Occurrence Download
A dataset containing 321 species occurrences available in GBIF matching the query: { "TaxonKey" : [ "is Orientia tsutsugamushi A" ] } The dataset includes 321 records from 49 constituent datasets: 1 records from marine metagenome. 7 records from Comparative 16S analysis of hydrot...
Main Author: | |
---|---|
Format: | Dataset |
Language: | unknown |
Published: |
The Global Biodiversity Information Facility
2021
|
Subjects: | |
Online Access: | https://dx.doi.org/10.15468/dl.dbvx67 https://www.gbif.org/occurrence/download/0325076-200613084148143 |
id |
ftdatacite:10.15468/dl.dbvx67 |
---|---|
record_format |
openpolar |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
unknown |
topic |
GBIF biodiversity species occurrences |
spellingShingle |
GBIF biodiversity species occurrences Occdownload Gbif.Org Occurrence Download |
topic_facet |
GBIF biodiversity species occurrences |
description |
A dataset containing 321 species occurrences available in GBIF matching the query: { "TaxonKey" : [ "is Orientia tsutsugamushi A" ] } The dataset includes 321 records from 49 constituent datasets: 1 records from marine metagenome. 7 records from Comparative 16S analysis of hydrothermal vent samples from the Mid-Atlantic Ridge (MAR). 7 records from Oil-water intephase microbial community analysis Raw sequence reads. 1 records from Microbial community in marine sediments. 6 records from Oceanic microplankton do not adhere to the latitudinal diversity gradient. 13 records from Response of soil bacteria to anthropogenic soil variables at large spatial scales. 19 records from marine metagenome Metagenome. 1 records from A practical introduction to microbial molecular ecology through the use of iChips. 4 records from marine metagenome Metagenome. 7 records from Nahant Collection. 1 records from DSMZ Bacteria. 2 records from photoautotrophic_biofilm. 2 records from Soil microbial distribution. 1 records from Depth profile of ancient sediments. 1 records from aquatic bacterial metagenome Raw sequence reads. 11 records from Who eats the tough stuff DNA stable isotope probing (SIP) of bacteria and fungi degrading 13C-labelled lignin and cellulose in forest soils. 47 records from Geographically tagged INSDC sequences. 1 records from Coral. 1 records from Amino acid addition experiment Metagenome. 3 records from Microbial diversity in the Tongyeong-Geoje coastal area of Korea2. 13 records from Marine metagenomes Metagenome. 7 records from Nuunat- ORMS formation during oil biodegradation at low temperature. 2 records from Microbial ecology of bacteiral community in sediment from adjacent waters of Rushan Bay. 2 records from Microbial diversity in the Tongyeong-Geoje coastal area of Korea. 21 records from Bacteria exposure experiment North Sea. 1 records from 16S rRNA metagenomic investigation of arsenotrophic bacteriome of ground water and soil from arsenic-prone area of Bangladesh. 1 records from Microbial Processes and Biodiversity: OCEAN. 1 records from marine sediment metagenome Raw sequence reads. 14 records from Soil marker gene sequences across the Nutrient Network. 38 records from Microbial community structure is affected by cropping sequences and bio-covers under long-term no-tillage. 3 records from MeHg Coal Ash. 1 records from Metagenome from mudbank Area,Alappuzha Kerala India. 2 records from 16S rRNA Analysis of Osaka Bay Microbiomes. 5 records from Chandeleur Island 2016 Amplicon Study Raw sequence reads. 1 records from Analysis of plasmidome of high-altitude lakes from the Andean Puna. 1 records from Microbial diversity of marine sediments. 1 records from Marine sediment metagenome. 1 records from Controls on microalgal community structures in cryoconite holes upon high Arctic glaciers, Svalbard. 6 records from Sediment Metagenome Raw sequence reads. 1 records from Effects of organic matter manipulation on archaeal, bacterial, and fungal community assembly. 1 records from sediment metagenome Metagenome. 1 records from Assessing the microbial diversity in Cape Comorin ocean water. 1 records from Taxonomic study of endospores in a marine sediment. 2 records from sediment metagenome Metagenome. 2 records from particle-attached and free-living bacteria kongsfjorden. 22 records from Species-specific associations between bacterioplankton and photosynthetic picoeukaryotes. 9 records from Sediment surface microbial community changes due to phytoplankton addition. 2 records from Nutrient addition mesocosm experiment Targeted Locus (Loci). 23 records from Temporal effect of plant diversity and oiling on nitrogen cycling in marsh sediments. Data from some individual datasets included in this download may be licensed under less restrictive terms. |
format |
Dataset |
author |
Occdownload Gbif.Org |
author_facet |
Occdownload Gbif.Org |
author_sort |
Occdownload Gbif.Org |
title |
Occurrence Download |
title_short |
Occurrence Download |
title_full |
Occurrence Download |
title_fullStr |
Occurrence Download |
title_full_unstemmed |
Occurrence Download |
title_sort |
occurrence download |
publisher |
The Global Biodiversity Information Facility |
publishDate |
2021 |
url |
https://dx.doi.org/10.15468/dl.dbvx67 https://www.gbif.org/occurrence/download/0325076-200613084148143 |
geographic |
Arctic Svalbard Mid-Atlantic Ridge |
geographic_facet |
Arctic Svalbard Mid-Atlantic Ridge |
genre |
Arctic Kongsfjord* Kongsfjorden Phytoplankton Svalbard |
genre_facet |
Arctic Kongsfjord* Kongsfjorden Phytoplankton Svalbard |
op_relation |
https://dx.doi.org/10.15468/8vvglr https://dx.doi.org/10.15468/3z7ozm https://dx.doi.org/10.15468/bvfvjt https://dx.doi.org/10.15468/c73eaq https://dx.doi.org/10.15468/emdudn https://dx.doi.org/10.15468/goblzl https://dx.doi.org/10.15468/gf3sdz https://dx.doi.org/10.15468/ycmdbt https://dx.doi.org/10.15468/k9uo8e https://dx.doi.org/10.15468/kvarjx https://dx.doi.org/10.15468/obvynt https://dx.doi.org/10.15468/qnd7n9 https://dx.doi.org/10.15468/2rnygk https://dx.doi.org/10.15468/g4pwpf https://dx.doi.org/10.15468/xaaykj https://dx.doi.org/10.15468/cewp3n https://dx.doi.org/10.15468/cndomv https://dx.doi.org/10.15468/gygxhs https://dx.doi.org/10.15468/pgkhjb https://dx.doi.org/10.15468/1woy9p https://dx.doi.org/10.15468/1ntxtc https://dx.doi.org/10.15468/tr3fbz https://dx.doi.org/10.15468/if5yr1 https://dx.doi.org/10.15468/7zbim6 https://dx.doi.org/10.15468/g47m73 https://dx.doi.org/10.15468/hrmwxl https://dx.doi.org/10.15468/x6grfq https://dx.doi.org/10.15468/1elvjp https://dx.doi.org/10.15468/xglez0 https://dx.doi.org/10.15468/ivx4il https://dx.doi.org/10.15468/pthgos https://dx.doi.org/10.15468/alaa3b https://dx.doi.org/10.15468/2ve8pm https://dx.doi.org/10.15468/a2umj5 https://dx.doi.org/10.15468/vcdrug https://dx.doi.org/10.15468/dmiq7v https://dx.doi.org/10.15468/bwllea https://dx.doi.org/10.15468/8xqykj https://dx.doi.org/10.15468/e0t3fa https://dx.doi.org/10.15468/3zooh8 https://dx.doi.org/10.15468/2bspcn https://dx.doi.org/10.15468/vv9tly https://dx.doi.org/10.15468/tu5bvf https://dx.doi.org/10.15468/wasgny https://dx.doi.org/10.15468/hmsjbx https://dx.doi.org/10.15468/n85r0e https://dx.doi.org/10.15468/rkzocn https://dx.doi.org/10.15468/xjefiq https://dx.doi.org/10.15468/ifnznl |
op_rights |
Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.15468/dl.dbvx67 https://doi.org/10.15468/8vvglr https://doi.org/10.15468/3z7ozm https://doi.org/10.15468/bvfvjt https://doi.org/10.15468/c73eaq https://doi.org/10.15468/emdudn https://doi.org/10.15468/goblzl https://doi.or |
_version_ |
1766350170842202112 |
spelling |
ftdatacite:10.15468/dl.dbvx67 2023-05-15T15:19:57+02:00 Occurrence Download Occdownload Gbif.Org 2021 Darwin Core Archive https://dx.doi.org/10.15468/dl.dbvx67 https://www.gbif.org/occurrence/download/0325076-200613084148143 unknown The Global Biodiversity Information Facility https://dx.doi.org/10.15468/8vvglr https://dx.doi.org/10.15468/3z7ozm https://dx.doi.org/10.15468/bvfvjt https://dx.doi.org/10.15468/c73eaq https://dx.doi.org/10.15468/emdudn https://dx.doi.org/10.15468/goblzl https://dx.doi.org/10.15468/gf3sdz https://dx.doi.org/10.15468/ycmdbt https://dx.doi.org/10.15468/k9uo8e https://dx.doi.org/10.15468/kvarjx https://dx.doi.org/10.15468/obvynt https://dx.doi.org/10.15468/qnd7n9 https://dx.doi.org/10.15468/2rnygk https://dx.doi.org/10.15468/g4pwpf https://dx.doi.org/10.15468/xaaykj https://dx.doi.org/10.15468/cewp3n https://dx.doi.org/10.15468/cndomv https://dx.doi.org/10.15468/gygxhs https://dx.doi.org/10.15468/pgkhjb https://dx.doi.org/10.15468/1woy9p https://dx.doi.org/10.15468/1ntxtc https://dx.doi.org/10.15468/tr3fbz https://dx.doi.org/10.15468/if5yr1 https://dx.doi.org/10.15468/7zbim6 https://dx.doi.org/10.15468/g47m73 https://dx.doi.org/10.15468/hrmwxl https://dx.doi.org/10.15468/x6grfq https://dx.doi.org/10.15468/1elvjp https://dx.doi.org/10.15468/xglez0 https://dx.doi.org/10.15468/ivx4il https://dx.doi.org/10.15468/pthgos https://dx.doi.org/10.15468/alaa3b https://dx.doi.org/10.15468/2ve8pm https://dx.doi.org/10.15468/a2umj5 https://dx.doi.org/10.15468/vcdrug https://dx.doi.org/10.15468/dmiq7v https://dx.doi.org/10.15468/bwllea https://dx.doi.org/10.15468/8xqykj https://dx.doi.org/10.15468/e0t3fa https://dx.doi.org/10.15468/3zooh8 https://dx.doi.org/10.15468/2bspcn https://dx.doi.org/10.15468/vv9tly https://dx.doi.org/10.15468/tu5bvf https://dx.doi.org/10.15468/wasgny https://dx.doi.org/10.15468/hmsjbx https://dx.doi.org/10.15468/n85r0e https://dx.doi.org/10.15468/rkzocn https://dx.doi.org/10.15468/xjefiq https://dx.doi.org/10.15468/ifnznl Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 CC-BY GBIF biodiversity species occurrences dataset Dataset 2021 ftdatacite https://doi.org/10.15468/dl.dbvx67 https://doi.org/10.15468/8vvglr https://doi.org/10.15468/3z7ozm https://doi.org/10.15468/bvfvjt https://doi.org/10.15468/c73eaq https://doi.org/10.15468/emdudn https://doi.org/10.15468/goblzl https://doi.or 2021-11-05T12:55:41Z A dataset containing 321 species occurrences available in GBIF matching the query: { "TaxonKey" : [ "is Orientia tsutsugamushi A" ] } The dataset includes 321 records from 49 constituent datasets: 1 records from marine metagenome. 7 records from Comparative 16S analysis of hydrothermal vent samples from the Mid-Atlantic Ridge (MAR). 7 records from Oil-water intephase microbial community analysis Raw sequence reads. 1 records from Microbial community in marine sediments. 6 records from Oceanic microplankton do not adhere to the latitudinal diversity gradient. 13 records from Response of soil bacteria to anthropogenic soil variables at large spatial scales. 19 records from marine metagenome Metagenome. 1 records from A practical introduction to microbial molecular ecology through the use of iChips. 4 records from marine metagenome Metagenome. 7 records from Nahant Collection. 1 records from DSMZ Bacteria. 2 records from photoautotrophic_biofilm. 2 records from Soil microbial distribution. 1 records from Depth profile of ancient sediments. 1 records from aquatic bacterial metagenome Raw sequence reads. 11 records from Who eats the tough stuff DNA stable isotope probing (SIP) of bacteria and fungi degrading 13C-labelled lignin and cellulose in forest soils. 47 records from Geographically tagged INSDC sequences. 1 records from Coral. 1 records from Amino acid addition experiment Metagenome. 3 records from Microbial diversity in the Tongyeong-Geoje coastal area of Korea2. 13 records from Marine metagenomes Metagenome. 7 records from Nuunat- ORMS formation during oil biodegradation at low temperature. 2 records from Microbial ecology of bacteiral community in sediment from adjacent waters of Rushan Bay. 2 records from Microbial diversity in the Tongyeong-Geoje coastal area of Korea. 21 records from Bacteria exposure experiment North Sea. 1 records from 16S rRNA metagenomic investigation of arsenotrophic bacteriome of ground water and soil from arsenic-prone area of Bangladesh. 1 records from Microbial Processes and Biodiversity: OCEAN. 1 records from marine sediment metagenome Raw sequence reads. 14 records from Soil marker gene sequences across the Nutrient Network. 38 records from Microbial community structure is affected by cropping sequences and bio-covers under long-term no-tillage. 3 records from MeHg Coal Ash. 1 records from Metagenome from mudbank Area,Alappuzha Kerala India. 2 records from 16S rRNA Analysis of Osaka Bay Microbiomes. 5 records from Chandeleur Island 2016 Amplicon Study Raw sequence reads. 1 records from Analysis of plasmidome of high-altitude lakes from the Andean Puna. 1 records from Microbial diversity of marine sediments. 1 records from Marine sediment metagenome. 1 records from Controls on microalgal community structures in cryoconite holes upon high Arctic glaciers, Svalbard. 6 records from Sediment Metagenome Raw sequence reads. 1 records from Effects of organic matter manipulation on archaeal, bacterial, and fungal community assembly. 1 records from sediment metagenome Metagenome. 1 records from Assessing the microbial diversity in Cape Comorin ocean water. 1 records from Taxonomic study of endospores in a marine sediment. 2 records from sediment metagenome Metagenome. 2 records from particle-attached and free-living bacteria kongsfjorden. 22 records from Species-specific associations between bacterioplankton and photosynthetic picoeukaryotes. 9 records from Sediment surface microbial community changes due to phytoplankton addition. 2 records from Nutrient addition mesocosm experiment Targeted Locus (Loci). 23 records from Temporal effect of plant diversity and oiling on nitrogen cycling in marsh sediments. Data from some individual datasets included in this download may be licensed under less restrictive terms. Dataset Arctic Kongsfjord* Kongsfjorden Phytoplankton Svalbard DataCite Metadata Store (German National Library of Science and Technology) Arctic Svalbard Mid-Atlantic Ridge |