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

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((21.60399 -10.67257, 21.66756 -10.67257, 21.66756 -10.1474, 21.60399 -10.1474, 21.60399 -10.67257))"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011299-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tbwkwg
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "PublishingOrg is 3059a14b-7b43-41ce-beef-873999911dfe",
 "TaxonKey is Gymnura altavela (Linnaeus, 1758)"
 ]
}

 The dataset includes 7 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011262-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13127/md/im-geostar-2007-turb
title: Turbidity meter dataset (ECO-BB(RT)D 6000m @ 1 sample / hour) from INGV/GEOSTAR seafloor platform during NEAREST project in Iberian Margin site (Gulf of Cadiz), part of EMSO network

description: Turbidity measurements were provided by means of an auxiliary turbidity meter sensor (made by WetLabs manufacturer) connected to the CTD probe. The collection period ranges from August 2007 through July 2008.
description: CTD and turbidity meter have been used in order to monitoring possible variations of bottom sea water masses in an area strongly interested by the mixing of different water masses (Mediterranean and Atlantic waters). Turbidity measurement also provides information about possible resuspension of particle matter due to bottom currents.
The series is complete and continue through all period of measurement, without gap of data or relevant sensor problem.
DOI: 10.13127/md/im-geostar-2007-turb-qc
title: Turbidity meter dataset with Quality Control (ECO-BB(RT)D 6000m @ 1 sample / hour) from INGV/GEOSTAR seafloor platform during NEAREST project in Iberian Margin site (Gulf of Cadiz), part of EMSO network

description: Turbidity measurements were provided by means of an auxiliary turbidity meter sensor (made by WetLabs manufacturer) connected to the CTD probe. The collection period ranges from August 2007 through July 2008.
This Quality Controlled (QC) version of the datasets has been elaborated verifying sensor efficiency through post-calibration and standardized validation procedures. More information about QC procedures is contained in the download file.
DOI: 10.13127/md/im-geostar-2007-curr
title: Current meter dataset (Nobska MAVS-3 @ 5 Hz) from INGV/GEOSTAR seafloor platform during NEAREST project in Iberian Margin site (Gulf of Cadiz), part of EMSO network

description: High-frequency current meter (MAVS3 made by NOBSKA manufacturer) was mounted on GEOSTAR to collect data with high sampling rate. It provided punctual current measurements to monitoring the hydrodynamic condition inside the station.
description: The high sampling rate (5Hz) was used in order to better observe possible influences of seawater currents on seismological data.
description: More than 10GB of data were collected during one year of measurements. The record is periodically affected by the lack of few seconds of data. On the whole, about the 95% of data were well recorded.
DOI: 10.13127/md/im-geostar-2007-curr-qc
title: Current meter dataset with Quality Control (Nobska MAVS-3 @ 5 Hz) from INGV/GEOSTAR seafloor platform during NEAREST project in Iberian Margin site (Gulf of Cadiz), part of EMSO network

description: High-frequency current meter (MAVS3 made by NOBSKA manufacturer) was mounted on GEOSTAR to collect data with high sampling rate. It provided punctual current measurements to monitoring the hydrodynamic condition inside the station.
This Quality Controlled (QC) version of the datasets has been elaborated verifying sensor efficiency through post-calibration and standardized validation procedures. More information about QC procedures is contained in the download file.
DOI: 10.15468/dl.s7yqja
title: Occurrence Download

description: A dataset containing 8816519 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Canada",
 "DatasetKey is iNaturalist Research-grade Observations"
 ]
}

 The dataset includes 8816519 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002887-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ujtrtf
title: Occurrence Download

description: A dataset containing 29530 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cyanocorax yncas (Boddaert, 1783)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "DatasetKey is EOD – eBird Observation Dataset",
 "Year is greater than or equal to 1810",
 "Year is less than or equal to 2019",
 "Month is greater than or equal to April",
 "Month is less than or equal to September",
 "EventDate is not null",
 "Country is United States of America",
 "Geometry POLYGON((-63 22, -63 51, -126 51, -126 22, -63 22))"
 ]
}

 The dataset includes 29530 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013177-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc110827265
title: Persepolis Fortification Elamite Tablet 2295.101, Fort 2295.101

description: [Text Description:] Administrative text with seals ❧ [Text or Publication Number Note:] Fort 2295.101 ❧ [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:] Non-Alphabetic Cuneiform ❧ [Physical Object Description:] Clay tablet with cuneiform text. Seal impression on left edge, reverse. ❧ [Physical Object Note:] Broken bottom edge, right edge. Damaged left edge.
DOI: 10.25549/inscriptifact-ouc110827199
title: Persepolis Fortification Elamite Tablet 2295.101, Fort 2295.101

description: [Text Description:] Administrative text with seals ❧ [Text or Publication Number Note:] Fort 2295.101 ❧ [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:] Non-Alphabetic Cuneiform ❧ [Physical Object Description:] Clay tablet with cuneiform text. Seal impression on left edge, reverse. ❧ [Physical Object Note:] Broken bottom edge, right edge. Damaged left edge.
DOI: 10.25549/inscriptifact-ouc110827190
title: Persepolis Fortification Elamite Tablet 2295.101, Fort 2295.101

description: [Text Description:] Administrative text with seals ❧ [Text or Publication Number Note:] Fort 2295.101 ❧ [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:] Non-Alphabetic Cuneiform ❧ [Physical Object Description:] Clay tablet with cuneiform text. Seal impression on left edge, reverse. ❧ [Physical Object Note:] Broken bottom edge, right edge. Damaged left edge.
DOI: 10.25549/inscriptifact-ouc110827171
title: Persepolis Fortification Elamite Tablet 2295.101, Fort 2295.101

description: [Text Description:] Administrative text with seals ❧ [Text or Publication Number Note:] Fort 2295.101 ❧ [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:] Non-Alphabetic Cuneiform ❧ [Physical Object Description:] Clay tablet with cuneiform text. Seal impression on left edge, reverse. ❧ [Physical Object Note:] Broken bottom edge, right edge. Damaged left edge.
DOI: 10.25549/inscriptifact-ouc110827170
title: Persepolis Fortification Elamite Tablet 2295.101, Fort 2295.101

description: [Text Description:] Administrative text with seals ❧ [Text or Publication Number Note:] Fort 2295.101 ❧ [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:] Non-Alphabetic Cuneiform ❧ [Physical Object Description:] Clay tablet with cuneiform text. Seal impression on left edge, reverse. ❧ [Physical Object Note:] Broken bottom edge, right edge. Damaged left edge.
DOI: 10.25549/inscriptifact-ouc110827159
title: Persepolis Fortification Elamite Tablet 2293.105, Fort 2293.105

description: [Text Description:] Administrative text with seal ❧ [Text or Publication Number Note:] Fort 2293.105 ❧ [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:] Non-Alphabetic Cuneiform ❧ [Physical Object Description:] Clay tablet with cuneiform text. Seal impression on upper edge? ❧ [Physical Object Note:] Upper section of tablet is broken off. Cracks on obverse, reverse.
DOI: 10.5281/zenodo.11068045
title: An Acoustic and Optical Dataset for the Perception of Underwater Unexploded Ordnance (UXO)

description: We present a dataset for acoustic and optical sensing of unexploded ordnance (UXO) underwater.

UXO in the sea pose an environmental problem and a challenge for the growing offshore economy. It is best practice to perform the recovery of ammunition without explosions to protect anthropogenic structures and marine mammals. During explosive ordnance disposal (EOD), experts often rely on optical images. However, visibility underwater may be limited in harbor areas, after storm events or in waters with very mobile sediments. Thus, visual inspection is not always possible. EOD experts therefore use high-frequency sonars with large vertical apertures like the ARIS Explorer 3000 for acoustic imaging. While efforts have been made to use the available information for 3D reconstruction, existing solutions can be limited to predefined motion patterns. 

The topic is inherently sensitive, and most of the data is acquired by and for private companies and not made available to the public, which impedes research in this area. Additionally, in-situ data often lacks sufficient pose information. To facilitate further research, we created a validation dataset that was recorded in a controlled experimental environment. It has the following properties:



Close to 100 recordings of 3 different UXO.

More than 74000 matched and annotated imaging sonar and camera frames.

UXO ground truths in the form of photogrammetric 3D models.

Precise position and attitude sensor data with respect to the targets.

Realistic motion trajectories achievable in non-experimental environments.


This dataset allows quantitative analysis with different algorithms. 3D models and trajectories can be compared against each other to evaluate different solutions.

 

The accompanying paper is:



@INPROCEEDINGS{dahn2024uxo,  author={Dahn, Nikolas and Firvida, Miguel Bande and Sharma, Proneet and Christensen, Leif and Geisle, Oliver and Mohrmann, Jochen and Frey, Torsten and Kumar Sanghamreddy, Prithvi and Kirchner, Frank},  booktitle={OCEANS 2024 - Halifax},   title={An Acoustic and Optical Dataset for the Perception of Underwater Unexploded Ordnance (UXO)},   year={2024},  doi={10.1109/OCEANS55160.2024.10754316}}


The paper is available on researchgate.

 

Notes:



Labels have been (unfortunately) generated for the SD camera frames. To get the correct coordinates on the included FHD images, multiply all coordinates by 3.


 

Files:



data_export_recordings.7z: main dataset

data_export_polar.7z: contains only the polar-transformed sonar frames

data_export_3dmodels.7z: 3d models of the UXO

data_processed.7z: extracted and cut unmatched raw data
description: Changelog

v1.1: 



Added sample.7z, a small excerpt from the recordings, including polar frames and labels
DOI: 10.5281/zenodo.11068046
title: An Acoustic and Optical Dataset for the Perception of Underwater Unexploded Ordnance (UXO)

description: We present a dataset for acoustic and optical sensing of unexploded ordnance (UXO) underwater.

UXO in the sea pose an environmental problem and a challenge for the growing offshore economy. It is best practice to perform the recovery of ammunition without explosions to protect anthropogenic structures and marine mammals. During explosive ordnance disposal (EOD), experts often rely on optical images. However, visibility underwater may be limited in harbor areas, after storm events or in waters with very mobile sediments. Thus, visual inspection is not always possible. EOD experts therefore use high-frequency sonars with large vertical apertures like the ARIS Explorer 3000 for acoustic imaging. While efforts have been made to use the available information for 3D reconstruction, existing solutions can be limited to predefined motion patterns. 

The topic is inherently sensitive, and most of the data is acquired by and for private companies and not made available to the public, which impedes research in this area. Additionally, in-situ data often lacks sufficient pose information. To facilitate further research, we created a validation dataset that was recorded in a controlled experimental environment. It has the following properties:



Close to 100 recordings of 3 different UXO.

More than 74000 matched and annotated imaging sonar and camera frames.

UXO ground truths in the form of photogrammetric 3D models.

Precise position and attitude sensor data with respect to the targets.

Realistic motion trajectories achievable in non-experimental environments.


This dataset allows quantitative analysis with different algorithms. 3D models and trajectories can be compared against each other to evaluate different solutions.

 

The accompanying paper is:



@INPROCEEDINGS{dahn2024uxo,  author={Dahn, Nikolas and Firvida, Miguel Bande and Sharma, Proneet and Christensen, Leif and Geisle, Oliver and Mohrmann, Jochen and Frey, Torsten and Kumar Sanghamreddy, Prithvi and Kirchner, Frank},  booktitle={OCEANS 2024 - Halifax},   title={An Acoustic and Optical Dataset for the Perception of Underwater Unexploded Ordnance (UXO)},   year={2024},  doi={10.1109/OCEANS55160.2024.10754316}}


The paper is available on researchgate.

 

Files:



data_export_recordings.7z: main dataset

data_export_polar.7z: contains only the polar-transformed sonar frames

data_export_3dmodels.7z: 3d models of the UXO

data_processed.7z: extracted and cut unmatched raw data
DOI: 10.5281/zenodo.13778485
title: An Acoustic and Optical Dataset for the Perception of Underwater Unexploded Ordnance (UXO)

description: We present a dataset for acoustic and optical sensing of unexploded ordnance (UXO) underwater.

UXO in the sea pose an environmental problem and a challenge for the growing offshore economy. It is best practice to perform the recovery of ammunition without explosions to protect anthropogenic structures and marine mammals. During explosive ordnance disposal (EOD), experts often rely on optical images. However, visibility underwater may be limited in harbor areas, after storm events or in waters with very mobile sediments. Thus, visual inspection is not always possible. EOD experts therefore use high-frequency sonars with large vertical apertures like the ARIS Explorer 3000 for acoustic imaging. While efforts have been made to use the available information for 3D reconstruction, existing solutions can be limited to predefined motion patterns. 

The topic is inherently sensitive, and most of the data is acquired by and for private companies and not made available to the public, which impedes research in this area. Additionally, in-situ data often lacks sufficient pose information. To facilitate further research, we created a validation dataset that was recorded in a controlled experimental environment. It has the following properties:



Close to 100 recordings of 3 different UXO.

More than 74000 matched and annotated imaging sonar and camera frames.

UXO ground truths in the form of photogrammetric 3D models.

Precise position and attitude sensor data with respect to the targets.

Realistic motion trajectories achievable in non-experimental environments.


This dataset allows quantitative analysis with different algorithms. 3D models and trajectories can be compared against each other to evaluate different solutions.

 

The accompanying paper is:



@INPROCEEDINGS{dahn2024uxo,  author={Dahn, Nikolas and Firvida, Miguel Bande and Sharma, Proneet and Christensen, Leif and Geisle, Oliver and Mohrmann, Jochen and Frey, Torsten and Kumar Sanghamreddy, Prithvi and Kirchner, Frank},  booktitle={OCEANS 2024 - Halifax},   title={An Acoustic and Optical Dataset for the Perception of Underwater Unexploded Ordnance (UXO)},   year={2024},  doi={10.1109/OCEANS55160.2024.10754316}}


The paper is available on researchgate.

 

Notes:



Labels have been (unfortunately) generated for the SD camera frames. To get the correct coordinates on the included FHD images, multiply all coordinates by 3.


 

Files:



data_export_recordings.7z: main dataset

data_export_polar.7z: contains only the polar-transformed sonar frames

data_export_3dmodels.7z: 3d models of the UXO

data_processed.7z: extracted and cut unmatched raw data
description: Changelog

v1.1: 



Added sample.7z, a small excerpt from the recordings, including polar frames and labels
DOI: 10.3535/1b1-mk7-c1l
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/t6k-gs0-7f0
title: Cnidaria

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/cbp-ltj-zd0
title: Cnidaria

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/kb2-mel-621
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/7jp-gez-689
title: Porifera Grant, 1836

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/mp2-1am-led
title: Anatomites

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/42d-kx5-5ly
title: Cnidaria

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/0b8-hwg-02w
title: †Orbicella felixi Gerth, 1923

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/qg7-r6c-kck
title: †Flabellum tuberculatum Keferstein, 1859

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/mvp-x00-1t0
title: Porifera Grant, 1836

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/2gt-ryp-4zr
title: Cnidaria

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/thj-znw-99k
title: Cnidaria

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/jpm-jh5-v8r
title: Cnidaria

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.15468/dl.95f43u
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Alpheus maxilliplanus"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023969-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/dlj-f4k-7my
title: †Phyllangia divaricata Gerth, 1923

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/lfh-zts-6j7
title: Cnidaria

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/gbe-7ac-a0l
title: †Tarbellastraea Alloiteau, 1952

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/xbm-fv4-zsg
title: Cnidaria

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/g2g-h1v-m0g
title: Porifera Grant, 1836

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/e4q-e2z-k9y
title: Cnidaria

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/xk0-6yb-fd0
title: Filellum Hincks, 1868

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/lj5-ctw-lh1
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/hgc-jac-5vw
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/lsp-cv8-jqm
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/rhx-mkd-er8
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/7wd-22y-317
title: †Heterocoenia Milne Edwards & Haime, 1848

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/x98-912-p65
title: Porifera Grant, 1836

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/1sl-60v-nr6
title: Cnidaria

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/26a-97d-8nn
title: Bos taurus Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/7pw-nt8-jsq
title: Cnidaria

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/pwp-04w-dw1
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/4le-3ew-h4c
title: Squalus

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/2er-g69-5p7
title: Discophyllites

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.5281/zenodo.15479802
title: Acceptor screening dataset of GT1s / UGTs

description: Acceptor screening dataset of GT1s / UGTs
DOI: 10.15468/dl.gq63nh
title: Occurrence Download

description: A dataset containing 104 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Colombia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Issue is Geodetic datum assumed WGS84",
 "OccurrenceStatus is Present",
 "TaxonKey is Urera baccifera (L.) Gaudich. ex Wedd."
 ]
}

 The dataset includes 104 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008598-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.