cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.3p9ayv
title: Occurrence Download

description: A dataset containing 106669 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Euphydryas aurinia (Rottemburg, 1775)",
 "CoordinateUncertaintyInMeters is less than 10000",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "Year is greater than or equal to 1990",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 106669 records from 450 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0158246-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17335652
title: translate_Krygyz.csv
DOI: 10.5281/zenodo.17335653
title: translate_Krygyz.csv
DOI: 10.6084/m9.figshare.29329576
title: Exploring stable isotope patterns in monthly precipitation across Southeast Asia using contemporary deep learning models and SHapley Additive exPlanations (SHAP) techniques

description: Stable isotopes are crucial for understanding water cycles and climate dynamics, particularly in tropical regions. However, establishing and maintaining precipitation sampling stations in Southeast Asia is challenging due to high costs and logistical issues. Consequently, many areas in this region have limited or no sampling stations with adequate stable isotope data. To address this problem, developing models that simulate stable isotope contents using machine learning (ML) techniques, especially deep learning, is a promising solution. In this study, the influence of large-scale climate modes (teleconnection indices) and local meteorological parameters on the stable isotope contents of precipitation was examined across six key stations in Southeast Asia, including Bangkok, Kuala Lumpur, Jakarta, Kota Bharu, Jayapura, and Singapore. A deep neural network (DNN) model was applied for simulation, and its performance was compared with a partial least squares regression (PLSR) model using various evaluation metrics. The DNN consistently demonstrated superior accuracy across all studied stations, highlighting the efficacy of DNNs, in accurately simulating stable isotope contents in tropical precipitation. The importance ranking derived from the SHapley Additive exPlanations (SHAP) technique aligns perfectly with the results obtained from the DNN importance function. In addition, the SHAP summary plot highlights the contributions of key features, such as precipitation and potential evaporation, to the model's predictions. The dependence plots further illustrate the relationship between these features and the predicted response, revealing nonlinear interactions that influence model behaviour. This research provides new insights into the complex interactions between large-scale climate drivers and local weather patterns, advancing the use of ML for isotope-based climate studies. The techniques used in this study offer a framework for applying ML to isotope analysis in tropical climates and can be extended to similar regions worldwide.
DOI: 10.6084/m9.figshare.29329576.v1
title: Exploring stable isotope patterns in monthly precipitation across Southeast Asia using contemporary deep learning models and SHapley Additive exPlanations (SHAP) techniques

description: Stable isotopes are crucial for understanding water cycles and climate dynamics, particularly in tropical regions. However, establishing and maintaining precipitation sampling stations in Southeast Asia is challenging due to high costs and logistical issues. Consequently, many areas in this region have limited or no sampling stations with adequate stable isotope data. To address this problem, developing models that simulate stable isotope contents using machine learning (ML) techniques, especially deep learning, is a promising solution. In this study, the influence of large-scale climate modes (teleconnection indices) and local meteorological parameters on the stable isotope contents of precipitation was examined across six key stations in Southeast Asia, including Bangkok, Kuala Lumpur, Jakarta, Kota Bharu, Jayapura, and Singapore. A deep neural network (DNN) model was applied for simulation, and its performance was compared with a partial least squares regression (PLSR) model using various evaluation metrics. The DNN consistently demonstrated superior accuracy across all studied stations, highlighting the efficacy of DNNs, in accurately simulating stable isotope contents in tropical precipitation. The importance ranking derived from the SHapley Additive exPlanations (SHAP) technique aligns perfectly with the results obtained from the DNN importance function. In addition, the SHAP summary plot highlights the contributions of key features, such as precipitation and potential evaporation, to the model's predictions. The dependence plots further illustrate the relationship between these features and the predicted response, revealing nonlinear interactions that influence model behaviour. This research provides new insights into the complex interactions between large-scale climate drivers and local weather patterns, advancing the use of ML for isotope-based climate studies. The techniques used in this study offer a framework for applying ML to isotope analysis in tropical climates and can be extended to similar regions worldwide.
DOI: 10.24416/uu01-jv9nzu
title: Post-Polymerization Modification of Polyethylene through Photochemical Oximation and Consecutive Ketonization via an Iminoxyl Radical

description: The data package contains the spectroscopic data (NMR, FTIR & EPR), thermoanalytic data (TGA & DSC), chromatographic data (GPC), lap shear testing and tensile testing data for this publication. See the readme file for more detailed information.
DOI: 10.5281/zenodo.18568501
title: Raw data for "Bioinspired trailing edge serrations for vertical axis wind turbine blades in urban environments: performance effects"

description: This record contains the files with the raw data for the building up of the Journal Article entitled: "Bioinspired trailing edge serrations for vertical axis wind turbine blades in urban environments: performance effects"
DOI: 10.5281/zenodo.18568502
title: Raw data for "Bioinspired trailing edge serrations for vertical axis wind turbine blades in urban environments: performance effects"

description: This record contains the files with the raw data for the building up of the Journal Article entitled: "Bioinspired trailing edge serrations for vertical axis wind turbine blades in urban environments: performance effects"
DOI: 10.24416/uu01-2ebext
title: Hazard and Risk Assessment tool for the Groningen Gas Field, the Netherlands [updated]

description: In October 2012, NAM (Nederlandse Aardolie Maatschappij BV) commenced with the study and data acquisition research program for induced seismicity in the Groningen gas field, North Netherlands. One of the aims of this program was to prepare a probabilistic seismic hazard and risk assessment (HRA) for the full area affected by the earthquakes induced by gas production from the Groningen gas field. To this end, a code was developed in C software, to calculate hazard and risk metrics. The tool uses the Monte Carlo approach, which was thought to be the most flexible approach allowing in the future potentially very complex computations to be incorporated in the tool and a large range of potential risk metrics to be evaluated. A drawback of the Monte Carlo approach is the high required computing time and large memory requirement. For optimal performance, the authors suggest to run the HRA-code on a mainframe computer. Post-processing suites are implemented and provided in Python. NAM is now making these codes openly available through the Dutch research infrastructure EPOS-NL. The model version that is made available is the model used by NAM for their last hazard and risk assessment in March 2020, with an update of the calibration of the seismicity model performed early 2023. Comprehensive documentation on model use is also provided. The present code was co-developed by a large team of programmers at Alten Netherlands. Corresponding author: Jan van Elk (jan.van-elk@shell.com). 

There is an updated version of this data package been published. You can find it here; https://doi.org/10.24416/UU01-Z58L9K
DOI: 10.24416/uu01-le4a3g
title: Post-Polymerization Modification of Polyethylene through Photochemical Oximation and Consecutive Ketonization via an Iminoxyl Radical

description: The data package contains the spectroscopic data (NMR, FTIR & EPR), thermoanalytic data (TGA & DSC), chromatographic data (GPC), lap shear testing and tensile testing data for this publication. See the readme file for more detailed information.
DOI: 10.24416/uu01-04qzeg
title: HYDE data for the Global Carbon Budget (2021)

description: This HYDE version is used as input for the 2021 Global Carbon Budget estimate, version hyde32
DOI: 10.24416/uu01-pcpaxy
title: Post-Polymerization Modification of Polyethylene through Photochemical Oximation and Consecutive Ketonization

description: The data package contains the spectroscopic data (NMR, FTIR & EPR), thermoanalytic data (TGA & DSC), chromatographic data (GPC), lap shear testing and tensile testing data for this publication. See the readme file for more detailed information.
DOI: 10.24416/uu01-wzn5hw
title: Post-Polymerization Modification of Polyethylene through Photochemical Oximation and Consecutive Ketonization

description: The data package contains the spectroscopic data (NMR, FTIR & EPR), thermoanalytic data (TGA & DSC), chromatographic data (GPC), lap shear testing and tensile testing data for this publication. See the readme file for more detailed information.
DOI: 10.24416/uu01-d82eac
title: HYDE data for the Global Carbon Budget (2022)

description: This HYDE version is used as input for the 2022 Global Carbon Budget estimate, version hyde32_MapBiomas_v12

Major updates:
•	Use of different remote sensing imagery (MODIS) and statistics (MapBiomas) for Brazil for the 1985-2020 period (MapBiomas c6 version).
•	Extension of the database to year 2022 
•	More input on sub-national level for cropland and grazing land
•	netCDF added as output format

This GCB release contains: a Baseline estimate scenario, a Lower estimate scenario and an Upper estimate scenario.
DOI: 10.24416/uu01-982m0e
title: Post-Polymerisation Oxyfunctionalisation of Styrene and Butadiene-Based (Co-)Polymers using a Homogeneous Manganese Catalyst

description: The data package contains the spectroscopic data (NMR, FTIR & ESI and UV-Vis), thermoanalytic data (TGA & DSC) and chromatographic data (GPC),  data for this publication. See the readme file for more detailed information
DOI: 10.5285/f9993ee9-085f-42cf-b008-5373526b2bcf
title: Gentoo penguin nesting chronology at Bird Island, South Georgia, from 1988 to 2019 - VERSION 1.0

description: The chronology of Gentoo penguins on Bird Island, South Georgia has been monitored since 1988 (no data for 1989-90 or 1990-91). 30 nests are marked in the colony at Square Pond, and 40 in the Johnson Beach colony. Regular checks are made to record when eggs are laid and the peak laying date (when 75% of nests have eggs) is calculated.

**** PLEASE BE ADVISED TO USE VERSION 2.0 DATA *****

The VERSION 2.0 data set (see 'Related Data Set Metadata' link below) has been extended with five additional years of data. No changes have been made to the data included in VERSION 1.0.

This work was funded by Natural Environment Research Council (UK) core funding to the British Antarctic Survey.
description: Colony checks at Square Pond and Johnson Beach are started on or around 7 October. The colonies are checked regularly (every 3-4 days) until nest building begins. Once nest building has started, nests are marked. At Johnson: 40 concrete flagged nest markers are placed at random through the colony and the nest nearest to sea is taken as the study nest. At Square Pond: 30 nests are staked at random through the colony with flagged stakes. Both colonies are visited every 2 days once nests have been marked and records made of when eggs are laid in each study nest. The date when 75% of nests have at least one egg is then calculated.
DOI: 10.24416/uu01-ogxyno
title: HYDE data for the Global Carbon Budget (2023)

description: This HYDE version is used as input for the 2023 Global Carbon Budget estimate, version hyde33_MapBiomas_c7.

Major updates:
•	Radiocarbon data from the IMSET project (Marc vd Lind, pers.comm.), new estimates for EurAsia of the onset of agriculture (timing and location, gridded maps)
•	Implementation of new archaeological expertise from the ArchaeoGlobe Project (Stephens et al, 2019), onset of agriculture (timing and location per region, outside EurAsia)
•	Use of most recent and higher resolution satellite information on land cover from the European Space Agency (ESA) consortium for the spatial land use allocation on a yearly basis from 1992 – 2018.
•	Use of different remote sensing imagery (MODIS) and statistics (MapBiomas) for Brazil for the 1985-2020 period, and for Indonesia for the 2000-2019 period (MapBiomas c7 version).
•	Extension of the database to year 2023 
•	More input on sub-national level for cropland and grazing land
•	netCDF added as output format

This GCB release contains: a Baseline estimate scenario, a Lower estimate scenario and an Upper estimate scenario.
DOI: 10.24416/uu01-hvxlb0
title: Computing Marine Plankton Connectivity under Thermal Constraints

description: Data generated for manuscript 'Computing Marine Plankton Connectivity under Thermal Constraints' submitted to Frontiers in Marine Science, section Marine Ecosystem Ecology on 10 October 2022. The data consists of release locations file and mapping of locations to Lagrangian simulations, connectivity matrices, matrices from bootstrapping results and between sample station connectivities. The repository with the code to run the generate release locations, simulations and analysis is available at https://github.com/OceanParcels/atlanteco_tara_connectivity_plankton.
DOI: 10.24416/uu01-7d470v
title: History Database of the Global Environment 2.0

description: This HYDE 2.0 version is an updated version from 'The IMAGE 2 Hundred Year (1890 1990) Data Base of the Global Environment (HYDE)
 (1.0) called, and the 'A Hundred Year (1890 1990) Database for Integrated Environmental Assessments (HYDE, version 1.1).

Testing against historical data is an important step for validating integrated models of global environmental change. Owing to long time lags in the climate system, these models should aim the simulation of the land use dynamics for long periods, i.e., spanning decades up to a century. Developing such models requires understanding of past and current trends and is therefore strongly data dependent. For this purpose, a history database of the global environment has been developed: HYDE.  The period covered is 1700 to 2000. Spatial resolution is 5 arc minutes (approx. 85 km2 at the equator), the files are in ESRI ASCII grid format. Contact person: Kees Klein Goldewijk - c.g.m.kleingoldewijk@uu.nl

Please note that this is an old version.

Data are in zipped format, unpack with Winzip.
DOI: 10.24416/uu01-p8fdgp
title: Separation timescales of vertically migrating zooplankton and other (a)biotic materials in the Benguela system

description: Data generated for the manuscript titled: "Separation timescales of vertically migrating zooplankton and other (a)biotic materials in the Benguela system" and submitted to JGR Oceans. The data repository consists of simulation outputs and files generated for analysis.
DOI: 10.24416/uu01-g4ho5i
title: History Database of the Global Environment 3.1

description: This database presents an update and expansion of the History Database of the Global Environment (HYDE, v 3.1). 
HYDE is and internally consistent combination of updated historical population estimates and land use. Categories include cropland and grazing land. Population is represented by maps of total, urban, rural population and population density as well as built-up area. 
The period covered is 10 000 BCE to 2015 CE. Spatial resolution is 5 arc minutes (approx. 85 km2 at the equator), the files are in Arcmap asciigrid format. Contact person: Kees Klein Goldewijk - c.g.m.kleingoldewijk@uu.nl

Please note that this is an old version.

The HYDE 3.1 release contains 4 zipped scenarios (Final estimate, Lower estimate, Upper estimate, Other scenarios), an Anthromes_run and a Supplementary Files zip.
DOI: 10.24416/uu01-mo2ff3
title: History Database of the Global Environment 3.2

description: This database presents an update and expansion of the History Database of the Global Environment (HYDE, v 3.2.1). 
HYDE is and internally consistent combination of updated historical population estimates and land use. Categories include cropland, 
with a new distinction into irrigated and rain fed crops (other than rice) and irrigated and rain fed rice. Also grazing lands are provided, divided into more intensively used pasture, converted rangeland and non-converted natural (less intensively used) rangeland. Population is represented by maps of total, urban, rural population and population density as well as built-up area. The period covered is 10 000 BCE to 2015 CE. Spatial resolution is 5 arc minutes (approx. 85 km2 at the equator), the files are in ESRI ASCII grid format. Contact person: Kees Klein Goldewijk - c.g.m.kleingoldewijk@uu.nl
DOI: 10.24416/uu01-ybqr5k
title: Biofouled Microplastics Particle Data

description: Particle data for the paper "Modelling submerged biofouled microplastics and their vertical trajectories" in Copernicus Biogeosciences.
DOI: 10.24416/uu01-cv85gb
title: History Database of the Global Environment 2.0

description: This HYDE 2.0 version is an updated version from 'The IMAGE 2 Hundred Year (1890 1990) Data Base of the Global Environment (HYDE) (1.0) called, and the 'A Hundred Year (1890 1990) Database for Integrated Environmental Assessments (HYDE, version 1.1). Testing against historical data is an important step for validating integrated models of global environmental change. Owing to long time lags in the climate system, these models should aim the simulation of the land use dynamics for long periods, i.e., spanning decades up to a century. Developing such models requires understanding of past and current trends and is therefore strongly data dependent. For this purpose, a history database of the global environment has been developed: HYDE. The period covered is 1700 to 2000. Spatial resolution is 5 arc minutes (approx. 85 km2 at the equator), the files are in ESRI ASCII grid format. Contact person: Kees Klein Goldewijk - c.g.m.kleingoldewijk@uu.nl Please note that this is an old version. Data are in zipped format, unpack with Winzip.
DOI: 10.24416/uu01-rxa2pb
title: Simulating Lagrangian Subgrid-Scale Dispersion on Neutral Surfaces in the Ocean

description: This repository holds the Lagrangian data, Eulerian & Lagrangian data generation scripts and analysis & visualization scripts for the manuscript 'Simulating Lagrangian Subgrid-Scale Dispersion on Neutral Surfaces in the Ocean'. https://github.com/daanreijnders/isoneutral-dispersion
DOI: 10.15468/dl.q4absw
title: Occurrence Download

description: A dataset containing 118464 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Hypsipetes amaurotis)",
 "Geometry POLYGON((55.000000 4.000000, 157.000000 4.000000, 157.000000 73.000000, 55.000000 73.000000, 55.000000 4.000000))",
 "Month is one of (May, June, July)",
 "Year is greater than or equal to 2014",
 "Year is less than or equal to 2024",
 "HasCoordinate is true",
 {
 "or" : [
 "CoordinateUncertaintyInMeters is null",
 "CoordinateUncertaintyInMeters is less than or equal to 5000"
 ]
 },
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Human Observation, Observation, Machine Observation, Specimen)"
 ]
}

 The dataset includes 118464 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005370-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bjwxh7
title: Occurrence Download

description: A dataset containing 751446 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "OccurrenceStatus is Present",
 "TaxonKey is Actitis hypoleucos",
 "Year 2020-2026"
 ]
}

 The dataset includes 751446 records from 645 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005371-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.24416/uu01-8k9d7f
title: History Database of the Global Environment 3.1

description: This database presents an update and expansion of the History Database of the Global Environment (HYDE, v 3.1). HYDE is and internally consistent combination of updated historical population estimates and land use. Categories include cropland and grazing land. Population is represented by maps of total, urban, rural population and population density as well as built-up area. The period covered is 10 000 BCE to 2015 CE. Spatial resolution is 5 arc minutes (approx. 85 km2 at the equator), the files are in Arcmap asciigrid format. Contact person: Kees Klein Goldewijk - c.g.m.kleingoldewijk@uu.nl Please note that this is an old version. The HYDE 3.1 release contains 4 zipped scenarios (Final estimate, Lower estimate, Upper estimate, Other scenarios), an Anthromes_run and a Supplementary Files zip.
DOI: 10.24416/uu01-xutqn5
title: History Database of the Global Environment 3.2

description: This database presents an update and expansion of the History Database of the Global Environment (HYDE, v 3.2.1). HYDE is and internally consistent combination of updated historical population estimates and land use. Categories include cropland, with a new distinction into irrigated and rain fed crops (other than rice) and irrigated and rain fed rice. Also grazing lands are provided, divided into more intensively used pasture, converted rangeland and non-converted natural (less intensively used) rangeland. Population is represented by maps of total, urban, rural population and population density as well as built-up area. The period covered is 10 000 BCE to 2015 CE. Spatial resolution is 5 arc minutes (approx. 85 km2 at the equator), the files are in ESRI ASCII grid format. Contact person: Kees Klein Goldewijk - c.g.m.kleingoldewijk@uu.nl
DOI: 10.24416/uu01-qvigjm
title: Code and data for the Galapagos macroplastic connectivity analysis

description: Code and data for 'Detecting most effective cleanup locations using network theory to reduce marine plastic debris: A case study in the Galapagos Marine Reserve' by S.L. Ypma, Q. Bohte, A. Forryan, A.C. Naveira Garabato, A. Donnelly and E. van Sebille. Accepted for publication in the journal 'Ocean Science'.
DOI: 10.24416/uu01-aezzit
title: History Database of the Global Environment 3.3

description: This database presents an update and expansion of the History Database of the Global Environment (HYDE, v 3.3) and replaces former HYDE 3.2 version from 2017. HYDE is and internally consistent combination of updated historical population estimates and land use. Categories include cropland, with a new distinction into irrigated and rain fed crops (other than rice) and irrigated and rain fed rice. Also grazing lands are provided, divided into more intensively used pasture, converted rangeland and non-converted natural (less intensively used) rangeland. Population is represented by maps of total, urban, rural population and population density as well as built-up area. The period covered is 10 000 BCE to 2023 CE. Spatial resolution is 5 arc minutes (approx. 85 km2 at the equator), the files are in ESRI ASCII grid format. Contact person: Kees Klein Goldewijk - c.g.m.kleingoldewijk@uu.nl