cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15485/1876898
title: Spatially Averaged Ice Contents of Ice-Wedge Polygon Cross-Sections to 3-m Depth, July 2013, Utqiagvik, Alaska

description: This dataset contains spatially averaged estimates of ice content (volume percent) for two-dimensional cross-sectional profiles (from trough center to trough center to a depth of 3 meters) of low- and flat-centered ice-wedge polygons (three of each type) located near Utqiagvik, Alaska. A combination of soil pits, trenches, and cores were used to describe, sample, and map the cross-section stratigraphy of soil horizons and ice wedges for each polygon at 6 depth intervals. Observed soil horizons were assigned to four types with increasing amounts of organic components (mineral, mineral/organic, organic/mineral, and organic). The average ice contents of each soil horizon type below the permafrost boundary and wedge ice were weighted by their cross-sectional area fractions to calculate spatially averaged estimates of ice content for each polygon. In the active layer, spatially averaged estimates of volumetric water contents were similarly determined and reported here as “ice” content to enable estimates of the soil’s structurally competent porosity and excess ice in permafrost layers. In this dataset, the file AK13_ice_contents.csv includes cross-sectional area fractions and spatially averaged ice contents for soil layers and horizon types at the six depth intervals. The file AK13_permafrost_ice_fractions.csv contains the calculated partitioning of ice contents into pore ice and excess ice fractions for the three permafrost-dominated depth intervals. In addition, there is a data dictionary file for each of these data files and a file-level metadata file. These data were generated by the Department of Energy’s Soil Carbon Response to Environmental Change Scientific Focus Area and were used as inputs to model simulations examining the consequences of thaw-affected subsidence and microtopography change on active layer thickness of low-relief polygonal tundra landscapes in a warming Arctic.
DOI: 10.15485/1892053
title: Transport and Retention of Particulate Organic Matter in Sand: Lab Experiments and Modelling

description: Flow-through reactor (FTR) experiments were conducted at three different downward vertical flow rates to study the transport and retention of particulate organic matter (Chlorella powder) in riverbed sediments. This data package includes data files (.csv) regarding effluent collected from the FTRs during the experiments (time, duration, volume of each sample collection; concentration of nonreactive bromide tracer; concentration of suspended Chlorella determined by absorbance measurements) and sediment (sand) slices collected from the FTRs after the experiments (mass of Chlorella retained in 1 cm depth intervals determined by loss-on-ignition method). More detailed descriptions of data are provided in the data dictionary, and detailed methods are available in the associated MSc thesis listed in ‘Related References.’ The data dictionary and file level meta data (FLMD) are included in the data package as both .csv and .xlsx files. This data package also includes timelapse videos (.mp4) of the experiments, and modelling scripts associated with the experiments. The modelling scripts are included as MATLAB ‘live scripts’ (.mlx, which can be run using MATLAB), and are also included as .pdf and .html files with output plots included (which can be viewed without a MATLAB license and installation). The data files and modelling scripts are organized into a .zip folder for each of the three FTR experiments (three flow rates).
DOI: 10.5281/zenodo.7864530
title: Data for "Detection of large-scale cloud microphysical changes within a major shipping corridor after implementation of the IMO 2020 fuel sulfur regulations"

description: Processed data used for the manuscript "Detection of large-scale cloud microphysical changes within a major shipping corridor after implementation of the IMO 2020 fuel sulfur regulations". Includes input data for kriging algorithm as "SSF1deg_shipkrige_Terra.nc" and output data files as "Data_Terra_[VAR]_[YEAR]_C_M[MONTH].nc" for [VAR] Acld (overcast albedo) or cer (cloud droplet effective radius), [YEAR] the starting year of a three-year period starting with 2002 and ending at 2020 or "clim" for the 2002-2019 climatology, and [MONTH] 1to12 (annual mean) or 9to11 (austral spring). For the output data, "Obs" is the original data, "Est" is the mean counterfactual field obtained via kriging, "lowEst" and "highEst" are the 2.5th and 97.5th percentiles of the kriged fields for each grid box, "krSims" stores the results of the 5,000 simulated kriged fields, "Semivariance" is the binned empirical variogram values, "pVal" is the raw field significance (not adjusted for multiple testing), "nOut" is the number of individually significant grid boxes, "tran" is the transform applied (none for cer, logit for Acld), "iniPhi" and "iniSigma2" are the initial values for the fitted variogram, "Phi" and "Sigma2" are the fitted values using weighted least squares, and "parSel" is the list of selected regressors for the mean function that minimize the Bayesian information criterion.
description: Diamond, M. S.: Detection of large-scale cloud microphysical changes within a major shipping corridor after implementation of the International Maritime Organization 2020 fuel sulfur regulations, Atmos. Chem. Phys., 23, 8259–8269, https://doi.org/10.5194/acp-23-8259-2023, 2023.
DOI: 10.5281/zenodo.7864529
title: Data for "Detection of large-scale cloud microphysical changes within a major shipping corridor after implementation of the IMO 2020 fuel sulfur regulations"

description: Processed data used for the manuscript "Detection of large-scale cloud microphysical changes within a major shipping corridor after implementation of the IMO 2020 fuel sulfur regulations". Includes input data for kriging algorithm as "SSF1deg_shipkrige_Terra.nc" and output data files as "Data_Terra_[VAR]_[YEAR]_C_M[MONTH].nc" for [VAR] Acld (overcast albedo) or cer (cloud droplet effective radius), [YEAR] the starting year of a three-year period starting with 2002 and ending at 2020 or "clim" for the 2002-2019 climatology, and [MONTH] 1to12 (annual mean) or 9to11 (austral spring). For the output data, "Obs" is the original data, "Est" is the mean counterfactual field obtained via kriging, "lowEst" and "highEst" are the 2.5th and 97.5th percentiles of the kriged fields for each grid box, "krSims" stores the results of the 5,000 simulated kriged fields, "Semivariance" is the binned empirical variogram values, "pVal" is the raw field significance (not adjusted for multiple testing), "nOut" is the number of individually significant grid boxes, "tran" is the transform applied (none for cer, logit for Acld), "iniPhi" and "iniSigma2" are the initial values for the fitted variogram, "Phi" and "Sigma2" are the fitted values using weighted least squares, and "parSel" is the list of selected regressors for the mean function that minimize the Bayesian information criterion.
description: Diamond, M. S.: Detection of large-scale cloud microphysical changes within a major shipping corridor after implementation of the International Maritime Organization 2020 fuel sulfur regulations, Atmos. Chem. Phys., 23, 8259–8269, https://doi.org/10.5194/acp-23-8259-2023, 2023.
DOI: 10.57841/casdc.0001782
title: 等温淬火工艺对GCr15SiMo钢微观组织和摩擦磨损性能的影响
DOI: 10.5285/3da1c0a9458e48bfbc20622f4df7d15b
title: EuroCORDEX-UK: Regional climate projections for the UK by Administrative Regions for 1980-2080

description: Regional climate model projections produced by the CoOrdinated Regional Downscaling EXperiment (CORDEX) and complementary to that produced by the UK Climate Projection 2018 (UKCP18) project. The data provides information on changes in climate for the UK until 2080, downscaled to a high resolution (12km), helping to inform adaptation to a changing climate. The projections cover the UK for a 100 year period, 1981-2080, for a high emissions scenario, RCP8.5. Each projection provides an example of climate variability in a changing climate, which is consistent across climate variables at different times and spatial locations. This dataset contains average values of indices for administrative regions of the UK. Dataset development was funded under the UK Climate Resilience programme, which is supported by the UKRI Strategic Priorities Fund. The programme is co-delivered by the Met Office and NERC on behalf of UKRI partners AHRC, EPSRC, and ESRC.
DOI: 10.34740/kaggle/dsv/5165223
title: Nifty-50 & Nifty Future 50 Dataset
DOI: 10.5285/072fe59012d24ccaaa5b889a8b7a42b1
title: EuroCORDEX-UK: Regional climate projections for the UK by River Basins for 1980-2080

description: Regional climate model projections produced by the CoOrdinated Regional Downscaling EXperiment (CORDEX) and complementary to that produced by the UK Climate Projection 2018 (UKCP18) project. The data provides information on changes in climate for the UK until 2080, downscaled to a high resolution (12 km), helping to inform adaptation to a changing climate. The projections cover the UK for a 100 year period, 1981-2080, for a high emissions scenario, RCP8.5. Each projection provides an example of climate variability in a changing climate, which is consistent across climate variables at different times and spatial locations. This dataset contains average values of indices for major UK river basins. Dataset development was funded under the UK Climate Resilience programme, which is supported by the UKRI Strategic Priorities Fund. The programme is co-delivered by the Met Office and NERC on behalf of UKRI partners AHRC, EPSRC, and ESRC.
DOI: 10.5519/qd.1tbni7g3
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (3010 records)
DOI: 10.5281/zenodo.5777339
title: Predict students' dropout and academic success

description: A dataset created from a higher education institution (acquired from several disjoint databases) related to students enrolled in different undergraduate degrees, such as agronomy, design, education, nursing, journalism, management, social service, and technologies. The dataset includes information known at the time of student enrollment (academic path, demographics, and social-economic factors) and the students' academic performance at the end of the first and second semesters. The data is used to build classification models to predict students' dropout and academic success. The problem is formulated as a three category classification task (dropout, enrolled, and graduate) at the end of the normal duration of the course.<br> <strong>Funding</strong><br> We acknowledge support of this work by the program "SATDAP - Capacitação da Administração Pública under grant POCI-05-5762-FSE-000191, Portugal"
DOI: 10.14469/hpc/12363
title: A ROR Persistent Identifier for the WATOC organisation – helping to make scientific connections.
DOI: 10.34740/kaggle/dsv/5165313
title: AdultoMayor_17_fc
DOI: 10.14272/fxwfzirwwnppov-uhfffaoysa-n/chmo0000630
title: infrared absorption spectroscopy (IR) (2-aminobenzaldehyde)
title: InChI=1S/C7H7NO/c8-7-4-2-1-3-6(7)5-9/h1-5H,8H2

description: dataset for infrared absorption spectroscopy (IR) IR (ATR, ṽ) = 3463 (vs), 3327 (s), 3051 (m), 2839 (m), 2759 (s), 2670 (w), 1664 (vs), 1609 (vs), 1579 (vs), 1548 (vs), 1479 (vs), 1456 (vs), 1395 (vs), 1347 (s), 1322 (vs), 1288 (s), 1275 (m), 1184 (vs), 1145 (vs), 1037 (s), 1006 (s), 946 (s), 880 (vs), 751 (vs), 660 (vs), 636 (vs), 548 (vs), 543 (vs), 449 (vs), 415 (vs) cm–1.
DOI: 10.14272/fxwfzirwwnppov-uhfffaoysa-n/chmo0000596.1
title: distortionless enhancement with polarization transfer (DEPT) (2-aminobenzaldehyde)
title: InChI=1S/C7H7NO/c8-7-4-2-1-3-6(7)5-9/h1-5H,8H2

description: dataset for distortionless enhancement with polarization transfer (DEPT) 13C NMR (100 MHz, Chloroform-d [77.0 ppm], ppm) δ = 194.0 (1C, CHO), 135.6 (1C, CHAr), 135.1 (1C, CHAr), 116.2 (1C, CHAr), 115.9 (1C, CHAr).
DOI: 10.14272/fxwfzirwwnppov-uhfffaoysa-n/chmo0000470
title: mass spectrometry (MS) (2-aminobenzaldehyde)
title: InChI=1S/C7H7NO/c8-7-4-2-1-3-6(7)5-9/h1-5H,8H2

description: dataset for mass spectrometry (MS) MS (EI, m/z, 70 eV, 20 °C): 121 [M]+ (100), 93 (95), 92 (24), 66 (29), 65 (26)HRMS (EI, C7H7O1N1): calcd 121.0522, found 121.0521.
DOI: 10.14272/fxwfzirwwnppov-uhfffaoysa-n/chmo0000593
title: 1H nuclear magnetic resonance spectroscopy (1H NMR) (2-aminobenzaldehyde)
title: InChI=1S/C7H7NO/c8-7-4-2-1-3-6(7)5-9/h1-5H,8H2

description: dataset for 1H nuclear magnetic resonance spectroscopy (1H NMR) 1H NMR (400 MHz, Chloroform-d [7.27 ppm], ppm) δ = 9.83 (s, 1H, CHO), 7.44 (dd, 4J = 1.5 Hz, 3J = 7.8 Hz, 1H, CHAr), 7.29–7.23 (m, 1H, CHAr), 6.73–6.68 (m, 1H, CHAr), 6.61 (d, 3J = 8.3 Hz, 1H, CHAr), 6.11 (s, 2H, NH2).
DOI: 10.14272/fxwfzirwwnppov-uhfffaoysa-n/chmo0000595
title: 13C nuclear magnetic resonance spectroscopy (13C NMR) (2-aminobenzaldehyde)
title: InChI=1S/C7H7NO/c8-7-4-2-1-3-6(7)5-9/h1-5H,8H2

description: dataset for 13C nuclear magnetic resonance spectroscopy (13C NMR) 13C NMR (100 MHz, Chloroform-d [77.0 ppm], ppm) δ = 194.0 (1C, CHO), 149.8 (1C, Cq), 135.6 (1C, CHAr), 135.1 (1C, CHAr), 118.7 (1C, Cq), 116.2 (1C, CHAr), 115.9 (1C, CHAr).
DOI: 10.14272/fxwfzirwwnppov-uhfffaoysa-n.1
title: 2-aminobenzaldehyde
title: InChI=1S/C7H7NO/c8-7-4-2-1-3-6(7)5-9/h1-5H,8H2

description: This dataset contains experimental data from a sample (2-aminobenzaldehyde, InChI=1S/C7H7NO/c8-7-4-2-1-3-6(7)5-9/h1-5H,8H2). The datasets from the following experiments are available: 1H nuclear magnetic resonance spectroscopy (1H NMR) 13C nuclear magnetic resonance spectroscopy (13C NMR) distortionless enhancement with polarization transfer (DEPT) distortionless enhancement with polarization transfer (DEPT) infrared absorption spectroscopy (IR) mass spectrometry (MS) elemental analysis (EA)
DOI: 10.14272/fxwfzirwwnppov-uhfffaoysa-n/chmo0000596
title: distortionless enhancement with polarization transfer (DEPT) (2-aminobenzaldehyde)
title: InChI=1S/C7H7NO/c8-7-4-2-1-3-6(7)5-9/h1-5H,8H2

description: dataset for distortionless enhancement with polarization transfer (DEPT) 13C NMR (100 MHz, Chloroform-d [77.0 ppm], ppm) δ = 194.0 (1C, CHO), 135.6 (1C, CHAr), 135.1 (1C, CHAr), 116.2 (1C, CHAr), 115.9 (1C, CHAr).
DOI: 10.14272/fxwfzirwwnppov-uhfffaoysa-n/chmo0001075
title: elemental analysis (EA) (2-aminobenzaldehyde)
title: InChI=1S/C7H7NO/c8-7-4-2-1-3-6(7)5-9/h1-5H,8H2

description: dataset for elemental analysis (EA) EA (C7H7O1N1): Calcd C 69.41; H 5.82; N 11.56. Found C 69.70; H 5.71; N 11.53.
DOI: 10.5281/zenodo.7733485
title: CYJAX: A package for Calabi-Yau metrics with JAX [data & figures]

description: Data of achieved accuracies of numerically approximated Calabi-Yau metrics as presented in the associated paper "CYJAX: A package for Calabi-Yau metrics with JAX" [2211.12520].
DOI: 10.5281/zenodo.7733534
title: CYJAX: A package for Calabi-Yau metrics with JAX [data & figures]

description: Data of achieved accuracies of numerically approximated Calabi-Yau metrics as presented in the associated paper "CYJAX: A package for Calabi-Yau metrics with JAX" [2211.12520].
DOI: 10.5281/zenodo.7733484
title: CYJAX: A package for Calabi-Yau metrics with JAX [data & figures]

description: Data of achieved accuracies of numerically approximated Calabi-Yau metrics as presented in the associated paper "CYJAX: A package for Calabi-Yau metrics with JAX" [2211.12520].
DOI: 10.5281/zenodo.7733547
title: CYJAX: A package for Calabi-Yau metrics with JAX [data & figures]

description: Data of achieved accuracies of numerically approximated Calabi-Yau metrics as presented in the associated paper "CYJAX: A package for Calabi-Yau metrics with JAX" [2211.12520].
DOI: 10.5281/zenodo.7732542
title: Copper Carbazole Diphosphonate

description: <em><strong>CAU-37-as</strong></em> The following submission contains the data collection and processing for the sample CAU-37-as in the framework of the publication: <strong>Synthesis and Structure Evolution in Metal Carbazole Diphosphonates Followed by Electron Diffraction</strong>. Felix Steinke, Laura Gemmrich Hernandéz, Stephen J. I. Shearan, Maxi Pohlmann, Marco Taddei, Ute Kolb, and Norbert Stock. Inorganic Chemistry 2023 62 (1), 35-42. Precession Electron Diffraction (PED) was used to collect the dataset on the target crystal. The dataset was processed with PETS2 and eADT software. The table below summarizes the data collection parameters for the dataset. <strong>General information:</strong> Project NanED (www.naned.eu) ESR Project ESR8 Project Label CAU-37 Sample Label CAU-37-as Data set Label CuDPC_Cry5 <strong>Instrumental:</strong> Instrument FEI TECNAI F30 STWIN Radiation source FEG Accelerating voltage 300 kV Wavelength 0.0197 Å Probe Type Nanodiffraction Beam Diameter 200nm Beam Convergence Semi-parallel beam Detector US4000 - CCD camera GATAN (16-bit) (bottom mounted) Number of pixels in the image 2048 x 2048 Pixel size 15 µm x 15 µm Camera Length / Effective Camera Length 1500 mm / 1500 mm Calibration constant (not corrected for Effective Camera length) 0.00074 Å<sup>-1</sup>/pixel Hardware Binning 2 <strong>Sample description:</strong> Name CAU-37-as Chemical composition [Cu<sub>2</sub>(H<sub>2</sub>O)<sub>2</sub>(L)]∙2H<sub>2</sub>O] 3,6-diphosphono-9H-carbazole (H<sub>4</sub>L) Sample source Synthesized Sample preparation Grinded in an Agatha mortar and suspended in 1ml of EtOH. 4 µL of the suspension were dropped with a pipette on the carbon side of a carbon-coated copper grid (300 mesh). <strong>Experimental:</strong> Data Type Electron diffraction data - 3D ED Data collection method Precession Temperature (K) used during data collection 293 K Number of crystals contributing to the data set 1 Number of experimental frames 121 tilt range, tilt step, tilt per frame -60° to +60°, 1°, 0° Precession angle 1° Exposure time per frame 4 s <strong>Software:</strong> Software used for the data collection Gatan Digital Micrograph software Software used for processing PETS2 and eADT <strong>Authorship and bibliography</strong> Author(s) of the data Laura Gemmrich Hernández (ESR8) Related data CAU-37-act & CAU-57 Publication(s) https://doi.org/10.1021/acs.inorgchem.2c02599 <strong>Files and data formats</strong> Image folder img: Folder containing images of the diffraction pattern from each frame. Image format tiff_16bit_unsigned
DOI: 10.5281/zenodo.7732543
title: Copper Carbazole Diphosphonate

description: <em><strong>CAU-37-as</strong></em> The following submission contains the data collection and processing for the sample CAU-37-as in the framework of the publication: <strong>Synthesis and Structure Evolution in Metal Carbazole Diphosphonates Followed by Electron Diffraction</strong>. Felix Steinke, Laura Gemmrich Hernandéz, Stephen J. I. Shearan, Maxi Pohlmann, Marco Taddei, Ute Kolb, and Norbert Stock. Inorganic Chemistry 2023 62 (1), 35-42. Precession Electron Diffraction (PED) was used to collect the dataset on the target crystal. The dataset was processed with PETS2 and eADT software. The table below summarizes the data collection parameters for the dataset. <strong>General information:</strong> Project NanED (www.naned.eu) ESR Project ESR8 Project Label CAU-37 Sample Label CAU-37-as Data set Label CuDPC_Cry5 <strong>Instrumental:</strong> Instrument FEI TECNAI F30 STWIN Radiation source FEG Accelerating voltage 300 kV Wavelength 0.0197 Å Probe Type Nanodiffraction Beam Diameter 200nm Beam Convergence Semi-parallel beam Detector US4000 - CCD camera GATAN (16-bit) (bottom mounted) Number of pixels in the image 2048 x 2048 Pixel size 15 µm x 15 µm Camera Length / Effective Camera Length 1500 mm / 1500 mm Calibration constant (not corrected for Effective Camera length) 0.00074 Å<sup>-1</sup>/pixel Hardware Binning 2 <strong>Sample description:</strong> Name CAU-37-as Chemical composition [Cu<sub>2</sub>(H<sub>2</sub>O)<sub>2</sub>(L)]∙2H<sub>2</sub>O] 3,6-diphosphono-9H-carbazole (H<sub>4</sub>L) Sample source Synthesized Sample preparation Grinded in an Agatha mortar and suspended in 1ml of EtOH. 4 µL of the suspension were dropped with a pipette on the carbon side of a carbon-coated copper grid (300 mesh). <strong>Experimental:</strong> Data Type Electron diffraction data - 3D ED Data collection method Precession Temperature (K) used during data collection 293 K Number of crystals contributing to the data set 1 Number of experimental frames 121 tilt range, tilt step, tilt per frame -60° to +60°, 1°, 0° Precession angle 1° Exposure time per frame 4 s <strong>Software:</strong> Software used for the data collection Gatan Digital Micrograph software Software used for processing PETS2 and eADT <strong>Authorship and bibliography</strong> Author(s) of the data Laura Gemmrich Hernández (ESR8) Related data CAU-37-act & CAU-57 Publication(s) https://doi.org/10.1021/acs.inorgchem.2c02599 <strong>Files and data formats</strong> Image folder img: Folder containing images of the diffraction pattern from each frame. Image format tiff_16bit_unsigned
DOI: 10.5281/zenodo.7732546
title: Zinc Carbazole Diphosphonate

description: <em><strong>CAU-57</strong></em> The following submission contains the data collection and processing for the sample CAU-57 in the framework of the publication: <strong>Synthesis and Structure Evolution in Metal Carbazole Diphosphonates Followed by Electron Diffraction</strong>. Felix Steinke, Laura Gemmrich Hernandéz, Stephen J. I. Shearan, Maxi Pohlmann, Marco Taddei, Ute Kolb, and Norbert Stock. Inorganic Chemistry 2023 62 (1), 35-42. Precession Electron Diffraction (PED) was used to collect the dataset on the target crystal. The dataset was processed with PETS2 and eADT software. The table below summarizes the data collection parameters for the dataset. <strong>General information:</strong> Project NanED (www.naned.eu) ESR Project ESR8 Project Label CAU-57 Sample Label CAU-57 Data set Label ZnDPC_Cry7 <strong>Instrumental:</strong> Instrument FEI TECNAI F30 STWIN Radiation source FEG Accelerating voltage 300 kV Wavelength 0.0197 Å Probe Type Nanodiffraction Beam Diameter 200nm Beam Convergence Semi-parallel beam Detector US4000 - CCD camera GATAN (16-bit) (bottom mounted) Number of pixels in the image 2048 x 2048 Pixel size 15 µm x 15 µm Camera Length / Effective Camera Length 1500 mm / 1500 mm Calibration constant (not corrected for Effective Camera length) 0.00074 Å<sup>-1</sup>/pixel Hardware Binning 2 <strong>Sample description:</strong> Name CAU-57 Chemical composition [Zn<sub>6.75</sub>(H<sub>2</sub>O)<sub>1.5</sub>(HL)<sub>2.5</sub>(L)<sub>1.5</sub>]∙8H<sub>2</sub>O 3,6-diphosphono-9H-carbazole (H<sub>4</sub>L) Sample source Synthesized Sample preparation Grinded in an Agatha mortar and suspended in 1ml of EtOH. 4 µL of the suspension were dropped with a pipette on the carbon side of a carbon-coated copper grid (300 mesh). <strong>Experimental:</strong> Data Type Electron diffraction data - 3D ED Data collection method Precession Temperature (K) used during data collection 293 K Number of crystals contributing to the data set 1 Number of experimental frames 106 tilt range, tilt step, tilt per frame -45° to +60°, 1°, 0° Precession angle 1° Exposure time per frame 4 s <strong>Software:</strong> Software used for the data collection Gatan Digital Micrograph software Software used for processing PETS2 and eADT <strong>Authorship and bibliography</strong> Author(s) of the data Laura Gemmrich Hernández (ESR8) Related data CAU-37-as & CAU-37-act Publication(s) https://doi.org/10.1021/acs.inorgchem.2c02599 <strong>Files and data formats</strong> Image folder img: Folder containing images of the diffraction pattern from each frame. Image format tiff_16bit_unsigned