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

description: A dataset containing 274 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "Geometry POLYGON((-130.77971 -23.98348,-130.69984 -23.98348,-130.69984 -23.87812,-130.77971 -23.87812,-130.77971 -23.98348))"
 ]
}

 The dataset includes 274 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029702-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.4228/zalf-k74q-mc52
title: Grain legume production data for soybean, lupins and faba bean, the effect of cultivars and irrigation and impacts on the following winter wheat 
title: Data collection: Part 1/9, table:V421_SOIL_TEXTURE

description: This data set reports measurements and observations from a grain legume cropping system experiment (2017-2021) investigating the effects of cultivars and irrigation on yield of soybean, lupins and faba bean, and rotational effects on a subsequent winter wheat (2018-2020). The objective was to identify grain legume species and cultivars for designing novel cropping systems in north-eastern Germany. The data supports agronomic analyses, as well as dynamic simulation modelling and includes details on crop growth, soil characteristics and weather. In the first part of the experiment different species and cultivars and the effect of irrigation were compared in a split block design with four replicates and the factors species/cultivar and irrigation during five consecutive years (2017-2021). The treatments included eight to 18 species/cultivars depending on the year with soybean, narrow-leafed lupin, white lupin, yellow lupin, faba bean and chickpea. Buckwheat was cultivated as a reference crop. Soybean and lupin seeds were inoculated with HISTICK® soybean/lupin (BASF, Germany). No fertilizers and conventional crop protection was applied. All lupin species were treated with a natural insecticide against the Sitona weevils. For technical reasons, treatment with this insecticide of field bean, soybean and buckwheat was also unavoidable in some years. Measurements included grain yield, one thousand seed weigh, macro nutrients (N, P, K) in the grain, and additional agronomic observations including number of plants and plant phenology. Irrigation water was applied with a sprinkler system using the Web-BEREST model (Mirschel et al., 2014) to determine the amounts and timing (data on the amounts and dates are provided). In the second part of the experiment, the pre-crop effect of soybean narrow-leafed lupin, white lupin and buckwheat was tested on the grain yield and nutrient content in the following winter wheat crop and on the nitrogen dynamics in the soil. Before winter (November/December) and in the subsequent spring (February/March), mineral nitrogen was measured in the soil at three depths (0-30 cm, 30-60 cm, and 60-90 cm) after the different pre-crops. Winter wheat was established following the different pre-crops with 4 replicates during three consecutive years (2018-2020) with conventional fertilization and crop protection. Table V421_SOIL_TEXTURE: Soil description of the respective winter wheat fields in 2018-2020

Related datasets are listed in the metadata element 'Related Identifier'.
Dataset version 1.0
DOI: 10.57745/84be9s
title: neskid_c40_EKDL220008474-1A_HTLHVDSX3_L1_2.fq

description: :unav
DOI: 10.57745/gllxxt
title: neskid_c4_EKDL220008480-1A_HTLHVDSX3_L1_2.fq

description: Sample C4_Sham_L1_2
DOI: 10.57745/i7lzyj
title: neskid_c2_EKDL220008459-1A_HTLHVDSX3_L3_1.fq

description: :unav
DOI: 10.57745/mgblol
title: neskid_c7_EKDL220008464-1A_HTMCWDSX3_L4_1.fq

description: :unav
DOI: 10.57745/0dtcrh
title: neskid_c11_EKDL220008475-1A_HTMCTDSX3_L3_1.fq

description: :unav
DOI: 10.57745/aa6kn6
title: neskid_c16_EKDL220008483-1A_HTMCTDSX3_L3_1.fq

description: :unav
DOI: 10.57745/bvflus
title: neskid_c16_EKDL220008483-1A_HTLHVDSX3_L1_1.fq

description: :unav
DOI: 10.57745/crxy7w
title: neskid_c15_EKDL220008492-1A_HTLHVDSX3_L1_1.fq

description: :unav
DOI: 10.57745/djtxha
title: neskid_c17_EKDL220008488-1A_HTMCTDSX3_L3_2.fq

description: :unav
DOI: 10.57745/eo5xpq
title: neskid_c41_EKDL220008468-1A_HTMCVDSX3_L1_2.fq

description: :unav
DOI: 10.57745/et5gmt
title: neskid_c10_EKDL220008463-1A_HTMCWDSX3_L3_1.fq

description: :unav
DOI: 10.57745/ovlhok
title: neskid_c15_EKDL220008492-1A_HTLHVDSX3_L1_2.fq

description: :unav
DOI: 10.57745/r3lleu
title: neskid_c28_EKDL220008482-1A_HTMCTDSX3_L3_2.fq

description: :unav
DOI: 10.57745/x3amk2
title: neskid_c15_EKDL220008492-1A_HTMCTDSX3_L3_2.fq

description: :unav
DOI: 10.57745/4npx79
title: neskid_c4_EKDL220008480-1A_HTLHVDSX3_L1_1.fq

description: Sample C4_Sham_L1_1
DOI: 10.57745/59labb
title: neskid_c4_EKDL220008480-1A_HTMCTDSX3_L3_1.fq

description: Sample C4_Sham_L3_1
DOI: 10.57745/bypfhr
title: neskid_c4_EKDL220008480-1A_HTMCTDSX3_L3_2.fq

description: Sample C4_Sham_L3_2
DOI: 10.57745/i9vliu
title: neskid_c6_EKDL220008496-1A_HTMCTDSX3_L3_2.fq

description: :unav
DOI: 10.57745/lmv9r4
title: neskid_c32_EKDL220008478-1A_HTMCTDSX3_L3_1.fq

description: :unav
DOI: 10.57745/nnkpxa
title: neskid_c31_EKDL220008489-1A_HTLHVDSX3_L1_1.fq

description: :unav
DOI: 10.57745/np01n7
title: neskid_c14_EKDL220008460-1A_HTMHYDSX3_L3_1.fq

description: :unav
DOI: 10.57745/rlndil
title: neskid_c25_EKDL220008485-1A_HTMCTDSX3_L3_1.fq

description: :unav
DOI: 10.57745/vwsu3c
title: neskid_c13_EKDL220008494-1A_HTMCTDSX3_L3_1.fq

description: :unav
DOI: 10.57745/zsnys1
title: neskid_c8_EKDL220008470-1A_HTMCVDSX3_L1_1.fq

description: :unav
DOI: 10.57745/2ac5rw
title: neskid_c5_EKDL220008481-1A_HTLHVDSX3_L1_1.fq

description: :unav
DOI: 10.57745/fklqxv
title: neskid_c14_EKDL220008460-1A_HTLHVDSX3_L3_2.fq

description: :unav
DOI: 10.57745/hofyvs
title: neskid_c31_EKDL220008489-1A_HTMCTDSX3_L3_1.fq

description: :unav
DOI: 10.57745/iuqftc
title: neskid_c12_EKDL220008472-1A_HTLJ5DSX3_L1_1.fq

description: :unav
DOI: 10.57745/lfzwku
title: neskid_c30_EKDL220008473-1A_HTMCTDSX3_L3_1.fq

description: :unav
DOI: 10.57745/q8mxjc
title: neskid_c41_EKDL220008468-1A_HTMCVDSX3_L1_1.fq

description: :unav
DOI: 10.57745/qe5uun
title: neskid_c7_EKDL220008464-1A_HTMCVDSX3_L1_2.fq

description: :unav
DOI: 10.57745/ugezxo
title: neskid_c6_EKDL220008496-1A_HTLHVDSX3_L1_2.fq

description: :unav
DOI: 10.57745/viqofv
title: neskid_c12_EKDL220008472-1A_HTLJ5DSX3_L1_2.fq

description: :unav
DOI: 10.57745/zkwfoo
title: neskid_c18_EKDL220008477-1A_HTMCTDSX3_L3_2.fq

description: :unav
DOI: 10.57745/0crkfa
title: neskid_c41_EKDL220008468-1A_HTMCWDSX3_L4_1.fq

description: :unav
DOI: 10.57745/5twov9
title: neskid_c7_EKDL220008464-1A_HTMCVDSX3_L1_1.fq

description: :unav
DOI: 10.57745/dajkrj
title: neskid_c30_EKDL220008473-1A_HTLHVDSX3_L1_2.fq

description: :unav
DOI: 10.57745/e87yxc
title: neskid_c35_EKDL220008465-1A_HTMCVDSX3_L1_1.fq

description: :unav
DOI: 10.57745/ihltpp
title: neskid_c14_EKDL220008460-1A_HTMHYDSX3_L3_2.fq

description: :unav
DOI: 10.57745/od5p4u
title: neskid_c2_EKDL220008459-1A_HTLHVDSX3_L3_2.fq

description: Sample C2_Sham_L3_2
DOI: 10.57745/p4tkg8
title: neskid_c32_EKDL220008478-1A_HTMCTDSX3_L3_2.fq

description: :unav
DOI: 10.57745/v3yx18
title: neskid_c33_EKDL220008476-1A_HTLHVDSX3_L1_1.fq

description: :unav
DOI: 10.57745/yd5qcp
title: neskid_c35_EKDL220008465-1A_HTMCWDSX3_L4_1.fq

description: :unav
DOI: 10.57745/z4qg6d
title: neskid_c28_EKDL220008482-1A_HTMCTDSX3_L3_1.fq

description: :unav
DOI: 10.57745/0serca
title: neskid_c17_EKDL220008488-1A_HTLHVDSX3_L1_1.fq

description: :unav
DOI: 10.57745/8svtyq
title: neskid_c13_EKDL220008494-1A_HTLHVDSX3_L1_2.fq

description: :unav
DOI: 10.57745/ccmis1
title: neskid_c13_EKDL220008494-1A_HTLHVDSX3_L1_1.fq

description: :unav
DOI: 10.57745/dpsny8
title: neskid_c31_EKDL220008489-1A_HTLHVDSX3_L1_2.fq

description: :unav
DOI: 10.57745/dudm53
title: neskid_c40_EKDL220008474-1A_HTMCTDSX3_L3_1.fq

description: :unav
DOI: 10.57745/fccfef
title: neskid_c15_EKDL220008492-1A_HTMCTDSX3_L3_1.fq

description: :unav
DOI: 10.57745/gwxiyu
title: neskid_c10_EKDL220008463-1A_HTMCWDSX3_L3_2.fq

description: :unav
DOI: 10.57745/nvtucm
title: neskid_c28_EKDL220008482-1A_HTLHVDSX3_L1_2.fq

description: :unav
DOI: 10.57745/qdtz2m
title: neskid_c17_EKDL220008488-1A_HTLHVDSX3_L1_2.fq

description: :unav
DOI: 10.57745/sue6bf
title: neskid_c34_EKDL220008471-1A_HTLJ5DSX3_L1_1.fq

description: :unav
DOI: 10.57745/x6yuju
title: neskid_c7_EKDL220008464-1A_HTMCWDSX3_L4_2.fq

description: :unav
DOI: 10.57745/dshyic
title: neskid_c42_EKDL220008467-1A_HTMCVDSX3_L1_2.fq

description: :unav
DOI: 10.57745/hyuhql
title: neskid_c34_EKDL220008471-1A_HTLJ5DSX3_L1_2.fq

description: :unav
DOI: 10.57745/ifvhhd
title: neskid_c33_EKDL220008476-1A_HTMCTDSX3_L3_1.fq

description: :unav
DOI: 10.57745/kbify9
title: neskid_c11_EKDL220008475-1A_HTMCTDSX3_L3_2.fq

description: :unav
DOI: 10.57745/kirgg3
title: neskid_c2_EKDL220008459-1A_HTMHYDSX3_L3_2.fq

description: Sample C2_Sham_L3_2
DOI: 10.57745/ktzdbj
title: neskid_c9_EKDL220008466-1A_HTMCWDSX3_L4_1.fq

description: :unav
DOI: 10.57745/llm7e9
title: neskid_c40_EKDL220008474-1A_HTLHVDSX3_L1_1.fq

description: :unav
DOI: 10.57745/n8v7hl
title: neskid_c16_EKDL220008483-1A_HTMCTDSX3_L3_2.fq

description: :unav
DOI: 10.57745/omyvsd
title: neskid_c32_EKDL220008478-1A_HTLHVDSX3_L1_1.fq

description: :unav
DOI: 10.57745/rct1xp
title: neskid_c5_EKDL220008481-1A_HTMCTDSX3_L3_1.fq

description: :unav
DOI: 10.57745/txvrua
title: neskid_c8_EKDL220008470-1A_HTMCVDSX3_L1_2.fq

description: :unav
DOI: 10.57745/yoapfb
title: neskid_c13_EKDL220008494-1A_HTMCTDSX3_L3_2.fq

description: :unav
DOI: 10.57745/4rnyfr
title: neskid_c42_EKDL220008467-1A_HTMCVDSX3_L1_1.fq

description: :unav
DOI: 10.57745/63qzqk
title: neskid_c5_EKDL220008481-1A_HTLHVDSX3_L1_2.fq

description: :unav
DOI: 10.57745/b2aeq7
title: neskid_c18_EKDL220008477-1A_HTLHVDSX3_L1_1.fq

description: :unav
DOI: 10.57745/dd7yzn
title: neskid_c8_EKDL220008470-1A_HTLJ5DSX3_L1_1.fq

description: :unav
DOI: 10.57745/hbd3vp
title: neskid_c40_EKDL220008474-1A_HTMCTDSX3_L3_2.fq

description: :unav
DOI: 10.57745/opw4yl
title: neskid_c6_EKDL220008496-1A_HTMCTDSX3_L3_1.fq

description: :unav
DOI: 10.57745/sjuipg
title: neskid_c16_EKDL220008483-1A_HTLHVDSX3_L1_2.fq

description: :unav
DOI: 10.57745/uty5i0
title: neskid_c25_EKDL220008485-1A_HTLHVDSX3_L1_2.fq

description: :unav
DOI: 10.57745/zqaoym
title: neskid_c18_EKDL220008477-1A_HTMCTDSX3_L3_1.fq

description: :unav
DOI: 10.57745/62gihg
title: neskid_c25_EKDL220008485-1A_HTMCTDSX3_L3_2.fq

description: :unav
DOI: 10.57745/6el2un
title: neskid_c32_EKDL220008478-1A_HTLHVDSX3_L1_2.fq

description: :unav
DOI: 10.57745/dkgoeb
title: neskid_c14_EKDL220008460-1A_HTLHVDSX3_L3_1.fq

description: :unav
DOI: 10.57745/h9fwlt
title: neskid_c42_EKDL220008467-1A_HTMCWDSX3_L4_1.fq

description: :unav
DOI: 10.57745/hbpzaw
title: neskid_c8_EKDL220008470-1A_HTLJ5DSX3_L1_2.fq

description: :unav
DOI: 10.57745/lygsr1
title: neskid_c33_EKDL220008476-1A_HTLHVDSX3_L1_2.fq

description: :unav
DOI: 10.57745/ndmw83
title: neskid_c18_EKDL220008477-1A_HTLHVDSX3_L1_2.fq

description: :unav
DOI: 10.57745/pwqfgq
title: neskid_c5_EKDL220008481-1A_HTMCTDSX3_L3_2.fq

description: :unav
DOI: 10.57745/uwmss7
title: neskid_c42_EKDL220008467-1A_HTMCWDSX3_L4_2.fq

description: :unav
DOI: 10.57745/xmgmch
title: neskid_c31_EKDL220008489-1A_HTMCTDSX3_L3_2.fq

description: :unav
DOI: 10.57745/0klrqz
title: neskid_c2_EKDL220008459-1A_HTMHYDSX3_L3_1.fq

description: Sample C2_Sham_L3_1
DOI: 10.57745/a6md1w
title: neskid_c11_EKDL220008475-1A_HTLHVDSX3_L1_1.fq

description: :unav
DOI: 10.57745/arhqhx
title: neskid_c35_EKDL220008465-1A_HTMCWDSX3_L4_2.fq

description: :unav
DOI: 10.57745/dhye4c
title: neskid_c35_EKDL220008465-1A_HTMCVDSX3_L1_2.fq

description: :unav
DOI: 10.57745/fyniwa
title: neskid_c30_EKDL220008473-1A_HTMCTDSX3_L3_2.fq

description: :unav
DOI: 10.57745/lvtxve
title: neskid_c6_EKDL220008496-1A_HTLHVDSX3_L1_1.fq

description: :unav
DOI: 10.57745/motrox
title: neskid_c41_EKDL220008468-1A_HTMCWDSX3_L4_2.fq

description: :unav
DOI: 10.57745/usspuq
title: neskid_c11_EKDL220008475-1A_HTLHVDSX3_L1_2.fq

description: :unav
DOI: 10.57745/zyig2g
title: neskid_c33_EKDL220008476-1A_HTMCTDSX3_L3_2.fq

description: :unav
DOI: 10.57745/38rrhv
title: README.txt

description: Description du jeux de données
DOI: 10.57745/dbyizx
title: neskid_c25_EKDL220008485-1A_HTLHVDSX3_L1_1.fq

description: :unav
DOI: 10.57745/g0xjxn
title: neskid_c9_EKDL220008466-1A_HTMCWDSX3_L4_2.fq

description: :unav
DOI: 10.57745/r0tlqx
title: neskid_c30_EKDL220008473-1A_HTLHVDSX3_L1_1.fq

description: :unav
DOI: 10.57745/rj6k5n
title: sample description.txt

description: :unav
DOI: 10.57745/vpohlc
title: neskid_c17_EKDL220008488-1A_HTMCTDSX3_L3_1.fq

description: :unav
DOI: 10.5281/zenodo.13465444
title: Dataset of the article Optical Tweezer Arrays of Erbium Atoms

description: Datasets of the experimental data of the article Optical Tweezer Arrays of Erbium Atoms. The dataset is organized in folders, one for each figure. The data is written as tables in text files and it includes theoretical curves and fits of the same figure. A Python script is included to reproduce the figures.
DOI: 10.5281/zenodo.13465445
title: Dataset of the article Optical Tweezer Arrays of Erbium Atoms

description: Datasets of the experimental data of the article Optical Tweezer Arrays of Erbium Atoms. The dataset is organized in folders, one for each figure. The data is written as tables in text files and it includes theoretical curves and fits of the same figure. A Python script is included to reproduce the figures.
DOI: 10.5281/zenodo.14381969
title: JGR2024BGS

description: The datasets for Peng et al. (2024)
DOI: 10.5281/zenodo.14381970
title: JGR2024BGS

description: The datasets for Peng et al. (2024)
DOI: 10.48597/7jw8-3wa4
title: Measurement of POPs (persistent organic pollutants) at Schmücke

description: Measurement of POPs (persistent organic pollutants) at Schmücke
DOI: 10.48597/yxeu-nz65
title: Measurement of Nitrogen oxides at Schmücke

description: Measurement of Nitrogen oxides at Schmücke
DOI: 10.48597/fsz5-jb6f
title: Measurement of Heavy metals at Schmücke

description: Measurement of Heavy metals at Schmücke
DOI: 10.48597/psa4-xxvt
title: Measurement of Nitrogen_dioxide at Neuglobsow

description: Measurement of Nitrogen_dioxide at Neuglobsow
DOI: 10.48597/5k9c-8g6n
title: Measurement of Mercury_TGM at Schmücke

description: Measurement of Mercury_TGM at Schmücke
DOI: 10.48597/rpcw-bba2
title: Measurement of Ammonia at Schmücke

description: Measurement of Ammonia at Schmücke
DOI: 10.48597/z4r4-d5yp
title: Measurement of POPs (persistent organic pollutants) at Schmücke

description: Measurement of POPs (persistent organic pollutants) at Schmücke
DOI: 10.48597/j8pw-g6y6
title: Measurement of Ammonia at Schmücke

description: Measurement of Ammonia at Schmücke
DOI: 10.48597/nkjg-ubhb
title: Measurement of Ammonia at Schmücke

description: Measurement of Ammonia at Schmücke
DOI: 10.48597/sqzr-nf2s
title: Measurement of Ammonia at Schmücke

description: Measurement of Ammonia at Schmücke
DOI: 10.48597/429y-b3ub
title: Measurement of Mercury_TGM at Schmücke

description: Measurement of Mercury_TGM at Schmücke
DOI: 10.48597/bq7m-9qxe
title: Measurement of Mercury_TGM at Schmücke

description: Measurement of Mercury_TGM at Schmücke
DOI: 10.48597/ehte-d9c6
title: Measurement of Mercury_TGM at Schmücke

description: Measurement of Mercury_TGM at Schmücke
DOI: 10.48597/ftms-hzyw
title: Measurement of Mercury_TGM at Schmücke

description: Measurement of Mercury_TGM at Schmücke
DOI: 10.48597/nnyp-5edy
title: Measurement of Mercury_TGM at Schmücke

description: Measurement of Mercury_TGM at Schmücke
DOI: 10.48597/sgug-znbd
title: Measurement of Ammonia at Schmücke

description: Measurement of Ammonia at Schmücke
DOI: 10.48597/tsy9-c6ya
title: Measurement of Ammonia at Schmücke

description: Measurement of Ammonia at Schmücke
DOI: 10.48597/uh83-fbwr
title: Measurement of Ammonia at Schmücke

description: Measurement of Ammonia at Schmücke
DOI: 10.48597/ya7z-sfwp
title: Measurement of Ammonia at Schmücke

description: Measurement of Ammonia at Schmücke
DOI: 10.48597/6j3u-yyws
title: Measurement of Mercury_TGM at Schmücke

description: Measurement of Mercury_TGM at Schmücke
DOI: 10.48597/8kmw-3wd3
title: Measurement of Mercury_TGM at Schmücke

description: Measurement of Mercury_TGM at Schmücke
DOI: 10.48597/e4zn-vpv2
title: Measurement of POPs (persistent organic pollutants) at Schmücke

description: Measurement of POPs (persistent organic pollutants) at Schmücke
DOI: 10.48597/f25g-tvbg
title: Measurement of Mercury_TGM at Schmücke

description: Measurement of Mercury_TGM at Schmücke
DOI: 10.48597/j5vu-famv
title: Measurement of Mercury_TGM at Schmücke

description: Measurement of Mercury_TGM at Schmücke
DOI: 10.48597/sazc-s9yu
title: Measurement of Mercury_TGM at Schmücke

description: Measurement of Mercury_TGM at Schmücke
DOI: 10.48597/t6c9-6ywz
title: Measurement of Mercury_TGM at Schmücke

description: Measurement of Mercury_TGM at Schmücke
DOI: 10.48597/vr33-fk6b
title: Measurement of Mercury_TGM at Schmücke

description: Measurement of Mercury_TGM at Schmücke
DOI: 10.48597/ww8j-h3pg
title: Measurement of Mercury_TGM at Schmücke

description: Measurement of Mercury_TGM at Schmücke
DOI: 10.48597/zcdy-qx6n
title: Measurement of Mercury_TGM at Schmücke

description: Measurement of Mercury_TGM at Schmücke
DOI: 10.48597/a8kh-w4mh
title: Measurement of Mercury_TGM at Schmücke

description: Measurement of Mercury_TGM at Schmücke
DOI: 10.48597/h49p-dgp8
title: Measurement of Mercury_TGM at Schmücke

description: Measurement of Mercury_TGM at Schmücke
DOI: 10.48597/96q4-4yq3
title: Measurement of POPs (persistent organic pollutants) at Schmücke

description: Measurement of POPs (persistent organic pollutants) at Schmücke
DOI: 10.48597/z3m7-dpt8
title: Measurement of POPs (persistent organic pollutants) at Schmücke

description: Measurement of POPs (persistent organic pollutants) at Schmücke
DOI: 10.48597/ead6-z6dn
title: Measurement of Heavy metals at Schmücke

description: Measurement of Heavy metals at Schmücke
DOI: 10.48597/xb4e-ke8x
title: Measurement of Heavy metals at Schmücke

description: Measurement of Heavy metals at Schmücke
DOI: 10.48597/4s2w-bxnj
title: Measurement of POPs (persistent organic pollutants) at Schmücke

description: Measurement of POPs (persistent organic pollutants) at Schmücke
DOI: 10.48597/6gd9-6at8
title: Measurement of Heavy metals at Schmücke

description: Measurement of Heavy metals at Schmücke
DOI: 10.5285/4259989a-8485-4066-a2e8-9678d63056b4
title: Annual georeferenced rasters of ice-surface velocity for the Larsen C ice shelf, Antarctica, between 2015 and 2022

description: Magnitude and x and y components of surface speed on the Larsen C ice shelf, Antarctica. The datasets are annual means from 2015 to 2022 at a horizontal resolution of 100 m. The data are based on feature tracking of Sentinel 1 Synthetic Aperture Radar (SAR) satellite data. The velocities were created to support a NERC-funded project investigating ice-shelf rift propagation, by Prof. Adrian Luckman.

NERC standard grant NE/T008016/1.
description: Speeds were measured by feature-tracking Sentinel-1A and 1B SAR images with a temporal separation of 6 or 12 days. Displacements in SAR image geometry were filtered twice: first by a signal to noise ratio based on the cross-correlation of image patches, and then according to deviation from the mean displacement within a neighbourhood. The filtered displacements were converted from the SAR geometry to ground-range geometry, and the results geocoded using the RAMP Digital Elevation Model (Liu et al., 2015). The vertical tidal signal was removed using the Circum-Antarctic Tidal Simulation version 2008 (CATS:2008) model (Howard and Padman, 2015). Individual maps of velocity (between 30 and 122 per year) were averaged to create annual means.
description: The Sentinel data were supplied by ESA and processed using Gamma Remote Sensing software.
description: The name of each annual Geotiff contains the number of feature-tracked image pairs contributing to the measurement. Images which make up a pair may have either a 6-day (between Sentinel 1A and Sentinel 1B) or a 12-day time separation (Sentinel 1A only). Image-pairs with a 12-day separation have poorer velocity retrieval owing to increased surface decorrelation. Therefore, quality is best for the 2017, 2018, 2019 and 2020 means when both Sentinel 1A and Sentinel 1B were both in operation.
DOI: 10.48597/b7f9-za9v
title: Measurement of Mercury_TGM at Schmücke

description: Measurement of Mercury_TGM at Schmücke
DOI: 10.48597/k3q8-nxmu
title: Measurement of POPs (persistent organic pollutants) at Schmücke

description: Measurement of POPs (persistent organic pollutants) at Schmücke
DOI: 10.48597/w5d4-cc99
title: Measurement of Ammonia at Schmücke

description: Measurement of Ammonia at Schmücke
DOI: 10.15468/dl.m7yqfp
title: Occurrence Download

description: A dataset containing 2190 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Plantago argentea Chaix, Plantago capitata Sternb.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 2190 records from 80 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029705-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mvx456
title: Occurrence Download

description: A dataset containing 33 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-38.71594 26.71019,-5.24582 26.71019,-5.24582 45.01416,-38.71594 45.01416,-38.71594 26.71019))",
 "TaxonKey is Chaenophryne longiceps Regan, 1925"
 ]
}

 The dataset includes 33 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029706-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5285/c4ec0104-0051-49b4-ae41-a5e9a961ae09
title: Annual georeferenced rasters of ice-surface velocity for the Brunt ice shelf, Antarctica, between 2015 and 2022

description: Magnitude and x and y components of surface speed on the Brunt ice shelf, Antarctica. The datasets are annual means from 2015 to 2022 at a horizontal resolution of 100 m. The data are based on feature tracking of Sentinel 1 Synthetic Aperture Radar (SAR) satellite data. The velocities were created to support a NERC-funded project investigating ice-shelf rift propagation, by Prof. Adrian Luckman.

NERC standard grant NE/T008016/1.
description: Speeds were measured by feature-tracking Sentinel-1A and 1B SAR images with a temporal separation of 6 or 12 days. Displacements in SAR image geometry were filtered twice: first by a signal to noise ratio based on the cross-correlation of image patches, and then according to deviation from the mean displacement within a neighbourhood. The filtered displacements were converted from the SAR geometry to ground-range geometry, and the results geocoded using the RAMP Digital Elevation Model (Liu et al., 2015). The vertical tidal signal was removed using the Circum-Antarctic Tidal Simulation version 2008 (CATS:2008) model (Howard and Padman, 2015). Individual maps of velocity (between 30 and 122 per year) were averaged to create annual means.
description: The Sentinel data were supplied by ESA and processed using Gamma Remote Sensing software.
description: The name of each annual Geotiff contains the number of feature-tracked image pairs contributing to the measurement. Images which make up a pair may have either a 6-day (between Sentinel 1A and Sentinel 1B) or a 12-day time separation (Sentinel 1A only). Image-pairs with a 12-day separation have poorer velocity retrieval owing to increased surface decorrelation. Therefore, quality is best for the 2017, 2018, 2019 and 2020 means when both Sentinel 1A and Sentinel 1B were both in operation.