cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.cfh5to
title: Occurrence Download

description: A dataset listing the 1877202 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 {
 "or" : [
 "Month is March",
 "Month is February",
 "Month is January",
 "Month is April",
 "Month is May"
 ]
 },
 "Year 1950-2019",
 "DatasetKey is iNaturalist Research-grade Observations",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset's 1877202 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001598-190320150433242/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc111139882
title: Royal Funerary Text

description: [Text Description:] Kispum-ritual or funeral litergy for king of Ugarit ❧ [Text or Publication Number Note:] KTU 1.161; CAT 1.161; KTU2 1.161; CTU 1.161; RS 34.126 ❧ [Excavation Description:] Excavations at Ras Shamra 1973. Found in rubbish dump, excavated by Claude F.-A. Schaeffer, Mission Archeologique Francaise. ❧ [Medium:] Clay ❧ [Script Note:] Alphabetic Cuneiform ❧ [Physical Object Description:] Clay tablet, 13.5 cm. x 10.9 cm.
DOI: 10.5281/zenodo.11413118
title: Bioinformatics for public health microbiologists: Module 1 dataset (South African Salmonella)

description: Module 1 (WGS) dataset (paired-end Illumina reads of Salmonella enterica strains isolated from animals and animal products in South Africa)





module1_dataset_ZAsalmonella.tar.gz: raw Illumina paired-end reads




trimmed_reads.tar.gz: trimmed Illumina paired-end reads (i.e., trimmed via fastp v0.23.4)




contigs.tar.gz: assembled genomes (i.e., trimmed reads assembled into contigs using SKESA v2.5.1)




prokka.tar.gz: whole-genome annotation results (i.e., produced via Prokka v1.14.6)




enterobase_salmonella.tar.gz: publicly available assembled genomes (downloaded via Enterobase; https://enterobase.warwick.ac.uk/, accessed 1 June 2024)




snippy_input.tsv: input file used for Snippy (https://github.com/tseemann/snippy)
DOI: 10.25549/inscriptifact-ouc111139880
title: Myth concerning Mot

description: [Text Description:] Scribal exercise resembling part of KTU 1.5 I ❧ [Text or Publication Number Note:] KTU 1.133; CAT 1.133; KTU2 1.133; CTU 1.133; RS 24.293 ❧ [Excavation Description:] Excavations at Ras Shamra 1961. Found in South Acropolis, Tablet Chamber, p.t. 3745 at .75 m, excavated by Claude F.-A. Schaeffer, Mission Archeologique Francaise. ❧ [Medium:] Clay ❧ [Script Note:] Alphabetic Cuneiform ❧ [Physical Object Description:] Clay tablet, 6.9 cm. X 5.3 cm.
DOI: 10.5281/zenodo.10968212
title: Bioinformatics for public health microbiologists: Module 1 dataset (South African Salmonella)

description: Module 1 (WGS) dataset (paired-end Illumina reads of Salmonella enterica strains isolated from animals and animal products in South Africa)





module1_dataset_ZAsalmonella.tar.gz: raw Illumina paired-end reads




trimmed_reads.tar.gz: trimmed Illumina paired-end reads (i.e., trimmed via fastp v0.23.4)




contigs.tar.gz: assembled genomes (i.e., trimmed reads assembled into contigs using SKESA v2.5.1)




prokka.tar.gz: whole-genome annotation results (i.e., produced via Prokka v1.14.6)
DOI: 10.15468/dl.ciaodc
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lampayo hieronymi K.Schum. ex Moldenke"
 ]
}

 The dataset includes 17 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001598-190415153152247/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc111139807
title: Royal Funerary Text

description: [Text Description:] Kispum-ritual or funeral litergy for king of Ugarit ❧ [Text or Publication Number Note:] KTU 1.161; CAT 1.161; KTU2 1.161; CTU 1.161; RS 34.126 ❧ [Excavation Description:] Excavations at Ras Shamra 1973. Found in rubbish dump, excavated by Claude F.-A. Schaeffer, Mission Archeologique Francaise. ❧ [Medium:] Clay ❧ [Script Note:] Alphabetic Cuneiform ❧ [Physical Object Description:] Clay tablet, 13.5 cm. x 10.9 cm.
DOI: 10.5281/zenodo.10894042
title: Bioinformatics for public health microbiologists: Module 1 dataset (South African Salmonella)

description: Module 1 (WGS) dataset (paired-end Illumina reads of Salmonella enterica strains isolated from animals and animal products in South Africa)





module1_dataset_ZAsalmonella.tar.gz: raw Illumina paired-end reads




trimmed_reads.tar.gz: trimmed Illumina paired-end reads (i.e., trimmed via fastp)
DOI: 10.25549/inscriptifact-ouc111139806
title: Royal Funerary Text

description: [Text Description:] Kispum-ritual or funeral litergy for king of Ugarit ❧ [Text or Publication Number Note:] KTU 1.161; CAT 1.161; KTU2 1.161; CTU 1.161; RS 34.126 ❧ [Excavation Description:] Excavations at Ras Shamra 1973. Found in rubbish dump, excavated by Claude F.-A. Schaeffer, Mission Archeologique Francaise. ❧ [Medium:] Clay ❧ [Script Note:] Alphabetic Cuneiform ❧ [Physical Object Description:] Clay tablet, 13.5 cm. x 10.9 cm.
DOI: 10.15468/dl.rardgh
title: Occurrence Download

description: A dataset listing the 325030 species recorded in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Vulpes vulpes (Linnaeus, 1758)",
 "HasGeospatialIssue is false"
 ]
}

 The dataset's 325030 records were derived from 492 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001598-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.945096
title: Basic measurements of radiation at station Abashiri (2022-02)
DOI: 10.1594/pangaea.932726
title: Basic measurements of radiation at station Abashiri (2021-03)
DOI: 10.1594/pangaea.966789
title: Respiration rates of the cold-water coral Dentomuricea aff. meteor during a land-based experiment testing the cumulative effect of Cu exposure and ocean acidification

description: We report the results of a land-based experiment testing the cumulative effects of copper (Cu) exposure and ocean acidification (OA). Corals were obtained as by-catch during experimental long-line fisheries campaigns on board R/V "Arquipélago" (ARQDAÇO monitoring program, University of the Azores) at Baixa de São Mateus at 185 m depth in April 2019. The experiment was undertaken at the DeepSeaLab aquaria facilities (Okeanos-University of the Azores) where corals were exposed to four OA/Cu-contamination scenarios: (1) ambient pCO2/pH level as measured in situ conditions (385 μatm/ pH 8.09); (2) high pCO2/reduced pH (IPCC RCP8.5 scenario, 1000 μatm/ pH 7.73); (3) ambient pCO2/pH level and additional Cu concentration (60 µg/l); (4) high pCO2/reduced pH and additional Cu concentration (60 µg/l). The pH/pCO2 modification was achieved by bubbling seawater with either pure CO2 (to increase pCO2) or CO2 low air (to decrease pCO2). The copper concentration used in this experiment followed a trial simulating a polymetallic particles plume release during a potential deep-sea mining event. This sublethal concentration was found to be the highest copper concentration dissolved in seawater.Measurements of respiration were made immediately before the start of the experiment (T0) and after 9 days (T9, end of the experiment), when corals started to show tissue necrosis, using an oxygen meter Fibox4 with a PSt3 sensor (PreSens, Germany). Coral respiration rates were normalized to the coral surface area.
description: Species: octocoral Dentomuricea aff. meteor1. Experimental treatmentsTreatments8.1 + [0]: ambient pH plus no copper addition8.1 + [60]: ambient pH plus Cu concentration of 60 μg/l7.7 + [0]: low pH plus no copper addition7.7 + [60]: low pH plus Cu concentration of 60 μg/lExperiment duration: 9 days
DOI: 10.1594/pangaea.966791
title: Aquarium monitoring during a land-based experiment testing the cumulative effect of Cu exposure and ocean acidification on cold-water coral Dentomuricea aff. meteor

description: We report the results of a land-based experiment testing the cumulative effects of copper (Cu) exposure and ocean acidification (OA). Corals were obtained as by-catch during experimental long-line fisheries campaigns on board R/V "Arquipélago" (ARQDAÇO monitoring program, University of the Azores) at Baixa de São Mateus at 185 m depth in April 2019. The experiment was undertaken at the DeepSeaLab aquaria facilities (Okeanos-University of the Azores) where corals were exposed to four OA/Cu-contamination scenarios: (1) ambient pCO2/pH level as measured in situ conditions (385 μatm/ pH 8.09); (2) high pCO2/reduced pH (IPCC RCP8.5 scenario, 1000 μatm/ pH 7.73); (3) ambient pCO2/pH level and additional Cu concentration (60 µg/l); (4) high pCO2/reduced pH and additional Cu concentration (60 µg/l). The pH/pCO2 modification was achieved by bubbling seawater with either pure CO2 (to increase pCO2) or CO2 low air (to decrease pCO2). The copper concentration used in this experiment followed a trial simulating a polymetallic particles plume release during a potential deep-sea mining event. This sublethal concentration was found to be the highest copper concentration dissolved in seawater.Seawater physical-chemical parameters were measured daily in each chamber. Temperature, pH and oxygen saturation were measured manually in each aquaria every day using a Mettler-Toledo S8 glass and a Fibox4 (PreSens) with an Oxygen Probe PSt3.
description: Species: octocoral Dentomuricea aff. meteor1. Experimental treatmentsTreatments8.1 + [0]: ambient pH plus no copper addition8.1 + [60]: ambient pH plus Cu concentration of 60 μg/l7.7 + [0]: low pH plus no copper addition7.7 + [60]: low pH plus Cu concentration of 60 μg/lExperiment duration: 9 days
DOI: 10.1594/pangaea.964624
title: Basic measurements of radiation at station Abashiri (2023-07)
DOI: 10.1594/pangaea.964630
title: Basic measurements of radiation at station Abashiri (2023-09)
DOI: 10.1594/pangaea.968498
title: Meteorological observations at Bayelva Station in 2023 (level 1)

description: Understanding permafrost processes and changes requires long-term observational datasets. This dataset is a continuation of the dataset available from the Bayelva Site at Ny-Ålesund, Svalbard, where meteorology, energy balance components and subsurface observations have been made for more than the last 20 years. The data provide observations of temporally variable parameters that mitigate energy fluxes between permafrost and atmosphere, such as snow depth, snow dielectric number, snow temperature, liquid precipitation, air temperature, relative humidity, wind speed and direction and radiation fluxes. They are suitable for use in integrating, calibrating and testing permafrost as a component in Earth System Models. The resulting quality-controlled dataset is unique in the Arctic and serves as a baseline for future studies.
description: This dataset of 2023 is a continuation of a data record, which was published in Boike et al. (2018), doi:10.5194/essd-10-355-2018. If you use this dataset, please cite this publication.
DOI: 10.1594/pangaea.881830
title: Meteorological observations at Bayelva Station in 2013 (level 1)
DOI: 10.1594/pangaea.968502
title: Soil data at station Bayelva (2023, level 1)

description: Understanding permafrost processes and changes requires long-term observational datasets. This dataset is a continuation of the dataset available from the Bayelva Site at Ny-Ålesund, Svalbard, where meteorology, energy balance components and subsurface observations have been made for more than the last 20 years. The data provide observations of temporally variable parameters that mitigate energy fluxes between permafrost and the atmosphere, such as active layer and permafrost temperature, soil volumetric water content and soil bulk electrical conductivity. They are suitable for use in integrating, calibrating and testing permafrost as a component in Earth System Models. The resulting quality-controlled dataset is unique in the Arctic and serves as a baseline for future studies.
description: This dataset of 2023 is a continuation of a data record, which was published in Boike et al. (2018), doi:10.5194/essd-10-355-2018. If you use this dataset, please cite this publication.
DOI: 10.1594/pangaea.934648
title: Basic measurements of radiation at station Abashiri (2021-05)
DOI: 10.1594/pangaea.927403
title: Meteorological observations at Bayelva Station in 2019 (level 1)

description: Understanding permafrost processes and changes requires long-term observational datasets. This dataset is a continuation of the dataset available from the Bayelva Site at Ny-Ålesund, Svalbard, where meteorology, energy balance components and subsurface observations have been made for the last 20 years. The data provide observations of temporally variable parameters that mitigate energy fluxes between permafrost and atmosphere, such as snow depth, snow dielectric number, snow temperature, liquid precipitation, air temperature, relative humidity, wind speed and direction and radiation fluxes. They are suitable for use in integrating, calibrating and testing permafrost as a component in Earth System Models. The resulting quality-controlled dataset is unique in the Arctic and serves as a baseline for future studies.
description: This dataset of 2019 is a continuation of a data record, which was published in Boike et al. (2018), doi:10.5194/essd-10-355-2018. If you use this dataset, please cite this publication.
DOI: 10.1594/pangaea.968819
title: Basic measurements of radiation at station Abashiri (2023-11)
DOI: 10.1594/pangaea.968814
title: Basic measurements of radiation at station Abashiri (2023-12)
DOI: 10.1594/pangaea.968820
title: Basic measurements of radiation at station Abashiri (2023-10)
DOI: 10.1594/pangaea.968823
title: Basic measurements of radiation at station Abashiri (2024-01)
DOI: 10.1594/pangaea.968834
title: Basic measurements of radiation at station Abashiri (2024-02)
DOI: 10.1594/pangaea.968837
title: Basic measurements of radiation at station Abashiri (2024-03)
DOI: 10.1594/pangaea.945099
title: Basic measurements of radiation at station Abashiri (2022-03)
DOI: 10.1594/pangaea.972449
title: Basic measurements of radiation at station Abashiri (2024-07)
DOI: 10.1594/pangaea.954795
title: Basic measurements of radiation at station Abashiri (2022-09)
DOI: 10.1594/pangaea.972444
title: Basic measurements of radiation at station Abashiri (2024-06)
DOI: 10.1594/pangaea.972448
title: Basic measurements of radiation at station Abashiri (2024-04)
DOI: 10.1594/pangaea.892372
title: Calm data at station Samoylov (2002-2018, level 1, version 1), link to archive

description: This is an outdated version of the data, please use and cite this data instead: https://doi.pangaea.de/10.1594/PANGAEA.905229
DOI: 10.1594/pangaea.972450
title: Basic measurements of radiation at station Abashiri (2024-05)
DOI: 10.1594/pangaea.891157
title: TLS measurements at Samoylov in 2017, link to pointsclouds and DEM

description: This dataset contains a point cloud, a digital terrain model (DTM), relative vegetation heights and the GNSS positions, derived from a terrestrial laser scanning (TLS) around the installed instruments of the related publication and dataset from 12 September 2017.
DOI: 10.1594/pangaea.891140
title: Soil data at station Samoylov (2002-2018, level 1, version 1), link to archive

description: This is an outdated version of the data, please use and cite this data instead: https://doi.pangaea.de/10.1594/PANGAEA.905233
DOI: 10.1594/pangaea.905234
title: Soil data at station Samoylov (2002-2018, level 2, version 201908), link to archive

description: This is an updated version of this data: https://doi.pangaea.de/10.1594/PANGAEA.891141, please use and cite the updated version!
DOI: 10.1594/pangaea.956321
title: Basic measurements of radiation at station Abashiri (2022-10)
DOI: 10.1594/pangaea.891129
title: Time lapse camera pictures at Samoylov, LTO, 2002-2017

description: This dataset contains time lapse pictures for the periode from 2006 to 2018, which shows the land surface in the area around the installed instruments of the related publication and datasets.
description: Supplement to: Boike, Julia; Nitzbon, Jan; Anders, Katharina; Grigoriev, Mikhail N; Bolshiyanov, Dimitry Yu; Langer, Moritz; Lange, Stephan; Bornemann, Niko; Morgenstern, Anne; Schreiber, Peter; Wille, Christian; Chadburn, Sarah; Gouttevin, Isabelle; Burke, Eleanor J; Kutzbach, Lars (2019): A 16-year record (2002–2017) of permafrost, active-layer, and meteorological conditions at the Samoylov Island Arctic permafrost research site, Lena River delta, northern Siberia: an opportunity to validate remote-sensing data and land surface, snow, and permafrost models. Earth System Science Data, 11(1), 261-299
DOI: 10.1594/pangaea.973450
title: Basic measurements of radiation at station Abashiri (2024-09)
DOI: 10.1594/pangaea.973453
title: Basic measurements of radiation at station Abashiri (2024-08)
DOI: 10.1594/pangaea.956325
title: Basic measurements of radiation at station Abashiri (2022-11)
DOI: 10.15468/dl.n8mwm9
title: Occurrence Download

description: A dataset containing 160 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-81.32581 -9.11270,74.32581 -9.11270,74.32581 53.11270,-81.32581 53.11270,-81.32581 -9.11270))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Felimare bilineata (Pruvot-Fol, 1953)"
 ]
}

 The dataset includes 160 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000232-250225214225278/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.956328
title: Basic measurements of radiation at station Abashiri (2022-12)
DOI: 10.1594/pangaea.948950
title: Meteorological observations at Bayelva Station in 2021 (level 1)

description: Understanding permafrost processes and changes requires long-term observational datasets. This dataset is a continuation of the dataset available from the Bayelva Site at Ny-Ålesund, Svalbard, where meteorology, energy balance components and subsurface observations have been made for more than the last 20 years. The data provide observations of temporally variable parameters that mitigate energy fluxes between permafrost and atmosphere, such as snow depth, snow dielectric number, snow temperature, liquid precipitation, air temperature, relative humidity, wind speed and direction and radiation fluxes. They are suitable for use in integrating, calibrating and testing permafrost as a component in Earth System Models. The resulting quality-controlled dataset is unique in the Arctic and serves as a baseline for future studies.
description: This dataset of 2021 is a continuation of a data record, which was published in Boike et al. (2018), doi:10.5194/essd-10-355-2018. If you use this dataset, please cite this publication.
DOI: 10.1594/pangaea.949047
title: Soil data at station Bayelva (2021, level 1)

description: Understanding permafrost processes and changes requires long-term observational datasets. This dataset is a continuation of the dataset available from the Bayelva Site at Ny-Ålesund, Svalbard, where meteorology, energy balance components and subsurface observations have been made for more than the last 20 years. The data provide observations of temporally variable parameters that mitigate energy fluxes between permafrost and the atmosphere, such as active layer and permafrost temperature, soil volumetric water content and soil bulk electrical conductivity. They are suitable for use in integrating, calibrating and testing permafrost as a component in Earth System Models. The resulting quality-controlled dataset is unique in the Arctic and serves as a baseline for future studies.
description: This dataset of 2021 is a continuation of a data record, which was published in Boike et al. (2018), doi:10.5194/essd-10-355-2018. If you use this dataset, please cite this publication.
DOI: 10.1594/pangaea.973943
title: Basic measurements of radiation at station Abashiri (2024-10)
DOI: 10.1594/pangaea.880077
title: Snow height at Bayelva Station in 2006 (level 2)
DOI: 10.1594/pangaea.928928
title: Soil data at station Bayelva (2019, level 1)

description: Understanding permafrost processes and changes requires long-term observational datasets. This dataset is a continuation of the dataset available from the Bayelva Site at Ny-Ålesund, Svalbard, where meteorology, energy balance components and subsurface observations have been made for the last 20 years. The data provide observations of temporally variable parameters that mitigate energy fluxes between permafrost and the atmosphere, such as active layer and permafrost temperature, soil volumetric water content and soil bulk electrical conductivity. They are suitable for use in integrating, calibrating and testing permafrost as a component in Earth System Models. The resulting quality-controlled dataset is unique in the Arctic and serves as a baseline for future studies.
DOI: 10.1594/pangaea.957363
title: Basic measurements of radiation at station Abashiri (2023-01)
DOI: 10.1594/pangaea.846588
title: Snow melt monitoring at Bayelva Station, near Ny-Ålesund, Svalbard, in 2014, links to images

description: Bayelva Soil and Climate Station. Looking S over the station towards Austre Brøggerbreen and Zeppelinfjellet. The images feature the snow depth measured at the Bayelva climate station using a sonic ranging sensor in the lower left corner. Daily images May-July 2014, different times of the day depending on fog cloudiness.
DOI: 10.1594/pangaea.881820
title: Meteorological observations at Bayelva Station in 2003 (level 1)
DOI: 10.1594/pangaea.949198
title: Soil data at station Samoylov (2020)

description: Understanding permafrost processes and changes requires long-term observational datasets. This dataset is a continuation of the dataset available from the long-term observational site Samoylov, located in the Lena River Delta, Siberia (72.37°N, 126.48°E). The location is characterized by a cold, dry tundra climate with mean annual air temperature of -11.7°C (using years with complete data between 1998 and 2017). The monthly mean temperatures over this period varied between 9.4°C in the warmest month (July) and -31.7°C in the coldest month (February). The average summer rainfall (June-October) was 145.2 mm. This dataset adds recent years to the observations of meteorological parameters, energy balance, and subsurface observations which have been recorded since 1998. The instrumentation, calibration, processing and data quality control is explained in Boike et al. (2019). The data provide observations of temporally variable parameters that mitigate energy fluxes between permafrost and atmosphere, such as ground heat flux, active layer and permafrost temperature, soil volumetric water content, relative permittivity, and soil bulk electrical conductivity. Those variables were measured at various depths and beneath different microtopographic features (a polygon center, a rim, a slope, and a trough), representing landscape heterogeneity. The observations are suitable for use in integrating, calibrating and testing permafrost as a component in Earth System Models. The resulting quality-controlled dataset is unique in the Arctic and serves as a baseline for future studies.
DOI: 10.1594/pangaea.880090
title: Soil temperature and volumetric soil moisture at Bayelva Station in 1999 (level 2)
DOI: 10.1594/pangaea.880074
title: Snow height at Bayelva Station in 2003 (level 2)
DOI: 10.1594/pangaea.880106
title: Soil temperature and volumetric soil moisture at Bayelva Station in 2014 (level 2)
DOI: 10.1594/pangaea.942861
title: Basic measurements of radiation at station Abashiri (2021-11)
DOI: 10.1594/pangaea.942864
title: Basic measurements of radiation at station Abashiri (2021-12)