reverse engineering file containing time series data

Question

I have to decode a proprietary file format which mainly contains time series data. The only thing I was told was that the content is 'zipped', although I am not sure whether it is really zipped or some in-house compression method is used. Here is a snippet of the data:

789cecdd55d895d5bb057c26489774a7ac798f713feffbd2dd255d4a2b29
082220a1d24887020648194883747788a4840828024a4a238d347c13beef
60afb5f777fcac83e7372efedb8d27e3bae635e386d7b592c5cb9f375ebc
93f1e2c543bc4b09dac5eb302c7f3c5303a910835d32c2f6b579a41bc633
ab66d2945a4c47e95d36e52db44246647789178832c6b03792a0a574b2bb
b493d194a3f81b9fb3bf1ed734de70adcacdf2a5ac922228122c5f9431ed

I did a [byte] frequency analysis and it shows a uniform distribution. If the bytes are plot (with A.X.E.), a very homogeneous image is shown:

I've checked for the header of common compression algorithms but found none of them.

Any help is highly appreciated.

EDIT

Some of these file can be accessed on the following links: First file, Second file, Third file, Forth file

The executable which produced/validated these files is not available.

EDIT 2

Using binwalk -Me <filename> (github.com/devttys0/binwalk) it is possible to extract two zlib-ed files from each of the previous files.

Here's the header of one of the files:

0a002f220000180100002800e80364001f783c0001a0349c3574367136db
3582348932bb30dd30a12f2b2f542ff02e432f432ff62edd2f772f6a2f2e
2fbc2edb2d382dcc2cfe2c272d492d342d1d2d352d352d00000000000000
000000000000000000000000000000000000000000000000000000000000
000000000000000000000000000000000000000000000000000000000000
000000000000000000000000000000000000000000000000000000000000
000000000000000000000000000000000000000000000000000000000000

Answer 1

It would help if I knew what the data represented, but I have determined the format of the files once unzipped. Each unzipped file has this structure:

short unk1;           // 10
short num_records;    // 8751  (8760 hours per year)
short unk2;           // 0
short num_samples;    // varies per file from 8 to 179
short unk3;           // 0
short unk4;           // 40
short unk5;           // 1000
short unk6;           // 100
int data_bytecount;   // varies per file (remaining byte count of the file)
Record records[num_records];

Where each Record is defined as: (defined as an 010Editor template)

typedef struct {
    byte flag;                // 0 = no data; 1 = sample data follows
    if(flag == 1)
        short data[num_samples];
} Record;

For example, in the first file unzipped from "295", there are 8751 records with 179 samples each. Most records only have ~30 non-zero values. The samples for records[0] look like:

15185, 15185, 15060, 14968, 14719, 14583, ...

I suspect the data values are normalized floats, perhaps dividing them by 1000.0 or using 16384 as a zero reference for positive/negative numbers. I also suspect each file contains 1 year's worth of records with 1 per hour.

I'd be interested in knowing what the values represent ... just to have a complete picture.