cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.15386785
title: Cloud Condensation Nuclei measurements in summertime in Narsaq, South Greenland during Greenfjord 2023

description: Abstract and dataset contents:

This dataset contains CCN total concentration measurements averaged at 10-second resolution (from a native 1-second resolution) using a Droplet Measurement Technologies CCNC-100 instrument. Measurements were performed at the Narsaq International Research Station (NIRS) in southern Greenland (60.9158°N, 46.0533°W, 17 m above sea level), across a range of supersaturations: 0.1%, 0.15%, 0.2%, 0.5%, and 1% during the Greenfjord campaign in June-August 2023.

Full description of the dataset can be found in the metadata_CCN.doc file. Briefly, the dataset file (Lv2_CCN.csv) includes:



Datetime

Supersaturation measurements given by CCN counter (0.1,0.15,0.2,0.5,1%)

CCN number concentration per supersaturation

Interstitial inlet flag to inform data user when CCN counter was switched from total inlet to PM1 inlet

Pollution flag to inform data user when short-lived spikes can be found in the data from local anthropogenic pollution

Inlet relative humidity (RH) flag to inform the data user when the RH in the inlet system reached over 40 %


Funding acknowledgements:

This work was supported by funding from the Swiss National Science Foundation grant no. 200021_212101, the Swiss Polar Institute grant no. SPI-FLAG-2021-002 Greenfjord, and the ENAC Flagship 2022 ECO-Plains.
DOI: 10.15468/dl.rhqbvk
title: Occurrence Download

description: A dataset containing 4166417 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Calypte anna (R.Lesson, 1829))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 4166417 records from 90 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028416-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7294/26276062
title: Honey bee waggle dance data and code to analyze the spatial foraging patterns of co-localized colonies in Virginia as part of Bees-as-Bioindicators project.

description: Optimal foraging theory (OFT) predicts that animals employ foraging strategies that maximize a particular currency, such as net energetic efficiency, to meet their nutritional demands. Two non-exclusive patterns that arise from OFT are convergence on high-quality resources and resource partitioning. Honey bees make collective decisions by integrating their individual foraging with social recruitment behaviors: returning foragers communicate the approximate vector to high-quality resources using waggle dances. Because we can eavesdrop on their communications, waggle dance decoding is a valuable tool for exploring OFT predictions as it allows us to map how honey bees use landscapes. In this study, we analyzed 8049 dances from co-localized colonies across three landscapes to investigate whether neighboring colonies forage by not partitioning patches (i.e. converging their food collection on the same patches), by partitioning at the landscape level, or by partitioning at the local level. To differentiate between these three possible scenarios, we examined three metrics: (1) inter-dance distances between and within colonies; (2) k-nearest neighbors; and (3) k-means clustering. We observed no difference in the distances between dances performed by bees from the same colony compared to those from different colonies. Also, we found at each of the three field sites that dances from the same colony were not more likely to appear as close neighbors to each other. Finally, k-means cluster analysis demonstrates that dance locations advertised by the same colony aggregated non-randomly in the three sites, where dances from the same colony comprised a significant majority of dances within k-means clusters and 62% of clusters consisted entirely of dances from a single colony. Together, these results support a foraging scenario where honey bees partition their foraging, but at the local level. This strategy may help limit inter-colony foraging competition.
DOI: 10.7294/26276062.v2
title: Honey bee waggle dance data and code to analyze the spatial foraging patterns of co-localized colonies in Virginia as part of Bees-as-Bioindicators project.

description: Optimal foraging theory (OFT) predicts that animals employ foraging strategies that maximize a particular currency, such as net energetic efficiency, to meet their nutritional demands. Two non-exclusive patterns that arise from OFT are convergence on high-quality resources and resource partitioning. Honey bees make collective decisions by integrating their individual foraging with social recruitment behaviors: returning foragers communicate the approximate vector to high-quality resources using waggle dances. Because we can eavesdrop on their communications, waggle dance decoding is a valuable tool for exploring OFT predictions as it allows us to map how honey bees use landscapes. In this study, we analyzed 8049 dances from co-localized colonies across three landscapes to investigate whether neighboring colonies forage by not partitioning patches (i.e. converging their food collection on the same patches), by partitioning at the landscape level, or by partitioning at the local level. To differentiate between these three possible scenarios, we examined three metrics: (1) inter-dance distances between and within colonies; (2) k-nearest neighbors; and (3) k-means clustering. We observed no difference in the distances between dances performed by bees from the same colony compared to those from different colonies. Also, we found at each of the three field sites that dances from the same colony were not more likely to appear as close neighbors to each other. Finally, k-means cluster analysis demonstrates that dance locations advertised by the same colony aggregated non-randomly in the three sites, where dances from the same colony comprised a significant majority of dances within k-means clusters and 62% of clusters consisted entirely of dances from a single colony. Together, these results support a foraging scenario where honey bees partition their foraging, but at the local level. This strategy may help limit inter-colony foraging competition.
DOI: 10.15468/dl.8vs8t8
title: Occurrence Download

description: A dataset containing 2603 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Deltarhynchus flammulatus (Lawrence, 1875)",
 "Year is greater than or equal to 1950",
 {
 "or" : [
 "GadmGid is USA",
 "GadmGid is CAN",
 "GadmGid is MEX"
 ]
 }
 ]
}

 The dataset includes 2603 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028431-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48579/pro/zavwk3
title: Loing: Plan d'une partie de la rivière vers Nemours, carte de François Jonas Eustache (1821)

description: Cette carte a été levée à l'occasion de la construction du canal du Loing. Le projet élaboré à partir de 1644 a débuté en 1720 et le nouveau canal a été ouvert trois ans plus tard. La carte a donc sans doute été réalisée entre 1720 et 1723. La mise en couleur et l'iconographie de la carte restent parfaitement conventionnelles et correspondent aux réalisations de cette période. Son géoréférencement révèle que notre document est assez exact. On remarque une modification du tracé du canal près d'Epizy, peut-être le résultat de la modernisation des canaux prévus dans le cadre du plan Freycinet. Raster GeoTIFF : EAT_Loing_Nemours_Eustache_1821.tif Service des Cartes et Plans des Archives Nationales. Cote AN F/14/10065/9/2. Numérisation en 2014. Géoréférencement en 2014 par Julie DAVODET. Métadonnées par Julie DAVODET et Juliette AUDET. Mise en ligne en avril 2015.
DOI: 10.5281/zenodo.14170030
title: Supplementary data – OSH knowledge graph (OSH-KG)

description: Additional materials for the paper "Obtaining Occupational Safety and Health Insights with a Knowledge Base" that introduces the Occupational Safety and Health Knowledge Graph (OSH-KG).

Content



ontology.tar.gz – the OSH-KG ontology. The archive contains both the individual ontology files and a merged version.

queries.tar.gz – SPARQL queries used in the paper, along with their results.

rules.tar.gz – SHACL-AF reasoning rules used in the paper.

assist.tar.gz – vocabulary, reasoning rules, and queries for integrating OSH-KG with data from the ASSIST-IoT project.

*.nq.gz / *.nt.gz – individual named graphs of OSH-KG in the N-Quads format.

*.jelly.gz – individual named graphs of OSH-KG in the Jelly format.

code.tar.gz – code in Python (Jupyter notebooks) used to generate the vocabularies and RDF translations of Eurostat data.


License

Please see LICENSE.md for details. Different resources in this repository have different licenses, but are generally freely licensed.
DOI: 10.5281/zenodo.14170031
title: Supplementary data – OSH knowledge graph
DOI: 10.5281/zenodo.14170136
title: Supplementary data – OSH knowledge graph (OSH-KG)

description: Additional materials for the paper "Obtaining Occupational Safety and Health Insights with a Knowledge Base" that introduces the Occupational Safety and Health Knowledge Graph (OSH-KG).

Content



ontology.tar.gz – the OSH-KG ontology. The archive contains both the individual ontology files and a merged version.

queries.tar.gz – SPARQL queries used in the paper, along with their results.

rules.tar.gz – SHACL-AF reasoning rules used in the paper.

*.nq.gz – individual named graphs of OSH-KG in the N-Quads format.

*.jelly.gz – individual named graphs of OSH-KG in the Jelly format.


License

Please see LICENSE.md for details. Different resources in this repository have different licenses, but are generally freely licensed.
DOI: 10.5281/zenodo.15396979
title: Supplementary data – OSH knowledge graph (OSH-KG)

description: Additional materials for the paper "Obtaining Occupational Safety and Health Insights with a Knowledge Base" that introduces the Occupational Safety and Health Knowledge Graph (OSH-KG).

Content



ontology.tar.gz – the OSH-KG ontology. The archive contains both the individual ontology files and a merged version.

queries.tar.gz – SPARQL queries used in the paper, along with their results.

rules.tar.gz – SHACL-AF reasoning rules used in the paper.

assist.tar.gz – vocabulary, reasoning rules, and queries for integrating OSH-KG with data from the ASSIST-IoT project.

*.nq.gz / *.nt.gz – individual named graphs of OSH-KG in the N-Quads format.

*.jelly.gz – individual named graphs of OSH-KG in the Jelly format.


License

Please see LICENSE.md for details. Different resources in this repository have different licenses, but are generally freely licensed.
DOI: 10.5281/zenodo.15397080
title: Supplementary data – OSH knowledge graph (OSH-KG)

description: Additional materials for the paper "Obtaining Occupational Safety and Health Insights with a Knowledge Base" that introduces the Occupational Safety and Health Knowledge Graph (OSH-KG).

Content



ontology.tar.gz – the OSH-KG ontology. The archive contains both the individual ontology files and a merged version.

queries.tar.gz – SPARQL queries used in the paper, along with their results.

rules.tar.gz – SHACL-AF reasoning rules used in the paper.

assist.tar.gz – vocabulary, reasoning rules, and queries for integrating OSH-KG with data from the ASSIST-IoT project.

*.nq.gz / *.nt.gz – individual named graphs of OSH-KG in the N-Quads format.

*.jelly.gz – individual named graphs of OSH-KG in the Jelly format.

code.tar.gz – code in Python (Jupyter notebooks) used to generate the vocabularies and RDF translations of Eurostat data.


License

Please see LICENSE.md for details. Different resources in this repository have different licenses, but are generally freely licensed.
DOI: 10.5066/p14dcdmd
title: Lake Ontario Mysis diluviana catch and length data, 2021-2022

description: This dataset contains Mysis count and length measurements from vertical whole-column net tows along a depth gradient in Lake Ontario and associated operation data. Sample dates occurred during August 2021 and June, July, and August 2022. Site depths ranged from 70 to 202 meters bottom depth. Sites were sampled using a paired day-night sampling approach. At each visit, the net was lowered to 2 meters from the bottom and raised to the surface. Two to three replicate tows were completed. These data can be used to estimate numeric density or biomass of Mysis, and are intended for use by fisheries managers, academia, researchers, and the public.
DOI: 10.15468/dl.2e3h8t
title: Occurrence Download

description: A dataset containing 4166417 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Calypte anna (R.Lesson, 1829))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 4166417 records from 90 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028419-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.buvpwy
title: Occurrence Download

description: A dataset containing 16649 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Asio clamator (Vieillot, 1808)"
 ]
}

 The dataset includes 16649 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028432-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ksyfwd
title: Occurrence Download

description: A dataset containing 1016 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Tunicates collection (TSZT) The Arctic University Museum of Norway"
 ]
}

 The dataset includes 1016 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028433-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v7tyta
title: Occurrence Download

description: A dataset containing 327 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Trissolcus basalis (Wollaston, 1858)"
 ]
}

 The dataset includes 327 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028434-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/ds/7406751
title: URB Networks
DOI: 10.15468/dl.m4wba4
title: Occurrence Download

description: A dataset containing 38305 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Streptopelia decaocto (Frivaldszky, 1838)",
 "BasisOfRecord is one of (Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Country is Türkiye",
 "Year is greater than or equal to 2010",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 38305 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028435-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.25399717.v1
title: Untitled Item

description: Testate amoebae are unicellular organisms that occur worldwide in lacustrine habitats and have been widely used as proxies for palaeoreconstruction and bioindicators of contemporary ecosystems. Our knowledge of the environmental factors determining the spatial distribution of testate amoebae in freshwater stratified lakes is still limited. The aim of this study was to assess the influence of environmental variables on testate amoebae assemblages inhabiting both relatively close and distant habitats within one lake basin and to determine the factors influencing the species structure and spatial distribution of testate amoebae communities along a depth gradient and within one limnological zone In our study we used multystation approach within one waterbody and collected samples at five transects in four limnological zones, total 69 samples from 24 sites. Redundancy and k-means analysis distinguished four groups of samples; two represent shallow water, one sublittoral and one deep depth habitats. The analysis of the dominance species structure of groups allows to select variables influencing tetstae amoebae communities along a depth gradient and within limnological zones. o We found that the number of groups of samples identified in the limnological zone reflects the level of variability of environmental conditions within the limnological zone. Our results highlight three mechanisms determining species structure along a depth gradient, in shallow water habitats and in deep depth habitats in stratified freshwater lake. Changes of species structure along a depth gradient were determined by changes in TEMP, COND and BGA-PE, in shallow water by amount of sand content in sediments, presence or absence of water plants and ORP, BGA-PC, pH, COND and PPT and in deep depth habitats by DOC and BGA-PE.
DOI: 10.25326/c93j-kr14
title: Atmospheric simulation chamber study: desert dust + water + ice + None - Cloud study - 2007-09-25
DOI: 10.5281/zenodo.15396799
title: FRIDA v2.1 Endogenous Model Behavior (EMB) 100000 member ensemble

description: EMB run of FRIDA v2.1 (https://zenodo.org/records/15310860) on levante.dkrz.de using https://github.com/BenjaminBlanz/WorldTransFrida-Uncertainty
DOI: 10.7274/28792595.v1
title: Understanding Controls on Stream Ecosystem Function Using Experiments Across a Range of Spatial Scales from Mesocosms to Watersheds

description: Global environmental changes such as climate and land use change alter the quantity of energy and nutrient inputs to aquatic ecosystems. My dissertation examines how organic matter and nutrient inputs influence stream biogeochemistry and ecosystem function under changing conditions, using experiments conducted across spatial scales. In my first chapter, I assessed how stream warming affects nutrient uptake across different substrates using indoor experimental mesocosms. Warming increased the rate of nutrient uptake, particularly by biofilms on inorganic substrates. Specifically, ammonium (NH4+-N) removal was more sensitive to elevated temperatures than soluble reactive phosphorus (SRP). These findings suggest that on a warming planet, nutrient cycling may be altered. In my second chapter, I compared ecosystem responses to a novel form of organic matter input, periodical cicadas, and standard leaf litter using outdoor experimental streams. Cicadas decomposed rapidly, releasing pulses of dissolved nutrients and carbon that enhanced metabolism and nutrient uptake compared to leaves, highlighting their role as a unique resource subsidy. In my third chapter, I quantified reach-scale denitrification, a process that removes nitrogen (N) from streams, in a tributary and mainstem river across three seasons, by measuring nitrogen gas (N2) with a membrane inlet mass spectrometer (MIMS). Denitrification rates were higher per unit area streambed in the tributary, particularly in spring when nitrate (NO3--N) concentrations peaked. However, when expressed per km of channel length, rates were more similar between systems, indicating that human-impacted freshwaters of all sizes play a role in N removal. In my fourth chapter, I evaluated how winter cover crops affect sediment export in two agricultural watersheds. Cover crops reduced field-scale sediment export by 26–65% and, when fully implemented, could decrease watershed-scale export by 6-67%. Therefore, cover crops may limit sediment export during winter and spring. In my fifth chapter, I conducted a synoptic sampling of 105 stream and river sites across four river basins in Michigan and Indiana to examine how land use and stream size influence water chemistry signatures. Concentrations of NO3--N, NH4+-N, and SRP were higher in agricultural basins and did not differ between tributary and mainstem sites, and N2 and nitrous oxide (N2O) disequilibrium was more strongly associated with stream discharge than NO3--N concentrations, highlighting the complexity of nutrient dynamics in human-impacted systems. As human disturbances and climate change reshape stream ecosystems, understanding the drivers of biogeochemical processes is critical. My research advances knowledge of nutrient and energy dynamics in fluvial systems, informs conservation efforts, predicts aquatic responses to climate warming, and highlights the critical role of streams and rivers in mitigating nutrient pollution on a changing planet.
DOI: 10.48579/pro/ckh7oj
title: Marne: Vallée de la Marne de Fronville à Chamouilley (19ème siècle)

description: Carte de la vallée de la Marne de Fronville à Chamouilley (19ème siècle). Ce plan a été levé par les géomètres Dupaty - Minguet - Matrat – Thévenot. C'est un ensemble de six feuilles, ici la feuille 2. Un grand soin a été apporté à la représentation des églises, très stylisées. Les prés, prairies, terres labourables et vignes sont indiqués. Les chemins sont également représentés. Cette carte est élaborée selon le « genre fini », qui apporte un grand soin aux détails et à la couleur, qui doit être transparente et s’approcher le plus possible de la nature. Le tracé est minutieux et appliqué et l’on distingue même les ombres des arbres. Raster GeoTIFF : EAT_Marne_Fronville_Chamouilley_1800.tif Service des Cartes et Plans des Archives Nationales. Cote AN F/14/10068/1/13b. Numérisation en 2015. Géoréférencement en 2015 par Juliette AUDET. Métadonnées par Juliette AUDET. Mise en ligne en juin 2015.