cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.22323745.v1
title: Raw data - Renal Microvascular Compartment-Specific MicroRNA Changes in Response to Sepsis

description: Raw data of the manuscript "Renal Microvascular Compartment-Specific MicroRNA Changes in Response to Sepsis" is included. Types of included data are - NDPI files showing in situ hybridisation in mouse kidney - Differential expression analysis data from small RNA sequencing - Raw CT values of all included RT-qPCRs - Mouse plasma ELISA data - Flow cytometry data - HUVEC - Cell supernatant ELISA data - HUVEC - Uncropped immunoblots - HUVEC
DOI: 10.57745/mgtxvw
title: sand_properties.tab

description: :unav
DOI: 10.5281/zenodo.7763151
title: Hyperspectral Imaging dataset for use in Heritage Science

description: The following data sets were collected to support the potential uses of opensource data in the context of digital humanities and heritage sciences. This proposed experiment is conducted by the UCL Institute for Sustainable Heritage in collaboration with the Centre for Digital Humanities. Imaging methods including Photography, Multispectral Imaging, Hyperspectral Imaging and Xray Fluorescence Mapping have been collected along with the complete readout metadata of the instrumentation. We hope that you find the data helpful, and we welcome you to use the data in any way you wish, for all and any analysis development purposes. For us to build upon this research, we ask that in return you would be willing to share in some regard your experiences in using open-source data, using our data, successes and issues. If you would be willing to engage with us in this endeavor, please feel free to contact us so that we may be able to follow up with you. Other Data sets available Here E: molly.fort.21@ucl.ac.uk Object Paradata; <strong>Postcard – c. Early 1900's </strong> <strong>Language – Eng. </strong> <strong>Materials – colour print on card, metallic leafing. </strong> <strong>Front transcription - </strong> <strong> ‘Greetings’ </strong> <strong> ‘May your Birthday bring you Peace & perfect Happiness, Golden hopes & Love of Friends, And every Happiness this world can send.’ </strong> <strong>Object Dimensions – 138mm X 88mm </strong> The postcard is an item of ephemera donated to the UCLDH Digitisation Suite by Prof Melissa Terras, for teaching and training purposes in 2015. This folder contains: Hyperspectral Image data collected using a ClydeHSI VNIR-HR+ Hyperspectral Imaging System. Images captured : 477x484 pixel, 304 spectral band images, 4*4 pixel binning *.hdr - Header file read out from the ClydeHSI systems instructions for reading the subsequent .raw spectral database. *.raw - Hyperspectral image data cube information. Combination with hdr file creates a ENVI file format, this can be read into a variety of image analysis software packages. postcardhsi.ini - Metadata collected and read out from ClydeHSI system. Dark/White.corr - Correction files taken from camera for processing and minimalising system noise and illumination variences. *_refl.* - Pre - Corrected hyperspectral image data, using provided ClydeHSI software. Truecolour RGB reference image Each raw and header file set makes-up a single data set in ENVI file format. ENVI reading support exists in Python, R, Matlab, and other common image analysis packages.
DOI: 10.5281/zenodo.7292287
title: Hyperspectral Imaging dataset for use in Heritage Science

description: The following data sets were collected to support the potential uses of opensource data in the context of digital humanities and heritage sciences. This proposed experiment is conducted by the UCL Institute for Sustainable Heritage in collaboration with the Centre for Digital Humanities. Imaging methods including Photography, Multispectral Imaging, Hyperspectral Imaging and Xray Fluorescence Mapping have been collected along with the complete readout metadata of the instrumentation. We hope that you find the data helpful, and we welcome you to use the data in any way you wish, for all and any analysis development purposes. For us to build upon this research, we ask that in return you would be willing to share in some regard your experiences in using open-source data, using our data, successes and issues. If you would be willing to engage with us in this endeavor, please feel free to contact us so that we may be able to follow up with you. Other Data sets available Here E: molly.fort.21@ucl.ac.uk Object Paradata; <strong>Postcard – c. Early 1900's </strong> <strong>Language – Eng. </strong> <strong>Materials – colour print on card, metallic leafing. </strong> <strong>Front transcription - </strong> <strong> ‘Greetings’ </strong> <strong> ‘May your Birthday bring you Peace & perfect Happiness, Golden hopes & Love of Friends, And every Happiness this world can send.’ </strong> <strong>Object Dimensions – 138mm X 88mm </strong> The postcard is an item of ephemera donated to the UCLDH Digitisation Suite by Prof Melissa Terras, for teaching and training purposes in 2015. This folder contains: Hyperspectral Image data collected using a ClydeHSI VNIR-HR+ Hyperspectral Imaging System. Images captured : 477x484 pixel, 304 spectral band images, 4*4 pixel binning *.hdr - Header file read out from the ClydeHSI systems instructions for reading the subsequent .raw spectral database. *.raw - Hyperspectral image data cube information. Combination with hdr file creates a ENVI file format, this can be read into a variety of image analysis software packages. postcardhsi.ini - Metadata collected and read out from ClydeHSI system. Dark/White.corr - Correction files taken from camera for processing and minimalising system noise and illumination variences. *_refl.* - Pre - Corrected hyperspectral image data, using provided ClydeHSI software. Truecolour RGB reference image Each raw and header file set makes-up a single data set in ENVI file format. ENVI reading support exists in Python, R, Matlab, and other common image analysis packages.
DOI: 10.57745/2egik6
title: kiln2_beech_127_RTDmodel.tab

description: :unav
DOI: 10.57745/jy0v7r
title: kiln2_beech_127_data.tab

description: :unav
DOI: 10.57745/xi9qzt
title: kiln2_beech_127_parameters.tab

description: :unav
DOI: 10.57745/m3xcbh
title: kiln2_beech_128_data.tab

description: :unav
DOI: 10.57745/5i7yeu
title: kiln2_beech_130_data.tab

description: :unav
DOI: 10.57745/ucwvke
title: kiln2_beech_131_data.tab

description: :unav
DOI: 10.57745/2b7a8v
title: kiln2_beech_134_data.tab

description: :unav
DOI: 10.57745/rzbt69
title: kiln2_beech_129_data.tab

description: :unav
DOI: 10.57745/7udqhy
title: kiln2_beech_133_data.tab

description: :unav
DOI: 10.57745/z79y9w
title: kiln2_beech_132_data.tab

description: :unav
DOI: 10.57745/zux4pj
title: kiln2_beech_137_data.tab

description: :unav
DOI: 10.57745/sjttwh
title: kiln2_beech_138_data.tab

description: :unav
DOI: 10.57745/ayc08r
title: kiln2_beech_135_data.tab

description: :unav
DOI: 10.57745/93eiik
title: kiln2_beech_139_data.tab

description: :unav
DOI: 10.57745/vda7ol
title: kiln2_beech_136_data.tab

description: :unav
DOI: 10.57745/2ogijd
title: kiln2_beech_145_data.tab

description: :unav
DOI: 10.57745/w4uy1w
title: kiln2_beech_142_data.tab

description: :unav
DOI: 10.57745/nr3h8n
title: kiln2_beech_146_data.tab

description: :unav
DOI: 10.57745/xp6dph
title: kiln2_beech_143_data.tab

description: :unav
DOI: 10.57745/thjldf
title: kiln2_beech_141_data.tab

description: :unav
DOI: 10.57745/wkor2q
title: kiln2_beech_140_data.tab

description: :unav
DOI: 10.57745/z6ddaa
title: kiln2_beech_144_data.tab

description: :unav
DOI: 10.57745/6bvui5
title: kiln2_beech_150_data.tab

description: :unav
DOI: 10.57745/ftdmqd
title: kiln2_beech_153_data.tab

description: :unav
DOI: 10.57745/h2bpk8
title: kiln2_beech_152_data.tab

description: :unav
DOI: 10.57745/kzqmqx
title: kiln2_beech_147_data.tab

description: :unav
DOI: 10.57745/keh8mn
title: kiln2_beech_149_data.tab

description: :unav
DOI: 10.57745/zfftyi
title: kiln2_beech_148_data.tab

description: :unav
DOI: 10.57745/vitiou
title: kiln2_beech_151_data.tab

description: :unav
DOI: 10.57745/ydbpxi
title: kiln2_beech_159_data.tab

description: :unav
DOI: 10.57745/vu0w3t
title: kiln2_beech_160_data.tab

description: :unav
DOI: 10.57745/maar71
title: kiln2_beech_155_data.tab

description: :unav
DOI: 10.57745/ayev43
title: kiln2_beech_158_data.tab

description: :unav
DOI: 10.57745/hn8fgv
title: kiln2_beech_156_data.tab

description: :unav
DOI: 10.57745/ew1cy5
title: kiln2_beech_154_data.tab

description: :unav
DOI: 10.57745/9hpisk
title: kiln2_beech_157_data.tab

description: :unav
DOI: 10.57745/h12bvc
title: kiln2_beech_132_parameters.tab

description: :unav
DOI: 10.57745/r90s7j
title: kiln2_beech_141_parameters.tab

description: :unav
DOI: 10.57745/vkgldw
title: kiln2_beech_148_parameters.tab

description: :unav
DOI: 10.57745/f2hikr
title: kiln2_beech_134_parameters.tab

description: :unav
DOI: 10.57745/88k7nv
title: kiln2_beech_131_parameters.tab

description: :unav
DOI: 10.57745/19rwza
title: kiln2_beech_147_parameters.tab

description: :unav
DOI: 10.57745/jegslf
title: kiln2_beech_149_parameters.tab

description: :unav
DOI: 10.57745/og5sa6
title: kiln2_beech_130_parameters.tab

description: :unav
DOI: 10.57745/ustxo7
title: kiln2_beech_157_parameters.tab

description: :unav
DOI: 10.57745/8ziuz5
title: kiln2_beech_144_parameters.tab

description: :unav
DOI: 10.57745/vemfal
title: kiln2_beech_135_parameters.tab

description: :unav
DOI: 10.57745/dritdd
title: kiln2_beech_142_parameters.tab

description: :unav
DOI: 10.57745/otcqfn
title: kiln2_beech_133_parameters.tab

description: :unav
DOI: 10.57745/dgabbr
title: kiln2_beech_151_parameters.tab

description: :unav
DOI: 10.57745/rmnzmp
title: kiln2_beech_154_parameters.tab

description: :unav
DOI: 10.57745/2v8q02
title: kiln2_beech_150_parameters.tab

description: :unav
DOI: 10.57745/yjebxh
title: kiln2_beech_138_parameters.tab

description: :unav
DOI: 10.57745/roymsp
title: kiln2_beech_136_parameters.tab

description: :unav
DOI: 10.57745/tejdiz
title: kiln2_beech_160_parameters.tab

description: :unav
DOI: 10.57745/vph9oj
title: kiln2_beech_128_parameters.tab

description: :unav
DOI: 10.57745/pyeszz
title: kiln2_beech_153_parameters.tab

description: :unav
DOI: 10.57745/qpj1zb
title: kiln2_beech_152_parameters.tab

description: :unav
DOI: 10.57745/rj6w07
title: kiln2_beech_137_parameters.tab

description: :unav
DOI: 10.57745/snfdkb
title: kiln2_beech_155_parameters.tab

description: :unav
DOI: 10.57745/eirkqc
title: kiln2_beech_159_parameters.tab

description: :unav
DOI: 10.57745/1vh4mm
title: kiln2_beech_145_parameters.tab

description: :unav
DOI: 10.57745/cp5ilx
title: kiln2_beech_156_parameters.tab

description: :unav
DOI: 10.57745/0mvesd
title: kiln2_beech_129_parameters.tab

description: :unav
DOI: 10.57745/ldtloc
title: kiln2_beech_158_parameters.tab

description: :unav
DOI: 10.57745/hmmwll
title: kiln2_beech_143_parameters.tab

description: :unav
DOI: 10.57745/wkao3u
title: kiln2_beech_140_parameters.tab

description: :unav
DOI: 10.57745/4txtsk
title: kiln2_beech_146_parameters.tab

description: :unav
DOI: 10.57745/q29l96
title: kiln2_beech_139_parameters.tab

description: :unav
DOI: 10.57745/zokpz5
title: kiln2_beech_158_RTDmodel.tab

description: :unav
DOI: 10.57745/nsbb3k
title: kiln2_beech_152_RTDmodel.tab

description: :unav
DOI: 10.57745/nrhr8p
title: kiln2_beech_153_RTDmodel.tab

description: :unav
DOI: 10.57745/jftfxf
title: kiln2_beech_151_RTDmodel.tab

description: :unav
DOI: 10.57745/dvsjyo
title: kiln2_beech_155_RTDmodel.tab

description: :unav
DOI: 10.57745/qmai3a
title: kiln2_beech_157_RTDmodel.tab

description: :unav
DOI: 10.57745/bdrzsn
title: kiln2_beech_154_RTDmodel.tab

description: :unav
DOI: 10.57745/ljmfm9
title: kiln2_beech_160_RTDmodel.tab

description: :unav
DOI: 10.57745/ivroyq
title: kiln2_beech_156_RTDmodel.tab

description: :unav
DOI: 10.57745/osohva
title: kiln2_beech_159_RTDmodel.tab

description: :unav
DOI: 10.57745/txu6g7
title: kiln2_beech_149_RTDmodel.tab

description: :unav
DOI: 10.57745/9yfaec
title: kiln2_beech_147_RTDmodel.tab

description: :unav
DOI: 10.57745/76jpvi
title: kiln2_beech_145_RTDmodel.tab

description: :unav
DOI: 10.57745/94omqm
title: kiln2_beech_143_RTDmodel.tab

description: :unav
DOI: 10.57745/itcz5h
title: kiln2_beech_141_RTDmodel.tab

description: :unav
DOI: 10.57745/jsbhuf
title: kiln2_beech_144_RTDmodel.tab

description: :unav
DOI: 10.57745/xlglkc
title: kiln2_beech_150_RTDmodel.tab

description: :unav
DOI: 10.57745/k6zlm7
title: kiln2_beech_148_RTDmodel.tab

description: :unav
DOI: 10.57745/nuimla
title: kiln2_beech_146_RTDmodel.tab

description: :unav
DOI: 10.57745/jb7qk7
title: kiln2_beech_142_RTDmodel.tab

description: :unav
DOI: 10.57745/8wesvi
title: kiln2_beech_131_RTDmodel.tab

description: :unav
DOI: 10.57745/zcqd2a
title: kiln2_beech_137_RTDmodel.tab

description: :unav
DOI: 10.57745/lqvuyd
title: kiln2_beech_129_RTDmodel.tab

description: :unav
DOI: 10.57745/xfodpq
title: kiln2_beech_135_RTDmodel.tab

description: :unav
DOI: 10.57745/pl7vgw
title: kiln2_beech_128_RTDmodel.tab

description: :unav
DOI: 10.57745/v68olj
title: kiln2_beech_132_RTDmodel.tab

description: :unav
DOI: 10.57745/hi5s2h
title: kiln2_beech_133_RTDmodel.tab

description: :unav
DOI: 10.57745/9mozx6
title: kiln2_beech_136_RTDmodel.tab

description: :unav
DOI: 10.57745/yiuzjo
title: kiln2_beech_130_RTDmodel.tab

description: :unav
DOI: 10.57745/0zmlhp
title: kiln2_beech_138_RTDmodel.tab

description: :unav
DOI: 10.57745/fnbyhn
title: kiln2_beech_139_RTDmodel.tab

description: :unav
DOI: 10.57745/bxrihw
title: kiln2_beech_134_RTDmodel.tab

description: :unav
DOI: 10.57745/smvb0j
title: kiln2_beech_140_RTDmodel.tab

description: :unav
DOI: 10.5281/zenodo.7763073
title: Data part of the manuscript Anaerobic methanotrophy is stimulated by graphene oxide in a brackish urban canal sediment

description: We surveyed three canals in the city of Amsterdam (Netherlands) for it methane emissions and potential to filter methane through anaerobic oxidation of methane in the canal sediment. To unravel the mechanisms involved we characterised the sediment geochemically. All data present in the manuscript is available in the Excel file.
DOI: 10.5281/zenodo.7763072
title: Data part of the manuscript Anaerobic methanotrophy is stimulated by graphene oxide in a brackish urban canal sediment

description: We surveyed three canals in the city of Amsterdam (Netherlands) for it methane emissions and potential to filter methane through anaerobic oxidation of methane in the canal sediment. To unravel the mechanisms involved we characterised the sediment geochemically. All data present in the manuscript is available in the Excel file.
DOI: 10.6084/m9.figshare.22242208.v1
title: Supplementary Material for: A giant paratesticular liposarcoma, case report and literature review

description: Liposarcoma of the spermatic cord (LSC) is a very rare disease. In literature, are reported less than 350 cases. Genitourinary sarcomas account for &lt;5% of all soft-tissue sarcomas and &lt;2% of malignant urologic tumors. An inguinal mass is the clinical presentation, which can mimic a hernia or hydrocele. Since it is such a rare disease, there are insufficient data on chemotherapy and radiotherapy, and in any case, the data comes from low-level scientific evidence. Here we report the case of a patient who came to the observation for a giant inguinal mass, in which a definitive diagnosis was obtained with the histological examination.
DOI: 10.57745/2pdjjb
title: kiln1_sand_055_parameters.tab

description: :unav
DOI: 10.57745/1phjmj
title: kiln1_sand_055_RTDmodel.tab

description: :unav
DOI: 10.57745/fy0dvt
title: kiln1_sand_055_data.tab

description: :unav
DOI: 10.57745/wdgia6
title: kiln1_sand_061_parameters.tab

description: :unav
DOI: 10.57745/a6ihzp
title: kiln1_sand_060_parameters.tab

description: :unav
DOI: 10.57745/gnkrri
title: kiln1_sand_057_parameters.tab

description: :unav
DOI: 10.57745/vxzuyz
title: kiln1_sand_063_parameters.tab

description: :unav
DOI: 10.57745/ijim7y
title: kiln1_sand_059_parameters.tab

description: :unav
DOI: 10.57745/lsyiot
title: kiln1_sand_065_parameters.tab

description: :unav
DOI: 10.57745/ezl9jk
title: kiln1_sand_056_parameters.tab

description: :unav
DOI: 10.57745/9haktx
title: kiln1_sand_064_parameters.tab

description: :unav
DOI: 10.57745/bsws38
title: kiln1_sand_058_parameters.tab

description: :unav
DOI: 10.5281/zenodo.10364308
title: Agricultural Mitigation Initiatives

description: This dataset is an ongoing effort to explore the main international mitigation initiatives related to the agrarian sector. The dataset has been created by a research team based at the Geneva Graduate Institute since 2020 based on studies of the sector, conversations with experts and internet searches. The internet search has been conducted using key words, including notions such as:

Climate change mitigation initiatives/projects/programs/campaigns
netzero
nature based solutions
natural capital
ecosystem services
carbon market initiatives
low carbon agriculture
afforestation initiatives
Soil carbon initiatives
Paludiculture initiatives
Land use change and climate change mitigation
Findings have been narrowed down to include only initiatives directly or indirectly related to the agrarian sector. These included netzero campaigns, climate action coalitions, national mitigation programs, non-governmental projects and other mitigation initiatives. Many of the findings were interconnected. For example, a mitigation initiative could be part of a wider mitigation program or coalition. We have therefore tried to reflect these interconnections in the structure of the dataset. For each entry we also included a description with the main characteristics of the entry (coalition, campaign, program or project) the main thematic of the entry and the main actors involved. The main thematic found were:

carbon sequestration in soils
advocacy for action
food systems transformations (climate smart agriculture)
Land use management
natural capital initiatives
carbon accounting standards
biodiversity conservation and restoration
technical guidelines for GHGs emission reductions in agriculture
dissemination
ecosystems' accounting
pollution and waste reduction
The dataset also includes a second spreadsheet where we have started to map some of the actors of the carbon market involved in the development, certification, validation and verification of GHGs emission reductions and removals for agrarian initiatives.
DOI: 10.5281/zenodo.10364309
title: Agricultural Mitigation Initiatives

description: This dataset is an ongoing effort to explore the main international mitigation initiatives related to the agrarian sector. The dataset has been created by a research team based at the Geneva Graduate Institute since 2020 based on studies of the sector, conversations with experts and internet searches. The internet search has been conducted using key words, including notions such as:

Climate change mitigation initiatives/projects/programs/campaigns
netzero
nature based solutions
natural capital
ecosystem services
carbon market initiatives
low carbon agriculture
afforestation initiatives
Soil carbon initiatives
Paludiculture initiatives
Land use change and climate change mitigation
Findings have been narrowed down to include only initiatives directly or indirectly related to the agrarian sector. These included netzero campaigns, climate action coalitions, national mitigation programs, non-governmental projects and other mitigation initiatives. Many of the findings were interconnected. For example, a mitigation initiative could be part of a wider mitigation program or coalition. We have therefore tried to reflect these interconnections in the structure of the dataset. For each entry we also included a description with the main characteristics of the entry (coalition, campaign, program or project) the main thematic of the entry and the main actors involved. The main thematic found were:

carbon sequestration in soils
advocacy for action
food systems transformations (climate smart agriculture)
Land use management
natural capital initiatives
carbon accounting standards
biodiversity conservation and restoration
technical guidelines for GHGs emission reductions in agriculture
dissemination
ecosystems' accounting
pollution and waste reduction
The dataset also includes a second spreadsheet where we have started to map some of the actors of the carbon market involved in the development, certification, validation and verification of GHGs emission reductions and removals for agrarian initiatives.
DOI: 10.5517/ccdc.csd.cc2ffy61
title: CCDC 2247723: Experimental Crystal Structure Determination

description: Related Article: Yu Qian, Jie Tang, Xiaoyu Zhou, Jian Luo, Xiaoyan Yang, Zhuofeng Ke, Wenhao Hu|2023|J.Am.Chem.Soc.|145|26403|doi:10.1021/jacs.3c10460
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2ffy94
title: CCDC 2247726: Experimental Crystal Structure Determination

description: Related Article: Yu Qian, Jie Tang, Xiaoyu Zhou, Jian Luo, Xiaoyan Yang, Zhuofeng Ke, Wenhao Hu|2023|J.Am.Chem.Soc.|145|26403|doi:10.1021/jacs.3c10460
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.57967/hf/1454
title: code-monetaire-financier
DOI: 10.57967/hf/1455
title: code-assurances
DOI: 10.14272/osaxflpfgdhqqt-uhfffaoysa-n.1
title: C14H16N2O3S
title: InChI=1S/C14H16N2O3S/c1-4-19-12-11(14(17)16(2)18-3)20-13(15-12)10-8-6-5-7-9-10/h5-9H,4H2,1-3H3

description: This is a physical chemical entity[CHEBI_24431] associated with a molecule[CHEBI_25367].
 The molecule[CHEBI_25367] can be described by the following structural desciptors[cheminf_000085]:
 InChI descriptor[cheminf_000113]: InChI=1S/C14H16N2O3S/c1-4-19-12-11(14(17)16(2)18-3)20-13(15-12)10-8-6-5-7-9-10/h5-9H,4H2,1-3H3, and canonical SMILES descriptor[cheminf_000007]: CCOc1nc(sc1C(=O)N(OC)C)c1ccccc1, and by the IUPAC name[cheminf_000107]: .
 
 The physical chemical entity[CHEBI_24431] has a component solvent[CHEBI_46787] which is described by the canonical SMILES descriptor[cheminf_000007]:
 
 The physical chemical entity[CHEBI_24431] has the following Sample ID as registered in the research data repository chemotion (www.chemotion-repository.net, https://doi.org/10.25504/FAIRsharing.iagXcR): CRS-36668

 The physical chemical entity[CHEBI_24431] can be described by the physical descriptors [CHEMINF_000025]:
 Melting point descriptor[CHEMINF_000256]: 
 Boiling point descriptor[CHEMINF_000257]: 
 Refractive index descriptor[CHEMINF_000253]:

 The physical chemical entity[CHEBI_24431] can be further described by the following assays[OBI:0000070][CHMO:0001133]:
 
 CHMO:0000593 | 1H nuclear magnetic resonance spectroscopy (1H NMR)
 
 CHMO:0000595 | 13C nuclear magnetic resonance spectroscopy (13C NMR)
 
 CHMO:0000630 | infrared absorption spectroscopy (IR)
 
 CHMO:0000287 | fluorescence spectroscopy (fluorimetry)
 
 CHMO:0000292 | ultraviolet-visible spectrophotometry (UV-VIS)
 
 CHMO:0000796 | high-performance liquid chromatography-mass spectrometry (HPLC-MS)
 
 The physical chemical entity[CHEBI_24431] was deposited to the Molecule Archive of the Karlsruhe Insitute of Technology (KIT) with the following Sample ID: 

 Used ontologies:
 CHEBI - Chemical Entities of Biological Interest
 CHEMINF - chemical information ontology (information entities about chemical entities)
 CHMO - Chemical Methods Ontology
 OBI - Ontology for Biomedical Investigations