cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.9a84fb
title: Occurrence Download

description: A dataset containing 14465 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Bird Ringing Centre in Sweden (NRM)",
 "Geometry POLYGON((19.586310679275094 66.11280810400496,21.897954514891538 66.11280810400496,21.897954514891538 68.4244519396214,19.586310679275094 68.4244519396214,19.586310679275094 66.11280810400496))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 14465 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023879-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vfcfhb
title: Occurrence Download

description: A dataset containing 4336 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Camellia oleifera Abel."
 ]
}

 The dataset includes 4336 records from 80 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023880-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13384907
title: Artificial fingerprints engraved through block-copolymers as nanoscale physical unclonable functions for authentication and identification - Dataset

description: This is the dataset of "Artificial fingerprints engraved through block-copolymers as nanoscale physical unclonable functions for authentication and identification" by Irdi Murataj, Chiara Magosso, Stefano Carignano, Matteo Fretto, Federico Ferrarese Lupi, and Gianluca Milano, Nature Communications (2024), DOI: 10.1038/s41467-024-54492-8

Part of this was funded by the project MEMQuD, code 20FUN06. The project has received funding from the EMPIR program co-financed by the Participating States and from the European Union's Horizon 2020 research and innovation program.

Part of this work was supported by the European project OpMetBat, code 21GRD01. The project has received funding from the European Partnership on Metrology, cofinanced from the the European Union's Horizon Europe Research and Innovation Programme, and by Participating States.

Part of this work was supported by the European Union - Next Generation EU under the National Recovery and Resilience Plan (NRRP), Mission 04 Component 2 Investment 3.1 | Project Code: IR0000027 - CUP: B33C22000710006 - iENTRANCE@ENL: Infrastructure for Energy TRAnsition aNd Circular Economy @EuroNanoLab.
DOI: 10.5281/zenodo.13384908
title: Artificial fingerprints engraved through block-copolymers as nanoscale physical unclonable functions for authentication and identification - Dataset

description: This is the dataset of "Artificial fingerprints engraved through block-copolymers as nanoscale physical unclonable functions for authentication and identification" by Irdi Murataj, Chiara Magosso, Stefano Carignano, Matteo Fretto, Federico Ferrarese Lupi, and Gianluca Milano, Nature Communications (2024), DOI: 10.1038/s41467-024-54492-8

Part of this was funded by the project MEMQuD, code 20FUN06. The project has received funding from the EMPIR program co-financed by the Participating States and from the European Union's Horizon 2020 research and innovation program.

Part of this work was supported by the European project OpMetBat, code 21GRD01. The project has received funding from the European Partnership on Metrology, cofinanced from the the European Union's Horizon Europe Research and Innovation Programme, and by Participating States.

Part of this work was supported by the European Union - Next Generation EU under the National Recovery and Resilience Plan (NRRP), Mission 04 Component 2 Investment 3.1 | Project Code: IR0000027 - CUP: B33C22000710006 - iENTRANCE@ENL: Infrastructure for Energy TRAnsition aNd Circular Economy @EuroNanoLab.
DOI: 10.6084/m9.figshare.27867792
title: CHARACTERISTICS AND DRIVING MECHANISMS OF MIXING AND STRATIFICATION IN SUANCES ESTUARY USING THE POTENTIAL ENERGY ANOMALY BUDGET EQUATION

description: This study first applies a method to analyze the different mechanisms driving the mixing and stratification of the water column in Suances estuary, a small estuary with large intertidal zones, by using numerical modeling to calculate the potential energy anomaly (ϕ) and its derivative (). Numerical results show that Suances estuary presents an ellipse of mixing and stratification variability driven by, firstly, the river flow (seasonal cycle – monthly time scale), secondly, the tidal phase (ebb-flood cycle – diurnal time scale) and, lastly, the tidal magnitude (spring-neap cycle – fortnightly time scale). Furthermore, these results explicitly highlight how the driving mechanisms can vary for the same estuary geometry at different locations due to diurnal, fortnightly and seasonal changes in forcing. The predominant driving mechanisms in Suances estuary are straining (S) tending to stratify the estuary, advection (A) tending to mix it and non-linear straining (N), caused by contributions from intertidal areas that favor mixing or stratification according to the tidal cycles. The rest of the mechanisms can be discarded as being practically insignificant in the total contribution. Most of the time, the stratification zone is located between km 4 and 8 of the estuary, an area where the straining term predominates, since this is where the two water masses of different density converge, varying according to the flood-ebb cycle. Finally, in the upper and lower parts of the estuary, advection terms predominate, as these are areas where the flow velocity acquires a major role in displacing mixed or stratified fronts.
DOI: 10.6084/m9.figshare.27867792.v1
title: CHARACTERISTICS AND DRIVING MECHANISMS OF MIXING AND STRATIFICATION IN SUANCES ESTUARY USING THE POTENTIAL ENERGY ANOMALY BUDGET EQUATION

description: This study first applies a method to analyze the different mechanisms driving the mixing and stratification of the water column in Suances estuary, a small estuary with large intertidal zones, by using numerical modeling to calculate the potential energy anomaly (ϕ) and its derivative (). Numerical results show that Suances estuary presents an ellipse of mixing and stratification variability driven by, firstly, the river flow (seasonal cycle – monthly time scale), secondly, the tidal phase (ebb-flood cycle – diurnal time scale) and, lastly, the tidal magnitude (spring-neap cycle – fortnightly time scale). Furthermore, these results explicitly highlight how the driving mechanisms can vary for the same estuary geometry at different locations due to diurnal, fortnightly and seasonal changes in forcing. The predominant driving mechanisms in Suances estuary are straining (S) tending to stratify the estuary, advection (A) tending to mix it and non-linear straining (N), caused by contributions from intertidal areas that favor mixing or stratification according to the tidal cycles. The rest of the mechanisms can be discarded as being practically insignificant in the total contribution. Most of the time, the stratification zone is located between km 4 and 8 of the estuary, an area where the straining term predominates, since this is where the two water masses of different density converge, varying according to the flood-ebb cycle. Finally, in the upper and lower parts of the estuary, advection terms predominate, as these are areas where the flow velocity acquires a major role in displacing mixed or stratified fronts.
DOI: 10.15468/dl.e68qmk
title: Occurrence Download

description: A dataset containing 342 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((52.4 47.8,47.6 46.8,45.6 43.5,48.8 40.5,48.4 38,50.5 36.3,54.5 36.4,54.7 38.7,53.4 40.5,52.8 41.6,53.2 43,51.6 43.9,54.2 45.5,53.6 47,52.4 47.8))",
 "Depth is greater than or equal to 0m",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil)"
 ]
 }
 },
 "TaxonKey is Animalia",
 "CoordinateUncertaintyInMeters is less than 1e+05"
 ]
}

 The dataset includes 342 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023881-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.48zkpy
title: Occurrence Download

description: A dataset containing 31 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Camellia pachyandra Hu"
 ]
}

 The dataset includes 31 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023882-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dempyd
title: Occurrence Download

description: A dataset containing 1530 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "TaxonKey is Anolis acutus Hallowell, 1856"
 ]
}

 The dataset includes 1530 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023883-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.4476316
title: LoRaWAN Dense Indoor Sensor Network (DISN) Transmission Meta Data

description: We present a large data of indoor Long Range Wide Area Network (LoRaWAN) network metadata to study Dense Indoor Sensor Networks (DISN). We collected 14 million transmissions from 390 sensors between date February 2020 and date September 2020. The transmissions have been received by 3 gateways across 8 floors and distances up to 64 m. The prototype will run in the background throughout the project and the data set will be regularly updated.


 
description: The accompanying research is presented at IEEE International Conference on Pervasive Computing and Communications 2021 (PerCom'21). The research that produced this data set is funded by ETH Zürich under the grant ETH-15 16-2. We thank Michal Gath-Morad for the BIM used for distance computations.
DOI: 10.5281/zenodo.4476317
title: LoRaWAN Dense Indoor Sensor Network (DISN) Transmission Meta Data

description: We present a large data of indoor Long Range Wide Area Network (LoRaWAN) network metadata to study Dense Indoor Sensor Networks (DISN). We collected 14 million transmissions from 390 sensors between date February 2020 and date September 2020. The transmissions have been received by 3 gateways across 8 floors and distances up to 64 m. The prototype will run in the background throughout the project and the data set will be regularly updated.


 
description: The accompanying research is presented at IEEE International Conference on Pervasive Computing and Communications 2021 (PerCom'21). The research that produced this data set is funded by ETH Zürich under the grant ETH-15 16-2. We thank Michal Gath-Morad for the BIM used for distance computations.
DOI: 10.5281/zenodo.14191153
title: Hexameric proxies for studying softwood hemicellulose using CHARMM forcefield

description: CHARMM Topology files of hexameric xylose oligomers decorated with different patterns of 4-O-methyl-glucuronic acid and L-arabinose substitutions as proxy molecules for softwood xylan.

Configuration files for the individual molecules as well as slab geometries representing the major cellulose surfaces ((100), (110), (1-10)) are also included.

All files in GROMACS format.
DOI: 10.5281/zenodo.14191154
title: Hexameric proxies for studying softwood hemicellulose using CHARMM forcefield

description: CHARMM Topology files of hexameric xylose oligomers decorated with different patterns of 4-O-methyl-glucuronic acid and L-arabinose substitutions as proxy molecules for softwood xylan.

Configuration files for the individual molecules as well as slab geometries representing the major cellulose surfaces ((100), (110), (1-10)) are also included.

All files in GROMACS format.
DOI: 10.5281/zenodo.14161800
title: INSURE DK Vejrumbro 2021_22
DOI: 10.15468/dl.6dhekn
title: Occurrence Download

description: A dataset containing 20658 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Cystoseira C.Agardh, 1820"
 ]
}

 The dataset includes 20658 records from 213 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023884-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25921/esjz-1w61
title: NOAA Climate Data Record (CDR) of NASA NOAA LASP Solar Spectral Irradiance (NNLSSI), Version 3
DOI: 10.15468/dl.xzyyxr
title: Occurrence Download

description: A dataset containing 1599 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((2.54884 43.31694,3.14237 42.21947,6.11002 43.05937,4.85577 43.6193,3.7247 43.6081,2.54884 43.31694))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Cystoseira C.Agardh, 1820"
 ]
}

 The dataset includes 1599 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023886-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5519/qd.bry95j3m
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (999 records)
DOI: 10.15468/dl.gkr6ra
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Camellia parafurfuracea S.Y.Liang"
 ]
}

 The dataset includes 17 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023887-241107131044228/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.20380347
title: Audience effects in sooty mangabey agonistic behaviour

description: Raw data
DOI: 10.6084/m9.figshare.20380347.v2
title: Audience effects in sooty mangabey agonistic behaviour

description: Raw data
DOI: 10.15468/dl.cdpefw
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Camellia parvicaudata Hung T.Chang"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023889-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4454me
title: Occurrence Download

description: A dataset containing 3079 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((1.68233 41.16862,4.96098 42.25355,7.0772 42.89736,6.65396 43.54117,3.31569 43.80346,1.68233 41.16862))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Paramuricea clavata (Risso, 1827)"
 ]
}

 The dataset includes 3079 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023890-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.exy543
title: Occurrence Download

description: A dataset containing 98136 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "TaxonKey is Nerium oleander L."
 ]
}

 The dataset includes 98136 records from 190 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023888-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ceqb3y
title: Occurrence Download

description: A dataset containing 7477 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aedes aegypti (Linnaeus, 1762)",
 "Country is Brazil",
 "Year is greater than or equal to 1500"
 ]
}

 The dataset includes 7477 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023891-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25403/upresearchdata.25055501
title: Smart city development and urban technologies : digital twin in cities

description: This research study considers one such urban technology, namely utilising digital twins in cities. Digital twin city (DTC) technology is investigated to identify the gap in soft infrastructure data inclusion in DTC development. Soft infrastructure data considers the social and economic systems of a city, which leads to the identification of socio-economic security (SES) as the metric of investigation. The study also investigated how GIS mapping of the SES system in the specific context of Hatfield informs a soft infrastructure understanding that contributes to DTC readiness. This research study collected desk-researched secondary data and field-researched primary data in GIS using ArcGIS PRO and the Esri Online Platform using ArcGIS software. To form conclusions, grounded theory qualitative analysis and descriptive statistics analysis of the spatial GIS data schema data sets were performed.
DOI: 10.25403/upresearchdata.25055501.v1
title: Smart city development and urban technologies : digital twin in cities

description: This research study considers one such urban technology, namely utilising digital twins in cities. Digital twin city (DTC) technology is investigated to identify the gap in soft infrastructure data inclusion in DTC development. Soft infrastructure data considers the social and economic systems of a city, which leads to the identification of socio-economic security (SES) as the metric of investigation. The study also investigated how GIS mapping of the SES system in the specific context of Hatfield informs a soft infrastructure understanding that contributes to DTC readiness. This research study collected desk-researched secondary data and field-researched primary data in GIS using ArcGIS PRO and the Esri Online Platform using ArcGIS software. To form conclusions, grounded theory qualitative analysis and descriptive statistics analysis of the spatial GIS data schema data sets were performed.
DOI: 10.15468/dl.fh8esf
title: Occurrence Download

description: A dataset containing 177 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Algae"
 ]
}

 The dataset includes 177 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023892-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17043/oden-artofmelt-2023-cloud-radar-1
title: Cloud radar data from expedition ARTofMELT, Arctic Ocean, 2023
DOI: 10.17043/oden-artofmelt-2023-micro-rain-radar-1
title: Processed micro rain radar data from expedition ARTofMELT, Arctic Ocean, 2023
DOI: 10.17043/oden-artofmelt-2023-surface-meteorology-ice-station-1
title: Ice station surface meteorology and radiation data from expedition ARTofMELT, Arctic Ocean, 2023
DOI: 10.17043/oden-artofmelt-2023-micrometeorology-ice-station-1
title: Ice station micrometeorological data from expedition ARTofMELT, Arctic Ocean, 2023
DOI: 10.5066/p9l6kml9
title: Principal facts of regional gravity data in the central Upper Peninsula, Michigan, 2022-2023

description: Gravity data were collected in 2022 and 2023 to assist in mapping surface and subsurface geology in the central Upper Peninsula of Michigan. This data release provides principal facts for 666 new gravity stations that were acquired to supplement existing public gravity data coverage.
DOI: 10.15468/dl.grcnmt
title: Occurrence Download

description: A dataset containing 13066 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Museo Entomológico Francisco Luis Gallego UNAL-MED"
 ]
}

 The dataset includes 13066 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023893-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k8d4xd
title: Occurrence Download

description: A dataset containing 101712640 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is iNaturalist Research-grade Observations"
 ]
}

 The dataset includes 101712640 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023885-241107131044228/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.24885609
title: <b>The Gendered Dimensions of Small-Scale Fishing Activities: A Case Study from Coastal Kenya</b>

description: This data supports an empirical research on the gendered dimensions of small-scale fishing activities on the South coast of Kenya. In this research, we applied a mixed method approach, combining an individual survey (n=141) and pebble games (n=35). The data originating from both methods are provided in this dataset, with their metadata. Results from our study indicate that women’s fishing practices are characterized by less fishing gear, less catch, a lower functional diversity of catches, less fishing effort, and less income than those of men but they contribute importantly to local diets, representing up to 50% of the fish and seafood consumed in female-headed households.
DOI: 10.15468/dl.mugqc9
title: Occurrence Download

description: A dataset containing 16972 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "OccurrenceStatus is Present",
 "TaxonKey is Gunnera tinctoria (Molina) Mirb."
 ]
}

 The dataset includes 16972 records from 83 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023894-241107131044228/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.25894666
title: Animal geographies: an international state of the field survey

description: The past 30 years have seen the steady development of the geographic subfield of animal geographies through an ongoing expansion of research methods, theoretical concepts, and topical and species focus. In 2021, we undertook the first international survey of the subfield with two goals: to survey practitioners about their work and to determine interest in establishing an international community. In this article we share the results of what 141 respondents from 24 countries self-reported in the areas of participant demographics, definitions of animal geographies, interest in an international community, and research as related to field sites, species, methods, and future themes. Our results indicate that a gap in intra and inter-cultural understandings of what constitutes animal geographies and a lack of an organized global structure are indeed potential limits to the subfield’s capacities to continue to grow; however, we found that a focus on capacity-building and cross-cultural facilitation could provide a pathway to more international diffusion of animal geographies-based research.