cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.21233/tq37-vp90
title: LDDsite1915 ostracode surface sample dataset

description: Raw data for the LDDsite1915 ostracode surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/c83y-fr24
title: Shaker Mill Pond water chemistry dataset

description: Raw data for the Shaker Mill Pond water chemistry dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/ckz2-ef80
title: Windmill Lake pollen dataset

description: Raw data for the Windmill Lake pollen dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/s7hz-ys47
title: LDDsite3877 water chemistry dataset

description: Raw data for the LDDsite3877 water chemistry dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/vyyn-4270
title: Bobtail Lake water chemistry dataset

description: Raw data for the Bobtail Lake water chemistry dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/mewc-tb12
title: Beaver vertebrate fauna dataset

description: Raw data for the Beaver vertebrate fauna dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/0awc-3v87
title: LDDsite5814 water chemistry dataset

description: Raw data for the LDDsite5814 water chemistry dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/bw34-yw90
title: Jinchuan testate amoebae surface sample dataset

description: Raw data for the Jinchuan testate amoebae surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/96jj-1429
title: Oak Lake water chemistry dataset

description: Raw data for the Oak Lake water chemistry dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/qb4z-gb65
title: Boshkung Lake water chemistry dataset

description: Raw data for the Boshkung Lake water chemistry dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/04qx-qb52
title: Glen Canyon vertebrate fauna dataset

description: Raw data for the Glen Canyon vertebrate fauna dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/9gvv-8545
title: KYLE11 pollen surface sample dataset

description: Raw data for the KYLE11 pollen surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/v44v-jn59
title: LDDsite3264 ostracode surface sample dataset

description: Raw data for the LDDsite3264 ostracode surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/v1k4-tb31
title: Lake Chautauqua [mud lake] ostracode surface sample dataset

description: Raw data for the Lake Chautauqua [mud lake] ostracode surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.15468/dl.f64ffp
title: Occurrence Download

description: A dataset containing 15554 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ixodes ricinus Linnaeus, 1758",
 "Year 1000-2025"
 ]
}

 The dataset includes 15554 records from 167 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023443-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/11748393
title: QM40 Molecular QM Dataset
DOI: 10.21233/wk9w-fj06
title: Bitter Lake ostracode surface sample dataset

description: Raw data for the Bitter Lake ostracode surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.15468/dl.25sxv3
title: Occurrence Download

description: A dataset containing 3497 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is South Africa",
 "DatasetKey is EOD – eBird Observation Dataset",
 "GadmGid is ZAF",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Corvus albus Statius Muller, 1776",
 {
 "or" : [
 "Year 1990-1990",
 "Year 2018-2018"
 ]
 }
 ]
}

 The dataset includes 3497 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023444-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8ax7qc
title: Occurrence Download

description: A dataset containing 2407 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "TaxonKey is Solidago juncea Aiton",
 "Year 2019-2024"
 ]
}

 The dataset includes 2407 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023446-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21233/shkz-8222
title: Great Dismal Swamp pollen surface sample dataset

description: Raw data for the Great Dismal Swamp pollen surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.5281/zenodo.14178342
title: Data Set "Benchmarking of Vibrational Exciton Models Against Quantum-Chemical Localized-Mode Calculations"

description: This data set accompanies the publication "Benchmarking of Vibrational Exciton Models Against Quantum-Chemical Localized-Mode Calculations" by Anna M. van Bodegraven, Kevin Focke, Mario Wolter, and Christoph R. Jacob (TU Braunschweig, Germany) 

It contains the following files:

Directory '01_AIM':

    - input (structure.pdb, topol.top and *_input.txt) and results (*.log and      Hamiltonian/AtomPos/Dipole/Parameters.txt) from frequency calculations      with the Amide-I-maps (AIM) program for six polypeptide test cases      (1gpB_310, ala_310, ala_hairpin, ala_helix, ala_strand, and trpzip),          each in vacuo or water with three different maps (Jansen, Skinner,       Tokmakoff) for 11 snapshots based on a MD run.    To rerun the calculations, you will have to change the paths in     the *_input.txt files (topfile, trjfile, sourcedir) accordingly    Directory '02_SNF':

    - results (*.dat, *.out, coord and control) from frequency calculations       using Turbomole, SNF, and LocVib for six polypeptide test cases      (1gpB_310, ala_310, ala_hairpin, ala_helix, ala_strand, and trpzip)       each in vacuo or water for snapshots based on an MD run.      Directory '03_NMA':

    - coordinates and results from pyADF for NMA molecules each alligned       with a peptide bond from the six polypeptide test cases      (1gpB_310, ala_310, ala_hairpin, ala_helix, ala_strand, and trpzip)       each in water for 11 snapshots based on a MD run and input       (*_input.txt) and results (*.log and Hamiltonian/AtomPos/Dipole/Parameters.txt)       from calculations with the Amide-I-maps (AIM) program      Directory '04_Handling_Data':

    - contains all used notebooks to extract the data, plot the figures       and calculate the errors    - RMSD_Error_vacuo/water.ipynb is used to calculate the overall shifts       and generates a map-dependent mean value to shift the frequencies of AIM    - Frequencies.ipynb and Couplings.ipynb are used to plot the figures     - RMSD_values_vacuo/water.ipynb show the calculations for the statistical       analysis    To use the notebooks, start with the Dictionary_setup_for_data_for_paper.ipynb     to set up the main dictionary from the calculated data
DOI: 10.5281/zenodo.14178343
title: Data Set "Benchmarking of Vibrational Exciton Models Against Quantum-Chemical Localized-Mode Calculations"

description: This data set accompanies the publication "Benchmarking of Vibrational Exciton Models Against Quantum-Chemical Localized-Mode Calculations" by Anna M. van Bodegraven, Kevin Focke, Mario Wolter, and Christoph R. Jacob (TU Braunschweig, Germany) 

It contains the following files:

Directory 'AIM':

    - input (structure.pdb and *_input.txt) and results (*.log and      Hamiltonian/AtomPos/Dipole/Parameters.txt) from frequency calculations      with the Amide-I-maps (AIM) program for six polypeptide test cases      (1gpB_310, ala_310, ala_hairpin, ala_helix, ala_strand, and trpzip),          each in vacuo or water with three different maps (Jansen, Skinner,       Tokmakoff) for 11 snapshots based on a MD run.    - the used topology files for vacuo calculation are at the top level      for each structure. For the water calculations, they are within the      folder for the respective snapshot.    - to rerun the calculations, you will have to change the paths in       the *_input.txt files (topfile, trjfile, sourcedir) accordingly    Directory 'SNF':

    - results (*.dat, *.out, coord and control) from frequency calculations       using Turbomole, SNF, and LocVib for six polypeptide test cases      (1gpB_310, ala_310, ala_hairpin, ala_helix, ala_strand, and trpzip)       each in vacuo or water for 11 snapshots based on a MD run.      Directory 'Handling_Data':

    - contains all used notebooks to extract the data, plot the figures       and calculate the errors    - to use the notebooks, start with the Dictionary_setup_for_data_for_paper.ipynb       to set up the main dictionary from the calculated data    - the RMSD_Error_vacuo/water.ipynb is used to calculate the overall shifts       and generates a map-dependent mean value to shift the frequencies of AIM    - Frequencies.ipynb and Couplings.ipynb are used to plot the figures     - RMSD_values_vacuo/water.ipynb show the calculations for the statistical analysis
DOI: 10.5281/zenodo.14181231
title: Data Set "Benchmarking of Vibrational Exciton Models Against Quantum-Chemical Localized-Mode Calculations"

description: This data set accompanies the publication "Benchmarking of Vibrational Exciton Models Against Quantum-Chemical Localized-Mode Calculations" by Anna M. van Bodegraven, Kevin Focke, Mario Wolter, and Christoph R. Jacob (TU Braunschweig, Germany) 

It contains the following files:

Directory 'AIM':

    - input (structure.pdb and *_input.txt) and results (*.log and      Hamiltonian/AtomPos/Dipole/Parameters.txt) from frequency calculations      with the Amide-I-maps (AIM) program for six polypeptide test cases      (1gpB_310, ala_310, ala_hairpin, ala_helix, ala_strand, and trpzip),          each in vacuo or water with three different maps (Jansen, Skinner,       Tokmakoff) for 11 snapshots based on a MD run.    - the used topology files for vacuo calculation are at the top level      for each structure. For the water calculations, they are within the      folder for the respective snapshot.    - to rerun the calculations, you will have to change the paths in       the *_input.txt files (topfile, trjfile, sourcedir) accordingly    Directory 'SNF':

    - results (*.dat, *.out, coord and control) from frequency calculations       using Turbomole, SNF, and LocVib for six polypeptide test cases      (1gpB_310, ala_310, ala_hairpin, ala_helix, ala_strand, and trpzip)       each in vacuo or water for 11 snapshots based on a MD run.      Directory 'Handling_Data':

    - contains all used notebooks to extract the data, plot the figures       and calculate the errors    - to use the notebooks, start with the Dictionary_setup_for_data_for_paper.ipynb       to set up the main dictionary from the calculated data    - the RMSD_Error_vacuo/water.ipynb is used to calculate the overall shifts       and generates a map-dependent mean value to shift the frequencies of AIM    - Frequencies.ipynb and Couplings.ipynb are used to plot the figures     - RMSD_values_vacuo/water.ipynb show the calculations for the statistical analysis
DOI: 10.5281/zenodo.15374804
title: Data Set "Benchmarking of Vibrational Exciton Models Against Quantum-Chemical Localized-Mode Calculations"

description: This data set accompanies the publication "Benchmarking of Vibrational Exciton Models Against Quantum-Chemical Localized-Mode Calculations" by Anna M. van Bodegraven, Kevin Focke, Mario Wolter, and Christoph R. Jacob (TU Braunschweig, Germany) 

It contains the following files:

Directory '01_AIM':

    - input (structure.pdb, topol.top and *_input.txt) and results (*.log and      Hamiltonian/AtomPos/Dipole/Parameters.txt) from frequency calculations      with the Amide-I-maps (AIM) program for six polypeptide test cases      (1gpB_310, ala_310, ala_hairpin, ala_helix, ala_strand, and trpzip),          each in vacuo or water with three different maps (Jansen, Skinner,       Tokmakoff) for 11 snapshots based on a MD run.    To rerun the calculations, you will have to change the paths in     the *_input.txt files (topfile, trjfile, sourcedir) accordingly    Directory '02_SNF':

    - results (*.dat, *.out, coord and control) from frequency calculations       using Turbomole, SNF, and LocVib for six polypeptide test cases      (1gpB_310, ala_310, ala_hairpin, ala_helix, ala_strand, and trpzip)       each in vacuo or water for snapshots based on an MD run.      Directory '03_NMA':

    - coordinates and results from pyADF for NMA molecules each alligned       with a peptide bond from the six polypeptide test cases      (1gpB_310, ala_310, ala_hairpin, ala_helix, ala_strand, and trpzip)       each in water for 11 snapshots based on a MD run and input       (*_input.txt) and results (*.log and Hamiltonian/AtomPos/Dipole/Parameters.txt)       from calculations with the Amide-I-maps (AIM) program      Directory '04_Handling_Data':

    - contains all used notebooks to extract the data, plot the figures       and calculate the errors    - RMSD_Error_vacuo/water.ipynb is used to calculate the overall shifts       and generates a map-dependent mean value to shift the frequencies of AIM    - Frequencies.ipynb and Couplings.ipynb are used to plot the figures     - RMSD_values_vacuo/water.ipynb show the calculations for the statistical       analysis    To use the notebooks, start with the Dictionary_setup_for_data_for_paper.ipynb     to set up the main dictionary from the calculated data
DOI: 10.15468/dl.5gemnt
title: Occurrence Download

description: A dataset containing 2689 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Panama, Costa Rica, Guatemala, Nicaragua, El Salvador, Mexico, Honduras, Belize)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Tabebuia rosea (Bertol.) Bertero ex A.DC."
 ]
}

 The dataset includes 2689 records from 104 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023447-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21233/2958-zk60
title: Eggen ob Blatten pollen dataset

description: Raw data for the Eggen ob Blatten pollen dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/7j4h-1092
title: CHUSKASp 4 pollen surface sample dataset

description: Raw data for the CHUSKASp 4 pollen surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.15468/dl.97c2j7
title: Occurrence Download

description: A dataset containing 5536927 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "Year 1800-2010"
 ]
}

 The dataset includes 5536927 records from 2261 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023423-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fh4xvr
title: Occurrence Download

description: A dataset containing 1006768 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is IberArthro: A database compiling taxonomic and distributional data on Ibero-Balearic arthropods"
 ]
}

 The dataset includes 1006768 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002902-250424135625364/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15285006
title: Co-UDlabs_WP6_T61_EAWAG_004_DischargeKeeper

description: This dataset documents the comparison between sewer flow measurements collected with the DischargeKeeper of Photrack AG via Surface Structure Image Velocimetry (SSIV) and Nivus ultrasonic flow sensors. 

Data covers timestamped flow rates, depth, and velocity measurements from an experimental combined sewer site in Dübendorf, Switzerland (Eawag HALL laboratory). Analysis scripts and structured FAIR metadata are included to support reproducibility and reuse.

All data is openly available under the Creative Commons CC0 1.0 Public Domain Dedication.

 

## File Structure inside the ZIP Archive

The uploaded ZIP file contains:

 

├── license.txt         # License file (CC0 1.0 Public Domain Dedication)

│

├── code/

│   └── DK_vs_NIVUS.py  # Python script for comparing DischargeKeeper and NIVUS data

│

├── data/

│   ├── 000Credible_Nivus_Data_with_Timestamp.csv   # Quality-checked Nivus flow data

│   ├── 000DischargeKeeper_Data__Timestamp_.csv     # DischargeKeeper flow data

│   ├── discharge_eawag.png                         # Site reference image

│   ├── nivus_data_2019-01-01.csv                   # Raw Nivus dataset (Jan 2019)

│   └── nivus_data_2019-04-01_2019-05-30.csv         # Raw Nivus dataset (Apr-May 2019)

│

├── docs/

│   ├── PenaHaro_2021_ABFLUSSMESSUNGEN MIT VIDEOS_Aqua_Et_Gas_Aqua_Urbanica.pdf  # Scientific background paper

│   ├── Readme_DK.md      # README for DischargeKeeper dataset

│   └── Readme_NIVUS.md   # README for NIVUS dataset

│

└── metadata/

    ├── metadata_DischargeKeeper.json   # FAIR metadata for DischargeKeeper

    └── metadata_NIVUS.json              # FAIR metadata for NIVUS
DOI: 10.5281/zenodo.15285007
title: Co-UDlabs_WP6_T61_EAWAG_004_DischargeKeeper

description: This dataset documents the comparison between sewer flow measurements collected with the DischargeKeeper of Photrack AG via Surface Structure Image Velocimetry (SSIV) and Nivus ultrasonic flow sensors. 

Data covers timestamped flow rates, depth, and velocity measurements from an experimental combined sewer site in Dübendorf, Switzerland (Eawag HALL laboratory). Analysis scripts and structured FAIR metadata are included to support reproducibility and reuse.

All data is openly available under the Creative Commons CC0 1.0 Public Domain Dedication.

 

## File Structure inside the ZIP Archive

The uploaded ZIP file contains:

 

├── license.txt         # License file (CC0 1.0 Public Domain Dedication)

│

├── code/

│   └── DK_vs_NIVUS.py  # Python script for comparing DischargeKeeper and NIVUS data

│

├── data/

│   ├── 000Credible_Nivus_Data_with_Timestamp.csv   # Quality-checked Nivus flow data

│   ├── 000DischargeKeeper_Data__Timestamp_.csv     # DischargeKeeper flow data

│   ├── discharge_eawag.png                         # Site reference image

│   ├── nivus_data_2019-01-01.csv                   # Raw Nivus dataset (Jan 2019)

│   └── nivus_data_2019-04-01_2019-05-30.csv         # Raw Nivus dataset (Apr-May 2019)

│

├── docs/

│   ├── PenaHaro_2021_ABFLUSSMESSUNGEN MIT VIDEOS_Aqua_Et_Gas_Aqua_Urbanica.pdf  # Scientific background paper

│   ├── Readme_DK.md      # README for DischargeKeeper dataset

│   └── Readme_NIVUS.md   # README for NIVUS dataset

│

└── metadata/

    ├── metadata_DischargeKeeper.json   # FAIR metadata for DischargeKeeper

    └── metadata_NIVUS.json              # FAIR metadata for NIVUS