cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57745/psryxu
title: SM MTU.mrk.json
DOI: 10.57745/xwzscs
title: ST MTU.mrk.json
DOI: 10.57745/bmelnb
title: BF MTU.mrk.json
DOI: 10.57745/9exlfk
title: IJ3.nrrd
DOI: 10.57745/7ihpij
title: Segmentation.seg.nrrd
DOI: 10.57745/kfqnqc
title: SM MTU.mrk.json
DOI: 10.57745/guf4ku
title: ST MTU.mrk.json
DOI: 10.5281/zenodo.14016560
title: Data Repository - From net-zero to zero-fossil in transforming the EU energy system

description: This is the data repository to reproduce the analysis of the manuscript "From net-zero to zero-fossil in transforming the EU energy system", which is currently under review for publication in a scientific journal. 

The source code for the REMIND version used in this study is available at https://github.com/fschreyer/remind/tree/FossilFree_master. The scenario config file that was used to start the specific model runs of the analysis including all scenario-specific model settings can be found in the repository under ./config/scenario_config_fossilfree.csv. The repository is a fork with slight changes relative to the main release version available at https://github.com/remindmodel/remind/tree/v3.3.1 and https://zenodo.org/records/12104410. A general model documentation can be found at https://rse.pik-potsdam.de/doc/remind/3.2.0. 

The data repository contains the following files:

data



FossilFree_Plot.Rmd - R markdown file used for the analysis.

AllScenarioData.mif - Data file containing REMIND scenario output data used for the analysis.

MainFigures.xlsx - Data file containing all data plotted in main figures of the text.

SIFigures.xlsx - Data file containing all data plotted in extended data figures and supplementary figures of the text.

data folder: containing data and mapping files used for the FossilFree_Plot.Rmd script

scripts folder: containing additional scripts and functions used in the FossilFree_Plot.Rmd script


Note that we cannot provide the AR6 scenario data here. Please refer to https://zenodo.org/records/7197970. 

Disclaimer: We here publish a comprehensive dataset of our model output which includes more data than what is needed to reproduce the figures of the paper. Those data can be helpful to compare and contextualize our scenarios or use them for further analyses. However, due to the scope and complexity of our modeling framework, these data need to be used with care. The data used for the analysis of this study have been thoroughly validated. However, we cannot always perform such validation for the whole dataset and data need to treated with caution in particular at high regional or sectoral resolution and with respect to aspects that were not in the focus of the study as there maybe artefacts or limitations of our modeling approach. Please contact us in case you would like to use our scenarios for further analyses. We welcome open and constructive exchange on our data. 

Contact:Felix SchreyerPotsdam Institute for Climate Impact Researchfelix.schreyer@pik-potsdam.de
DOI: 10.5281/zenodo.17132530
title: Data Repository - From net-zero to zero-fossil in transforming the EU energy system

description: This is the data repository to reproduce the analysis of the manuscript "From net-zero to zero-fossil in transforming the EU energy system", which is currently under review for publication in a scientific journal. 

The source code for the REMIND version used in this study is available at https://github.com/fschreyer/remind/tree/FossilFree_master. The scenario config file that was used to start the specific model runs of the analysis including all scenario-specific model settings can be found in the repository under ./config/scenario_config_fossilfree.csv. The repository is a fork with slight changes relative to the main release version available at https://github.com/remindmodel/remind/tree/v3.3.1 and https://zenodo.org/records/12104410. A general model documentation can be found at https://rse.pik-potsdam.de/doc/remind/3.2.0. 

The data repository contains the following files:

data



FossilFree_Plot.Rmd - R markdown file used for the analysis.

AllScenarioData.mif - Data file containing REMIND scenario output data used for the analysis.

MainFigures.xlsx - Data file containing all data plotted in main figures of the text.

SIFigures.xlsx - Data file containing all data plotted in extended data figures and supplementary figures of the text.

data folder: containing data and mapping files used for the FossilFree_Plot.Rmd script

scripts folder: containing additional scripts and functions used in the FossilFree_Plot.Rmd script


Note that we cannot provide the AR6 scenario data here. Please refer to https://zenodo.org/records/7197970. 

Disclaimer: We here publish a comprehensive dataset of our model output which includes more data than what is needed to reproduce the figures of the paper. Those data can be helpful to compare and contextualize our scenarios or use them for further analyses. However, due to the scope and complexity of our modeling framework, these data need to be used with care. The data used for the analysis of this study have been thoroughly validated. However, we cannot always perform such validation for the whole dataset and data need to treated with caution in particular at high regional or sectoral resolution and with respect to aspects that were not in the focus of the study as there maybe artefacts or limitations of our modeling approach. Please contact us in case you would like to use our scenarios for further analyses. We welcome open and constructive exchange on our data. 

Contact:Felix SchreyerPotsdam Institute for Climate Impact Researchfelix.schreyer@pik-potsdam.de
DOI: 10.57745/4isu8p
title: IJ4.nrrd
DOI: 10.57745/9l0t60
title: BF MTU.mrk.json
DOI: 10.57745/zi2mzm
title: Segmentation.seg.nrrd
DOI: 10.57745/4qy5nv
title: SM MTU.mrk.json
DOI: 10.57745/2s1ri3
title: BF MTU.mrk.json
DOI: 10.57745/ffvlvc
title: ST MTU.mrk.json
DOI: 10.57745/c6tadw
title: IJ5.nrrd
DOI: 10.57745/4gabbd
title: Segmentation.seg.nrrd
DOI: 10.57745/qw5tx7
title: SM MTU.mrk.json
DOI: 10.57745/wbl4do
title: ST MTU.mrk.json
DOI: 10.57745/bmqjky
title: RF MTU.mrk.json
DOI: 10.57745/rmo5cr
title: RF1.nrrd
DOI: 10.57745/ql7g8i
title: Segmentation.seg.nrrd
DOI: 10.57745/bcuvdf
title: RF2.nrrd
DOI: 10.57745/wcdbyw
title: RF MTU.mrk.json
DOI: 10.57745/ieqxku
title: Segmentation.seg.nrrd
DOI: 10.57745/vorji4
title: RF MTU.mrk.json
DOI: 10.34740/kaggle/dsv/13078047
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.57745/casmvs
title: Segmentation.seg.nrrd
DOI: 10.57745/vyfctn
title: RF3.nrrd
DOI: 10.57745/rvzrwo
title: RF MTU.mrk.json
DOI: 10.57745/fqaiof
title: RF4.nrrd
DOI: 10.57745/upgj9i
title: Segmentation.seg.nrrd
DOI: 10.57745/kcqjt5
title: RF MTU.mrk.json
DOI: 10.57745/cnoamq
title: Segmentation.seg.nrrd
DOI: 10.57745/m1c8bz
title: RF5.nrrd
DOI: 10.57745/qetp4n
title: GAS1.nrrd
DOI: 10.57745/xgsy9y
title: GL MTU.mrk.json
DOI: 10.57745/jateio
title: GM MTU.mrk.json
DOI: 10.57745/xsor1m
title: Segmentation.seg.nrrd
DOI: 10.57745/4tfdqb
title: GL MTU.mrk.json
DOI: 10.57745/uqfueu
title: GAS2a.nrrd
DOI: 10.57745/mpiy3w
title: GM MTU.mrk.json
DOI: 10.57745/yzsalq
title: Segmentation.seg.nrrd
DOI: 10.57745/o5nkx9
title: GAS2b.nrrd
DOI: 10.57745/2yi8xr
title: GM MTU.mrk.json
DOI: 10.57745/mdlgkj
title: GL MTU.mrk.json
DOI: 10.57745/i6silo
title: Segmentation.seg.nrrd
DOI: 10.57745/vyjgon
title: GAS3.nrrd
DOI: 10.57745/msk9yx
title: GL MTU.mrk.json
DOI: 10.57745/cw1v46
title: Segmentation.seg.nrrd
DOI: 10.57745/pceu0p
title: GM MTU.mrk.json
DOI: 10.57745/nhlnqx
title: GAS4.nrrd
DOI: 10.57745/kzxg3c
title: GL MTU.mrk.json
DOI: 10.57745/larpbj
title: GM MTU.mrk.json
DOI: 10.57745/aaf50z
title: Segmentation.seg.nrrd
DOI: 10.57745/ytlr4q
title: GAS5.nrrd
DOI: 10.57745/fcunu8
title: GL MTU.mrk.json
DOI: 10.57745/md5wcc
title: GM MTU.mrk.json
DOI: 10.57745/xmrxv7
title: Segmentation.seg.nrrd
DOI: 10.57745/prbwdw
title: BF MTU.mrk.json
DOI: 10.57745/g4yuua
title: IJ1.nrrd
DOI: 10.57745/rdzawz
title: Segmentation.seg.nrrd
DOI: 10.57745/l2unup
title: SM MTU.mrk.json
DOI: 10.57745/gwhirv
title: ST MTU.mrk.json
DOI: 10.57745/a2atsr
title: BF MTU.mrk.json
DOI: 10.57745/4fsaqr
title: IJ2.nrrd
DOI: 10.57745/rmj9fs
title: Segmentation.seg.nrrd
DOI: 10.57745/nm9pjf
title: SM MTU.mrk.json
DOI: 10.57745/i6amqa
title: ST MTU.mrk.json
DOI: 10.57745/euidwv
title: BF MTU.mrk.json
DOI: 10.57745/18hwcq
title: Segmentation.seg.nrrd
DOI: 10.57745/dglqvv
title: IJ3.nrrd
DOI: 10.57745/ahlmaz
title: SM MTU.mrk.json
DOI: 10.57745/biq0xi
title: ST MTU.mrk.json
DOI: 10.57745/pvriac
title: BF MTU.mrk.json
DOI: 10.57745/duqduu
title: IJ4.nrrd
DOI: 10.57745/pxgoqc
title: Segmentation.seg.nrrd
DOI: 10.57745/kpnotu
title: ST MTU.mrk.json
DOI: 10.57745/yj5s5j
title: SM MTU.mrk.json
DOI: 10.57745/0f6yzv
title: BF MTU.mrk.json
DOI: 10.57745/h9f1c5
title: IJ5.nrrd
DOI: 10.57745/4mbavc
title: Segmentation.seg.nrrd
DOI: 10.57745/qqxw1b
title: SM MTU.mrk.json
DOI: 10.57745/a7dvd7
title: ST MTU.mrk.json
DOI: 10.57745/zqegzv
title: RF MTU.mrk.json
DOI: 10.57745/78wvpu
title: RF1.nrrd
DOI: 10.57745/3wavtl
title: Segmentation.seg.nrrd
DOI: 10.57745/etqjrp
title: RF MTU.mrk.json
DOI: 10.57745/iaojuu
title: Segmentation.seg.nrrd
DOI: 10.57745/n0vtjl
title: RF2.nrrd
DOI: 10.57745/tfaivz
title: RF MTU.mrk.json
DOI: 10.57745/jcjkpr
title: RF3.nrrd
DOI: 10.57745/sqes8r
title: Segmentation.seg.nrrd
DOI: 10.57745/jeyzyd
title: RF MTU.mrk.json
DOI: 10.57745/nxboph
title: RF4.nrrd
DOI: 10.57745/jtllsl
title: Segmentation.seg.nrrd
DOI: 10.57745/ao3ftk
title: RF5.nrrd
DOI: 10.57745/v6328k
title: RF MTU.mrk.json
DOI: 10.57745/xw7brc
title: Segmentation.seg.nrrd
DOI: 10.57745/ogkkfh
title: GAS1.nrrd
DOI: 10.57745/fqsbtk
title: GL MTU.mrk.json
DOI: 10.57745/cjpso3
title: Segmentation.seg.nrrd
DOI: 10.57745/o1hegr
title: GM MTU.mrk.json
DOI: 10.57745/5khbfk
title: GAS2a.nrrd
DOI: 10.57745/w0laiz
title: GM MTU.mrk.json
DOI: 10.57745/x5bole
title: GL MTU.mrk.json
DOI: 10.57745/xc87ro
title: Segmentation.seg.nrrd
DOI: 10.57745/tmtll0
title: GAS2b.nrrd
DOI: 10.57745/opcuzc
title: GL MTU.mrk.json
DOI: 10.57745/evn5bx
title: Segmentation.seg.nrrd
DOI: 10.57745/n9pe6p
title: GAS3.nrrd
DOI: 10.15468/dl.htb4tp
title: Occurrence Download

description: A dataset containing 371681 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-91.48918 5.67519,-56.09623 5.67519,-56.09623 30.24087,-91.48918 30.24087,-91.48918 5.67519))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Nymphalidae"
 ]
}

 The dataset includes 371681 records from 231 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006879-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57745/5mkxyg
title: GL MTU.mrk.json
DOI: 10.57745/fbtxur
title: GM MTU.mrk.json
DOI: 10.57745/gzzoen
title: Segmentation.seg.nrrd
DOI: 10.57745/abojoj
title: GAS4.nrrd
DOI: 10.57745/eqkyid
title: GM MTU.mrk.json
DOI: 10.57745/zqwdzm
title: GL MTU.mrk.json
DOI: 10.57745/ewqc5h
title: Segmentation.seg.nrrd
DOI: 10.57745/z7bl8y
title: GAS5.nrrd
DOI: 10.15468/dl.btjy45
title: Occurrence Download

description: A dataset containing 36875 records in GBIF matching the query:

SELECT
countrycode,
 GBIF_ISEA3HCode(
 6, 
 decimalLatitude,
 decimalLongitude,
 COALESCE(coordinateUncertaintyInMeters, 1000) 
 ) AS geogrid_id,
 COUNT(DISTINCT speciesKey) AS unique_species_count
FROM occurrence
WHERE hasgeospatialissues = FALSE
AND hasCoordinate = TRUE
AND occurrenceStatus = 'PRESENT'
GROUP BY countrycode, geogrid_id;


 The dataset's 36875 records were derived from 65351 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006885-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57745/szq6gl
title: GL MTU.mrk.json
DOI: 10.57745/2l6tgj
title: Segmentation.seg.nrrd
DOI: 10.57745/sdpnfa
title: GM MTU.mrk.json
DOI: 10.57745/kj5jb7
title: 10_IJ1_Static.nrrd
DOI: 10.57745/cfwmmo
title: BF MTU.mrk.json
DOI: 10.57745/kdjjsx
title: Segmentation.seg.nrrd
DOI: 10.57745/kur2oo
title: ST MTU.mrk.json
DOI: 10.57745/yhcfvc
title: SM MTU.mrk.json
DOI: 10.57745/e1s26f
title: BF MTU.mrk.json
DOI: 10.57745/c3lsrk
title: IJ2.nrrd
DOI: 10.57745/gubant
title: SM MTU.mrk.json
DOI: 10.57745/ux6tss
title: Segmentation.seg.nrrd
DOI: 10.57745/95omip
title: ST MTU.mrk.json
DOI: 10.57745/q3lu4e
title: BF MTU.mrk.json
DOI: 10.57745/ch7oln
title: IJ3.nrrd
DOI: 10.57745/m4jpjg
title: Segmentation.seg.nrrd
DOI: 10.57745/dau3ri
title: SM MTU.mrk.json
DOI: 10.57745/yrgrsi
title: ST MTU.mrk.json
DOI: 10.57745/dnleeh
title: BF MTU.mrk.json
DOI: 10.15468/dl.czdabd
title: Occurrence Download

description: A dataset containing 8406 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Conservatoire Botanique Pierre Fabre"
 ]
}

 The dataset includes 8406 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006932-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57745/y8wny7
title: IJ4.nrrd
DOI: 10.57745/h2ydbs
title: SM MTU.mrk.json
DOI: 10.57745/mc0cfi
title: Segmentation.seg.nrrd
DOI: 10.57745/k9f5e3
title: ST MTU.mrk.json
DOI: 10.57745/n0h9dq
title: BF MTU.mrk.json
DOI: 10.57745/bb3rsk
title: Segmentation.seg.nrrd
DOI: 10.57745/muqqkf
title: IJ5.nrrd
DOI: 10.57745/npkurp
title: SM MTU.mrk.json
DOI: 10.57745/rpjokt
title: ST MTU.mrk.json
DOI: 10.57745/8sqjni
title: RF MTU.mrk.json
DOI: 10.57745/baouge
title: RF1.nrrd
DOI: 10.57745/k17eff
title: RF MTU.mrk.json
DOI: 10.57745/o4flja
title: Segmentation.seg.nrrd
DOI: 10.57745/mg2rsw
title: RF2.nrrd
DOI: 10.57745/lv1liz
title: Segmentation.seg.nrrd
DOI: 10.57745/hwfkad
title: RF3.nrrd
DOI: 10.57745/icatf0
title: RF MTU.mrk.json
DOI: 10.57745/hjaz6c
title: Segmentation.seg.nrrd
DOI: 10.57745/btaabd
title: RF MTU.mrk.json
DOI: 10.57745/npy48j
title: RF4.nrrd
DOI: 10.57745/6plgcn
title: Segmentation.seg.nrrd
DOI: 10.57745/lyvtmh
title: RF5.nrrd
DOI: 10.57745/qd70og
title: RF MTU.mrk.json
DOI: 10.57745/bumhry
title: Segmentation.seg.nrrd
DOI: 10.57745/ztzjhp
title: GAS1.nrrd
DOI: 10.57745/8mleeu
title: GL MTU.mrk.json
DOI: 10.57745/gehrqp
title: GM MTU.mrk.json
DOI: 10.57745/owybdn
title: Segmentation.seg.nrrd
DOI: 10.57745/f1qg51
title: GAS2a.nrrd
DOI: 10.57745/jd5d9d
title: GL MTU.mrk.json
DOI: 10.57745/8xxztk
title: GM MTU.mrk.json
DOI: 10.57745/c2xpjd
title: Segmentation.seg.nrrd
DOI: 10.57745/tseoeu
title: GAS2b.nrrd
DOI: 10.57745/etsytn
title: GL MTU.mrk.json
DOI: 10.57745/geyi0m
title: GM MTU.mrk.json
DOI: 10.57745/gqgsj3
title: Segmentation.seg.nrrd
DOI: 10.57745/yd5pwh
title: GAS3.nrrd
DOI: 10.57745/1byu4d
title: GL MTU.mrk.json
DOI: 10.57745/cebjfs
title: GM MTU.mrk.json
DOI: 10.57745/tx6smp
title: Segmentation.seg.nrrd
DOI: 10.57745/bl2iwy
title: GL MTU.mrk.json
DOI: 10.57745/kxmmq2
title: GAS4.nrrd
DOI: 10.57745/7mk2pe
title: GM MTU.mrk.json
DOI: 10.57745/yqi8rw
title: Segmentation.seg.nrrd
DOI: 10.57745/aw3ojm
title: GAS5.nrrd
DOI: 10.57745/ssiy0w
title: GL MTU.mrk.json
DOI: 10.57745/kjqg6v
title: GM MTU.mrk.json
DOI: 10.57745/uokveq
title: Segmentation.seg.nrrd
DOI: 10.57745/ehahzw
title: BF MTU.mrk.json
DOI: 10.57745/3ritgd
title: Segmentation.seg.nrrd
DOI: 10.57745/ansrxw
title: IJ1.nrrd
DOI: 10.15128/r3f1881k890
title: Droplet Removal by Capillary Lifting [dataset]

description: The removal of liquid droplets from solid surfaces is central to cleaning, coatings and oil recovery. Here we investigate liquid droplets capillary lifted from surfaces by an immiscible working liquid. The rising working liquid triggers the formation of a capillary bridge between the solid and the air interface, which can lead to full, partial, or no droplet dewetting. Our theoretical model predicts, and experiments confirm, that the effectiveness of droplet removal can be tuned by manipulating the droplet contact angle with the solid and the interfacial tensions at play. Significantly, dewetting can be enhanced by employing working liquids with high interfacial tension, in contrast to common surface cleaning strategies where surfactants are used to reduce interfacial tension. Our findings can open new avenues for droplet manipulation with reduced resources and more sustainable environmental impact.
DOI: 10.57745/1epn0n
title: SM MTU.mrk.json
DOI: 10.57745/0aowfq
title: ST MTU.mrk.json
DOI: 10.57745/96ykiw
title: BF MTU.mrk.json
DOI: 10.57745/mj0oro
title: Segmentation.seg.nrrd
DOI: 10.57745/slmst0
title: IJ2.nrrd
DOI: 10.57745/bzissn
title: SM MTU.mrk.json
DOI: 10.57745/dv73jh
title: ST MTU.mrk.json
DOI: 10.57745/6cmvnl
title: BF MTU.mrk.json
DOI: 10.57745/cafqr5
title: IJ3.nrrd
DOI: 10.57745/p789fa
title: Segmentation.seg.nrrd
DOI: 10.57745/3me823
title: SM MTU.mrk.json
DOI: 10.57745/e4evbc
title: ST MTU.mrk.json
DOI: 10.57745/ncdp5u
title: BF MTU.mrk.json
DOI: 10.57745/wtlrkt
title: IJ4.nrrd
DOI: 10.57745/83wuzv
title: Segmentation.seg.nrrd
DOI: 10.57745/x8xc6c
title: SM MTU.mrk.json
DOI: 10.57745/atgxvj
title: BF MTU.mrk.json
DOI: 10.57745/fj0f2r
title: ST MTU.mrk.json
DOI: 10.57745/iqdubi
title: IJ5.nrrd
DOI: 10.57745/mq2sso
title: Segmentation.seg.nrrd
DOI: 10.57745/px13ly
title: ST MTU.mrk.json
DOI: 10.57745/r35zrm
title: SM MTU.mrk.json
DOI: 10.57745/fsmsix
title: RF MTU.mrk.json
DOI: 10.57745/dc8kbo
title: RF1.nrrd
DOI: 10.57745/gtib9b
title: Segmentation.seg.nrrd
DOI: 10.57745/kpyp35
title: RF MTU.mrk.json
DOI: 10.57745/8uqjrg
title: RF2.nrrd
DOI: 10.57745/wmeovw
title: Segmentation.seg.nrrd
DOI: 10.57745/0ovazb
title: RF MTU.mrk.json
DOI: 10.57745/6jh44g
title: RF3.nrrd
DOI: 10.57745/a7l880
title: Segmentation.seg.nrrd
DOI: 10.57745/fqiaqv
title: RF MTU.mrk.json
DOI: 10.57745/brzfws
title: RF4.nrrd
DOI: 10.57745/zrzxd5
title: Segmentation.seg.nrrd
DOI: 10.15468/dl.gqd4cp
title: Occurrence Download

description: A dataset containing 92 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Allium paradoxum",
 "Country is Austria",
 "HasCoordinate is true"
 ]
}

 The dataset includes 92 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006934-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57745/6mrqd1
title: RF MTU.mrk.json
DOI: 10.57745/lipyw4
title: RF5.nrrd
DOI: 10.57745/6n43q5
title: Segmentation.seg.nrrd
DOI: 10.57745/9thg7j
title: S01_GAS1_Static.c3d
DOI: 10.57745/uis103
title: S01_GAS1_Static_test.c3d
DOI: 10.57745/no10dv
title: S01_GAS2a_APF.c3d
DOI: 10.57745/juq7zv
title: S01_GAS2b_KF.c3d
DOI: 10.57745/qsl1uw
title: S01_GAS4_KF_ADF.c3d
DOI: 10.57745/udoyvs
title: S01_GAS3_ADF.c3d
DOI: 10.57745/rkcxho
title: S01_GAS5_Stand.c3d
DOI: 10.57745/56wgsr
title: S01_IJ1_Static.c3d
DOI: 10.57745/85kfhc
title: S01_IJ2_KF.c3d
DOI: 10.57745/idryt8
title: S01_IJ1_Static_test.c3d
DOI: 10.57745/45yfn3
title: S01_IJ3_HF.c3d
DOI: 10.15468/dl.nhy5wp
title: Occurrence Download

description: A dataset containing 3818 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-74.60961 -8.430939, -74.51633 -8.430939, -74.51633 -8.349728, -74.60961 -8.349728, -74.60961 -8.430939))",
 "Year is greater than or equal to 2013",
 "HasGeospatialIssue is false",
 "TaxonKey is Aves",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 3818 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001584-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fws86a
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sibon perissostichon Köhler, Lotzkat & Hertz, 2010"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001585-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s3ks3a
title: Occurrence Download

description: A dataset containing 850 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"TAXON_KEY","value":"1315391","matchCase":false},{"type":"equals","key":"OCCURRENCE_STATUS","value":"PRESENT","matchCase":false},{"type":"equals","key":"HAS_COORDINATE","value":"true","matchCase":false},{"type":"equals","key":"HAS_GEOSPATIAL_ISSUE","value":"false","matchCase":false},{"type":"lessThan","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"in","key":"YEAR","values":["2008","2009","2010","2011","2012","2013","2014","2015","2016","2017","2018","2019","2020","2021","2022","2023","2024"],"matchCase":false},{"type":"in","key":"BASIS_OF_RECORD","values":["LIVING_SPECIMEN","HUMAN OBSERVATION","OBSERVATION","OCCURRENCE","MACHINE_OBSERVATION"],"matchCase":false}]}

 The dataset includes 850 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001586-241024112534372/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.27247158
title: Datasets for "A chromosomal-level genome assembly of <i>Begonia fimbristipula</i> (Begoniaceae)"

description: This species is native to southeastern China, including Zhejiang, Jiangxi, Hunan, Fujian, Guangdong, Guangxi, Hainan, and Hong Kong. It holds significant economic value as both a medicinal and food source. However, it is under threat due to climate change and human activities, particularly the local preference for using it to make tea.
DOI: 10.15468/dl.vzwak9
title: Occurrence Download

description: A dataset containing 5806 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"TAXON_KEY","value":"1316908","matchCase":false},{"type":"equals","key":"OCCURRENCE_STATUS","value":"PRESENT","matchCase":false},{"type":"equals","key":"HAS_COORDINATE","value":"true","matchCase":false},{"type":"equals","key":"HAS_GEOSPATIAL_ISSUE","value":"false","matchCase":false},{"type":"lessThan","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"in","key":"YEAR","values":["2008","2009","2010","2011","2012","2013","2014","2015","2016","2017","2018","2019","2020","2021","2022","2023","2024"],"matchCase":false},{"type":"in","key":"BASIS_OF_RECORD","values":["LIVING_SPECIMEN","HUMAN OBSERVATION","OBSERVATION","OCCURRENCE","MACHINE_OBSERVATION"],"matchCase":false}]}

 The dataset includes 5806 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001589-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.