Find research datasets worth reusing

opencc-by-4.0Dec 2020View details →

Trinity assembly of Downy mildew of Grapevine lesion samples DMG-C

De novo Trinity assembly from RNAseq

opencc-by-4.0Nov 2018View details →

Sample audio data for JSEALS article "Tonal variation in Pyen"

Audio data samples corresponding to sections 1.1, 5.1 and 6 in the JSEALS article "Tonal variation in Pyen."

Fig. 1. Sampling sites along the Costa Rica margin and exemplary habitat pictures. A in Cutting the ribbon: bathyal Nemertea from seeps along the Costa Rica margin, with descriptions of 2 new genera and 9 new species

Fig. 1. Sampling sites along the Costa Rica margin and exemplary habitat pictures. A. Map of the seven sampling sites along the Costa Rica margin: Cocos Canyon (CC), Jaco Scar (JS), Mound 11 (M11), Mound 12 (M12), Mound Jaguar (MJ), Parrita Seep (PS), and Quepos Plateau (QP). B. Aggregation of the vestamentiferan Escarpia spicata Jones, 1985. C. Nemerteans of the species Chernyshevia escarpiaphila sp. nov. (arrows) found on Escarpia spicata. Photo credit: ROV SuBastian/Schmidt Ocean Institute.

opencc-by-4.0Dec 2021View details →

Spectroscopic ellipsometry mapping of PAAO:DLC:Ag (AJ-8-03-31-DLCAg sample)

Spectroscopic ellipsometry measurement data obtained from the porous anodized aluminum oxide (PAAO) covered with hydrogenated amorphous diamond-like carbon and silver (DLC:Ag) nanocomposite. The sample was made by 2 processes: (1) anodization of aluminum polycrystal in 0.3 mol/L oxalic acid at 40 V for 5 minutes and 4 seconds and then (2) depositing DLC:Ag employing reactive unbalanced magnetron sputtering in direct current mode using silver target (80 sccm argon gas flow, 5.4 sccm C2H2 gas flow, 405 V voltage, 0.09-0.10 A current, 7·10-3 mbar work pressure, 2 minutes 32 seconds process duration). The measurements were carried out at 20 × 20 locations covering all of the sample surface (approximately 4.8 × 4.8 mm2). The coordinates of each of 400 locations are available in "mapping_points.csv" file. All measurement data is also included in a single "AJ-8-03-31-DLCAg Ellipsometry Mapping Measurements.rar" file. Ellipsometer: rotating compensator GES5-E (Semilab). Light source: 75 W xenon short arc lamp with 185-2000 nm wavelength spectrum. Detector: UV-Vis CCD with 0.8 nm resolution. Spectral range: approximately 230-960 nm. Light incidence angles: 55°, 60°, 65°, 70°, 75°. Light beam size: microspot (365 × 470 μm2 at 75° angle of incidence). The same sample was also measured using the same spectroscopic ellipsometry method before being covered with DLC:Ag. The data can be found here: <a href="https://doi.org/10.5281/zenodo.7056065">https://doi.org/10.5281/zenodo.7056065</a>

opencc-by-4.0Dec 2021View details →

Spectroscopic ellipsometry mapping of PAAO:DLC:Ag (AJ-7-03-31-DLCAg sample)

Spectroscopic ellipsometry measurement data obtained from the porous anodized aluminum oxide (PAAO) covered with hydrogenated amorphous diamond-like carbon and silver (DLC:Ag) nanocomposite. The sample was made by 2 processes: (1) anodization of aluminum polycrystal in 0.3 mol/L oxalic acid at 40 V for 4 minutes and 35 seconds and then (2) depositing DLC:Ag employing reactive unbalanced magnetron sputtering in direct current mode using silver target (80 sccm argon gas flow, 5.4 sccm C2H2 gas flow, 405 V voltage, 0.09-0.10 A current, 7·10-3 mbar work pressure, 2 minutes 32 seconds process duration). The measurements were carried out at 20 × 20 locations covering all of the sample surface (approximately 4.8 × 4.8 mm2). The coordinates of each of 400 locations are available in "mapping_points.csv" file. All measurement data is also included in a single "AJ-7-03-31-DLCAg Ellipsometry Mapping Measurements.rar" file. Ellipsometer: rotating compensator GES5-E (Semilab). Light source: 75 W xenon short arc lamp with 185-2000 nm wavelength spectrum. Detector: UV-Vis CCD with 0.8 nm resolution. Spectral range: approximately 230-960 nm. Light incidence angles: 55°, 60°, 65°, 70°, 75°. Light beam size: microspot (365 × 470 μm2 at 75° angle of incidence). The same sample was also measured using the same spectroscopic ellipsometry method before being covered with DLC:Ag. The data can be found here: <a href="https://doi.org/10.5281/zenodo.7053393">https://doi.org/10.5281/zenodo.7053393</a>

opencc-byMar 2022View details →

samples data of publications related to halal meat

this is the dataset of publications downloaded from Scopus and web of science used for bibliometric analysis

CONCATENATING sample files to prepare for multiple sequence alignment in Galaxy

These are a few sample files to practice the correct way to concatenate files with the reference strain at the top, in order to continue with the next step, which is doing a multiple sequence alignment.

MicroBooNE BNB Electron Neutrino Overlay Sample (With Wire Info)

MicroBooNE samples are provided for collaborative development in two different formats: HDF5, targeting the broadest audience, and artroot, targeting users that are familiar with the software infrastructure of Fermilab neutrino experiments and more in general of HEP experiments. The HDF5 files are stored on Zenodo, together with a list of artroot files accessible with xrootd. This sample includes simulated interactions of neutrinos from the Booster Neutrino Beam (BNB), overlaid on top of cosmic ray data.  The sample is restricted to charged-current electron neutrino interactions within the argon active volume of the time projection chamber. The HDF5 files in this sample include the information at the wire waveform level (after deconvolution and finding of regions of interest). As this information significantly increases the file size, this sample contains about 20% of the events of the corresponding sample without wire information. More documentation, including detailed description of content, recipes, and example usage, at <a href="https://github.com/uboone/OpenSamples/tree/v01">https://github.com/uboone/OpenSamples</a>. Suggested text for acknowledgment is the following: We acknowledge the MicroBooNE Collaboration for making publicly available the data sets [data set DOIs] employed in this work. These data sets consist of simulated neutrino interactions from the Booster Neutrino Beamline overlaid on top of cosmic data collected with the MicroBooNE detector [2017 JINST 12 P02017]. In addition, we request that software products resulting from the usage of the datasets are also made publicly available.

MicroBooNE BNB Inclusive Overlay Sample (With Wire Info)

MicroBooNE samples are provided for collaborative development in two different formats: HDF5, targeting the broadest audience, and artroot, targeting users that are familiar with the software infrastructure of Fermilab neutrino experiments and more in general of HEP experiments. The HDF5 files are stored on Zenodo, together with a list of artroot files accessible with xrootd. This sample includes simulated interactions of neutrinos from the Booster Neutrino Beam (BNB), overlaid on top of cosmic ray data. The sample is inclusive, i.e. it includes all types of neutrinos and interactions, with relative abundance matching our nominal flux and cross section models. Interactions are simulated in in the whole cryostat volume. The HDF5 files in this sample include the information at the wire waveform level (after deconvolution and finding of regions of interest). As this information significantly increases the file size, this sample contains about 17% of the events of the corresponding sample without wire information. More documentation, including detailed description of content, recipes, and example usage, at <a href="https://github.com/uboone/OpenSamples/tree/v01">https://github.com/uboone/OpenSamples</a>. Suggested text for acknowledgment is the following: We acknowledge the MicroBooNE Collaboration for making publicly available the data sets [data set DOIs] employed in this work. These data sets consist of simulated neutrino interactions from the Booster Neutrino Beamline overlaid on top of cosmic data collected with the MicroBooNE detector [2017 JINST 12 P02017]. In addition, we request that software products resulting from the usage of the datasets are also made publicly available.

opencc-by-4.0Aug 2022View details →

Sampling Rare Event Energy Landscapes via Birth-Death Augmented Dynamics

Archive with data supporting the paper "Sampling Rare Event Energy Landscapes via Birth-Death Augmented Dynamics" and the related PhD thesis by B. Pampel

MicroBooNE BNB Electron Neutrino Overlay Sample (No Wire Info)

MicroBooNE samples are provided for collaborative development in two different formats: HDF5, targeting the broadest audience, and artroot, targeting users that are familiar with the software infrastructure of Fermilab neutrino experiments and more in general of HEP experiments. The HDF5 files are stored on Zenodo, together with a list of artroot files accessible with xrootd. This sample includes simulated interactions of neutrinos from the Booster Neutrino Beam (BNB), overlaid on top of cosmic ray data.  The sample is restricted to charged-current electron neutrino interactions within the argon active volume of the time projection chamber. The HDF5 files in this sample do not include the information at the wire waveform level ("NoWire" label), allowing for larger number of events to be included in the data set. More documentation, including detailed description of content, recipes, and example usage, at <a href="https://github.com/uboone/OpenSamples/tree/v01">https://github.com/uboone/OpenSamples</a>. Suggested text for acknowledgment is the following: We acknowledge the MicroBooNE Collaboration for making publicly available the data sets [data set DOIs] employed in this work. These data sets consist of simulated neutrino interactions from the Booster Neutrino Beamline overlaid on top of cosmic data collected with the MicroBooNE detector [2017 JINST 12 P02017]. In addition, we request that software products resulting from the usage of the datasets are also made publicly available.

Morphological measurements of coccoliths from surface samples of South China Sea

The dataset compiles morphological measurements of coccoliths (Gephyrocapsa spp. and Emiliania huxleyi, >2µm) from surface samples of the South China Sea retrieved at different depths of the basin during the R/V Sonne cruises (SO-95); and of Gephyrocapsa spp. from one sample from the Western Equatorial Pacific (ODP 807A, -2H-2W, 57-59 cm) used in a dissolution experiment. The columns include station names, Longitude, Latitude, Depth (m), how much Calgon was added into sediment suspension (in the dissolution experiment), number of coccoliths measured per sample, mean ks shape factor, thickness, length, volume, mass, and standard deviation of mean ks/mean ks.

How to collect dried blood spot samples for hepatitis C testing (Spanish: Cómo obtener muestras de gota de sangre seca para el cribado de la hepatitis C)

Short video in Spanish describing how to collect, store and ship to the laboratory, dried blood spot (DBS) samples for hepatitis C virus (HCV) testing. With proper training of the staff involved, DBS samples can be collected outside the healthcare setting, thus facilitating access to diagnosis of hepatitis C by the most vulnerable populations who attend different centers in the community. With our experience in detecting HCV RNA from DBS samples since 2015, we have produced an explanatory video and a booklet with step-by-step instructions on how to obtain good quality DBS samples for laboratory HCV testing. DBS samples not only allow us to improve the diagnosis rate of viremic HCV infection, but also to monitor the elimination of hepatitis C. Within the following website you can see the publications of  different studies that we have carried out using DBS, which have also helped us to characterize the HCV epidemic at the local level. https://www.researchgate.net/project/Development-and-assessment-of-alternative-testing-strategies-for-the-detection-of-active-hepatitis-C-virus-infection-among-vulnerable-groups-at-risk-and-micro-elimination/update/61011c48647f3906fc8c31b8

opencc-by-4.0Aug 2022View details →

Figure 3. Traps for fruit fly sampling. A–B in The dacine fruit flies (Diptera: Tephritidae: Dacini) of Oceania

Figure 3. Traps for fruit fly sampling. A–B) Modified Steiner trap. C–H) Fruit fly trap model designed by the author.

Synchrotron X-ray Diffraction Results - Measuring Bulk Crystallographic Texture from Differently-Orientated Ti-6Al-4V Samples

A dataset of crystallographic texture results for both α (hexagonal close packed, hcp) and β (body-centred cubic, bcc) phases, measured from six differently orientated Ti-6Al-4V (Ti-64) samples, using two different analysis techniques of synchrotron X-ray diffraction (SXRD) data. The texture results are produced from two refinement methods for fitting intensities from SXRD pattern images; an established Rietveld refinement method using the software package <a href="http://maud.radiographema.eu">MAUD (Materials Analysis Using Diffraction)</a> and a new Fourier-based peak fitting method from the <a href="https://pypi.org/project/continuous-peak-fit/">Continuous-Peak-Fit</a> Python package. The texture results were also compared with electron backscatter diffraction (EBSD) measurements from a single sample orientation. The SXRD and EBSD textures were analysed using <a href="https://mtex-toolbox.github.io">MTEX</a> to enable a direct comparison of the pole figures, orientation distribution functions (ODFs) and numerical values for the texture indices. The SXRD texture is calculated from each of the six different sample orientations, a combination of the six sample orientations, and in a batch processing method for calculating spatially-resolved texture variation from 387 individual X-Y stage-scan SXRD measurements across one of the samples. The texture variation measured using stage-scan SXRD is directly compared with EBSD, by splitting up the EBSD map into an equivalent grid matrix using an automated script in MTEX. Material The Ti-64 material used in this study was pre-rolled to 87.5% reduction at 915ºC and then air-cooled to develop a characteristic texture. The run numbers from the experiment reference six different sample orientations, according to their alignment with the original rolling directions (RD – rolling direction, TD – transverse direction, ND – normal direction), and alignment with the horizontal (X) and vertical (Y) axes of the synchrotron detector. MAUD / MTEX Analysis The α and β phase texture for each of the six different sample orientations was calculated using MAUD, included in this <a href="https://doi.org/10.5281/zenodo.7311323">analysis dataset</a>, which produced ODFs in the form of text files. The texture files were analysed in MTEX using scripts from the <a href="https://github.com/LightForm-group/MAUD-batch-analysis">MAUD-batch-analysis</a> package, for plotting of the pole figures and ODF slices, along with calculation of pole figure maxima, ODF maxima and texture indices. The same procedure was used to analyse texture from all six orientations together; using MTEX to fit a single ODF text file. And a series of ODF text files were analysed to calculate texture variation from an X-Y stage scan of Sample 1 (103845). Two different ODF resolutions of 5º and 15º were initially used to fit the texture in MAUD, with the same ODF resolution applied to analyse the data in MTEX. However, an ODF resolution of 15° was found to reproduce the most reasonable texture strength intensity values, with the closest match to the EBSD results. Continuous-Peak-Fit / MTEX Analysis The lattice plane intensities for 21 α and 4 β phase peaks were extracted from the Continuous-Peak-Fit analysis, included in this <a href="https://doi.org/10.5281/zenodo.7311323">analysis dataset</a>, and saved as text files in the form of pole figures. The lattice intensity text files were analysed in MTEX using scripts from the <a href="https://github.com/LightForm-group/continuous-peak-fit-analysis">continuous-peak-fit-analysis</a> package, to plot pole figures and ODF slices, and to calculate pole figure maxima, ODF maxima and texture indices. The same procedure was used to analyse texture from all six orientations together, along with combinations of different sample orientations, by fitting combined lattice intensity text files in MTEX. And a series of lattice intensity text files were analysed to calculate texture variation from the X-Y stage scan of Sample 1 (103845). Lattice plane intensity distributions which had been normalised to a Ti-64 powder sample measurement were also analysed, to see if this had any effect on the texture intensities. Nevertheless, the powder-corrected texture was found to exactly match the raw intensity measurements. Three different ODF resolutions of 5º, 10º and 15º were initially used to fit the texture in MTEX. However, a kernel half-width of 10° was found to produce optimal data fitting, for highly accurate texture strength intensity values. EBSD / MTEX Analysis The indexed α-phase EBSD measurements were recorded over an area of around 100 mm2, with an equivalent sized map of β-phase orientations reconstructed from the data. Both the α and the β phase maps were analysed using the <a href="https://github.com/LightForm-group/MTEX-texture-block-analysis">MTEX-texture-block-analysis</a> package, which was used to split up the map into 387 individual square sections, with equivalent dimensions to the SXRD stage-scan measurement grid. For each of the 387 sections, MTEX was used to plot pole figures and ODF slices, and to calculate pole figure maxima, ODF maxima and texture indices. Texture Variation Comparison The texture values calculated from the SXRD stage scan measurements, with the two analysis methods, were used for a direct comparison with the texture variation recorded using EBSD. This analysis was recorded in the <a href="https://github.com/LightForm-group/texture-strength-comparison">texture-strength-comparison</a> package. The results show differences in texture variation across the piece depending on the method used to analyse the SXRD data. The Continuous-Peak-Fit analysis method shows the closest match with EBSD, producing clear texture intensity spikes for the different α and β lattice plane pole figure intensities, ODF maxima and texture indices, at the centre of the piece. The results were also used to develop SXRD maps showing the distribution of texture intensities across the sample. Metadata An accompanying YAML text file contains associated processing metadata for the SXRD and EBSD analyses, recording information about the different packages used to process the data, along with details about the different files contained within this results dataset.

Ibuprofen - Sample 3 NanED Round Robin, Data: ESR4 & ESR5

Ibuprofen The following submission contains the data collection and processing of datasets for the sample ibuprofen under the NanEd round-robin project.  Many crystals were identified, and data were collected using the continuous rotation data acquisition technique, out of which two crystals (Crystal 1 & Crystal 2), which were found to complement each other and improve the completeness of the reflection data, were selected.  All the data sets were processed with PETS2 software. The table below summarizes the data collection parameters for the data sets. The following data is also included as a word file in the data folder. <table> <tbody> <tr> <td> General information: </td> <td>   </td> </tr> <tr> <td> Project </td> <td> NanED (www.naned.eu) </td> </tr> <tr> <td> ESR Project </td> <td> ESR4 & ESR5 - Round Robin </td> </tr> <tr> <td> Project Label </td> <td> RR1 </td> </tr> <tr> <td> Sample Label </td> <td> RR1-S3_PRAHA </td> </tr> <tr> <td> Data set Label </td> <td> RR1-S3_PRAHA-CROT </td> </tr> <tr> <td>   </td> <td>   </td> </tr> <tr> <td> Instrumental: </td> <td>   </td> </tr> <tr> <td> Instrument </td> <td> Transmission electron microscope FEI Tecnai G2 20 </td> </tr> <tr> <td> Radiation source </td> <td> LaB6 </td> </tr> <tr> <td> Accelerating voltage </td> <td> 200 kV </td> </tr> <tr> <td> Wavelength </td> <td> 0.0251 Å </td> </tr> <tr> <td> Probe Type </td> <td> Microdiffraction </td> </tr> <tr> <td> Beam Convergence </td> <td> Parallel beam, convergence <0.1mrad </td> </tr> <tr> <td> Detector </td> <td> Hybrid pixel detector ASI Cheetah (side-mounted) </td> </tr> <tr> <td> Number of pixels in the image </td> <td> 512 x 512 </td> </tr> <tr> <td> Pixel size </td> <td> 55 µm x 55 µm </td> </tr> <tr> <td> Effective camera length </td> <td> 1200 mm </td> </tr> <tr> <td> Beam Diameter (crystal 1) </td> <td> 650 nm </td> </tr> <tr> <td> Beam Diameter (crystal 2) </td> <td> 800 nm </td> </tr> <tr> <td> Calibration constant </td> <td> 0.006895 Å-1/pixel </td> </tr> <tr> <td>   </td> <td>   </td> </tr> <tr> <td> Sample description: </td> <td>   </td> </tr> <tr> <td> Name </td> <td> Ibuprofen </td> </tr> <tr> <td> Chemical composition </td> <td> C13H18O2 </td> </tr> <tr> <td> Sample source </td> <td> Thermo Scientific (catalog. No: 333200050, lot: A0424385) </td> </tr> <tr> <td> Sample preparation </td> <td> Powder crushed on an agate mortar and deposited on an ionized Cu grid with holey C film </td> </tr> <tr> <td>   </td> <td>   </td> </tr> <tr> <td> Experimental: </td> <td>   </td> </tr> <tr> <td> Data Type </td> <td> Electron diffraction data - 3D ED </td> </tr> <tr> <td> Data collection method </td> <td> Continuous Rotation </td> </tr> <tr> <td> Temperature (K) used during data collection </td> <td> 95.15 K </td> </tr> <tr> <td> Number of crystals contributing to the data set </td> <td> 2 </td> </tr> <tr> <td> Number of experimental frames: Crystal 1 </td> <td> 340 </td> </tr> <tr> <td> tilt range, tilt step, tilt per frame </td> <td> -55° to +30°, 0.25°, 0.25° </td> </tr> <tr> <td> Exposure time per frame: Crystal 1 </td> <td> 283 ms </td> </tr> <tr> <td> Number of experimental frames: Crystal 2 </td> <td> 360 </td> </tr> <tr> <td> tilt range, tilt step, tilt per frame </td> <td> -50° to +40°, 0.25°, 0.25° </td> </tr> <tr> <td> Exposure time per frame: Crystal 2 </td> <td> 283 ms </td> </tr> <tr> <td>   </td> <td>   </td> </tr> <tr> <td> Software: </td> <td>   </td> </tr> <tr> <td> Software used for the data collection </td> <td> RATS software </td> </tr> <tr> <td> Software used for processing </td> <td> PETS2 (ver 2.2.20220701.0941) </td> </tr> <tr> <td>   </td> <td>   </td> </tr> <tr> <td> Authorship and bibliography </td> <td>   </td> </tr> <tr> <td> Author(s) of the data </td> <td> Hrushikesh Chintakindi (ESR4) & Ashwin Suresh (ESR5) </td> </tr> <tr> <td> Related data </td> <td>   </td> </tr> <tr> <td> Publication(s) </td> <td>   </td> </tr> <tr> <td>   </td> <td>   </td> </tr> <tr> <td> Files and data formats </td> <td>   </td> </tr> <tr> <td> Image folder </td> <td> dp-crot : Folder containing images of the diffraction pattern from each frame. </td> </tr> <tr> <td> Image format </td> <td> tiff_16bit </td> </tr> <tr> <td> Additional folders/files </td> <td> crystal_image : image of the crystal </td> </tr> <tr> <td>   </td> <td> S3_21-crot-025_petsdata: Log files of PETS2 processing for crystal 1 </td> </tr> <tr> <td>   </td> <td> S3_21-crot-025.pts2:_input file for the program PETS2 used for processing  the data for crystal 1 </td> </tr> <tr> <td>   </td> <td> S3_C7_4-crot-025_petsdata: Log files of PETS2 processing for crystal 2 </td> </tr> <tr> <td>   </td> <td> S3_C7_4-crot-025.pts2:_input file for the program PETS2 used for processing  the data for crystal 2 </td> </tr> </tbody> </table> Notes: The software, RATS used for data collection is an in-house software developed in FZU, Praha. *Project Label "RR1" stands for Round Robin 1 *Data set label "RR1-S3_PRAHA-CROT" stands for Round Robin 1 sample 3 from Prague,  data collection method Continuous Rotation. *The additional files can be found in the folder: data_collection&processing

Spectral-index maps for the MeerKAT-2019 subset of the G4Jy Sample

Spectral-index maps for sources in the MeerKAT-2019 subset of the G4Jy Sample. The component MeerKAT spectral-index maps can be accessed as both .png and .fits files via the SARAO archive: https://archive-gw-1.kat.ac.za/public/repository/10.48479/wyab-t838/index.html . See Sejake et al. (2022) for further details.

opencc-zeroNov 2022View details →

dryad40/100

Data for: Effects of long-term ethanol storage of blood samples on the estimation of telomere length

Telomeres, DNA structures located at the end of eukaryotic chromosomes, shorten with each cellular cycle. The shortening rate is affected by factors associated with stress, and, thus telomere length has been used as a biomarker of ageing, disease, and different life history trade-offs. Telomere research has received much attention in the last decades; however, there is still a wide variety of factors that may affect telomere measurements and to date no study has thoroughly evaluated the possible long-term effect of a storage medium on telomere measurements. In this study we evaluated the long-term effects of ethanol on relative telomere length (RTL) measured by qPCR, using blood samples of magpies collected over twelve years and stored in absolute ethanol at room temperature. We firstly tested whether storage time had an effect on RTL and secondly we modelled the effect of time of storage (from 1 to 12 years) in differences in RTL from DNA extracted twice in consecutive years from the same blood sample. We also tested whether individual amplification efficiencies were influenced by storage time, and whether this could affect our results. Our study provides evidence of an effect of storage time on telomere length measurements. Importantly, this effect shows a pattern of decreasing loss of telomere sequence with storage time that stops after approximate 4 years of storage, which suggests that telomeres may degrade in blood samples stored in ethanol. Our method to quantify the effect of storage time could be used to evaluate other storage buffers and methods. Our results highlight the need to evaluate the long-term effects of storage on telomere measurements, particularly in long-term studies.

Trap parameters for the fast OSL signal component obtained through analytical separation for various quartz samples

Dataset for article Trap parameters for the fast OSL signal component obtained through analytical separation for various quartz samples

Video Tutorial for the FAIR SAMPLES Template

This video tutorial with audio contains FAIR WISH expert demonstrations and explanations for using the FAIR SAMPLES Template” of the project FAIR Workflows to establish IGSN for Samples in the Helmholtz Association (FAIR WISH) funded by the Helmholtz Metadata Collaboration (HMC). It is part of Deliverable D3 of work package 3 “Domain-specific metadata for terrestrial and aquatic Geo-Bio samples (vegetation, sediment, water, rocks)”. The ultimate goal of the video tutorial is to instruct users how to use the FAIR SAMPLES Template. The video begins with an introduction to the Helmholtz Metadata Collaboration (HMC), the FAIR WISH project, the International Generic Sample Number (IGSN) and the overall motivation for making samples uniquely identifiable and citable by IGSN assignment. The content then changes to the main part of the tutorial, focussing on the FAIR SAMPLES “Excel” Template, its content and functionalities. In this part, the speaker guides the audience on how to use the template with the different categories of metadata for a sample. <a title="The FAIR WISH project" href="https://dataservices-cms.gfz-potsdam.de/samples/the-fair-wish-project">FAIR WISH</a> is a joint project between the Helmholtz Centres GFZ, AWI and Hereon. It was was funded 2022-2023 by the Initiative and Networking Fund of the Helmholtz Association within the <a title="https://helmholtz-metadaten.de/en/projects/hmc-projects-2020" href="https://helmholtz-metadaten.de/en/projects/hmc-projects-2020" target="_blank" rel="noopener noreferrer">HMC Project Cohorte 2020</a> of the <a title="https://helmholtz-metadaten.de/en" href="https://helmholtz-metadaten.de/en" target="_blank" rel="noopener noreferrer">Helmholtz Metadata Collaboration Platform HMC</a>.