cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57745/ik1ep4
title: Segmentation.seg.nrrd
DOI: 10.57745/ipv8hs
title: Segmentation.seg.nrrd
DOI: 10.57745/oujq58
title: Table.tab
DOI: 10.57745/r8szpb
title: Table.tab
DOI: 10.57745/uopkrf
title: Segmentation.seg.nrrd
DOI: 10.57745/vy7x94
title: Segmentation.seg.nrrd
DOI: 10.57745/w18ov8
title: Table.tab
DOI: 10.57745/zv5mxc
title: Segmentation.seg.nrrd
DOI: 10.57745/1ajn82
title: Table.tab
DOI: 10.57745/3s8n9v
title: Segmentation.seg.nrrd
DOI: 10.57745/6peoqj
title: Table.tab
DOI: 10.57745/becqek
title: Segmentation.seg.nrrd
DOI: 10.57745/binwpu
title: Table.tab
DOI: 10.57745/efcibk
title: Segmentation.seg.nrrd
DOI: 10.57745/h4jo6h
title: Table.tab
DOI: 10.57745/lvb4xq
title: Segmentation.seg.nrrd
DOI: 10.57745/p4sinb
title: Segmentation.seg.nrrd
DOI: 10.57745/tv2bvw
title: Table.tab
DOI: 10.57745/v7xh8b
title: Table.tab
DOI: 10.57745/wowgvd
title: Segmentation.seg.nrrd
DOI: 10.57745/3puspp
title: Segmentation.seg.nrrd
DOI: 10.57745/a9elol
title: Table.tab
DOI: 10.57745/bvu80q
title: Table.tab
DOI: 10.57745/cmlubm
title: Segmentation.seg.nrrd.nrrd
DOI: 10.57745/fbmj9c
title: Segmentation.seg.nrrd
DOI: 10.57745/fxh9ei
title: Segmentation.seg.nrrd
DOI: 10.57745/gmrfty
title: Table.tab
DOI: 10.57745/npdzft
title: Segmentation.seg.nrrd
DOI: 10.57745/owg1xz
title: Table.tab
DOI: 10.57745/ro7xrz
title: Segmentation.seg.nrrd
DOI: 10.57745/x8xcxb
title: Table.tab
DOI: 10.57745/xbrbck
title: Table.tab
DOI: 10.57745/y4vtaj
title: Table.tab
DOI: 10.57745/6vvsb2
title: Table.tab
DOI: 10.57745/b7iqjp
title: Table.tab
DOI: 10.57745/eyu7pq
title: Segmentation.seg.nrrd
DOI: 10.57745/jtssnn
title: Segmentation.seg.nrrd
DOI: 10.57745/laxgdw
title: Segmentation.seg.nrrd
DOI: 10.57745/oll0jg
title: Table.tab
DOI: 10.57745/slpc1s
title: Table.tab
DOI: 10.57745/t5elhe
title: Segmentation.seg.nrrd
DOI: 10.57745/tjnx70
title: Segmentation.seg.nrrd
DOI: 10.57745/zuvfgv
title: Segmentation.seg.nrrd
DOI: 10.57745/zw139j
title: Table.tab
DOI: 10.57745/0mzz1s
title: Table.tab
DOI: 10.57745/6dllxu
title: Table.tab
DOI: 10.57745/8ao5xf
title: Table.tab
DOI: 10.57745/bmahhu
title: Table.tab
DOI: 10.57745/ck1vj5
title: Segmentation.seg.nrrd
DOI: 10.57745/cx2qfd
title: Table.tab
DOI: 10.57745/e3sui6
title: Segmentation.seg.nrrd
DOI: 10.57745/gbefmg
title: Segmentation.seg.nrrd
DOI: 10.57745/ggvedq
title: Segmentation.seg.nrrd
DOI: 10.57745/is2krh
title: Table.tab
DOI: 10.57745/o5h8be
title: Segmentation.seg.nrrd
DOI: 10.57745/qtcedh
title: Table.tab
DOI: 10.57745/rd7ast
title: Segmentation.seg.nrrd
DOI: 10.57745/tlitrb
title: Segmentation.seg.nrrd
DOI: 10.57745/az5nvt
title: Table.tab
DOI: 10.57745/fipz6s
title: Segmentation.seg.nrrd
DOI: 10.57745/grywba
title: Segmentation.seg.nrrd
DOI: 10.57745/jeniul
title: Table.tab
DOI: 10.57745/ntx7er
title: Segmentation.seg.nrrd
DOI: 10.57745/oj2zv2
title: Segmentation.seg.nrrd
DOI: 10.57745/oprmg2
title: Table.tab
DOI: 10.57745/otalg5
title: Table.tab
DOI: 10.57745/qjqfhu
title: Table.tab
DOI: 10.57745/qqdetw
title: Segmentation.seg.nrrd
DOI: 10.57745/uzvcdl
title: Table.tab
DOI: 10.57745/xywbpz
title: Segmentation.seg.nrrd
DOI: 10.57745/ypkuiv
title: Table.tab
DOI: 10.57745/2h4liq
title: Segmentation.seg.nrrd
DOI: 10.57745/5ctx8w
title: Segmentation.seg.nrrd
DOI: 10.57745/aibchn
title: Segmentation.seg.nrrd
DOI: 10.57745/bq8rww
title: Segmentation.seg.nrrd
DOI: 10.57745/fjxd4s
title: Segmentation.seg.nrrd
DOI: 10.57745/gjvjog
title: Table.tab
DOI: 10.57745/ifyohz
title: Table.tab
DOI: 10.57745/jslamb
title: Table.tab
DOI: 10.57745/m9wgtt
title: Table.tab
DOI: 10.57745/t4mtrw
title: Table.tab
DOI: 10.57745/tzgduq
title: Table.tab
DOI: 10.57745/xvhglr
title: Segmentation.seg.nrrd
DOI: 10.57745/csupnr
title: Segmentation.seg.nrrd
DOI: 10.57745/d6ewiy
title: Table.tab
DOI: 10.57745/edsnh6
title: Segmentation.seg.nrrd
DOI: 10.57745/izdjq2
title: Segmentation.seg.nrrd
DOI: 10.57745/kalbyz
title: Table.tab
DOI: 10.57745/kehhn8
title: Table.tab
DOI: 10.57745/kkko1p
title: Segmentation.seg.nrrd
DOI: 10.57745/lqaolk
title: Segmentation.seg.nrrd
DOI: 10.57745/o31uby
title: Table.tab
DOI: 10.57745/rpcq7n
title: Segmentation.seg.nrrd
DOI: 10.57745/ust3nf
title: Segmentation.seg.nrrd
DOI: 10.57745/v3cqik
title: Table.tab
DOI: 10.15468/dl.7j5ghx
title: Occurrence Download

description: A dataset containing 1991 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-3.7187 54.06882,-2.26932 54.08787,-2.23626 54.97889,-2.4566 54.98149,-3.75884 54.98755,-3.7187 54.06882))",
 "HasGeospatialIssue is false",
 "TaxonKey is Sciurus vulgaris Linnaeus, 1758",
 "Year 1980-2025"
 ]
}

 The dataset includes 1991 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069304-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57745/68x3gt
title: Table.tab
DOI: 10.57745/aakfnw
title: Table.tab
DOI: 10.57745/ahnmh2
title: Segmentation.seg.nrrd
DOI: 10.57745/fhehjv
title: Table.tab
DOI: 10.57745/l9lvjr
title: Segmentation.seg.nrrd
DOI: 10.57745/qggmlk
title: Segmentation.seg.nrrd
DOI: 10.57745/svmksi
title: Table.tab
DOI: 10.57745/tfegve
title: Segmentation.seg.nrrd
DOI: 10.57745/um0k0h
title: Segmentation.seg.nrrd
DOI: 10.57745/vo3kyz
title: Table.tab
DOI: 10.57745/3rlnpu
title: Table.tab
DOI: 10.57745/4kvkiy
title: Segmentation.seg.nrrd
DOI: 10.57745/5xnrhp
title: Segmentation.seg.nrrd
DOI: 10.57745/c4ebmd
title: Table.tab
DOI: 10.57745/h0jnsp
title: Table.tab
DOI: 10.57745/nbmrsy
title: Segmentation.seg.nrrd
DOI: 10.57745/s0f0xd
title: Table.tab
DOI: 10.57745/umiyzt
title: Segmentation.seg.nrrd
DOI: 10.57745/yuckil
title: Table.tab
DOI: 10.57745/yyiwob
title: Segmentation.seg.nrrd
DOI: 10.57745/3dbrhi
title: Table.tab
DOI: 10.57745/3sesuq
title: Table.tab
DOI: 10.57745/6ttafp
title: Segmentation.seg.nrrd
DOI: 10.57745/bsimxl
title: Table.tab
DOI: 10.57745/cvvszh
title: Segmentation.seg.nrrd
DOI: 10.57745/gkprca
title: Table.tab
DOI: 10.57745/l3fuyk
title: Table.tab
DOI: 10.57745/lsgc5t
title: Segmentation.seg.nrrd
DOI: 10.57745/m6lhy0
title: Segmentation.seg.nrrd
DOI: 10.57745/n9z2l0
title: Segmentation.seg.nrrd
DOI: 10.57745/neezxm
title: Table.tab
DOI: 10.57745/ouujty
title: Table.tab
DOI: 10.57745/twohqd
title: Segmentation.seg.nrrd
DOI: 10.57745/zmectc
title: Table.tab
DOI: 10.57745/a9djcg
title: Table.tab
DOI: 10.57745/basksw
title: Segmentation.seg.nrrd
DOI: 10.57745/drds5b
title: Segmentation.seg.nrrd
DOI: 10.57745/firu5j
title: Table.tab
DOI: 10.57745/hmnchh
title: Segmentation.seg.nrrd
DOI: 10.57745/hnkisv
title: Segmentation.seg.nrrd
DOI: 10.57745/ie1ewc
title: Segmentation.seg.nrrd
DOI: 10.57745/io9rw6
title: Table.tab
DOI: 10.57745/jqwuw1
title: Segmentation.seg.nrrd
DOI: 10.57745/ujoqzt
title: Table.tab
DOI: 10.57745/vytxdw
title: Segmentation.seg.nrrd
DOI: 10.57745/w0514k
title: Table.tab
DOI: 10.57745/wfgc1x
title: Table.tab
DOI: 10.57745/8aowce
title: Table.tab
DOI: 10.57745/bmcdwh
title: Segmentation.seg.nrrd
DOI: 10.57745/dcpf56
title: Segmentation.seg.nrrd
DOI: 10.57745/eqpz47
title: Table.tab
DOI: 10.57745/ghfetb
title: Segmentation.seg.nrrd
DOI: 10.57745/ix6sws
title: Table.tab
DOI: 10.57745/kodczs
title: Table.tab
DOI: 10.57745/kukatr
title: Table.tab
DOI: 10.57745/qrivss
title: Segmentation.seg.nrrd
DOI: 10.57745/st9rq3
title: Table.tab
DOI: 10.57745/tyu9m7
title: Segmentation.seg.nrrd
DOI: 10.57745/z2mxl0
title: Segmentation.seg.nrrd
DOI: 10.57745/3ifjrh
title: Table.tab
DOI: 10.57745/61gxob
title: Segmentation.seg.nrrd
DOI: 10.57745/cqt2vh
title: Segmentation.seg.nrrd
DOI: 10.57745/eo2wrc
title: Table.tab
DOI: 10.57745/eqncxz
title: Table.tab
DOI: 10.57745/mkrscs
title: Segmentation.seg.nrrd
DOI: 10.57745/mn5tox
title: Table.tab
DOI: 10.57745/mwnpbj
title: Table.tab
DOI: 10.57745/qeywbf
title: Segmentation.seg.nrrd
DOI: 10.57745/qfj2rq
title: Table.tab
DOI: 10.57745/rjm5lq
title: Table.tab
DOI: 10.57745/rsy0ap
title: Segmentation.seg.nrrd
DOI: 10.57745/smm8cm
title: Segmentation.seg.nrrd
DOI: 10.57745/w53h7f
title: Segmentation.seg.nrrd
DOI: 10.57745/yaxvhm
title: Table.tab
DOI: 10.57745/5ayngf
title: Table.tab
DOI: 10.57745/7qntq7
title: Segmentation.seg.nrrd
DOI: 10.57745/fbapjh
title: Segmentation.seg.nrrd
DOI: 10.57745/gbdlsi
title: Table.tab
DOI: 10.57745/hufxcd
title: Segmentation.seg.nrrd
DOI: 10.57745/lrkl1b
title: Table.tab
DOI: 10.57745/myvwpg
title: Table.tab
DOI: 10.57745/ocse3s
title: Segmentation.seg.nrrd
DOI: 10.57745/pksvhq
title: Segmentation.seg.nrrd
DOI: 10.57745/sivthw
title: Segmentation.seg.nrrd
DOI: 10.57745/uojpab
title: Table.tab
DOI: 10.57745/abgukb
title: Segmentation.seg.nrrd
DOI: 10.57745/clfonb
title: Table.tab
DOI: 10.57745/dh0wbl
title: Table.tab
DOI: 10.57745/e06k5g
title: Table.tab
DOI: 10.57745/ec9bax
title: Table.tab
DOI: 10.57745/hi7oxd
title: Table.tab
DOI: 10.57745/kmtmoj
title: Table.tab
DOI: 10.57745/kzcmeu
title: Table.tab
DOI: 10.57745/lvtruu
title: Segmentation.seg.nrrd
DOI: 10.57745/npfzyw
title: Segmentation.seg.nrrd
DOI: 10.57745/rhm42a
title: Segmentation.seg.nrrd
DOI: 10.57745/rqbcdk
title: Segmentation.seg.nrrd
DOI: 10.57745/xizsiu
title: Segmentation.seg.nrrd
DOI: 10.57745/3wcwvg
title: Table.tab
DOI: 10.57745/6nlsku
title: Table.tab
DOI: 10.57745/6vgmyj
title: Segmentation.seg.nrrd
DOI: 10.57745/9n9d9c
title: Segmentation.seg.nrrd
DOI: 10.57745/a3xr9x
title: Table.tab
DOI: 10.57745/aoovvv
title: Table.tab
DOI: 10.57745/bym6hf
title: Table.tab
DOI: 10.57745/dol40b
title: Segmentation.seg.nrrd
DOI: 10.57745/mmmdxs
title: Segmentation.seg.nrrd
DOI: 10.57745/orc5z4
title: Segmentation.seg.nrrd
DOI: 10.57745/smhd5u
title: Table.tab
DOI: 10.57745/uhvqer
title: Segmentation.seg.nrrd
DOI: 10.57745/xr7mmd
title: Segmentation.seg.nrrd
DOI: 10.57745/z4sqnb
title: Segmentation.seg.nrrd
DOI: 10.57745/zmka6l
title: Table.tab
DOI: 10.57745/6zlxza
title: Table.tab
DOI: 10.57745/7xiwmo
title: Segmentation.seg.nrrd
DOI: 10.57745/aktpnn
title: Segmentation.seg.nrrd
DOI: 10.57745/c20prh
title: Segmentation.seg.nrrd
DOI: 10.57745/hpoxlm
title: Table.tab
DOI: 10.57745/kp7wyj
title: Table.tab
DOI: 10.57745/nc7ymm
title: Segmentation.seg.nrrd
DOI: 10.57745/s5rxrt
title: Table.tab
DOI: 10.57745/waydpp
title: Segmentation.seg.nrrd
DOI: 10.57745/yjgpvl
title: Table.tab
DOI: 10.57745/ynsl2m
title: Table.tab
DOI: 10.57745/zemyl9
title: Segmentation.seg.nrrd
DOI: 10.57745/zoxavx
title: Segmentation.seg.nrrd
DOI: 10.57745/0mln5f
title: Segmentation.seg.nrrd
DOI: 10.57745/43leqp
title: Table.tab
DOI: 10.57745/fnnymi
title: Segmentation.seg.nrrd
DOI: 10.57745/ga5vvb
title: Table.tab
DOI: 10.57745/gca7lp
title: Table.tab
DOI: 10.57745/knlyoe
title: Table.tab
DOI: 10.57745/lzgxsi
title: Segmentation.seg.nrrd
DOI: 10.57745/nt4kg1
title: Table.tab
DOI: 10.57745/op2byq
title: Table.tab
DOI: 10.57745/qz7jcr
title: Segmentation.seg.nrrd
DOI: 10.57745/ro1qdm
title: Segmentation.seg.nrrd
DOI: 10.57745/t62r58
title: Table.tab
DOI: 10.57745/vfbrre
title: Segmentation.seg.nrrd
DOI: 10.57745/ykit2n
title: Table.tab
DOI: 10.57745/3u3pq3
title: Segmentation.seg.nrrd
DOI: 10.57745/8dtxrt
title: Table.tab
DOI: 10.57745/hfxhai
title: Segmentation.seg.nrrd
DOI: 10.57745/iegrfw
title: Segmentation.seg.nrrd
DOI: 10.57745/lzpj9v
title: Table.tab
DOI: 10.57745/mj6iql
title: Table.tab
DOI: 10.57745/qjolvx
title: Segmentation.seg.nrrd
DOI: 10.57745/qts9ud
title: Segmentation.seg.nrrd
DOI: 10.57745/r9mw0a
title: Segmentation.seg.nrrd
DOI: 10.57745/sb9ydd
title: Table.tab
DOI: 10.57745/tukpzu
title: Table.tab
DOI: 10.57745/x09mxx
title: Segmentation.seg.nrrd
DOI: 10.57745/x5vpuo
title: Table.tab
DOI: 10.5281/zenodo.10934104
title: Data for Infra Finder

description: This dataset underlies the Infra Finder application (https://infrafinder.investinopen.org) and will be periodically versioned to reflect the latest changes to Infra Finder.

This dataset comprises 3 files in CSV format.

infrafinder_data_download_release-1.0_april_2024.csv contains processed data collected as described in the methodological information section below.

infrafinder_variable_definitions_2024.csv contains a data dictionary with definitions of all variables.

infrafinder_controlled_lists_2024.csv contains a supplemental data dictionary with definitions for controlled lists used for certain variables.
DOI: 10.57745/0txito
title: Segmentation.seg.nrrd
DOI: 10.57745/8bebzu
title: Table.tab
DOI: 10.57745/curcuz
title: Table.tab
DOI: 10.57745/ezfz2j
title: Segmentation.seg.nrrd
DOI: 10.57745/hjms3t
title: README.md
DOI: 10.57745/iohy68
title: Table.tab
DOI: 10.57745/k9bdfr
title: Segmentation.seg.nrrd
DOI: 10.57745/qcqkfc
title: Table.tab
DOI: 10.57745/qhi8dp
title: Table.tab
DOI: 10.57745/s9dsxw
title: README.md

description: :unav
DOI: 10.57745/uczjsa
title: Segmentation.seg.nrrd
DOI: 10.57745/zgwoac
title: Segmentation.seg.nrrd
DOI: 10.5281/zenodo.14647337
title: Data for Infra Finder

description: This dataset underlies the Infra Finder application (https://infrafinder.investinopen.org) and will be periodically versioned to reflect the latest changes to Infra Finder.

This dataset comprises 3 files in CSV format.

infrafinder_data_download_release-2.0_jan_2025.csv contains processed data collected as described in the methodological information section below.

infrafinder_variable_definitions_jan_2025.csv contains a data dictionary with definitions of all variables.

infrafinder_controlled_lists_jan_2025.csv contains a supplemental data dictionary with definitions for controlled lists used for certain variables.

This dataset also contains a README file (Infra-Finder-Data_jan_2025_README.txt) which contains authorship, sharing information, a data overview, and methodological information.
DOI: 10.5281/zenodo.14647374
title: Firmus (pt 1)

description: First 81 scoring sheets of male-male interactions between Gryllus firmus individuals
DOI: 10.5281/zenodo.14647375
title: Firmus (pt 1)

description: First 81 scoring sheets of male-male interactions between Gryllus firmus individuals
DOI: 10.6084/m9.figshare.28205030
title: BE grizzly interview and focus group guides

description: Grizzly BE interview and focus group guides.
DOI: 10.15468/dl.xqm7e3
title: Occurrence Download

description: A dataset containing 41089 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "TaxonKey is Phoenicopterus ruber Linnaeus, 1758"
 ]
}

 The dataset includes 41089 records from 58 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069305-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tudexu
title: Occurrence Download

description: A dataset containing 1246 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Diaporthe phaseolorum (Cooke & Ellis) Sacc."
 ]
}

 The dataset includes 1246 records from 52 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069307-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13882510
title: Dataset for Polarized Signatures of the Earth Through Time: An Outlook for the Habitable Worlds Observatory

description: The search for life beyond the Solar System remains a primary goal of current and near-future missions, including NASA's upcoming Habitable Worlds Observatory (HWO). However, research into determining the habitability of terrestrial exoplanets has been primarily focused on comparisons to modern-day Earth. Additionally, current characterization strategies focus on the unpolarized flux from these worlds, taking into account only a fraction of the informational content of the reflected light. Better understanding the changes in the reflected light spectrum of the Earth throughout its evolution, as well as analyzing its polarization, will be crucial for mapping its habitability and providing comparison templates to potentially habitable exoplanets. Here we present spectropolarimetric models of the reflected light from the Earth at six epochs across all four geologic eons. We find that the changing surface albedos and atmospheric gas concentrations across the different epochs allow the habitable and non-habitable scenarios to be distinguished, and diagnostic features of clouds and hazes are more noticeable in the polarized signals. We show that common simplifications for exoplanet modeling, including Mie scattering for fractal particles, affect the resulting planetary signals and can lead to non-physical features. Finally, our results suggest that pushing the HWO planet-to-star flux contrast limit down to 1 $\times$ 10$^{-13}$ could allow for the characterization in both unpolarized and polarized light of an Earth-like planet at any stage in its history.

This dataset contains all modeled spectropolarimetric signatures used to conduct this work. Each .zip file contains the output folders for one of the four eons: Hadean, Archean, Proterozoic, and Phanerozoic (i.e., Modern). Each of these top-level folders then contains individual folders for each specific model run. The names for each of these individual folders describes the specific model. Finally, each individual folder then contains files for the spectropolarimetric signatures, where each file contains four columns of data representing the spectra for that specific model at that specific planetary phase angle. Please refer to the README.txt as well as the accompanying manuscript for more information.

Version 2 of this dataset includes the updated models for the Archean Earth with hazy atmospheres that now extend their spectra from the original 1.2um limit to 1.8um.
DOI: 10.5281/zenodo.14647278
title: Dataset for Polarized Signatures of the Earth Through Time: An Outlook for the Habitable Worlds Observatory

description: The search for life beyond the Solar System remains a primary goal of current and near-future missions, including NASA's upcoming Habitable Worlds Observatory (HWO). However, research into determining the habitability of terrestrial exoplanets has been primarily focused on comparisons to modern-day Earth. Additionally, current characterization strategies focus on the unpolarized flux from these worlds, taking into account only a fraction of the informational content of the reflected light. Better understanding the changes in the reflected light spectrum of the Earth throughout its evolution, as well as analyzing its polarization, will be crucial for mapping its habitability and providing comparison templates to potentially habitable exoplanets. Here we present spectropolarimetric models of the reflected light from the Earth at six epochs across all four geologic eons. We find that the changing surface albedos and atmospheric gas concentrations across the different epochs allow the habitable and non-habitable scenarios to be distinguished, and diagnostic features of clouds and hazes are more noticeable in the polarized signals. We show that common simplifications for exoplanet modeling, including Mie scattering for fractal particles, affect the resulting planetary signals and can lead to non-physical features. Finally, our results suggest that pushing the HWO planet-to-star flux contrast limit down to 1 $\times$ 10$^{-13}$ could allow for the characterization in both unpolarized and polarized light of an Earth-like planet at any stage in its history.

This dataset contains all modeled spectropolarimetric signatures used to conduct this work. Each .zip file contains the output folders for one of the four eons: Hadean, Archean, Proterozoic, and Phanerozoic (i.e., Modern). Each of these top-level folders then contains individual folders for each specific model run. The names for each of these individual folders describes the specific model. Finally, each individual folder then contains files for the spectropolarimetric signatures, where each file contains four columns of data representing the spectra for that specific model at that specific planetary phase angle. Please refer to the README.txt as well as the accompanying manuscript for more information.

Version 2 of this dataset includes the updated models for the Archean Earth with hazy atmospheres that now extend their spectra from the original 1.2um limit to 1.8um.
DOI: 10.15468/dl.k2de5z
title: Occurrence Download

description: A dataset containing 10121 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Phomopsis (Sacc.) Bubák, 1905"
 ]
}

 The dataset includes 10121 records from 152 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069308-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qs5tzn
title: Occurrence Download

description: A dataset containing 34345 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Diaporthe Nitschke, 1870"
 ]
}

 The dataset includes 34345 records from 266 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069309-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r9bsma
title: Occurrence Download

description: A dataset containing 3936 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Sclerotinia sclerotiorum (Lib.) de Bary, Ascocoryne cylichnium (Tul.) Korf)",
 "Geometry POLYGON((-9.36035 44.71551,-10.59082 42.81152,-11.82129 36.80928,-7.69043 36.17336,-3.38379 35.88905,3.12012 38.13456,9.18457 38.20366,11.7334 37.16032,12.78809 34.74161,17.09473 33.79741, 23.15918 34.23451,30.10254 32.62087,33.2666 32.99024,35.72754 35.03,33.00293 35.53223,28.69629 35.17381,28.34473 36.31513,25.7959 37.50973,24.91699 39.90974,28.78418 40.6473,30.71777 41.17865,36.87012 45.213,38.18848 46.98025,38.71582 47.7541,39.94629 47.93107,40.20996 49.61071,37.0459 50.34546,35.72754 50.40152,33.79395 52.26816,31.68457 51.94426,31.4209 53.27835,32.56348 53.43572,30.98145 54.77535,30.89355 55.52863,28.43262 56.02295,27.20215 57.65716,27.37793 58.30949,27.90527 59.17593,29.66309 59.88894,27.6416 60.58697,31.50879 62.75473,28.78418 69.83962,30.89355 70.28912,29.22363 71.55274,21.75293 71.30079,14.28223 70.14036,11.38184 67.47492,4.87793 63.66576,-5.53711 71.52491,-10.63477 71.69129,-21.5332 67.74276,-28.56445 65.36684,-24.3457 61.35461,-9.36035 44.71551))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2021"
 ]
}

 The dataset includes 3936 records from 115 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0163919-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r9tkdn
title: Occurrence Download

description: A dataset containing 390 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Otomys denti Thomas, 1906"
 ]
}

 The dataset includes 390 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0349988-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8ywm37
title: Occurrence Download

description: A dataset containing 834 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Geomys arenarius Merriam, 1895"
 ]
}

 The dataset includes 834 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005199-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.