cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.ywtrg5
title: Occurrence Download

description: A dataset containing 38 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Burkina Faso",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Combretum micranthum G.Don",
 "Year 2000-2022"
 ]
}

 The dataset includes 38 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0408113-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.77r5a9
title: Occurrence Download

description: A dataset containing 30 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Papurana jimiensis (Tyler, 1963))",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 30 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056907-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ad8u3p
title: Occurrence Download

description: A dataset containing 70 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pachysandra procumbens Michx.",
 "BasisOfRecord is one of (Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Country is one of (United States of America, Canada)"
 ]
}

 The dataset includes 70 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0269113-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hsc9c6
title: Occurrence Download

description: A dataset containing 169 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Country is Honduras",
 "Country is El Salvador",
 "Country is Guatemala"
 ]
 },
 "TaxonKey is Pinus pseudostrobus Lindl."
 ]
}

 The dataset includes 169 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0408130-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4yjwr3
title: Occurrence Download

description: A dataset containing 246 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Rhinella sternosignata (Günther, 1858))",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 246 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056911-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tqum3a
title: Occurrence Download

description: A dataset containing 1918 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Melanoleuca grammopodia (Bull.) Murrill, Melanoleuca subalpina (Britzelm.) Bresinsky & Stangl)",
 "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 1918 records from 79 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0166512-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xd99cs
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Eleutherodactylus michaelschmidi Díaz, Cádiz & Navarro, 2007)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056910-230224095556074/datasets/export for details.
DOI: 10.15468/dl.q2v5am
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-45.54118 -21.13413,-42.13989 -21.37529,-41.94946 -19.05238,-45.68481 -19.03854,-45.54118 -21.13413))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Tantilla Baird & Girard, 1853"
 ]
}

 The dataset includes 6 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0326473-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vhjwwd
title: Occurrence Download

description: A dataset containing 13791 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is JPN.46_1",
 "OccurrenceStatus is Present",
 "Year 2000-2022"
 ]
}

 The dataset includes 13791 records from 61 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0353279-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y4e6kw
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Pleurodema fuscomaculatum (Steindachner, 1864), Pleurodema fuscomaculata (Steindachner, 1864))",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056919-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k5np7t
title: Occurrence Download

description: A dataset containing 17408 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Rosa micrantha Borrer ex Sm., Rosa myriantha Carrière, Rosa montana Chaix, Ruta montana (L.) L., Rosa pseudoscabriuscula (R.Keller) Henker & G.Schulze, Rosa rhoetica A.Kern. ex Déségl., Rosa ossethica Manden.)",
 "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 17408 records from 196 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0326467-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7hkmsv
title: Occurrence Download

description: A dataset containing 72 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Escobaria missouriensis (Sw.) D.R.Hunt",
 "BasisOfRecord is one of (Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Country is one of (United States of America, Canada)"
 ]
}

 The dataset includes 72 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0269117-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.faq9mg
title: Occurrence Download

description: A dataset containing 3358 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Anfibios y reptiles de las regiones Chimalapas (7) y bosque de coníferas y BMM de Veracruz (11)"
 ]
}

 The dataset includes 3358 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002638-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xcazxh
title: Occurrence Download

description: A dataset containing 1069 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cymbopogon pospischilii (K.Schum.) C.E.Hubb."
 ]
}

 The dataset includes 1069 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019345-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kbua5p
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rhipsalis parasitica (L.) DC.",
 "BasisOfRecord is one of (Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Country is one of (United States of America, Canada)"
 ]
}

 The dataset includes 16 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0269124-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aenk2r
title: Occurrence Download

description: A dataset containing 41 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Espeletia aristeguietana Cuatrec."
 ]
}

 The dataset includes 41 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002645-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bav34t
title: Occurrence Download

description: A dataset containing 23 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Pristimantis vicarius (Lynch & Ruiz-Carranza, 1983))",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 23 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056781-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n2ps7e
title: Occurrence Download

description: A dataset containing 315 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Australia)",
 "BasisOfRecord is one of (Specimen)",
 "Year is greater than or equal to 1900",
 "TaxonKey is Nassella trichotoma (Nees) Hack. & Arechav.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 315 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0420628-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hgejvm
title: Occurrence Download

description: A dataset containing 145 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Picus rabieri (Oustalet, 1898)"
 ]
}

 The dataset includes 145 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0435830-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hmepdf
title: Occurrence Download

description: A dataset containing 598 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Phoenix reclinata Jacq."
 ]
}

 The dataset includes 598 records from 55 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0056783-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kwdbxq
title: Occurrence Download

description: A dataset containing 1853 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cyclopia Vent."
 ]
}

 The dataset includes 1853 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0420637-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17876/musewide/dr.1/09904
title: Object GUO_ID 9904 in candels-cdfs-02

description: A spectrum of the MUSE-Wide survey DR1 photometric catalog.
DOI: 10.6084/m9.figshare.29089885
title: Robust adjusted Wald confidence intervals for a proportion based on ranked-set sampling

description: Wald confidence intervals for a binomial proportion are known to perform poorly. Adjusted Wald intervals achieve better performance by adding in <i>c</i> successes and <i>c</i> failures (for an appropriate positive constant <i>c</i>) before computing the usual Wald interval. We study the performance of adjusted Wald intervals for a proportion in the context of ranked-set sampling, finding that such intervals outperform the existing intervals in the literature. In the process, we develop new methods for evaluating the performance of confidence intervals for a proportion in the ranked-set sampling context. We describe possible extensions and provide advice on the choice of <i>c</i>.
DOI: 10.6084/m9.figshare.29089885.v1
title: Robust adjusted Wald confidence intervals for a proportion based on ranked-set sampling

description: Wald confidence intervals for a binomial proportion are known to perform poorly. Adjusted Wald intervals achieve better performance by adding in <i>c</i> successes and <i>c</i> failures (for an appropriate positive constant <i>c</i>) before computing the usual Wald interval. We study the performance of adjusted Wald intervals for a proportion in the context of ranked-set sampling, finding that such intervals outperform the existing intervals in the literature. In the process, we develop new methods for evaluating the performance of confidence intervals for a proportion in the ranked-set sampling context. We describe possible extensions and provide advice on the choice of <i>c</i>.
DOI: 10.17876/musewide/dr.1/09906
title: Object GUO_ID 9906 in candels-cdfs-13

description: A spectrum of the MUSE-Wide survey DR1 photometric catalog.
DOI: 10.17876/musewide/dr.1/09908
title: Object GUO_ID 9908 in candels-cdfs-25

description: A spectrum of the MUSE-Wide survey DR1 photometric catalog.
DOI: 10.17876/musewide/dr.1/09910
title: Object GUO_ID 9910 in candels-cdfs-28

description: A spectrum of the MUSE-Wide survey DR1 photometric catalog.
DOI: 10.17876/musewide/dr.1/09911
title: Object GUO_ID 9911 in candels-cdfs-21

description: A spectrum of the MUSE-Wide survey DR1 photometric catalog.
DOI: 10.17876/musewide/dr.1/09912
title: Object GUO_ID 9912 in candels-cdfs-24

description: A spectrum of the MUSE-Wide survey DR1 photometric catalog.
DOI: 10.17876/musewide/dr.1/09913
title: Object GUO_ID 9913 in candels-cdfs-02

description: A spectrum of the MUSE-Wide survey DR1 photometric catalog.
DOI: 10.15468/dl.h4u58w
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Gypsophila scorzonerifolia",
 "Country is Slovakia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012284-250914085247600/datasets/export for details.
DOI: 10.17876/musewide/dr.1/09914
title: Object GUO_ID 9914 in candels-cdfs-24

description: A spectrum of the MUSE-Wide survey DR1 photometric catalog.
DOI: 10.17876/musewide/dr.1/09915
title: Object GUO_ID 9915 in candels-cdfs-13

description: A spectrum of the MUSE-Wide survey DR1 photometric catalog.
DOI: 10.17876/musewide/dr.1/09916
title: Object GUO_ID 9916 in candels-cdfs-13

description: A spectrum of the MUSE-Wide survey DR1 photometric catalog.
DOI: 10.17876/musewide/dr.1/09917
title: Object GUO_ID 9917 in candels-cdfs-25

description: A spectrum of the MUSE-Wide survey DR1 photometric catalog.
DOI: 10.17876/musewide/dr.1/09918
title: Object GUO_ID 9918 in candels-cdfs-26

description: A spectrum of the MUSE-Wide survey DR1 photometric catalog.
DOI: 10.17876/musewide/dr.1/09919
title: Object GUO_ID 9919 in candels-cdfs-07

description: A spectrum of the MUSE-Wide survey DR1 photometric catalog.
DOI: 10.6084/m9.figshare.30153076
title: On the Algorithmic Bias of Aligning Large Language Models with RLHF: Preference Collapse and Matching Regularization

description: Accurately aligning large language models (LLMs) with human preferences is crucial for informing fair, economically sound, and statistically efficient decision-making processes. However, we argue that the predominant approach for aligning LLMs with human preferences through a reward model—reinforcement learning from human feedback (RLHF)—suffers from an inherent algorithmic bias due to its Kullback–Leibler-based regularization in optimization. In extreme cases, this bias could lead to a phenomenon we term preference collapse, where minority preferences are virtually disregarded. To mitigate this algorithmic bias, we introduce preference matching (PM) RLHF, a novel approach that <i>provably</i> aligns LLMs with the preference distribution of the reward model under the Bradley–Terry–Luce/Plackett–Luce model. Central to our approach is a PM regularizer that takes the form of the negative logarithm of the LLM’s policy probability distribution over responses, which helps the LLM balance response diversification and reward maximization. Notably, we obtain this regularizer by solving an ordinary differential equation that is necessary for the PM property. For practical implementation, we introduce a conditional variant of PM RLHF that is tailored to natural language generation. Finally, we empirically validate the effectiveness of conditional PM RLHF through experiments on the OPT and Llama-family models, demonstrating a 29% to 41% improvement in alignment with human preferences, as measured by a certain metric, compared to standard RLHF.
DOI: 10.6084/m9.figshare.30153076.v1
title: On the Algorithmic Bias of Aligning Large Language Models with RLHF: Preference Collapse and Matching Regularization

description: Accurately aligning large language models (LLMs) with human preferences is crucial for informing fair, economically sound, and statistically efficient decision-making processes. However, we argue that the predominant approach for aligning LLMs with human preferences through a reward model—reinforcement learning from human feedback (RLHF)—suffers from an inherent algorithmic bias due to its Kullback–Leibler-based regularization in optimization. In extreme cases, this bias could lead to a phenomenon we term preference collapse, where minority preferences are virtually disregarded. To mitigate this algorithmic bias, we introduce preference matching (PM) RLHF, a novel approach that <i>provably</i> aligns LLMs with the preference distribution of the reward model under the Bradley–Terry–Luce/Plackett–Luce model. Central to our approach is a PM regularizer that takes the form of the negative logarithm of the LLM’s policy probability distribution over responses, which helps the LLM balance response diversification and reward maximization. Notably, we obtain this regularizer by solving an ordinary differential equation that is necessary for the PM property. For practical implementation, we introduce a conditional variant of PM RLHF that is tailored to natural language generation. Finally, we empirically validate the effectiveness of conditional PM RLHF through experiments on the OPT and Llama-family models, demonstrating a 29% to 41% improvement in alignment with human preferences, as measured by a certain metric, compared to standard RLHF.
DOI: 10.17876/musewide/dr.1/09921
title: Object GUO_ID 9921 in candels-cdfs-07

description: A spectrum of the MUSE-Wide survey DR1 photometric catalog.
DOI: 10.17876/musewide/dr.1/09922
title: Object GUO_ID 9922 in candels-cdfs-33

description: A spectrum of the MUSE-Wide survey DR1 photometric catalog.
DOI: 10.17876/musewide/dr.1/09923
title: Object GUO_ID 9923 in candels-cdfs-07

description: A spectrum of the MUSE-Wide survey DR1 photometric catalog.
DOI: 10.17876/musewide/dr.1/09924
title: Object GUO_ID 9924 in candels-cdfs-24

description: A spectrum of the MUSE-Wide survey DR1 photometric catalog.
DOI: 10.17876/musewide/dr.1/09925
title: Object GUO_ID 9925 in candels-cdfs-07

description: A spectrum of the MUSE-Wide survey DR1 photometric catalog.
DOI: 10.17876/musewide/dr.1/09927
title: Object GUO_ID 9927 in candels-cdfs-33

description: A spectrum of the MUSE-Wide survey DR1 photometric catalog.
DOI: 10.17876/musewide/dr.1/09928
title: Object GUO_ID 9928 in candels-cdfs-07

description: A spectrum of the MUSE-Wide survey DR1 photometric catalog.
DOI: 10.17876/musewide/dr.1/09929
title: Object GUO_ID 9929 in candels-cdfs-02

description: A spectrum of the MUSE-Wide survey DR1 photometric catalog.
DOI: 10.17876/musewide/dr.1/09930
title: Object GUO_ID 9930 in candels-cdfs-12

description: A spectrum of the MUSE-Wide survey DR1 photometric catalog.
DOI: 10.17876/musewide/dr.1/09931
title: Object GUO_ID 9931 in candels-cdfs-02

description: A spectrum of the MUSE-Wide survey DR1 photometric catalog.
DOI: 10.17876/musewide/dr.1/09932
title: Object GUO_ID 9932 in candels-cdfs-21

description: A spectrum of the MUSE-Wide survey DR1 photometric catalog.
DOI: 10.17876/musewide/dr.1/09933
title: Object GUO_ID 9933 in candels-cdfs-28

description: A spectrum of the MUSE-Wide survey DR1 photometric catalog.
DOI: 10.17876/musewide/dr.1/09934
title: Object GUO_ID 9934 in candels-cdfs-26

description: A spectrum of the MUSE-Wide survey DR1 photometric catalog.
DOI: 10.17876/musewide/dr.1/09936
title: Object GUO_ID 9936 in candels-cdfs-33

description: A spectrum of the MUSE-Wide survey DR1 photometric catalog.