cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.qw8haa
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"TAXON_KEY","value":"3981193","matchCase":false},{"type":"equals","key":"OCCURRENCE_STATUS","value":"PRESENT","matchCase":false},{"type":"equals","key":"HAS_COORDINATE","value":"true","matchCase":false},{"type":"equals","key":"HAS_GEOSPATIAL_ISSUE","value":"false","matchCase":false},{"type":"lessThan","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"in","key":"YEAR","values":["2008","2009","2010","2011","2012","2013","2014","2015","2016","2017","2018","2019","2020","2021","2022","2023","2024"],"matchCase":false},{"type":"in","key":"BASIS_OF_RECORD","values":["LIVING_SPECIMEN","HUMAN OBSERVATION","OBSERVATION","OCCURRENCE","MACHINE_OBSERVATION"],"matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023859-241024112534372/datasets/export for details.
DOI: 10.15468/dl.bseexy
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"TAXON_KEY","value":"3981194","matchCase":false},{"type":"equals","key":"OCCURRENCE_STATUS","value":"PRESENT","matchCase":false},{"type":"equals","key":"HAS_COORDINATE","value":"true","matchCase":false},{"type":"equals","key":"HAS_GEOSPATIAL_ISSUE","value":"false","matchCase":false},{"type":"lessThan","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"in","key":"YEAR","values":["2008","2009","2010","2011","2012","2013","2014","2015","2016","2017","2018","2019","2020","2021","2022","2023","2024"],"matchCase":false},{"type":"in","key":"BASIS_OF_RECORD","values":["LIVING_SPECIMEN","HUMAN OBSERVATION","OBSERVATION","OCCURRENCE","MACHINE_OBSERVATION"],"matchCase":false}]}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023860-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14040031
title: ВЛИЯНИЕ МИКРОБНОЙ ПОПУЛЯЦИИ РОТОВОЙ ПОЛОСТИ НА УРОВЕНЬ ЗАЩИТЫ ПЕРЕД ЛИЦОМ ПАРОДОНТАЛЬНЫХ ВОСПАЛЕНИЙ У ПАЦИЕНТОВ С ЗАБОЛЕВАНИЯМИ ЖЕЛУДОЧНО-КИШЕЧНОГО ТРАКТА
DOI: 10.5281/zenodo.14040032
title: ВЛИЯНИЕ МИКРОБНОЙ ПОПУЛЯЦИИ РОТОВОЙ ПОЛОСТИ НА УРОВЕНЬ ЗАЩИТЫ ПЕРЕД ЛИЦОМ ПАРОДОНТАЛЬНЫХ ВОСПАЛЕНИЙ У ПАЦИЕНТОВ С ЗАБОЛЕВАНИЯМИ ЖЕЛУДОЧНО-КИШЕЧНОГО ТРАКТА
DOI: 10.5281/zenodo.14040033
title: balebreviceps_hillmani_spades_01.fasta.gz
DOI: 10.5281/zenodo.14040034
title: balebreviceps_hillmani_spades_01.fasta.gz
DOI: 10.5281/zenodo.14040005
title: Raw data for Heteroatomic Andreev molecule in a superconducting island-double quantum dot hybrid
DOI: 10.5281/zenodo.14040006
title: Raw data for Heteroatomic Andreev molecule in a superconducting island-double quantum dot hybrid
DOI: 10.5281/zenodo.14039448
title: Dataset: Insight in molecular degradation patterns and co-metabolism during rose waste co-composting

description: This dataset and these scripts supports the article 'Insight in molecular degradation patterns and co-metabolism during rose waste co-composting' as published in Biogeochemistry. https://doi.org/10.1007/s10533-023-01092-1

Roses are an important crop for the floricultural sector of Kenya and roses are a perennial crop and under continuous production for six to ten years. The cultivation produces large quantities of green waste, up to 50 kg per hectare per day. In this experiment we aimed to gain insight in the decomposition patterns underlying rose waste composting and to identify co-metabolisms of ligneous materials. Samples were taken during a six-month experiment and analyzed by pyrolysis-GC/MS (see manuscript for analytical details).
DOI: 10.5281/zenodo.14039447
title: Dataset: Insight in molecular degradation patterns and co-metabolism during rose waste co-composting

description: This dataset and these scripts supports the article 'Insight in molecular degradation patterns and co-metabolism during rose waste co-composting' as published in Biogeochemistry. https://doi.org/10.1007/s10533-023-01092-1

Roses are an important crop for the floricultural sector of Kenya and roses are a perennial crop and under continuous production for six to ten years. The cultivation produces large quantities of green waste, up to 50 kg per hectare per day. In this experiment we aimed to gain insight in the decomposition patterns underlying rose waste composting and to identify co-metabolisms of ligneous materials. Samples were taken during a six-month experiment and analyzed by pyrolysis-GC/MS (see manuscript for analytical details).
DOI: 10.5281/zenodo.14039496
title: Dataset: Co-composting to close the cycle of resources during rose cultivation in Kenya: An agronomic and pesticide residue assessment

description: This dataset and these scripts supports the article 'Co-composting to close the cycle of resources during rose cultivation in Kenya: An agronomic and pesticide residue assessment' as published in Cleaner Waste Systems. https://doi.org/10.1016/j.clwas.2024.100154

Roses are an important crop for the floricultural sector of Kenya and roses are a perennial crop and under continuous production for six to ten years. The cultivation produces large quantities of green waste, up to 50 kg per hectare per day. In this experiment we focused on exploring the potential of large-scale composting of rose waste in Kenyan rose cultivation. The objective of this study was to examine the potential of composting rose waste in this large-scale commercial setting with low operational costs, exploring its benefits and challenges.

In piles of 4000 kg green waste the evolution of three mixtures was closely monitored in terms of their physico-chemical parameters. Furthermore, the pesticide residue levels of mature rose waste were assessed.
DOI: 10.5281/zenodo.14039495
title: Dataset: Co-composting to close the cycle of resources during rose cultivation in Kenya: An agronomic and pesticide residue assessment

description: This dataset and these scripts supports the article 'Co-composting to close the cycle of resources during rose cultivation in Kenya: An agronomic and pesticide residue assessment' as published in Cleaner Waste Systems. https://doi.org/10.1016/j.clwas.2024.100154

Roses are an important crop for the floricultural sector of Kenya and roses are a perennial crop and under continuous production for six to ten years. The cultivation produces large quantities of green waste, up to 50 kg per hectare per day. In this experiment we focused on exploring the potential of large-scale composting of rose waste in Kenyan rose cultivation. The objective of this study was to examine the potential of composting rose waste in this large-scale commercial setting with low operational costs, exploring its benefits and challenges.

In piles of 4000 kg green waste the evolution of three mixtures was closely monitored in terms of their physico-chemical parameters. Furthermore, the pesticide residue levels of mature rose waste were assessed.
DOI: 10.5281/zenodo.14039529
title: Dataset: The impact of rose-waste compost on commercial cut rose cultivation in Kenya

description: This dataset and these scripts supports the manuscript 'From waste to fertilizer: The impact of rose-waste compost on commercial cut rose cultivation in Kenya' as submitted to Cleaner Waste Systems. 

Roses are an important crop for the floricultural sector of Kenya and roses are a perennial crop and under continuous production for six to ten years. The cultivation produces large quantities of green waste, up to 50 kg per hectare per day. In this experiment we evaluated the impact of compost amendment on the yield and quality of cut roses cultivation in a large-scale commercial setting with over 7,500 rose plants. It was conducted between August 2022 and February 2024 near Lake Naivasha in Kenya. Additionally we evaluated the potential of compost to partially substitute mineral fertilizer. Yields were recorded daily and cut rose quality and physicochemical soil parameters were assessed every three to six months to  comprehensively evaluate the impact of compost incorporation on cut rose production.
DOI: 10.5281/zenodo.14040044
title: Files
DOI: 10.5281/zenodo.14039373
title: Dataset: Co-composting rose waste as a sustainable waste management strategy: Nutrient availability and disease control

description: This dataset and these scripts supports the article 'Assessing the potential of co-composting rose waste as a sustainable waste management strategy: Nutrient availability and disease control' as published in Journal of Cleaner production. https://doi.org/10.1016/j.jclepro.2023.136685

Roses are an important crop for the floricultural sector of Kenya and roses are a perennial crop and under continuous production for six to ten years. The cultivation produces large quantities of green waste, up to 50 kg per hectare per day. In this experiment we investigated the potential of co-composting rose waste on a small scale. The objective was to increase the understanding of composting lignocellulosic rose waste, which will help with the implementation of composting practices within Kenyan rose production and thereby reduce its negative ecological impact.

In a small-scale composting system (30L) the evolution of five mixtures was closely monitored in terms of their physico-chemical parameters. Furthermore, the in-vitro disease suppressive capacity of mature rose waste was assessed.
DOI: 10.5281/zenodo.14039372
title: Dataset: Co-composting rose waste as a sustainable waste management strategy: Nutrient availability and disease control

description: This dataset and these scripts supports the article 'Assessing the potential of co-composting rose waste as a sustainable waste management strategy: Nutrient availability and disease control' as published in Journal of Cleaner production. https://doi.org/10.1016/j.jclepro.2023.136685

Roses are an important crop for the floricultural sector of Kenya and roses are a perennial crop and under continuous production for six to ten years. The cultivation produces large quantities of green waste, up to 50 kg per hectare per day. In this experiment we investigated the potential of co-composting rose waste on a small scale. The objective was to increase the understanding of composting lignocellulosic rose waste, which will help with the implementation of composting practices within Kenyan rose production and thereby reduce its negative ecological impact.

In a small-scale composting system (30L) the evolution of five mixtures was closely monitored in terms of their physico-chemical parameters. Furthermore, the in-vitro disease suppressive capacity of mature rose waste was assessed.
DOI: 10.15468/dl.e9x5jw
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"TAXON_KEY","value":"3981195","matchCase":false},{"type":"equals","key":"OCCURRENCE_STATUS","value":"PRESENT","matchCase":false},{"type":"equals","key":"HAS_COORDINATE","value":"true","matchCase":false},{"type":"equals","key":"HAS_GEOSPATIAL_ISSUE","value":"false","matchCase":false},{"type":"lessThan","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"in","key":"YEAR","values":["2008","2009","2010","2011","2012","2013","2014","2015","2016","2017","2018","2019","2020","2021","2022","2023","2024"],"matchCase":false},{"type":"in","key":"BASIS_OF_RECORD","values":["LIVING_SPECIMEN","HUMAN OBSERVATION","OBSERVATION","OCCURRENCE","MACHINE_OBSERVATION"],"matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023861-241024112534372/datasets/export for details.
DOI: 10.15468/dl.2ebzrb
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"TAXON_KEY","value":"3981201","matchCase":false},{"type":"equals","key":"OCCURRENCE_STATUS","value":"PRESENT","matchCase":false},{"type":"equals","key":"HAS_COORDINATE","value":"true","matchCase":false},{"type":"equals","key":"HAS_GEOSPATIAL_ISSUE","value":"false","matchCase":false},{"type":"lessThan","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"in","key":"YEAR","values":["2008","2009","2010","2011","2012","2013","2014","2015","2016","2017","2018","2019","2020","2021","2022","2023","2024"],"matchCase":false},{"type":"in","key":"BASIS_OF_RECORD","values":["LIVING_SPECIMEN","HUMAN OBSERVATION","OBSERVATION","OCCURRENCE","MACHINE_OBSERVATION"],"matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023862-241024112534372/datasets/export for details.
DOI: 10.15468/dl.63cak4
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"TAXON_KEY","value":"3981207","matchCase":false},{"type":"equals","key":"OCCURRENCE_STATUS","value":"PRESENT","matchCase":false},{"type":"equals","key":"HAS_COORDINATE","value":"true","matchCase":false},{"type":"equals","key":"HAS_GEOSPATIAL_ISSUE","value":"false","matchCase":false},{"type":"lessThan","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"in","key":"YEAR","values":["2008","2009","2010","2011","2012","2013","2014","2015","2016","2017","2018","2019","2020","2021","2022","2023","2024"],"matchCase":false},{"type":"in","key":"BASIS_OF_RECORD","values":["LIVING_SPECIMEN","HUMAN OBSERVATION","OBSERVATION","OCCURRENCE","MACHINE_OBSERVATION"],"matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023863-241024112534372/datasets/export for details.
DOI: 10.15468/dl.6x8xtz
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"TAXON_KEY","value":"3981215","matchCase":false},{"type":"equals","key":"OCCURRENCE_STATUS","value":"PRESENT","matchCase":false},{"type":"equals","key":"HAS_COORDINATE","value":"true","matchCase":false},{"type":"equals","key":"HAS_GEOSPATIAL_ISSUE","value":"false","matchCase":false},{"type":"lessThan","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"in","key":"YEAR","values":["2008","2009","2010","2011","2012","2013","2014","2015","2016","2017","2018","2019","2020","2021","2022","2023","2024"],"matchCase":false},{"type":"in","key":"BASIS_OF_RECORD","values":["LIVING_SPECIMEN","HUMAN OBSERVATION","OBSERVATION","OCCURRENCE","MACHINE_OBSERVATION"],"matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023864-241024112534372/datasets/export for details.
DOI: 10.3886/e209361v1
title: ECIN Replication Package for "Dynamic Norms and Organ Donation"

description: We conduct three experiments with over 1600 subjects to examine the impact of dynamic norms on organ donation. We find that dynamic norms (low-prevalence behaviors framed as increasing in popularity over time) significantly increase organ donor registration, and that this effect is mainly driven by dynamic trends (prevalence of behaviors with a growth trend). The positive effect of dynamic trends on organ donor registration is better than that of combined norms (low-descriptive but high-injunctive behaviors). The underlying mechanism may be future norm perceptions and moral emotions (elevation). Our paper presents a novel and effective strategy to increase organ donation.
DOI: 10.3886/e209361v2
title: ECIN Replication Package for "Dynamic Norms and Organ Donation"

description: We conduct three experiments with over 1600 subjects to examine the impact of dynamic norms on organ donation. We find that dynamic norms (low-prevalence behaviors framed as increasing in popularity over time) significantly increase organ donor registration, and that this effect is mainly driven by dynamic trends (prevalence of behaviors with a growth trend). The positive effect of dynamic trends on organ donor registration is better than that of combined norms (low-descriptive but high-injunctive behaviors). The underlying mechanism may be future norm perceptions and moral emotions (elevation). Our paper presents a novel and effective strategy to increase organ donation.
DOI: 10.3886/e209361v3
title: ECIN Replication Package for "Dynamic Norms and Organ Donation"

description: We conduct three experiments with over 1600 subjects to examine the impact of dynamic norms on organ donation. We find that dynamic norms (low-prevalence behaviors framed as increasing in popularity over time) significantly increase organ donor registration, and that this effect is mainly driven by dynamic trends (prevalence of behaviors with a growth trend). The positive effect of dynamic trends on organ donor registration is better than that of combined norms (low-descriptive but high-injunctive behaviors). The underlying mechanism may be future norm perceptions and moral emotions (elevation). Our paper presents a novel and effective strategy to increase organ donation.
DOI: 10.3886/e209361
title: ECIN Replication Package for "Dynamic Norms and Organ Donation"

description: We conduct three experiments with over 1600 subjects to examine the impact of dynamic norms on organ donation. We find that dynamic norms (low-prevalence behaviors framed as increasing in popularity over time) significantly increase organ donor registration, and that this effect is mainly driven by dynamic trends (prevalence of behaviors with a growth trend). The positive effect of dynamic trends on organ donor registration is better than that of combined norms (low-descriptive but high-injunctive behaviors). The underlying mechanism may be future norm perceptions and moral emotions (elevation). Our paper presents a novel and effective strategy to increase organ donation.
DOI: 10.3886/e209361v4
title: ECIN Replication Package for "Dynamic Norms and Organ Donation"

description: We conduct three experiments with over 1600 subjects to examine the impact of dynamic norms on organ donation. We find that dynamic norms (low-prevalence behaviors framed as increasing in popularity over time) significantly increase organ donor registration, and that this effect is mainly driven by dynamic trends (prevalence of behaviors with a growth trend). The positive effect of dynamic trends on organ donor registration is better than that of combined norms (low-descriptive but high-injunctive behaviors). The underlying mechanism may be future norm perceptions and moral emotions (elevation). Our paper presents a novel and effective strategy to increase organ donation.
DOI: 10.15468/dl.urd2w2
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"TAXON_KEY","value":"3981216","matchCase":false},{"type":"equals","key":"OCCURRENCE_STATUS","value":"PRESENT","matchCase":false},{"type":"equals","key":"HAS_COORDINATE","value":"true","matchCase":false},{"type":"equals","key":"HAS_GEOSPATIAL_ISSUE","value":"false","matchCase":false},{"type":"lessThan","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"in","key":"YEAR","values":["2008","2009","2010","2011","2012","2013","2014","2015","2016","2017","2018","2019","2020","2021","2022","2023","2024"],"matchCase":false},{"type":"in","key":"BASIS_OF_RECORD","values":["LIVING_SPECIMEN","HUMAN OBSERVATION","OBSERVATION","OCCURRENCE","MACHINE_OBSERVATION"],"matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023866-241024112534372/datasets/export for details.
DOI: 10.15468/dl.rquha4
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"TAXON_KEY","value":"3981224","matchCase":false},{"type":"equals","key":"OCCURRENCE_STATUS","value":"PRESENT","matchCase":false},{"type":"equals","key":"HAS_COORDINATE","value":"true","matchCase":false},{"type":"equals","key":"HAS_GEOSPATIAL_ISSUE","value":"false","matchCase":false},{"type":"lessThan","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"in","key":"YEAR","values":["2008","2009","2010","2011","2012","2013","2014","2015","2016","2017","2018","2019","2020","2021","2022","2023","2024"],"matchCase":false},{"type":"in","key":"BASIS_OF_RECORD","values":["LIVING_SPECIMEN","HUMAN OBSERVATION","OBSERVATION","OCCURRENCE","MACHINE_OBSERVATION"],"matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023867-241024112534372/datasets/export for details.
DOI: 10.15468/dl.m95cff
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"TAXON_KEY","value":"3981226","matchCase":false},{"type":"equals","key":"OCCURRENCE_STATUS","value":"PRESENT","matchCase":false},{"type":"equals","key":"HAS_COORDINATE","value":"true","matchCase":false},{"type":"equals","key":"HAS_GEOSPATIAL_ISSUE","value":"false","matchCase":false},{"type":"lessThan","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"in","key":"YEAR","values":["2008","2009","2010","2011","2012","2013","2014","2015","2016","2017","2018","2019","2020","2021","2022","2023","2024"],"matchCase":false},{"type":"in","key":"BASIS_OF_RECORD","values":["LIVING_SPECIMEN","HUMAN OBSERVATION","OBSERVATION","OCCURRENCE","MACHINE_OBSERVATION"],"matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023868-241024112534372/datasets/export for details.
DOI: 10.15468/dl.q58jsc
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"TAXON_KEY","value":"3981232","matchCase":false},{"type":"equals","key":"OCCURRENCE_STATUS","value":"PRESENT","matchCase":false},{"type":"equals","key":"HAS_COORDINATE","value":"true","matchCase":false},{"type":"equals","key":"HAS_GEOSPATIAL_ISSUE","value":"false","matchCase":false},{"type":"lessThan","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"in","key":"YEAR","values":["2008","2009","2010","2011","2012","2013","2014","2015","2016","2017","2018","2019","2020","2021","2022","2023","2024"],"matchCase":false},{"type":"in","key":"BASIS_OF_RECORD","values":["LIVING_SPECIMEN","HUMAN OBSERVATION","OBSERVATION","OCCURRENCE","MACHINE_OBSERVATION"],"matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023869-241024112534372/datasets/export for details.
DOI: 10.48597/5sa9-5p5e
title: Inorganics in precipitation at Bredkälen

description: Measurement of Inorganics in precipitation at Bredkälen
DOI: 10.48597/9ydk-fs5t
title: Inorganics in precipitation at Bredkälen

description: Measurement of Inorganics in precipitation at Bredkälen
DOI: 10.48597/a7kj-3evw
title: Sulphate_corrected at Bredkälen

description: Measurement of Sulphate_corrected at Bredkälen
DOI: 10.48597/jnya-88fa
title: Inorganics in precipitation at Bredkälen

description: Measurement of Inorganics in precipitation at Bredkälen
DOI: 10.48597/jz2v-9qmt
title: Inorganics in precipitation at Bredkälen

description: Measurement of Inorganics in precipitation at Bredkälen