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In this paper, data of different microbial populations in the coal spoil substrate and geochemical background data are given, and they are compared with former data of microbial communities in sandy substrates and their impact to the environment.
The obtained data correspond well with a parallel and long-term monitoring of ground water in the coal spoil area which is characterized by high concentrations of SO42-, Fe and NH4+ and an enhanced acidity [3].
Therefore, a reduction of the high oxidation potential, acidity and salinity by sulfate reduction processes is too slow under the actual conditions and will show no substantial changes in the next future.
In the sandy Lusatian spoil material, only from a depth of 12 – 15 m a complete sulfate reduction was detected [1]; in the oxidation zones above no sulfate reduction could be shown.
Weber of the LMBV for the data support and cooperation in this project.

In this presentation, we will present data on the performance of a high-rate sulfate reduction process within the pH range 6 to 4 when treating synthetic AMD.
High rate sulfate reduction in a submerged anaerobic membrane bioreactor (SAMBaR) at high salinity.
Thermophilic (55 - 65°C) and extreme thermophilic (70 - 80°C) sulfate reduction in methanol and formate fed UASB reactors.
High-rate sulfate reduction at high salinity (up to 90 mS.cm-1) in mesophilic UASB reactors.
Low pH (6, 5 and 4) sulfate reduction during the acidification of sucrose under thermophilic (55 oC) conditions.

They are beneficial for data representation and classification and have been widely used in recent years.
These improved subspace algorithms not only describe the nonlinear structure of the data well but also can project new data points directly.
Supposing represents the high-dimensional space of the original data, is a low-dimensional manifold embedded in , and , for a low-dimensional mapping function , to maintain the intrisic geometrical structure of the data manifold, find a function that meets the following condition
The IsoProjection algorithm is able to describe the manifold structure of the data and extract useful information from the data for classification, so its recognition performance is better than PCA and LDA.
Mikhail: Laplacian Eigenmaps for Dimensionality Reduction and Data Representation.

The HDH plate was rolled only to 75% reduction in thickness.
This is reasonable since the HDH product was formed using HIP forming methods and not by sintering. [20] Figure 4 shows a table of Charpy Impact data (A) and a histogram of the same data (B).
This was significantly lower than both the blended elemental sample rolled to 75% reduction, 34.03 J (25.06 ft lb), and the prealloyed HDH powder sample also rolled to 75% reduction in thickness, 33.19 J (24.44 ft lb).
Deviation Joules (ft.lb) 4.41 (3.25) 4.47 (3.29) 4.18 (3.08) (A) (B) Figure 4: Charpy Impact data BE 75% BE 87% HDH 1000x Magnification (D) (E) (F) Figure 5 SEM images of Charpy Impact Sample Fracture Surface in the short transverse direction BE 75% BE 87% HDH As Received (A) (B) (C) Mill Annealed (D) (E) (F) Figure 6 (0002) Pole Figures of selected samples Conclusions and Recommendations · HDH samples had equiaxed α grains while the Blended Elemental samples had elongated α grains
Pages 888-895. 2013 [6] ATI Ti-6Al-4V Data Sheet (Allegheny Technologies Incorporated, Philadelphia, USA, 2012) [7] Wang, H., Fang, Z.

Weather data files used in the simulation are created based on Chinese Typical Year Weather (CTYW) data.
The source data used for CTYW came from the International Surface Weather Observations [4].
SAGSHP design data.
This model depends on user-supplied data files containing catalog data for the capacity and power draw.
China building standard meteorological data sets [M].

Many studies on heat pump have been performed [1-4], and now it is used widely for energy saving and emission reduction.
Retrofit results By the end of March 2012, comprehensive evaluations for Bohai oil base heat supply system retrofit were performed and relevant data are summarized in Table 2 and Table 3.
Energy saving and emission reduction evaluation Gangqu Donggu Binhai Total Energy saving(tce/a) 1071 5523 2117 8711 CO2 reduction (t/a) 3796 14823 8536 27155 SO2 reduction (t/a) 5.2 30.1 8.4 43.7 NOx reduction (t/a) 6.7 32.9 18.0 57.6 SS reduction (t/a) 7.3 25.2 12.8 45.3 Table 3.
Cost reduction, energy conservation and utilization of geothermal resources will reach higher levels.
The energy saving and emission reduction evaluation data as well as economic evaluation data show that the new heating mode is much better than before.

The network data was obtained and modeled on NEPLAN software for simulation and technical evaluation of the networks.
The study concluded that a further reduction in technical losses was achieved with an increase in system efficiency.
The data for the purpose and analysis is taken from [15]. 2.
R ∝ L A or R = ρL A (4) Where R is the resistance of the conductor, L is the length of the conductor, A is the area of the conductor, ρ is a constant depending on the nature of the material of the conductor and is known as its specific resistance or resistivity The load data and line data for modelling the Ajilosun 38-Bus distribution network is shown in Table 1 and 2.
The line parameters used for the extension of aggregated load points in the simulation model is given in Table 3, and the transformer reactance data used in the modelling is given in Table 4.

China ahanren888@163.com,bxuqiangf22@126.com,c75722279@qq.com Keywords: sheet metal forming; strain analysis; thickness reduction rate; forming limited diagram Abstract.
Then, （7） Here, is thickness reduction rate.
The average thickness reduction rate in each portion is used in correction same area method come from finite element analysis for the workpiece.
The average thickness reduction rate in each portion is taken into account in the strain calculation.
We can obtain the average thickness reduction rate in each portion through finite element analysis or experiments. 3) The data on strain obtained from the deep drawing forming experiment show that the strain curve from correction same area method is close to the experimental strain curve.

Sensitivity of Fatigue Crack Growth Data to Specimen Geometry Seitl Stanislav 1, a, Hutař Pavel1,b and Knésl Zdeněk1,c 1 Institute of Physics of Materials, Academy of Sciences of the Czech Republic Zizkova 22, 616 62 Brno, Czech Republic a seitl@ipm.cz, bhutar@ipm.cz, cknesl@ipm.cz Keywords: Fatigue crack, Paris law, threshold values.
In a threshold region a significant shift in the data of the fatigue crack propagation rate can be observed.
To analyses it the authors will present their own laboratory fatigue crack growth rate test data measured on two different specimens with different levels of constraint and for different steels.
The authors will present their own laboratory fatigue crack growth rate test data measured on two different specimens with different levels of constraint and for different steels.
Because load reduction occurs gradually as the crack grows, no true threshold is reached in a practical amount of time.

The paper make a analysis of coal enterprises' inputs and outputs on the green mining, establishment of evaluation system of green mining, using the data envelopment analysis(DEA), to establish the model of coal enterprise's green mining of efficiency evaluation, and application in practice.
Based on the analysis of the input and output data, DEA can get each DMU efficiency quantitative index and DMU grading sort, determine the effective DMU, and point out non-effective reason and degree of other DMUs.
In addition, in order to ensure the data authority and reliability, in the data collection process, the coal enterprises related data is references
In order to meet the requirement of the model and exactly reflect green mining efficiency of the coal enterprise , from the two aspects of literature research and data availability , this paper use the index used to analyze the input and output index of green mining of coal enterprise .
Specific data as is shown in table 1.