cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.7ndvv2
title: Occurrence Download

description: A dataset containing 30 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "Geometry POLYGON ((-120.2995 36.20429, -120.299 36.20433, -120.2986 36.2044, -120.2981 36.20449, -120.2977 36.2046, -120.2972 36.20472, -120.2968 36.20487, -120.2964 36.20503, -120.2959 36.20522, -120.2955 36.20542, -120.2951 36.20563, -120.2948 36.20586, -120.2944 36.20611, -120.2941 36.20638, -120.2937 36.20665, -120.2934 36.20694, -120.2931 36.20725, -120.2929 36.20756, -120.2926 36.20789, -120.2924 36.20822, -120.2922 36.20857, -120.292 36.20892, -120.2919 36.20928, -120.2917 36.20965, -120.2916 36.21002, -120.2915 36.2104, -120.2915 36.21078, -120.2914 36.21116, -120.2912 36.21472, -120.2912 36.21509, -120.2912 36.21547, -120.2913 36.21584, -120.2913 36.21621, -120.2914 36.21658, -120.2915 36.21694, -120.2917 36.2173, -120.2918 36.21765, -120.292 36.218, -120.2922 36.21834, -120.2924 36.21867, -120.2927 36.21899, -120.2929 36.2193, -120.2932 36.2196, -120.2935 36.21988, -120.2938 36.22015, -120.2942 36.22041, -120.2945 36.22066, -120.2949 36.22089, -120.2953 36.2211, -120.2957 36.2213, -120.2961 36.22148, -120.2965 36.22165, -120.2969 36.22179, -120.2973 36.22192, -120.2978 36.22203, -120.2982 36.22212, -120.2987 36.2222, -120.2992 36.22225, -120.2996 36.22229, -120.3001 36.2223, -120.3005 36.2223, -120.3065 36.22212, -120.307 36.2221, -120.3075 36.22205, -120.3079 36.22199, -120.3084 36.22191, -120.3088 36.22181, -120.3093 36.22169, -120.3097 36.22155, -120.3101 36.22139, -120.3106 36.22122, -120.311 36.22103, -120.3114 36.22082, -120.3117 36.2206, -120.3121 36.22036, -120.3124 36.22011, -120.3128 36.21984, -120.3131 36.21956, -120.3134 36.21926, -120.3136 36.21896, -120.3139 36.21864, -120.3141 36.21831, -120.3143 36.21798, -120.3145 36.21763, -120.3147 36.21728, -120.3148 36.21692, -120.315 36.21656, -120.3151 36.21619, -120.3151 36.21582, -120.3152 36.21544, -120.3152 36.21507, -120.3153 36.21146, -120.3153 36.21107, -120.3153 36.21069, -120.3152 36.21031, -120.3152 36.20993, -120.3151 36.20955, -120.3149 36.20918, -120.3148 36.20881, -120.3146 36.20846, -120.3144 36.20811, -120.3142 36.20776, -120.314 36.20743, -120.3137 36.20711, -120.3134 36.2068, -120.3131 36.20651, -120.3128 36.20622, -120.3124 36.20595, -120.3121 36.2057, -120.3117 36.20546, -120.3113 36.20524, -120.3109 36.20503, -120.3105 36.20485, -120.3101 36.20468, -120.3096 36.20453, -120.3092 36.20439, -120.3087 36.20428, -120.3083 36.20419, -120.3078 36.20412, -120.3073 36.20406, -120.3069 36.20403, -120.3064 36.20402, -120.3059 36.20403, -120.3 36.20426, -120.2995 36.20429))",
 {
 "not" : {
 "TaxonKey" : [
 "is Plantae"
 ]
 }
 },
 {
 "not" : {
 "TaxonKey" : [
 "is Aves"
 ]
 }
 },
 "Year is greater than or equal to 1926",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 30 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053497-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34691/uchile/uyc3ur/nvlvyr
title: F3_tT10.avi.jpg

description: :unav
DOI: 10.34691/uchile/uyc3ur/fleawf
title: T5xy.mat

description: :unav
DOI: 10.34691/uchile/uyc3ur/9zvbde
title: T9xy.mat

description: :unav
DOI: 10.34691/uchile/uyc3ur/w3hj38
title: F1_tT3.avi.jpg

description: :unav
DOI: 10.34691/uchile/uyc3ur/idhedn
title: F1_tT2.avi.jpg

description: :unav
DOI: 10.34691/uchile/uyc3ur/smc6q3
title: F2_tT3.avi.jpg

description: :unav
DOI: 10.34691/uchile/uyc3ur/qzozsk
title: F3_tT8.avi.jpg

description: :unav
DOI: 10.34691/uchile/uyc3ur/xebgge
title: Y_Maze 1h C1R3_Fig2.fig

description: :unav
DOI: 10.34691/uchile/uyc3ur/sw1fis
title: F1_tT1.avi.jpg

description: :unav
DOI: 10.34691/uchile/uyc3ur/d6shxz
title: T8xy.mat

description: :unav
DOI: 10.34691/uchile/uyc3ur/afb8eu
title: F2_tT4.avi.jpg

description: :unav
DOI: 10.34691/uchile/uyc3ur/iojtqn
title: F1_tT6.avi.jpg

description: :unav
DOI: 10.34691/uchile/uyc3ur/sb2tc5
title: T3xy.mat

description: :unav
DOI: 10.34691/uchile/uyc3ur/eccvsz
title: Y_Maze 1h C1R2Results1.mat

description: :unav
DOI: 10.34691/uchile/uyc3ur/7nalzr
title: F3_tT4.avi.jpg

description: :unav
DOI: 10.34691/uchile/uyc3ur/an2tks
title: T5xy.mat

description: :unav
DOI: 10.15468/dl.xumj2g
title: Occurrence Download

description: A dataset containing 1214 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Troides minos"
 ]
}

 The dataset includes 1214 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053498-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34691/uchile/uyc3ur/rtyktm
title: F3_tT3.avi.jpg

description: :unav
DOI: 10.34691/uchile/uyc3ur/ercjel
title: F2_tT4.avi.jpg

description: :unav
DOI: 10.34691/uchile/uyc3ur/8osris
title: F3_tT3.avi.jpg

description: :unav
DOI: 10.34691/uchile/uyc3ur/g0uww1
title: F1_tT7.avi.jpg

description: :unav
DOI: 10.34691/uchile/uyc3ur/3idn9u
title: T2xy.mat

description: :unav
DOI: 10.34691/uchile/uyc3ur/qmqb89
title: F3_tT10.avi.jpg

description: :unav
DOI: 10.34691/uchile/uyc3ur/fupgej
title: T7xy.mat

description: :unav
DOI: 10.34691/uchile/uyc3ur/rrm6vg
title: F3_tT8.avi.jpg

description: :unav
DOI: 10.34691/uchile/uyc3ur/kvu278
title: F3_tT1.avi.jpg

description: :unav
DOI: 10.34691/uchile/uyc3ur/ijdrvs
title: F3_tT1.avi.jpg

description: :unav
DOI: 10.34691/uchile/uyc3ur/ag6je7
title: F1_tT1.avi.jpg

description: :unav
DOI: 10.34691/uchile/uyc3ur/fcosme
title: Y_Maze 1h C2R6_Fig4.fig

description: :unav
DOI: 10.34691/uchile/uyc3ur/pn5sg8
title: T6xy.mat

description: :unav
DOI: 10.34691/uchile/uyc3ur/8rnvf9
title: F1_tT3.avi.jpg

description: :unav
DOI: 10.34691/uchile/uyc3ur/t2qcnc
title: F1_tT8.avi.jpg

description: :unav
DOI: 10.34691/uchile/uyc3ur/eelo4u
title: C4_R10_1h bResults1.mat

description: :unav
DOI: 10.15468/dl.urnzhe
title: Occurrence Download

description: A dataset containing 110 records in GBIF matching the query:
SELECT "year", GBIF_EEARGCode( 1000, decimalLatitude, decimalLongitude, COALESCE(coordinateUncertaintyInMeters, 1000) ) AS eeaCellCode, classKey, class, genusKey, genus, COUNT(*) AS occurrences, MIN(COALESCE(coordinateUncertaintyInMeters, 1000)) AS minCoordinateUncertaintyInMeters, MIN(GBIF_TemporalUncertainty(eventDate, null)) AS minTemporalUncertainty FROM occurrence WHERE occurrenceStatus = 'PRESENT' AND genusKey IN (2284443, 2202786, 2161911, 2161467, 7652364, 2176168, 3092125, 2771094, 8782549, 2457378, 2453882, 2457825, 2454645, 2465626, 2466496, 2459675, 2444141, 2444221, 2447418, 2441658, 2442664, 3266899, 2473221, 2445496, 5221394, 2443339, 4553469) AND countrycode = 'BE' AND "year" &gt;= 1900 AND hasCoordinate = TRUE AND genusKey IS NOT NULL AND NOT ARRAY_CONTAINS(issue, 'ZERO_COORDINATE') AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_OUT_OF_RANGE') AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_INVALID') AND NOT ARRAY_CONTAINS(issue, 'COUNTRY_COORDINATE_MISMATCH') AND (LOWER(identificationVerificationStatus) NOT IN ( 'unverified', 'unvalidated', 'not validated', 'under validation', 'not able to validate', 'control could not be conclusive due to insufficient knowledge', 'uncertain', 'unconfirmed', 'unconfirmed - not reviewed', 'validation requested' ) OR identificationVerificationStatus IS NULL) AND COALESCE(coordinateUncertaintyInMeters, 1000) &lt;= 10000 GROUP BY "year", eeaCellCode, classKey, class, genusKey, genus ORDER BY "year" DESC, eeaCellCode ASC, genusKey ASC;

 The dataset's 110 records were derived from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053484-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34691/uchile/uyc3ur/eujnt6
title: T10xy.mat

description: :unav
DOI: 10.34691/uchile/uyc3ur/aererx
title: F3_tT4.avi.jpg

description: :unav
DOI: 10.15468/dl.5586eb
title: Occurrence Download

description: A dataset containing 395 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cryptoblabes gnidiella"
 ]
}

 The dataset includes 395 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053499-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34691/uchile/uyc3ur/ktfbqi
title: F3_tT8.avi.jpg

description: :unav
DOI: 10.34691/uchile/uyc3ur/iwzbq2
title: F1_tT2.avi.jpg

description: :unav
DOI: 10.34691/uchile/uyc3ur/vwkcte
title: F3_tT6.avi.jpg

description: :unav
DOI: 10.15468/dl.6tcy6b
title: Occurrence Download

description: A dataset containing 2 records in GBIF matching the query:
SELECT "year", GBIF_EEARGCode( 1000, decimalLatitude, decimalLongitude, COALESCE(coordinateUncertaintyInMeters, 1000) ) AS eeaCellCode, classKey, class, familyKey, family, COUNT(*) AS occurrences, MIN(COALESCE(coordinateUncertaintyInMeters, 1000)) AS minCoordinateUncertaintyInMeters, MIN(GBIF_TemporalUncertainty(eventDate, null)) AS minTemporalUncertainty FROM occurrence WHERE occurrenceStatus = 'PRESENT' AND countrycode = 'BE' AND "year" &gt;= 1900 AND hasCoordinate = TRUE AND familyKey IS NOT NULL AND NOT ARRAY_CONTAINS(issue, 'ZERO_COORDINATE') AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_OUT_OF_RANGE') AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_INVALID') AND NOT ARRAY_CONTAINS(issue, 'COUNTRY_COORDINATE_MISMATCH') AND (LOWER(identificationVerificationStatus) NOT IN ( 'unverified', 'unvalidated', 'not validated', 'under validation', 'not able to validate', 'control could not be conclusive due to insufficient knowledge', 'uncertain', 'unconfirmed', 'unconfirmed - not reviewed', 'validation requested' ) OR identificationVerificationStatus IS NULL)AND familyKey IN (5666)AND COALESCE(coordinateUncertaintyInMeters, 1000) &lt;= 10000GROUP BY "year", eeaCellCode, classKey, class, familyKey, family ORDER BY "year" DESC, eeaCellCode ASC, familyKey ASC;

 The dataset's 2 records were derived from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053482-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34691/uchile/uyc3ur/toihrz
title: F2_tT7.avi.jpg

description: :unav
DOI: 10.34691/uchile/uyc3ur/ecwik5
title: F2_tT9.avi.jpg

description: :unav
DOI: 10.34691/uchile/uyc3ur/bmigv8
title: T8xy.mat

description: :unav
DOI: 10.34691/uchile/uyc3ur/zdyu2f
title: F2_tT5.avi.jpg

description: :unav
DOI: 10.34691/uchile/uyc3ur/ny99eb
title: F1_tT6.avi.jpg

description: :unav
DOI: 10.34691/uchile/uyc3ur/qzjjjm
title: Y_Maze 1h C3R11Results1.mat

description: :unav
DOI: 10.34691/uchile/uyc3ur/wjsnul
title: T8xy.mat

description: :unav
DOI: 10.34691/uchile/uyc3ur/f7esav
title: F1_tT1.avi.jpg

description: :unav
DOI: 10.34691/uchile/uyc3ur/eakd7i
title: T2xy.mat

description: :unav
DOI: 10.5281/zenodo.15055361
title: East Asia meso α and β MCS Tracking Dataset (2001–2023 JJAS): Observational (IMERG, Merged IR) and CPM (WRF) Using PyFLEXTRKR

description: OverviewThis dataset provides long-term mesoscale convective system (MCS) tracking results over East Asia for the period 2001–2023 (June–September). The dataset includes MCS characteristics tracked at the meso α and β scales using observational datasets (IMERG, Merged IR) and a convection-permitting model (CPM) simulation with the Weather Research and Forecasting (WRF) model.

Tracking MethodologyThe MCS tracking and feature extraction were conducted using PyFLEXTRKR (Feng et al., 2023), an open-source Python-based flexible tracking algorithm. Details on PyFLEXTRKR can be found at:

https://github.com/FlexTRKR/PyFLEXTRKR

Data Contents



Tracking Configurations: Configuration files used for MCS tracking.

Tracking Statistics: MCS properties and statistics generated from PyFLEXTRKR.

Monthly-Averaged Tracking Results: Aggregated MCS statistics for each month.


Usage & CitationThis dataset is intended for climate and atmospheric science research, particularly for analyzing long-term MCS variability in East Asia. The dataset is associated with an ongoing research study.

If you use this dataset, please cite the following paper describing the dataset and its analysis:

Mun, T., Cha, D.-H., Park, H., Park, J., Lee, M.-I., Son, S.-W., & Min, S.-K. (2025). Spatiotemporal Characteristics of Mesoscale Convective Systems over East Asian Monsoon Region Simulated by a Convection-Permitting Model. Journal of Geophysical Research: Atmospheres, 130, e2025JD044820, https://doi.org/10.1029/2025JD044820

Please also acknowledge the tracking methodology:

Feng, Z., J. Hardin, H. C. Barnes, J. Li, L. R. Leung, A. Varble, and Z. Zhang, 2023: PyFLEXTRKR: A flexible feature tracking Python software for convective cloud analysis. Geoscientific Model Development, 16, 2753–2776, https://doi.org/10.5194/gmd-16-2753-2023.

 

Contact InformationFor inquiries regarding this dataset, please contact [moonth505@gmail.com]
DOI: 10.34691/uchile/uyc3ur/cx3lhd
title: F1_tT5.avi.jpg

description: :unav
DOI: 10.5281/zenodo.15055360
title: East Asia meso α and β MCS Tracking Dataset (2001–2023 JJAS): Observational (IMERG, Merged IR) and CPM (WRF) Using PyFLEXTRKR

description: OverviewThis dataset provides long-term mesoscale convective system (MCS) tracking results over East Asia for the period 2001–2023 (June–September). The dataset includes MCS characteristics tracked at the meso α and β scales using observational datasets (IMERG, Merged IR) and a convection-permitting model (CPM) simulation with the Weather Research and Forecasting (WRF) model.

Tracking MethodologyThe MCS tracking and feature extraction were conducted using PyFLEXTRKR (Feng et al., 2023), an open-source Python-based flexible tracking algorithm. Details on PyFLEXTRKR can be found at:

https://github.com/FlexTRKR/PyFLEXTRKR

Feng, Z., J. Hardin, H. C. Barnes, J. Li, L. R. Leung, A. Varble, and Z. Zhang, 2023: PyFLEXTRKR: A flexible feature tracking Python software for convective cloud analysis. Geosci. Model Dev., 16, 2753–2776, https://doi.org/10.5194/gmd-16-2753-2023.

Data Contents



Tracking Configurations: Configuration files used for MCS tracking.

Tracking Statistics: MCS properties and statistics generated from PyFLEXTRKR.

Monthly-Averaged Tracking Results: Aggregated MCS statistics for each month.

Source Code used for the Analysis: Python and ncl codes to make statistical outputs and plotting figures.


 

Usage & CitationThis dataset is intended for climate and atmospheric science research, particularly for analyzing long-term MCS variability in East Asia. The dataset is associated with an ongoing research study. If using this dataset, please cite it accordingly and acknowledge the tracking methodology reference (Feng et al., 2023) and our manuscript (Mun et al., 2025)

Feng, Z., J. Hardin, H. C. Barnes, J. Li, L. R. Leung, A. Varble, and Z. Zhang, 2023: PyFLEXTRKR: A flexible feature tracking Python software for convective cloud analysis. Geosci. Model Dev., 16, 2753–2776, https://doi.org/10.5194/gmd-16-2753-2023.

Mun, T., Cha, D.-H., Park, H., Park, J., Lee, M.-I., Son, S.-W., & Min, S.-K. (2025). Spatiotemporal characteristics of mesoscale convective systems over East Asian monsoon region simulated by a convection-permitting model. Journal of Geophysical Research: Atmospheres. (in press) https://doi.org/10.1029/2025JD044820

 

Contact InformationFor inquiries regarding this dataset, please contact [moonth@gmail.com]
DOI: 10.34691/uchile/uyc3ur/exaz7v
title: T5xy.mat

description: :unav
DOI: 10.34691/uchile/uyc3ur/2zjje5
title: Y_Maze 1h C3R6Results1.mat

description: :unav
DOI: 10.34691/uchile/uyc3ur/12srwf
title: Tumor_Growth.tab

description: :unav
DOI: 10.34691/uchile/uyc3ur/gspkhe
title: C2R1_0062.tif

description: :unav
DOI: 10.34691/uchile/uyc3ur/84xl0j
title: C2R1_0069.tif

description: :unav
DOI: 10.34691/uchile/uyc3ur/vn5efu
title: C2R1_0067.tif

description: :unav
DOI: 10.34691/uchile/uyc3ur/msgtar
title: C2R1_0066.tif

description: :unav
DOI: 10.34691/uchile/uyc3ur/57gire
title: C2R1_0065.tif

description: :unav
DOI: 10.34691/uchile/uyc3ur/tqscui
title: C2R1_0064.tif

description: :unav
DOI: 10.5281/zenodo.17939094
title: Drought_experiment_COS_Pine_Juniper

description: This data is supports the manuscript "Drought effects on the leaf uptake of carbonyl sulfide and CO₂ in Pinus sylvestris and Juniperus communis". 

The data will be available when the manuscript is accepted for submission. Then here also the doi to the manuscript will be mentioned.
DOI: 10.34691/uchile/uyc3ur/poeghc
title: C2R1_0063.tif

description: :unav
DOI: 10.34691/uchile/uyc3ur/oqbj3u
title: C2R1_0061.tif

description: :unav
DOI: 10.34691/uchile/uyc3ur/cdixdu
title: 15.14_1_0010003.tif

description: :unav
DOI: 10.34691/uchile/uyc3ur/aafull
title: C2R2_0029.tif

description: :unav
DOI: 10.34691/uchile/uyc3ur/r8hsqs
title: 15.14_1_0010028.tif

description: :unav
DOI: 10.34691/uchile/uyc3ur/ahpxcx
title: C4R10_0010007.tif

description: :unav
DOI: 10.34691/uchile/uyc3ur/0aky2r
title: C4R10_0010001.tif

description: :unav
DOI: 10.34691/uchile/uyc3ur/ds1xcy
title: C2R3_0010012.tif

description: :unav
DOI: 10.5281/zenodo.14945480
title: Graceful17: Main Data Repository

description: This dataset originates from the project GRACEFUL17: Global Governance, Local Dynamics. The transnational Regimes of Grace in the Roman Dataria Apostolica in the 17th century in focus. It provides information on ecclesiastical offices awarded by the Roman Apostolic Datary, an office of the early-modern Catholic Church. It contain data from dioceses from all over Roman Catholic Europe, focusing on the years 1622/23 and 1677/78. 

Content of this Repo:Graceful17-Graph-Data.zip



 A static data dump of the knowledge graph data provided in N-Triples, N-Quads, TriG, RDF, Turtle (ttl) and JSON-LD format, separated according to the main ontologies used (GRACE, CIDOC CRM, RiC-O).

A full dump including all all named graphs (GRACE, CIDOC CRM, RiC-O) in N-Quads and TriG format.

All controlled vocabularies and thesauri—e.g. categories of benefices, churches, religious orders, and ecclesiastical provinces—as hierarchically structured taxonomies in SKOS format.


Graceful17-Dioceses.geojson



Geodata—in particular for boundaries of dioceses and ecclesiastical provinces—derived from public geospatial sources, primarily the Earthworks project at Stanford University as as GeoJSON.


Graceful17-Transcriptions.tsv



Basic transcriptions of the archival sources, along with metadata describing archival storage conditions and creation dates that are provided in Tab-separated Values (TSV) format.


The GRACE ontology used to model the data in the Knowledge Graph is published separately and can be found here.

The Graceful17 knowledge graph can also be queried directly via the SPARQL Enpoint (https://graph.dhi-roma.it/query) or a graphical query builder.

A more detailed description, including the methodological background and instructions on how to query the Knowledge Graph, can be found in the forthcoming data paper.
DOI: 10.5281/zenodo.17550450
title: Graceful17: Main Data Repository

description: This dataset originates from the project GRACEFUL17: Global Governance, Local Dynamics. The transnational Regimes of Grace in the Roman Dataria Apostolica in the 17th century in focus. It provides information on ecclesiastical offices awarded by the Roman Apostolic Datary, an office of the early-modern Catholic Church. It contain data from dioceses from all over Roman Catholic Europe, focusing on the years 1622/23 and 1677/78. 

Content of this Repo:Graceful17-Graph-Data.zip



 A static data dump of the knowledge graph data provided in N-Triples, N-Quads, TriG, RDF, Turtle (ttl) and JSON-LD format, separated according to the main ontologies used (GRACE, CIDOC CRM, RiC-O).

A full dump including all all named graphs (GRACE, CIDOC CRM, RiC-O) in N-Quads and TriG format.

All controlled vocabularies and thesauri—e.g. categories of benefices, churches, religious orders, and ecclesiastical provinces—as hierarchically structured taxonomies in SKOS format.


Graceful17-Dioceses.geojson



Geodata—in particular for boundaries of dioceses and ecclesiastical provinces—derived from public geospatial sources, primarily the Earthworks project at Stanford University as as GeoJSON.


Graceful17-Transcriptions.tsv



Basic transcriptions of the archival sources, along with metadata describing archival storage conditions and creation dates that are provided in Tab-separated Values (TSV) format.


The GRACE ontology used to model the data in the Knowledge Graph is published separately and can be found here.

The Graceful17 knowledge graph can also be queried directly via the SPARQL Enpoint (https://graph.dhi-roma.it/query) or a graphical query builder.

A more detailed description, including the methodological background and instructions on how to query the Knowledge Graph, can be found in the forthcoming data paper.
DOI: 10.34691/uchile/uyc3ur/uz8qna
title: 15.14_1_0010009.tif

description: :unav
DOI: 10.34691/uchile/uyc3ur/yskqzp
title: C2R2_0048.tif

description: :unav
DOI: 10.18150/18dlba
title: Podocytes as novel sources of neutrophil serine proteases: expression and regulation by inflammatory molecular patterns.

description: Data for the manuscript entitled: Podocytes as novel sources of neutrophil serine proteases: expression and regulation by inflammatory molecular patterns.This dataset accompanies a study demonstrating that human and rat podocytes express enzymatically active neutrophil serine proteases (NSPs), including neutrophil elastase, proteinase 3, and cathepsin G, as well as their endogenous inhibitors, serpins. We show that the expression and activity of these proteases are regulated by inflammatory molecular patterns. Notably, podocytes release NSPs in extracellular vesicles and secrete mitochondrial DNA in response to inflammatory stimuli without compromising cell viability. We also identified, for the first time, the expression and redistribution of myeloperoxidase in podocytes upon stimulation.These data were used to create Figures 2-10. All data for Figures have been included in the file Figure 2–10.
DOI: 10.34691/uchile/uyc3ur/adn2ph
title: 15.14_1_0010016.tif

description: :unav
DOI: 10.34691/uchile/uyc3ur/d3irrk
title: C4R10_0010022.tif

description: :unav
DOI: 10.5281/zenodo.17939163
title: GPM IMERG 12Z accums for Rai case study

description: 12Z to 12Z accumulations to complement the two flavours of models and 00Z to 00Z accumulations in previous dataset.

1. 8.8 km regional ensemble and GPM IMERG files for PhD project.

2. Two driving global ensemble forecasts to match.

No processing on these files has been performed other than basic extraction and/or conversion to netcdf, e.g. precip has not been processed into accumulation periods.
DOI: 10.34691/uchile/uyc3ur/eb2tgv
title: C2R1_0070.tif

description: :unav
DOI: 10.34691/uchile/uyc3ur/eihrmx
title: C4R10_0010009.tif

description: :unav
DOI: 10.34691/uchile/uyc3ur/dljab1
title: C2R3_0010002.tif

description: :unav
DOI: 10.34691/uchile/uyc3ur/hfdanl
title: C4R10_0010019.tif

description: :unav
DOI: 10.15468/dl.673u8q
title: Occurrence Download

description: A dataset containing 108 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Swedish Malaise Trap Project (SMTP) - Strepsiptera"
 ]
}

 The dataset includes 108 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0053501-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34691/uchile/uyc3ur/ougsxb
title: C4R10_0010004.tif

description: :unav
DOI: 10.34691/uchile/uyc3ur/xjsfxg
title: 15.14_1_0010008.tif

description: :unav
DOI: 10.34691/uchile/uyc3ur/v9mbbq
title: C2R2_0032.tif

description: :unav