cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.48qvcz
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 (Cyanoloxia cyanoides (Lafresnaye, 1847))",
 "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/0016443-250525065834625/datasets/export for details.
DOI: 10.18739/a2d50g00d
title: Anchorage, Alaska modified ABoVE: Landsat-derived Annual Dominant Land Cover, 1984-2054

description: We developed a compound modeling approach that enabled us to refine the available evergreen forest category in the original Arctic Boreal Vulnerability Experiment (ABoVE) dataset (https://daac.ornl.gov/ABOVE/guides/Annual_Landcover_ABoVE.html) to include black and white spruce and hemlock. The data is a geotiff (30 meter resolution) with 17 land cover classes.
 The published paper with the methods can be found at: https://doi.org/10.3390/f14081577. This archive includes 1984, 1994, 2004, 2014 and predicted 2024, 2034, 2044, and 2054.
 Because medium resolution landcover data that include species detail are lacking, we developed a compound modeling approach that enabled us to refine the available evergreen forest category into highly flammable species and less flammable species. We then expanded our refined landcover at decadal time steps from 1984 to 2014. With the aid of an existing burn model, FlamMap, and simple succession rules, we were able to predict future landcover at decadal steps until 2054. Our resulting land covers provide important information to communities in our study area on current and future wildfire risk and vegetation changes and could be developed in a similar fashion for other areas. These data will then be used to assess wildfire hazards and risk.
DOI: 10.15468/dl.ryj8xe
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 (Cyanoloxia cyanoides (Lafresnaye, 1847))",
 "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/0016442-250525065834625/datasets/export for details.
DOI: 10.5281/zenodo.16750814
title: Outcomes and statistical analysis belonging to: Feet based IMU algorithm yields high specificity for detection of walking in daily life

description: Outcome measures and code for the statistical analysis belonging to the article:

Feet based IMU algorithms yield high specificity for detection of walking in daily life.

Submitted to 'IEEE transactions on neural systems and rehabilitation engineering'

 



Outcomes_vanMierlo.csvResults for each individual for the specificity, sensitivity and accuracy for the detection of walking using either the Sacrum, Single foot or Both feet algorithm (see the paper for more details on the algorithms). Names of the healthy individuals start with an 'H', names of the individuals with an neurological gait impairment start with an 'I'.

Statistical_analysis_vanMierlo.RR scripts for obtaining the statistical outcomes belonging to the article.
DOI: 10.5281/zenodo.16750813
title: Outcomes and statistical analysis belonging to: Feet based IMU algorithm yields high specificity for detection of walking in daily life

description: Outcome measures and code for the statistical analysis belonging to the article:

Feet based IMU algorithms yield high specificity for detection of walking in daily life.

Submitted to 'IEEE transactions on neural systems and rehabilitation engineering'

 



Outcomes_vanMierlo.csvResults for each individual for the specificity, sensitivity and accuracy for the detection of walking using either the Sacrum, Single foot or Both feet algorithm (see the paper for more details on the algorithms). Names of the healthy individuals start with an 'H', names of the individuals with an neurological gait impairment start with an 'I'.

Statistical_analysis_vanMierlo.RR scripts for obtaining the statistical outcomes belonging to the article.
DOI: 10.5281/zenodo.18190723
title: A 25-Year Daily Gap-Filled Global Ocean Colour Product

description: OverviewThis dataset provides a global, daily, gap-filled ocean-colour product covering the period 2000–2024 at a spatial resolution of 9 km. It is designed as an analysis-ready record for marine ecological monitoring and long-term studies.

Input data sourceThe input observations are derived from the European Space Agency (ESA) Ocean Colour Climate Change Initiative (OC-CCI) Version 6.0 multi-sensor daily products.

Reconstruction methodThe product was generated using a GPU-accelerated Discrete Cosine Transform–Penalized Least Squares (DCT–PLS) spatiotemporal reconstruction framework. The method fills structured gaps caused by clouds and orbital sampling by leveraging the intrinsic spatiotemporal coherence of the ocean-colour record, without requiring external predictor variables.

Variables in this collection

1.     Chlorophyll-a (Chl-a) — available (split into three time blocks)

2.     Diffuse attenuation coefficient at 490 nm [Kd(490)] — uploading in progress

3.     Remote-sensing reflectance (Rrs) — uploading in progress

 

Download links (code and data)

1)  DCT–PLS reconstruction code

Link: uploading in progres

2)  Chl-a (global, daily, gap-filled, 9 km)

2000–2007, Link: https://doi.org/10.5281/zenodo.17866710

2008–2015, Link: https://doi.org/10.5281/zenodo.17873692

2016–2024, Link: https://doi.org/10.5281/zenodo.17873707

 

3)  Kd(490) (global, daily, gap-filled, 9 km)

2000–2007, Link: https://doi.org/10.5281/zenodo.18278120 

2008–2015, Link: uploading in progress (link will be added once available)

2016–2024, Link: uploading in progress (link will be added once available)

 

4)  Rrs (global, daily, gap-filled, 9 km)

Rrs443: uploading in progress

Rrs490: uploading in progress

Rrs510: uploading in progress

Rrs560: uploading in progress

Rrs665: uploading in progress

 

 

Recommended citation

The paper detailing this specific ocean-colour reconstruction is currently under review. For now, please consider the following related work:





https://doi.org/10.5194/essd-16-4793-2024




https://doi.org/10.1016/j.rse.2023.113596



 

Contact



Email: zhangyuan_cumt@cumt.edu.cn

Institution: School of Resources and Geosciences, China University of Mining and Technology, Xuzhou, China

Orcid: https://orcid.org/0009-0006-0146-0385

ResearchGate: https://www.researchgate.net/profile/Yuan-Zhang-249
DOI: 10.5281/zenodo.18190722
title: A 25-Year Daily Gap-Filled Global Ocean Colour Product

description: OverviewThis dataset provides a global, daily, gap-filled ocean-colour product covering the period 2000–2024 at a spatial resolution of 9 km. It is designed as an analysis-ready record for marine ecological monitoring and long-term studies.

Input data sourceThe input observations are derived from the European Space Agency (ESA) Ocean Colour Climate Change Initiative (OC-CCI) Version 6.0 multi-sensor daily products.

Reconstruction methodThe product was generated using a GPU-accelerated Discrete Cosine Transform–Penalized Least Squares (DCT–PLS) spatiotemporal reconstruction framework. The method fills structured gaps caused by clouds and orbital sampling by leveraging the intrinsic spatiotemporal coherence of the ocean-colour record, without requiring external predictor variables.

Variables in this collection

1.     Chlorophyll-a (Chl-a) — available (split into three time blocks)

2.     Diffuse attenuation coefficient at 490 nm [Kd(490)] — uploading in progress

3.     Remote-sensing reflectance (Rrs) — uploading in progress

 

Download links (code and data)

1)  DCT–PLS reconstruction code

Link: uploading in progres

2)  Chl-a (global, daily, gap-filled, 9 km)

2000–2007, Link: https://doi.org/10.5281/zenodo.17866710

2008–2015, Link: https://doi.org/10.5281/zenodo.17873692

2016–2024, Link: https://doi.org/10.5281/zenodo.17873707

 

3)  Kd(490) (global, daily, gap-filled, 9 km)

2000–2007, Link: https://doi.org/10.5281/zenodo.18278120 

2008–2015, Link: uploading in progress (link will be added once available)

2016–2024, Link: uploading in progress (link will be added once available)

 

4)  Rrs (global, daily, gap-filled, 9 km)

Rrs443: uploading in progress

Rrs490: uploading in progress

Rrs510: uploading in progress

Rrs560: uploading in progress

Rrs665: uploading in progress

 

 

Recommended citation

The paper detailing this specific ocean-colour reconstruction is currently under review. For now, please consider the following related work:





https://doi.org/10.5194/essd-16-4793-2024




https://doi.org/10.1016/j.rse.2023.113596



 

Contact



Email: zhangyuan_cumt@cumt.edu.cn

Institution: School of Resources and Geosciences, China University of Mining and Technology, Xuzhou, China

Orcid: https://orcid.org/0009-0006-0146-0385

ResearchGate: https://www.researchgate.net/profile/Yuan-Zhang-249
DOI: 10.15468/dl.c3ug46
title: Occurrence Download

description: A dataset containing 685 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Nepal",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Axis axis",
 "Year 2010-2026"
 ]
}

 The dataset includes 685 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005211-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4k23hc
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Culex telesilla)"
 ]
}

 The dataset includes 24 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005213-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18449661
title: Tree regeneration after unprecedented forest disturbances in Central Europe is robust but maladapted to future climate change

description: Overview

This repository contains the core R scripts used for the analysis presented in the manuscript:

Tree regeneration after unprecedented forest disturbances in Central Europe is robust but maladapted to future climate change, by  M. Potterf et al., 2026, published in Global Change Biology, 10.1111/gcb.70734

The scripts analyze post-disturbance tree regeneration patterns across 849 field plots in 10 Central European countries and assess their climatic suitability under future climate scenarios.

All scripts are organized in a modular pipeline, from data exploration to statistical modeling and simulation outputs.

📁 Folder Structure

public/├── code/ # Analysis scripts (00–05)├── data/ # Cleaned input data├── figs/ # Output figures├── model/ # iLand simulation outputs├── tables/ # Results for manuscript

---

📜 Script Descriptions

### `00_paths_functions.R`Sets ups the working directory. contains the paths to teh main files. Utility and helper functions used across other scripts (e.g., data wrangling, plotting themes, model setup).  ➡️ Load this script at the beginning of all others.

---

### `01_analyse_structure.R`Analyzes **field-observed regeneration structure and composition**.

**Outputs:**- Stem density and vertical layer composition  - Species richness and frequency across plots  - Summary tables and plots supporting early recovery results (Figure 1, Table S1–S2)

---

### `02_model_drivers.R`Fits **Generalized Additive Models (GAMs)** to identify climatic, soil, and disturbance predictors of stem density.

**Core analyses:**- Tweedie-distributed GAMs (with spatial smooth)  - Model selection via univariate AIC and drop-one tests  - Outputs support Figures 2 and S2–S4, Table S3–S5

---

### `03_compare_adv_del_conditions_wilcox.R`Compares **site conditions** between delayed vs. advanced regeneration using non-parametric Wilcoxon tests.

**Implements:**- Classification into regeneration types  - Statistical testing and visualization (Figure 3, Table S4)

---

### `04_forest_simulation.R`Processes **iLand simulation outputs** for 30-year regeneration projections.

**Includes:**- Infilling dynamics  - Seed input sensitivity (Figure S5)

---

### `05_climate_suitability.R`Evaluates **long-term climatic suitability** of regenerating species using species distribution models (SDMs).

**Calculates:**- Species-/plot-level climatic suitability under RCP2.6, 4.5, 8.5  - Supports Figure 4, Table 1, Table S6

---
DOI: 10.5281/zenodo.18449662
title: Tree regeneration after unprecedented forest disturbances in Central Europe is robust but maladapted to future climate change

description: Overview

This repository contains the core R scripts used for the analysis presented in the manuscript:

Tree regeneration after unprecedented forest disturbances in Central Europe is robust but maladapted to future climate change, by  M. Potterf et al., 2026, published in Global Change Biology, 10.1111/gcb.70734

The scripts analyze post-disturbance tree regeneration patterns across 849 field plots in 10 Central European countries and assess their climatic suitability under future climate scenarios.

All scripts are organized in a modular pipeline, from data exploration to statistical modeling and simulation outputs.

📁 Folder Structure

public/├── code/ # Analysis scripts (00–05)├── data/ # Cleaned input data├── figs/ # Output figures├── model/ # iLand simulation outputs├── tables/ # Results for manuscript

---

📜 Script Descriptions

### `00_paths_functions.R`Sets ups the working directory. contains the paths to teh main files. Utility and helper functions used across other scripts (e.g., data wrangling, plotting themes, model setup).  ➡️ Load this script at the beginning of all others.

---

### `01_analyse_structure.R`Analyzes **field-observed regeneration structure and composition**.

**Outputs:**- Stem density and vertical layer composition  - Species richness and frequency across plots  - Summary tables and plots supporting early recovery results (Figure 1, Table S1–S2)

---

### `02_model_drivers.R`Fits **Generalized Additive Models (GAMs)** to identify climatic, soil, and disturbance predictors of stem density.

**Core analyses:**- Tweedie-distributed GAMs (with spatial smooth)  - Model selection via univariate AIC and drop-one tests  - Outputs support Figures 2 and S2–S4, Table S3–S5

---

### `03_compare_adv_del_conditions_wilcox.R`Compares **site conditions** between delayed vs. advanced regeneration using non-parametric Wilcoxon tests.

**Implements:**- Classification into regeneration types  - Statistical testing and visualization (Figure 3, Table S4)

---

### `04_forest_simulation.R`Processes **iLand simulation outputs** for 30-year regeneration projections.

**Includes:**- Infilling dynamics  - Seed input sensitivity (Figure S5)

---

### `05_climate_suitability.R`Evaluates **long-term climatic suitability** of regenerating species using species distribution models (SDMs).

**Calculates:**- Species-/plot-level climatic suitability under RCP2.6, 4.5, 8.5  - Supports Figure 4, Table 1, Table S6

---
DOI: 10.15468/dl.8tm8g9
title: Occurrence Download

description: A dataset containing 307 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Culex decens)"
 ]
}

 The dataset includes 307 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005219-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jd7vyu
title: Occurrence Download

description: A dataset containing 91544 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cypripedium calceolus"
 ]
}

 The dataset includes 91544 records from 531 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005157-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mhuvdt
title: Occurrence Download

description: A dataset containing 139 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Material citation",
 "Country is Nepal",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Axis axis",
 "Year 2010-2026"
 ]
}

 The dataset includes 139 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005222-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18449755
title: Analyzing Factors Enablers and Inhibitors of Robo-Advisor Adoption in Investment Apps by Indonesian Gen-Z

description: This dataset supports the undergraduate thesis “Analyzing Factors Enablers and Inhibitors of Robo-Advisor Adoption in Investment Apps by Indonesian Gen-Z.” It contains research data collected to examine the drivers and barriers that influence Indonesian Generation Z users’ adoption of robo-advisory features in investment applications. The dataset is intended to enable transparency, reproducibility, and further academic research on fintech adoption, robo-advisors, and digital investing behavior in emerging markets.

The Zenodo record includes:





Survey instrument / questionnaire (if included): items used to measure constructs related to adoption.




Raw survey responses (anonymized): individual-level responses without direct identifiers.




Cleaned/processed dataset: data after cleaning, coding, and validation steps.




Codebook / data dictionary: variable names, descriptions, response scales, and coding scheme
DOI: 10.5281/zenodo.18449821
title: Test für die Daten

description: Samples from sheep and cattle were tested for antibodies against pestivirus by ELISA from 2023 to 2025. The antibodies were then differentiated by VNT as specific for BVDV or BDV. The dataset includes the results of the antibody ELISA and the VNT.
DOI: 10.15468/dl.uegzsq
title: Occurrence Download

description: A dataset containing 176 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Austria",
 "OccurrenceStatus is Present",
 "TaxonKey is Procyon lotor"
 ]
}

 The dataset includes 176 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005226-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rjf5bq
title: Occurrence Download

description: A dataset containing 8758 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Tetragonisca angustula)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 8758 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005227-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bzynfm
title: Occurrence Download

description: A dataset containing 1972 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Culex antennatus)"
 ]
}

 The dataset includes 1972 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005229-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13140/rg.2.2.29317.41441
title: CLIMATE CHANGE, AGRICULTURAL OUTPUT AND FOOD SECURITY IN NIGERIA JECP CLIMATE CHANGE, AGRICULTURAL OUTPUT AND FOOD SECURITY IN NIGERIA: AN EMPIRICAL ANALYSIS
DOI: 10.5281/zenodo.18449866
title: Data from: Photosynthesis and growth in macroalgae: linking functional-form and power scaling approaches.

description: TO BE FINISHED



species_id

species_full_name

morphological_group

taxonomic_group

location

tidal_position

habitat

dw_fw_ratio_mean

dw_fw_ratio_sd

dw_fw_ratio_n

nitrogen_content_mean

nitrogen_content_sd

nitrogen_content_n

delta_nitrogen_mean

delta_nitrogen_sd

delta_nitrogen_n

carbon_content_mean

carbon_content_sd

carbon_content_n

delta_carbon_mean

delta_carbon_sd

delta_carbon_n

sa_b_ratio_mean

sa_b_ra_sd

sa_b_ra_n

net_photosynthesis_rate_mean

net_photosynthesis_rate_sd

net_photosynthesis_rate_n

respiration_rate_mean

respiration_rate_sd

respiration_rate_n

gross_photosynthesis_rate_mean

gross_photosynthesis_rate_sd

gross_photosynthesis_rate_n

grpwth_rate_mean

grpwth_rate_sd

grpwth_rate_n
DOI: 10.5281/zenodo.18449865
title: Data from: Photosynthesis and growth in macroalgae: linking functional-form and power scaling approaches.

description: TO BE FINISHED



species_id

species_full_name

morphological_group

taxonomic_group

location

tidal_position

habitat

dw_fw_ratio_mean

dw_fw_ratio_sd

dw_fw_ratio_n

nitrogen_content_mean

nitrogen_content_sd

nitrogen_content_n

delta_nitrogen_mean

delta_nitrogen_sd

delta_nitrogen_n

carbon_content_mean

carbon_content_sd

carbon_content_n

delta_carbon_mean

delta_carbon_sd

delta_carbon_n

sa_b_ratio_mean

sa_b_ra_sd

sa_b_ra_n

net_photosynthesis_rate_mean

net_photosynthesis_rate_sd

net_photosynthesis_rate_n

respiration_rate_mean

respiration_rate_sd

respiration_rate_n

gross_photosynthesis_rate_mean

gross_photosynthesis_rate_sd

gross_photosynthesis_rate_n

grpwth_rate_mean

grpwth_rate_sd

grpwth_rate_n
DOI: 10.34740/kaggle/dsv/14698581
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.gtf3ax
title: Occurrence Download

description: A dataset containing 728 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Heritiera littoralis",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 728 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005231-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.