cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.23629978
title: An innovative application of double slider-crank mechanism in efficient of the scanning acoustic microscopy system

description: This paper proposes an innovative application of double slider-crank mechanism, which is utilized to develop a fast scanning module (FSM) of the scanning acoustic microscopy (SAM) system for evaluating the quality of 12-inch silicon wafer, that is, WFSAM system. In this application, the slider displacement and velocity are two critical parameters that must be carefully calculated to ensure the WFSAM system operates properly. Based on the scanning requirements, the slider displacement and velocity were calculated to determine the operation parameters of WFSAM system. A custom sample with known dimensions was prepared to scan using WFSAM system, which validated the WFSAM capabilities in order to provide internal information with accurate measurement. The quality of two 12-inch silicon wafers was evaluated using the WFSAM system. Finally, the design process of slider-crank mechanism is illustrated by a flowchart, which is used to develop the FSM of SAM system for inspecting any sample size.
DOI: 10.48597/4dwk-hev6
title: Heavy metals at Campisabalos

description: Measurement of Heavy metals at Campisabalos
DOI: 10.48597/vsb8-vzd3
title: Measurement of Heavy metals at Campisabalos

description: Measurement of Heavy metals at Campisabalos
DOI: 10.48597/egqc-mjq8
title: Measurement of Heavy metals at Niembro

description: Measurement of Heavy metals at Niembro
DOI: 10.48597/pua3-f7fs
title: Heavy metals at Niembro

description: Measurement of Heavy metals at Niembro
DOI: 10.48597/brjy-qnz9
title: Mercury at Niembro

description: Measurement of Mercury at Niembro
DOI: 10.48597/bt7q-h5n8
title: Precipitation_amount at Niembro

description: Measurement of Precipitation_amount at Niembro
DOI: 10.48597/u34a-b4ry
title: Measurement of Mercury at Niembro

description: Measurement of Mercury at Niembro
DOI: 10.48597/yj2a-u3ch
title: Measurement of Precipitation_amount at Niembro

description: Measurement of Precipitation_amount at Niembro
DOI: 10.48597/89th-2ebk
title: Measurement of Precipitation_amount at Niembro

description: Measurement of Precipitation_amount at Niembro
DOI: 10.48597/f2xt-jp69
title: Precipitation_amount at Niembro

description: Measurement of Precipitation_amount at Niembro
DOI: 10.48597/czu3-7asu
title: Precipitation_amount at Campisabalos

description: Measurement of Precipitation_amount at Campisabalos
DOI: 10.48597/95j9-4jmx
title: Measurement of Precipitation_amount at Campisabalos

description: Measurement of Precipitation_amount at Campisabalos
DOI: 10.48597/zp9q-3ytt
title: Mercury at Niembro

description: Measurement of Mercury at Niembro
DOI: 10.48597/aqj7-zdya
title: Measurement of Mercury at Niembro

description: Measurement of Mercury at Niembro
DOI: 10.48597/pv6e-vy9c
title: Measurement of Mercury at Niembro

description: Measurement of Mercury at Niembro
DOI: 10.5281/zenodo.12547969
title: Survey data on behaviours and attitudes towards green food consumption of participants of the SmartFood Urban Living Lab in Warsaw, Poland

description: In this dataset, we present raw data of a survey on behaviours and attitudes towards green food consumption, conducted between June 2023 and April 2024 among a group of 21 households from Warsaw, participating in a SmartFood Urban Living Lab (ULL). The dataset is complemented with results collected from two control groups. The SmartFood Urban Living Lab was an intervention aimed at providing residents of urban blocks of flats with a novel technology for growing their own food. The ULL served as an experimental ground for testing and refining innovations such as hydroponic cabins, rainwater management systems, solar energy systems, and insect farming units. Residents actively participated in the lab, providing valuable insights into the practical challenges and benefits of urban farming, which helped refine and adapt the technologies for broader application. After each month of the intervention, a survey was conducted to check participants' behaviours and attitudes towards green food consumption
description: The dataset was developed under the framework of the project entitled "SmartFood: Engaging citizens in food diversity in cities". 

SmartFood has received funding from the Norway Grants 2014-2021 and the state budget of Poland via the National Centre for Research and Development within "Applied Research" Programme. The project benefits from a grant of € 1,364,249.99 from Norway as well as a grant of € 240,750.00 from the state budget of Poland. The total project value is € 1,604,999.99.

The aim of the project was to provide a novel evidence-based socio-technological framework of sustainable food production and consumption towards the sustainable smart city of the future.
DOI: 10.5281/zenodo.12547970
title: Survey data on behaviours and attitudes towards green food consumption of participants of the SmartFood Urban Living Lab in Warsaw, Poland

description: In this dataset, we present raw data of a survey on behaviours and attitudes towards green food consumption, conducted between June 2023 and April 2024 among a group of 21 households from Warsaw, participating in a SmartFood Urban Living Lab (ULL). The dataset is complemented with results collected from two control groups. The SmartFood Urban Living Lab was an intervention aimed at providing residents of urban blocks of flats with a novel technology for growing their own food. The ULL served as an experimental ground for testing and refining innovations such as hydroponic cabins, rainwater management systems, solar energy systems, and insect farming units. Residents actively participated in the lab, providing valuable insights into the practical challenges and benefits of urban farming, which helped refine and adapt the technologies for broader application. After each month of the intervention, a survey was conducted to check participants' behaviours and attitudes towards green food consumption
description: The dataset was developed under the framework of the project entitled "SmartFood: Engaging citizens in food diversity in cities". 

SmartFood has received funding from the Norway Grants 2014-2021 and the state budget of Poland via the National Centre for Research and Development within "Applied Research" Programme. The project benefits from a grant of € 1,364,249.99 from Norway as well as a grant of € 240,750.00 from the state budget of Poland. The total project value is € 1,604,999.99.

The aim of the project was to provide a novel evidence-based socio-technological framework of sustainable food production and consumption towards the sustainable smart city of the future.
DOI: 10.5281/zenodo.7565767
title: gitti1/ENLIGHT_OS: ENLIGHT Open Science Survey Datasets and Code

description: Archival copy of the Open Science survey datasets and processing code in the context of the ENLIGHT university alliance. ENLIGHT RISE collected data from its nine partner universities: Information on research data management (RDM) policies, support services and other activities was collected in November 2021. Information on Open Science (OS) activities, infrastructure and support, skills and knowledge, community activities, policy, recognition and rewards, and environment was collected from 11 December 2021 until 31 January 2022. The related report is available: Schmidt, B., Rettberg, N., Schatz, M., van Ittersum-Leegte, M., Schwamm, H., van Nieuwerburgh, I., Lembinen, L., Laučíková, R., Bennett, C., Lagvik, C., Sagaminaga, A., & Piñeiro Fernández, M. (2022). D7.1 ENLIGHT Open Science Status Quo & Opportunities (Version v0.3). Zenodo. https://doi.org/10.5281/ZENODO.7092120
DOI: 10.5281/zenodo.12548331
title: Data for: Pine trees structure plant biodiversity patterns in savannas

description: Overstory trees serve multiple functions in grassy savannas. Past research has shown that large pine canopy openings harbor greater plant species richness and different species composition. However, these studies did not examine such patterns at the scale of individual trees. We examined the relationship between understory plant communities and proximity to individual pine trees in dry and mesic pine savannas in frequently burned (1-3 year intervals) and long unburned (>30 years since fire) sites in north central Florida. We recorded the presence and abundance (stem or ramet number) of plant species in 1 m x 1 m plots adjacent to tree boles (basal) or outside crown driplines (open). In addition, we quantified environmental variables, including light transmittance and percent cover of litter, bare ground, and fuel loading classes.
DOI: 10.5281/zenodo.10903185
title: Data for: Pine trees structure plant biodiversity patterns in savannas

description: Overstory trees serve multiple functions in grassy savannas. Past research has shown that large pine canopy openings harbor greater plant species richness and different species composition. However, these studies did not examine such patterns at the scale of individual trees. We examined the relationship between understory plant communities and proximity to individual pine trees in dry and mesic pine savannas in frequently burned (1-3 year intervals) and long unburned (>30 years since fire) sites in north central Florida. We recorded the presence and abundance (stem or ramet number) of plant species in 1 m x 1 m plots adjacent to tree boles (basal) or outside crown driplines (open). In addition, we quantified environmental variables, including light transmittance and percent cover of litter, bare ground, and fuel loading classes.
DOI: 10.5281/zenodo.10161537
title: Data for: Pine trees structure plant biodiversity patterns in savannas

description: Overstory trees serve multiple functions in grassy savannas. Past research has shown that large pine canopy openings harbor greater plant species richness and different species composition. However, these studies did not examine such patterns at the scale of individual trees. We examined the relationship between understory plant communities and proximity to individual pine trees in dry and mesic pine savannas in frequently burned (1-3 year intervals) and long unburned (>30 years since fire) sites in north central Florida. We recorded the presence and abundance (stem or ramet number) of plant species in 1 m x 1 m plots adjacent to tree boles (basal) or outside crown driplines (open). In addition, we quantified environmental variables, including light transmittance and percent cover of litter, bare ground, and fuel loading classes.
DOI: 10.5281/zenodo.10161538
title: Data for: Pine trees structure plant biodiversity patterns in savannas

description: Overstory trees serve multiple functions in grassy savannas. Past research has shown that large pine canopy openings harbor greater plant species richness and different species composition. However, these studies did not examine such patterns at the scale of individual trees. We examined the relationship between understory plant communities and proximity to individual pine trees in dry and mesic pine savannas in frequently burned (1-3 year intervals) and long unburned (>30 years since fire) sites in north central Florida. We recorded the presence and abundance (stem or ramet number) of plant species in 1 m x 1 m plots adjacent to tree boles (basal) or outside crown driplines (open). In addition, we quantified environmental variables, including light transmittance and percent cover of litter, bare ground, and fuel loading classes.
DOI: 10.5281/zenodo.12548076
title: Assessment of Fair Trade education programs in France: high school data (2019-2022)

description: see the technical report (period 2019-2021) on researchgate:

(PDF) Evaluation of the fair-trade education programs. Results of the first phase of the Fair Future program (researchgate.net)
DOI: 10.5281/zenodo.12548077
title: Assessment of Fair Trade education programs in France: high school data (2019-2022)

description: see the technical report (period 2019-2021) on researchgate:

(PDF) Evaluation of the fair-trade education programs. Results of the first phase of the Fair Future program (researchgate.net)
DOI: 10.15468/dl.px7ww9
title: Occurrence Download

description: A dataset containing 3305 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "TaxonKey is Myracrodruon urundeuva Allemão"
 ]
}

 The dataset includes 3305 records from 164 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000103-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zbuq2v
title: Occurrence Download

description: A dataset containing 243886 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is United States of America",
 "Geometry POLYGON((-180 -90,-95 -90,-95 90,-180 90,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Lepidoptera",
 "Year 2021-2021"
 ]
}

 The dataset includes 243886 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000083-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yxgcs8
title: Occurrence Download

description: A dataset containing 146 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is Malaysia",
 "TaxonKey is Echinosorex gymnura (Raffles, 1822)"
 ]
}

 The dataset includes 146 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000104-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.12547954
title: BRAIN - Cidades prioritárias para o controle das emissões atmosféricas no Estado de Santa Catarina - Brasil em 2020

description: Esta base de dados contem arquivos em formato .csv com as estatísticas de número de violações dos padrões de qualidade do ar, número de pixels críticos, redução das emissões necessária e fontes majoritárias para cada Padrão de Qualidade do Ar da CONAMA 491/2018. Os arquivos também possuem os códigos IBGE e as geometrias das cidades para uso no QGIS ou Python.  Você poderá encontrar as seguintes informações por cidades de SC:

CD_MUN    =  código IBGE do município

NM_MUN    =  nome do município

SIGLA_UF    =  sigla do estado

AREA_KM2    =  área do município em km²

CriticalPixels_[PadrãoDeQualidadeDoAr]    = número de pixels que violaram o determinado [PadrãoDeQualidadeDoAr]

CriticalEvents_[PadrãoDeQualidadeDoAr]  = número de eventos que violaram o determinado [PadrãoDeQualidadeDoAr]     

MeanEf_[PadrãoDeQualidadeDoAr]    =  redução média das emissões nos pixels críticos para o atendimento do determinado [PadrãoDeQualidadeDoAr]   

MinEf_[PadrãoDeQualidadeDoAr]     =  redução mínima das emissões nos pixels críticos para o atendimento do determinado [PadrãoDeQualidadeDoAr]     

MaxEf_[PadrãoDeQualidadeDoAr]     =  redução máxima das emissões nos pixels críticos para o atendimento do determinado [PadrãoDeQualidadeDoAr]     

MeanEmis_[PadrãoDeQualidadeDoAr]    =  emissão média nos pixels críticos para o determinado [PadrãoDeQualidadeDoAr]      

MinEmis_[PadrãoDeQualidadeDoAr]    =  emissão mínima nos pixels críticos para o determinado [PadrãoDeQualidadeDoAr] 

MaxEmis_[PadrãoDeQualidadeDoAr]   =  emissão máxima nos pixels críticos para o determinado [PadrãoDeQualidadeDoAr]

MajorAveVehicular_[PadrãoDeQualidadeDoAr]   = número de pixels críticos onde as fontes veiculares são em média as maiores emissoras    

MajorAveFire_[PadrãoDeQualidadeDoAr]     = número de pixels críticos onde as queimadas são em média as maiores emissoras    

MajorAveIndustrial_[PadrãoDeQualidadeDoAr]   = número de pixels críticos onde as fontes industriais são em média as maiores emissoras    

MajorAveBiogenic_[PadrãoDeQualidadeDoAr]     = número de pixels críticos onde as fontes biogênicas são em média as maiores emissoras    

MajorMaxVehicular_[PadrãoDeQualidadeDoAr]   = número de pixels críticos onde as fontes veiculares são em as maiores emissoras em eventos isolados       

MajorMaxFire_[PadrãoDeQualidadeDoAr]  = número de pixels críticos onde as queimadas são em as maiores emissoras em eventos isolados              

MajorMaxIndustrial_[PadrãoDeQualidadeDoAr]  = número de pixels críticos onde as fontes insdustriais são em as maiores emissoras em eventos isolados        

MajorMaxBiogenic_[PadrãoDeQualidadeDoAr]   = número de pixels críticos onde as fontes biogênicas são em as maiores emissoras em eventos isolados          

geometry = geometria do poligono da cidade para uso no QGIS ou Python

 

Este projeto foi financiado pela FAPESC (2018TR499) em parceria com a Secretaria de Desenvolvimento Econômico e Instituto de Meio Ambiente do Estado de Santa Catarina.
DOI: 10.5281/zenodo.12547955
title: BRAIN - Cidades prioritárias para o controle das emissões atmosféricas no Estado de Santa Catarina - Brasil em 2020

description: Esta base de dados contem arquivos em formato .csv com as estatísticas de número de violações dos padrões de qualidade do ar, número de pixels críticos, redução das emissões necessária e fontes majoritárias para cada Padrão de Qualidade do Ar da CONAMA 491/2018. Os arquivos também possuem os códigos IBGE e as geometrias das cidades para uso no QGIS ou Python.  Você poderá encontrar as seguintes informações por cidades de SC:

CD_MUN    =  código IBGE do município

NM_MUN    =  nome do município

SIGLA_UF    =  sigla do estado

AREA_KM2    =  área do município em km²

CriticalPixels_[PadrãoDeQualidadeDoAr]    = número de pixels que violaram o determinado [PadrãoDeQualidadeDoAr]

CriticalEvents_[PadrãoDeQualidadeDoAr]  = número de eventos que violaram o determinado [PadrãoDeQualidadeDoAr]     

MeanEf_[PadrãoDeQualidadeDoAr]    =  redução média das emissões nos pixels críticos para o atendimento do determinado [PadrãoDeQualidadeDoAr]   

MinEf_[PadrãoDeQualidadeDoAr]     =  redução mínima das emissões nos pixels críticos para o atendimento do determinado [PadrãoDeQualidadeDoAr]     

MaxEf_[PadrãoDeQualidadeDoAr]     =  redução máxima das emissões nos pixels críticos para o atendimento do determinado [PadrãoDeQualidadeDoAr]     

MeanEmis_[PadrãoDeQualidadeDoAr]    =  emissão média nos pixels críticos para o determinado [PadrãoDeQualidadeDoAr]      

MinEmis_[PadrãoDeQualidadeDoAr]    =  emissão mínima nos pixels críticos para o determinado [PadrãoDeQualidadeDoAr] 

MaxEmis_[PadrãoDeQualidadeDoAr]   =  emissão máxima nos pixels críticos para o determinado [PadrãoDeQualidadeDoAr]

MajorAveVehicular_[PadrãoDeQualidadeDoAr]   = número de pixels críticos onde as fontes veiculares são em média as maiores emissoras    

MajorAveFire_[PadrãoDeQualidadeDoAr]     = número de pixels críticos onde as queimadas são em média as maiores emissoras    

MajorAveIndustrial_[PadrãoDeQualidadeDoAr]   = número de pixels críticos onde as fontes industriais são em média as maiores emissoras    

MajorAveBiogenic_[PadrãoDeQualidadeDoAr]     = número de pixels críticos onde as fontes biogênicas são em média as maiores emissoras    

MajorMaxVehicular_[PadrãoDeQualidadeDoAr]   = número de pixels críticos onde as fontes veiculares são em as maiores emissoras em eventos isolados       

MajorMaxFire_[PadrãoDeQualidadeDoAr]  = número de pixels críticos onde as queimadas são em as maiores emissoras em eventos isolados              

MajorMaxIndustrial_[PadrãoDeQualidadeDoAr]  = número de pixels críticos onde as fontes insdustriais são em as maiores emissoras em eventos isolados        

MajorMaxBiogenic_[PadrãoDeQualidadeDoAr]   = número de pixels críticos onde as fontes biogênicas são em as maiores emissoras em eventos isolados          

geometry = geometria do poligono da cidade para uso no QGIS ou Python

 

Este projeto foi financiado pela FAPESC (2018TR499) em parceria com a Secretaria de Desenvolvimento Econômico e Instituto de Meio Ambiente do Estado de Santa Catarina.
DOI: 10.3535/99f-d6e-5a8
title: Adenophora khasiana (Hook.f. & Thomson) Collett & Hemsl.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/sxg-wk9-4xw
title: Carex pilulifera L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.15468/dl.7bweyf
title: Occurrence Download

description: A dataset containing 439 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Salvia urica Epling"
 ]
}

 The dataset includes 439 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004065-240202131308920/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/gvy-274-l4t
title: Adenophora rupincola Hemsl.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.15468/dl.mk5cpz
title: Occurrence Download

description: A dataset containing 3481 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Salvia mexicana L."
 ]
}

 The dataset includes 3481 records from 110 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004062-240202131308920/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qm6pht
title: Occurrence Download

description: A dataset containing 35 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Salvia balaustina Pohl"
 ]
}

 The dataset includes 35 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004064-240202131308920/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yyd94v
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Serinus serinus)",
 "Country is one of (Bermuda, Canada, Greenland, Saint Pierre and Miquelon, United States of America)"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0066383-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/ekz-xqw-atx
title: Paspalum stellatum Flüggé

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/wlb-519-lkb
title: Paspalum trachycoleon Steud.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.15468/dl.2k9c5f
title: Occurrence Download

description: A dataset containing 340 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rovaeanthus strigosus (Benth.) Borhidi"
 ]
}

 The dataset includes 340 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004038-240202131308920/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.96anax
title: Occurrence Download

description: A dataset containing 40 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Reldia grandiflora L.P.Kvist & L.E.Skog"
 ]
}

 The dataset includes 40 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000674-240202131308920/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.