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88 results for “FTIR”
A multi-method (FTIR, XRD, PXRF) analysis of Ertebølle pottery ceramics from Scania, southern Sweden
<p>Geochemical analysis data of Late Mesolithic (Ertebølle) pottery ceramics from Scania, southern Sweden</p>
FTIR Data
Open the record for dataset details and reuse information.
Raw FTIR and colour data for Lagore Ireland
<p>Raw FTIR & colour data from: ''<strong><span>Life, Death and Environment at Lagore Crannog: parasites, land-use and a royal residence in later prehistoric and early medieval Ireland'' Journal of archaeological science</span></strong></p>
FIGURE 1 in Fourier transform infrared spectroscopy (FTIR) characteristics of ancient amber artifacts of the Han Dynasty from Hunan, China
FIGURE 1. Possible ancient trade roadmap of both the Eurasian Steppe Silk Road and the Maritime Silk Road. 1, the present Capital, Beijing; 2, the ancient Capital city during the Han Dynasty, Xi'an, Shaanxi Province; 3, Nanyang, Henan Province, where unearthed artifacts of Han Dynasty made by Burmese amber (Chen et al., 2019); 4, Tomb Changchen M010, Changsha, Hunan Province; 5, Tomb Chentie M001, Chenzhou, Hunan Province.
FIGURE 3 in Fourier transform infrared spectroscopy (FTIR) characteristics of ancient amber artifacts of the Han Dynasty from Hunan, China
FIGURE 3. FTIR spectra of amber samples. A, SYS20220716-1. B, SYS20020716-2. C, SYS20220716-4. D, SYS20220716-5.
Hefei FTIR datasets
<p>Ground-based high resolution FTIR observations of pollution/greenhouse gases at the Hefei station</p>
Raw FTIR Data for retraction of: An Eocene army ant
<p><span>This dataset is related to a retraction of a published Biology Letters article, Sosiak et al. 2022, entitled "An Eocene Army Ant" (<a href="https://doi.org/10.1098/rsbl.2022.0398">https://doi.org/10.1098/rsbl.2022.0398</a></span><span>). Shortly after publication of Sosiak et al. (2022), we received reports from two readers of historical collections </span><span>comprising specimens similar in appearance to the one we reported in our initial article. These historic collections were originally mislabeled and were more recently revealed to be much younger sub-fossil resins (copal); both of these collections were also established roughly around the same timeframe (1920–1930s) associated with the museum specimen from Sosiak et al. (2022). This prompted us to investigate the provenance of the specimen reported in Sosiak et al. (2022) via FTIR spectroscopy. Our spectroscopic analysis did not recover a unique characteristic signature of Baltic amber and confirms that </span><span>the specimen we initially reported is not Baltic amber but instead most probably sub-fossil copal. These data comprise the raw FTIR spectroscopic data we used to generate Figure 1 in the retraction as well as the R code underpinning that figure. </span></p>
Assessment of Subsampling Schemes for Compressive Nano-FTIR Imaging: Underlying Dataset
<p>The dataset in this publication is related to the following Publication:</p> <p>Metzner, S., Kästner, B., Marschall, M., Wubbeler, G., Wundrack, S., Bakin, A., Hoehl, A., Ruhl, E., & Elster, C. (2022).<br> Assessment of Subsampling Schemes for Compressive Nano-FTIR Imaging.<br> <em>IEEE Transactions on Instrumentation and Measurement</em>, <em>71</em>, 1–8.<br> https://doi.org/10.1109/TIM.2022.3204072</p> <p>It contains the underlying code and the data for generating the figures.</p>
FTIR Figures for pemetrexed, PEG, GABA, physical mixture of pemetrexed with PEG, physical mixture of pemetrexed with GABA, pemetrexed-PEG conjugate, and pemetrexed-GABA conjugate
<p>This file represent FTIR Figures for pemetrexed, PEG, GABA, physical mixture of pemetrexed with PEG, physical mixture of pemetrexed with GABA, pemetrexed-PEG conjugate, and pemetrexed-GABA conjugate</p>
Isolation, identification, and structure elucidation of Beta-sitosterol from Iraqi Plantago major using GC-MS, HPTLC, NMR, and FTIR
<p><strong>Isolation, identification, and structure elucidation of Beta-sitosterol from Iraqi <em>Plantago major</em></strong> <strong>using GC-MS, HPTLC, NMR, and FTIR</strong></p>
Supplement to: Isolation, identification, and structure elucidation of beta-sitosterol from Iraqi Plantago major using GC-MS, HPTLC, NMR, and FTIR
<p>Supplement to: Isolation, identification, and structure elucidation of beta-sitosterol from Iraqi Plantago major using GC-MS, HPTLC, NMR, and FTIR</p>
Impact of Fourier Transform Infrared Spectroscopy (FTIRS) in ICUs
ClinicalTrials.gov study NCT05872152. IPD Sharing: NO. Countries: 1. Publications: 5.
Endometriosis and ATR-FTIR Spectroscopy
ClinicalTrials.gov study NCT06426420. IPD Sharing: NO. Countries: 1. Publications: 0.
Charts of TGA and FTIR of biopolemers and their resulted AgNPs
Open the record for dataset details and reuse information.
Raw FTIR Data for retraction of: An Eocene army ant
Open the record for dataset details and reuse information.
EMPA, temperature-dependent Raman, FTIR data and breakdown temperature of phlogopite
<p>This dataset contains all new data corresponding to figures in the manuscript and the supporting information, including EMPA, temperature-dependent FTIR, Raman data, and breakdown temperature from previous studies and this study.</p>
EMPA, temperature-dependent Raman, FTIR data and breakdown temperature of phlogopite
<p>This dataset contains all new data corresponding to figures in the manuscript and the supporting information, including EMPA, temperature-dependent FTIR, Raman data, and breakdown temperature from previous studies and this study.</p>
Data from: A high-throughput FTIR spectroscopy approach to assess adaptive variation in the chemical composition of pollen
The two factors defining male reproductive success in plants are pollen quantity and quality, but our knowledge about the importance of pollen quality is limited due to methodological constraints. Pollen quality in terms of chemical composition may be either genetically fixed for high performance independent of environmental conditions, or it may be plastic to maximize reproductive output under different environmental conditions. In this study, we validated a new approach for studying the role of chemical composition of pollen in adaptation to local climate. The approach is based on high-throughput Fourier infrared (FTIR) characterization and biochemical interpretation of pollen chemical composition in response to environmental conditions. The study covered three grass species, Poa alpina, Anthoxanthum odoratum, and Festuca ovina. For each species, plants were grown from seeds of three populations with wide geographic and climate variation. Each individual plant was divided into four genetically identical clones which were grown in different controlled environments (high and low levels of temperature and nutrients). In total, 389 samples were measured using a high-throughput FTIR spectrometer. The biochemical fingerprints of pollen were species and population specific, and plastic in response to different environmental conditions. The response was most pronounced for temperature, influencing the levels of proteins, lipids, and carbohydrates in pollen of all species. Furthermore, there is considerable variation in plasticity of the chemical composition of pollen among species and populations. The use of high-throughput FTIR spectroscopy provides fast, cheap, and simple assessment of the chemical composition of pollen. In combination with controlled-condition growth experiments and multivariate analyses, FTIR spectroscopy opens up for studies of the adaptive role of pollen that until now has been difficult with available methodology. The approach can easily be extended to other species and environmental conditions and has the potential to significantly increase our understanding of plant male function.
Data from: Monitoring of plant-environment interactions by high throughput FTIR spectroscopy of pollen
Fourier transform infrared (FTIR) spectroscopy enables chemical analysis of pollen samples for plant phenotyping to study plant–environment interactions, such as influence of climate change or pathogens. However, current approach, such as microspectroscopy and attenuated total reflection spectroscopy, does not allow for high-throughput protocols. This study at hand suggests a new spectroscopic method for high-throughput characterization of pollen. Samples were measured as thin films of pollen fragments using a Bruker FTIR spectrometer with a high-throughput eXTension (HTS-XT) unit employing 384-well plates. In total, 146 pollen samples, belonging to 31 different pollen species of Fagaceae and Betulaceae and collected during three consecutive years (2012–2014) at locations in Croatia, Germany and Norway, were analysed. Critical steps in the sample preparation and measurement, such as variabilities between technical replicates, between microplates and between spectrometers, were studied. Measurement variations due to sample preparation, microplate holders and instrumentation were low, and thus allowed differentiation of samples with respect to phylogeny and biogeography. The spectral variability for a range of Fagales species (Fagus, Quercus, Betula, Corylus, Alnus and Ostrya) showed high-species-specific differences in pollen's chemical composition due to either location or year. Statistically significant inter-annual and locational differences in the pollen spectra indicate that pollen chemical composition has high phenotypic plasticity and is influenced by local climate conditions. The variations in composition are connected to lipids, proteins, carbohydrates and sporopollenins that play crucial roles in cold and desiccation tolerance, protection against UV radiation and as material and energy reserves. The results of this study demonstrate the value of high-throughput FTIR approach for the systematic collection of data on ecosystems. The novel FTIR approach offers fast, reliable and economical screening of large number of samples by semi-automated methodology. The high-throughput approach could provide crucial understanding on plant–climate interactions with respect to biochemical variation within genera, species and populations.
Data and Code for High Throughput FTIR Analysis of Macro and Microplastics with Plate Readers
<p>Data and source code for reproducing the analysis conducted in "High Throughput FTIR Analysis of Macro and Microplastics with Plate Readers"</p><p>All materials are licensed for noncommercial purposes https://creativecommons.org/licenses/by-nc/4.0/</p><p><strong>Explanatory_Videos.zip has videos showing data collection methods. </strong></p><p><strong>HIDA_Publication.R has source code for doing data cleanup and analysis on data in database.zip. </strong></p><p><strong>databasedata.zip holds all raw and analyzed data. </strong></p><p>- ATR, Reflectance, and Transmission folders has all data used in the manuscript. In a raw (.0) and combined (export.csv) format for each of the plates analyzed (folder numbers). </p><p>- Plots folder has images of each spectrum. </p><p>- cell_information.csv has the raw ids and comments made at the time the particles were assessed. </p><p>- classes_reference_2.csv has the transformations used to standardize open specy's terms to polymer classes. </p><p>- CleanedSpectra_raw.csv has the total cleaned up database of all spectral intensities in long format. </p><p>- joined_cell_metadata.csv has the metadata for each plate well analyzed. </p><p>- library_metadata.csv has metadata for each spectrum in raw form for each particle id. </p><p>- Lisa_Plate_6.csv has the metadata from Lisa Roscher used in this study. </p><p>- Metadata_raw.csv has the conformed metadata that can be paired with the CleanedSpectra_raw.csv file. </p><p>- OpenSpecy_Classification_Baseline.csv has the particle metadata combined with Open Specy's classes identified after baseline correcting and smoothing the spectra with the standard Open Specy routine.</p><p>- OpenSpecy_Classification_Raw.csv has the particle metadata combined with Open Specy's identified classes if using the raw spectra. </p><p>- particle_spectrum_match.csv converts particle ids to their reference in the Polymer_Material_Database_AWI_V2_Win.xlsx file. </p><p>- Polymer_Material_Database_AWI_V2_Win.xlsx metadata on materials from Primpke's database. </p><p>- polymer_metadata_2.csv can be used to crosswalk polymer categories to more or less specific terminology. </p><p>- spread_os.csv is the reference database used in CleanedSpectra_raw.csv that has been spread to wide format.</p><p>- Top Correlation Data20221201-125621.csv is a download of results from Open Specy's beta tool that provides the top ids from the reference database. </p><p> </p>
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Allen Brain Atlas
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Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
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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.