cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.15172302
title: HeLa cell images and tree crown images for Voronoi segmentation tutorial

description: Input dataset for the GTN tutorial titled 'Voronoi segmentation'. The dataset contains HeLa cells as an example of bioimaging data, and satellite images of trees as an example of earth observation data. 

Bioimaging data: There are two images of HeLa cells: A cell image and an image with seeds for Voronoi segmentation. These images are processed versions of original images published under licence CC BY 4.0 by Manuel Gunkel. The images have been processed respectively by normalization (for the image) and normalization and thresholding (for the seeds). 

Earth observation data: The earth observation image comes from the NeonTreeEvaluation Benchmark published under license CC BY 4.0 by Weinstein et. al. The seeds have been generated using the centre of the tree segmentation metadata provided with the image. 

References to original work: 



Gunkel, M. (2019). Microscope Image Analysis Course Sept 2109 -- Images siRNA Screen [Data set]. Zenodo. https://doi.org/10.5281/zenodo.3362976

Weinstein, B., Marconi, S., & White, E. (2022, January). Data for the NeonTreeEvaluation Benchmark (Version 0.2.2) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.5914554
DOI: 10.5281/zenodo.15172303
title: HeLa cell image and seeds for Voronoi segmentation tutorial

description: Input dataset for the GTN tutorial titled 'Voronoi segmentation', containing two images of HeLa cells (image and seeds for Voronoi segmentation) that have been processed respectively by normalization (for the image) and normalization and thresholding (for the seeds). The original images were published under licence CC BY 4.0 by Manuel Gunkel. 

Reference to original work: Gunkel, M. (2019). Microscope Image Analysis Course Sept 2109 -- Images siRNA Screen [Data set]. Zenodo. https://doi.org/10.5281/zenodo.3362976
DOI: 10.5281/zenodo.15181061
title: HeLa cell images and tree crown images for Voronoi segmentation tutorial

description: Input dataset for the GTN tutorial titled 'Voronoi segmentation'. The dataset contains HeLa cells as an example of bioimaging data, and satellite images of trees as an example of earth observation data. 

Bioimaging data: There are two images of HeLa cells: A cell image and an image with seeds for Voronoi segmentation. These images are processed versions of original images published under licence CC BY 4.0 by Manuel Gunkel. The images have been processed respectively by normalization (for the image) and normalization and thresholding (for the seeds). 

Earth observation data: The earth observation image comes from the NeonTreeEvaluation Benchmark published under license CC BY 4.0 by Weinstein et. al. The seeds have been generated using the centre of the tree segmentation metadata provided with the image. 

References to original work: 



Gunkel, M. (2019). Microscope Image Analysis Course Sept 2109 -- Images siRNA Screen [Data set]. Zenodo. https://doi.org/10.5281/zenodo.3362976

Weinstein, B., Marconi, S., & White, E. (2022, January). Data for the NeonTreeEvaluation Benchmark (Version 0.2.2) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.5914554
DOI: 10.5281/zenodo.15189354
title: HeLa cell images and tree crown images for Voronoi segmentation tutorial

description: Input dataset for the GTN tutorial titled 'Voronoi segmentation'. The dataset contains HeLa cells as an example of bioimaging data, and satellite images of trees as an example of earth observation data. 

Bioimaging data: There are two images of HeLa cells: A cell image and an image with seeds for Voronoi segmentation. These images are processed versions of original images published under licence CC BY 4.0 by Manuel Gunkel. The images have been processed respectively by normalization (for the image) and normalization and thresholding (for the seeds). 

Earth observation data: The earth observation image comes from the NeonTreeEvaluation Benchmark published under license CC BY 4.0 by Weinstein et. al. The seeds have been generated using the centre of the tree segmentation metadata provided with the image. 

References to original work: 



Gunkel, M. (2019). Microscope Image Analysis Course Sept 2109 -- Images siRNA Screen [Data set]. Zenodo. https://doi.org/10.5281/zenodo.3362976

Weinstein, B., Marconi, S., & White, E. (2022, January). Data for the NeonTreeEvaluation Benchmark (Version 0.2.2) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.5914554
DOI: 10.5281/zenodo.15195377
title: HeLa cell images and tree crown images for Voronoi segmentation tutorial

description: Input dataset for the GTN tutorial titled 'Voronoi segmentation'. The dataset contains HeLa cells as an example of bioimaging data, and satellite images of trees as an example of earth observation data. 

Bioimaging data: There are two images of HeLa cells: A cell image and an image with seeds for Voronoi segmentation. These images are processed versions of original images published under licence CC BY 4.0 by Manuel Gunkel. The images have been processed respectively by normalization (for the image) and normalization and thresholding (for the seeds). 

Earth observation data: The earth observation image comes from the NeonTreeEvaluation Benchmark published under license CC BY 4.0 by Weinstein et. al. The seeds have been generated using the centre of the tree segmentation metadata provided with the image. 

References to original work: 



Gunkel, M. (2019). Microscope Image Analysis Course Sept 2109 -- Images siRNA Screen [Data set]. Zenodo. https://doi.org/10.5281/zenodo.3362976

Weinstein, B., Marconi, S., & White, E. (2022, January). Data for the NeonTreeEvaluation Benchmark (Version 0.2.2) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.5914554
DOI: 10.5281/zenodo.15281843
title: HeLa cell images and tree crown images for Voronoi segmentation tutorial

description: Input dataset for the GTN tutorial titled 'Voronoi segmentation'. The dataset contains HeLa cells as an example of bioimaging data, and satellite images of trees as an example of earth observation data. 

Bioimaging data: There are two images of HeLa cells: A cell image and an image with seeds for Voronoi segmentation. These images are processed versions of original images published under licence CC BY 4.0 by Manuel Gunkel. The images have been processed respectively by normalization (for the image) and normalization and thresholding (for the seeds). 

Earth observation data: The earth observation image comes from the NeonTreeEvaluation Benchmark published under license CC BY 4.0 by Weinstein et. al. The seeds have been generated using the centre of the tree segmentation metadata provided with the image. 

References to original work: 



Gunkel, M. (2019). Microscope Image Analysis Course Sept 2109 -- Images siRNA Screen [Data set]. Zenodo. https://doi.org/10.5281/zenodo.3362976

Weinstein, B., Marconi, S., & White, E. (2022, January). Data for the NeonTreeEvaluation Benchmark (Version 0.2.2) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.5914554
DOI: 10.15468/dl.26p3ux
title: Occurrence Download

description: A dataset containing 74 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Coccocarpia adnata Arv."
 ]
}

 The dataset includes 74 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001483-250424135625364/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ft4g27
title: Occurrence Download

description: A dataset containing 168 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Phocoena spinipinnis Burmeister, 1865"
 ]
}

 The dataset includes 168 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001484-250424135625364/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kbp5nh
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lathyrus sativus",
 "Country is Angola",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024709-250811113504898/datasets/export for details.
DOI: 10.15468/dl.u6dd3e
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lathyrus sativus",
 "Country is Bosnia and Herzegovina",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024710-250811113504898/datasets/export for details.
DOI: 10.15468/dl.4nuwnr
title: Occurrence Download

description: A dataset containing 83 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lathyrus sativus",
 "Country is Greece",
 "HasCoordinate is true"
 ]
}

 The dataset includes 83 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024711-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e3kvt5
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bathytroctes microlepis Günther, 1878",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((36.2225 24.1647,35.9648 24.4806,35.9648 19.8496,37.7519 19.8496,37.7005 20.2556,37.7935 21.209,37.3891 21.7756,37.3588 22.2459,36.8499 22.7968,36.6611 23.2461,36.1736 23.4033,36.31 23.7463,36.2225 24.1647))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010662-250525065834625/datasets/export for details.
DOI: 10.25549/inscriptifact-ouc110581120
title: Persepolis Fortification Aramaic Text 034, PFAT 034

description: [Text Description:] Administrative text with seals PFS 0142; PFATS 0014. ❧ [Text or Publication Number Note:] PFAT 034, Bowman 34 ❧ [Excavation Description:] Found during Oriental Institute's excavations in Spring, 1933, near the northeastern corner of the stone platform of Persepolis, in two small rooms of a bastion in the fortification wall ❧ [Medium:] Clay ❧ [Script Note:] Aramaic ❧ [Physical Object Description:] Clay tablet with ink and incised inscription. Seal impressions PFS 0142 on reverse; PFATS 0014 on flat edge.
DOI: 10.25549/inscriptifact-ouc110581117
title: Persepolis Fortification Aramaic Text 034, PFAT 034

description: [Text Description:] Administrative text with seals PFS 0142; PFATS 0014. ❧ [Text or Publication Number Note:] PFAT 034, Bowman 34 ❧ [Excavation Description:] Found during Oriental Institute's excavations in Spring, 1933, near the northeastern corner of the stone platform of Persepolis, in two small rooms of a bastion in the fortification wall ❧ [Medium:] Clay ❧ [Script Note:] Aramaic ❧ [Physical Object Description:] Clay tablet with ink and incised inscription. Seal impressions PFS 0142 on reverse; PFATS 0014 on flat edge.
DOI: 10.25549/inscriptifact-ouc110581101
title: Persepolis Fortification Aramaic Text 034, PFAT 034

description: [Text Description:] Administrative text with seals PFS 0142; PFATS 0014. ❧ [Text or Publication Number Note:] PFAT 034, Bowman 34 ❧ [Excavation Description:] Found during Oriental Institute's excavations in Spring, 1933, near the northeastern corner of the stone platform of Persepolis, in two small rooms of a bastion in the fortification wall ❧ [Medium:] Clay ❧ [Script Note:] Aramaic ❧ [Physical Object Description:] Clay tablet with ink and incised inscription. Seal impressions PFS 0142 on reverse; PFATS 0014 on flat edge.
DOI: 10.25549/inscriptifact-ouc110581092
title: Persepolis Fortification Aramaic Text 034, PFAT 034

description: [Text Description:] Administrative text with seals PFS 0142; PFATS 0014. ❧ [Text or Publication Number Note:] PFAT 034, Bowman 34 ❧ [Excavation Description:] Found during Oriental Institute's excavations in Spring, 1933, near the northeastern corner of the stone platform of Persepolis, in two small rooms of a bastion in the fortification wall ❧ [Medium:] Clay ❧ [Script Note:] Aramaic ❧ [Physical Object Description:] Clay tablet with ink and incised inscription. Seal impressions PFS 0142 on reverse; PFATS 0014 on flat edge.
DOI: 10.3886/e240249
title: Climate Change Maps

description: These maps indicate the magnitude of 
multivariate climate change using the standardized Euclidean distance 
(SED). This metric allows the magnitude of climate change to be analyzed
 with respect to historical interannual variability for each climate 
variable. Standardizing climate change in this way allows multiple 
climate variables with different units to be combined into a single 
index, but more importantly, it places the magnitude of projected change
 in the perspective of what species have had to tolerate over recent 
history. These maps are based on multiple climate models ( CanESM2, 
MIROC5, MIROC_ESM_CHEM, and MRI_CGCM3 climate models ) for the periods 
2035-2064 and 2070-2099 and are based on bioclimatic variables and 
seasonal climate variables..<br>
description: Smallest Geographic Unit: Oregon, Washington
DOI: 10.3886/e240249v1
title: Climate Change Maps

description: These maps indicate the magnitude of 
multivariate climate change using the standardized Euclidean distance 
(SED). This metric allows the magnitude of climate change to be analyzed
 with respect to historical interannual variability for each climate 
variable. Standardizing climate change in this way allows multiple 
climate variables with different units to be combined into a single 
index, but more importantly, it places the magnitude of projected change
 in the perspective of what species have had to tolerate over recent 
history. These maps are based on multiple climate models ( CanESM2, 
MIROC5, MIROC_ESM_CHEM, and MRI_CGCM3 climate models ) for the periods 
2035-2064 and 2070-2099 and are based on bioclimatic variables and 
seasonal climate variables..<br>
description: Smallest Geographic Unit: Oregon, Washington
DOI: 10.15468/dl.8db3h3
title: Occurrence Download

description: A dataset containing 138 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "Geometry POLYGON((-126.18024 21.8986,-107.68948 21.8986,-107.68948 35.12254,-126.18024 35.12254,-126.18024 21.8986))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Physeteridae",
 "Year 2000-2025"
 ]
}

 The dataset includes 138 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031551-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d936eg
title: Occurrence Download

description: A dataset containing 799 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Mexico",
 "OccurrenceStatus is Present",
 "TaxonKey is Pecari tajacu",
 "Year 1970-2018"
 ]
}

 The dataset includes 799 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031550-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5066/p9spnykj
title: Computed and estimated streamflow in Bronson and Fanno Creeks, OR, 2016-2017

description: The USGS computed streamflow during 2016 and 2017 at two sites – one on Bronson Creek (USGS station 453250122494501) and one on Fanno Creek (USGS station 452738122474100), which are tributaries to the Tualatin River in northwestern Oregon. The computed streamflows from the two aforementioned sites were then used to estimate the corresponding streamflow at two other sites- USGS station 453320122483701 (located upstream of the computed streamflow on Bronson Creek); and USGS station 452718122474700 (located downstream of the computed streamflow on Fanno Creek) The estimated streamflow was calculated by applying a scaling factor to the computed streamflow that reflected the difference in drainage areas between the sites in each stream.
DOI: 10.26008/1912/bco-dmo.965557.1
title: Results of incurrent/excurrent water samples taken from three sponge species from the Florida Keys (USA) over two or three days using a modified version of the vacuSIP in January 2022

description: Sponges are sessile filter-feeders that can process vast amounts of water and are known to influence the chemistry of the surrounding seawater. There has been limited work in understanding how sponges alter dissolved and particulate nutrients on coral reefs, but work is even further limited in understanding if and how sponges vary in how they process nutrients. Sponges may occasionally arrest pumping or there may be changes in which nutrients are removed or added as the water is processed by the sponge and its microbial symbiotic community. This work provides an initial examination of three common sponges in Caribbean reefs and how they alter their processing of dissolved and particulate nutrients over multiple days. 

Incurrent and excurrent seawater samples were collected for each of the three sponge species and processed for: inorganic nutrients, total organic carbon and total nitrogen, targeted metabolomics, and particulate matter by flow cytometry. Sponges were sampled from Looe Key reef in the southern Florida Keys. We found that two species, both of which are high microbial abundance sponges, Verongula rigida and the barrel sponge, Xestospongia muta, were fairly consistent in dissolved nutrient fluxes across individual sponges and across days. In contrast, the low microbial abundance sponge, Niphates digitalis, was highly variable across individuals and days. These results provide additional support for the large impact that sponges have in the dissolved nutrient profile on coral reefs and provide support for a species-specific impact. These results have implications for better understanding the influence of the sponge community on coral reef nutrient dynamics.
DOI: 10.5066/p13fzkvg
title: Elevation data to support estimations of stored sediment depths and volume in a beaver pond along Fanno Creek, western Oregon, 2016

description: Elevation-at-refusal (EAR) data were collected in May and September 2016 in conjunction with a comprehensive bed-elevation survey (White, 2025; methods described in White and others, 2025) to estimate the depth and total volume of sediment stored in a beaver pond along Fanno Creek, western Oregon. The EAR.csv file consists of points with xy coordinate and z elevation data. A stadia rod with a pointed foot was pushed into the unconsolidated sediment until the resistance changed noticeably, indicating that the rod had contacted the underlying and relatively more consolidated floodplain material, using methods from other beaver-related sediment studies (Butler and Malanson, 1995; Puttock and others, 2018). RTN-GPS survey equipment was used to record the coordinates and elevation of each EAR point. See Doyle and others (2025) for documentation of how these data were used to estimate the depth and volume of sediment stored in a beaver pond.

References:
James S. White, Krista L. Jones, Stewart A. Rounds, 2025, Beavers (Castor canadensis) in the Tualatin River Basin, Northwestern Oregon—Hydrologic and Hydraulic Responses of Beaver Dams to Storm Flows in Urban Streams, 2016-17, U.S. Geological Survey.

Micelis C. Doyle, Cassandra D. Smith, Krista L. Jones, Alexandria E. Costello, 2025, Beavers in the Tualatin River Basin, Oregon: 3. Effects on Sediment Transport and Deposition in Urban Streams, U.S. Geological Survey.

Butler, D.R., Malanson, G.P., 1995, Sedimentation rates and patterns in beaver ponds in a mountain environment, Geomorphology, v.13, page 255-269.

Puttock, A., Graham, H.A., Carless, D., Brazier, R.E., 2018, Sediment and nutrient storage in a beaver engineered wetland, Earth Surface Processes and Landforms, v.43, no.11, page 2358-2370.

James S. White, 2025, Hydraulic models of two beaver affected reaches in the Tualatin Basin, Oregon, U.S. Geological Survey data release.
DOI: 10.15468/dl.495xtd
title: Occurrence Download

description: A dataset containing 131 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "Geometry POLYGON((-126.18024 21.8986,-107.68948 21.8986,-107.68948 35.12254,-126.18024 35.12254,-126.18024 21.8986))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Phocoenidae",
 "Year 2000-2025"
 ]
}

 The dataset includes 131 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031552-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kxut72
title: Occurrence Download

description: A dataset containing 61 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "Geometry POLYGON((-126.18024 21.8986,-107.68948 21.8986,-107.68948 35.12254,-126.18024 35.12254,-126.18024 21.8986))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Hyperoodontidae",
 "Year 2000-2025"
 ]
}

 The dataset includes 61 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031554-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pvq9dh
title: Occurrence Download

description: A dataset containing 75 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bursera stenophylla",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 75 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031555-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bgasnw
title: Occurrence Download

description: A dataset containing 2595 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cynomys mexicanus"
 ]
}

 The dataset includes 2595 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031553-251025141854904/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.30611657
title: <b>Code: </b><b>Overview of the SARS-CoV-2 epidemic in Peru between March 2020 and February 2024 (Figure 1)</b>

description: This repository provides the scripts and supporting data used to generate Figure 1 in the article <i>Genomic Epidemiology of SARS-CoV-2 in Peru, 2020–2024</i>. It includes all necessary steps for data processing and visualisation.Github repository available at: https://github.com/healthinnovation/covid19trends<br>
DOI: 10.6084/m9.figshare.30611657.v1
title: <b>Code: </b><b>Overview of the SARS-CoV-2 epidemic in Peru between March 2020 and February 2024 (Figure 1)</b>

description: This repository provides the scripts and supporting data used to generate Figure 1 in the article <i>Genomic Epidemiology of SARS-CoV-2 in Peru, 2020–2024</i>. It includes all necessary steps for data processing and visualisation.Github repository available at: https://github.com/healthinnovation/covid19trends<br>