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spectra were transferred to Chenomx 8.4 (e at https://www.chenomx.com/ and visited on the 2nd of April 2023) for standard profiling and calibration using the Chenomx Processor. The H2O resonance peak was removed by deleting the region from 4.56 ppm to 4.97 ppm. Adjustments to pH were made according to the samples recorded ph. In Chenomx, peak assignment, identification, and quantification were performed using the Chenomx profiler tool and reference library. Each spectrum was manually inspected and adjusted to accommodate the non-homeostatic characteristics (such as varying pH and metal ion content) of faecal samples before exporting the resulting compound concentrations. Concentrations were measured relative to the internal DSS standard.&lt;/p></metabolite_identification_protocol><repository>MetaboLights</repository><study_status>Public</study_status><ptm_modification></ptm_modification><instrument_platform>Nuclear Magnetic Resonance (NMR) -</instrument_platform><publication>Integrated bacterial microbiome–metabolome profiling reveals coupled ecological and biochemical disruption in Cryptosporidium-infected neonatal dairy calves.</publication><nmr_spectroscopy_protocol>&lt;p>Samples were analysed in random order using one-dimensional 1H NMR spectroscopy on a 600 MHz AVANCE III spectrometer equipped with a QCI-P cryoprobe (Bruker) at 298 K, with a transmitter frequency of 600.05 MHz locked to D2O (5% v/v). Tuning and shimming were carried out automatically for each sample, as was the 90° pulse calibration. The receiver gain was limited to a maximum of 128. The spectra were acquired using a 130-cycle CPMG sequence with delays of 600 µs between 180° hard pulses, giving an overall CPMG time of 79 ms. Pre-saturation at a power level of 3.7x10-5 W was applied for 3.1 seconds during the relaxation delay, followed by two sets of 90-180-90 hard-pulse trains, each separated by 300 µs of pre-saturation at the same power level. The two sets of 90-180-90 pulse trains were terminated by a sandwich of 1ms gradient pulses (strengths -13.7, 52.6, 8 -17.13, 86.52 x 52G/cm), separated by a 200 µs pre-saturation pulse at the same level. Data were acquired using 512 scans and 16 dummy scans, with a spectral width of 16.02 ppm (9615.38 Hz), giving an acquisition time of 1.70 s. The data size was 32,768 points, giving a total recycle time of 4.8 s. For all experiments, the water resonance was optimised for maximum suppression (o1p was ~4.699 ppm). The field strength of the pre-saturation was 140.25 Hz (standard Bruker parameters).&amp;nbsp;&lt;/p></nmr_spectroscopy_protocol><submitter_name>William Edwards</submitter_name><submitter_affiliation>University of Kent</submitter_affiliation><organism_part>feces</organism_part><technology_type>NMR spectroscopy assay</technology_type><disease></disease><extraction_protocol>&lt;p>metabolites were extracted in 80% methanol solution at 80C.&lt;/p>&lt;p>methanol was removed via freeze drying and samples were resuspended in NMR buffer&lt;/p></extraction_protocol><organism>Bos taurus</organism><full_dataset_link>https://www.ebi.ac.uk/metabolights/MTBLS15533</full_dataset_link><author>Anastasios Tsaousis. University of Kent. A.Tsaousis@kent.ac.uk.</author><author>William Edwards. University of Kent. we32@kent.ac.uk.</author><data_transformation_protocol>&lt;p>The spectra were phased, manually corrected at the baseline, and broadened using a 1 Hz exponential window function in TOPSPIN 4.1.1 (Bruker).&amp;nbsp;&lt;/p></data_transformation_protocol><study_factor>Health</study_factor><submitter_email>we32@kent.ac.uk</submitter_email><sample_collection_protocol>&lt;p>Samples were feces from cattle. feces was collected directly from rectum under vetinary supervision&lt;/p></sample_collection_protocol><omics_type>Metabolomics</omics_type><study_design>Metabolomics</study_design><study_design>Cryptosporidium</study_design><study_design>Multi-omics study</study_design><study_design>untargeted analysis</study_design><study_design>Bruker AVANCE III 600 MHz spectrometer</study_design><study_design>Metabolome</study_design><study_design>experimental blank</study_design><study_design>Bos taurus</study_design><study_design>microbiome</study_design><study_design>feces</study_design><curator_keywords>Metabolomics</curator_keywords><curator_keywords>Cryptosporidium</curator_keywords><curator_keywords>Multi-omics study</curator_keywords><curator_keywords>untargeted analysis</curator_keywords><curator_keywords>Bruker AVANCE III 600 MHz spectrometer</curator_keywords><curator_keywords>Metabolome</curator_keywords><curator_keywords>experimental blank</curator_keywords><curator_keywords>Bos taurus</curator_keywords><curator_keywords>microbiome</curator_keywords><curator_keywords>feces</curator_keywords><nmr_sample_protocol>&lt;p>NMR samples were prepared by taking previously freeze dried sample and suspending in buffer composed of D2O + 538mg NaH2PO4*H2O + 866.2mg Na2HPO4&lt;/p></nmr_sample_protocol></additional><is_claimable>false</is_claimable><name>Integrated bacterial microbiome–metabolome profiling reveals coupled ecological and biochemical disruption in Cryptosporidium-infected neonatal dairy calves</name><description>A study looking at the effect of Cryptosporidiosis on calves at multiple French farms, on their metabolome and microbiome.</description><dates><publication>2026-09-02</publication><submission>2026-09-02</submission></dates><accession>MTBLS15533</accession><cross_references/></HashMap>