cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17882/55541
title: Thermistor chain temperature data from the EMSO-Azores observatory, 2016-2017

description: This dataset contains temperature data acquired between 7 September 2016 and February 2017 using hundred ONE_WIRE_DS18B20S (Maxim IC) sensors installed along a 70 m chain. Sensors are located on the last 50 m of the chain, each separated by 50 cm. The chain is connected to the SeaMoN East frame which is part of the SeaMoN East ecological monitoring node. Data was acquired every five minutes. The chain suffered a malfunction starting in January 2017. Data was cleaned for obvious outliers (temperature &gt; 84°C or &lt; 4°C). Data from 18 to 21 January 2017 should be considered with caution. Data after 21 January 2017 were removed.
DOI: 10.17882/76283
title: Currents and topography drive assemblage distribution on an active hydrothermal edifice: associated data

description: The deep sea is characterized by a wide range of landscapes, including complex features where topography and currents interact to form highly heterogeneous habitats. In addition to a complex topography, hydrothermal vent environments are characterized by strong environmental gradients that structure the spatial distribution of biological communities. The role of vent fluid temperature and chemical composition on species distribution is now well understood, but investigations on the effects of the complex sulfide edifice topography are scarce. Here, we used a novel approach combining 3D photogrammetric reconstruction, in situ environmental measurements and modeling to characterize assemblage distribution on the active edifice Eiffel Tower (Lucky Strike, Mid-Atlantic Ridge). Through the analysis of a high-resolution 3D model of the edifice, we show that assemblage distribution along with hydrothermal activity vary with their position on the edifice. Although physical terrain variables had a minor effect on assemblage distribution, the distance from fluid exits explained the distribution of most assemblages. However, these particular variables did not significantly explain the distribution of medium-sized Bathymodiolus azoricus mussels, the dominant assemblage on the edifice. Similarly, proximity to fluid exits only partially accounted for the distribution of microbial mats throughout the edifice. By modeling the current-driven dispersion of hydrothermal plumes around the edifice, we demonstrated that differences in mussel sizes may be due to differences in exposure time to currents bringing plume material. For the first time, we provide evidence that hydrothermal plumes can affect faunal assemblages meters away from fluid exits and that this relatively long-distance effect of vent plumes can fully account for microbial mat distribution throughout the edifice. Our findings extend the area of influence of hydrothermal plumes on vent communities considerably beyond previous estimations and suggest that the interactions between bottom currents, topography and smoker locations should be further investigated and considered as important structuring factors at vents. This novel approach, allowing to cover large areas of the seafloor, is particularly well suited for deep environments where topography and currents interact to form complex oceanographic patterns (e.g. canyons, seamounts). Its application to larger areas and various ecosystems can significantly enhance our understanding of benthic communities’ distribution at large.
DOI: 10.17882/84226
title: Thermistor chain temperature data from the EMSO-Azores observatory, 2020-2021

description: This dataset contains temperature data acquired with a 70 m long thermistor chain (50 m equipped with sensors, 20 m of cable to the monitoring station), deployed on the EMSO-Azores observatory from September 2020 to May 2021. Each thermometer is separated by 50 cm for a total of 100 temperature points. Data consist in 70 963 measurements acquired every 15 minutes. The chain is connected to the SEAMON East environmental monitoring node and measures temperatures on different faunal assemblages and substratum on the active Tour Eiffel edifice at 1695 m depth.
The raw file contains all data acquired by the sensors. The corrected file was processed to remove outliers that included values below background seawater temperature (4°C), values above 30°C that corresponded to simultaneous periods of high/homogeneous temperature values recorded on all sensors. Unique outliers were then removed after screening of the graph. If extreme values lasted at least three consecutive step, they were kept. Removed values were replaced by NAs.
Location of the Eiffel Tower edifice : N 37°17.33 - W 32° 16.53
DOI: 10.17882/100007
title: Array of Ocean Bottom Tilt Current Meters: data from the EMSO-Azores observatory, 2022-2023

description: This dataset contains current data acquired between june 2022 and July 2023 using 5 TCM-3 Ocean Bottom Tilt Current Meters installed next to the Tour Eiffel, hydrothermal vent site and near the SeaMon west station. The TCM-3 Ocean Bottom Tilt Current Meter from Lowell Instruments LLC (North Falmouth, MA, USA) measures current using the drag-tilt principle. The logger is buoyant and is anchored to the bottom via a short flexible tether. Drag from moving water tilts the logger in the direction of flow. The logger’s accelerometer and magnetometer channels are used to record the amount of tilt and direction of tilt (compass bearing). The currentmeter's internal clocks are set to UTC time before deployment. Clock drift after recovery is not implemented in data but added as metadata in the meta data file.
Data are provided for each deployed instrument as two text files:
 - current data
 - temperature data
DOI: 10.17882/101802
title: Array of Ocean Bottom Tilt Current Meters: data from the EMSO-Azores observatory, 2023-2024

description: This dataset contains current data acquired between july 2023 and august 2024 using 5 TCM-3 Ocean Bottom Tilt Current Meters installed next to the Tour Eiffel, hydrothermal vent site and near the SeaMon west station.
The TCM-3 Ocean Bottom Tilt Current Meter from Lowell Instruments LLC (North Falmouth, MA, USA) measures current using the drag-tilt principle. The logger is buoyant and is anchored to the bottom via a short flexible tether. Drag from moving water tilts the logger in the direction of flow. The logger’s accelerometer and magnetometer channels are used to record the amount of tilt and direction of tilt (compass bearing). The currentmeter's internal clocks are set to UTC time before deployment. Clock drift after recovery is not implemented in data but added as metadata in metadata file.
Data are provided for each deployed instrument as two text files:
 - current data
 - temperature data
DOI: 10.17882/57005
title: Array of Ocean Bottom Tilt Current Meters: data from the EMSO-Azores observatory, 2017-2018

description: This dataset contains current data acquired between July 2017 and August 2018 using 3 TCM3 Ocean Bottom Tilt Current Meters installed next to the Tour Eiffel, Montségur and Crystal hydrothermal vent sites.
The TCM-3 Ocean Bottom Tilt Current Meter from Lowell Instruments LLC (North Falmouth, MA, USA) measures current using the drag-tilt principle. The logger is buoyant and is anchored to the bottom via a short flexible tether. Drag from moving water tilts the logger in the direction of flow. The logger’s accelerometer and magnetometer channels are used to record the amount of tilt and direction of tilt (compass bearing). The array comprises 3 currentmeters, deployed near the Tour Eiffel, Montségur and Crystal hydrothermal vent sites. It is not connected to an energy node. The currentmeter's internal clocks are set to UTC time before deployment. Clock drift after recovery is not implemented in data but added as metadata in Table_TCM3EMSO_Azores 2016-2018.
DOI: 10.17882/74195
title: Array of Ocean Bottom Tilt Current Meters: data from the EMSO-Azores observatory, 2016-2017

description: This dataset contains current data acquired between September 2016 and July 2017 using 2 TCM3 Ocean Bottom Tilt Current Meters installed next to the Tour Eiffel and Montségur hydrothermal vent sites.
The TCM-3 Ocean Bottom Tilt Current Meter from Lowell Instruments LLC (North Falmouth, MA, USA) measures current using the drag-tilt principle. The logger is buoyant and is anchored to the bottom via a short flexible tether. Drag from moving water tilts the logger in the direction of flow. The logger’s accelerometer and magnetometer channels are used to record the amount of tilt and direction of tilt (compass bearing). The array comprised 3 currentmeters, deployed near the Tour Eiffel, Montségur and White Castle hydrothermal vent sites (the instrument at White Castle did not recover data). The array is not connected to an energy node. The currentmeter's internal clocks are set to UTC time before deployment. Clock drift after recovery is not implemented in data but added as metadata in the file "Sites and Sensor metadata".
DOI: 10.17882/74378
title: Array of Ocean Bottom Tilt Current Meters: data from the EMSO-Azores observatory, 2018-2019

description: This dataset contains current data acquired between Auguest 2018 and June 2019 using 3 TCM3 Ocean Bottom Tilt Current Meters installed next to the Tour Eiffel, Montségur and Crystal hydrothermal vent sites.
The TCM-3 Ocean Bottom Tilt Current Meter from Lowell Instruments LLC (North Falmouth, MA, USA) measures current using the drag-tilt principle. The logger is buoyant and is anchored to the bottom via a short flexible tether. Drag from moving water tilts the logger in the direction of flow. The logger’s accelerometer and magnetometer channels are used to record the amount of tilt and direction of tilt (compass bearing). The array comprises 3 currentmeters, deployed near the Tour Eiffel, Montségur and Crystal hydrothermal vent sites. It is not connected to an energy node. The currentmeter's internal clocks are set to UTC time before deployment. Clock drift after recovery is not implemented in data but added as metadata in file Sensor Metadata.
DOI: 10.17882/76001
title: Array of Ocean Bottom Tilt Current Meters: data from the EMSO-Azores observatory, 2019-2021

description: This dataset contains current data acquired between july 2019 and June 2021 using 6 TCM-3 Ocean Bottom Tilt Current Meters installed next to the Tour Eiffel, Montségur and Crystal hydrothermal vent sites.
The TCM-3 Ocean Bottom Tilt Current Meter from Lowell Instruments LLC (North Falmouth, MA, USA) measures current using the drag-tilt principle. The logger is buoyant and is anchored to the bottom via a short flexible tether. Drag from moving water tilts the logger in the direction of flow. The logger’s accelerometer and magnetometer channels are used to record the amount of tilt and direction of tilt (compass bearing). The array comprises 6 TCM-3  currentmeters, deployed near the Tour Eiffel, Montségur and Crystal hydrothermal vent sites. It is not connected to an energy node. The currentmeter's internal clocks are set to UTC time before deployment. Clock drift after recovery is not implemented in data but added as metadata in the metadata file.
DOI: 10.17882/91238
title: Array of Ocean Bottom Tilt Current Meters: data from the EMSO-Azores observatory, 2021-2022

description: This dataset contains current data acquired between june 2021 and June 2022 using 5 TCM-3 Ocean Bottom Tilt Current Meters installed next to the Tour Eiffel, Montségur and Crystal hydrothermal vent sites.
The TCM-3 Ocean Bottom Tilt Current Meter from Lowell Instruments LLC (North Falmouth, MA, USA) measures current using the drag-tilt principle. The logger is buoyant and is anchored to the bottom via a short flexible tether. Drag from moving water tilts the logger in the direction of flow. The logger’s accelerometer and magnetometer channels are used to record the amount of tilt and direction of tilt (compass bearing). The array comprises 6 TCM-3  currentmeters, deployed near the Tour Eiffel, Montségur and Crystal hydrothermal vent sites. It is not connected to an energy node. The currentmeter's internal clocks are set to UTC time before deployment. Clock drift after recovery is not implemented in data but added as metadata in the metadata file.
Data are provided for each deployed instrument as two text files:
 - current data
 - temperature data
DOI: 10.17882/102699
title: Autonomous ibuttons temperature data from the EMSO-Azores observatory, 2023-2024

description: This dataset contains temperature data acquired between July 2023 and June 2024 using 5 thermocrons i-buttons © installed along chains nearby the SMOOVE camera connected the SeaMoN East frame. Data was acquired every hour. The array is not connected to an energy node. They are associated with the SMOOVE camera which is part of the SeaMoN East ecological monitoring node.
Location : N 37°17.334, W 32°16.534, 1692 m
DOI: 10.17882/102820
title: MESOCOSME temperature and images, data from the EMSO-Azores observatory, 2021

description: This dataset contains video and temperature data acquired with the MESOCOSME, deployed at the Montsegur edifice during the Momarsat 2021 cruise as part of the EMSO-Azores observatory from 9 to 11 June, 2021. Data consist in 5260 pictures. Pictures were taken every 2 seconds during 1 minute, every 15 minutes. The module was deployed autonomously at the base of the Montsegur edifice. Size of images: 3840 x 2160 pixels. The full dataset is 18.1 GO. Temperature data were acquired with 7 iButtons Thermocron along of a gradient of fluid influence every 5 minutes and include 1,124 measurement.
Location : 
 - N 37°17.287
 - W 32°16.538 
 - Depth : 1705 m
DOI: 10.17882/52144
title: Autonomous ibuttons temperature data from the EMSO-Azores observatory, 2014-2015

description: This dataset contains temperature data acquired between July 2014 and April 2015 using15 thermocrons i-buttons © installed along chains in the field of view of the SMOOVE camera connected the SeaMoN East frame. Data was acquired every hour. The array is not connected to an energy node. They are associated with the SMOOVE camera which is part of the SeaMoN East ecological monitoring node.
DOI: 10.17882/52149
title: Autonomous ibuttons temperature data from the EMSO-Azores observatory, 2015-2016

description: This dataset contains temperature data acquired between April 2015 and September 2016 using16 thermocrons i-buttons © installed along chains in the field of view of the SMOOVE camera connected the SeaMoN East frame. Data was acquired every 2 hours. The array is not connected to an energy node. They are associated with the SMOOVE camera which is part of the SeaMoN East ecological monitoring node.
DOI: 10.17882/52150
title: Autonomous ibuttons temperature data from the EMSO-Azores observatory, 2016-2017

description: This dataset contains temperature data acquired between September 2016 and July 2017 using 10 thermocrons i-buttons © installed along chains in the field of view of the SMOOVE camera connected the SeaMoN East frame. Data was acquired every hour. The array is not connected to an energy node. They are associated with the SMOOVE camera which is part of the SeaMoN East ecological monitoring node.
DOI: 10.17882/80039
title: Autonomous ibuttons temperature data from the EMSO-Azores observatory, 2017-2018

description: This dataset contains temperature data acquired between July 2017 and August 2018 using 15 thermocrons i-buttons © installed along chains in the field of view of the SMOOVE camera connected the SeaMoN East frame. Data was acquired every 2 hours. The array is not connected to an energy node. They are associated with the SMOOVE camera which is part of the SeaMoN East ecological monitoring node.
DOI: 10.17882/80040
title: Autonomous ibuttons temperature data from the EMSO-Azores observatory, 2018-2019

description: This dataset contains temperature data acquired between August 2018 and June 2019 using 15 thermocrons i-buttons© installed along chains in the field of view of the SMOOVE camera connected the SeaMoN East frame. Data was acquired every 2 hours. The array is not connected to an energy node. They are associated with the SMOOVE camera which is part of the SeaMoN East ecological monitoring node.
DOI: 10.17882/80042
title: Autonomous ibuttons temperature data from the EMSO-Azores observatory, 2019-2020

description: This dataset contains temperature data acquired between June 2019 and September 2020 using 5 thermocrons i-buttons © installed along chains in the field of view of the SMOOVE camera connected the SeaMoN East frame. Data was acquired every 2 hours. The array is not connected to an energy node. They are associated with the SMOOVE camera which is part of the SeaMoN East ecological monitoring node.
DOI: 10.17882/83951
title: Autonomous ibuttons temperature data from the EMSO-Azores observatory, 2020-2021

description: This dataset contains temperature data acquired between September 2020 and June 2021 with thermocrons® i-buttons® installed along chains in the field of view of the SMOOVE camera connected the SeaMoN East frame. Data was acquired every hour. The array is not connected to an energy node. They are associated with the SMOOVE camera which is part of the SeaMoN East ecological monitoring node. An image showing the location of each button upon deployment is provided, but note that the buttons move over the year and did not remain in the same position.  Each button acquired 6 508 measurements.
Location : Latitude N 37°17.325; longitude W 032°16.537; 1699 m depth
DOI: 10.17882/92458
title: Autonomous ibuttons temperature data from the EMSO-Azores observatory, 2021-2022

description: This dataset contains temperature data acquired between June 2021 and April 2022 with thermocronsÒ i-buttonsÒ installed along chains in the field of view of the SMOOVE camera connected the SeaMoN East frame. Data was acquired every hour. The array is not connected to an energy node. They are associated with the SMOOVE camera which is part of the SeaMoN East ecological monitoring node. An image showing the location of each button upon deployment is provided, but note that the buttons move over the year and did not remain in the same position.  Each button acquired 7 589 measurements. 
Location : N 37°17.325; longitude W 032°16.537; 1699 m depth
DOI: 10.17882/102863
title: MESOCOSME temperature and images, data from the EMSO-Azores observatory, 2022

description: This dataset contains video and temperature data acquired with the MESOCOSME, deployed at the Montsegur edifice during the Momarsat 2022 cruise as part of the EMSO-Azores observatory from 19 to 24 June, 2022. Data consist in 6,697 pictures. Pictures were taken every 2 seconds during 2 minutes, every hour. The module was deployed autonomously at the base of the Montsegur edifice. Size of images: 3840 x 2160 pixels. The full dataset is 20.3 GO. Temperature data were acquired with 7 iButtons Thermocron along a gradient of fluid influence every 2 minutes and include 3,628 measurements.
Location : 
 - N 37°17.282
 - W 32°16.536
 - Depth : 1703m
DOI: 10.7910/dvn/ant4pb
title: Replication Data for: Forest ecosystem service data

description: This dataset contains remote sensing derived forest biomass collected from 20 forest parks distributed across three major forest biomes worldwide: boreal forests, tropical forests, and temperate forests. The selected sites represent diverse climatic zones, vegetation types, and ecological functions. Each forest park dataset includes processed satellite imagery, accompanied by shapefiles defining the study area boundaries and metadata files describing the acquisition and preprocessing steps.
DOI: 10.15468/dl.c7j3bb
title: Occurrence Download

description: A dataset containing 636 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Occurrence evidence, Specimen, Fossil, Living Specimen)",
 "Continent is one of (Africa, Europe, North America)",
 "Country is one of (Namibia, Angola, United States of America, Germany)",
 "DatasetKey is one of (African Plants - a photo guide, iNaturalist Research-grade Observations, Observation.org, Nature data from around the World, Pl@ntNet observations, NABU|naturgucker, Botanical Database of Southern Africa (BODATSA): Botanical Collections, Pl@ntNet automatically identified occurrences, Tropicos MO Specimen Data, SFV - California State University, Northridge, Centre for Australian National Biodiversity Research (CANB) AVH data)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Month is one of (January, February, March, April, May, June, July, August, December, November, October, September)",
 "OccurrenceStatus is Present",
 "PublishingOrg is one of (28eb1a3f-1c15-4a95-931a-4af90ecb574d, c8d737e0-2ff8-42e8-b8fc-6b805d26fc5f, da86174a-a605-43a4-a5e8-53d484152cd3, bb646dff-a905-4403-a49b-6d378c2cf0d9, c76cf030-2a95-11da-9cc1-b8a03c50a862, c5f7ef70-e233-11d9-a4d6-b8a03c50a862, 2ebbf9e5-146f-47cf-8c1b-9d117d2860e4, 90fd6680-349f-11d8-aa2d-b8a03c50a862, 9d615537-c4d9-40fe-bf74-0e4dc9b42078)",
 "TaxonKey is Welwitschia mirabilis Hook.f.",
 "Year 1990-2025"
 ]
}

 The dataset includes 636 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003245-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xu9urb
title: Occurrence Download

description: A dataset containing 107176 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Vigna unguiculata (L.) Walp."
 ]
}

 The dataset includes 107176 records from 369 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003238-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c22twj
title: Occurrence Download

description: A dataset containing 1191 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Apus caffer (M.H.K.Lichtenstein, 1823)",
 "HasCoordinate is true",
 "Year is greater than 1989",
 "Year is less than 2026",
 {
 "not" : {
 "OccurrenceStatus" : [
 "is Absent"
 ]
 }
 },
 "CoordinateUncertaintyInMeters is less than or equal to 1000"
 ]
}

 The dataset includes 1191 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003246-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.