cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.21227/3kbp-zm73
title: "Leaf-12"

description: "The Leaf-12 dataset comprises 12 plant species, with each species represented as a separate class folder: Bottle gourd, Citron, Gooseberry, Indian abutilon, Indian borage, Jackfruit, Jasmine, Jungle flame, Rose, Sugar apple, Turkey berry, and Wood apple. Each class contains 320 leaf images, leading to a total of 3,840 images across the dataset. All images are organized into folders by class. The images in the dataset are captured by varying the illumination, scale changes, orientation or viewpoint modification, and different backgroundsThe dataset is suited for training and evaluating plant classification and medicinal plant recognition models.   "
DOI: 10.15468/dl.nyqgav
title: Occurrence Download

description: A dataset containing 131 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Carpobrotus acinaciformis",
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 131 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011412-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ykfzmp
title: Occurrence Download

description: A dataset containing 727 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "DatasetKey is one of (Registros de flora de los Parques Distritales Ecológicos de Montaña de Bogotá, D.C., Estudios bióticos: Plantas, edafofauna epígea, anfibios y aves del Complejo de Páramos Almorzadero y Tamá, Estudios bióticos (Plantas, Fauna Edáfica, Anfibios y Aves) en los Complejos de páramos Guantiva - La Rusia, Muestreo de la vegetación para la formulación y actualización de Planes de Manejo Ambiental en la jurisdicción de CORPOGUAVIO, iNaturalist Research-grade Observations, Estudios bióticos: Plantas, edafofauna epígea, anfibios y aves en el complejo de páramos Cruz Verde - Sumapaz, Caracterización de la vegetación en un área de páramo en proceso de recuperación en el corregimiento de Pasquilla, Bogotá, Estudios bióticos (Plantas, Fauna Edáfica, Anfibios y Aves) en los Complejos de páramos Tota-Bijagual-Mamapacha, Colección general del plantas vasculares del Herbario JBB, Rasgos funcionales de plantas, anfibios y aves en el complejo de páramos Cruz Verde - Sumapaz)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "PublishingOrg is one of (2a7e3080-28a9-11dd-97cd-b8a03c50a862, e70c4151-0d1a-414d-b70e-e87ac1e812b7, 28eb1a3f-1c15-4a95-931a-4af90ecb574d, eace4687-50e8-4f9a-829b-29ff8ff1fa8b, 69cbe3e1-ea7a-4f22-b4b8-47dd4df6e79b)",
 "TaxonKey is Hesperomeles goudotiana"
 ]
}

 The dataset includes 727 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011413-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bjztua
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Carpobrotus acinaciformis",
 "Country is Türkiye",
 "HasCoordinate is true"
 ]
}

 The dataset includes 8 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011411-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/edx7-af54
title: "cv-phone"

description: "we collected narrow field-of-view data from Zhengzhou using mobile phones and acquired corresponding Level 21 satellite data based on their geographic coordinates."
DOI: 10.21227/q8ea-5z13
title: "A Probabilistic Framework for Medical Equipment Reliability: Integrating Survival Analysis and Bayesian Learning"

description: "The increasing complexity of medical equipment, combined with operational constraints and safety requirements, poses significant challenges for healthcare technology management (HTM). Traditional failure prediction methods, including machine learning and rule-based models, often lack interpretability and fail to account for uncertainty and interdependencies among variables. To address these limitations, this study proposes a unified analytical framework that integrates survival analysis, Bayesian Networks, and Bayesian regression. Survival analysis is used to model time-to-failure and assess risk based on factors such as device age and brand. Bayesian Networks uncover conditional dependencies between lifecycle variables and support probabilistic inference under partial information. Bayesian regression quantifies the strength and uncertainty of key predictors, refining insights obtained from the network structure. Applied to maintenance data from a national public hospital network, the framework enables both descriptive and inferential analysis of equipment reliability. This study contributes a replicable and interpretable methodology to support clinical engineering decisions in complex hospital environments."
DOI: 10.6084/m9.figshare.30149959
title: Supplementary Material for: Mortality of patients with heart diseases and unplanned start of maintenance hemodialysis in the city of São Paulo, Brazil

description: Introduction: Chronic kidney disease worsens the prognosis of cardiovascular disease (CVD) and vice versa. This study aimed to evaluate the mortality of patients with a high CVD burden and unplanned start of maintenance hemodialysis (HD).
Methods: A retrospective study was performed at a tertiary cardiological hospital in São Paulo, Brazil. Hospitalized patients ≥18 years old were identified by the public chronic kidney replacement therapy (KRT) regulatory system between 01/01/2014 and 12/31/2018. In-hospital and post-discharge mortality, along with associated risk factors, were assessed. Death information up to December 31, 2022, was obtained from the state of São Paulo mortality database.
Results: 302 patients with unplanned start of HD were included. The mean age was 65±13 years old; 68% were male. The heart conditions were as follows: 60% chronic heart failure, 27% coronary artery disease, 13% arrhythmia, and 7% valve disease. Comorbidities included: 93% hypertension, 62% diabetes, 31% dyslipidemia, and 27% known CKD. The mortality rate (deaths per 100 patient-years) was 71.4 between 0 and 3 months, 23.0 between 3 and 12 months, and 39.5 over the entire 0-to-12-month period. The factors independently associated with in-hospital death were age, heart valve disease, chronic obstructive pulmonary disease, positive serology for hepatitis B, and need for HD catheter replacement. The factors associated with post-discharge death (mean±SD follow-up: 6.4±1.4 years) were age, presence of two or more heart diseases, and HD catheter-related infection. 
Conclusion: Patients with a high burden of cardiovascular morbidity and an unplanned start of HD exhibit elevated mortality rates. Some factors independently related to poorer outcomes, such as HD catheter-related complications, could potentially be mitigated through adequate pre-dialysis care.
DOI: 10.6084/m9.figshare.30149959.v1
title: Supplementary Material for: Mortality of patients with heart diseases and unplanned start of maintenance hemodialysis in the city of São Paulo, Brazil

description: Introduction: Chronic kidney disease worsens the prognosis of cardiovascular disease (CVD) and vice versa. This study aimed to evaluate the mortality of patients with a high CVD burden and unplanned start of maintenance hemodialysis (HD).
Methods: A retrospective study was performed at a tertiary cardiological hospital in São Paulo, Brazil. Hospitalized patients ≥18 years old were identified by the public chronic kidney replacement therapy (KRT) regulatory system between 01/01/2014 and 12/31/2018. In-hospital and post-discharge mortality, along with associated risk factors, were assessed. Death information up to December 31, 2022, was obtained from the state of São Paulo mortality database.
Results: 302 patients with unplanned start of HD were included. The mean age was 65±13 years old; 68% were male. The heart conditions were as follows: 60% chronic heart failure, 27% coronary artery disease, 13% arrhythmia, and 7% valve disease. Comorbidities included: 93% hypertension, 62% diabetes, 31% dyslipidemia, and 27% known CKD. The mortality rate (deaths per 100 patient-years) was 71.4 between 0 and 3 months, 23.0 between 3 and 12 months, and 39.5 over the entire 0-to-12-month period. The factors independently associated with in-hospital death were age, heart valve disease, chronic obstructive pulmonary disease, positive serology for hepatitis B, and need for HD catheter replacement. The factors associated with post-discharge death (mean±SD follow-up: 6.4±1.4 years) were age, presence of two or more heart diseases, and HD catheter-related infection. 
Conclusion: Patients with a high burden of cardiovascular morbidity and an unplanned start of HD exhibit elevated mortality rates. Some factors independently related to poorer outcomes, such as HD catheter-related complications, could potentially be mitigated through adequate pre-dialysis care.
DOI: 10.17876/musewide/dr.1/103
title: MUSE-Wide Field candels-cdfs-03

description: A field from the Muse Wide survey DR1.
DOI: 10.21227/t4bp-kr69
title: "Ager_origial_dataset"

description: "Visual emotion analysis (VEA) aims to examine the visual stimuli that trigger emotional responses.Psychological studies suggest that such stimuli are not isolated but are often evoked through the complex interrelations among multiple visual elements within an image.Psychological studies indicate that emotions are often triggered by complex interactions among various emotional attributes within an image. However, existing methods primarily extract local representations rather than explicit attribute representations, and they lack reasoning mechanisms based on attribute correlations to explain emotional states.To address these issues, we propose Attribute-Guided Emotion Reasoning (AGER), a method designed to interpret emotional triggers through fine-grained attribute reasoning. AGER incorporates a hierarchical text-guided module and a multi-level expert network to extract fine-grained and high-quality attribute representations. Furthermore, we design an Aware Reasoning Module that analyzes complex relationships among attributes and their associations with emotions to explain emotional elicitation.Extensive experiments demonstrate the effectiveness of our method in emotion perception, and visualizations of fine-grained emotional attributes further verify the interpretability of our approach."
DOI: 10.17876/musewide/dr.1/104
title: MUSE-Wide Field candels-cdfs-04

description: A field from the Muse Wide survey DR1.
DOI: 10.17876/musewide/dr.1/105
title: MUSE-Wide Field candels-cdfs-05

description: A field from the Muse Wide survey DR1.
DOI: 10.15468/dl.fgcr6k
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Marcia cordata",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Occurrence evidence)",
 {
 "not" : {
 "OccurrenceStatus" : [
 "is one of (Absent)"
 ]
 }
 }
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011415-250914085247600/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.1/106
title: MUSE-Wide Field candels-cdfs-06

description: A field from the Muse Wide survey DR1.
DOI: 10.17876/musewide/dr.1/107
title: MUSE-Wide Field candels-cdfs-07

description: A field from the Muse Wide survey DR1.
DOI: 10.15468/dl.pfcht5
title: Occurrence Download

description: A dataset containing 3421390 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Canada",
 "DatasetKey is iNaturalist Research-grade Observations",
 "TaxonKey is Plantae",
 "Year 2020-2025"
 ]
}

 The dataset includes 3421390 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011398-250914085247600/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.1/108
title: MUSE-Wide Field candels-cdfs-08

description: A field from the Muse Wide survey DR1.
DOI: 10.17876/musewide/dr.1/109
title: MUSE-Wide Field candels-cdfs-09

description: A field from the Muse Wide survey DR1.
DOI: 10.17876/musewide/dr.1/110
title: MUSE-Wide Field candels-cdfs-10

description: A field from the Muse Wide survey DR1.
DOI: 10.17876/musewide/dr.1/111
title: MUSE-Wide Field candels-cdfs-11

description: A field from the Muse Wide survey DR1.
DOI: 10.17876/musewide/dr.1/112
title: MUSE-Wide Field candels-cdfs-12

description: A field from the Muse Wide survey DR1.
DOI: 10.17876/musewide/dr.1/113
title: MUSE-Wide Field candels-cdfs-13

description: A field from the Muse Wide survey DR1.
DOI: 10.17876/musewide/dr.1/114
title: MUSE-Wide Field candels-cdfs-14

description: A field from the Muse Wide survey DR1.
DOI: 10.17876/musewide/dr.1/115
title: MUSE-Wide Field candels-cdfs-15

description: A field from the Muse Wide survey DR1.
DOI: 10.17876/musewide/dr.1/116
title: MUSE-Wide Field candels-cdfs-16

description: A field from the Muse Wide survey DR1.
DOI: 10.17876/musewide/dr.1/117
title: MUSE-Wide Field candels-cdfs-17

description: A field from the Muse Wide survey DR1.
DOI: 10.17876/musewide/dr.1/118
title: MUSE-Wide Field candels-cdfs-18

description: A field from the Muse Wide survey DR1.
DOI: 10.17876/musewide/dr.1/119
title: MUSE-Wide Field candels-cdfs-19

description: A field from the Muse Wide survey DR1.
DOI: 10.17876/musewide/dr.1/120
title: MUSE-Wide Field candels-cdfs-20

description: A field from the Muse Wide survey DR1.
DOI: 10.17876/musewide/dr.1/121
title: MUSE-Wide Field candels-cdfs-21

description: A field from the Muse Wide survey DR1.
DOI: 10.17876/musewide/dr.1/122
title: MUSE-Wide Field candels-cdfs-22

description: A field from the Muse Wide survey DR1.
DOI: 10.17876/musewide/dr.1/123
title: MUSE-Wide Field candels-cdfs-23

description: A field from the Muse Wide survey DR1.
DOI: 10.17876/musewide/dr.1/124
title: MUSE-Wide Field candels-cdfs-24

description: A field from the Muse Wide survey DR1.
DOI: 10.17876/musewide/dr.1/125
title: MUSE-Wide Field candels-cdfs-25

description: A field from the Muse Wide survey DR1.
DOI: 10.17876/musewide/dr.1/126
title: MUSE-Wide Field candels-cdfs-26

description: A field from the Muse Wide survey DR1.
DOI: 10.17876/musewide/dr.1/128
title: MUSE-Wide Field candels-cdfs-28

description: A field from the Muse Wide survey DR1.
DOI: 10.17876/musewide/dr.1/129
title: MUSE-Wide Field candels-cdfs-29

description: A field from the Muse Wide survey DR1.
DOI: 10.17876/musewide/dr.1/130
title: MUSE-Wide Field candels-cdfs-30

description: A field from the Muse Wide survey DR1.
DOI: 10.17876/musewide/dr.1/131
title: MUSE-Wide Field candels-cdfs-31

description: A field from the Muse Wide survey DR1.
DOI: 10.17876/musewide/dr.1/132
title: MUSE-Wide Field candels-cdfs-32

description: A field from the Muse Wide survey DR1.
DOI: 10.17876/musewide/dr.1/133
title: MUSE-Wide Field candels-cdfs-33

description: A field from the Muse Wide survey DR1.
DOI: 10.17876/musewide/dr.1/134
title: MUSE-Wide Field candels-cdfs-34

description: A field from the Muse Wide survey DR1.
DOI: 10.17876/musewide/dr.1/135
title: MUSE-Wide Field candels-cdfs-35

description: A field from the Muse Wide survey DR1.
DOI: 10.17876/musewide/dr.1/136
title: MUSE-Wide Field candels-cdfs-36

description: A field from the Muse Wide survey DR1.
DOI: 10.17876/musewide/dr.1/137
title: MUSE-Wide Field candels-cdfs-37

description: A field from the Muse Wide survey DR1.
DOI: 10.17876/musewide/dr.1/139
title: MUSE-Wide Field candels-cdfs-39

description: A field from the Muse Wide survey DR1.
DOI: 10.17876/musewide/dr.1/140
title: MUSE-Wide Field candels-cdfs-40

description: A field from the Muse Wide survey DR1.
DOI: 10.17876/musewide/dr.1/141
title: MUSE-Wide Field candels-cdfs-41

description: A field from the Muse Wide survey DR1.
DOI: 10.17876/musewide/dr.1/142
title: MUSE-Wide Field candels-cdfs-42

description: A field from the Muse Wide survey DR1.
DOI: 10.17876/musewide/dr.1/143
title: MUSE-Wide Field candels-cdfs-43

description: A field from the Muse Wide survey DR1.
DOI: 10.17876/musewide/dr.1/144
title: MUSE-Wide Field candels-cdfs-44

description: A field from the Muse Wide survey DR1.
DOI: 10.17876/musewide/dr.1/145
title: MUSE-Wide Field candels-cdfs-45

description: A field from the Muse Wide survey DR1.
DOI: 10.17876/musewide/dr.1/146
title: MUSE-Wide Field candels-cdfs-46

description: A field from the Muse Wide survey DR1.
DOI: 10.17876/musewide/dr.1/10000
title: Object GUO_ID 10000 in candels-cdfs-02

description: A spectrum of the MUSE-Wide survey DR1 photometric catalog.
DOI: 10.17876/musewide/dr.1/10001
title: Object GUO_ID 10001 in candels-cdfs-07

description: A spectrum of the MUSE-Wide survey DR1 photometric catalog.
DOI: 10.17876/musewide/dr.1/10002
title: Object GUO_ID 10002 in candels-cdfs-07

description: A spectrum of the MUSE-Wide survey DR1 photometric catalog.
DOI: 10.17876/musewide/dr.1/10003
title: Object GUO_ID 10003 in candels-cdfs-28

description: A spectrum of the MUSE-Wide survey DR1 photometric catalog.
DOI: 10.17876/musewide/dr.1/10004
title: Object GUO_ID 10004 in candels-cdfs-26

description: A spectrum of the MUSE-Wide survey DR1 photometric catalog.
DOI: 10.17876/musewide/dr.1/10005
title: Object GUO_ID 10005 in candels-cdfs-07

description: A spectrum of the MUSE-Wide survey DR1 photometric catalog.
DOI: 10.17876/musewide/dr.1/10006
title: Object GUO_ID 10006 in candels-cdfs-02

description: A spectrum of the MUSE-Wide survey DR1 photometric catalog.
DOI: 10.17876/musewide/dr.1/10008
title: Object GUO_ID 10008 in candels-cdfs-12

description: A spectrum of the MUSE-Wide survey DR1 photometric catalog.
DOI: 10.17876/musewide/dr.1/10009
title: Object GUO_ID 10009 in candels-cdfs-07

description: A spectrum of the MUSE-Wide survey DR1 photometric catalog.
DOI: 10.17876/musewide/dr.1/10010
title: Object GUO_ID 10010 in candels-cdfs-26

description: A spectrum of the MUSE-Wide survey DR1 photometric catalog.
DOI: 10.17876/musewide/dr.1/10011
title: Object GUO_ID 10011 in candels-cdfs-07

description: A spectrum of the MUSE-Wide survey DR1 photometric catalog.
DOI: 10.17876/musewide/dr.1/10013
title: Object GUO_ID 10013 in candels-cdfs-33

description: A spectrum of the MUSE-Wide survey DR1 photometric catalog.
DOI: 10.17876/musewide/dr.1/10014
title: Object GUO_ID 10014 in candels-cdfs-02

description: A spectrum of the MUSE-Wide survey DR1 photometric catalog.
DOI: 10.15468/dl.pxb5kj
title: Occurrence Download

description: A dataset containing 122 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Marcia hiantina",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Occurrence evidence)",
 {
 "not" : {
 "OccurrenceStatus" : [
 "is one of (Absent)"
 ]
 }
 }
 ]
}

 The dataset includes 122 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011421-250914085247600/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.1/10015
title: Object GUO_ID 10015 in candels-cdfs-12

description: A spectrum of the MUSE-Wide survey DR1 photometric catalog.
DOI: 10.17876/musewide/dr.1/10016
title: Object GUO_ID 10016 in candels-cdfs-07

description: A spectrum of the MUSE-Wide survey DR1 photometric catalog.
DOI: 10.15468/dl.94xpdm
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tetragonia tetragonoides",
 "Country is Austria",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011417-250914085247600/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.1/10017
title: Object GUO_ID 10017 in candels-cdfs-12

description: A spectrum of the MUSE-Wide survey DR1 photometric catalog.
DOI: 10.17876/musewide/dr.1/10019
title: Object GUO_ID 10019 in candels-cdfs-07

description: A spectrum of the MUSE-Wide survey DR1 photometric catalog.
DOI: 10.15468/dl.y35x9j
title: Occurrence Download

description: A dataset containing 77 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tetragonia tetragonoides",
 "Country is Brazil",
 "HasCoordinate is true"
 ]
}

 The dataset includes 77 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011418-250914085247600/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.1/10020
title: Object GUO_ID 10020 in candels-cdfs-26

description: A spectrum of the MUSE-Wide survey DR1 photometric catalog.
DOI: 10.17876/musewide/dr.1/10021
title: Object GUO_ID 10021 in candels-cdfs-26

description: A spectrum of the MUSE-Wide survey DR1 photometric catalog.
DOI: 10.17876/musewide/dr.1/10022
title: Object GUO_ID 10022 in candels-cdfs-07

description: A spectrum of the MUSE-Wide survey DR1 photometric catalog.
DOI: 10.15468/dl.qrvhf7
title: Occurrence Download

description: A dataset containing 47 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tetragonia tetragonoides",
 "Country is Chile",
 "HasCoordinate is true"
 ]
}

 The dataset includes 47 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011419-250914085247600/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.1/10023
title: Object GUO_ID 10023 in candels-cdfs-21

description: A spectrum of the MUSE-Wide survey DR1 photometric catalog.
DOI: 10.17876/musewide/dr.1/10024
title: Object GUO_ID 10024 in candels-cdfs-13

description: A spectrum of the MUSE-Wide survey DR1 photometric catalog.
DOI: 10.17876/musewide/dr.1/10025
title: Object GUO_ID 10025 in candels-cdfs-33

description: A spectrum of the MUSE-Wide survey DR1 photometric catalog.
DOI: 10.17876/musewide/dr.1/10026
title: Object GUO_ID 10026 in candels-cdfs-24

description: A spectrum of the MUSE-Wide survey DR1 photometric catalog.
DOI: 10.17876/musewide/dr.1/10027
title: Object GUO_ID 10027 in candels-cdfs-24

description: A spectrum of the MUSE-Wide survey DR1 photometric catalog.
DOI: 10.17876/musewide/dr.1/10028
title: Object GUO_ID 10028 in candels-cdfs-07

description: A spectrum of the MUSE-Wide survey DR1 photometric catalog.
DOI: 10.17876/musewide/dr.1/10029
title: Object GUO_ID 10029 in candels-cdfs-25

description: A spectrum of the MUSE-Wide survey DR1 photometric catalog.
DOI: 10.17876/musewide/dr.1/10030
title: Object GUO_ID 10030 in candels-cdfs-24

description: A spectrum of the MUSE-Wide survey DR1 photometric catalog.
DOI: 10.17876/musewide/dr.1/10033
title: Object GUO_ID 10033 in candels-cdfs-07

description: A spectrum of the MUSE-Wide survey DR1 photometric catalog.
DOI: 10.17876/musewide/dr.1/10034
title: Object GUO_ID 10034 in candels-cdfs-28

description: A spectrum of the MUSE-Wide survey DR1 photometric catalog.
DOI: 10.17876/musewide/dr.1/10036
title: Object GUO_ID 10036 in candels-cdfs-33

description: A spectrum of the MUSE-Wide survey DR1 photometric catalog.
DOI: 10.17876/musewide/dr.1/10037
title: Object GUO_ID 10037 in candels-cdfs-13

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