cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.2578153
title: London\2008\KSK15S\CeilometerA     RawData

description: London\2008\KSK15S\CeilometerA


Type: Vaisala Ceilometer CL31 Instrument A



Files: Are Zipped by month
Internal  Filenames:

     Example A8112913.dat
    Letter: Ceilometer identifier: A
    Year:8  >>>> 2008
    Month : 11
    Date: 29
    Hour:13 (time starting)
     Format: Ascii

See Vaisala CL31 Manual
 4). Site:    
    1. Country: UK
    2. City: London
    3. Location: King’s College London (K)/ Strand Campus (S)/ King’s Building (K)   15S - 15 m S from Roof top entrance
    4. Height: Roof top


Publications 



	
Kotthaus S, CSB Grimmond 2018: Atmospheric Boundary Layer Characteristics from Ceilometer Measurements Part 1: A new method to track mixed layer height and classify clouds QJRMS https://doi.org/10.1002/qj.329 
	
Kotthaus S, E O'Connor, C Münkel, C Charlton-Perez, CSB Grimmond 2016: Recommendations for processing atmospheric backscatter profiles from Vaisala CL31 Ceilometers Atmos. Meas. Tech., 9, 3769-3791, 10.5194/amt-9-3769-2016    
	
Loridan T, CSB Grimmond, BD Offerle, DT Young, T Smith, L Järvi, F Lindberg 2011: Local-Scale Urban Meteorological Parameterization Scheme (LUMPS): longwave radiation parameterization & seasonality related developments J. of Applied Meteorology & Climatology. 50: 185-202 doi: 10.1175/2010äMC2474.1
DOI: 10.57745/8xmudr
title: N°Qualité_Nivelle_base_poisson.tab

description: :unav
DOI: 10.57745/uya0da
title: N°Qualité_Nivelle_base_poisson.tab

description: :unav
DOI: 10.57745/zhcmdh
title: N°Qualité_Nivelle_base_poisson.tab

description: :unav
DOI: 10.15468/dl.krh7ut
title: Occurrence Download

description: A dataset containing 3930 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Denmark",
 "OccurrenceStatus is Present",
 "CoordinateUncertaintyInMeters is less than 50000",
 "Year is 2020",
 "DecimalLongitude is greater than or equal to 10.05",
 "DecimalLongitude is less than or equal to 10.15",
 "DecimalLatitude is greater than or equal to 55.8",
 "DecimalLatitude is less than or equal to 55.9"
 ]
}

 The dataset includes 3930 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006604-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15016910
title: 3 Kinds of Pneumonia

description: Description:







This dataset provides a comprehensive collection of chest X-ray images representing three types of pneumonia: COVID-19 pneumonia, viral pneumonia, and bacterial 3 Kinds of Pneumonia. The dataset is curate from 15 publicly available sources and has been meticulously process to ensure high-quality, relevant data for research and development in medical imaging, AI, and machine learning applications.

The dataset comprises the following categories of X-ray images:



COVID-19 Pneumonia: 1281 X-rays

Normal (No Pneumonia): 3270 X-rays

Viral Pneumonia: 1656 X-rays

Bacterial Pneumonia: 3001 X-rays








Download Dataset









Dataset Curation Process

The initial dataset, comprising over 19,000 images, was refine using image similarity algorithms to remove duplicates, noisy images, and other defects. The Inception V3 model was employe to extract image embeddings, which were further analyze using unsupervise learning techniques to filter out images that exhibite poor quality or anomalies. Images exhibiting defects such as noise, pixelation, compression artifacts, and medical implants were systematically remove to ensure the dataset’s integrity.

Features of the Dataset



Diverse Representation: The dataset provides X-rays for three distinct types of pneumonia, offering an ideal foundation for training AI models in medical diagnostics.

Cleaned and Curated: All duplicate and faulty images have been removed, with the final dataset being subjected to quality control processes such as image clustering and manual review.

Visualization and Disease Highlighting: Tools such as Inception V3 have been utilize to visually highlight abnormalities and disease characteristics, making the dataset highly suitable for visualization-base medical research.


Common Image Defects Addressed

Throughout the dataset cleaning process, several types of image defects were identify and addressed. These include:



Noise and Pixelation: Images with significant noise and pixelation were remove to enhance clarity.

Compression Artifacts: X-rays affected by excessive compression were exclude.

Medical Implants: X-rays with visible implants that might interfere with pneumonia diagnosis were filtered out.

Washed-out Images: Images with poor contrast or exposure were eliminated.

Side View and CT Images: Non-standard views and non-X-ray images, such as CT slices, were remove.

Aspect Ratio Distortion: Cropped or zoom images that distorted the aspect ratio were correct or exclude.

Annotated Images: X-rays with visible annotations or markings were remove.


This dataset is sourced from Kaggle.
DOI: 10.5281/zenodo.15016911
title: 3 Kinds of Pneumonia

description: Description:







This dataset provides a comprehensive collection of chest X-ray images representing three types of pneumonia: COVID-19 pneumonia, viral pneumonia, and bacterial 3 Kinds of Pneumonia. The dataset is curate from 15 publicly available sources and has been meticulously process to ensure high-quality, relevant data for research and development in medical imaging, AI, and machine learning applications.

The dataset comprises the following categories of X-ray images:



COVID-19 Pneumonia: 1281 X-rays

Normal (No Pneumonia): 3270 X-rays

Viral Pneumonia: 1656 X-rays

Bacterial Pneumonia: 3001 X-rays








Download Dataset









Dataset Curation Process

The initial dataset, comprising over 19,000 images, was refine using image similarity algorithms to remove duplicates, noisy images, and other defects. The Inception V3 model was employe to extract image embeddings, which were further analyze using unsupervise learning techniques to filter out images that exhibite poor quality or anomalies. Images exhibiting defects such as noise, pixelation, compression artifacts, and medical implants were systematically remove to ensure the dataset’s integrity.

Features of the Dataset



Diverse Representation: The dataset provides X-rays for three distinct types of pneumonia, offering an ideal foundation for training AI models in medical diagnostics.

Cleaned and Curated: All duplicate and faulty images have been removed, with the final dataset being subjected to quality control processes such as image clustering and manual review.

Visualization and Disease Highlighting: Tools such as Inception V3 have been utilize to visually highlight abnormalities and disease characteristics, making the dataset highly suitable for visualization-base medical research.


Common Image Defects Addressed

Throughout the dataset cleaning process, several types of image defects were identify and addressed. These include:



Noise and Pixelation: Images with significant noise and pixelation were remove to enhance clarity.

Compression Artifacts: X-rays affected by excessive compression were exclude.

Medical Implants: X-rays with visible implants that might interfere with pneumonia diagnosis were filtered out.

Washed-out Images: Images with poor contrast or exposure were eliminated.

Side View and CT Images: Non-standard views and non-X-ray images, such as CT slices, were remove.

Aspect Ratio Distortion: Cropped or zoom images that distorted the aspect ratio were correct or exclude.

Annotated Images: X-rays with visible annotations or markings were remove.


This dataset is sourced from Kaggle.
DOI: 10.5281/zenodo.15013747
title: Traces_BLCourse
DOI: 10.5281/zenodo.2578194
title: 2008\London\SWT Weather data

description: London\ 2008\ SWT Raw Data


Data Type: Weather station


Site information: 



	
Latitude: 51.487760                               
	
Longitude: -0.091069 
	
Anemometer height: 60 m 
	
Owner: Bill Legassick, Southwark Council. Contact: Tel: 020 7525 4253 | Fax: 020 7525 5705 
	
Email: Bill.Legassick@southwark.gov.uk



Sensor information      


Sensor type                 Model                                               Date installed
Anemometer                CDL  Windset (EC8)                        1999
Rain gauge                  Campbell Scientific ARG-100           1999
Temperature probe      T107_C                                             1999
Humidity probe            HMP45A                                            1999


Files: Are Zipped 


Filenames: Weather_Data_2008.CSV


Filetype: comma delimited


Header Row:Date and Time,Battery Voltage,CR10 Temperature,Wind Direction 10 Minutes,Wind Speed 10 Minutes,Wind Gust 10 Minutes,Hourly Average Direction,Hourly Average Speed,Hourly Maximum Gust,Hourly Gust Time,Hourly Gust Direction,Last Minute Average Temperature,Total Hourly Rain,Average RH over previous minute,Maximum Hourly Air Temperature,Minimum Hourly Air Temperature,Maximum Hourly Rainfall Rate,Time of Rainfall


Data: hourly averages
DOI: 10.5281/zenodo.2578195
title: 2008\London\SWT Weather data

description: London\ 2008\ SWT Raw Data


Data Type: Weather station


Site information: 



	
Latitude: 51.487760                               
	
Longitude: -0.091069 
	
Anemometer height: 60 m 
	
Owner: Bill Legassick, Southwark Council. Contact: Tel: 020 7525 4253 | Fax: 020 7525 5705 
	
Email: Bill.Legassick@southwark.gov.uk



Sensor information      


Sensor type                 Model                                               Date installed
Anemometer                CDL  Windset (EC8)                        1999
Rain gauge                  Campbell Scientific ARG-100           1999
Temperature probe      T107_C                                             1999
Humidity probe            HMP45A                                            1999


Files: Are Zipped 


Filenames: Weather_Data_2008.CSV


Filetype: comma delimited


Header Row:Date and Time,Battery Voltage,CR10 Temperature,Wind Direction 10 Minutes,Wind Speed 10 Minutes,Wind Gust 10 Minutes,Hourly Average Direction,Hourly Average Speed,Hourly Maximum Gust,Hourly Gust Time,Hourly Gust Direction,Last Minute Average Temperature,Total Hourly Rain,Average RH over previous minute,Maximum Hourly Air Temperature,Minimum Hourly Air Temperature,Maximum Hourly Rainfall Rate,Time of Rainfall


Data: hourly averages
DOI: 10.15468/dl.u4p2qz
title: Occurrence Download

description: A dataset containing 26 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Malaysia",
 "OccurrenceStatus is Present",
 "TaxonKey is Panthera pardus (Linnaeus, 1758)"
 ]
}

 The dataset includes 26 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006607-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e87xcv
title: Occurrence Download

description: A dataset containing 2786 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Denmark",
 "OccurrenceStatus is Present",
 "CoordinateUncertaintyInMeters is less than 50000",
 "Year is 2021",
 "DecimalLongitude is greater than or equal to 10.05",
 "DecimalLongitude is less than or equal to 10.15",
 "DecimalLatitude is greater than or equal to 55.8",
 "DecimalLatitude is less than or equal to 55.9"
 ]
}

 The dataset includes 2786 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006606-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.2578138
title: London\2008\KSK WXT510  Rawdata

description: 1) Data type: Vaisala WXT510 data   
2) Filenames   
 Files are zipped by month
    Example:  KSK_WXT510_2007_07.zip
    Site:KSK
    Instrument: WXT510
    Year: 2007
    Month: 07
    Filetype: zip
    Internal Filenames
    1. Example WXT2007213_0_0.txt
    2. Letter: Sensor- WXT
    3. Year :2007
    4. Day of Year: 213
    5. Hour_0
    6. Minute _0
    7. Format: Ascii
3). Data structure:    
    See Vaisala WXT510 Manual


 Site:



	
Country= UK/ City=London/ Location= King’s College London (K)/ Strand Campus (S)/ King’s Building (K)
	
Height: Tower on roof
DOI: 10.5281/zenodo.2578137
title: London\2008\KSK WXT510  Rawdata

description: 1) Data type: Vaisala WXT510 data   
2) Filenames   
 Files are zipped by month
    Example:  KSK_WXT510_2007_07.zip
    Site:KSK
    Instrument: WXT510
    Year: 2007
    Month: 07
    Filetype: zip
    Internal Filenames
    1. Example WXT2007213_0_0.txt
    2. Letter: Sensor- WXT
    3. Year :2007
    4. Day of Year: 213
    5. Hour_0
    6. Minute _0
    7. Format: Ascii
3). Data structure:    
    See Vaisala WXT510 Manual


 Site:



	
Country= UK/ City=London/ Location= King’s College London (K)/ Strand Campus (S)/ King’s Building (K)
	
Height: Tower on roof
DOI: 10.5281/zenodo.2578125
title: London\2008\KSK Radiation Rawdata

description: London\2008\KSK\Radiation\  Rawdata 


1) Data Type: Radiation data



	
Skye PAR
	
SKYE UVA
	
Skye UVB
	
Kipp and Zonen CNR1



2) Filenames



	
Flies are zipped
	
 Example RF07172dat                                                                                                                                                           
	
Letter: RF - radiation fluxes
	
Year :07
	
Day of Year: 172
	
Format: Ascii



2. Data structure: Radiation data


3. Site: 



	
Country UK
	
City London
	
Location King’s College London (K)/ Strand Campus (S)/ King’s Building (K)
	
Height: Tower on roof



 


Loridan T, CSB Grimmond, BD Offerle, DT Young, T Smith, L Järvi, F Lindberg 2011: Local-Scale Urban Meteorological Parameterization Scheme (LUMPS): longwave radiation parameterization & seasonality related developments J. of Applied Meteorology & Climatology. 50: 185-202 doi: 10.1175/2010äMC2474.1
DOI: 10.5281/zenodo.2578126
title: London\2008\KSK Radiation Rawdata

description: London\2008\KSK\Radiation\  Rawdata 


1) Data Type: Radiation data



	
Skye PAR
	
SKYE UVA
	
Skye UVB
	
Kipp and Zonen CNR1



2) Filenames



	
Flies are zipped
	
 Example RF07172dat                                                                                                                                                           
	
Letter: RF - radiation fluxes
	
Year :07
	
Day of Year: 172
	
Format: Ascii



2. Data structure: Radiation data


3. Site: 



	
Country UK
	
City London
	
Location King’s College London (K)/ Strand Campus (S)/ King’s Building (K)
	
Height: Tower on roof



 


Loridan T, CSB Grimmond, BD Offerle, DT Young, T Smith, L Järvi, F Lindberg 2011: Local-Scale Urban Meteorological Parameterization Scheme (LUMPS): longwave radiation parameterization & seasonality related developments J. of Applied Meteorology & Climatology. 50: 185-202 doi: 10.1175/2010äMC2474.1
DOI: 10.15468/dl.wgpw7x
title: Occurrence Download

description: A dataset listing the 540 species recorded in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "StateProvince is 广东",
 "Year 2002-2022"
 ]
}

 The dataset's 540 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006598-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.2578105
title: London\2008\KSK  CeilometerA

description: London\ 2008\ KSK\ CeilometerA\   RawData  Tier2 zippedData


Type: Vaisala Ceilometer CL31 Instrument A


Files: Are Zipped by month
Internal


Filenames:



	
 Example A6112913.dat
	
 Letter: Ceilometer identifier: A
	
Year:7  >>>> 2007
	
Month : 11
	
Date: 29
	
Hour:13 (time starting)
	
 Format: Ascii



See Vaisala CL31 Manual
 


4). Site:     
    1. Country: UK
    2. City: London
    3. Location: King’s College London (K)/ Strand Campus (S)/ King’s Building (K)
    4. Height: Roof top


 


 


 


Publications that maybe helpful


Kotthaus S, CSB Grimmond 2018: Atmospheric Boundary Layer Characteristics from Ceilometer Measurements Part 1: A new method to track mixed layer height and classify clouds QJRMS https://doi.org/10.1002/qj.329Kotthaus S, E O'Connor, C Münkel, C Charlton-Perez, CSB Grimmond 2016: Recommendations for processing atmospheric backscatter profiles from Vaisala CL31 Ceilometers Atmos. Meas. Tech., 9, 3769-3791, 10.5194/amt-9-3769-2016Loridan T, CSB Grimmond, BD Offerle, DT Young, T Smith, L Järvi, F Lindberg 2011: Local-Scale Urban Meteorological Parameterization Scheme (LUMPS): longwave radiation parameterization & seasonality related developments J. of Applied Meteorology & Climatology. 50: 185-202 doi: 10.1175/2010äMC2474.1
DOI: 10.5281/zenodo.2578106
title: London\2008\KSK  CeilometerA

description: London\ 2008\ KSK\ CeilometerA\   RawData  Tier2 zippedData


Type: Vaisala Ceilometer CL31 Instrument A


Files: Are Zipped by month
Internal


Filenames:



	
 Example A6112913.dat
	
 Letter: Ceilometer identifier: A
	
Year:7  >>>> 2007
	
Month : 11
	
Date: 29
	
Hour:13 (time starting)
	
 Format: Ascii



See Vaisala CL31 Manual
 


4). Site:     
    1. Country: UK
    2. City: London
    3. Location: King’s College London (K)/ Strand Campus (S)/ King’s Building (K)
    4. Height: Roof top


 


 


 


Publications that maybe helpful


Kotthaus S, CSB Grimmond 2018: Atmospheric Boundary Layer Characteristics from Ceilometer Measurements Part 1: A new method to track mixed layer height and classify clouds QJRMS https://doi.org/10.1002/qj.329Kotthaus S, E O'Connor, C Münkel, C Charlton-Perez, CSB Grimmond 2016: Recommendations for processing atmospheric backscatter profiles from Vaisala CL31 Ceilometers Atmos. Meas. Tech., 9, 3769-3791, 10.5194/amt-9-3769-2016Loridan T, CSB Grimmond, BD Offerle, DT Young, T Smith, L Järvi, F Lindberg 2011: Local-Scale Urban Meteorological Parameterization Scheme (LUMPS): longwave radiation parameterization & seasonality related developments J. of Applied Meteorology & Climatology. 50: 185-202 doi: 10.1175/2010äMC2474.1
DOI: 10.15468/dl.pudzp3
title: Occurrence Download

description: A dataset containing 3514 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Denmark",
 "OccurrenceStatus is Present",
 "CoordinateUncertaintyInMeters is less than 50000",
 "Year is 2022",
 "DecimalLongitude is greater than or equal to 10.05",
 "DecimalLongitude is less than or equal to 10.15",
 "DecimalLatitude is greater than or equal to 55.8",
 "DecimalLatitude is less than or equal to 55.9"
 ]
}

 The dataset includes 3514 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006610-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34808/3g9p-9736
title: Photocatalytic decomposition of ethylene over TiO2 (titanium dioxide) supported on KBr (potassium bromide) and TiO2 supported on nickel foam and the effect of the addition of radical scavengers

description: This dataset contains chromatograms recorded during the decomposition of ethylene in a high-temperature reaction chamber under UV irradiation using TiO2 (titanium dioxide) as photocatalysts. It includes data on the influence of temperature, a thin layer of TiO2 (titanium dioxide) supported on KBr (potassium bromide) and thin layer of TiO2 (titanium dioxide) supported on  Ni (nickel) foams, and the effect of the addition of oxygen radicals and holes scavengers. The detailed equipment and measurement data was described in "readme ethylene.txt" file
DOI: 10.15468/dl.uc7yaw
title: Occurrence Download

description: A dataset containing 173714 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Namibia",
 "Month is July",
 "TaxonKey is Aves"
 ]
}

 The dataset includes 173714 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006595-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.2578066
title: 2008\London\ALL  Flight_Data

description: London


1) DEM


2) Processed_ARSF


3) Processed_DY
DOI: 10.5281/zenodo.2578067
title: 2008\London\ALL  Flight_Data

description: London


1) DEM


2) Processed_ARSF


3) Processed_DY
DOI: 10.15468/dl.vhcjsm
title: Occurrence Download

description: A dataset containing 4504 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Denmark",
 "OccurrenceStatus is Present",
 "CoordinateUncertaintyInMeters is less than 50000",
 "Year is 2023",
 "DecimalLongitude is greater than or equal to 10.05",
 "DecimalLongitude is less than or equal to 10.15",
 "DecimalLatitude is greater than or equal to 55.8",
 "DecimalLatitude is less than or equal to 55.9"
 ]
}

 The dataset includes 4504 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006612-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.28588685
title: zebrafish

description: Processed version of the data published in Saunders et al., 2023, Nature (https://www.nature.com/articles/s41586-023-06720-2)Processed version of the anndata object, subset to 2000 HVGs.
DOI: 10.15468/dl.7p44rt
title: Occurrence Download

description: A dataset containing 2871 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Denmark",
 "OccurrenceStatus is Present",
 "CoordinateUncertaintyInMeters is less than 50000",
 "Year is 2024",
 "DecimalLongitude is greater than or equal to 10.05",
 "DecimalLongitude is less than or equal to 10.15",
 "DecimalLatitude is greater than or equal to 55.8",
 "DecimalLatitude is less than or equal to 55.9"
 ]
}

 The dataset includes 2871 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006613-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.