cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.13145/bacdive9392.20251217.10
title: Corallococcus coralloides (Thaxter 1892) Reichenbach 2007

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive9393.20241212.9.2
title: Corallococcus coralloides (Thaxter 1892) Reichenbach 2007

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive9393.20251217.10
title: Corallococcus coralloides (Thaxter 1892) Reichenbach 2007

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0077412.10fu
title: SH0077412.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.13145/bacdive9394.20241212.9.2
title: Corallococcus coralloides (Thaxter 1892) Reichenbach 2007

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive9394.20251217.10
title: Corallococcus coralloides (Thaxter 1892) Reichenbach 2007

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0077413.10fu
title: SH0077413.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.13145/bacdive9395.20241212.9.2
title: Corallococcus coralloides (Thaxter 1892) Reichenbach 2007

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive9395.20251217.10
title: Corallococcus coralloides (Thaxter 1892) Reichenbach 2007

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0077414.10fu
title: SH0077414.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.5281/zenodo.2583563
title: 2012\London \KSS  - KSSW - KSK CSAT_Hrly RawData

description: 2012\London \KSS  - KSSW - KSK CSAT_Hrly RawData

Data type:Eddy covariance raw data 

Instruments (1) Campbell Scientific CSAT (2) Licor 7500

Sites: KSS, KSSW, KSK

KSS tower and instruments became KSSW when tower was moved  45 m W on the KSS roof

2) Filenames   Files are zipped by month    Example:  KSS_CSAT_Hrly_2012_10.zip    Site: KSS    Instrument: CSAT 3d Sonic and Licor 7500    Year: 2012    Month: 10    Filetype: zip    Internal Filenames    1. Example KCLFast09275_01.txt    2. Letter: Sensor KCLFast --    3. Year :09    4. Day of Year: 275    5. Hour:01     7. Format: Ascii, 10 Hz data3). Data structure:       See ECPack **** program****                            Site  Country= UK/ City=London/ Location= King’s College London (K)/ Strand Campus (S)/ Strand Building (S)Height: Tower on roof Aluma TowerPublications       Kotthaus S & CSB Grimmond 2012: Identification of Micro-scale Anthropogenic CO2, Heat and Moisture Sources - Processing Eddy Covariance Fluxes for a Dense Urban Environment Atmospheric Environment 57, 301-316. 10.1016/j.atmosenv.2012.04.024   Kotthaus S & CSB Grimmond 2014: Energy exchange in a dense urban environment – Part I: temporal variability of long-term observations in central London Urban Climate 10, 261–280 10.1016/j.uclim.2013.10.002
DOI: 10.5281/zenodo.2583564
title: 2012\London \KSS  - KSSW - KSK CSAT_Hrly RawData

description: 2012\London \KSS  - KSSW - KSK CSAT_Hrly RawData

Data type:Eddy covariance raw data 

Instruments (1) Campbell Scientific CSAT (2) Licor 7500

Sites: KSS, KSSW, KSK

KSS tower and instruments became KSSW when tower was moved  45 m W on the KSS roof

2) Filenames   Files are zipped by month    Example:  KSS_CSAT_Hrly_2012_10.zip    Site: KSS    Instrument: CSAT 3d Sonic and Licor 7500    Year: 2012    Month: 10    Filetype: zip    Internal Filenames    1. Example KCLFast09275_01.txt    2. Letter: Sensor KCLFast --    3. Year :09    4. Day of Year: 275    5. Hour:01     7. Format: Ascii, 10 Hz data3). Data structure:       See ECPack **** program****                            Site  Country= UK/ City=London/ Location= King’s College London (K)/ Strand Campus (S)/ Strand Building (S)Height: Tower on roof Aluma TowerPublications       Kotthaus S & CSB Grimmond 2012: Identification of Micro-scale Anthropogenic CO2, Heat and Moisture Sources - Processing Eddy Covariance Fluxes for a Dense Urban Environment Atmospheric Environment 57, 301-316. 10.1016/j.atmosenv.2012.04.024   Kotthaus S & CSB Grimmond 2014: Energy exchange in a dense urban environment – Part I: temporal variability of long-term observations in central London Urban Climate 10, 261–280 10.1016/j.uclim.2013.10.002
DOI: 10.5281/zenodo.2583541
title: 2012/London/ Large Aperture Scintillometer (LAS)

description: "2012/London/ Large Aperture Scintillometer


Sites (1) NTT (2) NDT (3) NGT


Instruments (1) Kipp and zonen LAS (2) Kipp and Zonen MKII (3) Scintec BLS


Serial numbers given for KZ instruments


Receiver end is the site name


People involved: Lukas Pauscher , Will Morrison Helen Ward"
DOI: 10.5281/zenodo.2583542
title: 2012/London/ Large Aperture Scintillometer (LAS)

description: "2012/London/ Large Aperture Scintillometer


Sites (1) NTT (2) NDT (3) NGT


Instruments (1) Kipp and zonen LAS (2) Kipp and Zonen MKII (3) Scintec BLS


Serial numbers given for KZ instruments


Receiver end is the site name


People involved: Lukas Pauscher , Will Morrison Helen Ward"
DOI: 10.5281/zenodo.2583507
title: 2012\London\KSS  - KSSW  - KSNW  Li-840 CO2 and H20

description: 2012\London\ Li-840  CO2 ProfilesSite: KSS, KSNW KSSCountry UKCity LondonLocation King’s College London (K)/ Strand Campus (S)/ Strand Building (S) Height: on Aluma TowerKSNW NW - North WingDATA: Licor Li840 - CO2 and H20Zipped files by month and sensor e.g. KSS_Li840-1_Hrly_2012_12.zipKSS - SiteLI840-1 sensorHrly- files2012 -- year12- monthInternal files  e.g. LI-12012351_18_raw.txtLI-1 - licor 8402012 - year351 - day of year18 - hourraw - raw dataformat: asciidetails: see Licor 840 manualPublicationsBjorkegren A, CSB Grimmond 2018: Net Carbon Dioxide emissions from central London) Urban Climate 23, 131-158 10.1016/j.uclim.2016.10.002Bjorkegren A, CSB Grimmond, S Kotthaus, BD Malamud 2015: CO2 emission estimation in the urban environment: measurement of the CO2 storage term. Atmospheric Environment 122, 775-790, 10.1016/j.atmosenv.2015.10.012
DOI: 10.5281/zenodo.2583508
title: 2012\London\KSS  - KSSW  - KSNW  Li-840 CO2 and H20

description: 2012\London\ Li-840  CO2 ProfilesSite: KSS, KSNW KSSCountry UKCity LondonLocation King’s College London (K)/ Strand Campus (S)/ Strand Building (S) Height: on Aluma TowerKSNW NW - North WingDATA: Licor Li840 - CO2 and H20Zipped files by month and sensor e.g. KSS_Li840-1_Hrly_2012_12.zipKSS - SiteLI840-1 sensorHrly- files2012 -- year12- monthInternal files  e.g. LI-12012351_18_raw.txtLI-1 - licor 8402012 - year351 - day of year18 - hourraw - raw dataformat: asciidetails: see Licor 840 manualPublicationsBjorkegren A, CSB Grimmond 2018: Net Carbon Dioxide emissions from central London) Urban Climate 23, 131-158 10.1016/j.uclim.2016.10.002Bjorkegren A, CSB Grimmond, S Kotthaus, BD Malamud 2015: CO2 emission estimation in the urban environment: measurement of the CO2 storage term. Atmospheric Environment 122, 775-790, 10.1016/j.atmosenv.2015.10.012
DOI: 10.48370/ofd/ipfagq/nr9u3i
title: co2-wide.tab

description: The CO2 Emissions CSV Dataset contains emissions data for the top 25 emitting countries from 1975 to 2021. Each row represents a country, followed by emission values (in metric tons) recorded at key intervals. The data has been extracted, cleaned, and structured to ensure clarity and accuracy. This format enables seamless integration with visualization tools like D3.js for clear trend analysis.
DOI: 10.5281/zenodo.15007114
title: List of papers considered for literature study and selection criteria applied to each paper
DOI: 10.5281/zenodo.15007115
title: List of papers considered for literature study and selection criteria applied to each paper
DOI: 10.5281/zenodo.2583485
title: 2012\London\SurfTemp  KSK KSK15S

description: 2012\London\SurfTemp
Sites (1) KSK (2) KSK15S
Type: IRT sensors pointing at different surface types on the KSK Roof

Daily Files

    Files: KSKTYYDDD.dat
    Site:KSK
    File T - surface T
    YY - year
    DDD- Day of Year
    Format - comma delimited ascii

Site KSK:
Country UK
City London
Location King’s College London (K)/ Strand Campus (S)/ King’s Building (K)
DOI: 10.5281/zenodo.2583486
title: 2012\London\SurfTemp  KSK KSK15S

description: 2012\London\SurfTemp
Sites (1) KSK (2) KSK15S
Type: IRT sensors pointing at different surface types on the KSK Roof

Daily Files

    Files: KSKTYYDDD.dat
    Site:KSK
    File T - surface T
    YY - year
    DDD- Day of Year
    Format - comma delimited ascii

Site KSK:
Country UK
City London
Location King’s College London (K)/ Strand Campus (S)/ King’s Building (K)
DOI: 10.15468/dl.w7wr8z
title: Occurrence Download

description: A dataset containing 4371 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Denmark",
 "OccurrenceStatus is Present",
 "CoordinateUncertaintyInMeters is less than 50000",
 "Year is 2009",
 "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 4371 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002862-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15007104
title: Comprehensive Clinical, Pathological and Follow-up Dataset of Prostate Cancer Patients

description: This dataset contains comprehensive clinical, pathological, and follow-up data from 600 prostate cancer patients. The data includes:

Clinical Parameters:- Patient demographics (age)- Initial diagnosis details (PSA, clinical stage, biopsy Gleason score)- Risk stratification- Laboratory values (albumin, lymphocyte count, CRP, NLR, CALLY Index)- Comorbidity scores

Treatment Information:- Treatment type (surgery, radiotherapy, hormone therapy, or combinations)- Treatment dates- Radiation doses- Androgen deprivation therapy details

Pathological Outcomes:- Pathological stage- Surgical margin status- Final Gleason score

Follow-up Data:- PSA measurements (nadir and at 3, 6, 12 months)- Biochemical recurrence status and dates- Metastasis information- Survival status- Last follow-up dates

The dataset is anonymized and includes 30 variables across 600 patients, making it valuable for:- Clinical research in prostate cancer- Outcome prediction studies- Treatment response analysis- Risk stratification model development- Machine learning applications in oncology

Data format: CSV fileTime period: 2020-2024
DOI: 10.5281/zenodo.15007105
title: Comprehensive Clinical, Pathological and Follow-up Dataset of Prostate Cancer Patients

description: This dataset contains comprehensive clinical, pathological, and follow-up data from 600 prostate cancer patients. The data includes:

Clinical Parameters:- Patient demographics (age)- Initial diagnosis details (PSA, clinical stage, biopsy Gleason score)- Risk stratification- Laboratory values (albumin, lymphocyte count, CRP, NLR, CALLY Index)- Comorbidity scores

Treatment Information:- Treatment type (surgery, radiotherapy, hormone therapy, or combinations)- Treatment dates- Radiation doses- Androgen deprivation therapy details

Pathological Outcomes:- Pathological stage- Surgical margin status- Final Gleason score

Follow-up Data:- PSA measurements (nadir and at 3, 6, 12 months)- Biochemical recurrence status and dates- Metastasis information- Survival status- Last follow-up dates

The dataset is anonymized and includes 30 variables across 600 patients, making it valuable for:- Clinical research in prostate cancer- Outcome prediction studies- Treatment response analysis- Risk stratification model development- Machine learning applications in oncology

Data format: CSV fileTime period: 2020-2024
DOI: 10.5281/zenodo.2582568
title: 2012\London \KSK\CSAT_Hrly RawData

description: 2012\London \KSK\CSAT_Hrly RawData



1) Data type:Eddy covariance raw data
2) Filenames  
 Files are zipped by month (1-10)
    Example:  KSK_CSAT_Hrly_2012_10.zip
    Site: KSK
    Instrument: CSAT 3d Sonic and Licor 7500
    Year: 2012
    Month: 10
    Filetype: zip
    Internal Filenames
    1. Example KCLFast09275_01.txt
    2. Letter: Sensor KCLFast --
    3. Year :09
    4. Day of Year: 275
    5. Hour:01 
    7. Format: Ascii, 10 Hz data
3). Data structure:   
    See ECPack **** program****                           
Site  Country= UK/ City=London/ Location= King’s College London (K)/ Strand Campus (S)/ King’s Building (K)
Height: Tower on roof   (Yellow UK)
Publications       
Kotthaus S & CSB Grimmond 2012: Identification of Micro-scale Anthropogenic CO2, Heat and Moisture Sources - Processing Eddy Covariance Fluxes for a Dense Urban Environment Atmospheric Environment 57, 301-316. 10.1016/j.atmosenv.2012.04.024   Kotthaus S & CSB Grimmond 2014: Energy exchange in a dense urban environment – Part I: temporal variability of long-term observations in central London Urban Climate 10, 261–280 10.1016/j.uclim.2013.10.002
DOI: 10.5281/zenodo.2582569
title: 2012\London \KSK\CSAT_Hrly RawData

description: 2012\London \KSK\CSAT_Hrly RawData



1) Data type:Eddy covariance raw data
2) Filenames  
 Files are zipped by month (1-10)
    Example:  KSK_CSAT_Hrly_2012_10.zip
    Site: KSK
    Instrument: CSAT 3d Sonic and Licor 7500
    Year: 2012
    Month: 10
    Filetype: zip
    Internal Filenames
    1. Example KCLFast09275_01.txt
    2. Letter: Sensor KCLFast --
    3. Year :09
    4. Day of Year: 275
    5. Hour:01 
    7. Format: Ascii, 10 Hz data
3). Data structure:   
    See ECPack **** program****                           
Site  Country= UK/ City=London/ Location= King’s College London (K)/ Strand Campus (S)/ King’s Building (K)
Height: Tower on roof   (Yellow UK)
Publications       
Kotthaus S & CSB Grimmond 2012: Identification of Micro-scale Anthropogenic CO2, Heat and Moisture Sources - Processing Eddy Covariance Fluxes for a Dense Urban Environment Atmospheric Environment 57, 301-316. 10.1016/j.atmosenv.2012.04.024   Kotthaus S & CSB Grimmond 2014: Energy exchange in a dense urban environment – Part I: temporal variability of long-term observations in central London Urban Climate 10, 261–280 10.1016/j.uclim.2013.10.002
DOI: 10.5281/zenodo.2582572
title: 2012\London\KSK, KSS, KSSW, KSNW  WXT510 & 520  Rawdata

description: 2012\London\KS  WXT510  Rawdata
1) Data type: Vaisala WXT510 data Vaisala WXt520


Sites: KSK, KSS, KSSW, KSNW



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_01.txt
    2. Letter: Sensor- WXT
    3. Year :2007
    4. Day of Year: 213
    5. Hour_01
    6. Format: Ascii
3). Data structure:   
    See Vaisala WXT510 Manual
Site:  KSK
Country UK
City London
Location King’s College London (K)/ Strand Campus (S)/ King’s Building (K)
Height: Tower on roof   (Yellow UK)
Publications       
Kotthaus S & CSB Grimmond 2012: Identification of Micro-scale Anthropogenic CO2, Heat and Moisture Sources - Processing Eddy Covariance Fluxes for a Dense Urban Environment Atmospheric Environment 57, 301-316. 10.1016/j.atmosenv.2012.04.024  
Kotthaus S & CSB Grimmond 2014: Energy exchange in a dense urban environment – Part I: temporal variability of long-term observations in central London Urban Climate 10, 261–280 10.1016/j.uclim.2013.10.002
DOI: 10.5281/zenodo.2582573
title: 2012\London\KSK, KSS, KSSW, KSNW  WXT510 & 520  Rawdata

description: 2012\London\KS  WXT510  Rawdata
1) Data type: Vaisala WXT510 data Vaisala WXt520


Sites: KSK, KSS, KSSW, KSNW



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_01.txt
    2. Letter: Sensor- WXT
    3. Year :2007
    4. Day of Year: 213
    5. Hour_01
    6. Format: Ascii
3). Data structure:   
    See Vaisala WXT510 Manual
Site:  KSK
Country UK
City London
Location King’s College London (K)/ Strand Campus (S)/ King’s Building (K)
Height: Tower on roof   (Yellow UK)
Publications       
Kotthaus S & CSB Grimmond 2012: Identification of Micro-scale Anthropogenic CO2, Heat and Moisture Sources - Processing Eddy Covariance Fluxes for a Dense Urban Environment Atmospheric Environment 57, 301-316. 10.1016/j.atmosenv.2012.04.024  
Kotthaus S & CSB Grimmond 2014: Energy exchange in a dense urban environment – Part I: temporal variability of long-term observations in central London Urban Climate 10, 261–280 10.1016/j.uclim.2013.10.002
DOI: 10.5281/zenodo.2582564
title: 2012\London\ AMDAR

description: 2012\London\AMDAR\
Type: Aircraft data landing/taking off around London
Files: Hourly
Zipped by Month
AMYYYYDDD_HH.txt-
AM-amdar
YYYY - year
DDD- day of year
HH hour
example: AM2012365_23.txt
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
DOI: 10.5281/zenodo.2582565
title: 2012\London\ AMDAR

description: 2012\London\AMDAR\
Type: Aircraft data landing/taking off around London
Files: Hourly
Zipped by Month
AMYYYYDDD_HH.txt-
AM-amdar
YYYY - year
DDD- day of year
HH hour
example: AM2012365_23.txt
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
DOI: 10.5066/p9x7qzfg
title: Dynamic rating model archive

description: Ratings are used for a variety of reasons in water-resources investigations. The simplest rating relates discharge to the stage of the river. From a pure hydrodynamics perspective, all rivers and streams have some form of hysteresis in the relation between stage and discharge because of unsteady flow as a flood wave passes. Simple ratings are unable to represent hysteresis in a stage/discharge relation. A dynamic rating method is capable of capturing hysteresis owing to the variable energy slope caused by unsteady momentum and pressure.

Using some simplifying assumptions, Fread (1973) developed what was termed a “dynamic loop” rating method to compute discharge from a time series of stage at a single streamgage for channels with compact geometry (no flood plain). Dynamic loop has specific meaning as it refers to a rating method that accounts for the variable energy slope "associated with the dynamic inertia and pressure forces of the unsteady flood discharge" (Fread, 1975) as opposed to rating loops imposed by alluvial bedform dynamics or scour and fill processes.

A dynamic rating method, which accommodates compound and compact channel geometry, referred to as DYNPOUND, has been developed using a numerical solution as the focal point of this study. The DYNPOUND method was implemented in the Python programming language and computes discharge from stage and stage from discharge. Stage and discharge time series computed with the dynamic rating method implementations were compared to the USGS published stage and discharge time series. The results from the DYNPOUND method were also compared to discrete stage and discharge measurements made at U.S. Geological Survey streamgage sites. Two sets of stage and discharge time series were created using one-dimensional unsteady simulation software with compound channel geometry to compare the results of the DYNPOUND method to results from the full one-dimensional shallow water equations.

This model archive accompanies the report by Domanski and others (2025) and the software release by Knight and others (2025). It contains the original source code and calibration parameters for the DYNPOUND rating method, along with the HEC-RAS project files, that were used to generate the results featured in the report (Domanski and others, 2025). The 'model' directory encompasses all input and output files required to run the model. The 'output' directory contains the expected output from DYNPOUND. The 'source' directory consists of the complete source code written in Python. The 'tables' directory contains all table data published in the accompanying report by Domanski and others (2025).