cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.g4hnd8
title: Occurrence Download

description: A dataset listing the 6284 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is FloraCAT: Banco de datos de los cormófitos de Cataluña"
 ]
}

 The dataset's 6284 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016833-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bk88nf
title: Occurrence Download

description: A dataset containing 548 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Abronia graminea (Cope, 1864)"
 ]
}

 The dataset includes 548 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016840-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17909/3zk6-g986
title: Data from "A JWST Panchromatic Thermal Emission Spectrum of the Warm Neptune Archetype GJ 436b"

description: GJ 436b is the archetype warm Neptune exoplanet. The planet’s thermal emission spectrum was previously observed via intensive secondary eclipse campaigns with {\it Spitzer}. The atmosphere has long been interpreted to be extremely metal-rich, out of chemical equilibrium, and potentially tidally heated. We present the first panchromatic emission spectrum of GJ 436b observed with {\it JWST}'s NIRCAM (F322W2 \& F444W) and MIRI (LRS) instruments between 2.4 and 11.9 $\mu$m. Surprisingly, the {\it JWST} spectrum appears significantly fainter around 3.6 $\mu$m than that implied by {\it Spitzer} photometry. The molecular absorption features in the spectrum are relatively weak, and we only find tentative evidence of {\cotwo} absorption at 2$\sigma$. Under the assumption of a day-side blackbody, we find $T_{\rm day}$=608.0$\pm$4.3 K, which is less than the zero Bond albedo equilibrium temperature. We use it to obtain a 3$\sigma$ upper limit on the Bond albedo of $A_B{\le}$0.65. To understand the spectrum we employ 1D radiative--convective models but find that atmospheric constraints depend strongly on model assumptions.  If thermochemical equilibrium is assumed, we find a cloudy metal-enriched atmosphere (metallicity $\ge$ 500$\times$solar). We employ 1D photochemical modeling to show that the observed spectrum is also consistent with a cloud-free, relatively lower-metallicity atmosphere (metallicity $\ge$30$\times$Solar) with a cold internal temperature ({\tint}$\sim$ 60 K). These are much lower metallicities and internal temperatures than inferences from {\it Spitzer} photometry.  The low $T_{\rm day}$ and non-detection of transmission features at high spectral resolution does suggest a role for cloud opacity, but this is not definitive.
DOI: 10.15468/dl.t6mjvx
title: Occurrence Download

description: A dataset containing 2226 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "License is one of (CC0 1.0, CC-BY 4.0)",
 "TaxonKey is Meles meles (Linnaeus, 1758)"
 ]
}

 The dataset includes 2226 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016841-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25346/s6/0ftezh/gel7ln
title: rbspa_ect-elec-L4_20170622_v1.1.0.cdf
DOI: 10.25346/s6/0ftezh/lw9zfj
title: rbspa_ect-elec-L4_20171215_v1.1.0.cdf
DOI: 10.25346/s6/0ftezh/n4jfwx
title: rbspa_ect-elec-L4_20170927_v1.1.0.cdf
DOI: 10.25346/s6/0ftezh/t6hyes
title: rbspa_ect-elec-L4_20170917_v1.1.0.cdf
DOI: 10.25346/s6/0ftezh/uk2so6
title: rbspa_ect-elec-L4_20170403_v1.1.0.cdf
DOI: 10.25346/s6/0ftezh/umzv36
title: rbspa_ect-elec-L4_20171211_v1.1.0.cdf
DOI: 10.25346/s6/0ftezh/whpnoj
title: rbspa_ect-elec-L4_20170420_v1.1.0.cdf
DOI: 10.25346/s6/0ftezh/ywkgdt
title: rbspa_ect-elec-L4_20170323_v1.1.0.cdf
DOI: 10.25346/s6/0ftezh/4lxp4u
title: rbspa_ect-elec-L4_20171030_v1.1.0.cdf
DOI: 10.25346/s6/0ftezh/fn9uwz
title: rbspa_ect-elec-L4_20171128_v1.1.0.cdf
DOI: 10.25346/s6/0ftezh/k9ra1x
title: rbspa_ect-elec-L4_20170719_v1.1.0.cdf
DOI: 10.25346/s6/0ftezh/kkval6
title: rbspa_ect-elec-L4_20170118_v1.1.0.cdf
DOI: 10.25346/s6/0ftezh/lmchbz
title: rbspa_ect-elec-L4_20170728_v1.1.0.cdf
DOI: 10.25346/s6/0ftezh/pbrem0
title: rbspa_ect-elec-L4_20170318_v1.1.0.cdf
DOI: 10.25346/s6/0ftezh/sqyva5
title: rbspa_ect-elec-L4_20170910_v1.1.0.cdf
DOI: 10.25346/s6/0ftezh/wdocea
title: rbspa_ect-elec-L4_20170924_v1.1.0.cdf
DOI: 10.25346/s6/0ftezh/wthbfm
title: rbspa_ect-elec-L4_20171003_v1.1.0.cdf
DOI: 10.25346/s6/0ftezh/ztqr5h
title: rbspa_ect-elec-L4_20170527_v1.1.0.cdf
DOI: 10.25346/s6/0ftezh/zum7je
title: rbspa_ect-elec-L4_20171229_v1.1.0.cdf
DOI: 10.25346/s6/0ftezh/5ezf0t
title: rbspa_ect-elec-L4_20170222_v1.1.0.cdf
DOI: 10.25346/s6/0ftezh/9btcyd
title: rbspa_ect-elec-L4_20171016_v1.1.0.cdf
DOI: 10.25346/s6/0ftezh/elkwws
title: rbspa_ect-elec-L4_20170314_v1.1.0.cdf
DOI: 10.25346/s6/0ftezh/gutgyc
title: rbspa_ect-elec-L4_20170731_v1.1.0.cdf
DOI: 10.25346/s6/0ftezh/rfgxqz
title: rbspa_ect-elec-L4_20170101_v1.1.0.cdf
DOI: 10.25346/s6/0ftezh/zo6imc
title: rbspa_ect-elec-L4_20170901_v1.1.0.cdf
DOI: 10.6084/m9.figshare.26977660
title: Developing an analytic hierarchical process-based tool for assessing sustainability in public schools: a developing country context

description: Sustainability and the seventeen sustainable development goals (17SDGs) are gaining increasing importance in different contexts in the globe. Among them are SGD 4 (Quality Education), SDG 6 (Clean Water and Sanitation), SDG 7 (Affordable and Clean Energy), SDG 11 (Sustainable Cities and Communities), SDG 13 (Climate Action) and SDG 15 (Life on Land). To promote these goals, this study aims to develop a reliable tool to assess the economic, environmental and social sustainability in public schools in Palestine, based on the analytic hierarchical process (AHP) approach. To this end, primary data were collected from a random sample of 70 schools via personally administered questionnaires answered by school principals. A school sustainably assessment tool (SSA-tool) was developed based on the analytic hierarchical process (AHP) results using Expert Choice 11 software. The AHP results revealed that environmental, economic and social sustainability weights are 30.3%, 36.5% and 33.2%, respectively. Also, a comparison of the SSA-tool’s weights with other international rating systems, namely, LEED, CASBEE, BREEAM and GP-tool was conducted. To facilitate the use of the SSA-tool, an Excel template of the SSA-tool was developed and validated. The study concludes with recommending specific implementable actions in each sustainability dimension.
DOI: 10.6084/m9.figshare.26977660.v1
title: Developing an analytic hierarchical process-based tool for assessing sustainability in public schools: a developing country context

description: Sustainability and the seventeen sustainable development goals (17SDGs) are gaining increasing importance in different contexts in the globe. Among them are SGD 4 (Quality Education), SDG 6 (Clean Water and Sanitation), SDG 7 (Affordable and Clean Energy), SDG 11 (Sustainable Cities and Communities), SDG 13 (Climate Action) and SDG 15 (Life on Land). To promote these goals, this study aims to develop a reliable tool to assess the economic, environmental and social sustainability in public schools in Palestine, based on the analytic hierarchical process (AHP) approach. To this end, primary data were collected from a random sample of 70 schools via personally administered questionnaires answered by school principals. A school sustainably assessment tool (SSA-tool) was developed based on the analytic hierarchical process (AHP) results using Expert Choice 11 software. The AHP results revealed that environmental, economic and social sustainability weights are 30.3%, 36.5% and 33.2%, respectively. Also, a comparison of the SSA-tool’s weights with other international rating systems, namely, LEED, CASBEE, BREEAM and GP-tool was conducted. To facilitate the use of the SSA-tool, an Excel template of the SSA-tool was developed and validated. The study concludes with recommending specific implementable actions in each sustainability dimension.
DOI: 10.25346/s6/0ftezh/2p0gmz
title: rbspa_ect-elec-L4_20170705_v1.1.0.cdf
DOI: 10.25346/s6/0ftezh/5zycns
title: rbspa_ect-elec-L4_20170509_v1.1.0.cdf
DOI: 10.25346/s6/0ftezh/cndw0n
title: rbspa_ect-elec-L4_20170820_v1.1.0.cdf
DOI: 10.25346/s6/0ftezh/dppdzo
title: rbspa_ect-elec-L4_20170215_v1.1.0.cdf
DOI: 10.25346/s6/0ftezh/gpt3z1
title: rbspa_ect-elec-L4_20170730_v1.1.0.cdf
DOI: 10.25346/s6/0ftezh/i53xol
title: rbspa_ect-elec-L4_20170829_v1.1.0.cdf
DOI: 10.25346/s6/0ftezh/mjyovs
title: rbspa_ect-elec-L4_20170617_v1.1.0.cdf
DOI: 10.25346/s6/0ftezh/yh8gx4
title: rbspa_ect-elec-L4_20170723_v1.1.0.cdf
DOI: 10.25346/s6/0ftezh/g8s6vb
title: rbspa_ect-elec-L4_20170809_v1.1.0.cdf
DOI: 10.25346/s6/0ftezh/mirocq
title: rbspa_ect-elec-L4_20170718_v1.1.0.cdf
DOI: 10.25346/s6/0ftezh/txuozl
title: rbspa_ect-elec-L4_20170214_v1.1.0.cdf
DOI: 10.25346/s6/0ftezh/kbftir
title: rbspa_ect-elec-L4_20170828_v1.1.0.cdf
DOI: 10.25346/s6/0ftezh/hg8mzg
title: rbspa_ect-elec-L4_20170831_v1.1.0.cdf
DOI: 10.15468/dl.5hkg4m
title: Occurrence Download

description: A dataset containing 131 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "Country is Mexico",
 "TaxonKey is Populus alba L.",
 "Year 2000-2023"
 ]
}

 The dataset includes 131 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016842-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25346/s6/0ftezh/0mehdz
title: rbspa_ect-elec-L4_20170523_v1.1.0.cdf
DOI: 10.25346/s6/0ftezh/y0sncu
title: rbspa_ect-elec-L4_20170320_v1.1.0.cdf
DOI: 10.25346/s6/0ftezh/myf9sd
title: rbspa_ect-elec-L4_20170706_v1.1.0.cdf
DOI: 10.25346/s6/0ftezh/ulf8gb
title: rbspa_ect-elec-L4_20170107_v1.1.0.cdf
DOI: 10.25346/s6/0ftezh/3qzg5s
title: rbspa_ect-elec-L4_20171108_v1.1.0.cdf
DOI: 10.25346/s6/qwnogo/2wz3ac
title: rbspa_ect-elec-L4_20150730_v1.1.0.cdf
DOI: 10.25346/s6/qwnogo/b5fkrk
title: rbspa_ect-elec-L4_20150718_v1.1.0.cdf
DOI: 10.25346/s6/qwnogo/ca5rkn
title: rbspa_ect-elec-L4_20150610_v1.1.0.cdf
DOI: 10.25346/s6/qwnogo/fzgy7e
title: rbspa_ect-elec-L4_20150219_v1.1.0.cdf
DOI: 10.25346/s6/qwnogo/i4odwd
title: rbspa_ect-elec-L4_20151225_v1.1.0.cdf
DOI: 10.25346/s6/qwnogo/jbwsiz
title: rbspa_ect-elec-L4_20150527_v1.1.0.cdf
DOI: 10.25346/s6/qwnogo/kuzzqm
title: rbspa_ect-elec-L4_20150210_v1.1.0.cdf
DOI: 10.25346/s6/qwnogo/nososo
title: rbspa_ect-elec-L4_20150731_v1.1.0.cdf
DOI: 10.25346/s6/qwnogo/rhmu6y
title: rbspa_ect-elec-L4_20150421_v1.1.0.cdf
DOI: 10.25346/s6/qwnogo/0yhv1q
title: rbspa_ect-elec-L4_20150328_v1.1.0.cdf
DOI: 10.25346/s6/qwnogo/8z80hq
title: rbspa_ect-elec-L4_20150725_v1.1.0.cdf
DOI: 10.25346/s6/qwnogo/9jxuur
title: rbspa_ect-elec-L4_20151002_v1.1.0.cdf
DOI: 10.25346/s6/qwnogo/msdfav
title: rbspa_ect-elec-L4_20150827_v1.1.0.cdf
DOI: 10.25346/s6/qwnogo/nrevdh
title: rbspa_ect-elec-L4_20151003_v1.1.0.cdf
DOI: 10.25346/s6/qwnogo/olnlly
title: rbspa_ect-elec-L4_20150126_v1.1.0.cdf
DOI: 10.25346/s6/qwnogo/qhxzt4
title: rbspa_ect-elec-L4_20151223_v1.1.0.cdf
DOI: 10.25346/s6/qwnogo/qj42j5
title: rbspa_ect-elec-L4_20150711_v1.1.0.cdf
DOI: 10.25346/s6/qwnogo/qymn3d
title: rbspa_ect-elec-L4_20151029_v1.1.0.cdf
DOI: 10.25346/s6/qwnogo/r44lfg
title: rbspa_ect-elec-L4_20150802_v1.1.0.cdf
DOI: 10.25346/s6/qwnogo/v4dl4o
title: rbspa_ect-elec-L4_20150107_v1.1.0.cdf
DOI: 10.25346/s6/qwnogo/594npv
title: rbspa_ect-elec-L4_20150618_v1.1.0.cdf
DOI: 10.25346/s6/qwnogo/bbrgqt
title: rbspa_ect-elec-L4_20151205_v1.1.0.cdf
DOI: 10.25346/s6/qwnogo/ctk3kw
title: rbspa_ect-elec-L4_20150315_v1.1.0.cdf
DOI: 10.25346/s6/qwnogo/cy9zhy
title: rbspa_ect-elec-L4_20150928_v1.1.0.cdf
DOI: 10.25346/s6/qwnogo/gtnngg
title: rbspa_ect-elec-L4_20150310_v1.1.0.cdf
DOI: 10.25346/s6/qwnogo/irjugk
title: rbspa_ect-elec-L4_20150605_v1.1.0.cdf
DOI: 10.25346/s6/qwnogo/j9uzwx
title: rbspa_ect-elec-L4_20151211_v1.1.0.cdf
DOI: 10.25346/s6/qwnogo/kzchcz
title: rbspa_ect-elec-L4_20150208_v1.1.0.cdf
DOI: 10.25346/s6/qwnogo/mj1c95
title: rbspa_ect-elec-L4_20150629_v1.1.0.cdf
DOI: 10.25346/s6/qwnogo/slqvtg
title: rbspa_ect-elec-L4_20151113_v1.1.0.cdf
DOI: 10.25346/s6/qwnogo/xnb8jf
title: rbspa_ect-elec-L4_20150715_v1.1.0.cdf
DOI: 10.25346/s6/qwnogo/dgbtxx
title: rbspa_ect-elec-L4_20150306_v1.1.0.cdf
DOI: 10.25346/s6/qwnogo/gizglr
title: rbspa_ect-elec-L4_20151221_v1.1.0.cdf
DOI: 10.25346/s6/qwnogo/qu1mo2
title: rbspa_ect-elec-L4_20150916_v1.1.0.cdf
DOI: 10.25346/s6/qwnogo/85ry44
title: rbspa_ect-elec-L4_20150127_v1.1.0.cdf
DOI: 10.25346/s6/qwnogo/ncv1v9
title: rbspa_ect-elec-L4_20150528_v1.1.0.cdf
DOI: 10.25346/s6/qwnogo/ci4orn
title: rbspa_ect-elec-L4_20150919_v1.1.0.cdf
DOI: 10.25346/s6/qwnogo/jwione
title: rbspa_ect-elec-L4_20150424_v1.1.0.cdf
DOI: 10.25346/s6/qwnogo/ecsf5n
title: rbspa_ect-elec-L4_20151013_v1.1.0.cdf
DOI: 10.25346/s6/qwnogo/xatqy3
title: rbspa_ect-elec-L4_20150701_v1.1.0.cdf
DOI: 10.25346/s6/qwnogo/sodwly
title: rbspa_ect-elec-L4_20150705_v1.1.0.cdf
DOI: 10.25346/s6/qwnogo/rkqoz8
title: rbspa_ect-elec-L4_20150524_v1.1.0.cdf
DOI: 10.25346/s6/qwnogo/9usppn
title: rbspa_ect-elec-L4_20150205_v1.1.0.cdf
DOI: 10.25346/s6/qwnogo/nhbtij
title: rbspa_ect-elec-L4_20150402_v1.1.0.cdf
DOI: 10.25346/s6/qwnogo/wtjydr
title: rbspa_ect-elec-L4_20150506_v1.1.0.cdf
DOI: 10.25346/s6/qwnogo/2tgqlc
title: rbspa_ect-elec-L4_20150603_v1.1.0.cdf
DOI: 10.25346/s6/qwnogo/q50wpc
title: rbspa_ect-elec-L4_20150319_v1.1.0.cdf
DOI: 10.25346/s6/qwnogo/jbah79
title: rbspa_ect-elec-L4_20150917_v1.1.0.cdf
DOI: 10.25346/s6/qwnogo/gr26a7
title: rbspa_ect-elec-L4_20150118_v1.1.0.cdf
DOI: 10.25346/s6/qwnogo/4i9fxh
title: rbspa_ect-elec-L4_20150224_v1.1.0.cdf
DOI: 10.25346/s6/qwnogo/zo9kix
title: rbspa_ect-elec-L4_20150729_v1.1.0.cdf
DOI: 10.25346/s6/qwnogo/eanvyc
title: rbspa_ect-elec-L4_20151121_v1.1.0.cdf
DOI: 10.25346/s6/qwnogo/hmrcyj
title: rbspa_ect-elec-L4_20150110_v1.1.0.cdf
DOI: 10.25346/s6/qwnogo/amgq39
title: rbspa_ect-elec-L4_20150620_v1.1.0.cdf
DOI: 10.25346/s6/qwnogo/nzrydf
title: rbspa_ect-elec-L4_20150106_v1.1.0.cdf
DOI: 10.25346/s6/qwnogo/irp6gm
title: rbspa_ect-elec-L4_20150502_v1.1.0.cdf
DOI: 10.25346/s6/qwnogo/wrkayc
title: rbspa_ect-elec-L4_20150623_v1.1.0.cdf
DOI: 10.25346/s6/qwnogo/whwvju
title: rbspa_ect-elec-L4_20151215_v1.1.0.cdf
DOI: 10.25346/s6/qwnogo/w8uh62
title: rbspa_ect-elec-L4_20151130_v1.1.0.cdf
DOI: 10.25346/s6/qwnogo/suhdzh
title: rbspa_ect-elec-L4_20150504_v1.1.0.cdf
DOI: 10.25346/s6/qwnogo/vrpe5n
title: rbspa_ect-elec-L4_20150728_v1.1.0.cdf
DOI: 10.25346/s6/qwnogo/xdyczx
title: rbspa_ect-elec-L4_20151118_v1.1.0.cdf
DOI: 10.25346/s6/qwnogo/mmkihu
title: rbspa_ect-elec-L4_20150222_v1.1.0.cdf
DOI: 10.25346/s6/qwnogo/ebop3z
title: rbspa_ect-elec-L4_20151128_v1.1.0.cdf
DOI: 10.25346/s6/qwnogo/r6b1rp
title: rbspa_ect-elec-L4_20151014_v1.1.0.cdf
DOI: 10.25346/s6/qwnogo/fw49jv
title: rbspa_ect-elec-L4_20150429_v1.1.0.cdf
DOI: 10.25346/s6/qwnogo/s0adit
title: rbspa_ect-elec-L4_20150412_v1.1.0.cdf
DOI: 10.5281/zenodo.14169972
title: An Ecological Connectivity dataset for Black Sea obtained from Sea Currents
DOI: 10.5281/zenodo.14169973
title: An Ecological Connectivity dataset for Black Sea obtained from Sea Currents
DOI: 10.5281/zenodo.14171004
title: An Ecological Connectivity dataset for Black Sea obtained from Sea Currents
DOI: 10.25346/s6/qwnogo/s9aqw2
title: rbspa_ect-elec-L4_20150515_v1.1.0.cdf
DOI: 10.25346/s6/qwnogo/8piogg
title: rbspa_ect-elec-L4_20150313_v1.1.0.cdf
DOI: 10.5281/zenodo.14170222
title: Sedov explosion samples MeshGraphNet training

description: 1000 random selected training & 100 validation datasets for training MeshGraphNet to learn Sedov explosion problem
DOI: 10.5281/zenodo.14170223
title: Sedov explosion samples MeshGraphNet training

description: 1000 random selected training & 100 validation datasets for training MeshGraphNet to learn Sedov explosion problem
DOI: 10.25346/s6/qwnogo/mi8yds
title: rbspa_ect-elec-L4_20150226_v1.1.0.cdf
DOI: 10.25346/s6/qwnogo/moabbe
title: rbspa_ect-elec-L4_20150529_v1.1.0.cdf
DOI: 10.25346/s6/qwnogo/901qdw
title: rbspa_ect-elec-L4_20150617_v1.1.0.cdf
DOI: 10.25346/s6/qwnogo/px3gdf
title: rbspa_ect-elec-L4_20150823_v1.1.0.cdf
DOI: 10.25346/s6/qwnogo/cnhzcr
title: rbspa_ect-elec-L4_20150407_v1.1.0.cdf
DOI: 10.25346/s6/qwnogo/kvmhvf
title: rbspa_ect-elec-L4_20151213_v1.1.0.cdf
DOI: 10.25346/s6/qwnogo/dwlaul
title: rbspa_ect-elec-L4_20150318_v1.1.0.cdf
DOI: 10.25346/s6/qwnogo/ioragp
title: rbspa_ect-elec-L4_20150408_v1.1.0.cdf
DOI: 10.25346/s6/qwnogo/whzgkn
title: rbspa_ect-elec-L4_20150601_v1.1.0.cdf
DOI: 10.15156/bio/sh0189792.10fu
title: SH0189792.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0189793.10fu
title: SH0189793.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0189794.10fu
title: SH0189794.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0189795.10fu
title: SH0189795.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0189796.10fu
title: SH0189796.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0189797.10fu
title: SH0189797.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.