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https://www.readbyqxmd.com/read/28632236/merraclim-a-high-resolution-global-dataset-of-remotely-sensed-bioclimatic-variables-for-ecological-modelling
#1
Greta C Vega, Luis R Pertierra, Miguel Ángel Olalla-Tárraga
Species Distribution Models (SDMs) combine information on the geographic occurrence of species with environmental layers to estimate distributional ranges and have been extensively implemented to answer a wide array of applied ecological questions. Unfortunately, most global datasets available to parameterize SDMs consist of spatially interpolated climate surfaces obtained from ground weather station data and have omitted the Antarctic continent, a landmass covering c. 20% of the Southern Hemisphere and increasingly showing biological effects of global change...
June 20, 2017: Scientific Data
https://www.readbyqxmd.com/read/28608857/open-for-business
#2
EDITORIAL
(no author information available yet)
No abstract text is available yet for this article.
June 13, 2017: Scientific Data
https://www.readbyqxmd.com/read/28608851/a-global-dataset-of-crowdsourced-land-cover-and-land-use-reference-data
#3
Steffen Fritz, Linda See, Christoph Perger, Ian McCallum, Christian Schill, Dmitry Schepaschenko, Martina Duerauer, Mathias Karner, Christopher Dresel, Juan-Carlos Laso-Bayas, Myroslava Lesiv, Inian Moorthy, Carl F Salk, Olha Danylo, Tobias Sturn, Franziska Albrecht, Liangzhi You, Florian Kraxner, Michael Obersteiner
Global land cover is an essential climate variable and a key biophysical driver for earth system models. While remote sensing technology, particularly satellites, have played a key role in providing land cover datasets, large discrepancies have been noted among the available products. Global land use is typically more difficult to map and in many cases cannot be remotely sensed. In-situ or ground-based data and high resolution imagery are thus an important requirement for producing accurate land cover and land use datasets and this is precisely what is lacking...
June 13, 2017: Scientific Data
https://www.readbyqxmd.com/read/28585926/a-monthly-global-paleo-reanalysis-of-the-atmosphere-from-1600-to-2005-for-studying-past-climatic-variations
#4
Jörg Franke, Stefan Brönnimann, Jonas Bhend, Yuri Brugnara
Climatic variations at decadal scales such as phases of accelerated warming or weak monsoons have profound effects on society and economy. Studying these variations requires insights from the past. However, most current reconstructions provide either time series or fields of regional surface climate, which limit our understanding of the underlying dynamics. Here, we present the first monthly paleo-reanalysis covering the period 1600 to 2005. Over land, instrumental temperature and surface pressure observations, temperature indices derived from historical documents and climate sensitive tree-ring measurements were assimilated into an atmospheric general circulation model ensemble using a Kalman filtering technique...
June 6, 2017: Scientific Data
https://www.readbyqxmd.com/read/28585923/dats-the-data-tag-suite-to-enable-discoverability-of-datasets
#5
Susanna-Assunta Sansone, Alejandra Gonzalez-Beltran, Philippe Rocca-Serra, George Alter, Jeffrey S Grethe, Hua Xu, Ian M Fore, Jared Lyle, Anupama E Gururaj, Xiaoling Chen, Hyeon-Eui Kim, Nansu Zong, Yueling Li, Ruiling Liu, I Burak Ozyurt, Lucila Ohno-Machado
Today's science increasingly requires effective ways to find and access existing datasets that are distributed across a range of repositories. For researchers in the life sciences, discoverability of datasets may soon become as essential as identifying the latest publications via PubMed. Through an international collaborative effort funded by the National Institutes of Health (NIH)'s Big Data to Knowledge (BD2K) initiative, we have designed and implemented the DAta Tag Suite (DATS) model to support the DataMed data discovery index...
June 6, 2017: Scientific Data
https://www.readbyqxmd.com/read/28556827/riceatlas-a-spatial-database-of-global-rice-calendars-and-production
#6
Alice G Laborte, Mary Anne Gutierrez, Jane Girly Balanza, Kazuki Saito, Sander J Zwart, Mirco Boschetti, M V R Murty, Lorena Villano, Jorrel Khalil Aunario, Russell Reinke, Jawoo Koo, Robert J Hijmans, Andrew Nelson
Knowing where, when, and how much rice is planted and harvested is crucial information for understanding the effects of policy, trade, and global and technological change on food security. We developed RiceAtlas, a spatial database on the seasonal distribution of the world's rice production. It consists of data on rice planting and harvesting dates by growing season and estimates of monthly production for all rice-producing countries. Sources used for planting and harvesting dates include global and regional databases, national publications, online reports, and expert knowledge...
May 30, 2017: Scientific Data
https://www.readbyqxmd.com/read/28556826/corrigendum-the-contemporary-distribution-of-trypanosoma-cruzi-infection-in-humans-alternative-hosts-and-vectors
#7
Annie J Browne, Carlos A Guerra, Renato Vieira Alves, Veruska Maia da Costa, Anne L Wilson, David M Pigott, Simon I Hay, Steve W Lindsay, Nick Golding, Catherine L Moyes
This corrects the article DOI: 10.1038/sdata.2017.50.
May 30, 2017: Scientific Data
https://www.readbyqxmd.com/read/28534871/development-of-a-gridded-meteorological-dataset-over-java-island-indonesia-1985-2014
#8
Yanto, Ben Livneh, Balaji Rajagopalan
We describe a gridded daily meteorology dataset consisting of precipitation, minimum and maximum temperature over Java Island, Indonesia at 0.125°×0.125° (~14 km) resolution spanning 30 years from 1985-2014. Importantly, this data set represents a marked improvement from existing gridded data sets over Java with higher spatial resolution, derived exclusively from ground-based observations unlike existing satellite or reanalysis-based products. Gap-infilling and gridding were performed via the Inverse Distance Weighting (IDW) interpolation method (radius, r, of 25 km and power of influence, α, of 3 as optimal parameters) restricted to only those stations including at least 3,650 days (~10 years) of valid data...
May 23, 2017: Scientific Data
https://www.readbyqxmd.com/read/28534869/advancing-precambrian-palaeomagnetism-with-the-paleomagia-and-pint-qpi-databases
#9
Toni H Veikkolainen, Andrew J Biggin, Lauri J Pesonen, David A Evans, Nicholas A Jarboe
State-of-the-art measurements of the direction and intensity of Earth's ancient magnetic field have made important contributions to our understanding of the geology and palaeogeography of Precambrian Earth. The PALEOMAGIA and PINT(QPI) databases provide thorough public collections of important palaeomagnetic data of this kind. They comprise more than 4,100 observations in total and have been essential in supporting our international collaborative efforts to understand Earth's magnetic history on a timescale far longer than that of the present Phanerozoic Eon...
May 23, 2017: Scientific Data
https://www.readbyqxmd.com/read/28534868/a-new-long-term-daily-satellite-based-rainfall-dataset-for-operational-monitoring-in-africa
#10
Ross I Maidment, David Grimes, Emily Black, Elena Tarnavsky, Matthew Young, Helen Greatrex, Richard P Allan, Thorwald Stein, Edson Nkonde, Samuel Senkunda, Edgar Misael Uribe Alcántara
Rainfall information is essential for many applications in developing countries, and yet, continually updated information at fine temporal and spatial scales is lacking. In Africa, rainfall monitoring is particularly important given the close relationship between climate and livelihoods. To address this information gap, this paper describes two versions (v2.0 and v3.0) of the TAMSAT daily rainfall dataset based on high-resolution thermal-infrared observations, available from 1983 to the present. The datasets are based on the disaggregation of 10-day (v2...
May 23, 2017: Scientific Data
https://www.readbyqxmd.com/read/28534867/unique-identifiers-for-small-molecules-enable-rigorous-labeling-of-their-atoms
#11
Hesam Dashti, William M Westler, John L Markley, Hamid R Eghbalnia
Rigorous characterization of small organic molecules in terms of their structural and biological properties is vital to biomedical research. The three-dimensional structure of a molecule, its 'photo ID', is inefficient for searching and matching tasks. Instead, identifiers play a key role in accessing compound data. Unique and reproducible molecule and atom identifiers are required to ensure the correct cross-referencing of properties associated with compounds archived in databases. The best approach to this requirement is the International Chemical Identifier (InChI)...
May 23, 2017: Scientific Data
https://www.readbyqxmd.com/read/28509912/a-resource-on-latitudinal-and-altitudinal-clines-of-ecologically-relevant-phenotypes-of-the-indian-drosophila
#12
Subhash Rajpurohit, Xiaqing Zhao, Paul S Schmidt
The unique geography of the Indian subcontinent has provided diverse natural environments for a variety of organisms. In this region, many ecological indices such as temperature and humidity vary predictably as a function of both latitude and altitude; these environmental parameters significantly affect fundamental dynamics of natural populations. Indian drosophilids are diverse in their geographic distribution and climate tolerance, possibly as a result of climatic adaptation. These associations with environmental parameters are further reflected in a large number of clines that have been reported for various fitness traits along these geographical ranges...
May 16, 2017: Scientific Data
https://www.readbyqxmd.com/read/28509911/a-dataset-of-forest-biomass-structure-for-eurasia
#13
Dmitry Schepaschenko, Anatoly Shvidenko, Vladimir Usoltsev, Petro Lakyda, Yunjian Luo, Roman Vasylyshyn, Ivan Lakyda, Yuriy Myklush, Linda See, Ian McCallum, Steffen Fritz, Florian Kraxner, Michael Obersteiner
The most comprehensive dataset of in situ destructive sampling measurements of forest biomass in Eurasia have been compiled from a combination of experiments undertaken by the authors and from scientific publications. Biomass is reported as four components: live trees (stem, bark, branches, foliage, roots); understory (above- and below ground); green forest floor (above- and below ground); and coarse woody debris (snags, logs, dead branches of living trees and dead roots), consisting of 10,351 unique records of sample plots and 9,613 sample trees from ca 1,200 experiments for the period 1930-2014 where there is overlap between these two datasets...
May 16, 2017: Scientific Data
https://www.readbyqxmd.com/read/28509907/a-database-of-georeferenced-nutrient-chemistry-data-for-mountain-lakes-of-the-western-united-states
#14
Jason Williams, Stephanie G Labou
Human activities have increased atmospheric nitrogen and phosphorus deposition rates relative to pre-industrial background. In the Western U.S., anthropogenic nutrient deposition has increased nutrient concentrations and stimulated algal growth in at least some remote mountain lakes. The Georeferenced Lake Nutrient Chemistry (GLNC) Database was constructed to create a spatially-extensive lake chemistry database needed to assess atmospheric nutrient deposition effects on Western U.S. mountain lakes. The database includes nitrogen and phosphorus water chemistry data spanning 1964-2015, with 148,336 chemistry results from 51,048 samples collected across 3,602 lakes in the Western U...
May 16, 2017: Scientific Data
https://www.readbyqxmd.com/read/28509898/modern-pollen-data-from-the-canadian-arctic-1972-1973
#15
Harvey Nichols, Susann Stolze
This data descriptor reports results of a 1972-73 baseline study of modern pollen deposition in the Canadian Arctic to originally aid interpretation of Holocene pollen diagrams from that region, especially focussed on the arctic tree-line. The data set is geographically unique due to its extent, and allows the assessment of the effects of modern climate change on northern ecosystems, including fluctuations of the a arctic tree-line. Repeated sampling was conducted along an interior transect at 29 sites from the Boreal Forest to the High Arctic, with five additional coastal sites covering a total distance of 3,200 km...
May 16, 2017: Scientific Data
https://www.readbyqxmd.com/read/28509897/disambiguation-of-patent-inventors-and-assignees-using-high-resolution-geolocation-data
#16
Greg Morrison, Massimo Riccaboni, Fabio Pammolli
Patent data represent a significant source of information on innovation, knowledge production, and the evolution of technology through networks of citations, co-invention and co-assignment. A major obstacle to extracting useful information from this data is the problem of name disambiguation: linking alternate spellings of individuals or institutions to a single identifier to uniquely determine the parties involved in knowledge production and diffusion. In this paper, we describe a new algorithm that uses high-resolution geolocation to disambiguate both inventors and assignees on about 8...
May 16, 2017: Scientific Data
https://www.readbyqxmd.com/read/28485724/erratum-t1-weighted-in-vivo-human-whole-brain-mri-dataset-with-an-ultrahigh-isotropic-resolution-of-250%C3%A2-%C3%AE-m
#17
Falk Lüsebrink, Alessandro Sciarra, Hendrik Mattern, Renat Yakupov, Oliver Speck
No abstract text is available yet for this article.
May 9, 2017: Scientific Data
https://www.readbyqxmd.com/read/28485719/a-hybrid-organic-inorganic-perovskite-dataset
#18
Chiho Kim, Tran Doan Huan, Sridevi Krishnan, Rampi Ramprasad
Hybrid organic-inorganic perovskites (HOIPs) have been attracting a great deal of attention due to their versatility of electronic properties and fabrication methods. We prepare a dataset of 1,346 HOIPs, which features 16 organic cations, 3 group-IV cations and 4 halide anions. Using a combination of an atomic structure search method and density functional theory calculations, the optimized structures, the bandgap, the dielectric constant, and the relative energies of the HOIPs are uniformly prepared and validated by comparing with relevant experimental and/or theoretical data...
May 9, 2017: Scientific Data
https://www.readbyqxmd.com/read/28485718/transcriptional-profile-of-hippocampal-dentate-granule-cells-in-four-rat-epilepsy-models
#19
Raymond Dingledine, Douglas A Coulter, Brita Fritsch, Jan A Gorter, Nadia Lelutiu, James McNamara, J Victor Nadler, Asla Pitkänen, Michael A Rogawski, Pate Skene, Robert S Sloviter, Yu Wang, Wytse J Wadman, Claude Wasterlain, Avtar Roopra
Global expression profiling of neurologic or psychiatric disorders has been confounded by variability among laboratories, animal models, tissues sampled, and experimental platforms, with the result being that few genes demonstrate consistent expression changes. We attempted to minimize these confounds by pooling dentate granule cell transcriptional profiles from 164 rats in seven laboratories, using three status epilepticus (SE) epilepsy models (pilocarpine, kainate, self-sustained SE), plus amygdala kindling...
May 9, 2017: Scientific Data
https://www.readbyqxmd.com/read/28485717/seagrass-morphometrics-at-species-level-in-moreton-bay-australia-from-2012-to-2013
#20
Jimena Samper-Villarreal, Chris Roelfsema, Eva M Kovacs, Novi S Adi, Mitchell Lyons, Peter J Mumby, Catherine E Lovelock, Megan I Saunders, Stuart R Phinn
Seagrass above, below and total biomass, density and leaf area, length and width were quantified at a species level for 122 sites over three sampling periods in Moreton Bay, Australia. Core samples were collected in two regions: (1) a high water quality region with varying species assemblages and canopy complexity (98 sites); and (2) along a turbidity gradient in the bay (24 sites within four locations). Core samples were collected using a 15 cm diameter×20 cm long corer. Seagrass dry biomass per component was quantified per species present in each sample...
May 9, 2017: Scientific Data
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