cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.mqmzp4
title: Occurrence Download

description: A dataset containing 7280 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is one of (Brazil, Argentina, Paraguay)",
 "TaxonKey is Cyanerpes cyaneus (Linnaeus, 1766)"
 ]
}

 The dataset includes 7280 records from 55 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000703-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7rsep5
title: Occurrence Download

description: A dataset containing 139 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Periophthalmus novemradiatus (Hamilton, 1822)"
 ]
}

 The dataset includes 139 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000707-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a2qe7h
title: Occurrence Download

description: A dataset containing 8536 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Occurrence evidence)",
 "TaxonKey is Ophryotrocha Claparède & Mecznikow, 1869"
 ]
}

 The dataset includes 8536 records from 53 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000706-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hpuejc
title: Occurrence Download

description: A dataset containing 5738 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-103.57411 20.37774,-103.31488 20.37774,-103.31488 20.54401,-103.57411 20.54401,-103.57411 20.37774))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Chordata"
 ]
}

 The dataset includes 5738 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000709-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25345/c5xp6vg34
title: MassIVE MSV000097445 - GNPS - P. fluorescens in CAA (Normal v Low Fe)
title: Pseudomonas fluorescens was cultured in casamino acids media with either normal or depleted iron via Chelex-treatment and analyzed for metabolites with DDA.
DOI: 10.15468/dl.2ztnv7
title: Occurrence Download

description: A dataset containing 37790 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is MEX.7.4_2",
 "TaxonKey is Animalia"
 ]
}

 The dataset includes 37790 records from 143 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000710-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.efsqzm
title: Occurrence Download

description: A dataset containing 1471 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dacnis nigripes Pelzeln, 1856"
 ]
}

 The dataset includes 1471 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000711-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4f2xp6
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "TaxonKey is Phymorhynchus Dall, 1908"
 ]
}

 The dataset includes 8 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000712-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15084865
title: LABPLAS Plastic Debris Classified Satellite Images for German Bight (2016-2024)

description: Here you find the satellite-derived maps (PNGs) of predicted locations of floating macroplastic aggregations between 2016 and 2024, for three areas of interest (AOI) in the German Bight, developed under the H2020 LABPLAS project. The maps are classified using the POS2IDON tool and two specific machine learning models (the UNET and XGBOOST models) and the true-color (RGB) images. The predicted locations of floating macroplastic aggregations are marked with large red dots in the classified maps.

The classification maps were created with POS2IDON pipeline, a tool to detect suspected locations of floating marine debris in Sentinel- 2 satellite imagery using machine learning. POS2IDON includes modules for data acquisition, pre-processing, and pixel-based classification using different machine learning models (e.g. Random Forest, XGBoost, Unet). The outputs of POS2IDON include classification maps for all the available Sentinel-2 imagery of a given region of interest and temporal period, specified by the user.

Using POS2IDON we performed a long-term analysis in three AOIs in the German Bight (North Sea), which is part of the LabPlas Case Study 1 area. To cope with potential false positives and retain the more relevant spatial and temporal patterns, POS2IDON was applied in the entire Sentinel-2 archive resulting in a massive processing of nearly 9 years of data (2016-2024). After running POS2IDON, classification images (for UNET and XGBOOST models) were obtained in the three AOIs. Subsequently, to decrease the number of potential false positives, automated post-processing procedures were applied, including the buffering of the clouds (from cloud mask and cloud class) and the removal of isolated MD pixels. Furthermore, images contaminated by clouds were automatically excluded using cloud cover percentage thresholds, and through visual analysis several images affected by sunglint and whitecaps were manually excluded. This resulted in a total of 95, 97 and 92 images for AO1, AO2 and AO3, respectively, that were used for long-term analysis and provided in this dataset.
DOI: 10.5281/zenodo.15084866
title: LABPLAS Plastic Debris Classified Satellite Images for German Bight (2016-2024)

description: Here you find the satellite-derived maps (PNGs) of predicted locations of floating macroplastic aggregations between 2016 and 2024, for three areas of interest (AOI) in the German Bight, developed under the H2020 LABPLAS project. The maps are classified using the POS2IDON tool and two specific machine learning models (the UNET and XGBOOST models) and the true-color (RGB) images. The predicted locations of floating macroplastic aggregations are marked with large red dots in the classified maps.

The classification maps were created with POS2IDON pipeline, a tool to detect suspected locations of floating marine debris in Sentinel- 2 satellite imagery using machine learning. POS2IDON includes modules for data acquisition, pre-processing, and pixel-based classification using different machine learning models (e.g. Random Forest, XGBoost, Unet). The outputs of POS2IDON include classification maps for all the available Sentinel-2 imagery of a given region of interest and temporal period, specified by the user.

Using POS2IDON we performed a long-term analysis in three AOIs in the German Bight (North Sea), which is part of the LabPlas Case Study 1 area. To cope with potential false positives and retain the more relevant spatial and temporal patterns, POS2IDON was applied in the entire Sentinel-2 archive resulting in a massive processing of nearly 9 years of data (2016-2024). After running POS2IDON, classification images (for UNET and XGBOOST models) were obtained in the three AOIs. Subsequently, to decrease the number of potential false positives, automated post-processing procedures were applied, including the buffering of the clouds (from cloud mask and cloud class) and the removal of isolated MD pixels. Furthermore, images contaminated by clouds were automatically excluded using cloud cover percentage thresholds, and through visual analysis several images affected by sunglint and whitecaps were manually excluded. This resulted in a total of 95, 97 and 92 images for AO1, AO2 and AO3, respectively, that were used for long-term analysis and provided in this dataset.
DOI: 10.15468/dl.dnq3kh
title: Occurrence Download

description: A dataset containing 270 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tiaris fuliginosa (Wied-Neuwied, 1830)"
 ]
}

 The dataset includes 270 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000715-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15082988
title: Trajectories for Phosphorylation of disordered proteins tunes local and global intramolecular interactions (Usher et al. 2024)

description: About

Desposited 2025-03-25

This directory contains all simulation trajectories reported by Usher et al.

For code associated with analysis and figure generation, please see our supporting data repository here.

References

Usher, E. T., Fossat, M. J. & Holehouse, A. S. Phosphorylation of disordered proteins tunes local and global intramolecular interactions. Biophys. J. 123, 4082–4096 (2024).
DOI: 10.5281/zenodo.15082989
title: Trajectories for Phosphorylation of disordered proteins tunes local and global intramolecular interactions (Usher et al. 2024)

description: About

Desposited 2025-03-25

This directory contains all simulation trajectories reported by Usher et al.

For code associated with analysis and figure generation, please see our supporting data repository here.

References

Usher, E. T., Fossat, M. J. & Holehouse, A. S. Phosphorylation of disordered proteins tunes local and global intramolecular interactions. Biophys. J. 123, 4082–4096 (2024).
DOI: 10.57967/hf/4944
title: Syi
DOI: 10.15468/dl.z2mde8
title: Occurrence Download

description: A dataset containing 101 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Occurrence evidence)",
 "TaxonKey is Xylophaga W.Turton, 1822"
 ]
}

 The dataset includes 101 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000716-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.71682/10549312
title: Using a Video-based Product Ranking Tool (VPRT) as a basis for maize market segmentation in Kenya and Uganda in 2022

description: The maize data was collected in 2022 from small-scale farmers in the districts of Mubende and Mityana in Uganda, and the counties of Kakamega and Bungoma in Kenya. The sample size consists of 2,422 small-scale farmers. Farmer profiling questions cover various topics, including:&lt;br&gt;

&lt;br&gt;
Socio-demographic Information: Variables such as gender, age, family size, and education.&lt;br&gt;
Farm Information: Details about farm size, crops grown, animals kept, input usage, and key income sources.&lt;br&gt;
Maize Farming Variables: Aspects such as seed purchase, cropping system, seed volume, plot size, harvest volume, and usage.&lt;br&gt;

&lt;br&gt;
The data also includes the process of identifying and selecting preferred maize seed varieties, presented in video format. For the video data collection, product descriptions were developed into videos featuring presentations by both a male and a female seed multiplicator. Each farmer was randomly shown three of the eight videos available, utilizing an incomplete block design. In total, 7,266 video presentations were made to the 2,422 farmers.
DOI: 10.71682/10549312/1
title: Concept Testing Data-Maize-Uganda Kenya-V3.xls
DOI: 10.15468/dl.sprdgc
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Periophthalmus spilotus Murdy & Takita, 1999"
 ]
}

 The dataset includes 15 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000718-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a8mbdv
title: Occurrence Download

description: A dataset containing 43358 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Antarctica",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Echinodermata"
 ]
}

 The dataset includes 43358 records from 63 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000719-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.28662296
title: S2 Text. Mental Health Literacy Questionnaire..csv

description: Mental health literacy is crucial for nursing students to deliver effective patient care; however, its development throughout their academic journey remains underexplored. This study aimed to assess mental health literacy among nursing students and examine factors influencing their literacy levels.<b> </b>A quantitative cross-sectional study was conducted from February 2024 to August 2024 using convenience sampling. A total of 295 undergraduate nursing students participated in the study. Data were collected using the Mental Health Literacy Questionnaire (MHLq) and analyzed using SPSS software.
DOI: 10.5281/zenodo.15084923
title: LABPLAS Plastic Debris Classified Satellite Images for Honduras (2019-2024)

description: Here you find the satellite-derived maps (PNGs) of predicted locations of floating macroplastic aggregations between 2019 and 2024, in the coastal region of the Motagua River plume (Honduras), developed under the H2020 LABPLAS project. The maps are classified using the POS2IDON tool and two specific machine learning models (the UNET and XGBOOST models) and the true-color (RGB) images. The predicted locations of floating macroplastic aggregations are marked with large red dots in the classified maps. 

The classification maps were created with POS2IDON pipeline, a tool to detect suspected locations of floating marine debris in Sentinel- 2 satellite imagery using machine learning. POS2IDON includes modules for data acquisition, pre-processing, and pixel-based classification using different machine learning models (e.g. Random Forest, XGBoost, Unet). The outputs of POS2IDON include classification maps for all the available Sentinel-2 imagery of a given region of interest and temporal period, specified by the user.

Using POS2IDON we performed a long-term analysis in the region of the Motagua River plume (Honduras), which is infamous for its plastic pollution, largely due to substantial riverine inputs of plastic from Motagua river. This river is known for its "trash tsunamis" and the OceanCleanUp has installed the “Interceptor Barricade” in an upstream location. Long-term synoptic assessments of plastic pollution are the primary goal, and the Honduras Gulf represents an outstanding example of a region to test methods. Confidence in results can be taken especially in the Honduras Gulf region since it is known for recurrent and large aggregations of floating plastics in the coastal ocean, and where the models are trained. 

POS2IDON was applied in the Sentinel-2 archive between 2019 and 2024. After running POS2IDON, classification images (for UNET and XGBOOST models) were obtained. Subsequently, to decrease the number of potential false positives, automated post-processing procedures were applied, including the buffering of the clouds (from cloud mask and cloud class) and the removal of isolated MD pixels. This resulted in a total of 438 classified & post-processed images (i.e. 1 image every ~5 days), which were then used for long-term analysis, and provided in this dataset.
DOI: 10.5281/zenodo.15084924
title: LABPLAS Plastic Debris Classified Satellite Images for Honduras (2019-2024)

description: Here you find the satellite-derived maps (PNGs) of predicted locations of floating macroplastic aggregations between 2019 and 2024, in the coastal region of the Motagua River plume (Honduras), developed under the H2020 LABPLAS project. The maps are classified using the POS2IDON tool and two specific machine learning models (the UNET and XGBOOST models) and the true-color (RGB) images. The predicted locations of floating macroplastic aggregations are marked with large red dots in the classified maps. 

The classification maps were created with POS2IDON pipeline, a tool to detect suspected locations of floating marine debris in Sentinel- 2 satellite imagery using machine learning. POS2IDON includes modules for data acquisition, pre-processing, and pixel-based classification using different machine learning models (e.g. Random Forest, XGBoost, Unet). The outputs of POS2IDON include classification maps for all the available Sentinel-2 imagery of a given region of interest and temporal period, specified by the user.

Using POS2IDON we performed a long-term analysis in the region of the Motagua River plume (Honduras), which is infamous for its plastic pollution, largely due to substantial riverine inputs of plastic from Motagua river. This river is known for its "trash tsunamis" and the OceanCleanUp has installed the “Interceptor Barricade” in an upstream location. Long-term synoptic assessments of plastic pollution are the primary goal, and the Honduras Gulf represents an outstanding example of a region to test methods. Confidence in results can be taken especially in the Honduras Gulf region since it is known for recurrent and large aggregations of floating plastics in the coastal ocean, and where the models are trained. 

POS2IDON was applied in the Sentinel-2 archive between 2019 and 2024. After running POS2IDON, classification images (for UNET and XGBOOST models) were obtained. Subsequently, to decrease the number of potential false positives, automated post-processing procedures were applied, including the buffering of the clouds (from cloud mask and cloud class) and the removal of isolated MD pixels. This resulted in a total of 438 classified & post-processed images (i.e. 1 image every ~5 days), which were then used for long-term analysis, and provided in this dataset.
DOI: 10.15468/dl.azr548
title: Occurrence Download

description: A dataset containing 1352 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Osmia uncinata Gerstäcker, 1869"
 ]
}

 The dataset includes 1352 records from 54 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000722-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5q9t82
title: Occurrence Download

description: A dataset containing 24116 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is one of (Brazil, Argentina, Paraguay)",
 "TaxonKey is Sporophila lineola (Linnaeus, 1758)"
 ]
}

 The dataset includes 24116 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000723-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qatmzj
title: Occurrence Download

description: A dataset containing 168 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Material sample, Specimen, Occurrence evidence)",
 "Continent is one of (Antarctica, Europe, North America, South America)",
 "Country is Brazil",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Coccomyxa Schmidle, 1901"
 ]
}

 The dataset includes 168 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000724-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k64gzk
title: Occurrence Download

description: A dataset containing 38 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Periophthalmus takita Jaafar & Larson, 2008"
 ]
}

 The dataset includes 38 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000725-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x6d5vv
title: Occurrence Download

description: A dataset listing the 1731 species recorded in GBIF matching the query:
{
 "and" : [
 "DatasetKey is one of (Butterflies (Lepidoptera: Lycaenidae) Occurrence Data in Sub-Saharan Africa, Invertebrates of the river Tana Basin in Kenya available at the National Museums of Kenya's Natural History Collections, Invertebrates Zoology Section, Butterfly Survey at A Rocha Kenya Conservation Centre)",
 "IucnRedListCategory is one of (CR, EN, VU, NT, LC, DD, NE)",
 "PublishingCountry is Kenya",
 "TaxonKey is Animalia"
 ]
}

 The dataset's 1731 records were derived from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000721-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cybsb7
title: Occurrence Download

description: A dataset listing the 2 species recorded in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Incilius cristatus (Wiegmann, 1833)",
 "Year 1950-2020"
 ]
}

 The dataset's 2 records were derived from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000720-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.24381/04a0b097
title: CAMS global atmospheric composition forecasts
DOI: 10.15468/dl.76suyz
title: Occurrence Download

description: A dataset containing 84 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "GadmGid is USA.14_1",
 "TaxonKey is Udeopsylla robusta (Haldeman, 1850)"
 ]
}

 The dataset includes 84 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000727-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.24381/1d158bec
title: CAMS global emission inventories
DOI: 10.15468/dl.ntaj8n
title: Occurrence Download

description: A dataset containing 95526 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is one of (Brazil, Argentina, Paraguay)",
 "TaxonKey is Dacnis cayana (Linnaeus, 1766)"
 ]
}

 The dataset includes 95526 records from 88 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000713-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ftgwvn
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Octarrhena gracilis (L.O.Williams) Schuit."
 ]
}

 The dataset includes 4 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050075-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.