cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.1594/pangaea.945460
title: Continuous meteorological observations at DynaCom automatic weather station, Spiekeroog, Germany (2021-02)

description: Data presented here were collected within the research unit DynaCom (Spatial community ecology in highly dynamic landscapes: From island biogeography to metaecosystems, https://uol.de/dynacom/ ) of the Universities of Oldenburg, Göttingen, and Münster, the iDiv Leipzig and the Nationalpark Niedersächsisches Wattenmeer. Experimental islands and saltmarsh enclosed plots were created in the back barrier tidal flat and in the saltmarsh zone of the island of Spiekeroog. Meteorological data were collected near the experimental setup, with a locally installed weather station located approximately 500m north of the southern shoreline. The weather station system used here was a ClimaSensor US 4.920x.00.00x that was pre-calibrated by the manufacturer (Adolf Thies GmbH & Co. KG, D-Göttingen). Data were recorded and saved within the Meteo-Online (V4.5.0.20253) software in a sampling interval of 1 min, with an averaging time of 10 s. Date and time were given in UTC and the position was derived from the internal GPS system. Data handling was performed according to Zielinski et al. (2018): Post-processing of collected data was done using MATLAB (R2018a). Quality control was performed by (a) erasing data covering maintenance activities, (b) removing outliers, defined as data exhibiting changes of more than two standard deviations within one time step, and (c) visually checks.
DOI: 10.1594/pangaea.945461
title: Continuous meteorological observations at DynaCom automatic weather station, Spiekeroog, Germany (2021-03)

description: Data presented here were collected within the research unit DynaCom (Spatial community ecology in highly dynamic landscapes: From island biogeography to metaecosystems, https://uol.de/dynacom/ ) of the Universities of Oldenburg, Göttingen, and Münster, the iDiv Leipzig and the Nationalpark Niedersächsisches Wattenmeer. Experimental islands and saltmarsh enclosed plots were created in the back barrier tidal flat and in the saltmarsh zone of the island of Spiekeroog. Meteorological data were collected near the experimental setup, with a locally installed weather station located approximately 500m north of the southern shoreline. The weather station system used here was a ClimaSensor US 4.920x.00.00x that was pre-calibrated by the manufacturer (Adolf Thies GmbH & Co. KG, D-Göttingen). Data were recorded and saved within the Meteo-Online (V4.5.0.20253) software in a sampling interval of 1 min, with an averaging time of 10 s. Date and time were given in UTC and the position was derived from the internal GPS system. Data handling was performed according to Zielinski et al. (2018): Post-processing of collected data was done using MATLAB (R2018a). Quality control was performed by (a) erasing data covering maintenance activities, (b) removing outliers, defined as data exhibiting changes of more than two standard deviations within one time step, and (c) visually checks.
DOI: 10.1594/pangaea.945462
title: Continuous meteorological observations at DynaCom automatic weather station, Spiekeroog, Germany (2021-04)

description: Data presented here were collected within the research unit DynaCom (Spatial community ecology in highly dynamic landscapes: From island biogeography to metaecosystems, https://uol.de/dynacom/ ) of the Universities of Oldenburg, Göttingen, and Münster, the iDiv Leipzig and the Nationalpark Niedersächsisches Wattenmeer. Experimental islands and saltmarsh enclosed plots were created in the back barrier tidal flat and in the saltmarsh zone of the island of Spiekeroog. Meteorological data were collected near the experimental setup, with a locally installed weather station located approximately 500m north of the southern shoreline. The weather station system used here was a ClimaSensor US 4.920x.00.00x that was pre-calibrated by the manufacturer (Adolf Thies GmbH & Co. KG, D-Göttingen). Data were recorded and saved within the Meteo-Online (V4.5.0.20253) software in a sampling interval of 1 min, with an averaging time of 10 s. Date and time were given in UTC and the position was derived from the internal GPS system. Data handling was performed according to Zielinski et al. (2018): Post-processing of collected data was done using MATLAB (R2018a). Quality control was performed by (a) erasing data covering maintenance activities, (b) removing outliers, defined as data exhibiting changes of more than two standard deviations within one time step, and (c) visually checks.
DOI: 10.1594/pangaea.945463
title: Continuous meteorological observations at DynaCom automatic weather station, Spiekeroog, Germany (2021-05)

description: Data presented here were collected within the research unit DynaCom (Spatial community ecology in highly dynamic landscapes: From island biogeography to metaecosystems, https://uol.de/dynacom/ ) of the Universities of Oldenburg, Göttingen, and Münster, the iDiv Leipzig and the Nationalpark Niedersächsisches Wattenmeer. Experimental islands and saltmarsh enclosed plots were created in the back barrier tidal flat and in the saltmarsh zone of the island of Spiekeroog. Meteorological data were collected near the experimental setup, with a locally installed weather station located approximately 500m north of the southern shoreline. The weather station system used here was a ClimaSensor US 4.920x.00.00x that was pre-calibrated by the manufacturer (Adolf Thies GmbH & Co. KG, D-Göttingen). Data were recorded and saved within the Meteo-Online (V4.5.0.20253) software in a sampling interval of 1 min, with an averaging time of 10 s. Date and time were given in UTC and the position was derived from the internal GPS system. Data handling was performed according to Zielinski et al. (2018): Post-processing of collected data was done using MATLAB (R2018a). Quality control was performed by (a) erasing data covering maintenance activities, (b) removing outliers, defined as data exhibiting changes of more than two standard deviations within one time step, and (c) visually checks.
DOI: 10.1594/pangaea.945464
title: Continuous meteorological observations at DynaCom automatic weather station, Spiekeroog, Germany (2021-06)

description: Data presented here were collected within the research unit DynaCom (Spatial community ecology in highly dynamic landscapes: From island biogeography to metaecosystems, https://uol.de/dynacom/ ) of the Universities of Oldenburg, Göttingen, and Münster, the iDiv Leipzig and the Nationalpark Niedersächsisches Wattenmeer. Experimental islands and saltmarsh enclosed plots were created in the back barrier tidal flat and in the saltmarsh zone of the island of Spiekeroog. Meteorological data were collected near the experimental setup, with a locally installed weather station located approximately 500m north of the southern shoreline. The weather station system used here was a ClimaSensor US 4.920x.00.00x that was pre-calibrated by the manufacturer (Adolf Thies GmbH & Co. KG, D-Göttingen). Data were recorded and saved within the Meteo-Online (V4.5.0.20253) software in a sampling interval of 1 min, with an averaging time of 10 s. Date and time were given in UTC and the position was derived from the internal GPS system. Data handling was performed according to Zielinski et al. (2018): Post-processing of collected data was done using MATLAB (R2018a). Quality control was performed by (a) erasing data covering maintenance activities, (b) removing outliers, defined as data exhibiting changes of more than two standard deviations within one time step, and (c) visually checks.
DOI: 10.15468/dl.qwhrb5
title: Occurrence Download

description: A dataset containing 48335 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Pinus radiata D.Don)"
 ]
}

 The dataset includes 48335 records from 335 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014472-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.945465
title: Continuous meteorological observations at DynaCom automatic weather station, Spiekeroog, Germany (2021-07)

description: Data presented here were collected within the research unit DynaCom (Spatial community ecology in highly dynamic landscapes: From island biogeography to metaecosystems, https://uol.de/dynacom/ ) of the Universities of Oldenburg, Göttingen, and Münster, the iDiv Leipzig and the Nationalpark Niedersächsisches Wattenmeer. Experimental islands and saltmarsh enclosed plots were created in the back barrier tidal flat and in the saltmarsh zone of the island of Spiekeroog. Meteorological data were collected near the experimental setup, with a locally installed weather station located approximately 500m north of the southern shoreline. The weather station system used here was a ClimaSensor US 4.920x.00.00x that was pre-calibrated by the manufacturer (Adolf Thies GmbH & Co. KG, D-Göttingen). Data were recorded and saved within the Meteo-Online (V4.5.0.20253) software in a sampling interval of 1 min, with an averaging time of 10 s. Date and time were given in UTC and the position was derived from the internal GPS system. Data handling was performed according to Zielinski et al. (2018): Post-processing of collected data was done using MATLAB (R2018a). Quality control was performed by (a) erasing data covering maintenance activities, (b) removing outliers, defined as data exhibiting changes of more than two standard deviations within one time step, and (c) visually checks.
DOI: 10.1594/pangaea.945466
title: Continuous meteorological observations at DynaCom automatic weather station, Spiekeroog, Germany (2021-08)

description: Data presented here were collected within the research unit DynaCom (Spatial community ecology in highly dynamic landscapes: From island biogeography to metaecosystems, https://uol.de/dynacom/ ) of the Universities of Oldenburg, Göttingen, and Münster, the iDiv Leipzig and the Nationalpark Niedersächsisches Wattenmeer. Experimental islands and saltmarsh enclosed plots were created in the back barrier tidal flat and in the saltmarsh zone of the island of Spiekeroog. Meteorological data were collected near the experimental setup, with a locally installed weather station located approximately 500m north of the southern shoreline. The weather station system used here was a ClimaSensor US 4.920x.00.00x that was pre-calibrated by the manufacturer (Adolf Thies GmbH & Co. KG, D-Göttingen). Data were recorded and saved within the Meteo-Online (V4.5.0.20253) software in a sampling interval of 1 min, with an averaging time of 10 s. Date and time were given in UTC and the position was derived from the internal GPS system. Data handling was performed according to Zielinski et al. (2018): Post-processing of collected data was done using MATLAB (R2018a). Quality control was performed by (a) erasing data covering maintenance activities, (b) removing outliers, defined as data exhibiting changes of more than two standard deviations within one time step, and (c) visually checks.
DOI: 10.1594/pangaea.945467
title: Continuous meteorological observations at DynaCom automatic weather station, Spiekeroog, Germany (2021-09)

description: Data presented here were collected within the research unit DynaCom (Spatial community ecology in highly dynamic landscapes: From island biogeography to metaecosystems, https://uol.de/dynacom/ ) of the Universities of Oldenburg, Göttingen, and Münster, the iDiv Leipzig and the Nationalpark Niedersächsisches Wattenmeer. Experimental islands and saltmarsh enclosed plots were created in the back barrier tidal flat and in the saltmarsh zone of the island of Spiekeroog. Meteorological data were collected near the experimental setup, with a locally installed weather station located approximately 500m north of the southern shoreline. The weather station system used here was a ClimaSensor US 4.920x.00.00x that was pre-calibrated by the manufacturer (Adolf Thies GmbH & Co. KG, D-Göttingen). Data were recorded and saved within the Meteo-Online (V4.5.0.20253) software in a sampling interval of 1 min, with an averaging time of 10 s. Date and time were given in UTC and the position was derived from the internal GPS system. Data handling was performed according to Zielinski et al. (2018): Post-processing of collected data was done using MATLAB (R2018a). Quality control was performed by (a) erasing data covering maintenance activities, (b) removing outliers, defined as data exhibiting changes of more than two standard deviations within one time step, and (c) visually checks.
DOI: 10.1594/pangaea.945468
title: Continuous meteorological observations at DynaCom automatic weather station, Spiekeroog, Germany (2021-10)

description: Data presented here were collected within the research unit DynaCom (Spatial community ecology in highly dynamic landscapes: From island biogeography to metaecosystems, https://uol.de/dynacom/ ) of the Universities of Oldenburg, Göttingen, and Münster, the iDiv Leipzig and the Nationalpark Niedersächsisches Wattenmeer. Experimental islands and saltmarsh enclosed plots were created in the back barrier tidal flat and in the saltmarsh zone of the island of Spiekeroog. Meteorological data were collected near the experimental setup, with a locally installed weather station located approximately 500m north of the southern shoreline. The weather station system used here was a ClimaSensor US 4.920x.00.00x that was pre-calibrated by the manufacturer (Adolf Thies GmbH & Co. KG, D-Göttingen). Data were recorded and saved within the Meteo-Online (V4.5.0.20253) software in a sampling interval of 1 min, with an averaging time of 10 s. Date and time were given in UTC and the position was derived from the internal GPS system. Data handling was performed according to Zielinski et al. (2018): Post-processing of collected data was done using MATLAB (R2018a). Quality control was performed by (a) erasing data covering maintenance activities, (b) removing outliers, defined as data exhibiting changes of more than two standard deviations within one time step, and (c) visually checks.
DOI: 10.1594/pangaea.945469
title: Continuous meteorological observations at DynaCom automatic weather station, Spiekeroog, Germany (2021-11)

description: Data presented here were collected within the research unit DynaCom (Spatial community ecology in highly dynamic landscapes: From island biogeography to metaecosystems, https://uol.de/dynacom/ ) of the Universities of Oldenburg, Göttingen, and Münster, the iDiv Leipzig and the Nationalpark Niedersächsisches Wattenmeer. Experimental islands and saltmarsh enclosed plots were created in the back barrier tidal flat and in the saltmarsh zone of the island of Spiekeroog. Meteorological data were collected near the experimental setup, with a locally installed weather station located approximately 500m north of the southern shoreline. The weather station system used here was a ClimaSensor US 4.920x.00.00x that was pre-calibrated by the manufacturer (Adolf Thies GmbH & Co. KG, D-Göttingen). Data were recorded and saved within the Meteo-Online (V4.5.0.20253) software in a sampling interval of 1 min, with an averaging time of 10 s. Date and time were given in UTC and the position was derived from the internal GPS system. Data handling was performed according to Zielinski et al. (2018): Post-processing of collected data was done using MATLAB (R2018a). Quality control was performed by (a) erasing data covering maintenance activities, (b) removing outliers, defined as data exhibiting changes of more than two standard deviations within one time step, and (c) visually checks.
DOI: 10.1594/pangaea.945470
title: Continuous meteorological observations at DynaCom automatic weather station, Spiekeroog, Germany (2021-12)

description: Data presented here were collected within the research unit DynaCom (Spatial community ecology in highly dynamic landscapes: From island biogeography to metaecosystems, https://uol.de/dynacom/ ) of the Universities of Oldenburg, Göttingen, and Münster, the iDiv Leipzig and the Nationalpark Niedersächsisches Wattenmeer. Experimental islands and saltmarsh enclosed plots were created in the back barrier tidal flat and in the saltmarsh zone of the island of Spiekeroog. Meteorological data were collected near the experimental setup, with a locally installed weather station located approximately 500m north of the southern shoreline. The weather station system used here was a ClimaSensor US 4.920x.00.00x that was pre-calibrated by the manufacturer (Adolf Thies GmbH & Co. KG, D-Göttingen). Data were recorded and saved within the Meteo-Online (V4.5.0.20253) software in a sampling interval of 1 min, with an averaging time of 10 s. Date and time were given in UTC and the position was derived from the internal GPS system. Data handling was performed according to Zielinski et al. (2018): Post-processing of collected data was done using MATLAB (R2018a). Quality control was performed by (a) erasing data covering maintenance activities, (b) removing outliers, defined as data exhibiting changes of more than two standard deviations within one time step, and (c) visually checks.
DOI: 10.1594/pangaea.947024
title: Stationary echosounder (EK60, Simrad, 38 & 200 kHz) recordings from the central Red Sea near Thuwal, Saudi Arabia, between January 2014 and February 2016

description: Simrad EK60 echosounders (38 and 200 kHz) were deployed in the central Red Sea during several multiple-days periods between January 2014 and February 2016. Records were made in the deepest part of a ~700 m deep basin (22.5°N, 39.03°E) referred to as the Economic City Deep (ECDEEP) and at ~555 m along its sloping edge, and at a nearby 880 m deep station (22.08⁰N, 38.71⁰E). All locations were situated near the King Abdullah University of Science and Technology (KAUST) campus, Saudi Arabia. In the events marked by "bottom-mounted deployment" the echosounders were deployed on the bottom facing the surface. The floating mooring was connected to concrete weights by steel wires ensuring vertical orientation such that the transducers were located ca. 7 m off the bottom. The bottom-mounted deployments continuously recorded the movement and abundance of scattering layers and organisms over depth and time at a time resolution of ~0.5 pings/s. In the events marked by "profile", the echosounders were deployed facing downwards in a profile stopping at different depths for each ca. 15-30 minutes. During the profiles, a tungsten carbide (38.1 mm; theoretical target strength -42.3 dB and -38.9 dB on 38 and 200 kHz, respectively) calibration sphere was attached 10 m or 16 m below the echosounder rig as target strength reference. The dataset contains 12 events with in total 1317 raw proprietary Simrad EK60 data files with file sizes between 0.7 and 168 MB. The raw files include transducer configuration data and sample data (raw power (W) and angles (alongship and athwartship, °)).
description: This research was funded by King Abdullah University of Science and Technology, Saudi Arabia.
DOI: 10.5281/zenodo.11161890
title: STEM and XRD files of Water and Hydroxide Trapping in Cobalt Tungstate for Proton Exchange Membrane Water Electrolysis
DOI: 10.5281/zenodo.11161891
title: STEM and XRD files of Water and Hydroxide Trapping in Cobalt Tungstate for Proton Exchange Membrane Water Electrolysis
DOI: 10.1594/pangaea.962012
title: Geochemistry of sediment core BS_14 from the Bichlersee, Bavarian Alps
DOI: 10.1594/pangaea.967276
title: Ozone measurements from station Lindenberg (2022-07)
DOI: 10.1594/pangaea.967277
title: Meteorological synoptical observations from station Lindenberg (2022-07)
DOI: 10.1594/pangaea.967278
title: Expanded measurements from station Lindenberg (2022-07)

description: 99999: No clouds detected
DOI: 10.1594/pangaea.967281
title: Radiosonde measurements from station Lindenberg (2022-07)

description: *C0006
DOI: 10.1594/pangaea.967282
title: Meteorological synoptical observations from station Lindenberg (2022-08)
DOI: 10.1594/pangaea.967283
title: Ozone measurements from station Lindenberg (2022-08)
DOI: 10.17632/jmc8ty2hhf.2
title: LácteosTech: Transformando la Cadena de Suministro con Tecnología de la Información

description: Recopilación de datos que explora cómo la tecnología de la información (TI) está revolucionando la cadena de suministro en la industria láctea.
DOI: 10.1594/pangaea.967284
title: Expanded measurements from station Lindenberg (2022-08)

description: 99999: No clouds detected
DOI: 10.1594/pangaea.967285
title: Radiosonde measurements from station Lindenberg (2022-08)

description: *C0006
DOI: 10.17632/jmc8ty2hhf.1
title: LácteosTech: Transformando la Cadena de Suministro con Tecnología de la Información

description: Recopilación de datos que explora cómo la tecnología de la información (TI) está revolucionando la cadena de suministro en la industria láctea.
DOI: 10.15468/dl.f7jx7y
title: Occurrence Download

description: A dataset containing 4058594 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is Indonesia"
 ]
}

 The dataset includes 4058594 records from 2328 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014466-240506114902167/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.25609635.v1
title: <b>Appendix to NEM 3689</b>

description: Table S1. GenBank accssion numbers.Table S2. Key morphological characters of corneolus subgroup of hofamanni group in the genus Bursaphelenchus.Table S3. Key morphometric values of males of corneolus subgroup of hofamanni group in the genus Bursaphelenchus.Table S4. Key morphometric values of females of corneolus subgroup of hofamanni group in the genus Bursaphelenchus.Fas file with sequence data.
DOI: 10.15468/dl.r624db
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0208107-210914110416597/datasets/export for details.
DOI: 10.15468/dl.ym723y
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Protected Areas - Global Register of Introduced and Invasive Species - Recif Special Reserve, Seychelles"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0208126-210914110416597/datasets/export for details.
DOI: 10.15468/dl.9nwfu4
title: Occurrence Download

description: A dataset listing the 712 species recorded in GBIF matching the query:
{
 "and" : [
 "GadmGid is TLS.11_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset's 712 records were derived from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016285-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tbqax2
title: Occurrence Download

description: A dataset containing 968 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "DatasetKey is iNaturalist Research-grade Observations",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "InstitutionCode is inaturalist",
 "MediaType is Image",
 "Month is January",
 "PublishingOrg is 28eb1a3f-1c15-4a95-931a-4af90ecb574d",
 "TaxonKey is Canis latrans Say, 1823",
 "Year 2019-2020"
 ]
}

 The dataset includes 968 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068169-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.