cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.bke6fv
title: Occurrence Download

description: A dataset containing 31 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Agrostis capillaris x gigantea"
 ]
}

 The dataset includes 31 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044983-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2023-12.2973411/2482653
title: Data for EMSL Project 51287 from December 2023
DOI: 10.20350/digitalcsic/16747
title: FAIR Dataset - paper Adhesion of Catechol-Functionalized Linear-Dendritic Block Copolymers Dendritic Effect Self-Assembly and Bioadhesion

description: In this document are included the raw and treated scientific data associated with the publication: A. Lancelot, M. E. Meger, E. Guerreiro Gómez, T. Sierra, J. J. Wilker, Adhesion of Catechol-Functionalized Linear-Dendritic Block Copolymers: Dendritic Effect, Self-Assembly, and Bioadhesion. Adv. Funct. Mater. 2024, 2413398. https://doi.org/10.1002/adfm.202413398
description: Adhesion data: - Adhesion data point file in csv file - Adhesion curve in pdf file - Calculations for adhesion mean value and standard deviation
description: Chemical characterization: - FTIR spectrum in csv file - 1H NMR spectrum in mnova file - 1H NMR spectrum in pdf file - SEC data point file in csv file
description: DSC curves: - DSC curves and derivatives in xlsx file
description: Microscopy images: - 5 representative cryoSEM images of the hydrogel in tif file - 5 representative cryoTEM images of the aggregates in tif file - 3 representative SEM images of the aggregates in tif file
description: Viscosity curves: - viscosity curves in xlxs file
DOI: 10.20350/digitalcsic/16748
title: A dataset of legacy seismic reflection profiles digitized across the Near Fault Observatory area “TABOO” (Central Italy)

description: Links to other publicly accessible locations of the data: https://www.videpi.com/ (in original scanned paper format).-- https://www.videpi.com/videpi/cessati/sismica_titoli.asp
description: The dataset include five seismic reflection profiles, collected for commercial exploration during the '80s, which have been selected across "The Alto Tiberina Near Fault Observatory area (NFO TABOO)". The source data is currently available in the Italian repository VIDEPI (videpi.com) in pdf format, scanned from the original paper copies of the seismic profiles. Such format makes the data often difficult to be Found and Accesses, as well as making them not Inter-operable and Re-usable, as recommended by FAIR policy. This policy characterizes the EPOS infrastructure (https://www.epos-eu.org/dataportal), funder of such a digitalization pilot project accomplished by UniPG, which is also collaborating with the CSIC and other institutions in the framework of EPOS to make active seismic profiles publicy available in this portal. The new digitized data will enable the users to re-use them to enhance their quality and interpretability, as well as to better integrated them in the geological studies related to the NFO TABOO (https://taboo.ingv.it/).
description: PER-7EXT-83_gpkg.zip (Geopackage files EPSG:32633, profile track and shot points location) PER-7EXT-83.tif PER-7EXT-83.SGY (digitized seismic profile) PER-7EXT-83_aux (auxiliary data: acquisition and processing information) PER-7EXT-83_ancillary.zip (ancillary data: elevation and datum correction) PER-8-83_gpkg.zip (Geopackage files EPSG:32633, profile track and shot points location) PER-8-83.tif PER-8-83.SGY (digitized seismic profile) PER-8-83_aux (auxiliary data: acquisition and processing information) Per-8-83_ancillary.zip (ancillary data: elevation and datum correction) PER-9-83_gpkg.zip (Geopackage files EPSG:32633, profile track and shot points location) PER-9-83.tif PER-9-83.SGY (digitized seismic profile) PER-9-83_aux (auxiliary data: acquisition and processing information) Per-9-83_ancillary.zip (ancillary data: elevation and datum correction) PG-301-81V-stack_gpkg.zip (Geopackage files EPSG:32633, profile track and shot points location) PG-301-81v.tif PG-301-81V.SGY (digitized seismic profile) PG-301-81V-stack_aux (auxiliary data: acquisition and processing information) AN-334-84-stack_gpkg-zip (Geopackage files EPSG:32633, profile track and shot points location) AN-334-84.tif AN-334-84-stack_aux (auxiliary data: acquisition and processing information) AN-334-84.SGY (digitized seismic profile)
DOI: 10.25582/data.2023-12.2973412/2482654
title: Data for EMSL Project 51287 from December 2023
DOI: 10.25582/data.2023-12.2973413/2482655
title: Data for EMSL Project 51287 from December 2023
DOI: 10.20350/digitalcsic/16749
title: Proxecto ProCoast – Primeira adaptación e optimización de perfiladores oceanográficos costeiros

description: 1 file.-- Documental científico submarino
description: El objetivo principal del Proyecto ProCoast (New multisensor PROfiling float technology to study COASTal upwelling ecosystems), del Programa de Ciencias Mariñas de Galicia (PT3.1), es la adaptación y optimización de perfiladores tipo Argo a zonas costeras. Participan Instituto de Investigaciones Marinas (IIM-CSIC), IEO-Coruña y CETMAR. En este vídeo se muestra el funcionamiento del perfilador PROCOAST, adaptación del modelo PROVOR CTS5, que fue instalado en el dique flotante de Marina Davila (Puerto de Vigo). Se pueden observar las diferentes fases de un perfil vertical estándar (descenso, parking, ascenso, emersión y transmisión de datos). Estos perfiladores tipo ARGO operan y están diseñados para el océano profundo (2000 m). En este vídeo se muestra la adaptaron estructural e hidráulica lograda para que, por primera vez, un perfilador ARGO funcione óptimamente en condiciones costeras (alta estratificación, &lt;20 m de profundidad). Se han realizado más de 44 tests de configuraciones diferentes, modificando hasta 20 parámetros hidráulicos y considerando una amplia diversidad de posibilidades (resolución vertical y temporal de las medidas, duración de los perfiles, tiempos de transmisión, etc.). Durante más de 7 meses, se han obtenido más de 800 perfiles (&gt;240.000 datos) de CTD y oxígeno, con alta resolución temporal (hasta 1 h) y vertical (hasta 10 cm), permitiendo observar con mayor detalle las condiciones hidrográficas y la variabilidad de la concentración de oxígeno en la columna de agua con un mantenimiento mínimo
DOI: 10.25582/data.2023-12.2973414/2482656
title: Data for EMSL Project 51287 from December 2023
DOI: 10.25582/data.2023-12.2973415/2482657
title: Data for EMSL Project 51287 from December 2023
DOI: 10.25582/data.2023-12.2973416/2482658
title: Data for EMSL Project 51287 from December 2023
DOI: 10.25582/data.2023-12.2973417/2482659
title: Data for EMSL Project 51287 from December 2023
DOI: 10.25582/data.2023-12.2973419/2482660
title: Data for EMSL Project 51287 from December 2023
DOI: 10.25582/data.2023-12.2973420/2482661
title: Data for EMSL Project 51287 from December 2023
DOI: 10.25582/data.2023-12.2973422/2482662
title: Data for EMSL Project 51287 from December 2023
DOI: 10.25582/data.2023-12.2973423/2482663
title: Data for EMSL Project 51287 from December 2023
DOI: 10.25582/data.2023-12.2973424/2482664
title: Data for EMSL Project 51287 from December 2023
DOI: 10.25582/data.2023-12.2973425/2482665
title: Data for EMSL Project 51287 from December 2023
DOI: 10.25582/data.2023-12.2973429/2482666
title: Data for EMSL Project 51287 from December 2023
DOI: 10.25582/data.2023-12.2973430/2482667
title: Data for EMSL Project 51287 from December 2023
DOI: 10.25582/data.2023-12.2973433/2482668
title: Data for EMSL Project 51287 from December 2023
DOI: 10.25582/data.2023-12.2973434/2482669
title: Data for EMSL Project 51287 from December 2023
DOI: 10.25582/data.2023-12.2973436/2482670
title: Data for EMSL Project 51287 from December 2023
DOI: 10.25582/data.2023-12.2973437/2482671
title: Data for EMSL Project 51287 from December 2023
DOI: 10.25582/data.2023-12.2973438/2482672
title: Data for EMSL Project 51287 from December 2023
DOI: 10.25582/data.2023-12.2973439/2482673
title: Data for EMSL Project 51287 from December 2023
DOI: 10.15468/dl.w893n3
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Philippines",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Ageratina adenophora (Spreng.) R.M.King & H.Rob."
 ]
}

 The dataset includes 11 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044987-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cdh48w
title: Occurrence Download

description: A dataset containing 150 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Agrostis capillaris x castellana"
 ]
}

 The dataset includes 150 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044986-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2023-12.2973441/2482674
title: Data for EMSL Project 51287 from December 2023
DOI: 10.15468/dl.y3z5qh
title: Occurrence Download

description: A dataset containing 10191 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bonasa umbellus (Linnaeus, 1766)",
 "BasisOfRecord is one of (Human Observation, Living Specimen, Machine Observation, Observation, Occurrence evidence)",
 "Year 2008-2024",
 "Country is United States of America",
 "StateProvince is Montana"
 ]
}

 The dataset includes 10191 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044985-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2023-12.2973442/2482675
title: Data for EMSL Project 51287 from December 2023
DOI: 10.25582/data.2023-12.2973443/2482676
title: Data for EMSL Project 51287 from December 2023
DOI: 10.25582/data.2023-12.2973448/2482677
title: Data for EMSL Project 51287 from December 2023
DOI: 10.25582/data.2023-12.2973450/2482678
title: Data for EMSL Project 51287 from December 2023
DOI: 10.25582/data.2023-12.2973451/2482679
title: Data for EMSL Project 51287 from December 2023
DOI: 10.25582/data.2023-12.2973452/2482680
title: Data for EMSL Project 51287 from December 2023
DOI: 10.25582/data.2023-12.2973453/2482681
title: Data for EMSL Project 51287 from December 2023
DOI: 10.25582/data.2023-12.2973456/2482682
title: Data for EMSL Project 51287 from December 2023
DOI: 10.25582/data.2023-12.2973457/2482683
title: Data for EMSL Project 51287 from December 2023
DOI: 10.25582/data.2023-12.2973458/2482684
title: Data for EMSL Project 51287 from December 2023
DOI: 10.25582/data.2023-12.2973460/2482685
title: Data for EMSL Project 51287 from December 2023
DOI: 10.15468/dl.mbjbuq
title: Occurrence Download

description: A dataset containing 80173 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gambusia affinis (Baird & Girard, 1853)"
 ]
}

 The dataset includes 80173 records from 213 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044984-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2023-12.2973461/2482686
title: Data for EMSL Project 51287 from December 2023
DOI: 10.25582/data.2023-12.2973463/2482687
title: Data for EMSL Project 51287 from December 2023
DOI: 10.25582/data.2023-12.2973464/2482688
title: Data for EMSL Project 51287 from December 2023
DOI: 10.25582/data.2023-12.2973466/2482689
title: Data for EMSL Project 51287 from December 2023
DOI: 10.15468/dl.m74wwx
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Agrostis capillaris x clavata"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044988-241126133413365/datasets/export for details.
DOI: 10.25582/data.2023-12.2973467/2482690
title: Data for EMSL Project 51287 from December 2023
DOI: 10.15468/dl.a6pj7a
title: Occurrence Download

description: A dataset containing 126084 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gleditsia triacanthos L."
 ]
}

 The dataset includes 126084 records from 664 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044977-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2023-12.2973468/2482691
title: Data for EMSL Project 51287 from December 2023
DOI: 10.25582/data.2023-12.2973470/2482692
title: Data for EMSL Project 51287 from December 2023
DOI: 10.25582/data.2023-12.2973471/2482693
title: Data for EMSL Project 51287 from December 2023
DOI: 10.25582/data.2023-12.2973473/2482694
title: Data for EMSL Project 51287 from December 2023
DOI: 10.25582/data.2023-12.2973474/2482695
title: Data for EMSL Project 51287 from December 2023
DOI: 10.25582/data.2023-12.2973477/2482696
title: Data for EMSL Project 51287 from December 2023
DOI: 10.25582/data.2023-12.2973478/2482697
title: Data for EMSL Project 51287 from December 2023
DOI: 10.25582/data.2023-12.2973479/2482698
title: Data for EMSL Project 51287 from December 2023
DOI: 10.25582/data.2023-12.2973480/2482699
title: Data for EMSL Project 51287 from December 2023
DOI: 10.25582/data.2023-12.2973482/2482700
title: Data for EMSL Project 51287 from December 2023
DOI: 10.15468/dl.w5x69p
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Picardiceras picardi Parnes, 1986"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044990-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2023-12.2973483/2482701
title: Data for EMSL Project 51287 from December 2023
DOI: 10.25582/data.2023-12.2973484/2482702
title: Data for EMSL Project 51287 from December 2023
DOI: 10.15468/dl.ekdk9t
title: Occurrence Download

description: A dataset containing 3756 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dendragapus obscurus (Say, 1822)",
 "BasisOfRecord is one of (Human Observation, Living Specimen, Machine Observation, Observation, Occurrence evidence)",
 "Year 2008-2024",
 "Country is United States of America",
 "StateProvince is Montana"
 ]
}

 The dataset includes 3756 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044989-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2023-12.2973488/2482703
title: Data for EMSL Project 51287 from December 2023
DOI: 10.25582/data.2023-12.2973489/2482704
title: Data for EMSL Project 51287 from December 2023
DOI: 10.25582/data.2023-12.2973491/2482705
title: Data for EMSL Project 51287 from December 2023
DOI: 10.25582/data.2023-12.2973492/2482706
title: Data for EMSL Project 51287 from December 2023
DOI: 10.5281/zenodo.14538631
title: Seed-based rehabilitation of Phytophthora cinnamomi-infested forest sites

description: The plant pathogen Phytophthora cinnamomi is a significant threat to native vegetation around the world. The pathogen has significantly damaged the native vegetation in the south-west of Western Australia which is a global biodiversity hotspot. . Majority of native species are susceptible to the pathogen. Due to the significant damage pathogen has caused, the forest structure has been changed reducing the habitat and resource availability for dependent flora and fauna. Complete eradication of the pathogen from infested sites is not possible. This study assessed the feasibility of rehabilitating P. cinnamomi-infested forest sites with native resistant species.
DOI: 10.5281/zenodo.14538632
title: Seed-based rehabilitation of Phytophthora cinnamomi-infested forest sites

description: The plant pathogen Phytophthora cinnamomi is a significant threat to native vegetation around the world. The pathogen has significantly damaged the native vegetation in the south-west of Western Australia which is a global biodiversity hotspot. . Majority of native species are susceptible to the pathogen. Due to the significant damage pathogen has caused, the forest structure has been changed reducing the habitat and resource availability for dependent flora and fauna. Complete eradication of the pathogen from infested sites is not possible. This study assessed the feasibility of rehabilitating P. cinnamomi-infested forest sites with native resistant species.
DOI: 10.25582/data.2023-12.2973493/2482707
title: Data for EMSL Project 51287 from December 2023
DOI: 10.25582/data.2023-12.2973494/2482708
title: Data for EMSL Project 51287 from December 2023
DOI: 10.25582/data.2023-12.2973495/2482709
title: Data for EMSL Project 51287 from December 2023
DOI: 10.25582/data.2023-12.2973497/2482710
title: Data for EMSL Project 51287 from December 2023
DOI: 10.25582/data.2023-12.2973498/2482711
title: Data for EMSL Project 51287 from December 2023
DOI: 10.15468/dl.q6bvcy
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Oxalis pes-caprae Savigny, 1798"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044991-241126133413365/datasets/export for details.
DOI: 10.15468/dl.c7nt4n
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Agrostis capillaris x vinealis"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044992-241126133413365/datasets/export for details.
DOI: 10.25582/data.2023-12.2973501/2482712
title: Data for EMSL Project 51287 from December 2023
DOI: 10.25582/data.2023-12.2973502/2482713
title: Data for EMSL Project 51287 from December 2023
DOI: 10.15468/dl.84suzp
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gleditsia triacanthos x inermis"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044993-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2023-12.2973503/2482714
title: Data for EMSL Project 51287 from December 2023
DOI: 10.25582/data.2023-12.2973508/2482715
title: Data for EMSL Project 51287 from December 2023
DOI: 10.25582/data.2023-12.2973509/2482716
title: Data for EMSL Project 51287 from December 2023
DOI: 10.25582/data.2023-12.2973510/2482717
title: Data for EMSL Project 51287 from December 2023
DOI: 10.25582/data.2023-12.2973511/2482718
title: Data for EMSL Project 51287 from December 2023
DOI: 10.25582/data.2023-12.2973512/2482719
title: Data for EMSL Project 51287 from December 2023
DOI: 10.25582/data.2023-12.2973513/2482720
title: Data for EMSL Project 51287 from December 2023
DOI: 10.25582/data.2023-12.2973514/2482721
title: Data for EMSL Project 51287 from December 2023
DOI: 10.25582/data.2023-12.2973516/2482722
title: Data for EMSL Project 51287 from December 2023
DOI: 10.25582/data.2023-12.2973517/2482723
title: Data for EMSL Project 51287 from December 2023
DOI: 10.25582/data.2023-12.2973518/2482724
title: Data for EMSL Project 51287 from December 2023
DOI: 10.25582/data.2023-12.2973519/2482725
title: Data for EMSL Project 51287 from December 2023
DOI: 10.48597/5ksq-j7yg
title: Inorganics in air and particle phase at Zarra

description: Measurement of Inorganics in air and particle phase at Zarra
DOI: 10.48597/9qga-zdbu
title: Measurement of Inorganics in air and particle phase at Zarra

description: Measurement of Inorganics in air and particle phase at Zarra
DOI: 10.60594/w4j013
title: Vegetation Biomass Data from the 2023 Department of Defense Wildland Fire Science Initiative Eglin Air Force Base Campaign

description: To characterize fine-scale variations in vegetation structure, quantify heterogeneity, and capture fuel estimation and consumption, destructive clip plots were sampled across the G-20, G-25, and L-25 units. This dataset provides the vegetation biomass by fuel type data collected before (December 2022) and after (March 2023) the prescribed burns.This dataset is part of the Wildland Fire Science Initiative (WFSI) research burn campaign held at Eglin Air Force Base from March 11 to 19, 2023. In addition, pre- and post-fire data collection occurred before and after these dates. See the most recent version of the contextual dataset “Eglin Air Force Base 2023: Contextual data for Wildland Fire Science Initiative (WFSI) Research Burn Campaign” for more information about the campaign (see Annotations section for has Metadata link).
DOI: 10.48597/3cf8-mms4
title: Measurement of Inorganics in air and particle phase at Zarra

description: Measurement of Inorganics in air and particle phase at Zarra
DOI: 10.2905/d503bb56-9884-4e4d-bb8f-d86711d9f749
title: GHS-AGE R2025A – Global gridded estimates of the dominant age of the built stock (1975-2020)

description: GHS-AGE is a component of the Global Human Settlement Layer (GHSL). GHS-AGE consists of spatial raster datasets representing global, gridded estimates of the dominant age of the built stock. GHS-AGE has been derived from a multi-temporal stack of gridded estimates of built-up surface (GHS-BUILT-S R2023A, 1975-2020) and represents the epoch in which 50% of the built-up surface of 2020 has been exceeded for the first time, for each grid cell. GHS-AGE is available in World Mollweide Equal Area projection (ESRI:54009), at 100 m and 1000 m resolution, and for two levels of temporal resolution (i.e., 5-year and 10-year intervals). GHS-AGE enables the global, fine-grained modelling of approximate building construction epoch information using a globally consistent methodology, and constitutes important baseline data for a multitude of applications related to energy efficiency, building stock resilience and vulnerability, urban studies, disaster preparedness and disaster risk management.
DOI: 10.60594/w4np42
title: Fuel Moisture Content Data from the 2023 Department of Defense Wildland Fire Science Initiative Eglin Air Force Base Campaign

description: To measure fuel moisture content, vegetation was collected at adjacent burn units with similar land cover, species composition, and time since the last prescribed burn to G-20 and G-25. This datasetprovides the fuel moisture content by fuel type data collected in March 2023.This dataset is part of the Wildland Fire Science Initiative (WFSI) research burn campaign held at Eglin Air Force Base from March 11 to 19, 2023. In addition, pre- and post-fire data collection occurred before and after these dates. See the most recent version of the contextual dataset “Eglin Air Force Base 2023: Contextual data for Wildland Fire Science Initiative (WFSI) Research Burn Campaign” for more information about the campaign (see Annotations section for has Metadata link).