature was investigated. The measurements were performed for frozen (the minimum temperature −180°C) and liquid ethanol (the maximum temperature 40°C). All changes in IR spectrum of ethanol during gradual warming were detected and analyzed. On the bases of preset observations, the conclusions concerning the evolution of cluster structures in ethanol during transition from solid (frozen) state to liquid state were made.
PubDate: Sun, 02 Jun 2013 09:30:42 +000
- A Benchmark Dataset Comprising Partition and Distribution Coefficients of
Abstract: Peptides have a dominant role in biology; yet the study of their physical properties is at best sporadic. Peptide quantitative structure-activity relationship (QSAR) lags far behind the QSAR analysis of drug-like organic small molecules. Traditionally, QSAR has focussed on experimentally determined partition coefficients as the main descriptor of hydrophobicity. A partition coefficient () is the ratio between the concentrations of an uncharged chemical substance in two immiscible phases: most typically water and an organic solvent, usually 1-octanol. A distribution coefficient () is the equivalent ratio for charged molecules. We report here a compilation of partition and distribution coefficients for linear peptides compiled from literature reports, suitable for the development and benchmarking of peptide and prediction algorithms.
PubDate: Thu, 16 May 2013 11:30:17 +000
- Judd-Ofelt Calculations for Nd3+-Doped Fluorozirconate-Based Glasses and
Abstract: A Judd-Ofelt analysis is performed to calculate the optical properties of Nd3+ ions embedded in a fluorozirconate glass matrix. The changes in the Judd-Ofelt parameters were determined as a function of the size of BaCl2 nanocrystals grown inside the matrix. From these data, the radiative decay rates and the branching ratios of every transition in the energy range from 25.000 cm−1 to the ground state are calculated. This was accomplished for samples containing nanocrystals with average sizes ranging from 10 to 40 nm.
PubDate: Thu, 11 Apr 2013 09:04:44 +000
- Bending Angle and Temperature Climatologies from Global Positioning System
Abstract: The Global Positioning System (GPS) Radio Occultation (OR) technique provides estimates of atmospheric density, temperature, and water vapour content with high vertical resolution, global coverage, and high accuracy. We have used data acquired using this technique in the period 1995–2009 to create a reference climatology of radio occultation bending angle and atmospheric temperature which are used for meteorological studies. The bending angle is interesting because it is a direct measurement and independent of models. It is given with one-degree spatial resolution and 50-meter vertical sampling. In addition, we give the temperature climatology with one-degree spatial resolution and 100-meter vertical sampling. This dataset can be used for several applications including weather forecast, physics of atmosphere, and climate changes. Since the GPS signal is not affected by clouds and the acquisitions are evenly distributed in the globe, the dataset is well suited for studying extreme events (such as convective systems and tropical cyclones) and remote areas.
PubDate: Wed, 27 Mar 2013 12:19:15 +000
- Global Speleothem Oxygen Isotope Measurements Since the Last Glacial
Abstract: This synthesis of thirty-six sites (sixty cores with over 27 000 measurements) located around the world facilitates scientific research on the climate of the last 21 000 years ago obtained from oxygen isotope ( or delta-O-18) measurements. Oxygen isotopes in speleothem calcite record the influence of ambient temperature and the isotopic composition of the source water, the latter providing evidence of hydrologic variability and change. Compared to paleoclimate proxies from sedimentary archives, the age uncertainty is unusually small, around +/−100 years for the last 21 000-year interval. Using data contributed to the World Data Center (WDC) for Paleoclimatology, we have created consistently formatted data files for individual sites as well as composite dataset of annual to millennial resolution. These individual files also contain the chronology information about the sites. The data are useful in understanding hydrologic variability at local and regional scales, such as the Asian summer monsoon and the Intertropical Convergence Zone (as discussed in the underlying source publications), and should also be useful in understanding large-scale aspects of hydrologic change since the Last Glacial Maximum (LGM).
PubDate: Tue, 26 Mar 2013 08:45:53 +000
- Optical Constants of - and -Zinc(II)-Phthalocyanine Films
Abstract: We present a dataset of the optical constants of α- and β-zinc(II)-phthalocyanine (ZnPc). They were determined accurately from transmission and differential reflectance spectra, with the surface roughness taken into account. For this purpose, thin films were prepared on quartz glass substrates via physical vapor deposition and characterized by ultraviolet-visible (UV-Vis) spectroscopy before as well as after a well-defined annealing process. Kramers-Kronig consistency of the optical constants obtained was checked by means of a numerical algorithm.
PubDate: Sun, 24 Feb 2013 15:00:01 +000
- Extending MapMan Ontology to Tobacco for Visualization of Gene Expression
Abstract: Microarrays are a large-scale expression profiling method which has been used to study the transcriptome of plants under various environmental conditions. However, manual inspection of microarray data is difficult at the genome level because of the large number of genes (normally at least 30 000) and the many different processes that occur within any given plant. MapMan software, which was initially developed to visualize microarray data for Arabidopsis, has been adapted to other plant species by mapping other species onto MapMan ontology. This paper provides a detailed procedure and the relevant computing codes to generate a MapMan ontology mapping file for tobacco (Nicotiana tabacum L.) using potato and Arabidopsis as intermediates. The mapping file can be used directly with our custom-made NimbleGen oligoarray, which contains gene sequences from both the tobacco gene space sequence and the tobacco gene index 4 (NTGI4) collection of ESTs. The generated dataset will be informative for scientists working on tobacco as their model plant by providing a MapMan ontology mapping file to tobacco, homology between tobacco coding sequences and that of potato and Arabidopsis, as well as adapting our procedure and codes for other plant species where the complete genome is not yet available.
PubDate: Wed, 20 Feb 2013 15:31:22 +000
- First Y-Short Tandem Repeat Categorical Dataset for Clustering
Abstract: The Y-chromosome short tandem repeat (Y-STR) data are mainly collected for a performance benchmarking result in clustering methods. There are six Y-STR dataset items, divided into two categories: Y-STR surname and Y-haplogroup data presented here. The Y-STR data are categorical, unique, and different from the other categorical data. They are composed of a lot of similar and almost similar objects. This characteristic of the Y-STR data has caused certain problems of the existing clustering algorithms in clustering them.
PubDate: Sun, 17 Feb 2013 11:58:13 +000