cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/icpsr24051.v1
title: Federal Justice Statistics Program: Defendants Sentenced Under the Sentencing Reform Act, 1997 [United States]
title: Version 1

description: These data contain records of criminal defendants who were sentenced pursuant to provisions of the Sentencing Reform Act (SRA) of 1984 and reported to the United States Sentencing Commission (USSC) during fiscal year 1997. It is estimated that over 90 percent of felony defendants in the federal criminal justice system are sentenced pursuant to the SRA of 1984. The data were obtained from the United States Sentencing Commission's Office of Policy Analysis' (OPA) Standardized Research Data File. The Standardized Research Data File consists of variables from the Monitoring Department's database, which is limited to those defendants whose records have been furnished to the USSC by United States district courts and United States magistrates, as well as variables created by the OPA specifically for research purposes. The data include variables from the Judgement and Conviction (J and C) order submitted by the court, background and guideline information collected from the Presentencing Report (PSR), and the report on sentencing hearing in the Statement of Reasons (SOR). These data contain detailed information such as the guideline base offense level, offense level adjustments, criminal history, departure status, statement of reasons given for departure, and basic demographic information. These data are the primary analysis file and include only statute, guideline computation, and adjustment variables for the most serious offense of conviction. These data are part of a series designed by the Urban Institute (Washington, DC) and the Bureau of Justice Statistics. Data and documentation were prepared by the Urban Institute.
description: ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection: Created variable labels and/or value labels..
description: Datasets: 
 
 DS1: Dataset
description: Federal Justice Statistics Program Data Series
description: Defendants sentenced pursuant to provisions of the Sentencing Reform Act (SRA) of 1984 and reported to the United States Sentencing Commission during fiscal year 1997.
DOI: 10.3886/icpsr24051.v2
title: Federal Justice Statistics Program: Defendants Sentenced Under the Sentencing Reform Act, 1997 [United States]
title: Version 2

description: These data contain records of criminal defendants who were sentenced pursuant to provisions of the Sentencing Reform Act (SRA) of 1984 and reported to the United States Sentencing Commission (USSC) during fiscal year 1997. It is estimated that over 90 percent of felony defendants in the federal criminal justice system are sentenced pursuant to the SRA of 1984. The data were obtained from the United States Sentencing Commission's Office of Policy Analysis' (OPA) Standardized Research Data File. The Standardized Research Data File consists of variables from the Monitoring Department's database, which is limited to those defendants whose records have been furnished to the USSC by United States district courts and United States magistrates, as well as variables created by the OPA specifically for research purposes. The data include variables from the Judgement and Conviction (J and C) order submitted by the court, background and guideline information collected from the Presentencing Report (PSR), and the report on sentencing hearing in the Statement of Reasons (SOR). These data contain detailed information such as the guideline base offense level, offense level adjustments, criminal history, departure status, statement of reasons given for departure, and basic demographic information. These data are the primary analysis file and include only statute, guideline computation, and adjustment variables for the most serious offense of conviction. These data are part of a series designed by the Urban Institute (Washington, DC) and the Bureau of Justice Statistics. Data and documentation were prepared by the Urban Institute.
description: Datasets: DS1: Federal Justice Statistics Program: Defendants Sentenced Under the Sentencing Reform Act, 1997 [United States]
description: Defendants sentenced pursuant to provisions of the Sentencing Reform Act (SRA) of 1984 and reported to the United States Sentencing Commission during fiscal year 1997.
DOI: 10.15468/dl.tt367w
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Phlomoides sanglechensis (Rech.f.) Kamelin & Makhm."
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035575-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48544/48a43021-ef93-490e-b8c7-ffaa32414329
title: INPRO CF Hanze
DOI: 10.15468/dl.8zh4c3
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is one of (Phlomoides schugnanica (Popov) Adylov, Kamelin & Makhm., Phlomoides sarawschanica (Regel) Adylov, Kamelin & Makhm.)"
 ]
}

 The dataset includes 5 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035576-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xksrwg
title: Occurrence Download

description: A dataset containing 107905338 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Artportalen"
 ]
}

 The dataset includes 107905338 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035572-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13860228
title: Influence of magnetohydrodynamics configuration on aerothermodynamics during Martian re-entry

description: This paper investigates the role of magnetohydrodynamics (MHD) on the aerothermodynamics (ATD) of a representative entry vehicle while flying into the Martian atmosphere. By strategically placing a flight-ready superconducting magnet at varied positions in the Schiaparelli reentry capsule of the ExoMars mission, we discern its impact on essential flow properties. The primary consequence of MHD during atmospheric entry is the generation of the Lorentz force, which increases the shock standoff distance resulting in a reduction of the heat flux on the spacecraft by pushing high-energy plasma particles away. Through different magnet configurations, three distinct cases are formed to comprehensively understand the effects and implications of each setup. The study is performed using the COOLFluiD MHD for EnTries, an in-house ATD solver. For case 1, the magnet's placement behind the ExoMars forebody at the stagnation point reduces the heat flux. In case 2, the magnet's relocation to the shoulder region explores its potential to mitigate communication blackouts by influencing the wake region's flow. However, this positioning also induces shock bending, leading to variations in post-shock species mass fractions and heat flux spikes in the post-shock region. Case 3, involving an additional magnet where the shock bends in case 1, showcases a consistent increase in shock standoff distance across the forebody, providing a longer relaxation zone for species equilibration. Our findings highlight that while the strength of the applied magnetic field is crucial, the magnet's size is equally pivotal in determining ATD behavior. Case 3 emerges as the most promising configuration, consistently reducing heat flux across the forebody and maintaining it in the afterbody. This study underscores the potential of multi-magnet configurations as next-generation MHD heat shields for Martian atmospheric entry, emphasizing the criticality of magnet placement and configuration in enabling future MHD-enhanced deep space exploration missions.
DOI: 10.5281/zenodo.13323441
title: The dataset of DOM events flakiness issues in web tests
DOI: 10.5281/zenodo.13323442
title: The dataset of DOM events flakiness issues in web tests
DOI: 10.5281/zenodo.13862284
title: The dataset of DOM events flakiness issues in web tests
DOI: 10.6084/m9.figshare.27135573
title: SEXPRIME_submitted.xlsx

description: Kelps are ecologically and economically important species, serving various purposes such as in the production of food, fertilizer, and bioplastics. As climate change alters ocean temperatures, optimization of kelp hatchery practices is essential for enhancing yield and resilience. This study investigates how maternal effects, driven by thermal priming, influence offspring growth and thermal tolerance. Clonal female and male gametophytes were exposed to 0°C, 10°C, and 20°C for three weeks in a common-garden experiment before crossing at 10°C. Fatty acid profiles of female gametophytes at the end of priming were analysed to investigate potential lipid provisioning. Sporophyte growth was monitored for 17 days at 10°C, followed by a 10-day heat stress at 23°C to assess thermal tolerance. Our findings showed that warm-primed female gametophytes had higher levels of neutral lipids, especially saturated fatty acids, while polar lipids, particularly polyunsaturated fatty acids, were lower. The fastest growing sporophytes originated from cold-primed gametophytes, but warm-primed gametophytes produced more sporophytes and enhanced their thermal tolerance. Maternal gametophytes were the main driver of offspring phenotypes with 14x higher explained variance for growth and 6x higher explained variance for thermal tolerance than paternal gametophytes. Cold priming of gametophytes in hatchery is recommended for higher yield in seaweed farming, while warm priming may aid restoration efforts in warming oceans, offering a cost-effective alternative complementary to selective breeding.
DOI: 10.6084/m9.figshare.27135573.v1
title: SEXPRIME_submitted.xlsx

description: Kelps are ecologically and economically important species, serving various purposes such as in the production of food, fertilizer, and bioplastics. As climate change alters ocean temperatures, optimization of kelp hatchery practices is essential for enhancing yield and resilience. This study investigates how maternal effects, driven by thermal priming, influence offspring growth and thermal tolerance. Clonal female and male gametophytes were exposed to 0°C, 10°C, and 20°C for three weeks in a common-garden experiment before crossing at 10°C. Fatty acid profiles of female gametophytes at the end of priming were analysed to investigate potential lipid provisioning. Sporophyte growth was monitored for 17 days at 10°C, followed by a 10-day heat stress at 23°C to assess thermal tolerance. Our findings showed that warm-primed female gametophytes had higher levels of neutral lipids, especially saturated fatty acids, while polar lipids, particularly polyunsaturated fatty acids, were lower. The fastest growing sporophytes originated from cold-primed gametophytes, but warm-primed gametophytes produced more sporophytes and enhanced their thermal tolerance. Maternal gametophytes were the main driver of offspring phenotypes with 14x higher explained variance for growth and 6x higher explained variance for thermal tolerance than paternal gametophytes. Cold priming of gametophytes in hatchery is recommended for higher yield in seaweed farming, while warm priming may aid restoration efforts in warming oceans, offering a cost-effective alternative complementary to selective breeding.
DOI: 10.57745/hft5de
title: Fig1.png
DOI: 10.57745/iujzhy
title: dynq1
DOI: 10.57745/jt2bqc
title: dynq0
DOI: 10.57745/8pcmjg
title: dynq3
DOI: 10.57745/bhtorp
title: dynq10
DOI: 10.57745/j5knw7
title: dynq2
DOI: 10.57745/smwxp1
title: dynq4
DOI: 10.57745/vdetql
title: dynq5
DOI: 10.57745/axlbru
title: matdyn.in
DOI: 10.57745/dymapf
title: dynq8
DOI: 10.57745/mfvayw
title: dynq9
DOI: 10.57745/ncqpxq
title: dynq6
DOI: 10.57745/pahski
title: flfrc.d
DOI: 10.57745/sq8t7j
title: dynq7
DOI: 10.57745/1vdnln
title: matdyn_disp.freq
DOI: 10.57745/amudlj
title: matdyn.out
DOI: 10.57745/ou7is8
title: matdyn_disp.dyn
DOI: 10.57745/vvxgy0
title: matdyn_disp.freq.gp
DOI: 10.57745/wpajxv
title: matdyn_disp.modes
DOI: 10.57745/4y0x5g
title: ph.in
DOI: 10.57745/hh7yta
title: scf.out
DOI: 10.57745/jqb0pr
title: q2r.out
DOI: 10.57745/kvrpw0
title: scf.in
DOI: 10.57745/upcpsr
title: q2r.in
DOI: 10.57745/zw1gut
title: ph.out
DOI: 10.57745/7m2idc
title: dynq1
DOI: 10.57745/kwsxjj
title: dynq2
DOI: 10.57745/lulnxq
title: relax.in
DOI: 10.57745/nx2yq8
title: dynq0
DOI: 10.57745/ojflp8
title: relax.out
DOI: 10.57745/4n6abh
title: dynq7
DOI: 10.57745/bqmxso
title: dynq4
DOI: 10.57745/ftmsm2
title: dynq6
DOI: 10.57745/kbbnbj
title: dynq8
DOI: 10.57745/nij1aa
title: dynq3
DOI: 10.57745/zt5bmb
title: dynq5
DOI: 10.57745/7twg5a
title: matdyn.modes
DOI: 10.57745/amssll
title: matdyn.freq
DOI: 10.57745/ep52k3
title: matdyn.dyn
DOI: 10.57745/ic9kt2
title: matdyn.in
DOI: 10.57745/opj58x
title: flfrc.d
DOI: 10.57745/dfb6av
title: ph3.out
DOI: 10.57745/mo3eh1
title: ph2.out
DOI: 10.57745/tgu7fn
title: q2r.in
DOI: 10.57745/v1qgen
title: ph1.out
DOI: 10.57745/vxyndk
title: matdyn.out
DOI: 10.57745/z3j5ix
title: ph.in
DOI: 10.57745/1vkpew
title: q2r.out
DOI: 10.57745/4lzywz
title: relax.in
DOI: 10.57745/fvyk83
title: relax.out
DOI: 10.57745/qztm1x
title: scf.out
DOI: 10.57745/vtdzao
title: scf.in
DOI: 10.57745/535zpd
title: ph.py
DOI: 10.57745/ci3bp7
title: disp.gnu
DOI: 10.57745/cscuuy
title: Figure3-a2.dat
DOI: 10.57745/gng4hf
title: Figure3-a1.dat
DOI: 10.57745/mwv9fo
title: disp.gnu
DOI: 10.57745/wxvd1k
title: ph.py
DOI: 10.57745/gmffv4
title: Figure3c.dat
DOI: 10.57745/jgzwtk
title: Figure3-a3.dat
DOI: 10.57745/kixskx
title: Figure3b-2.dat
DOI: 10.57745/qbeauy
title: Figure3b-3.dat
DOI: 10.57745/yyqquj
title: Figure3b-1.dat
DOI: 10.57745/6sya0c
title: ph.in
DOI: 10.57745/93drlo
title: Figure3d-2.dat
DOI: 10.57745/tjyzvr
title: dynq1
DOI: 10.57745/tuvo0e
title: ph.out
DOI: 10.57745/vixogm
title: dynq0
DOI: 10.57745/zs37nv
title: Figure3d-1.dat
DOI: 10.57745/8ejhvl
title: dynq0
DOI: 10.57745/bzhbb0
title: scf.in
DOI: 10.57745/d7cp6v
title: relax.out
DOI: 10.57745/hyxrpb
title: scf.out
DOI: 10.57745/lyb9dh
title: relax.in
DOI: 10.15468/dl.4ut52m
title: Occurrence Download

description: A dataset containing 170095 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((30.4166 40.74956,27.00163 42.47655,24.78184 42.11706,22.07273 41.67554,22.20181 37.39727,19.87837 40.11449,21.04009 42.34689,17.29676 43.76159,13.68251 46.49293,11.35906 45.77737,16.55584 39.21039,11.35906 43.29365,9.03562 45.0525,6.32493 43.48126,4.5178 44.59473,1.80712 42.63244,-1.0963 39.59221,-0.13616 38.43174,-1.94977 36.91188,-6.04322 36.61245,-5.80862 34.57785,-1.67805 34.68406,9.29378 36.98596,9.03562 33.72328,12.52079 32.31634,19.49113 29.21132,21.16917 32.0979,28.78491 29.77309,31.23744 30.88719,34.85169 29.77309,35.73063 32.00425,37.94962 37.39727,33.04456 37.49975,30.20479 36.98596,27.88135 37.60208,26.19811 39.9073,30.4166 40.74956))",
 "HasGeospatialIssue is false",
 "TaxonKey is Malacostraca"
 ]
}

 The dataset includes 170095 records from 444 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035573-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57745/5pmy2p
title: flfrc.d
DOI: 10.57745/v7smw2
title: matdyn.in
DOI: 10.57745/vnfoqi
title: matdyn.freq
DOI: 10.57745/yf4mi0
title: dynq1
DOI: 10.57745/yrgv0a
title: matdyn.dyn
DOI: 10.57745/zngvdp
title: matdyn.freq.gp
DOI: 10.57745/7dvvb4
title: matdyn.out
DOI: 10.57745/98l30q
title: q2r.in
DOI: 10.57745/bdbfoz
title: matdyn.modes
DOI: 10.57745/c0ttbb
title: ph.out
DOI: 10.57745/gumtqu
title: ph.in
DOI: 10.57745/7vudyw
title: relax.in
DOI: 10.57745/civyei
title: scf.in
DOI: 10.57745/cm5mhz
title: relax.out
DOI: 10.57745/fsf0o8
title: Figure4a-1.dat
DOI: 10.57745/lqpb4v
title: scf.out
DOI: 10.57745/oxkh8v
title: q2r.out
DOI: 10.57745/5j4qgj
title: dynq1
DOI: 10.57745/8ywmzn
title: dynq0
DOI: 10.57745/caio8d
title: Figure4a-2.dat
DOI: 10.57745/nkfwzu
title: Figure4b-1.dat
DOI: 10.57745/qcdslb
title: Figure4b-2.dat
DOI: 10.57745/axfuel
title: dynq4
DOI: 10.57745/kcahqm
title: dynq3
DOI: 10.57745/kclkcq
title: dynq6
DOI: 10.57745/ugxppn
title: dynq2
DOI: 10.57745/xwu36u
title: dynq5
DOI: 10.57745/28hn5v
title: dynq9
DOI: 10.57745/aol8ij
title: dynq7
DOI: 10.57745/diwzxg
title: matdyn_supercell.in
DOI: 10.57745/jyiqum
title: dynq8
DOI: 10.57745/shdhze
title: flfrc.d
DOI: 10.57745/a1nqf1
title: matdyn_supercell_gamma.dyn
DOI: 10.57745/btgmlt
title: ph.in
DOI: 10.57745/c2fatq
title: matdyn_supercell.out
DOI: 10.57745/kazaxx
title: matdyn_supercell_gamma.modes
DOI: 10.57745/zexd7z
title: matdyn_supercell_gamma.freq
DOI: 10.57745/cegmvh
title: relax.in
DOI: 10.57745/eyyp6s
title: ph.out
DOI: 10.57745/ptrcec
title: q2r.in
DOI: 10.57745/q48312
title: scf.out
DOI: 10.57745/vidxug
title: q2r.out
DOI: 10.57745/yfzctx
title: scf.in
DOI: 10.57745/5btoxm
title: Figure4c.dat
DOI: 10.57745/ip65oc
title: dynq0
DOI: 10.57745/qmmklx
title: dynq1
DOI: 10.57745/rsmdnd
title: relax.out
DOI: 10.57745/ysbv3z
title: dynq2
DOI: 10.57745/btfyjo
title: dynq4
DOI: 10.57745/isskfw
title: dynq5
DOI: 10.57745/m6dod0
title: dynq8
DOI: 10.57745/mighrn
title: dynq3
DOI: 10.57745/nooyba
title: dynq6
DOI: 10.57745/nssdfb
title: dynq7
DOI: 10.57745/300boo
title: flfrc.d
DOI: 10.57745/cgwqea
title: matdyn_supercell.in
DOI: 10.57745/ffcd04
title: matdyn_supercell_gamma.dyn
DOI: 10.57745/uj8rkm
title: matdyn_supercell.out
DOI: 10.57745/c4qikt
title: ph3.out
DOI: 10.57745/ckjvev
title: ph1.out
DOI: 10.57745/peyhkr
title: ph.in
DOI: 10.57745/rltbaq
title: matdyn_supercell_gamma.freq
DOI: 10.57745/tkvqay
title: matdyn_supercell_gamma.modes
DOI: 10.57745/vg4bli
title: ph2.out
DOI: 10.57745/eoj8pp
title: scf.in
DOI: 10.57745/fkmcru
title: relax.in
DOI: 10.57745/mukkf5
title: q2r.in
DOI: 10.57745/nteiw2
title: scf.out
DOI: 10.57745/ssgrop
title: q2r.out
DOI: 10.57745/1tivyj
title: relax.out
DOI: 10.57745/46czn1
title: Figure4d.dat
DOI: 10.57745/egl70f
title: dynq0
DOI: 10.57745/hlxhrd
title: dynq1
DOI: 10.57745/jreqmr
title: ph.out
DOI: 10.57745/vgpajd
title: ph.in
DOI: 10.57745/fx8ior
title: scf.in
DOI: 10.57745/lfx5nm
title: relax.in
DOI: 10.57745/vexeob
title: relax.out
DOI: 10.57745/xkhccj
title: scf.out
DOI: 10.57745/ykxpwl
title: dynq0
DOI: 10.57745/3blvhu
title: dynq4
DOI: 10.57745/ayo8y8
title: dynq1
DOI: 10.57745/d5qyc3
title: dynq3
DOI: 10.57745/dabwoi
title: dynq5
DOI: 10.57745/o7fiyb
title: dynq2
DOI: 10.57745/qdvp3l
title: dynq6
DOI: 10.57745/afaxvt
title: flfrc.d
DOI: 10.57745/argb52
title: dynq9
DOI: 10.57745/nnv7ap
title: dynq7
DOI: 10.57745/sslwkd
title: dynq8
DOI: 10.57745/u7uhsd
title: matdyn.in
DOI: 10.57745/1ouy2r
title: q2r.out
DOI: 10.57745/b3rt6n
title: ph.in
DOI: 10.57745/c8zgde
title: ph.out
DOI: 10.57745/o7jfpk
title: matdyn.out
DOI: 10.57745/v5uror
title: q2r.in
DOI: 10.57745/4icvjv
title: dynq1
DOI: 10.57745/5n20ff
title: relax.out
DOI: 10.57745/8gksvp
title: scf.in
DOI: 10.57745/9ew8pb
title: dynq0
DOI: 10.57745/r7yplp
title: relax.in
DOI: 10.57745/u5jhfc
title: scf.out
DOI: 10.57745/23kgwt
title: matdyn.out
DOI: 10.57745/8zsgoz
title: matdyn.in
DOI: 10.57745/tt8msx
title: flfrc.d
DOI: 10.57745/wgaonl
title: ph.out
DOI: 10.57745/x73bxh
title: ph.in
DOI: 10.57745/1rrbib
title: dynq0
DOI: 10.57745/98yabj
title: scf.in
DOI: 10.57745/iqmvux
title: scf.out
DOI: 10.57745/k5prj1
title: dynq1
DOI: 10.57745/li5d38
title: q2r.out
DOI: 10.57745/remriy
title: q2r.in
DOI: 10.57745/4icwxe
title: dynq3
DOI: 10.57745/adzn4g
title: dynq2
DOI: 10.57745/boadeo
title: dynq5
DOI: 10.57745/qp1ddi
title: dynq6
DOI: 10.57745/uxsap3
title: dynq4
DOI: 10.57745/4utt3c
title: dynq7
DOI: 10.57745/9n8rj1
title: flfrc.d
DOI: 10.57745/cpf1rf
title: matdyn.out
DOI: 10.57745/dg2tux
title: dynq8
DOI: 10.57745/mlfgpg
title: ph.in
DOI: 10.57745/u7t1ig
title: matdyn.in
DOI: 10.57745/6qluqo
title: ph1.out
DOI: 10.57745/aqokpk
title: q2r.in
DOI: 10.57745/rqxxos
title: q2r.out
DOI: 10.57745/rwpzl7
title: ph2.out
DOI: 10.57745/uwbuhs
title: ph3.out
DOI: 10.57745/8zp2y8
title: scf.in
DOI: 10.57745/97rdbt
title: scf.out
DOI: 10.57745/ghqouk
title: DOS.py
DOI: 10.57745/glemgw
title: relax.out
DOI: 10.57745/rcardd
title: relax.in
DOI: 10.57745/yre2g4
title: dos_LaSe
DOI: 10.57745/7gvkhx
title: La.GGA-PBE-paw-v1.0.UPF
DOI: 10.57745/f4ayxo
title: dos_misfit
DOI: 10.57745/fdbguw
title: Nb.pbe-nsp-van.UPF
DOI: 10.57745/hcnyq9
title: Nb.pbe-spn-kjpaw_psl.0.3.0.UPF
DOI: 10.57745/jhodov
title: dos_NbSe2
DOI: 10.57745/q1bhow
title: La_gga.van
DOI: 10.57745/lzf2of
title: Gamma_Phonons_Non-Hexagonal_2L_FET
DOI: 10.57745/ojmjb1
title: To read.txt
DOI: 10.57745/pfslxo
title: Eu
DOI: 10.57745/qqto1v
title: Se_pbe_v1.uspp.F.UPF
DOI: 10.57745/rnfuap
title: Eg
DOI: 10.57745/xmhcjh
title: Se_PBE_TM_cons.UPF
DOI: 10.15468/dl.77c6wq
title: Occurrence Download

description: A dataset listing the 14 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-72.80524 4.41002,-72.80696 4.42456,-72.85434 4.28284,-72.99716 4.2171,-73.16196 3.8993,-73.41464 3.83353,-73.81015 3.87737,-73.96396 3.82257,-74.0079 3.66909,-74.21664 3.58137,-74.33749 3.54848,-74.4913 3.35108,-74.56821 3.0988,-74.48031 2.89034,-74.37045 2.8684,-74.2496 2.616,-74.18368 2.37453,-73.95297 2.25378,-73.98593 2.4843,-74.02988 2.68185,-74.09579 2.82451,-73.98593 2.93423,-74.01889 3.0988,-74.07382 3.17559,-74.13974 3.2414,-74.05185 3.29624,-73.98593 3.30721,-73.84311 3.26334,-73.71127 3.14268,-73.66733 3.01103,-73.54648 2.9452,-73.34872 2.95617,-73.33774 2.83548,-73.3707 2.78061,-73.35971 2.63795,-73.26083 2.616,-73.19491 2.71477,-73.05209 2.84645,-72.92026 2.92326,-72.81039 2.96715,-72.82138 3.05491,-72.79941 3.10977,-72.67856 3.14268,-72.65658 3.10977,-72.66757 3.022,-72.66757 2.92326,-72.53573 2.97812,-72.37094 3.022,-72.30502 3.13171,-71.97543 3.19752,-71.79965 3.32915,-71.68979 3.35108,-71.49203 3.32915,-71.27231 3.39495,-71.17343 3.42785,-71.07713 3.5334,-71.07902 3.53871,-71.07799 4.92397,-71.17515 4.84256,-71.2548 4.81246,-71.36466 4.76045,-71.43607 4.72487,-71.55417 4.68381,-71.59812 4.6537,-71.71073 4.59347,-71.81235 4.58526,-71.84806 4.53324,-71.93595 4.42645,-72.04307 4.37168,-72.08701 4.41823,-72.22159 4.43466,-72.28477 4.41275,-72.3603 4.35114,-72.39188 4.33333,-72.42484 4.34977,-72.44819 4.33333,-72.53608 4.34155,-72.56354 4.32101,-72.63633 4.30869,-72.70087 4.29773,-72.7352 4.31279,-72.76542 4.34977,-72.79288 4.39222,-72.80524 4.41002))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is one of (Cycadopsida, Ginkgoopsida, Pinopsida, Gnetopsida)"
 ]
}

 The dataset's 14 records were derived from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035574-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13862301
title: The dataset of DOM events interactions flakiness issues in web tests
DOI: 10.5281/zenodo.13862302
title: The dataset of DOM events interactions flakiness issues in web tests