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

description: A dataset containing 3824496 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "TaxonKey is Anser anser (Linnaeus, 1758)",
 "Year 2000-2024"
 ]
}

 The dataset includes 3824496 records from 1248 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011670-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13133/uniroma1/81j4cs
title: al-Fajr_1-18_1990_01_The Union of Labor and Freedoms

description: The article titled "The Union of Labor and Freedoms," authored by M. M. Niqabi, thoughtfully examines the current conditions surrounding freedoms in the country and explores the labor union's role in advocating for these liberties. It highlights both the challenges faced and the opportunities for improvement in this regard. The piece was published on 17 November 1990. The document is presented in its original Arabic language with OCR processing to enable text searchability.
DOI: 10.5285/7337c4aa-4fe5-4c8f-abe6-75deb0701e03
title: Datafiles from elevated temperature velocity-step tests in a triaxial deformation apparatus

description: Datafiles are from a suite of frictional velocity step experiments on clay-bearing fault gouges, at elevated temperatures up to 180°C. The aim was to test if varying temperature reduces the stability of clay-rich faults, measured by the rate and state friction parameter (a-b). Data were collected in the Rock Deformation Laboratory at the University of Liverpool between Oct 2021 to May 2022 by Dr. Isabel Ashman, as part of her NERC EAO DTP studentship. The datafiles are text files of both the raw voltage and calibrated measurements from triaxial deformation experiments.
The stability of synthetic kaolinite clay-bearing fault gouges was found to decrease systematically with elevated temperatures commensurate with those found at typical earthquake depths. In materials containing 25-50% clay, the stability of slip decreased with increasing temperature so that the gouges displayed unstable slip at temperatures between 100 and 180°C. At room temperature the same materials showed stable slip and velocity strengthening characteristics. The reduction in stability with increasing temperature coincides with a greater degree of compaction observed in the gouge microstructure and is inferred to result from progressive loss of water adsorbed on the clay surfaces.
These results indicate that clay-bearing fault rocks can nucleate unstable slip at conditions common to the clay-bearing brittle crust; a result that adds to the observations of mature clay-bearing faults in nature that can nucleate and propagate earthquakes.
DOI: 10.15468/dl.vp3x7v
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Singapore, Malaysia, Indonesia)",
 "TaxonKey is Narcine maculata (Shaw, 1804)",
 "Year 2000-2024"
 ]
}

 The dataset includes 5 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011285-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3k5sa2
title: Occurrence Download

description: A dataset containing 51464 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is RUS.36_1",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 51464 records from 74 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041098-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.4121/226cb04e-4370-47d0-b678-792db5be685c
title: Data and Code Underlying the Bachelor Thesis: Binarization of Historical Watermarks

description: <strong>Data and Code Underlying the Publication: Binarization of Historical Watermarks</strong>These files provide the data and code used for the Bachelor's thesis, "Binarization of Historical Watermarks: A Review of Thresholding Techniques Applied to Historical Watermark Images." The objective of this thesis was to review the effectiveness of different thresholding techniques when applied to noisy historical watermark images. To this end, several different thresholding techniques were programmatically implemented. Data was collected for both a qualitative and quantitative evaluation, separately. For the qualitative evaluation, watermarks were randomly sampled from a private watermark dataset owned and provided by the German Museum of Books and Writing (https://www.dnb.de/EN/Ueber-uns/DBSM/dbsm_node.html##sprg315370), with their permission. These sampled watermarks were thresholded using several techniques. Consenting participants were then asked to fill out a survey regarding which technique they thought was most effective for each watermark image. For qualitative data, a dataset of human sketches [1] was randomly sampled, split into test and validation sets, and noised to appear like watermarks. The F1 Score, PSNR, NRM, and MPM metrics were calculated for each pair of clean and noised images.<br>Note that all participant data is anonymized, and no original watermark data is included due to copyright restrictions.<br><strong>Organization of the data</strong>- `code.zip`: This file contains all the code used during the research. This includes implementations of thresholding techniques, as well as code used for data processing. It should be noted that none of the watermark data, either real or synthetic, is included in this file. For this reason, some paths that lead to images in the code will not work.- `qualitative_data.zip`: This file contains the anonymized survey data filled in by participants, as well as the resulting files produced by processing the survey data. A copy of the original survey is not included, since permission has not been gained to redistribute the watermark images which are included in the survey. The code used to generate the processed results can be found in `code.zip`.- `quantitative_data.zip`: This file contains `.csv` files that detail the images sampled from the Human Drawings dataset [1], and the results after processing and evaluating these images. The code used to generate the processed results can be found in `code.zip`.<br><strong>References</strong>[1] M. Eitz, J. Hays, and M. Alexa, “How do humans sketch objects?” ACM Trans. Graph., vol. 31, no. 4, pp. 1–10, Aug. 2012, doi: 10.1145/2185520.2185540.
DOI: 10.4121/226cb04e-4370-47d0-b678-792db5be685c.v1
title: Data and Code Underlying the Bachelor Thesis: Binarization of Historical Watermarks

description: <strong>Data and Code Underlying the Publication: Binarization of Historical Watermarks</strong>These files provide the data and code used for the Bachelor's thesis, "Binarization of Historical Watermarks: A Review of Thresholding Techniques Applied to Historical Watermark Images." The objective of this thesis was to review the effectiveness of different thresholding techniques when applied to noisy historical watermark images. To this end, several different thresholding techniques were programmatically implemented. Data was collected for both a qualitative and quantitative evaluation, separately. For the qualitative evaluation, watermarks were randomly sampled from a private watermark dataset owned and provided by the German Museum of Books and Writing (https://www.dnb.de/EN/Ueber-uns/DBSM/dbsm_node.html##sprg315370), with their permission. These sampled watermarks were thresholded using several techniques. Consenting participants were then asked to fill out a survey regarding which technique they thought was most effective for each watermark image. For qualitative data, a dataset of human sketches [1] was randomly sampled, split into test and validation sets, and noised to appear like watermarks. The F1 Score, PSNR, NRM, and MPM metrics were calculated for each pair of clean and noised images.<br>Note that all participant data is anonymized, and no original watermark data is included due to copyright restrictions.<br><strong>Organization of the data</strong>- `code.zip`: This file contains all the code used during the research. This includes implementations of thresholding techniques, as well as code used for data processing. It should be noted that none of the watermark data, either real or synthetic, is included in this file. For this reason, some paths that lead to images in the code will not work.- `qualitative_data.zip`: This file contains the anonymized survey data filled in by participants, as well as the resulting files produced by processing the survey data. A copy of the original survey is not included, since permission has not been gained to redistribute the watermark images which are included in the survey. The code used to generate the processed results can be found in `code.zip`.- `quantitative_data.zip`: This file contains `.csv` files that detail the images sampled from the Human Drawings dataset [1], and the results after processing and evaluating these images. The code used to generate the processed results can be found in `code.zip`.<br><strong>References</strong>[1] M. Eitz, J. Hays, and M. Alexa, “How do humans sketch objects?” ACM Trans. Graph., vol. 31, no. 4, pp. 1–10, Aug. 2012, doi: 10.1145/2185520.2185540.
DOI: 10.15468/dl.arrrpm
title: Occurrence Download

description: A dataset containing 36 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Fossil",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Amphiope"
 ]
}

 The dataset includes 36 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041128-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60719/aphrc-2025-063
title: Examining Participation and Quality of Experiences of Women in Science Technology Engineering and Mathematics: Postgraduate Training Programs and Careers in East Africa, IDRC Women in STEM

description: High quality postgraduate training in science, technology, engineering and mathematics (STEM) related disciplines in sub-Saharan Africa (SSA) is important to strengthen research evidence to advance development and ensure countries achieve the Sustainable Development Goals (SDGs). Equally, participation of women in STEM careers is vital, to ensure that countries develop economies that work for all their citizens. However, women and girls remain underrepresented in STEM due to gender stereotyping, lack of visible role models, and unsupportive policies and work environments. Therefore, there is a need to consolidate information on participation and experiences of women in STEM related postgraduate training and careers in SSA to enhance their contribution to realizing the SDGs.
The primary objective of this study is to examine the participation and experiences of women in postgraduate training, and their subsequent recruitment, retention and progression in STEM careers in East Africa. A secondary objective is to establish the gender gaps in training and career engagement in selected STEM related academic disciplines in East Africa. The descriptive study will employ a mixed methods approach, including a scoping review, qualitative interviews, and quantitative analysis of secondary data. We will synthesize results to inform the development of an effective gendered approach and framework to improve participation and experiences of women in STEM training and career engagements in SSA. We will conduct the study over a period of five years.
DOI: 10.34740/kaggle/dsv/13774443
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.fn32gv
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pleuronectes platessa",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1870",
 "Year is less than or equal to 1879"
 ]
}

 The dataset includes 14 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041131-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17624201
title: Intralaminar damage data - including residual stresses
DOI: 10.5281/zenodo.17637827
title: Intralaminar damage data - including residual stresses
DOI: 10.15468/dl.nfq6eg
title: Occurrence Download

description: A dataset containing 1261 species occurrences available in GBIF matching the query:
{
 "and" : [
 "AcceptedTaxonKey is Utricularia bifida",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1261 records from 98 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041129-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3rh7yt
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-108.8688 22.04913, -108.7188 22.04913, -108.7188 22.19913, -108.8688 22.19913, -108.8688 22.04913))"
 ]
}

 The dataset includes 17 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041132-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m5yx85
title: Occurrence Download

description: A dataset containing 1086 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Nisaetus bartelsi"
 ]
}

 The dataset includes 1086 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041133-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jrv287
title: Occurrence Download

description: A dataset containing 27 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Nomascus concolor"
 ]
}

 The dataset includes 27 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041134-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ys387a
title: Occurrence Download

description: A dataset containing 59303 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Fagopyrum esculentum",
 "HasCoordinate is true"
 ]
}

 The dataset includes 59303 records from 631 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041075-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w6cfw9
title: Occurrence Download

description: A dataset containing 269 species occurrences available in GBIF matching the query:
{
 "and" : [
 "AcceptedTaxonKey is Aconitum fukutomei",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 269 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041135-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.umjqwc
title: Occurrence Download

description: A dataset containing 40 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pleuronectes platessa",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1880",
 "Year is less than or equal to 1889"
 ]
}

 The dataset includes 40 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041136-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25381/cput.30608087
title: Development of metal matrix composites suitable for hulls and ship decks

description: This study investigated the fabrication of Aluminium Metal Matrix Composites based on the AA5083-H111 alloy, specifically reinforcing the joint region using Friction Stir Processing for potential application in marine and aerospace structures like ship hulls. The research aimed to address the critical gap concerning AA5083 reinforced with coal as an alternative, cost-effective, and sustainable material, using Silicon Carbide as a benchmark for comparison. The fabrication resulted in two composite types, AA5083/SiC and AA5083/Coal, which were compared to the unreinforced base alloy through a comprehensive suite of tests, including tensile, flexural, hardness, and microstructural analysis .
DOI: 10.25381/cput.30608087.v1
title: Development of metal matrix composites suitable for hulls and ship decks

description: This study investigated the fabrication of Aluminium Metal Matrix Composites based on the AA5083-H111 alloy, specifically reinforcing the joint region using Friction Stir Processing for potential application in marine and aerospace structures like ship hulls. The research aimed to address the critical gap concerning AA5083 reinforced with coal as an alternative, cost-effective, and sustainable material, using Silicon Carbide as a benchmark for comparison. The fabrication resulted in two composite types, AA5083/SiC and AA5083/Coal, which were compared to the unreinforced base alloy through a comprehensive suite of tests, including tensile, flexural, hardness, and microstructural analysis .
DOI: 10.15468/dl.p89xbk
title: Occurrence Download

description: A dataset containing 77 species occurrences available in GBIF matching the query:
{
 "and" : [
 "AcceptedTaxonKey is Aster takasagomontanus",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 77 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041137-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yrq2zq
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-108.7188 22.04913, -108.5688 22.04913, -108.5688 22.19913, -108.7188 22.19913, -108.7188 22.04913))"
 ]
}

 The dataset includes 17 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041138-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9gr44v
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "and" : [
 "AcceptedTaxonKey is Chaerophyllum nanhuense",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 32 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041139-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gtjkxc
title: Occurrence Download

description: A dataset containing 29 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pleuronectes platessa",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1890",
 "Year is less than or equal to 1899"
 ]
}

 The dataset includes 29 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041140-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17626505
title: Programming code for: Unlocking value: mapping invasive alien tree biomass with satellite data and machine learning to support ecological restoration

description: Programming code for: Unlocking value: Mapping invasive alien tree biomass with satellite data and machine learning for a restoration economy 

This repository hosts the code for the processing of raw biomass and satellite-derived datasets to develop an invasive alien tree biomass model.

SummaryIn this study we aim to test the performance of multi-source remote sensing-derived datasets for the estimation of biomass of invasive alien trees in South Africa.

LiDAR and field-measured invasive alien tree metrics were used to develop a regional biomass model for an alien infested region of the Aguhlas Plain, in the Cape Florisitc Region of South Africa. This study leveraged satellite-derived datasets (Sentinel-1, Sentinel-2, SRTM, GEDI-L2A, and Global Canopy Height) and machine learning to develop a regional-scale model for estimating invasive alien tree biomass at a 25m resolution. Performance of the models were assessed using the coeffiecent of determination (R-squared), Spearman correlation coeffiecent (rs), PBias, and RMSE. Predictor variable importance were also tested for. Once the models were developed, they were validated with an independant alien infested ground truth site. Additionally, the most effective model was applied to ecologically distinct catchments to test model transferability and to demonstrate how the model could be used in a practical management scenario.



Note: 'Invasive alien trees' refer to taxa such as Pinus, Eucalyptus, Neltuma, and Acacia spp that are non-native to South Africa that can displace native vegetation and cause environmental and economic harm.


Repository ComponentsThe components of this repository include four primary phases each including a set of method workflow notes and code scriptsThe four phases include the following:

(1) Model Development- Collate a target variable dataset (representing invasive alien tree biomass)- Collate a predictor variable dataset (representing satellite-derived features)- Develop an invasive alien tree biomass model with machine learning

(2) Model Validation- Assess model performance with various metrics

(3) Ground-truthing- Compare model estimates to harvested biomass from an independant ground-truthing site
DOI: 10.15468/dl.evvt6a
title: Occurrence Download

description: A dataset containing 65 species occurrences available in GBIF matching the query:
{
 "and" : [
 "AcceptedTaxonKey is Chaerophyllum taiwanianum",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 65 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041141-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.