cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.17106346
title: Data and code for "Predicting the functional impact of single nucleotide variants in Drosophila melanogaster with FlyCADD"

description: Purpose

Single nucleotide polymorphisms (SNPs), the most common form of genomic variation, play key roles in micro-evolution and adaptation. In Drosophila melanogaster, many SNPs have been associated to phenotypes through association studies, yet functional validation remains challenging and experimental evidence for functional impact rare.

Here, we present FlyCADD, an impact prediction tool that integrates high-quality D. melanogaster genome annotations into a single score reflecting the predicted impact of a SNP. FlyCADD can be applied to distinguish causal from neutral variants, 1) for variant ranking and prioritization of SNPs for functional studies, 2) to improve genome-editing experimental design or evaluation and 3) to enhance interpretation of naturally occuring SNPs, thereby improving our understanding of genotype-phenotype relationships. 

Dataset content

We provide FlyCADD impact prediction scores readily available, both as precomputed scores for all possible single nucleotide variants on the D. melanogaster reference genome and through a locally executable pipeline for scoring novel variants of interest. If you want the FlyCADD scores to your SNPs of interest, they can often be found in the precomputed FlyCADD score files without the need to run the pipeline. If you have any questions, feel free to contact j.beets@vu.nl.

This repository provides:



        Manual on accessing and using FlyCADD scores (.txt file)

        Precomputed FlyCADD scores for all possible SNPs on the D. melanogaster reference genome Release 6 (.csv files)

        A locally executable FlyCADD pipeline for scoring novel variants, including the trained logistic regression model files, annotation files and scripts (Python)

        166-way multi-species alignment file underlying FlyCADD (.maf file)

        Reconstructed ancestral sequence underlying FlyCADD (.fasta files)

        Derived and simulated variants used for model training and testing FlyCADD (.vcf files)

        FlyCADD scores at all codon positions of unique transcripts in D. melanogaster (.txt files)

        FlyCADD scores for all unique chemically-induced lethal variants in D. melanogaster (Figure 7) (.csv file)


Additional resources

The full pipeline of FlyCADD development is available on GitHub (https://github.com/JuliaBeets/FlyCADD/). For any additional information regarding the collection and generation of data please contact us.
DOI: 10.5281/zenodo.17561968
title: EEG-Based Dataset Explicitly Targets the Transitions between Sitting and Standing for Exploring Neural Activation Patterns in Motor Imagery and Execution

description: This study presents the first publicly accessible electroencephalography (EEG) dataset explicitly targeting sit-to-stand and stand-to-sit transitions during both motor execution (ME) and motor imagery (MI) tasks. Twenty-two healthy participants performed sitting and standing transitions under well-controlled experimental conditions while 60-channel EEG, electrooculography (EOG), and electromyography (EMG) signals were synchronously recorded. The dataset enables the exploration of neural activation patterns associated with lower-limb movements and supports the development of EEG-based brain–computer interface (BCI) algorithms for mobility assistance and rehabilitation. To validate the dataset, a benchmark classification was conducted using EEGNet, a compact convolutional neural network. Results demonstrated consistent decoding performance with mean accuracies of approximately 80% for ME and 70% for MI, indicating the reliability and usability of the dataset. Additionally, analyses of movement-related cortical potentials (MRCPs) and event-related desynchronization/synchronization (ERD/ERS) patterns revealed distinct neural signatures across the transition phases. This dataset provides a comprehensive foundation for studying lower-limb motor control, neural dynamics, and the advancement of MI-based BCIs for rehabilitation and assistive technologies.

 

The raw and preprocessed data are available via the following URLs in the open-access online repository, Zenodo (https://zenodo.org).





raw data: https://zenodo.org/records/17561969


preprocessed data: https://zenodo.org/records/17629950
DOI: 10.5281/zenodo.17561969
title: EEG-Based Dataset Explicitly Targets the Transitions between Sitting and Standing for Exploring Neural Activation Patterns in Motor Imagery and Execution

description: This study presents the first publicly accessible electroencephalography (EEG) dataset explicitly targeting sit-to-stand and stand-to-sit transitions during both motor execution (ME) and motor imagery (MI) tasks. Twenty-two healthy participants performed sitting and standing transitions under well-controlled experimental conditions while 60-channel EEG, electrooculography (EOG), and electromyography (EMG) signals were synchronously recorded. The dataset enables the exploration of neural activation patterns associated with lower-limb movements and supports the development of EEG-based brain–computer interface (BCI) algorithms for mobility assistance and rehabilitation. To validate the dataset, a benchmark classification was conducted using EEGNet, a compact convolutional neural network. Results demonstrated consistent decoding performance with mean accuracies of approximately 80% for ME and 70% for MI, indicating the reliability and usability of the dataset. Additionally, analyses of movement-related cortical potentials (MRCPs) and event-related desynchronization/synchronization (ERD/ERS) patterns revealed distinct neural signatures across the transition phases. This dataset provides a comprehensive foundation for studying lower-limb motor control, neural dynamics, and the advancement of MI-based BCIs for rehabilitation and assistive technologies.

 

The raw and preprocessed data are available via the following URLs in the open-access online repository, Zenodo (https://zenodo.org).





raw data: https://zenodo.org/records/17561969


preprocessed data: https://zenodo.org/records/17629950
DOI: 10.5281/zenodo.2656724
title: S42 | HDXNOEX | Hydrogen Deuterium Exchange (HDX) Standard Set

description: Environmental standard set used to investigate hydrogen deuterium exchange in small molecule HRMS (Ruttkies et al. 2019, DOI 10.1007/s00216-019-01885-0). The HDXEXCH list on CompTox also contains observed deuterated species. Dataset DOI: 10.5281/zenodo.2656724.

This has a partner list of deuterated species (CompTox HDXEXCH List) associated with it that is not part of the NORMAN Suspect List Exchange (as these are not expected to occur in the environment). See related identifiers.
description: This has a partner list of deuterated species associated with it that is not part of the NORMAN Suspect List Exchange (as these are not expected to occur in the environment). See related identifiers.
DOI: 10.5281/zenodo.2656725
title: S42 | HDXNOEX | Hydrogen Deuterium Exchange (HDX) Standard Set

description: Environmental standard set used to investigate hydrogen deuterium exchange in small molecule HRMS (Ruttkies et al. 2019, DOI 10.1007/s00216-019-01885-0). The HDXEXCH list on CompTox also contains observed deuterated species. Dataset DOI: 10.5281/zenodo.2656724.

This has a partner list of deuterated species (CompTox HDXEXCH List) associated with it that is not part of the NORMAN Suspect List Exchange (as these are not expected to occur in the environment). See related identifiers.
description: This has a partner list of deuterated species associated with it that is not part of the NORMAN Suspect List Exchange (as these are not expected to occur in the environment). See related identifiers.
DOI: 10.15468/dl.vcqpw6
title: Occurrence Download

description: A dataset containing 394 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Athrixia phylicoides",
 "Year 1950-2025"
 ]
}

 The dataset includes 394 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005253-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6ku2a7
title: Occurrence Download

description: A dataset containing 27 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Korthalsia junghuhnii"
 ]
}

 The dataset includes 27 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005254-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g64pr5
title: Occurrence Download

description: A dataset containing 45820349 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-71.62 -13.12,69.27 -13.12,69.27 12.83,-71.62 12.83,-71.62 -13.12))",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 45820349 records from 7806 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005228-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17630/0d0ca60d-a7dc-4616-8145-ed2770c38f9c
title: Assessing the resilience of Scotland’s Blue Carbon Sediment Stores (thesis data)

description: Indefinite embargo applied. Embargo reason: permission not provided to allow public access
DOI: 10.6084/m9.figshare.29988112
title: The Anti-Fibrotic Effects of IFN-γ on TGF-β1-Treated Endometrial Stromal Cells

description: <b>Background:</b> Endometrial fibrosis represents a distinctive pathological feature of diverse gynecological disorders, marked by the abnormal trans-differentiation of endometrial stromal cells (ESCs) and elevated deposition of extracellular matrix (ECM). Transforming growth factor-beta1 (TGF-β1) emerges as an essential driver of fibrogenesis. The present investigation sought to elucidate the regulatory pathways of Interferon-γ (IFN-γ) in driving fibrotic changes mediated by TGF-β1 within human ESCs populations.<b>Methods:</b> A TGF-β1-induced in vitro ESCs fibrosis model was established. ESCs were subjected to various concentrations and time durations of TGF-β1 stimulation. The fibroproteins α-smooth muscle actin (α-SMA), collagen type I alpha 1 (COL1A1), and Vimentin (VIM) were evaluated through a combination of quantitative reverse transcription-polymerase chain reaction (RT-qPCR), Western blotting, and immunofluorescent (IF) staining to assess cell fibrogenesis. IFN-γ pretreatment and intervention groups were designed to evaluate its inhibitory effects on fibrosis, with an emphasis on the TGF-β1/Smad signaling network.<b>Results:</b> TGF-β1 strongly induced ESCs to undergo fibrotic changes, leading to the elevation of COL1A1 and α-SMA expressions while simultaneously reducing Vimentin levels. This effect was demonstrated in both dose and timing. IFN-γ notably suppressed the production of fibrotic markers induced by TGF-β1, mitigated the reduction in Vimentin expression, and effectively dampened the phosphorylation of p-Smad3 levels.<b>Conclusion:</b> IFN-γ inhibits TGF-β1- mediated fibrosis in ESCs by targeting the TGF-β1/Smad signaling pathway, providing new insights into the mechanism of endometrial fibrosis and potential theoretical support for targeted therapy of related diseases.
DOI: 10.6084/m9.figshare.29988112.v1
title: The Anti-Fibrotic Effects of IFN-γ on TGF-β1-Treated Endometrial Stromal Cells

description: <b>Background:</b> Endometrial fibrosis represents a distinctive pathological feature of diverse gynecological disorders, marked by the abnormal trans-differentiation of endometrial stromal cells (ESCs) and elevated deposition of extracellular matrix (ECM). Transforming growth factor-beta1 (TGF-β1) emerges as an essential driver of fibrogenesis. The present investigation sought to elucidate the regulatory pathways of Interferon-γ (IFN-γ) in driving fibrotic changes mediated by TGF-β1 within human ESCs populations.<b>Methods:</b> A TGF-β1-induced in vitro ESCs fibrosis model was established. ESCs were subjected to various concentrations and time durations of TGF-β1 stimulation. The fibroproteins α-smooth muscle actin (α-SMA), collagen type I alpha 1 (COL1A1), and Vimentin (VIM) were evaluated through a combination of quantitative reverse transcription-polymerase chain reaction (RT-qPCR), Western blotting, and immunofluorescent (IF) staining to assess cell fibrogenesis. IFN-γ pretreatment and intervention groups were designed to evaluate its inhibitory effects on fibrosis, with an emphasis on the TGF-β1/Smad signaling network.<b>Results:</b> TGF-β1 strongly induced ESCs to undergo fibrotic changes, leading to the elevation of COL1A1 and α-SMA expressions while simultaneously reducing Vimentin levels. This effect was demonstrated in both dose and timing. IFN-γ notably suppressed the production of fibrotic markers induced by TGF-β1, mitigated the reduction in Vimentin expression, and effectively dampened the phosphorylation of p-Smad3 levels.<b>Conclusion:</b> IFN-γ inhibits TGF-β1- mediated fibrosis in ESCs by targeting the TGF-β1/Smad signaling pathway, providing new insights into the mechanism of endometrial fibrosis and potential theoretical support for targeted therapy of related diseases.
DOI: 10.25346/s6lqjm3j/azcmnm
title: msXL_336r_MMSI+RTI+M0450RB_005_F.tif
DOI: 10.25346/s6lqjm3j/hpx4bi
title: msXL_336r_MMSI+RTI+M0420VI_004_F.tif
DOI: 10.5281/zenodo.17426468
title: Product information from major Czech E-commerce retailer including average return rates
DOI: 10.5281/zenodo.17426467
title: Product information from major Czech E-commerce retailer including average return rates
DOI: 10.25346/s6lqjm3j/qvv9xm
title: msXL_336r_MMSI+RTI+M0400UV_003_F.tif
DOI: 10.25346/s6lqjm3j/hfbcdc
title: msXL_336r_MMSI+RTI+M0385UV_002_F.tif
DOI: 10.25346/s6lqjm3j/925ns6
title: msXL_336r_MMSI+RTI+M0365UV_001_F.tif
DOI: 10.25346/s6lqjm3j/hjggh8
title: msXL_336r_MMSI+RTI+Arc_G15_096_F.tif
DOI: 10.25346/s6lqjm3j/xqpwxu
title: msXL_336r_MMSI+RTI+Arc_G13_095_F.tif
DOI: 10.25346/s6lqjm3j/wog3eg
title: msXL_336r_MMSI+RTI+Arc_G11_094_F.tif
DOI: 10.25346/s6lqjm3j/dzkavs
title: msXL_336r_MMSI+RTI+Arc_G09_093_F.tif
DOI: 10.25346/s6lqjm3j/svptkn
title: msXL_336r_MMSI+RTI+Arc_G07_092_F.tif
DOI: 10.25346/s6lqjm3j/0tluyc
title: msXL_336r_MMSI+RTI+Arc_G05_091_F.tif
DOI: 10.25346/s6lqjm3j/yf8q8t
title: msXL_336r_MMSI+RTI+Arc_G03_090_F.tif
DOI: 10.25346/s6lqjm3j/em8btq
title: msXL_336r_MMSI+RTI+Arc_G01_089_F.tif
DOI: 10.25346/s6lqjm3j/plwg8o
title: msXL_336r_MMSI+RTI+Arc_F16_088_F.tif
DOI: 10.25346/s6lqjm3j/ilxsum
title: msXL_336r_MMSI+RTI+Arc_F14_087_F.tif
DOI: 10.25346/s6lqjm3j/wsn0qg
title: msXL_336r_MMSI+RTI+Arc_F12_086_F.tif
DOI: 10.25346/s6lqjm3j/l1574c
title: msXL_336r_MMSI+RTI+Arc_F10_085_F.tif
DOI: 10.25346/s6lqjm3j/0qc2xw
title: msXL_336r_MMSI+RTI+Arc_F08_084_F.tif
DOI: 10.25346/s6lqjm3j/ylhsvr
title: msXL_336r_MMSI+RTI+Arc_F06_083_F.tif
DOI: 10.25346/s6lqjm3j/ydnjyw
title: msXL_336r_MMSI+RTI+Arc_F04_082_F.tif
DOI: 10.25346/s6lqjm3j/iflwof
title: msXL_336r_MMSI+RTI+Arc_F02_081_F.tif
DOI: 10.25346/s6lqjm3j/rrha3s
title: msXL_336r_MMSI+RTI+Arc_E15_080_F.tif
DOI: 10.25346/s6lqjm3j/cligie
title: msXL_336r_MMSI+RTI+Arc_E13_079_F.tif
DOI: 10.25346/s6lqjm3j/i58vdc
title: msXL_336r_MMSI+RTI+Arc_E11_078_F.tif
DOI: 10.15468/dl.d94a5g
title: Occurrence Download

description: A dataset containing 2904 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Human Observation, Material sample, Material citation, Living Specimen, Occurrence evidence)",
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Geomyidae"
 ]
}

 The dataset includes 2904 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032108-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25346/s6lqjm3j/jsqpwo
title: msXL_336r_MMSI+RTI+Arc_E09_077_F.tif
DOI: 10.25346/s6lqjm3j/cv4po9
title: msXL_336r_MMSI+RTI+Arc_E07_076_F.tif
DOI: 10.25346/s6lqjm3j/qr78bs
title: msXL_336r_MMSI+RTI+Arc_E05_075_F.tif
DOI: 10.25346/s6lqjm3j/7qylyt
title: msXL_336r_MMSI+RTI+Arc_E03_074_F.tif
DOI: 10.25346/s6lqjm3j/ec4yjw
title: msXL_336r_MMSI+RTI+Arc_E01_073_F.tif
DOI: 10.25346/s6lqjm3j/mobweb
title: msXL_336r_MMSI+RTI+Arc_D16_072_F.tif
DOI: 10.25346/s6lqjm3j/wwmjj8
title: msXL_336r_MMSI+RTI+Arc_D14_071_F.tif
DOI: 10.25346/s6lqjm3j/o7umiv
title: msXL_336r_MMSI+RTI+Arc_D12_070_F.tif
DOI: 10.25346/s6lqjm3j/uls6rj
title: msXL_336r_MMSI+RTI+Arc_D10_069_F.tif
DOI: 10.25346/s6lqjm3j/yfjxpy
title: msXL_336r_MMSI+RTI+Arc_D08_068_F.tif
DOI: 10.25346/s6lqjm3j/gagsly
title: msXL_336r_MMSI+RTI+Arc_D06_067_F.tif
DOI: 10.25346/s6lqjm3j/oq4ikk
title: msXL_336r_MMSI+RTI+Arc_D04_066_F.tif
DOI: 10.25346/s6lqjm3j/thkedr
title: msXL_336r_MMSI+RTI+Arc_D02_065_F.tif
DOI: 10.25346/s6lqjm3j/2pcdye
title: msXL_336r_MMSI+RTI+Arc_C15_064_F.tif
DOI: 10.25346/s6lqjm3j/lv8o3r
title: msXL_336r_MMSI+RTI+Arc_C13_063_F.tif
DOI: 10.25346/s6lqjm3j/sbalfl
title: msXL_336r_MMSI+RTI+Arc_C11_062_F.tif
DOI: 10.25346/s6lqjm3j/oouzvi
title: msXL_336r_MMSI+RTI+Arc_C09_061_F.tif
DOI: 10.25346/s6lqjm3j/nfhvuu
title: msXL_336r_MMSI+RTI+Arc_C07_060_F.tif
DOI: 10.25346/s6lqjm3j/yabb8b
title: msXL_336r_MMSI+RTI+Arc_C05_059_F.tif
DOI: 10.25346/s6lqjm3j/aszlf1
title: msXL_336r_MMSI+RTI+Arc_C03_058_F.tif
DOI: 10.25346/s6lqjm3j/udmzp4
title: msXL_336r_MMSI+RTI+Arc_C01_057_F.tif
DOI: 10.25346/s6lqjm3j/frjgnk
title: msXL_336r_MMSI+RTI+Arc_B16_056_F.tif
DOI: 10.25346/s6lqjm3j/31ofo4
title: msXL_336r_MMSI+RTI+Arc_B14_055_F.tif
DOI: 10.25346/s6lqjm3j/7kne1i
title: msXL_336r_MMSI+RTI+Arc_B12_054_F.tif
DOI: 10.25346/s6lqjm3j/wpzvaj
title: msXL_336r_MMSI+RTI+Arc_B10_053_F.tif
DOI: 10.25346/s6lqjm3j/siexw0
title: msXL_336r_MMSI+RTI+Arc_B08_052_F.tif
DOI: 10.25346/s6lqjm3j/w3xzqz
title: msXL_336r_MMSI+RTI+Arc_B06_051_F.tif
DOI: 10.25346/s6lqjm3j/a1g0yh
title: msXL_336r_MMSI+RTI+Arc_B04_050_F.tif
DOI: 10.25346/s6lqjm3j/hn4nay
title: msXL_336r_MMSI+RTI+Arc_B02_049_F.tif
DOI: 10.25346/s6lqjm3j/41t5gv
title: msXL_336r_MMSI+RTI+Arc_A15_048_F.tif
DOI: 10.25346/s6lqjm3j/xby3bw
title: msXL_336r_MMSI+RTI+Arc_A13_047_F.tif
DOI: 10.25346/s6lqjm3j/k7tos0
title: msXL_336r_MMSI+RTI+Arc_A11_046_F.tif
DOI: 10.25346/s6lqjm3j/byjluf
title: msXL_336r_MMSI+RTI+Arc_A09_045_F.tif
DOI: 10.25346/s6lqjm3j/uxx2lv
title: msXL_336r_MMSI+RTI+Arc_A07_044_F.tif
DOI: 10.25346/s6lqjm3j/so78cl
title: msXL_336r_MMSI+RTI+Arc_A05_043_F.tif
DOI: 10.25346/s6lqjm3j/o5df41
title: msXL_336r_MMSI+RTI+Arc_A03_042_F.tif
DOI: 10.25346/s6lqjm3j/bckifa
title: msXL_336r_MMSI+RTI+Arc_A01_041_F.tif
DOI: 10.25346/s6lqjm3j/aitpvz
title: msXL_335v_MMSI+RTI+W530R72_039_F.tif
DOI: 10.25346/s6lqjm3j/vy4low
title: msXL_335v_MMSI+RTI+W505665_040_F.tif
DOI: 10.25346/s6lqjm3j/7uxgok
title: msXL_335v_MMSI+RTI+W450R25_030_F.tif
DOI: 10.25346/s6lqjm3j/yxhis8
title: msXL_335v_MMSI+RTI+W450G58_034_F.tif
DOI: 10.25346/s6lqjm3j/igonmt
title: msXL_335v_MMSI+RTI+W450B47_038_F.tif
DOI: 10.25346/s6lqjm3j/alfhzd
title: msXL_335v_MMSI+RTI+W400R25_029_F.tif
DOI: 10.25346/s6lqjm3j/zkjdlg
title: msXL_335v_MMSI+RTI+W400G58_033_F.tif
DOI: 10.25346/s6lqjm3j/avxp5u
title: msXL_335v_MMSI+RTI+W400B47_037_F.tif
DOI: 10.25346/s6lqjm3j/ugggav
title: msXL_335v_MMSI+RTI+W385R25_028_F.tif
DOI: 10.25346/s6lqjm3j/0uqcyr
title: msXL_335v_MMSI+RTI+W385G58_032_F.tif
DOI: 10.25346/s6lqjm3j/6hodks
title: msXL_335v_MMSI+RTI+W385B47_036_F.tif
DOI: 10.25346/s6lqjm3j/poilwm
title: msXL_335v_MMSI+RTI+W365R25_027_F.tif
DOI: 10.25346/s6lqjm3j/bi83yl
title: msXL_335v_MMSI+RTI+W365G58_031_F.tif
DOI: 10.25346/s6lqjm3j/nkacdu
title: msXL_335v_MMSI+RTI+W365B47_035_F.tif
DOI: 10.25346/s6lqjm3j/zqsy6t
title: msXL_335v_MMSI+RTI+TX940IR_025_F.tif
DOI: 10.25346/s6lqjm3j/kdnyvc
title: msXL_335v_MMSI+RTI+TX735IR_024_F.tif
DOI: 10.25346/s6lqjm3j/lhi9u9
title: msXL_335v_MMSI+RTI+TX615RO_023_F.tif
DOI: 10.25346/s6lqjm3j/k1ypz3
title: msXL_335v_MMSI+RTI+TX1050R_026_F.tif
DOI: 10.25346/s6lqjm3j/3zbqlj
title: msXL_335v_MMSI+RTI+TX1050R_022_F.tif
DOI: 10.25346/s6lqjm3j/1cwaiu
title: msXL_335v_MMSI+RTI+M1050IR_021_F.tif
DOI: 10.25346/s6lqjm3j/uywitl
title: msXL_335v_MMSI+RTI+M1050IR_020_F.tif
DOI: 10.25346/s6lqjm3j/v8wmz7
title: msXL_335v_MMSI+RTI+M1050IR_019_F.tif
DOI: 10.25346/s6lqjm3j/zwjj5z
title: msXL_335v_MMSI+RTI+M0940IR_018_F.tif
DOI: 10.25346/s6lqjm3j/hhwlzg
title: msXL_335v_MMSI+RTI+M0850IR_017_F.tif
DOI: 10.25346/s6lqjm3j/dffmfw
title: msXL_335v_MMSI+RTI+M0780IR_016_F.tif
DOI: 10.25346/s6lqjm3j/bcw6qq
title: msXL_335v_MMSI+RTI+M0735IR_015_F.tif
DOI: 10.25346/s6lqjm3j/1stb3f
title: msXL_335v_MMSI+RTI+M0700IR_014_F.tif
DOI: 10.25346/s6lqjm3j/7yni31
title: msXL_335v_MMSI+RTI+M0655DR_013_F.tif
DOI: 10.25346/s6lqjm3j/kefct8
title: msXL_335v_MMSI+RTI+M0630RD_012_F.tif
DOI: 10.25346/s6lqjm3j/0xzqjk
title: msXL_335v_MMSI+RTI+M0615RO_011_F.tif
DOI: 10.25346/s6lqjm3j/pkpwbv
title: msXL_335v_MMSI+RTI+M0590AM_010_F.tif
DOI: 10.25346/s6lqjm3j/grerr8
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DOI: 10.25346/s6lqjm3j/0w7gvd
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DOI: 10.13140/rg.2.2.14809.99682
title: Dairy and Food Process and Products Technology- NPTEL- Certificate
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