cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.ug35hf
title: Occurrence Download

description: A dataset containing 34251 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Circus cinereus Vieillot, 1816"
 ]
}

 The dataset includes 34251 records from 70 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009666-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6856bu
title: Occurrence Download

description: A dataset containing 878950 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "TaxonKey is Fungi"
 ]
}

 The dataset includes 878950 records from 365 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009659-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x2jx7p
title: Occurrence Download

description: A dataset listing the 64297 species recorded in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "TaxonKey is Fungi"
 ]
}

 The dataset's 64297 records were derived from 365 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009660-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qmxtm6
title: Occurrence Download

description: A dataset containing 80 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-115.31912 31.25905,-107.86462 31.25905,-107.86462 39.30616,-115.31912 39.30616,-115.31912 31.25905))",
 "Month is one of (February, March, April, June, May, July, August, September, October, November)",
 "OccurrenceStatus is Present",
 "TaxonKey is Aphelocoma californica (Vigors, 1839)",
 "Year 2013-2023"
 ]
}

 The dataset includes 80 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009667-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bbya8d
title: Occurrence Download

description: A dataset containing 16693 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Accipiter bicolor (Vieillot, 1817)"
 ]
}

 The dataset includes 16693 records from 108 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009669-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.966180
title: Heatwaves experiment in the Kiel Outdoor Benthocosm 2015: consumers' respiration

description: The data were generated during an experiment simulating different frequencies of heatwaves (zero, one and three) in late spring/summer. The experiment was carried out at the Kiel Outdoor Benthocosm (KOB) of GEOMAR Helmholtz Centre for Ocean Research Kiel, located at the Kiel Fjord. The consumers were collected from the mesocosm tanks and the respiration rates were measured in the lab. The measurements were carried out on 10.08.2015 (Idotea balthica), 11.08.2015 (Littorina littorea) and 14.08.2015 (Gammarus sp.). The organisms were kept in gas-tight bottles equipped with sensor spots for non-invasive oxygen measurements, which allowed continuous oxygen logging. Throughout the measurements, the bottles were kept in water baths with temperature set to 19.7 °C, which was the temperature all the KOB tanks were exposed to at the time of the measurements. The oxygen values were converted to carbon and normalized by the area of the tank (1.53 m2) per day.
DOI: 10.1594/pangaea.966179
title: Heatwaves experiment in the Kiel Outdoor Benthocosm 2015: stable isotopes

description: The data refer to an experiment simulating different frequencies of heatwaves (zero, one and three) in late spring/summer 2015. The experiment was carried out at the Kiel Outdoor Benthocosm (KOB) of GEOMAR Helmholtz Centre for Ocean Research Kiel, located at the Kiel Fjord. The organisms were collected from the mesocosm tanks, stored at -80 °C, dried at 60 °C for at least 48 hours, and ground with agate mortar and pestle. The ground material was subsampled, weighed and placed into tin capsules (3.2 × 4.0 mm, Hekatech, Wegberg, Germany). These samples were analysed with an elemental analyser system (NA 1110, Thermo, Milan, Italy) connected to a temperature-controlled gas chromatography oven (SRI 9300, SRI Instruments, Torrance, CA, USA) and to an isotope-ratio mass spectrometer (DeltaPlus Advantage, Thermo Fisher Scientific) as described in Hansen et al. (2009), https://doi.org/10.1002/rcm.4267.
DOI: 10.1594/pangaea.904632
title: Heatwave experiment in Kiel Outdoor Benthocosms, 2015: respiration and gross photosynthesis of Zostera marina

description: Method: Oxygen development in incubation chambers of seagrass planted in a pot [control = pot without seagrass)
DOI: 10.1594/pangaea.971297
title: Experiment on the effect of an interaction of heat and hypoosmotic stress on the growth and photosynthetic performance of tropical seagrass species Thalassia testudinum: shoot density

description: This study examined the response of tropical seagrass species Thalassia testudinum to a combination of heat and hypoosmotic stress. These two stressors are of major importance, as studies predict a rise in sea surface temperatures, as well as in increase in precipitation in the Caribbean region. Field-studies revealed the plant to exhibit a slow stress response to e.g. elevated temperatures and changes in salinity, however, they also showed the severity in changes in these factors. While in-situ observations allow for a good setting of treatment levels, there is a scarcity of in-culture experiments exposing T. testudinum to heat and osmotic stress, especially in combination. These experiments are essential to precisely delineate the effects and establish causality, thereby eliminating potential confounding factors. This in-culture experiment was performed in the culturing facilities of the GEOMAR building (54°19'48N 10°08'54E) using a culture of four T. testudinum clones. Plants were originally collected in 2017 from waters in front of the Smithsonian Tropical Research Institute in Bocas del Toro, Panama (9°21'04N 82°15'26W). Subsequently, they were cultivated in the GEOMAR culturing facilities under water temperatures of 28°C and salinities levels between 31-34. For the experiment, plants were replanted in February 2023 to fit a fully factorial experiment comprising all four clones crossed over four treatments: control (T=28°C; S=32.5), heat stress (T=34°C; S=32.5), hypoosmotic stress (T=28°C; S=27) and combined heat and hypoosmotic stress (T=34°C; S=27). Each treatment held three replicates (100 L aquaria), which in turn held two boxes of each clone with a starting number of two shoots each. Plants were given sufficient time to establish until overall net new growth in form of new shoot production was observed. After this initial establishment, a one week warming phase for heat treatments preceded the four-week stress period throughout August 2023, followed by cool-down phase and subsequently a total of six weeks recovery. During the stress period heat stress was a permanent stressor, while hypoosmotic stress was induced in pulsed salinity drops to simulated inflow events. For this, filtered (Aqua Medic Antiphos FE) water (50/50 VE and tap water) was added to the aquaria over two to three hours until the desired salinity of 27 was reached. The same water was used to refill evaporated water in the other treatments to keep salinity levels at 32.5. The total number of shoots of T. testudinum was counted at the start and at the end of the stress period, as well as after three and six weeks of recovery. This was done per replicate (aquaria) per treatment, meaning that the total number of shoots per clone within one replicate (total number of shoots of two boxes) was noted down. This was done to detect changes in shoot density when comparing treatments.
DOI: 10.15468/dl.ruqtqq
title: Occurrence Download

description: A dataset containing 336 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "TaxonKey is Pterois volitans (Linnaeus, 1758)"
 ]
}

 The dataset includes 336 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009671-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.950782
title: Temperature measurements at Brandallaguna in March 2021

description: Bottom water temperatures in lakes and the near-shore Arctic Ocean are usually below 4°C. If the water depth is shallow enough, the sea/lake ice freezes to the sea/lake bed and may significantly shift the mean annual temperature below zero. The temperature regime below the water is therefore directly dependent on the water depth and small changes can have ahuge impact.Measurements of the sediment temperature below shallow water bodies, however, are scarce, and single temperature-chains in boreholes are not sufficient to map the spatial variability. As part of the testing phase of the MOSES project, we tested a new temperature lance to measure temperature profiles in lake sediments. The device is a 1.5m steel lancewith 30 sensors at 5cm spacing that can be pushed or hammered into the sediment. The sensors equilibrate to the surrounding sediment or water within 10min, allowing for repeat measurements to cover the spatial variability. During the spring expedition to the Bayelva long-term observatory near Ny Ålesund, Svalbard, in March 2021, we measured thesediment temperature under the Brandallaguna and in the glacial lake Tvillingvatnet near the village of Ny Ålesund. The measurement at Tvilingvatnet was 16h long to allow for analysis regarding equilibration time.
DOI: 10.1594/pangaea.951082
title: Physical oceanography (CTD) measurements in Brandallaguna in March 2021

description: This dataset contains CTD measurements, taken together with temperature measurements in March 2021 at Brandallaguna and the glacial lake Tvilingvatnet near Ny Ålesund, Svalbard. Data was recorded using a CastAway-CTD that was manually lowered to the bottom of the lake or lagoon at the measurement sites and contains information about water conductivity, temperature and depth, as well as the GPS position.
DOI: 10.1594/pangaea.931773
title: Time lapse camera videos for monitoring snow and vegetation evolution in 2018 on Samoylov and Kurungnakh islands, Lena Delta, Russia

description: Ten time lapse cameras (Brinno TLC200) were installed in the central Lena River Delta, Siberia, during the RU-Land_2018_Lena field campaign. The cameras were set up on Kurungnakh Island in April 2018 to shoot footage of the 2018 snow melt and shooting season. The measurement sites cover different landscape settings and thermo-erosional landforms, including flat tundra surface of the first terrace, flat surfaces of Yedoma Ice Complex uplands, steep thermo-erosional gullies, gentle slopes of thermo-erosional valleys and the river valley of the main outlet of Kurungnakh Island. A detailed overview of covered terrain is included in the event table.The mounting positions and monitored terrains reflect the different applications for time-lapse monitoring. These were:1. monitoring of snow distribution and melt in thermo-erosional landforms2. monitoring of vegetation dynamics in representative landscape unitsNine TLCs were mounted onto a 2 m profiled aluminum pole using a Netatmo Weather Station Mount. The pole itself was drilled roughly 1 m into the ground (below the active layer) and frozen into place with water. One camera (KUR18-TLC-2B) was installed onto a previously installed metal rod. The installation height varied according to needs of the required field of view (FOV) between 1.1 – 1.9 m above ground. The cameras were set to shoot one frame per hour and encode the timestamp in UTC timezone within the frame.Most TLCs logged from the end of April to mid June 2018, covering the period of still undisrupted snow cover to successive snow melt and onset of leaf out and shooting. Some cameras were able to log until late August 2018, monitoring leaf out, shooting and coloring of the vegetation. Both, the length of the monitoring period and image quality were mainly determined by battery life and ground stability. We experienced that more exposed cameras had increased energy consumption leading to early battery failures. Failing batteries resulted in highly distorted (artifacts and ghost images within images) or repeated images towards the end of the time-lapse videos. Additionally, active thermal erosion of the ice-rich permafrost lead to slope instabilities which in turn tilted the mounting poles. Hence, the camera view changed abruptly at affected locations.This dataset contains the unprocessed time-lapse videos of every installed camera. Given the circumstances described before, we decided, however, to crop the raw footage to the last frame with a readable and logically correct time stamp. Time-lapse videos of cameras which showed signs of failure but recovered, were left as is.
DOI: 10.1594/pangaea.824123
title: Shorebased measurements during the GEOSECS Atlantic expedition
DOI: 10.1594/pangaea.969573
title: CO2 flux and environmental factor data of 2016 from the Dajiuhu peatland in Shennongjia, China

description: The contents of the dataset are the CO2 flux data and environmental factor data of the Dajiu Lake peatland in Shennongjia from 2016. The raw data was collected through the LI-7500 Open circuit infrared CO2/H2O gas analyzer (Licor,USA). The dataset uploaded this time is data that has been processed by the software EddyPro and Tovi (Licor,USA). NEE, Reco, and GEP are the three forms of CO2 fluxes, which are software-process data. The purpose of collecting these data was to explore the carbon source and sink function and carbon flux drivers of the Dajiuhu peatland.
DOI: 10.1594/pangaea.969574
title: CO2 flux and environmental factor data of 2017 from the Dajiuhu peatland in Shennongjia, China

description: The contents of the dataset are the CO2 flux data and environmental factor data of the Dajiu Lake peatland in Shennongjia from 2017. The raw data was collected through the LI-7500 Open circuit infrared CO2/H2O gas analyzer (Licor,USA). The dataset uploaded this time is data that has been processed by the software EddyPro and Tovi (Licor,USA). NEE, Reco, and GEP are the three forms of CO2 fluxes, which are software-process data. The purpose of collecting these data was to explore the carbon source and sink function and carbon flux drivers of the Dajiuhu peatland.
DOI: 10.1594/pangaea.969575
title: CO2 flux and environmental factor data of 2018 from the Dajiuhu peatland in Shennongjia, China

description: The contents of the dataset are the CO2 flux data and environmental factor data of the Dajiu Lake peatland in Shennongjia from 2018. The raw data was collected through the LI-7500 Open circuit infrared CO2/H2O gas analyzer (Licor,USA). The dataset uploaded this time is data that has been processed by the software EddyPro and Tovi (Licor,USA). NEE, Reco, and GEP are the three forms of CO2 fluxes, which are software-process data. The purpose of collecting these data was to explore the carbon source and sink function and carbon flux drivers of the Dajiuhu peatland.
DOI: 10.1594/pangaea.969576
title: CO2 flux and environmental factor data of 2019 from the Dajiuhu peatland in Shennongjia, China

description: The contents of the dataset are the CO2 flux data and environmental factor data of the Dajiu Lake peatland in Shennongjia from 2019. The raw data was collected through the LI-7500 Open circuit infrared CO2/H2O gas analyzer (Licor,USA). The dataset uploaded this time is data that has been processed by the software EddyPro and Tovi (Licor,USA). NEE, Reco, and GEP are the three forms of CO2 fluxes, which are software-process data. The purpose of collecting these data was to explore the carbon source and sink function and carbon flux drivers of the Dajiuhu peatland.
DOI: 10.1594/pangaea.969577
title: CO2 flux and environmental factor data of 2020 from the Dajiuhu peatland in Shennongjia, China

description: The contents of the dataset are the CO2 flux data and environmental factor data of the Dajiu Lake peatland in Shennongjia from 2020. The raw data was collected through the LI-7500 Open circuit infrared CO2/H2O gas analyzer (Licor,USA). The dataset uploaded this time is data that has been processed by the software EddyPro and Tovi (Licor,USA). NEE, Reco, and GEP are the three forms of CO2 fluxes, which are software-process data. The purpose of collecting these data was to explore the carbon source and sink function and carbon flux drivers of the Dajiuhu peatland.
DOI: 10.1594/pangaea.971368
title: Shipboard Acoustic Doppler Current Profiler measurements during R/V Littorina cruise L10-22

description: Vessel-mounted Acoustic Doppler Current Profiler (ADCP) measurements were carried out to acquire velocity profiles at two sites north (start: latitude & longitude: 54.229515,7.8437233) and northwest (start: latitude & longitude: 54.20431,7.862079) of Helgoland (Germany) during neap tide in June 2022 (29.06.2022 and 30.06.2022). The parallel transect method was adopted to acquire data over a semidiurnal tidal cycle that spanned 13 hours. On both days, surveys were conducted in a way where all the transects were traversed multiple times only from one direction. Each transect was ~1500 m and had a spacing of ~150 m. With a vessel speed of ~4 to 5 knots, each circuit formed by the 4 transect lines was traversed about ~13 times during the survey period of 13 hours. The measurements were conducted in bottom tracking mode with a 614.4-kHz Teledyne RD Instruments WorkHorse broadband ADCP. The ADCP was installed in convex and Janus configuration with a beam angle of 20 degrees to the supporting pole from the starboard side of the ship FK Littorina. The transducer face of the ADCP was 1.16 m below the water level, with a blank after transmitting (WF) set to 0.44 m. The ADCP was operated in a dynamic sea state (WM1) profiling mode with a depth cell length (WS) of 0.5 m and a total of 80 depth cells (WN). The bottom track pings per ensemble (BP) and pings per ensemble (WP) were set to 1; thus, 1 ensemble has 2 pings. The depth range covered by the ADCP is 2.10 m to 41.60 m. The data acquisition software ViSea DAS from Aqua Vision (https://aquavision.nl/services/visea-users/) used pitch and roll data from the ADCP's internal built-in motion reference unit and navigation and heading data from an auxiliary unit onboard the research vessel on a serial RS-232 interface to convert ADCP velocities into earth coordinates. The navigational data received correction signals to receive RTK "fix" status during the survey period, and the ADCP offsets were determined before the surveys to ensure the thoroughness and reliability of the data collection process.
DOI: 10.1594/pangaea.971449
title: GIS mapping of the moraines of the Mont-Blanc and Aiguilles Rouges massifs

description: This dataset is a shapefile (polyline) of the moraine ridges of the Mont-Blanc and Aiguilles-Rouges massifs (French, Italian and Swiss Alps) intended to be as exhaustive as possible. This dataset was produced during a master's internship in order to have a global overview of all the moraines in the area on GIS support. The main objective was to compare the moraine deposits of two periods: the Younger Dryas and the end of the Holocene (Neoglacial). The mapping was carried out at the scale of the two massifs using high-resolution DEMs (LiDAR HD, France; DTM 2005/2008, Italy; swissALTI3D, Switzerland) and geological maps. The deposition period was inferred when possible using absolute dating and geomorphological reconstructions (Gardent, 2014; Le Roy et al., 2015, doi:10.1016/j.quascirev.2014.10.033; Protin et al., 2019, doi:10.1016/j.quascirev.2019.105863, 2021, doi:10.1111/bor.12519; Serra et al., 2022, doi:10.1016/j.quascirev.2022.107446). The attribute table contains the following elements: moraine deposition period (Younger Dryas, Neoglaciation or unknown), name of the associated glacier, massif (Mont-Blanc or Aiguilles Rouges).
description: Projects:* TelluS MORCLIM-YDNG,File descriptions: * Shapefile file (polyline)* UTM 32N (EPSG 32632)
DOI: 10.1594/pangaea.971685
title: Ultra-violet measurements from station Selegua (2024-07)
DOI: 10.15468/dl.5uw9wx
title: Occurrence Download

description: A dataset containing 103313 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ictinia plumbea (Gmelin, 1788)"
 ]
}

 The dataset includes 103313 records from 191 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009664-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jtsqnn
title: Occurrence Download

description: A dataset containing 3094 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Uniola paniculata L."
 ]
}

 The dataset includes 3094 records from 82 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025475-230810091245214/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nxc4ba
title: Occurrence Download

description: A dataset containing 72337 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hyla arborea (Linnaeus, 1758)"
 ]
}

 The dataset includes 72337 records from 337 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0071763-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kmavbh
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Global Register of Introduced and Invasive Species - Jamaica"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0206904-210914110416597/datasets/export for details.
DOI: 10.15468/dl.y3ehj4
title: Occurrence Download

description: A dataset containing 24621183 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is India"
 ]
}

 The dataset includes 24621183 records from 2522 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0117795-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pkzsqf
title: Occurrence Download

description: A dataset listing the 260 species recorded in GBIF matching the query:
{
 "and" : [
 "GadmGid is COL.2.9_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Liliopsida"
 ]
}

 The dataset's 260 records were derived from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0411648-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kfjb2w
title: Occurrence Download

description: A dataset containing 2458 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tringa erythropus (Pallas, 1764)",
 "Year is greater than 2013",
 "Geometry MULTIPOLYGON (((19.51 47.46,19.51 36.21,6.41 36.21,6.41 47.46,19.51 47.46)))"
 ]
}

 The dataset includes 2458 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036510-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.