cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.25879420.v2
title: Iris in Meta

description: This dataset contains the bibliographic metadata (in Parquet format) included in OpenCitations Meta. In particular, each line of the CSV file defines a bibliographic resource, and includes the following information:<b>[field "id"]</b> the IDs for the document. Can contain either a DOI, a ISBN or a PMID;<b>[field "title"]</b> the document's title;<b>[field "type"]</b> the type of resource described in the row;<b>[field "omid"]</b> the id of the record as referenced in the OpenCitations Meta dataset;<b>[field "iris_id"]</b><b> </b>the id of the record as referenced in the IRIS dataset;This version of the dataset contains:117,764 bibliographic entitiesThe zipped dataset weighs 46,6 MB, while, when extracted, it weighs 131,3 MB.
DOI: 10.11583/dtu.28321829
title: Raw data for 'Dramatically Temperature-Driven Variations in Silicone-Gelatin Elastomers for Extrusion & Shape Memory Applications<b> </b>'.

description: <b>Data set description</b>The data was generated during the study 'Dramatically Temperature-Driven Variations in Silicone-Gelatin Elastomers for Extrusion & Shape Memory Applications' and it contains the raw data of the study. The data set is divided into eleven folders each corresponding to the characterization methods used in the study. The description of the content of each folder can be found in the file named 'Readme'.<b>Project description</b>The project focused on how the introduction of proteins as fillers can impact silicone elastomers’ properties. A model system was developed from aminopropyl-polydimethylsiloxane and gelatin hydrogel, which can form emulsion-based mixtures that subsequently can be crosslinked into elastomers. An in-depth characterization of the materials was performed, and it was found that the elastomers obtained from the two types of mixtures have distinct properties, notably showing different mechanical properties, solvent absorption, and friction behavior.
DOI: 10.11583/dtu.28321829.v1
title: Raw data for 'Dramatically Temperature-Driven Variations in Silicone-Gelatin Elastomers for Extrusion & Shape Memory Applications<b> </b>'.

description: <b>Data set description</b>The data was generated during the study 'Dramatically Temperature-Driven Variations in Silicone-Gelatin Elastomers for Extrusion & Shape Memory Applications' and it contains the raw data of the study. The data set is divided into eleven folders each corresponding to the characterization methods used in the study. The description of the content of each folder can be found in the file named 'Readme'.<b>Project description</b>The project focused on how the introduction of proteins as fillers can impact silicone elastomers’ properties. A model system was developed from aminopropyl-polydimethylsiloxane and gelatin hydrogel, which can form emulsion-based mixtures that subsequently can be crosslinked into elastomers. An in-depth characterization of the materials was performed, and it was found that the elastomers obtained from the two types of mixtures have distinct properties, notably showing different mechanical properties, solvent absorption, and friction behavior.
DOI: 10.15468/dl.fggs9u
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Euphonia violacea)",
 "Country is one of (Afghanistan, Armenia, Azerbaijan, Bahrain, Bangladesh, Bhutan, Brunei Darussalam, Cambodia, China, Cyprus, Georgia, Hong Kong, India, Indonesia, Iran (Islamic Republic of), Iraq, Israel, Japan, Jordan, Kazakhstan, Korea (Democratic People’s Republic of), Korea, Republic of, Kuwait, Kyrgyzstan, Lao People’s Democratic Republic, Lebanon, Macao, Malaysia, Maldives, Mongolia, Myanmar, Nepal, Oman, Pakistan, Palestine, State of, Philippines, Qatar, Saudi Arabia, Singapore, Sri Lanka, Syrian Arab Republic, Tajikistan, Thailand, Timor-Leste, Türkiye, Turkmenistan, United Arab Emirates, Uzbekistan, Viet Nam, Yemen)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024706-250802193616735/datasets/export for details.
DOI: 10.5285/d24cd5dd66064d7b84350b2495227836
title: WesCon: Met Office surface to 16 m meteorology, radiation and subsoil measurements from   Airfield Camp, Netheravon, v1.0 (20230421-20230914)

description: A continuous hydrometeorological record of the temporary Met Office Observation-based research site at Netheravon, Wiltshire (51.241°N, -1.777°W, 120 m amsl) in southern England during the summer of 2023. Netheravon formed a supersite for the Wessex Summertime Convection Experiment (WesCon)/WesCon - Observing the Evolving Structures of Turbulence (WOEST) field campaign. This dataset contains recorded surface meteorology, radiation and subsoil measurements from sensors mounted on a combination of 1.2 m, 2 m and 16 m masts at 1, 5, 10, and 30 minute averaging periods.

Instruments mounted on 1.2m, 2 m and 16 m masts include:
• Vector Instruments T302 PRT temperature sensors.
• Screened and aspirated HMP155s for measuring temperature and relative humidity.
• Gill HS50 3-D horizontally symmetric ultrasonic anemometers for winds and turbulent heat fluxes.
• Licor Li-7500 high-speed open-path hygrometer was located at 16 m.
• Delta-T BS5 measured barometric pressure at 1.5 m.

Surface instrumentation includes:
• Rainfall is measured with a EML SB500 tipping-bucket gauge with a 0.2 mm accuracy.
• Screened and aspirated Rotronics Hydroclip2 measured grass canopy (8 cm) air temperature and RH.
Radiation instrumentation includes:
• Clear-domed Kipp and Zonen CMP21 pyranometers located at 2 m measured global downwelling, and upwelling components (of wavelength between 0.3-3 μm).
• Kipp and Zonen CG4 pyrgeometers located at 2 m measured the downwelling and upwelling longwave radiation (4.5–40 μm).
• Grass and concrete skin temperatures were measured radiometrically with the Heitronics KT15 pyrometer.

Aerosol and visibility instrumentation includes:

• A Campbell CS120 visiometer located at 2 m measured visual range through air (visibility)
Subsoil instrumentation includes:
• Delta-T ML3 theta probes measured volumetric soil moisture at the surface (0-5 cm) and 10 cm depths.
• Delta-T ST1 thermistor probes measured soil temperature at 1, 4, 10, 17 cm depths.
• Hukseflux HFP01SC flux plate measured ground heat flux (2 cm depth).


These data conform to the NCAS data standards and are available under the UK Government Open Licence agreement. Acknowledgement of NCAS as the data provider is required whenever and wherever these data are used.
DOI: 10.15468/dl.c4utad
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Camellia dehungensis, Camellia aurea)"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024709-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v669na
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Euphonia violacea)",
 "Country is one of (Bermuda, Canada, Greenland, Saint Pierre and Miquelon, United States of America)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024705-250802193616735/datasets/export for details.
DOI: 10.15468/dl.2f7zkw
title: Occurrence Download

description: A dataset containing 196 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Ptilinopus granulifrons)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 196 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024708-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3htxfz
title: Occurrence Download

description: A dataset containing 2079 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Ptilinopus greyi)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 2079 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024710-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e7fqhd
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rangifer tarandus",
 "Country is Argentina",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024711-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ru88bv
title: Occurrence Download

description: A dataset containing 123878 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is USA.12_1",
 "TaxonKey is Zosterops japonicus"
 ]
}

 The dataset includes 123878 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024625-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p7cn2f
title: Occurrence Download

description: A dataset containing 924 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rangifer tarandus",
 "Country is Iceland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 924 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024712-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ne2e2h
title: Occurrence Download

description: A dataset containing 451 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Ptilinopus insolitus)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 451 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024714-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fn2ah9
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Euphonia violacea)",
 "Country is one of (American Samoa, Australia, Christmas Island, Cocos (Keeling) Islands, Cook Islands, Fiji, French Polynesia, Guam, Heard Island and McDonald Islands, Kiribati, Marshall Islands, Micronesia (Federated States of), Nauru, New Caledonia, New Zealand, Niue, Norfolk Island, Northern Mariana Islands, Palau, Papua New Guinea, Pitcairn, Samoa, Solomon Islands, Tokelau, Tonga, Tuvalu, United States Minor Outlying Islands, Vanuatu, Wallis and Futuna)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024715-250802193616735/datasets/export for details.
DOI: 10.6084/m9.figshare.29851304
title: Supplementary Material for: Cancer-associated retinopathy and optic neuropathy in a patient with lung adenocarcinoma

description: Paraneoplastic vision loss includes a heterogenous group of ocular disorders that occur in the setting of systemic malignancy. The presenting symptoms are variable, but typically include vision loss that is painless, subacute in onset, and ultimately bilateral. The underlying mechanism is thought to involve molecular mimicry due to structural homology between ocular and cancer antigens. Presentations of paraneoplastic vision loss include cancer-associated retinopathy, paraneoplastic optic neuropathy, paraneoplastic vitelliform maculopathy, bilateral diffuse uveal melanocytic proliferation, melanoma-associated retinopathy, and opsoclonus-myoclonus syndrome. Very few cases have reported simultaneous retinopathy and optic neuropathy. Here we present the case of a 36-year-old female who developed complete vision loss in the right eye, with both retina and optic nerve changes. Extensive investigation revealed a non-mucinous lung adenocarcinoma. We suggest use of the term CARON (Cancer-Associated Retinopathy and Optic Neuropathy) for cases such as these.
DOI: 10.6084/m9.figshare.29851304.v1
title: Supplementary Material for: Cancer-associated retinopathy and optic neuropathy in a patient with lung adenocarcinoma

description: Paraneoplastic vision loss includes a heterogenous group of ocular disorders that occur in the setting of systemic malignancy. The presenting symptoms are variable, but typically include vision loss that is painless, subacute in onset, and ultimately bilateral. The underlying mechanism is thought to involve molecular mimicry due to structural homology between ocular and cancer antigens. Presentations of paraneoplastic vision loss include cancer-associated retinopathy, paraneoplastic optic neuropathy, paraneoplastic vitelliform maculopathy, bilateral diffuse uveal melanocytic proliferation, melanoma-associated retinopathy, and opsoclonus-myoclonus syndrome. Very few cases have reported simultaneous retinopathy and optic neuropathy. Here we present the case of a 36-year-old female who developed complete vision loss in the right eye, with both retina and optic nerve changes. Extensive investigation revealed a non-mucinous lung adenocarcinoma. We suggest use of the term CARON (Cancer-Associated Retinopathy and Optic Neuropathy) for cases such as these.
DOI: 10.15468/dl.qxykbg
title: Occurrence Download

description: A dataset containing 25 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rangifer tarandus",
 "Country is Poland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 25 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024713-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v8uukf
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Euphonia violacea)",
 "Country is one of (Åland Islands, Albania, Andorra, Austria, Belarus, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Czechia, Denmark, Estonia, Faroe Islands, Finland, France, Germany, Gibraltar, Greece, Guernsey, Holy See, Hungary, Iceland, Ireland, Isle of Man, Italy, Jersey, Latvia, Liechtenstein, Lithuania, Luxembourg, Malta, Moldova, Republic of, Monaco, Montenegro, Netherlands, North Macedonia, Norway, Poland, Portugal, Romania, Russian Federation, San Marino, Serbia, Slovakia, Slovenia, Spain, Svalbard and Jan Mayen, Sweden, Switzerland, Ukraine, United Kingdom of Great Britain and Northern Ireland)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024716-250802193616735/datasets/export for details.
DOI: 10.15468/dl.zjgdjr
title: Occurrence Download

description: A dataset containing 1168 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Ptilinopus hyogastrus)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 1168 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024717-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16759256
title: A cost-efficient and robust approach to monitor ecosystem photosynthesis using near-infrared enabled cameras

description: This is the data and code to analyze the relationship between near-infrared reflectance and photosynthetically active radiation (NIRvP) and gross primary productivity (GPP) using near-infrared enabled cameras across eddy covariance sites. For more details on scientific implications, methodology and validation, please refer to the manuscript:

 

Syahid, L. N., Luo, X., Zhao, R., Yu, L., Tan, L. M., Detto, M., Sonnentag, O. (2025). A cost-efficient and robust approach to monitor ecosystem photosynthesis using near-infrared enabled cameras. Journal of Geophysical Research: Biogeosciences. Under review

 





The folders we provide include:



 





1. data  

   Including the processed data from this study:



Folder `weekly_NIRvP-GPP/`: contains 28 files, each representing weekly NIRvP and GPP data from one station. Used to generate Figure 1, 2, 5, and 6.

File `Regression_Result.csv`: contains annual linear regression results for all stations. Used to generate Figure 3.

File `predicted_conversion_factors.csv`: contains NIRvP, GPP and predicted conversion factor in the global scale resulted from machine learning. Used to generated Figure 4.


2. code



`1_Processing_GPP.py`: to process GPP data from flux towers.

`2_Processing_NIRvP.py`: to process phenocam data and calculate NIRvP.

`3_Fig1_5_6.py`: to generate Figure 1, 5, and 6.

`4_Fig2.py`: to generate Figure 2.

`5_Fig3_4.py`: to generate Figure 3 and 4.


 

For inquiries about the dataset and the method, please contact Luri Nurlaila Syahid at lurinurlailasyahid@gmail.com or luri@nus.edu.sg
DOI: 10.5281/zenodo.16759257
title: A cost-efficient and robust approach to monitor ecosystem photosynthesis using near-infrared enabled cameras

description: This is the data and code to analyze the relationship between near-infrared reflectance and photosynthetically active radiation (NIRvP) and gross primary productivity (GPP) using near-infrared enabled cameras across eddy covariance sites. For more details on scientific implications, methodology and validation, please refer to the manuscript:

 

Syahid, L. N., Luo, X., Zhao, R., Yu, L., Tan, L. M., Detto, M., Sonnentag, O. (2025). A cost-efficient and robust approach to monitor ecosystem photosynthesis using near-infrared enabled cameras. Journal of Geophysical Research: Biogeosciences. Under review

 





The folders we provide include:



 





1. data  

   Including the processed data from this study:



Folder `weekly_NIRvP-GPP/`: contains 28 files, each representing weekly NIRvP and GPP data from one station. Used to generate Figure 1, 2, 5, and 6.

File `Regression_Result.csv`: contains annual linear regression results for all stations. Used to generate Figure 3.

File `predicted_conversion_factors.csv`: contains NIRvP, GPP and predicted conversion factor in the global scale resulted from machine learning. Used to generated Figure 4.


2. code



`1_Processing_GPP.py`: to process GPP data from flux towers.

`2_Processing_NIRvP.py`: to process phenocam data and calculate NIRvP.

`3_Fig1_5_6.py`: to generate Figure 1, 5, and 6.

`4_Fig2.py`: to generate Figure 2.

`5_Fig3_4.py`: to generate Figure 3 and 4.


 

For inquiries about the dataset and the method, please contact Luri Nurlaila Syahid at lurinurlailasyahid@gmail.com or luri@nus.edu.sg
DOI: 10.6084/m9.figshare.25879441
title: Iris in Index

description: This dataset contains the bibliographic metadata (in Parquet format) included in OpenCitations Meta. In particular, each line of the CSV file defines a bibliographic resource, and includes the following information:<br><b>[field "id"]</b> the Open Citation Identifier (OCI) for the citation;<b>[field "citing"]</b> the OMID of the citing entity;<b>[field "cited"]</b> the OMID of the cited entity;This version of the dataset contains:7,890,642 bibliographic entitiesThe zipped dataset weighs 187,1 MB, while, when extracted, it weighs 226,9 MB.
DOI: 10.6084/m9.figshare.25879441.v3
title: Iris in Index

description: This dataset contains the bibliographic metadata (in Parquet format) included in OpenCitations Meta. In particular, each line of the CSV file defines a bibliographic resource, and includes the following information:<br><b>[field "id"]</b> the Open Citation Identifier (OCI) for the citation;<b>[field "citing"]</b> the OMID of the citing entity;<b>[field "cited"]</b> the OMID of the cited entity;This version of the dataset contains:7,890,642 bibliographic entitiesThe zipped dataset weighs 187,1 MB, while, when extracted, it weighs 226,9 MB.
DOI: 10.6084/m9.figshare.25879441.v2
title: Iris in Index

description: This dataset contains the bibliographic metadata (in Parquet format) included in OpenCitations Meta. In particular, each line of the CSV file defines a bibliographic resource, and includes the following information:<br><b>[field "id"]</b> the Open Citation Identifier (OCI) for the citation;<b>[field "citing"]</b> the OMID of the citing entity;<b>[field "cited"]</b> the OMID of the cited entity;This version of the dataset contains:7,890,642 bibliographic entitiesThe zipped dataset weighs 187,1 MB, while, when extracted, it weighs 226,9 MB.
DOI: 10.15468/dl.jxymz5
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Villaria multibracteata"
 ]
}

 The dataset includes 7 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024718-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.be28w7
title: Occurrence Download

description: A dataset containing 562566 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Fungi (S)"
 ]
}

 The dataset includes 562566 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024698-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.npu53s
title: Occurrence Download

description: A dataset containing 4524 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Ptilinopus iozonus)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 4524 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024719-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.