Due to the high diversity of experiments and measurements inside CONQUER and
due to the high interdisciplinarity of the consortium we expect a vast amount
of automatically generated data from different instruments as well as
metadata. The nature of data will vary widely, including textual, numerical,
qualitative and quantitative data, mostly in digital form. The DMP will
outline how to handle, curate, regulate, access and publish data. Each PI
within the CONQUER consortium is responsible for compliance with these
guidelines at his/her research site.

The scope of this DMP includes all data that is acquired through the research
carried out in CONQUER. Any information should be recorded regardless of the
form or the media in which they may exist, which is necessary to support or
validate observations, findings or outputs.

#  Open data policy

##  Relation to dissemination and IP management

It must be emphasised that the guidelines for data management must be
intimately intertwined with the rules for dissemination of the results and for
protection of intellectual property (IP) (treated in the separate deliverable
D1.1, IP management plan). Owing to their nature, dissemination of results,
the provision of open access data and the protection of IP are partially
mutually conflicting and cannot, thus, be treated separately.

There is no specific potential of conflicts between open access data and open
access publications

A partial conflict can arise in the context of IP according to article 27 of
the GA (protection of results — visibility of EU funding) which contains an
explicit obligation for examining results for the possibility to protect them:

_27.1 Obligation to protect the results_

_Each beneficiary must examine the possibility of protecting its results and
must adequately protect them — for an appropriate period and with appropriate
territorial coverage — if:_

  1. _the results can reasonably be expected to be commercially or industrially exploited and_

  

  2. _protecting them is possible, reasonable and justified (given the circumstances). When deciding on protection, the beneficiary must consider its own legitimate interests and the legitimate interests (especially commercial) of the other beneficiaries._

  

  

Though scientific data themselves cannot be protected (does not by itself
generate IP), they are the basis for all IPR generated within CONQUER.
Therefore data cannot be made open access before checking their relevance for
IP protection. Furthermore data have to go through a certain procedure for
quality assurance (QA) because low quality data are not only useless but may
even be counter-productive when other researchers rely on them.

Currently there is consensus in the consortium of CONQUER that the basic
mechanism for quality assurance is to publish the data and/or results related
to these data in peer reviewed journals thus demonstrating scientific
significance. No other data shall be considered for being made open access. It
may, however, turn out in the future that there are other means for quality
assurance which may also qualify the data for being made open access. The
identification of such alternative procedures will be a matter of discussion
in the consortium and may lead to future modifications of the data management
plan.

##  Data life cycle for scientific data

Fig. 1 shows a general workflow for the treatment of research data and project
results in

CONQUER which is in accordance with both article 27 and 29 of the GA. In the
first stage

Research data

IP relevant ?

protection

priority date

\+

\-

publication

relevant ?

\+

\-

publication

acceptance date

annotation, metadata

open access

database

internal

database

public

Delay: > 4 months

Delay: > 4 months

GA

§

27

GA

§

29

coordinator:

regular update of info on IP

quality assurance

procedure

project results

optional

embargo period

open access

publications

Fig. 1. Schematic of the workflow for the treatment of research data with
respect to IP, dissemination and open access.

research data are usually collected in either one or more local databases. In
many cases these data will generate further project results (inventions,
software, designs, reports,...). Each party generating new data has to check
if they are relevant for results which can be protected.

If results are identified as relevant for protection, a decision shall be made
by the respective party/parties about the most appropriate method of
protection (e.g. patenting). No further dissemination of the results under
consideration can take place before the possibility of protection has been
clarified and, in case the protection is possible, a priority date has been
obtained (e. g. a patent has been filed). Fig. 1 illustrates the priorities.
Consequently the timing for publications and the public access of publications
is constrained by protection measures. It must be emphasised that, given the
usual times for preparing e.g. a patent submission, it may take at least 4 – 6
months before the results can be published. In the second step, an assessment
has to be made if the results should be published. Publishing can be
restricted for a number of further reasons, not just related to patenting of
technical inventions For example, researchers may decide to keep confidential
since the results are not yet mature enough (further improvements are being
done), or for other commercial or legitimate reasons.

After the check for IP, the consortium members may or may not move on
continuously to exploit the results – whereby exploitation means "use" and is
not necessarily commercial. For example, results might be made available for
use by researchers (under appropriate terms), or educators, or industry.

According to the EC open access data policy as many data as possible should be
made accessible to the public so as they are a valuable resource for
stimulating further innovation, also by users outside of the project
consortium. In any case, however, QA must precede any release of the data to
the open access database, as illustrated in fig. 1\. Following the current
consensus of the consortium QA is done by scientific publication. Considering
the usual times for submission and reviewing another delay of at least 4 -6
months must be expected. Once the main findings are published the data
supporting these findings can be made publicly available, unless there are
reasons not to make them open access (see 2.3, Embargo period).

Following this workflow data which can be scientifically published without
affecting protection can be made publicly available immediately after
publication.

##  Embargo period

In order to assure that the researches have enough time to analyse and publish
the generated data an embargo period of up to 3 years can be defined. During
this period the PI in agreement with the coordinator can decide on prematurely
making the data open access. Independent of the embargo period the data must
not be made public if the data are relevant for intellectual property rights
(D1.1, IP management plan). In special cases the embargo period can be
extended to a maximum of 6 years.

##  Data storage

All open access data will be stored making use of the EU-funded open access
project _openAire_ ( _https://www.openaire.eu/_ )  and its free open data
repository _ZENODO_ ( _https://zenodo.org/_ )  were selected to upload and
share both publications and data. A new repository called ‘  _CONQUER FET-open
project_ ’  has been created in the platform _Zenodo_ , which provides free
storage space on a CERN-based server system (unlimited, max. 2 GB per file).
This community will be used to collect all publications. In the CONQUER
webpage a link will be crated to this database which also implements all
functions for visualisation, filtering and download. Open access data will
then be stored under a license according to
_http://creativecommons.org/publicdomain/zero/1.0/_ ;  however, there is
always also the possibility to upload data under closed access conditions.

#  Curation and preservation

After the generation of scientific data, all partners are responsible to
manage, annotate and securely store the data at their site. Regardless of
public accessibility and associated central data collection, each participant
is responsible to archive the data for at least 10 years, irrespective of
whether they exist in hardcopy or electronic form.

Management and annotation of research data must be as such as to assure the
following:

  * Discoverability: metadata published with the research data must be sufficiently detailed so that public users can discover what research data exists. Before data will be made available to the public the project steering group (PSG) will decide which kind of identifier (Persistent identifier PI, UID) will be appropriate. 

  

  * Understandability: metadata must include a description of data acquisition, origin, processing and/or analysis. 

  

Data and metadata shall be stored in standard formats if they exist (Detailed
specification of the data formats is found in sec. 6).

Following the recommendations of the Research Councils UK (RCUK)[2] data that
is used in publications will be accessible for at least 10 years through the
database on the website. All data published within CONQUER will be equipped
with a unique identifier.

A regular assessment has to be carried out in order to identify erroneous data
that can be removed from the database (in this case the meta data shall be
preserved and extended by a statement, why the data is not accessible any
more).

##  Data security

There are two types of data security to be considered: 1.) _Secure transfer_
and 2.) _secure storage_ of research data. When data is transferred between
the partners for the purpose of discussion or central collection a secure
connection has to be established (e.g. ssh, hhtps, sftp). Transmission via
email is discouraged. Secure storage of data at the local sites of the
partners has to be managed by the local PI. The local PI is responsible for
establishing secure data storage and back-up systems to prevent data loss and
unauthorised access. After upload of open access data to ZENODO, data security
is provided by the mechanisms of ZENODO.

#  Data sharing policies (within the consortium)

In order to make use of synergies of recorded data, data sharing can and will
occur within the consortium. The following guidelines will be established to
specify the data sharing processes:

  * Define data sharing policies: The data originator may define a policy for how to handle the data. 

  

  * Use of data for publication or exploitation has to be attuned with the originator of the data. If ambiguities or disputes arise, the coordinator may dictate further steps and has the final word. 

  

#  Data publication and third party accessibility

CONQUER is a scientific project and therefore all partners are intrinsically
motivated to publish all findings, results, successes and failures as early as
possible. All data generated within CONQUER that are made publicly accessible
are published under a suitable license which should be chosen individually for
each data set by the PI. Examples for open access licences can be found e.g.
on the Creative Commons website [3]. A guideline for choosing appropriate
licenses for different classes of data inside CONQUER will be elaborated by
the PSG.

Furthermore CONQUER pursues a multiple licencing strategy which applies if
third parties want to use the published data for commercial purposes. In this
case an appropriate license for commercial purposes must be defined.

As stated above, if the data is copied, modified and/or reused the source of
the data has to be properly cited. Properly cited means that the citation
comprises enough information to uniquely locate the version of the data being
cited (even if its location changes, → persistent identifier).

#  Data description and data standards

This section contains a summary of all datasets which will be produced within
CONQUER. It should be emphasised that this list is based on the current state
of knowledge and is expected to be extended and/or corrected during the
project lifetime. Dataset sises and their expected numbers are estimates and
serve for configuring the server for the centralised database.  
  
<table>  
<tr>  
<th>

**Name/party**

</th>  
<th>

**NQR spectra /TUG**

</th> </tr>  
<tr>  
<td>

**Description**

</td>  
<td>

Each synthesised NQR-CR compound will produce several files corresponding to
peak detection, T1 and T2 measurement, determination of the temperature
coefficient.

There is no standardised file format available for NQR spectra.

</td> </tr>  
<tr>  
<td>

</td>  
<td>

</td>  
<td>

**format**

</td>  
<td>

**size per set**

</td>  
<td>

**# sets**

</td> </tr>  
<tr>  
<td>

**Raw data**

</td>  
<td>

series of frequencies and complex numbers for the signals

</td>  
<td>

ASCII

</td>  
<td>

<100 MB

</td>  
<td>

≤100

</td> </tr>  
<tr>  
<td>

**Processed data**

</td>  
<td>

</td>  
<td>

</td>  
<td>

</td>  
<td>

</td> </tr>  
<tr>  
<td>

**Metadata**

</td>  
<td>

NQR sequence parameters, temperature, coil specifications, sample volume,
date, time, experimental setup (e.g. temperature sweeps)

</td>  
<td>

ASCII, pdf

</td>  
<td>

</td>  
<td>

</td> </tr>  
<tr>  
<td>

**Type of open access data**

</td>  
<td>

Preprocessed raw spectra

</td> </tr>  
<tr>  
<td>

**Open access**

</td>  
<td>

YES

</td> </tr> </table>  
<table>  
<tr>  
<th>

**Name/party**

</th>  
<th>

**MR images /TUG**

</th> </tr>  
<tr>  
<td>

**Description**

</td>  
<td>

The final tests for contrast generation in MR images is performed with a
Siemens Skyra 3T scanner which includes a B0 insert. The samples will be
phantoms and cell cultures.

</td> </tr>  
<tr>  
<td>

</td>  
<td>

</td>  
<td>

**format**

</td>  
<td>

**size per set**

</td>  
<td>

**# sets**

</td> </tr>  
<tr>  
<td>

**Raw data**

</td>  
<td>

Proprietary format

</td>  
<td>

Siemens

</td>  
<td>

\-

</td>  
<td>

≤100

</td> </tr>  
<tr>  
<td>

**Processed data**

</td>  
<td>

Reconstructed images, available in a standardised medical image file format

</td>  
<td>

DICOM

</td>  
<td>

100MB

</td>  
<td>

≤100

</td> </tr>  
<tr>  
<td>

**Metadata**

</td>  
<td>

Metadata:

experimental setup

</td>  
<td>

DICOM, ASCII, pdf

</td>  
<td>

</td>  
<td>

</td> </tr>  
<tr>  
<td>

**Type of open access data**

</td>  
<td>

DICOM images

</td> </tr>  
<tr>  
<td>

**Open access**

</td>  
<td>

YES

</td> </tr> </table>  
<table>  
<tr>  
<th>

**Name/party**

</th>  
<th>

**DLS and zeta potential /UM**

</th> </tr>  
<tr>  
<td>

**Description**

</td>  
<td>

DLS and Zeta-potential analysis is carried out for each synthesised
nanoparticle. By doing so the hydrodynamic diameter and the surface charge of
the particles are determined

</td> </tr>  
<tr>  
<td>

</td>  
<td>

</td>  
<td>

**format**

</td>  
<td>

**size per set**

</td>  
<td>

**# sets**

</td> </tr>  
<tr>  
<td>

**Raw data**

</td>  
<td>

Particle size and zeta potential values. Temperature, electrophoretic mobility
and conductivity values are generated in a proprietary format

</td>  
<td>

.csv

</td>  
<td>

≤ 1MB

</td>  
<td>

≤100

</td> </tr>  
<tr>  
<td>

**Processed data**

</td>  
<td>

Excel tables and graphs are generated

</td>  
<td>

.xlsx

</td>  
<td>

≤ 1MB

</td>  
<td>

</td> </tr>  
<tr>  
<td>

**Metadata**

</td>  
<td>

experimental setup

</td>  
<td>

ASCII, pdf

</td>  
<td>

</td>  
<td>

</td> </tr>  
<tr>  
<td>

**Type of open access data**

</td>  
<td>

Data should be presented in a compact form as a set of different measurements
in an excel document. The single spectrum data contains less information.

</td> </tr>  
<tr>  
<td>

**Open access**

</td>  
<td>

YES

</td> </tr> </table>  
<table>  
<tr>  
<th>

**Name/party**

</th>  
<th>

**TEM and SEM images /UM**

</th> </tr>  
<tr>  
<td>

**Description**

</td>  
<td>

All promising nanoparticles will be characterised by TEM and SEM. The shape
and size of the particles is determined in this case.

</td> </tr>  
<tr>  
<td>

</td>  
<td>

</td>  
<td>

**format**

</td>  
<td>

**size per set**

</td>  
<td>

**# sets**

</td> </tr>  
<tr>  
<td>

**Raw data**

</td>  
<td>

Greyscale map

</td>  
<td>

.jpeg, .jpg, .tif

</td>  
<td>

≤ 5MB

</td>  
<td>

≤100

</td> </tr>  
<tr>  
<td>

**Processed data**

</td>  
<td>

</td>  
<td>

</td>  
<td>

</td>  
<td>

</td> </tr>  
<tr>  
<td>

**Metadata**

</td>  
<td>

experimental setup

</td>  
<td>

ASCII, pdf

</td>  
<td>

</td>  
<td>

</td> </tr>  
<tr>  
<td>

**Type of open access data**

</td>  
<td>

raw images, metadata

</td> </tr>  
<tr>  
<td>

**Open access**

</td>  
<td>

YES

</td> </tr> </table>  
<table>  
<tr>  
<th>

**Name/party**

</th>  
<th>

**ATR-FTIR /UM**

</th> </tr>  
<tr>  
<td>

**Description**

</td>  
<td>

All promising nanoparticles will be characterised by ATR-FTIR.

</td> </tr>  
<tr>  
<td>

</td>  
<td>

</td>  
<td>

**format**

</td>  
<td>

**size per set**

</td>  
<td>

**# sets**

</td> </tr>  
<tr>  
<td>

**Raw data**

</td>  
<td>

Absorption or transmittance spectra in a proprietary format.

</td>  
<td>

.spv

</td>  
<td>

≤ 1MB

</td>  
<td>

≤100

</td> </tr>  
<tr>  
<td>

**Processed data**

</td>  
<td>

The spectra are generated in excel or origin lab

</td>  
<td>

.xlsx

.ojp

</td>  
<td>

</td>  
<td>

</td> </tr>  
<tr>  
<td>

**Metadata**

</td>  
<td>

experimental setup

</td>  
<td>

ASCII, pdf

</td>  
<td>

</td>  
<td>

</td> </tr>  
<tr>  
<td>

**Type of open access data**

</td>  
<td>

Data should be presented in a compact form as a set of different measurements
in an excel document. The single spectrum data contains less information.

</td> </tr>  
<tr>  
<td>

**Open access**

</td>  
<td>

YES

</td> </tr> </table>  
<table>  
<tr>  
<th>

**Name/party**

</th>  
<th>

**QCM-D /UM**

</th> </tr>  
<tr>  
<td>

**Description**

</td>  
<td>

The real-time interaction of the particles in fluids with solid surfaces can
be observed by frequency changes of an oscillating quartz crystal.

</td> </tr>  
<tr>  
<td>

</td>  
<td>

</td>  
<td>

**format**

</td>  
<td>

**size per set**

</td>  
<td>

**# sets**

</td> </tr>  
<tr>  
<td>

**Raw data**

</td>  
<td>

Frequency changes of the oscillating crystal upon reaction with the particles
are recorded in a proprietary format.

</td>  
<td>

.qsd,

.qtd

</td>  
<td>

≤ 5MB

≤0.5MB

</td>  
<td>

≤50

</td> </tr>  
<tr>  
<td>

**Processed data**

</td>  
<td>

The data is processed in origin lab or excel

</td>  
<td>

.xlsx

.ojp

</td>  
<td>

≤ 5MB

</td>  
<td>

</td> </tr>  
<tr>  
<td>

**Metadata**

</td>  
<td>

experimental setup

</td>  
<td>

ASCII, pdf

</td>  
<td>

</td>  
<td>

</td> </tr>  
<tr>  
<td>

**Type of open access data**

</td>  
<td>

Raw data, processed data and metadata

</td>  
<td>

</td>  
<td>

</td>  
<td>

</td> </tr>  
<tr>  
<td>

**Open access**

</td>  
<td>

YES

</td>  
<td>

</td>  
<td>

</td>  
<td>

</td> </tr> </table>  
<table>  
<tr>  
<th>

**Name/party**

</th>  
<th>

**TGA DSC /UM**

</th> </tr>  
<tr>  
<td>

**Description**

</td>  
<td>

Changes in physical and chemical properties of the particles in dependence of
temperature are determined.

</td> </tr>  
<tr>  
<td>

</td>  
<td>

</td>  
<td>

**format**

</td>  
<td>

**size per set**

</td>  
<td>

**# sets**

</td> </tr>  
<tr>  
<td>

**Raw data**

</td>  
<td>

The mass loss and the heat capacity in dependence of temperature and time are
recorded proprietary format.

</td>  
<td>

ASCII

</td>  
<td>

≤0.5MB

</td>  
<td>

≤50

</td> </tr>  
<tr>  
<td>

**Processed data**

</td>  
<td>

The processed data is generated in excel or in origin lab.

</td>  
<td>

.xlsx

.ojp

</td>  
<td>

</td>  
<td>

</td> </tr>  
<tr>  
<td>

**Metadata**

</td>  
<td>

experimental setup

</td>  
<td>

ASCII, pdf

</td>  
<td>

</td>  
<td>

</td> </tr>  
<tr>  
<td>

**Type of open access data**

</td>  
<td>

Raw data, processed data and metadata

</td> </tr>  
<tr>  
<td>

**Open access**

</td>  
<td>

YES

</td> </tr> </table>  
<table>  
<tr>  
<th>

**Name/party**

</th>  
<th>

**Other measurements, process yields etc /UM**

</th>  
<th>

</th> </tr>  
<tr>  
<td>

**Description**

</td>  
<td>

Calculations regarding the nanoparticles synthesis yield will be produced

</td>  
<td>

</td> </tr>  
<tr>  
<td>

</td>  
<td>

</td>  
<td>

**format**

</td>  
<td>

**size per set**

</td>  
<td>

**# sets**

</td> </tr>  
<tr>  
<td>

**Raw data**

</td>  
<td>

Simple calculations in excel

</td>  
<td>

.xlsx

</td>  
<td>

≤0.5MB

</td>  
<td>

≤100

</td> </tr>  
<tr>  
<td>

**Processed data**

</td>  
<td>

</td>  
<td>

</td>  
<td>

</td>  
<td>

</td> </tr>  
<tr>  
<td>

**Metadata**

</td>  
<td>

No metadata

</td>  
<td>

</td>  
<td>

</td>  
<td>

</td> </tr>  
<tr>  
<td>

**Type of open access data**

</td>  
<td>

Raw data

</td>  
<td>

</td> </tr>  
<tr>  
<td>

**Open access**

</td>  
<td>

YES

</td>  
<td>

</td> </tr> </table>  
<table>  
<tr>  
<th>

**Name/party**

</th>  
<th>

**Data from fluorescence, luminescence and absorbance readers /MUG**

</th>  
<th>

</th> </tr>  
<tr>  
<td>

**Description**

</td>  
<td>

</td>  
<td>

</td> </tr>  
<tr>  
<td>

</td>  
<td>

</td>  
<td>

**format**

</td>  
<td>

**size per set**

</td>  
<td>

**# sets**

</td> </tr>  
<tr>  
<td>

**Raw data**

</td>  
<td>

</td>  
<td>

.xls

</td>  
<td>

<100kB

</td>  
<td>

<100

</td> </tr>  
<tr>  
<td>

**Processed data**

</td>  
<td>

</td>  
<td>

</td>  
<td>

</td>  
<td>

</td> </tr>  
<tr>  
<td>

**Metadata**

</td>  
<td>

experimental setup

</td>  
<td>

ASCII, pdf

</td>  
<td>

</td>  
<td>

</td> </tr>  
<tr>  
<td>

**Type of open**

</td>  
<td>

</td>  
<td>

</td> </tr>  
<tr>  
<td>

**access data**

</td>  
<td>

</td> </tr>  
<tr>  
<td>

**Open access**

</td>  
<td>

NO

</td> </tr> </table>  
<table>  
<tr>  
<th>

**Name/party**

</th>  
<th>

**Flocel TEER /MUG**

</th>  
<th>

</th>  
<th>

</th>  
<th>

</th> </tr>  
<tr>  
<td>

**Description**

</td>  
<td>

</td>  
<td>

</td>  
<td>

</td>  
<td>

</td> </tr>  
<tr>  
<td>

</td>  
<td>

</td>  
<td>

**format**

</td>  
<td>

**size per set**

</td>  
<td>

**# sets**

</td> </tr>  
<tr>  
<td>

**Raw data**

</td>  
<td>

</td>  
<td>

.xls

</td>  
<td>

<50kB

</td>  
<td>

30

</td> </tr>  
<tr>  
<td>

**Processed data**

</td>  
<td>

</td>  
<td>

</td>  
<td>

</td>  
<td>

</td> </tr>  
<tr>  
<td>

**Metadata**

</td>  
<td>

experimental setup

</td>  
<td>

ASCII, pdf

</td>  
<td>

</td>  
<td>

</td> </tr>  
<tr>  
<td>

**Open access**

</td>  
<td>

NO

</td>  
<td>

</td>  
<td>

</td>  
<td>

</td> </tr> </table>  
<table>  
<tr>  
<th>

**Name/party**

</th>  
<th>

**Microscopic Images /MUG**

</th>  
<th>

</th>  
<th>

</th>  
<th>

</th> </tr>  
<tr>  
<td>

**Description**

</td>  
<td>

LSM meta data, other microscopical data

</td>  
<td>

</td>  
<td>

</td>  
<td>

</td> </tr>  
<tr>  
<td>

</td>  
<td>

</td>  
<td>

**format**

</td>  
<td>

**size per set**

</td>  
<td>

**# sets**

</td> </tr>  
<tr>  
<td>

**Raw data**

</td>  
<td>

Proprietary format

</td>  
<td>

</td>  
<td>

</td>  
<td>

<100

</td> </tr>  
<tr>  
<td>

**Processed data**

</td>  
<td>

</td>  
<td>

.jpg,

.tiff

</td>  
<td>

1-5 MB

</td>  
<td>

</td> </tr>  
<tr>  
<td>

**Metadata**

</td>  
<td>

experimental setup

</td>  
<td>

ASCII, pdf

</td>  
<td>

</td>  
<td>

</td> </tr>  
<tr>  
<td>

**Open access**

</td>  
<td>

NO

</td>  
<td>

</td>  
<td>

</td>  
<td>

</td> </tr> </table>  
<table>  
<tr>  
<th>

**Name/party**

</th>  
<th>

**NMR relaxation data /UWM**

</th> </tr>  
<tr>  
<td>

**Description**

</td>  
<td>

1  H spin-lattice relaxation dispersion profiles are recorded. The relaxation
rates are determined by analysing time dependencies of  1  H magnetization.
The data will be available in the form of *.org (Origin) files and *.pdf files

</td> </tr>  
<tr>  
<td>

</td>  
<td>

</td>  
<td>

**format**

</td>  
<td>

**size per set**

</td>  
<td>

**# sets**

</td> </tr>  
<tr>  
<td>

**Raw data**

</td>  
<td>

Series of magnetization values versus time for different resonance frequencies

</td>  
<td>

ASCII

</td>  
<td>

≤ 1MB

</td>  
<td>

≤300

</td> </tr>  
<tr>  
<td>

**Processed data**

</td>  
<td>

1  H magnetization versus time,  1  H spin-lattice relaxation rates versus
frequency

</td>  
<td>

ASCII pdf org

</td>  
<td>

</td>  
<td>

</td> </tr>  
<tr>  
<td>

**Metadata**

</td>  
<td>

Experimental settings and sample specification

</td>  
<td>

ASCII pdf

</td>  
<td>

</td>  
<td>

</td> </tr>  
<tr>  
<td>

**Type of open access data**

</td>  
<td>

Processed data

</td> </tr>  
<tr>  
<td>

**Open access**

</td>  
<td>

YES

</td> </tr> </table>