Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
159
datasets available to search
ShareScore release 0.9.0
Dataset results
159 results for “Authentication”
Figure 5 from: Salamah N, Cantika CD, Nurani LH, Guntarti A (2024) Authentication of citrus peel oils from different species and commercial products using FTIR Spectroscopy combined with chemometrics. Pharmacia 71: 1-7. https://doi.org/10.3897/pharmacia.71.e118789
Figure 5 PCA score plot of the sweet orange, lime, lemon peel oils, turpentine oil and commercial oil products A, B and C.
Figure 3 from: Salamah N, Cantika CD, Nurani LH, Guntarti A (2024) Authentication of citrus peel oils from different species and commercial products using FTIR Spectroscopy combined with chemometrics. Pharmacia 71: 1-7. https://doi.org/10.3897/pharmacia.71.e118789
Figure 3 ATR-FTIR spectra of three commercial oil products in the 3500–500 cm-1 region. (1: Product A, 2: Product B, 3: Product C).
Figure 4 from: Salamah N, Cantika CD, Nurani LH, Guntarti A (2024) Authentication of citrus peel oils from different species and commercial products using FTIR Spectroscopy combined with chemometrics. Pharmacia 71: 1-7. https://doi.org/10.3897/pharmacia.71.e118789
Figure 4 Correlation curves between the actual values (x-axis) and the predicted values (y-axis): (A) the model's calibration using the 1650–1450 cm-1 region (optimised wavenumbers), (B) internal validation and (C) external validation.
Figure 2 from: Salamah N, Cantika CD, Nurani LH, Guntarti A (2024) Authentication of citrus peel oils from different species and commercial products using FTIR Spectroscopy combined with chemometrics. Pharmacia 71: 1-7. https://doi.org/10.3897/pharmacia.71.e118789
Figure 2 ATR-FTIR spectra of sweet orange peel oil (MKJM) mixed with turpentine oil (MT) at different concentrations.
Figures 1-2 from: Bukejs A, Schmitt M (2016) Lilioceris groehni sp. n.: the first authentic species of Criocerinae (Coleoptera, Chrysomelidae) from Baltic amber. ZooKeys 618: 67-77. https://doi.org/10.3897/zookeys.618.10085
Figures 1-2 - Lilioceris groehni sp. n., holotype: 1 habitus, dorsal view 2 habitus, lateral view. Scale bars: 1 mm.
Figures 3-5 from: Bukejs A, Schmitt M (2016) Lilioceris groehni sp. n.: the first authentic species of Criocerinae (Coleoptera, Chrysomelidae) from Baltic amber. ZooKeys 618: 67-77. https://doi.org/10.3897/zookeys.618.10085
Figures 3-5 - Lilioceris groehni sp. n., holotype, microCT images: 3 habitus, fronto-lateral view, showing the pronounced arcuate constriction behind the disk of the pronotum 4 elytra, dorsal view 5 details of head and prothorax, dorsal view. Not reproduced to the same scale.
Two-factor authentication underpins the precision of piRNA-directed LINE1 DNA methylation
<p>Source data for figures 3 and Extended figure 3.</p>
Spoofing Signal Generation Algorithm using the Processing Information of a Receiver for Authentic GPS Signals
<p>Experimental results analyzation files.</p>
Food authentication goes green: Novel DART-MS approach for rapid and environmentally friendly determination of the geographical origin of hazelnuts (Corylus avellana L.)
<p>Dataset of 172 Hazelnut samples of 5 different origins measured using a DART-MS device.</p>
IMPLICATIONS OF USING AUTHENTIC MATERIALS IN CLIL CLASSROOMS
Open the record for dataset details and reuse information.
Figure 2 from: Nilsson R, Tedersoo L, Abarenkov K, Ryberg M, Kristiansson E, Hartmann M, Schoch C, Nylander J, Bergsten J, Porter T, Jumpponen A, Vaishampayan P, Ovaskainen O, Hallenberg N, Bengtsson-Palme J, Eriksson K, Larsson K, Larsson E, Kõljalg U (2012) Five simple guidelines for establishing basic authenticity and reliability of newly generated fungal ITS sequences. MycoKeys 4: 37-63. https://doi.org/10.3897/mycokeys.4.3606
Figure 2 - A reverse complementary sequence (bottom) aligned to its nine best BLAST matches, all of which were nearly identical to the query sequence based on BLAST scores, and all of which were given in the correct orientation by their respective authors.
Figure 6 from: Nilsson R, Tedersoo L, Abarenkov K, Ryberg M, Kristiansson E, Hartmann M, Schoch C, Nylander J, Bergsten J, Porter T, Jumpponen A, Vaishampayan P, Ovaskainen O, Hallenberg N, Bengtsson-Palme J, Eriksson K, Larsson K, Larsson E, Kõljalg U (2012) Five simple guidelines for establishing basic authenticity and reliability of newly generated fungal ITS sequences. MycoKeys 4: 37-63. https://doi.org/10.3897/mycokeys.4.3606
Figure 6 - An assembly chimera. The black dashed lines indicate breaks in the BLAST alignment and should always be taken to mean that manual examination is needed.
Figure 1 from: Nilsson R, Tedersoo L, Abarenkov K, Ryberg M, Kristiansson E, Hartmann M, Schoch C, Nylander J, Bergsten J, Porter T, Jumpponen A, Vaishampayan P, Ovaskainen O, Hallenberg N, Bengtsson-Palme J, Eriksson K, Larsson K, Larsson E, Kõljalg U (2012) Five simple guidelines for establishing basic authenticity and reliability of newly generated fungal ITS sequences. MycoKeys 4: 37-63. https://doi.org/10.3897/mycokeys.4.3606
Figure 1 - An ITS alignment featuring five random species each of the fungal phyla Ascomycota, Basidiomycota, Glomeromycota, Chytridiomycota, and Zygomycota s.l. The left half of the screen represents the ITS1 and the right half the 5.8S. Whereas the ITS1 alignment appears more or less chaotic, the 5.8S stands out as a very conserved element throughout these five phyla. The 5.8S starts at position 803 (indicated by the black cursor in the uppermost sequence). Seaview (Gouy et al. 2010) was used to display the alignment.
Figure 5 from: Nilsson R, Tedersoo L, Abarenkov K, Ryberg M, Kristiansson E, Hartmann M, Schoch C, Nylander J, Bergsten J, Porter T, Jumpponen A, Vaishampayan P, Ovaskainen O, Hallenberg N, Bengtsson-Palme J, Eriksson K, Larsson K, Larsson E, Kõljalg U (2012) Five simple guidelines for establishing basic authenticity and reliability of newly generated fungal ITS sequences. MycoKeys 4: 37-63. https://doi.org/10.3897/mycokeys.4.3606
Figure 5 - a Graphical overview of the BLAST results of a regular sequence b BLAST results of a chimeric sequence where the ITS1 comes from another species, such that the ITS1 is not involved in the alignment featuring the 5.8S+ITS2 (hence the lack of a match for the first ca. 180 bp.). Obviously, a severely compromised sequence that is already in INSD will always find a perfect match through BLAST in INSD: itself. In that case, the presence of a 100% similar reference sequence cannot be used as a testimony to the authenticity of the query sequence.
Figure 8 from: Nilsson R, Tedersoo L, Abarenkov K, Ryberg M, Kristiansson E, Hartmann M, Schoch C, Nylander J, Bergsten J, Porter T, Jumpponen A, Vaishampayan P, Ovaskainen O, Hallenberg N, Bengtsson-Palme J, Eriksson K, Larsson K, Larsson E, Kõljalg U (2012) Five simple guidelines for establishing basic authenticity and reliability of newly generated fungal ITS sequences. MycoKeys 4: 37-63. https://doi.org/10.3897/mycokeys.4.3606
Figure 8 - Untrimmed sequences tend to look like this when run through BLAST. Note how the first ca. 20 bp., and the last ca. 30 bp., of the query sequence (represented by the red bar with scale marks every 100 bp.) do not align to any of the BLAST hits. The use of different but closely situated primers may give a similar pattern, however, pointing at the need to also look at the BLAST alignments for start and end positions of the reference sequences.
Figure 4 from: Nilsson R, Tedersoo L, Abarenkov K, Ryberg M, Kristiansson E, Hartmann M, Schoch C, Nylander J, Bergsten J, Porter T, Jumpponen A, Vaishampayan P, Ovaskainen O, Hallenberg N, Bengtsson-Palme J, Eriksson K, Larsson K, Larsson E, Kõljalg U (2012) Five simple guidelines for establishing basic authenticity and reliability of newly generated fungal ITS sequences. MycoKeys 4: 37-63. https://doi.org/10.3897/mycokeys.4.3606
Figure 4 - A multiple alignment where the topmost sequence is chimeric and the remaining sequences represent its best BLAST matches. The alignment is fine in ITS1 and 5.8S (a; the 5.8S starts at position 479), but the alignment in ITS2 (b; position 637 and on) falls far short of scientific rigour. Alignments like these bespeak chimeric unions.
Figure 3 from: Nilsson R, Tedersoo L, Abarenkov K, Ryberg M, Kristiansson E, Hartmann M, Schoch C, Nylander J, Bergsten J, Porter T, Jumpponen A, Vaishampayan P, Ovaskainen O, Hallenberg N, Bengtsson-Palme J, Eriksson K, Larsson K, Larsson E, Kõljalg U (2012) Five simple guidelines for establishing basic authenticity and reliability of newly generated fungal ITS sequences. MycoKeys 4: 37-63. https://doi.org/10.3897/mycokeys.4.3606
Figure 3 - "Strand=Plus/Minus" indicates that the query and reference sequence come in opposing read directions. Another hint comes from the observation that the alignment starts at the first base (1) in the query sequence and progresses upwards to base 60 in the first alignment line; however, for the reference sequence, the alignment starts at base 635 and progresses downwards to base 578.
Figure 7 from: Nilsson R, Tedersoo L, Abarenkov K, Ryberg M, Kristiansson E, Hartmann M, Schoch C, Nylander J, Bergsten J, Porter T, Jumpponen A, Vaishampayan P, Ovaskainen O, Hallenberg N, Bengtsson-Palme J, Eriksson K, Larsson K, Larsson E, Kõljalg U (2012) Five simple guidelines for establishing basic authenticity and reliability of newly generated fungal ITS sequences. MycoKeys 4: 37-63. https://doi.org/10.3897/mycokeys.4.3606
Figure 7 - An assembly chimera. An extraneous sequence segment was assembled into a position where it should not have been, such as in the middle of the 5.8S. The white area in the reference sequences indicates the absence of sequence data for this particular part of the query sequence. Manual examination is always needed in cases like this.
Figure 1 from: Ardura A, Planes S, Garcia-Vazquez E (2013) Applications of DNA barcoding to fish landings: authentication and diversity assessmente. ZooKeys 365: 49-65. https://doi.org/10.3897/zookeys.365.6409
Figure 1 - Summary of population genetic diversity retrieved fromeach mitochondrial region separately (12S rDNA, COI, cyt b, D-Loop), from the coding and from all regions concatenated (All), in the four case studies. Mean (standard deviation as vertical bars) is provided for Nh/n, Hd and π (mean number of different haplotypes per species, haplotype diversity and nucleotide diversity respectively).
Fig. 4 in Authenticating wild Piper species (peppers) originating from islands in the Indian Ocean on the basis of morphological, genetic and chemical characteristics
Fig. 4. Content (g/100 g DM) in piperine and essential oil of the three wild peppers studied.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.