cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.3634963
title: S62 | NORMANEWS2 | NormaNEWS2: Retrospective Screening of New Emerging Contaminants

description: List of suspects provided by many contributors to NormaNEWS2, the second round of retrospective screening for emerging environmental contaminants via the NORMAN Early Warning System, collated by Kevin Thomas and colleagues at UQ. Dataset DOI: 10.5281/zenodo.3634963.

The Norman Early Warning System (NormaNEWS) is a collaborative activity aimed at members active in non-target analysis. The concept of NormaNEWS is that when one group identifies a new contaminant of emerging concern identification criteria are sent to other members of the group who use retrospective analysis techniques to check their own samples. This way we can rapidly establish the occurrence of newly identified compounds of emerging concern across Europe and beyond. NormaNEWS is lead by Kevin Thomas at NIVA (Norway) / University of Queensland (Australia) as part of the Non-target screening cross-working group activity of the NORMAN network.

What is NormaNEWS and how does it work?

The first round of the collaborative NormaNEWS joint activity in 2016 successfully demonstrated the usefulness of the retrospective screening of high resolution mass spectrometric data in establishing the spatial and temporal occurrence of newly identified compounds of emerging concern. The results of this pilot study are presented in Alygizakis et al., ES&T, DOI: 10.1021/acs.est.8b00365. The list of contaminants screened can be found on the NORMAN Suspect Exchange and the CompTox Chemistry Dashboard.

To build on the first study, the NORMAN network has decided to launch NormaNEWS 2 as part of the activities of the NTS Cross-Working Group Activity (NORMAN JPA 2018 and NORMAN JPA 2019).

In NormaNEWS 2 we wish to further develop this approach to cover many more contaminants of emerging concern, include a broader range of matrices, and significantly increase temporal and spatial coverage.

While NORMAN members are encouraged to participate in NormaNEWS, laboratories outside the NORMAN network are also welcome to participate.
DOI: 10.25346/s6collfi/4bt20m
title: msXL_334v_MMSI+overhead+M0530GN_59_F.tif
DOI: 10.5281/zenodo.3634962
title: S62 | NORMANEWS2 | NormaNEWS2: Retrospective Screening of New Emerging Contaminants

description: List of suspects provided by many contributors to NormaNEWS2, the second round of retrospective screening for emerging environmental contaminants via the NORMAN Early Warning System, collated by Kevin Thomas and colleagues at UQ. Dataset DOI: 10.5281/zenodo.3634963.

The Norman Early Warning System (NormaNEWS) is a collaborative activity aimed at members active in non-target analysis. The concept of NormaNEWS is that when one group identifies a new contaminant of emerging concern identification criteria are sent to other members of the group who use retrospective analysis techniques to check their own samples. This way we can rapidly establish the occurrence of newly identified compounds of emerging concern across Europe and beyond. NormaNEWS is lead by Kevin Thomas at NIVA (Norway) / University of Queensland (Australia) as part of the Non-target screening cross-working group activity of the NORMAN network.

What is NormaNEWS and how does it work?

The first round of the collaborative NormaNEWS joint activity in 2016 successfully demonstrated the usefulness of the retrospective screening of high resolution mass spectrometric data in establishing the spatial and temporal occurrence of newly identified compounds of emerging concern. The results of this pilot study are presented in Alygizakis et al., ES&T, DOI: 10.1021/acs.est.8b00365. The list of contaminants screened can be found on the NORMAN Suspect Exchange and the CompTox Chemistry Dashboard.

To build on the first study, the NORMAN network has decided to launch NormaNEWS 2 as part of the activities of the NTS Cross-Working Group Activity (NORMAN JPA 2018 and NORMAN JPA 2019).

In NormaNEWS 2 we wish to further develop this approach to cover many more contaminants of emerging concern, include a broader range of matrices, and significantly increase temporal and spatial coverage.

While NORMAN members are encouraged to participate in NormaNEWS, laboratories outside the NORMAN network are also welcome to participate.
DOI: 10.25346/s6collfi/gxhwez
title: msXL_334v_MMSI+overhead+M0530GN_08_F.tif
DOI: 10.25346/s6collfi/8iylek
title: msXL_334v_MMSI+overhead+M0505CN_58_F.tif
DOI: 10.25346/s6collfi/ptzgoy
title: msXL_334v_MMSI+overhead+M0505CN_07_F.tif
DOI: 10.25346/s6collfi/fhlwy3
title: msXL_334v_MMSI+overhead+M0470LB_57_F.tif
DOI: 10.25346/s6collfi/0ozczf
title: msXL_334v_MMSI+overhead+M0470LB_06_F.tif
DOI: 10.25346/s6collfi/g93htm
title: msXL_334v_MMSI+overhead+M0450RB_56_F.tif
DOI: 10.25346/s6collfi/wb5vik
title: msXL_334v_MMSI+overhead+M0450RB_05_F.tif
DOI: 10.25346/s6collfi/crmbpq
title: msXL_334v_MMSI+overhead+M0420VI_55_F.tif
DOI: 10.25346/s6collfi/t7qjkb
title: msXL_334v_MMSI+overhead+M0420VI_04_F.tif
DOI: 10.25346/s6collfi/zhogrr
title: msXL_334v_MMSI+overhead+M0400UV_54_F.tif
DOI: 10.25346/s6collfi/grmwwq
title: msXL_334v_MMSI+overhead+M0400UV_03_F.tif
DOI: 10.25346/s6collfi/d22uo3
title: msXL_334v_MMSI+overhead+M0385UV_53_F.tif
DOI: 10.25346/s6collfi/tbffs7
title: msXL_334v_MMSI+overhead+M0385UV_02_F.tif
DOI: 10.25346/s6collfi/mcqtoj
title: msXL_334v_MMSI+overhead+M0365UV_52_F.tif
DOI: 10.25346/s6collfi/c8nlmc
title: msXL_334v_MMSI+overhead+M0365UV_01_F.tif
DOI: 10.25346/s6collfi/x47guc
title: msXL_334r_MMSI+overhead+W615R72_51_F.tif
DOI: 10.25346/s6collfi/fhpgpc
title: msXL_334r_MMSI+overhead+W61587C_47_F.tif
DOI: 10.25346/s6collfi/dcptq8
title: msXL_334r_MMSI+overhead+W615665_44_F.tif
DOI: 10.25346/s6collfi/igntem
title: msXL_334r_MMSI+overhead+W530R72_50_F.tif
DOI: 10.25346/s6collfi/7wnl3n
title: msXL_334r_MMSI+overhead+W53087C_46_F.tif
DOI: 10.25346/s6collfi/z9bokg
title: msXL_334r_MMSI+overhead+W530665_43_F.tif
DOI: 10.25346/s6collfi/dwbqul
title: msXL_334r_MMSI+overhead+W505R72_49_F.tif
DOI: 10.25346/s6collfi/fkii7m
title: msXL_334r_MMSI+overhead+W50587C_45_F.tif
DOI: 10.25346/s6collfi/ix91lu
title: msXL_334r_MMSI+overhead+W505665_42_F.tif
DOI: 10.25346/s6collfi/rzz0nk
title: msXL_334r_MMSI+overhead+W450R72_48_F.tif
DOI: 10.25346/s6collfi/8c0jss
title: msXL_334r_MMSI+overhead+W450R25_32_F.tif
DOI: 10.25346/s6collfi/a6to1y
title: msXL_334r_MMSI+overhead+W450G58_36_F.tif
DOI: 10.25346/s6collfi/5zfeuv
title: msXL_334r_MMSI+overhead+W450B47_40_F.tif
DOI: 10.25346/s6collfi/tfrpqi
title: msXL_334r_MMSI+overhead+W450665_41_F.tif
DOI: 10.25346/s6collfi/clk7w3
title: msXL_334r_MMSI+overhead+W400R25_31_F.tif
DOI: 10.25346/s6collfi/x4ahnv
title: msXL_334r_MMSI+overhead+W400G58_35_F.tif
DOI: 10.25346/s6collfi/s6i04o
title: msXL_334r_MMSI+overhead+W400B47_39_F.tif
DOI: 10.25346/s6collfi/bk0bi5
title: msXL_334r_MMSI+overhead+W385R25_30_F.tif
DOI: 10.25346/s6collfi/ex1vm2
title: msXL_334r_MMSI+overhead+W385G58_34_F.tif
DOI: 10.25346/s6collfi/gji2mu
title: msXL_334r_MMSI+overhead+W385B47_38_F.tif
DOI: 10.25346/s6collfi/txhkoq
title: msXL_334r_MMSI+overhead+W365R25_29_F.tif
DOI: 10.25346/s6collfi/7w6s2r
title: msXL_334r_MMSI+overhead+W365G58_33_F.tif
DOI: 10.25346/s6collfi/3ar0if
title: msXL_334r_MMSI+overhead+W365B47_37_F.tif
DOI: 10.25346/s6collfi/rnqowy
title: msXL_334r_MMSI+overhead+TX940IR_26_F.tif
DOI: 10.25346/s6collfi/js4apq
title: msXL_334r_MMSI+overhead+TX735IR_25_F.tif
DOI: 10.25346/s6collfi/vzf0th
title: msXL_334r_MMSI+overhead+TX630RD_24_F.tif
DOI: 10.25346/s6collfi/gei3lx
title: msXL_334r_MMSI+overhead+TX1050R_28_F.tif
DOI: 10.25346/s6collfi/t3hrfx
title: msXL_334r_MMSI+overhead+TX1050R_27_F.tif
DOI: 10.25346/s6collfi/encmxx
title: msXL_334r_MMSI+overhead+RR940IR_23_F.tif
DOI: 10.25346/s6collfi/yqplzh
title: msXL_334r_MMSI+overhead+RR450RB_22_F.tif
DOI: 10.25346/s6collfi/a6j1o6
title: msXL_334r_MMSI+overhead+RL940IR_21_F.tif
DOI: 10.25346/s6collfi/vqykqb
title: msXL_334r_MMSI+overhead+RL450RB_20_F.tif
DOI: 10.25346/s6collfi/ctk6ts
title: msXL_334r_MMSI+overhead+M1050IR_19_F.tif
DOI: 10.25346/s6collfi/q8of3s
title: msXL_334r_MMSI+overhead+M0940IR_67_F.tif
DOI: 10.25346/s6collfi/hdgidi
title: msXL_334r_MMSI+overhead+M0940IR_18_F.tif
DOI: 10.25346/s6collfi/mdqxay
title: msXL_334r_MMSI+overhead+M0850IR_66_F.tif
DOI: 10.25346/s6collfi/w7ikez
title: msXL_334r_MMSI+overhead+M0850IR_17_F.tif
DOI: 10.25346/s6collfi/oxqzgl
title: msXL_334r_MMSI+overhead+M0780IR_16_F.tif
DOI: 10.25346/s6collfi/e8rp06
title: msXL_334r_MMSI+overhead+M0735IR_65_F.tif
DOI: 10.25346/s6collfi/d04qsz
title: msXL_334r_MMSI+overhead+M0735IR_15_F.tif
DOI: 10.25346/s6collfi/djnlsp
title: msXL_334r_MMSI+overhead+M0700IR_14_F.tif
DOI: 10.25346/s6collfi/wcfxzr
title: msXL_334r_MMSI+overhead+M0655DR_64_F.tif
DOI: 10.25346/s6collfi/iwpni0
title: msXL_334r_MMSI+overhead+M0655DR_13_F.tif
DOI: 10.25346/s6collfi/rnsqdf
title: msXL_334r_MMSI+overhead+M0630RD_63_F.tif
DOI: 10.25346/s6collfi/6m7hiv
title: msXL_334r_MMSI+overhead+M0630RD_12_F.tif
DOI: 10.25346/s6collfi/fbodoi
title: msXL_334r_MMSI+overhead+M0615RO_62_F.tif
DOI: 10.25346/s6collfi/0loyzx
title: msXL_334r_MMSI+overhead+M0615RO_11_F.tif
DOI: 10.25346/s6collfi/uq8hgq
title: msXL_334r_MMSI+overhead+M0590AM_61_F.tif
DOI: 10.25346/s6collfi/km5jpn
title: msXL_334r_MMSI+overhead+M0590AM_10_F.tif
DOI: 10.25346/s6collfi/eyr4ka
title: msXL_334r_MMSI+overhead+M0560LI_60_F.tif
DOI: 10.25346/s6collfi/y5nnkp
title: msXL_334r_MMSI+overhead+M0560LI_09_F.tif
DOI: 10.25346/s6collfi/ip3fwo
title: msXL_334r_MMSI+overhead+M0530GN_59_F.tif
DOI: 10.25346/s6collfi/otkfoa
title: msXL_334r_MMSI+overhead+M0530GN_08_F.tif
DOI: 10.25346/s6collfi/3fyqkf
title: msXL_331r_MMSI+M0850IR_17_F.tif
DOI: 10.25346/s6collfi/kyrbmb
title: msXL_331r_MMSI+M0780IR_16_F.tif
DOI: 10.25346/s6collfi/dqybvm
title: msXL_331r_MMSI+M0735IR_15_F.tif
DOI: 10.25346/s6collfi/6x3ofs
title: msXL_331r_MMSI+M0700IR_14_F.tif
DOI: 10.15468/dl.bmh4uf
title: Occurrence Download

description: A dataset containing 17851 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "Geometry POLYGON((-79.23122 41.64281,-77.22736 41.65366,-77.23241 41.68744,-77.22318 43.45218,-79.23122 43.45218,-79.23122 41.64281))",
 "OccurrenceStatus is Present",
 "TaxonKey is Circus hudsonius"
 ]
}

 The dataset includes 17851 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006531-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25346/s6collfi/nizfty
title: msXL_331r_MMSI+M0655DR_13_F.tif
DOI: 10.25346/s6collfi/4p83ua
title: msXL_331r_MMSI+M0630RD_12_F.tif
DOI: 10.25346/s6collfi/zc7i7m
title: msXL_331r_MMSI+M0615RO_11_F.tif
DOI: 10.25346/s6collfi/t43lmy
title: msXL_331r_MMSI+M0590AM_10_F.tif
DOI: 10.25346/s6collfi/vluifx
title: msXL_331r_MMSI+M0560LI_09_F.tif
DOI: 10.25346/s6collfi/dwsvxo
title: msXL_331r_MMSI+M0530GN_08_F.tif
DOI: 10.25346/s6collfi/ysqqry
title: msXL_331r_MMSI+M0505CN_07_F.tif
DOI: 10.25346/s6collfi/x3zeaq
title: msXL_331r_MMSI+M0470LB_06_F.tif
DOI: 10.15468/dl.upgg8g
title: Occurrence Download

description: A dataset containing 300 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Prioria copaifera",
 "Year 2000-2025"
 ]
}

 The dataset includes 300 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008484-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/13869360
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.tyqffd
title: Occurrence Download

description: A dataset containing 881 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Megathyrsus maximus",
 "GadmGid is one of (USA.6_1, USA.17_1, USA.27_1, USA.28_1, USA.32_1, USA.35_1, USA.37_1, USA.42_1, USA.44_1, USA.51_1)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Human Observation, Machine Observation)"
 ]
}

 The dataset includes 881 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008486-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.eapqqj
title: Occurrence Download

description: A dataset containing 67085 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Continent is South America",
 "Country is Colombia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "License is CC-BY 4.0",
 "OccurrenceStatus is Present",
 "TaxonKey is Anthracothorax nigricollis",
 "Year 2000-2025"
 ]
}

 The dataset includes 67085 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008462-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13140/rg.2.2.15705.17767
title: ecological laboratory design
DOI: 10.5066/p13cj3d9
title: Chloride Regression Model and Mass Balance for Different Deicing Salt Application Rates on Three Watersheds in Essex County, New York

description: This data release contains tabular data for a regression model used to estimate daily mean chloride concentration from specific conductance, road salt application data, and mass balance data for a study of road salt runoff in Essex County, New York. Road salt application rates were provided by the New York State Department of Transportation (NYS DOT) and the Town of North Elba, NY. Data are grouped according to three road treatment reaches (Control, Treatment A, and Treatment B) located along New York State Routes 73 and 86 in Essex County, New York. Project details are available in Gutchess and others (2025).
DOI: 10.5066/p9jm751n
title: Static chamber gas fluxes and carbon and nitrogen isotope content of age-dated sediment cores from a Phragmites wetland in Sage Lot Pond, Massachusetts, 2013-2015

description: Coastal wetlands are major global carbon sinks, however, they are heterogeneous and dynamic ecosystems. To characterize spatial and temporal variability in a New England salt marsh, static chamber measurements of greenhouse gas (GHG) fluxes were compared among major plant-defined zones (high marsh dominated by Distichlis spicata and a zone of invasive Phragmites australis) during 2013 and 2014 growing seasons. Two sediment cores were collected in 2015 from the Phragmites zone to support previously reported core collections from the high marsh sites (Gonneea and others 2018). Collected cores were up to 70 cm in length with dry bulk density ranges from 0.04 to 0.33 grams per cubic centimeter and carbon content 22.4% to 46.6%. Gamma counting [...]
DOI: 10.5281/zenodo.17260395
title: MetaSRNA: Results

description: This collection includes MetaSRNA testing samples results from 15 datasets:

   1) Each sample result follows the naming format  <dataset><sample_id>_final_form.csv.
DOI: 10.15468/dl.eyu2p7
title: Occurrence Download

description: A dataset listing the 120 species recorded in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "OccurrenceStatus is Present",
 "TaxonKey is Aedes",
 "Year 2011-2025"
 ]
}

 The dataset's 120 records were derived from 228 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008477-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17246785
title: MetaSRNA: Results

description: This collection includes MetaSRNA testing samples results from 15 datasets:

   1) Each sample result follows the naming format  <dataset><sample_id>_final_form.csv.
DOI: 10.5281/zenodo.17716199
title: Virus Pathogen Database for EsViritu

description: Databases for EsViritu: Read mapping pipeline for detection and measurement of virus pathogens from metagenomic data

 

File descriptions

v3.2.4/





virus_pathogen_database.all_metadata.tsv = sequence and taxonomy info for each sequence in database




virus_pathogen_database.fna = fasta formatted nucleotide database of all virus genomes and segments




virus_pathogen_database.mmi = minimap2 formatted index of database (for short read mapping)



 

Relates to the tool in the following repository:

EsViritu

Updates since 3.2.2:



Added over 500 genomes from family Arteriviridae (previously missing)

Added 8 genomes from species Asfivirus haemorrhagiae

Added one each influenza A H3N2 and H1N1 genome for 2025 season

Masked some virus genomes to avoid mislabeling human/animal DNA

Masked a few virus genomes with low-complexity repeat regions
DOI: 10.5281/zenodo.7876308
title: Virus Pathogen Database for EsViritu

description: Databases for EsViritu: Read mapping pipeline for detection and measurement of virus pathogens from metagenomic data

 

File descriptions

v3.2.4/





virus_pathogen_database.all_metadata.tsv = sequence and taxonomy info for each sequence in database




virus_pathogen_database.fna = fasta formatted nucleotide database of all virus genomes and segments




virus_pathogen_database.mmi = minimap2 formatted index of database (for short read mapping)



 

Relates to the tool in the following repository:

EsViritu

Updates since 3.2.2:



Added over 500 genomes from family Arteriviridae (previously missing)

Added 8 genomes from species Asfivirus haemorrhagiae

Added one each influenza A H3N2 and H1N1 genome for 2025 season

Masked some virus genomes to avoid mislabeling human/animal DNA

Masked a few virus genomes with low-complexity repeat regions
DOI: 10.5281/zenodo.17643841
title: MetaSRNA: Reference Dataset

description: This collection includes 1) samples reference genome from 15 dataset, 2)prokaryote database, 3)haiprin database.

       1). Each sample fna/gtf files in subfolder( samples_reference_genome ) .

       2). prokaryote database in subfolder( prokaryote database ) .

       3). hairpin.fa in subfolder ( miRNA_hairpins ) was downloaded from https://www.mirbase.org/download/
DOI: 10.5281/zenodo.17289799
title: MetaSRNA: Reference Dataset

description: This collection includes 1) samples reference genome from 15 dataset, 2)prokaryote database, 3)haiprin database.

       1). Each sample fna/gtf files in subfolder( samples_reference_genome ) .

       2). prokaryote database in subfolder( prokaryote database ) .

       3). hairpin.fa in subfolder ( miRNA_hairpins ) was downloaded from https://www.mirbase.org/download/
DOI: 10.15468/dl.qa4487
title: Occurrence Download

description: A dataset containing 9904 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Melia azedarach",
 "GadmGid is one of (USA.6_1, USA.17_1, USA.27_1, USA.28_1, USA.32_1, USA.35_1, USA.37_1, USA.42_1, USA.44_1, USA.51_1)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Human Observation, Machine Observation)"
 ]
}

 The dataset includes 9904 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008489-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17605/osf.io/ktz5h
title: Brazilian High Risk Cohort Study (BHRC)

description: The Brazilian High Risk Cohort Study for Childhood Psychiatric Disorders (BHRC) is a large community school-based study that is following 2,511 children from Brazil since 2010. We obtained psychological, genetic, and neuroimaging data with the aim to investigate typical and atypical trajectories of psychopathology and cognition over development.

We used a two-stage design. We first assessed childhood symptoms and family history of psychiatric disorders in a screening interview, collecting information from 9,937 index children at 57 schools in the cities of São Paulo and Porto Alegre, as well as from 45,394 family members. In the second stage, a random subsample (intended to be representative of the community, n = 958) and a high-risk subsample (children at increased risk for mental disorders, based on family risk and childhood symptoms, n = 1554) were selected for further evaluation. We evaluated those 2,511 subjects using an extensive protocol, involving one 2-h home evaluation with the parents, two 1-h evaluations of the child by a psychologist, and two 1-h evaluations of the child by a speech pathologist. In those evaluations, saliva samples for genetic studies were collected from the subjects and their biological parents. In addition, 750 children were invited to take part in a neuroimaging study and to provide blood samples for the assessment of peripheral blood biomarkers. Those children were collectively designated the enriched imaging cohort. We just completed our 3-year follow up with 80% retention.
DOI: 10.7910/dvn/3bbjv9
title: Replication Data for: In the Land of AKM: Explaining the Dynamics of Wage Inequality in France

description: This is the replication package for "In the Land of AKM: Explaining the Dynamics of Wage Inequality in France," accepted in 2025 by the Journal of Labor Economics.
DOI: 10.25573/data.19369334
title: Mitogenomes

description: Alignment of mitogenomes for all individuals where greater than 5X average coverage was recovered. Note: Some GenBank sequences are included in this alignment. Also includes the newick tree and Geneious tree for the MrBayes and PHyML trees.
DOI: 10.25573/data.19369334.v1
title: Mitogenomes

description: Alignment of mitogenomes for all individuals where greater than 5X average coverage was recovered. Note: Some GenBank sequences are included in this alignment. Also includes the newick tree and Geneious tree for the MrBayes and PHyML trees.
DOI: 10.15468/dl.7nyf2u
title: Occurrence Download

description: A dataset listing the 2 species recorded in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Continent is South America",
 "Country is Colombia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "License is CC-BY 4.0",
 "OccurrenceStatus is Present",
 "TaxonKey is Chlorestes julie",
 "Year 2000-2025"
 ]
}

 The dataset's 2 records were derived from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008482-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8un3h6
title: Occurrence Download

description: A dataset containing 38 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Lonchophylla dekeyseri"
 ]
}

 The dataset includes 38 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008492-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15257363
title: Supplemental Data for "Trustworthy scientific inference for inverse problems with generative models"
DOI: 10.5281/zenodo.17716196
title: Supplemental Data for "Trustworthy scientific inference for inverse problems with generative models"
DOI: 10.5281/zenodo.17716124
title: Underlying data for: The Impact of Promoter Variants in Interleukin-18 on  Susceptibility to Ankylosing Spondylitis  in a sample of Iraqi Patients

description: “This repository contains the raw dataset, questionnaire used for patient data collection, and the STROBE checklist used for reporting.”
DOI: 10.5281/zenodo.17451974
title: Underlying data for: The Impact of Promoter Variants in Interleukin-18 on  Susceptibility to Ankylosing Spondylitis  in a sample of Iraqi Patients

description: “This repository contains the raw dataset, questionnaire used for patient data collection, and the STROBE checklist used for reporting.”