cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5061/dryad.k05cb25
title: Data from: UiO-66 supported Fe catalyst: a vapor deposition preparation method and its superior catalytic performance for removal of organic pollutants in water

description: A vapor deposition (VD) method was established for preparation of UiO-66
 supported Fe (Fe/UiO-66) catalyst, which provided the first case of
 metal-organic framework (MOF) -supported Fe catalyst prepared by using
 vapor-based method. The Fe loading was around 7.0 ~8.5 wt% under present
 preparation conditions. The crystal structure of UiO-66 was not obviously
 influenced by the Fe loading, while the surface area significantly
 decreased, implicating most of the Fe components resided within the pores
 on UiO-66. The results for the methyl orange (MO) removal tests showed
 that MO in aqueous solution can be removed by UiO-66 by adsorption, and in
 contrast, it can be oxidized by H2O2 with the catalysis of Fe/UiO-66.
 Further catalytic tests showed that Fe/UiO-66 was rather effective to
 catalyze the oxidation of benzene derivatives like aniline in water in
 terms of chemical oxygen demand (COD) removal efficiency. The catalytic
 tests results for Fe/UiO-66 were compared to that of Fe/Al2O3 with a same
 Fe loading, as well as compared to the catalysts reported in the
 literature. This paper provides a general strategy for VD preparation of
 MOF-supported Fe catalyst on one hand, and new catalysts for removing
 organic pollutants from water on the other hand.
description: Characterization of
 catalysts with techniques of XRD, TG, etc.The crystal structure of
 a certain sample was evaluated by powder X-ray diffraction (XRD, D8
 Advance, Germany) using Cu Kα radiation (λ= 0.15418 nm) at 40 kV, 30 mA,
 with a scan step of 0.02° and a 2θ ranging from 5 to 75 °. The 77K-N2
 adsorption-desorption isotherm of a certain sample was measured by using a
 Micromeritcs ASAP2010 instrument. Then the specific surface area and
 pore-size distribution of this catalyst was calculated using the
 Brunauer–Emmett–Teller (BET) method for the adsorption branch and the
 Barret–Joyner–Halenda (BJH) method for a desorption branch, respectively.
 The thermogravimetric (TG) analysis of a certain catalyst was carried out
 in an air flow of 50 ml/min by using a HCT-1 thermal analytical
 instrument. The sample weight was ~10 mg and the typical heating rate was
 10 K/min.data-for-deposition-in-Dryad.rar
DOI: 10.5061/dryad.84b178d
title: Data from: The devil you know: self-esteem and switching responses to poor service

description: We investigate a psychological factor regulating consumers’ switching in
 response to poor service quality: chronic global self-esteem. Whereas high
 self-esteem consumers tend to switch to other providers in response to
 poor service quality, low self-esteem consumers often do not. This happens
 because low self-esteem consumers who experience poor service become
 risk-averse, and therefore reluctant to engage in new committed service
 relationships. Indeed, low self-esteem consumers’ likelihood to switch to
 an alternative provider in response to poor service quality increases when
 this provider offers a less risky, low commitment (vs. more risky, high
 commitment) contract. Moreover, experimentally reducing low self-esteem
 consumers’ risk aversion increases their likelihood to switch to
 alternative providers in response to poor service quality. Finally, low
 self-esteem consumers’ risk aversion mediates their reluctance to switch
 in response to poor service. We rule out failure severity perceptions,
 power, autonomy, affect, and action-orientation as alternative
 explanations. The implication of this research for public policy makers is
 that promoting competition (by offering consumers options and by reducing
 switching costs) may not be enough to protect the welfare of low
 self-esteem consumers. We also suggest ways in which firms can untie
 vulnerable consumers from negative service relationships.
description: The Devil You Know
 datasets
DOI: 10.15468/dl.kgjhua
title: Occurrence Download

description: A dataset containing 2025574 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "OccurrenceStatus is Present",
 "Year 2023-2024"
 ]
}

 The dataset includes 2025574 records from 968 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001533-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25346/s6lqjm3j/n6w2ew
title: msXV_060r_MMSI+RTI+Arc_D06_067_F.tif
DOI: 10.25346/s6lqjm3j/1h6bee
title: msXV_060r_MMSI+RTI+Arc_D04_066_F.tif
DOI: 10.25346/s6lqjm3j/rpkb5q
title: msXV_060r_MMSI+RTI+Arc_D02_065_F.tif
DOI: 10.25346/s6lqjm3j/gcq3dv
title: msXV_060r_MMSI+RTI+Arc_C15_064_F.tif
DOI: 10.25346/s6lqjm3j/tluhgk
title: msXV_060r_MMSI+RTI+Arc_C13_063_F.tif
DOI: 10.25346/s6lqjm3j/qizklu
title: msXV_060r_MMSI+RTI+Arc_C11_062_F.tif
DOI: 10.25346/s6lqjm3j/hsahih
title: msXV_060r_MMSI+RTI+Arc_C09_061_F.tif
DOI: 10.15468/dl.mg85f4
title: Occurrence Download

description: A dataset containing 1653 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Schoenoplectus acutus occidentalis"
 ]
}

 The dataset includes 1653 records from 103 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032077-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25346/s6lqjm3j/vcnabt
title: msXV_060r_MMSI+RTI+Arc_C07_060_F.tif
DOI: 10.25346/s6lqjm3j/fv3qci
title: msXV_060r_MMSI+RTI+Arc_C05_059_F.tif
DOI: 10.25346/s6lqjm3j/n1pgbk
title: msXV_060r_MMSI+RTI+Arc_C03_058_F.tif
DOI: 10.25346/s6lqjm3j/nu8fdx
title: msXV_060r_MMSI+RTI+Arc_C01_057_F.tif
DOI: 10.25346/s6lqjm3j/maphoa
title: msXV_060r_MMSI+RTI+Arc_B16_056_F.tif
DOI: 10.25346/s6lqjm3j/ngrznf
title: msXV_060r_MMSI+RTI+Arc_B14_055_F.tif
DOI: 10.25346/s6lqjm3j/pkgu7o
title: msXV_060r_MMSI+RTI+Arc_B12_054_F.tif
DOI: 10.25346/s6lqjm3j/2c3jvv
title: msXV_060r_MMSI+RTI+Arc_B10_053_F.tif
DOI: 10.25346/s6lqjm3j/x1b5dx
title: msXV_060r_MMSI+RTI+Arc_B08_052_F.tif
DOI: 10.25346/s6lqjm3j/yqekuc
title: msXV_060r_MMSI+RTI+Arc_B06_051_F.tif
DOI: 10.25346/s6lqjm3j/rhqrcc
title: msXV_060r_MMSI+RTI+Arc_B04_050_F.tif
DOI: 10.25346/s6lqjm3j/o1e5km
title: msXV_060r_MMSI+RTI+Arc_B02_049_F.tif
DOI: 10.25346/s6lqjm3j/xpk3yi
title: msXV_060r_MMSI+RTI+Arc_A15_048_F.tif
DOI: 10.25346/s6lqjm3j/ivrgey
title: msXV_060r_MMSI+RTI+Arc_A13_047_F.tif
DOI: 10.25346/s6lqjm3j/alqf8d
title: msXV_060r_MMSI+RTI+Arc_A11_046_F.tif
DOI: 10.25346/s6lqjm3j/rvpxl5
title: msXV_060r_MMSI+RTI+Arc_A09_045_F.tif
DOI: 10.15468/dl.v37w36
title: Occurrence Download

description: A dataset containing 25762 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "GadmGid is COL.2_2",
 "OccurrenceStatus is Present",
 "TaxonKey is Melastomataceae"
 ]
}

 The dataset includes 25762 records from 108 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032076-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25346/s6lqjm3j/zz9xyd
title: msXV_060r_MMSI+RTI+Arc_A07_044_F.tif
DOI: 10.25346/s6lqjm3j/wzmdjs
title: msXV_060r_MMSI+RTI+Arc_A05_043_F.tif
DOI: 10.25346/s6lqjm3j/v4dm7t
title: msXV_060r_MMSI+RTI+Arc_A03_042_F.tif
DOI: 10.25346/s6lqjm3j/lx4h3y
title: msXV_060r_MMSI+RTI+Arc_A01_041_F.tif
DOI: 10.25346/s6lqjm3j/lfqdpt
title: msXV_059_empty_MMSI+RTI+M1050IR_019_F.tif
DOI: 10.25346/s6lqjm3j/vxe2wr
title: msXV_059_empty_MMSI+RTI+M0940IR_018_F.tif
DOI: 10.25346/s6lqjm3j/wopmqd
title: msXV_059_empty_MMSI+RTI+M0850IR_017_F.tif
DOI: 10.25346/s6lqjm3j/4niqcn
title: msXV_059_empty_MMSI+RTI+M0780IR_016_F.tif
DOI: 10.25346/s6lqjm3j/fdtabv
title: msXV_059_empty_MMSI+RTI+M0735IR_015_F.tif
DOI: 10.25346/s6lqjm3j/4mu6ez
title: msXV_059_empty_MMSI+RTI+M0700IR_014_F.tif
DOI: 10.25346/s6lqjm3j/0o7mfg
title: msXV_059_empty_MMSI+RTI+M0655DR_013_F.tif
DOI: 10.25346/s6lqjm3j/gqdqdq
title: msXV_059_empty_MMSI+RTI+M0630RD_012_F.tif
DOI: 10.25346/s6lqjm3j/g7iacy
title: msXV_059_empty_MMSI+RTI+M0615RO_011_F.tif
DOI: 10.25346/s6lqjm3j/imyjew
title: msXV_059_empty_MMSI+RTI+M0590AM_010_F.tif
DOI: 10.25346/s6lqjm3j/0fbnjm
title: msXV_059_empty_MMSI+RTI+M0560LI_009_F.tif
DOI: 10.25346/s6lqjm3j/aoyk4n
title: msXV_059_empty_MMSI+RTI+M0530GN_008_F.tif
DOI: 10.25346/s6lqjm3j/krdqd8
title: msXV_059_empty_MMSI+RTI+M0505CN_007_F.tif
DOI: 10.25346/s6lqjm3j/rh9gnv
title: msXV_059_empty_MMSI+RTI+M0470LB_006_F.tif
DOI: 10.25346/s6lqjm3j/5mscny
title: msXV_059_empty_MMSI+RTI+M0450RB_005_F.tif
DOI: 10.25346/s6lqjm3j/syptx4
title: msXV_059_empty_MMSI+RTI+M0420VI_004_F.tif
DOI: 10.25346/s6lqjm3j/xvu3g6
title: msXV_059_empty_MMSI+RTI+M0400UV_003_F.tif
DOI: 10.25346/s6lqjm3j/mnm6pn
title: msXV_059_empty_MMSI+RTI+M0385UV_002_F.tif
DOI: 10.25346/s6lqjm3j/mgh6sb
title: msXV_059_empty_MMSI+RTI+M0365UV_001_F.tif
DOI: 10.25346/s6lqjm3j/bzge0l
title: msXV_059v_MMSI+RTI+M1050IR_019_F.tif
DOI: 10.25346/s6lqjm3j/tyq6lg
title: msXV_059v_MMSI+RTI+M0940IR_018_F.tif
DOI: 10.25346/s6lqjm3j/ift2ol
title: msXV_059v_MMSI+RTI+M0850IR_017_F.tif
DOI: 10.25346/s6lqjm3j/haulzt
title: msXV_059v_MMSI+RTI+M0780IR_016_F.tif
DOI: 10.25346/s6lqjm3j/kx4cos
title: msXV_059v_MMSI+RTI+M0735IR_015_F.tif
DOI: 10.25346/s6lqjm3j/ddwcfw
title: msXV_059v_MMSI+RTI+M0700IR_014_F.tif
DOI: 10.25346/s6lqjm3j/o6nad5
title: msXV_059v_MMSI+RTI+M0655DR_013_F.tif
DOI: 10.25346/s6lqjm3j/e2zzqb
title: msXV_059v_MMSI+RTI+M0630RD_012_F.tif
DOI: 10.25346/s6lqjm3j/xx2qmp
title: msXV_059v_MMSI+RTI+M0615RO_011_F.tif
DOI: 10.25346/s6lqjm3j/jmegin
title: msXV_059v_MMSI+RTI+M0590AM_010_F.tif
DOI: 10.25346/s6lqjm3j/p3shlb
title: msXV_059v_MMSI+RTI+M0560LI_009_F.tif
DOI: 10.15468/dl.38hdnv
title: Occurrence Download

description: A dataset listing the 3 species recorded in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tupaia picta"
 ]
}

 The dataset's 3 records were derived from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032073-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25346/s6lqjm3j/eed4pn
title: msXV_059v_MMSI+RTI+M0530GN_008_F.tif
DOI: 10.25346/s6lqjm3j/ghpbns
title: msXV_059v_MMSI+RTI+M0505CN_007_F.tif
DOI: 10.25346/s6lqjm3j/j7akhs
title: msXV_059v_MMSI+RTI+M0470LB_006_F.tif
DOI: 10.25346/s6lqjm3j/yk3ktv
title: msXV_059v_MMSI+RTI+M0450RB_005_F.tif
DOI: 10.5281/zenodo.17604875
title: COVID-19 Glossary and Adverse Event Observations: Independent Compilation of Terms, Data, and Field Reports

description:  

This publication consolidates two complementary resources developed to bring clarity, structure, and transparency to one of the most chaotic information environments of our era: the COVID-19 crisis and the global vaccination rollout. The first document is an extensive, multi-lingual glossary of COVID-related terminology—abbreviations, acronyms, jargon, and technical language—assembled to cut through noise, eliminate ambiguity, and support readers who need operational clarity in a landscape dominated by shifting definitions and inconsistent communication.

 

The second document compiles informal, ground-level data on adverse events, serious adverse events, and post-vaccination fatalities. These entries stem from real-world observations, anecdotal reports, and locally gathered cases. While not a formal epidemiological dataset, it provides a candid snapshot of patterns that many institutions overlooked, downplayed, or failed to document. The intention is simple: give readers unfiltered access to what people actually reported, so informed assessments are possible without institutional gatekeeping.

 

Together, these documents function as a knowledge base for researchers, analysts, policymakers, journalists, and citizens who want to navigate the COVID-19 narrative with precision instead of confusion. The work is independent, uncompromising, and designed to support critical thinking in an environment where data quality has too often been compromised by politics, censorship, or commercial interests.

 

This release on Zenodo aims to preserve the material in an open, durable, and citable format—ensuring public access to information that, in many cases, was scattered, siloed, or at risk of being lost.
DOI: 10.5281/zenodo.17604876
title: COVID-19 Glossary and Adverse Event Observations: Independent Compilation of Terms, Data, and Field Reports

description:  

This publication consolidates two complementary resources developed to bring clarity, structure, and transparency to one of the most chaotic information environments of our era: the COVID-19 crisis and the global vaccination rollout. The first document is an extensive, multi-lingual glossary of COVID-related terminology—abbreviations, acronyms, jargon, and technical language—assembled to cut through noise, eliminate ambiguity, and support readers who need operational clarity in a landscape dominated by shifting definitions and inconsistent communication.

 

The second document compiles informal, ground-level data on adverse events, serious adverse events, and post-vaccination fatalities. These entries stem from real-world observations, anecdotal reports, and locally gathered cases. While not a formal epidemiological dataset, it provides a candid snapshot of patterns that many institutions overlooked, downplayed, or failed to document. The intention is simple: give readers unfiltered access to what people actually reported, so informed assessments are possible without institutional gatekeeping.

 

Together, these documents function as a knowledge base for researchers, analysts, policymakers, journalists, and citizens who want to navigate the COVID-19 narrative with precision instead of confusion. The work is independent, uncompromising, and designed to support critical thinking in an environment where data quality has too often been compromised by politics, censorship, or commercial interests.

 

This release on Zenodo aims to preserve the material in an open, durable, and citable format—ensuring public access to information that, in many cases, was scattered, siloed, or at risk of being lost.
DOI: 10.25346/s6lqjm3j/gyjjdu
title: msXV_059v_MMSI+RTI+M0420VI_004_F.tif
DOI: 10.25346/s6lqjm3j/yjioom
title: msXV_059v_MMSI+RTI+M0400UV_003_F.tif
DOI: 10.25346/s6lqjm3j/zyjazd
title: msXV_059v_MMSI+RTI+M0385UV_002_F.tif
DOI: 10.25346/s6lqjm3j/vcwojv
title: msXV_059v_MMSI+RTI+M0365UV_001_F.tif
DOI: 10.25346/s6lqjm3j/cjeb6i
title: msXV_058r_MMSI+RTI+M1050IR_019_F.tif
DOI: 10.25346/s6lqjm3j/4wbq2m
title: msXV_058r_MMSI+RTI+M0940IR_018_F.tif
DOI: 10.25346/s6lqjm3j/bqitx1
title: msXV_058r_MMSI+RTI+M0850IR_017_F.tif
DOI: 10.25346/s6lqjm3j/3oi9sp
title: msXV_058r_MMSI+RTI+M0780IR_016_F.tif
DOI: 10.25346/s6lqjm3j/6rdcvy
title: msXV_058r_MMSI+RTI+M0735IR_015_F.tif
DOI: 10.25346/s6lqjm3j/oq00uv
title: msXV_058r_MMSI+RTI+M0700IR_014_F.tif
DOI: 10.25346/s6lqjm3j/5fanrz
title: msXV_058r_MMSI+RTI+M0655DR_013_F.tif
DOI: 10.25346/s6lqjm3j/npixjv
title: msXV_058r_MMSI+RTI+M0630RD_012_F.tif
DOI: 10.34740/kaggle/dsv/13724829
title: Berita UNDIP
DOI: 10.25346/s6lqjm3j/v9lbv4
title: msXV_058r_MMSI+RTI+M0615RO_011_F.tif
DOI: 10.25346/s6lqjm3j/iafpd0
title: msXV_058r_MMSI+RTI+M0590AM_010_F.tif
DOI: 10.25346/s6lqjm3j/exb1nw
title: msXV_058r_MMSI+RTI+M0560LI_009_F.tif
DOI: 10.25346/s6lqjm3j/bow4u5
title: msXV_058r_MMSI+RTI+M0530GN_008_F.tif
DOI: 10.25346/s6lqjm3j/pno2oq
title: msXV_058r_MMSI+RTI+M0505CN_007_F.tif
DOI: 10.25346/s6lqjm3j/smxbut
title: msXV_058r_MMSI+RTI+M0470LB_006_F.tif
DOI: 10.25346/s6lqjm3j/aqfqdd
title: msXV_058r_MMSI+RTI+M0450RB_005_F.tif
DOI: 10.25346/s6lqjm3j/0pgilm
title: msXV_058r_MMSI+RTI+M0420VI_004_F.tif
DOI: 10.25346/s6lqjm3j/gf887s
title: msXV_058r_MMSI+RTI+M0400UV_003_F.tif
DOI: 10.25346/s6lqjm3j/jgrha5
title: msXV_058r_MMSI+RTI+M0385UV_002_F.tif
DOI: 10.25346/s6lqjm3j/05vwf7
title: msXV_058r_MMSI+RTI+M0365UV_001_F.tif
DOI: 10.25346/s6lqjm3j/jfm9e6
title: msXV_057r_MMSI+RTI+M1050IR_019_F.tif
DOI: 10.25346/s6lqjm3j/m59nke
title: msXV_057r_MMSI+RTI+M0940IR_018_F.tif
DOI: 10.25346/s6lqjm3j/00sp7l
title: msXV_057r_MMSI+RTI+M0850IR_017_F.tif
DOI: 10.25346/s6lqjm3j/dpmaur
title: msXV_057r_MMSI+RTI+M0780IR_016_F.tif
DOI: 10.25346/s6lqjm3j/qqdbs8
title: msXV_057r_MMSI+RTI+M0735IR_015_F.tif
DOI: 10.25346/s6lqjm3j/vclaqz
title: msXV_057r_MMSI+RTI+M0700IR_014_F.tif
DOI: 10.25346/s6lqjm3j/vlfvda
title: msXV_057r_MMSI+RTI+M0655DR_013_F.tif
DOI: 10.25346/s6lqjm3j/8iraon
title: msXV_057r_MMSI+RTI+M0630RD_012_F.tif
DOI: 10.25346/s6lqjm3j/fxfbsa
title: msXV_057r_MMSI+RTI+M0615RO_011_F.tif
DOI: 10.25346/s6lqjm3j/ytfdum
title: msXV_057r_MMSI+RTI+M0590AM_010_F.tif
DOI: 10.25346/s6lqjm3j/jhytwm
title: msXV_057r_MMSI+RTI+M0560LI_009_F.tif
DOI: 10.25346/s6lqjm3j/m1zjqi
title: msXV_057r_MMSI+RTI+M0530GN_008_F.tif
DOI: 10.25346/s6lqjm3j/g6rvqz
title: msXV_057r_MMSI+RTI+M0505CN_007_F.tif
DOI: 10.25346/s6lqjm3j/nq1c6d
title: msXV_057r_MMSI+RTI+M0470LB_006_F.tif
DOI: 10.25346/s6lqjm3j/glzqqr
title: msXV_057r_MMSI+RTI+M0450RB_005_F.tif
DOI: 10.25346/s6lqjm3j/hm5b8f
title: msXV_057r_MMSI+RTI+M0420VI_004_F.tif
DOI: 10.5281/zenodo.17604880
title: Machine Learning-Based Sentiment Analysis of Financial Contents in X Platform Indonesia
DOI: 10.5281/zenodo.17604879
title: Machine Learning-Based Sentiment Analysis of Financial Contents in X Platform Indonesia
DOI: 10.25346/s6lqjm3j/tr882k
title: msXV_057r_MMSI+RTI+M0400UV_003_F.tif
DOI: 10.25346/s6lqjm3j/va8mtj
title: msXV_057r_MMSI+RTI+M0385UV_002_F.tif
DOI: 10.25346/s6lqjm3j/2stkg5
title: msXV_057r_MMSI+RTI+M0365UV_001_F.tif
DOI: 10.25346/s6lqjm3j/b4qtuw
title: msXV_053v_MMSI+RTI+M1050IR_019_F.tif
DOI: 10.25346/s6lqjm3j/hiwe4v
title: msXV_053v_MMSI+RTI+M0940IR_018_F.tif
DOI: 10.25346/s6lqjm3j/evge6a
title: msXV_053v_MMSI+RTI+M0850IR_017_F.tif
DOI: 10.25346/s6lqjm3j/qjglje
title: msXV_053v_MMSI+RTI+M0780IR_016_F.tif
DOI: 10.25346/s6lqjm3j/tzlc3k
title: msXV_053v_MMSI+RTI+M0735IR_015_F.tif
DOI: 10.25346/s6lqjm3j/t56dv2
title: msXV_053v_MMSI+RTI+M0700IR_014_F.tif
DOI: 10.25346/s6lqjm3j/sdnyt5
title: msXV_053v_MMSI+RTI+M0655DR_013_F.tif
DOI: 10.25346/s6lqjm3j/mxukuo
title: msXV_053v_MMSI+RTI+M0630RD_012_F.tif
DOI: 10.25346/s6lqjm3j/mykydz
title: msXV_053v_MMSI+RTI+M0615RO_011_F.tif
DOI: 10.25346/s6lqjm3j/bo38nf
title: msXV_053v_MMSI+RTI+M0590AM_010_F.tif
DOI: 10.25346/s6lqjm3j/i0axhf
title: msXV_053v_MMSI+RTI+M0560LI_009_F.tif
DOI: 10.25346/s6lqjm3j/xdozio
title: msXV_053v_MMSI+RTI+M0530GN_008_F.tif
DOI: 10.25346/s6lqjm3j/ly5wmn
title: msXV_053v_MMSI+RTI+M0505CN_007_F.tif
DOI: 10.25346/s6lqjm3j/l4ljr7
title: msXV_053v_MMSI+RTI+M0470LB_006_F.tif
DOI: 10.25346/s6lqjm3j/ug9bgm
title: msXV_053v_MMSI+RTI+M0450RB_005_F.tif
DOI: 10.25346/s6lqjm3j/5ibjc2
title: msXV_053v_MMSI+RTI+M0420VI_004_F.tif
DOI: 10.25346/s6lqjm3j/k8xj9e
title: msXV_053v_MMSI+RTI+M0400UV_003_F.tif
DOI: 10.25346/s6lqjm3j/00xrgi
title: msXV_053v_MMSI+RTI+M0385UV_002_F.tif
DOI: 10.25346/s6lqjm3j/gxfg7n
title: msXV_053v_MMSI+RTI+M0365UV_001_F.tif
DOI: 10.25346/s6lqjm3j/xpj0ra
title: msXV_050v_MMSI+RTI+W530R72_039_F.tif
DOI: 10.25346/s6lqjm3j/rn2vqw
title: msXV_050v_MMSI+RTI+W505665_040_F.tif
DOI: 10.25346/s6lqjm3j/3p6x44
title: msXV_050v_MMSI+RTI+W450R25_030_F.tif
DOI: 10.25346/s6lqjm3j/wcrlrh
title: msXV_050v_MMSI+RTI+W450G58_034_F.tif
DOI: 10.25346/s6lqjm3j/8wm46x
title: msXV_050v_MMSI+RTI+W450B47_038_F.tif
DOI: 10.25346/s6lqjm3j/xkn5gc
title: msXV_050v_MMSI+RTI+W400R25_029_F.tif
DOI: 10.25346/s6lqjm3j/ks2jua
title: msXV_050v_MMSI+RTI+W400G58_033_F.tif
DOI: 10.25346/s6lqjm3j/lqtbst
title: msXV_050v_MMSI+RTI+W400B47_037_F.tif
DOI: 10.25346/s6lqjm3j/9hfclw
title: msXV_050v_MMSI+RTI+W385R25_028_F.tif
DOI: 10.25346/s6lqjm3j/nsze7s
title: msXV_050v_MMSI+RTI+W385G58_032_F.tif
DOI: 10.25346/s6lqjm3j/ran2vy
title: msXV_050v_MMSI+RTI+W385B47_036_F.tif
DOI: 10.25346/s6lqjm3j/6rmcaw
title: msXV_050v_MMSI+RTI+W365R25_027_F.tif
DOI: 10.25346/s6lqjm3j/iwaewf
title: msXV_050v_MMSI+RTI+W365G58_031_F.tif
DOI: 10.25346/s6lqjm3j/z66dd8
title: msXV_050v_MMSI+RTI+W365B47_035_F.tif
DOI: 10.15468/dl.czxa2m
title: Occurrence Download

description: A dataset containing 43460 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "GadmGid is COL.2_2",
 "OccurrenceStatus is Present",
 "TaxonKey is Ascomycota"
 ]
}

 The dataset includes 43460 records from 87 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032078-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25346/s6lqjm3j/kfkoim
title: msXV_050v_MMSI+RTI+TX940IR_025_F.tif
DOI: 10.25346/s6lqjm3j/tdhfvn
title: msXV_050v_MMSI+RTI+TX735IR_024_F.tif
DOI: 10.25346/s6lqjm3j/idulmz
title: msXV_050v_MMSI+RTI+TX615RO_023_F.tif
DOI: 10.25346/s6lqjm3j/azp1yo
title: msXV_050v_MMSI+RTI+TX1050R_026_F.tif
DOI: 10.25346/s6lqjm3j/m5gy80
title: msXV_050v_MMSI+RTI+TX1050R_022_F.tif
DOI: 10.25346/s6lqjm3j/718so1
title: msXV_050v_MMSI+RTI+M1050IR_021_F.tif
DOI: 10.25346/s6lqjm3j/5wawot
title: msXV_050v_MMSI+RTI+M1050IR_020_F.tif
DOI: 10.25346/s6lqjm3j/vke1hw
title: msXV_050v_MMSI+RTI+M1050IR_019_F.tif
DOI: 10.25346/s6lqjm3j/lrdrcy
title: msXV_050v_MMSI+RTI+M0940IR_018_F.tif
DOI: 10.25346/s6lqjm3j/bx9ktt
title: msXV_050v_MMSI+RTI+M0850IR_017_F.tif
DOI: 10.25346/s6lqjm3j/ycpkwx
title: msXV_050v_MMSI+RTI+M0780IR_016_F.tif
DOI: 10.25346/s6lqjm3j/recbk8
title: msXV_050v_MMSI+RTI+M0735IR_015_F.tif
DOI: 10.25346/s6lqjm3j/mbm8im
title: msXV_050v_MMSI+RTI+M0700IR_014_F.tif
DOI: 10.25346/s6lqjm3j/mt9azc
title: msXV_050v_MMSI+RTI+M0655DR_013_F.tif
DOI: 10.25346/s6lqjm3j/zguxmm
title: msXV_050v_MMSI+RTI+M0630RD_012_F.tif
DOI: 10.25346/s6lqjm3j/zp4op1
title: msXV_050v_MMSI+RTI+M0615RO_011_F.tif
DOI: 10.25346/s6lqjm3j/kjzy2o
title: msXV_050v_MMSI+RTI+M0590AM_010_F.tif
DOI: 10.25346/s6lqjm3j/eornou
title: msXV_050v_MMSI+RTI+M0560LI_009_F.tif
DOI: 10.25919/vmh4-jw07
title: NBDL Data Download
DOI: 10.34740/kaggle/dsv/13724859
title: Berita UNNES
DOI: 10.25346/s6lqjm3j/ngwkia
title: msXV_050v_MMSI+RTI+M0530GN_008_F.tif
DOI: 10.25346/s6lqjm3j/phcgu8
title: msXV_050v_MMSI+RTI+M0505CN_007_F.tif
DOI: 10.25346/s6lqjm3j/aqlo8l
title: msXV_050v_MMSI+RTI+M0470LB_006_F.tif
DOI: 10.25346/s6lqjm3j/uhgrjd
title: msXV_050v_MMSI+RTI+M0450RB_005_F.tif
DOI: 10.25346/s6lqjm3j/fwrymn
title: msXV_050v_MMSI+RTI+M0420VI_004_F.tif
DOI: 10.25346/s6lqjm3j/ueimfy
title: msXV_050v_MMSI+RTI+M0400UV_003_F.tif
DOI: 10.25346/s6lqjm3j/ffopgh
title: msXV_050v_MMSI+RTI+M0385UV_002_F.tif
DOI: 10.25346/s6lqjm3j/k9baid
title: msXV_050v_MMSI+RTI+M0365UV_001_F.tif
DOI: 10.25346/s6lqjm3j/gs3io0
title: msXV_050v_MMSI+RTI+Arc_G15_096_F.tif
DOI: 10.25346/s6lqjm3j/ptfqbd
title: msXV_050v_MMSI+RTI+Arc_G13_095_F.tif
DOI: 10.25346/s6lqjm3j/vrraph
title: msXV_050v_MMSI+RTI+Arc_G11_094_F.tif
DOI: 10.5883/ds-fissigu
title: Bernard Landry and Carlos Lopez-Vaamonde

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.25346/s6lqjm3j/e2bxst
title: msXV_050v_MMSI+RTI+Arc_G09_093_F.tif
DOI: 10.25346/s6lqjm3j/uvlwon
title: msXV_050v_MMSI+RTI+Arc_G07_092_F.tif
DOI: 10.25346/s6lqjm3j/kinjt7
title: msXV_050v_MMSI+RTI+Arc_G05_091_F.tif
DOI: 10.25346/s6lqjm3j/28cqrv
title: msXV_050v_MMSI+RTI+Arc_G03_090_F.tif
DOI: 10.25346/s6lqjm3j/lrr6xf
title: msXV_050v_MMSI+RTI+Arc_G01_089_F.tif
DOI: 10.25346/s6lqjm3j/stibpv
title: msXV_050v_MMSI+RTI+Arc_F16_088_F.tif
DOI: 10.25346/s6lqjm3j/iicxqf
title: msXV_050v_MMSI+RTI+Arc_F14_087_F.tif
DOI: 10.25346/s6lqjm3j/yeyi7v
title: msXV_050v_MMSI+RTI+Arc_F12_086_F.tif
DOI: 10.25346/s6lqjm3j/sdj8av
title: msXV_050v_MMSI+RTI+Arc_F10_085_F.tif
DOI: 10.25346/s6lqjm3j/azg5dn
title: msXV_050v_MMSI+RTI+Arc_F08_084_F.tif
DOI: 10.25346/s6lqjm3j/o4cmwa
title: msXV_050v_MMSI+RTI+Arc_F06_083_F.tif
DOI: 10.25346/s6lqjm3j/sydfpq
title: msXV_050v_MMSI+RTI+Arc_F04_082_F.tif
DOI: 10.25346/s6lqjm3j/owwxa5
title: msXV_050v_MMSI+RTI+Arc_F02_081_F.tif
DOI: 10.25346/s6lqjm3j/wecbuo
title: msXV_050v_MMSI+RTI+Arc_E15_080_F.tif
DOI: 10.25346/s6lqjm3j/m03miw
title: msXV_050v_MMSI+RTI+Arc_E13_079_F.tif