cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.10407847
title: Dataset on Scenarios for Urban Emissions and LUE with Increments of Global Warming

description: This dataset supports the original research article on “Framework for comparing urban emissions and land use efficiency scenarios to avoid increments of global warming” (Kılkış, forthcoming). A total of 28 datasheets are involved in this dataset that is organised into four main domains as follows: 



The first domain with 3 datasheets contains urban emissions data for three urban emissions scenarios (SSP1-1.9, SSP1-2.6, and SSP1-RE) on an annual basis. The data is summed to obtain cumulative urban emissions between 2020 and 2050 per urban area for 465 urban areas.

The second domain with 9 datasheets provides the quantification of the original parameter on contributions to increments of global warming based on cumulative urban emissions data for three urban emissions scenarios (SSP1-1.9, SSP1-2.6, and SSP1-RE) between 2020 and 2050. The best estimate of the transient climate response to cumulative carbon dioxide (CO2) emissions (TCRE) and its 5-95th percentile range are considered within the quantifications of this analysis.

The third domain with 4 datasheets has the annual CO2 sequestration penalties of four land use efficiency scenarios (LUE 5%, LUE 15%, LUE Av, and LUE Best). Data is summed for cumulative CO2 sequestration penalties between 2020 and 2050 per urban area for 135 urban areas.

The fourth domain with 12 datasheets contains the quantification of the original parameter on contributions to increments of global warming based on CO2 sequestration penalties for four land use efficiency scenarios (LUE 5%, LUE 15%, LUE Av, and LUE Best) between 2020 and 2050. The analysis is based on the best estimate of TCRE as well as its 5-95th percentile range.


The data structure is described in the information sheet and the 28 datasheets contain 292,100 cells in total. The method and results that utilise the data are described in the original article submitted to Energy. The dataset of this research article should be cited as: Kılkış (2023), Dataset on Scenarios for Urban Emissions and LUE with Increments of Global Warming (v1.0.0). Zenodo. https://doi.org/10.5281/zenodo.10407848
DOI: 10.5281/zenodo.10407848
title: Dataset on Scenarios for Urban Emissions and LUE with Increments of Global Warming

description: This dataset supports the original research article on “Framework for comparing urban emissions and land use efficiency scenarios to avoid increments of global warming” (Kılkış, forthcoming). A total of 28 datasheets are involved in this dataset that is organised into four main domains as follows: 



The first domain with 3 datasheets contains urban emissions data for three urban emissions scenarios (SSP1-1.9, SSP1-2.6, and SSP1-RE) on an annual basis. The data is summed to obtain cumulative urban emissions between 2020 and 2050 per urban area for 465 urban areas.

The second domain with 9 datasheets provides the quantification of the original parameter on contributions to increments of global warming based on cumulative urban emissions data for three urban emissions scenarios (SSP1-1.9, SSP1-2.6, and SSP1-RE) between 2020 and 2050. The best estimate of the transient climate response to cumulative carbon dioxide (CO2) emissions (TCRE) and its 5-95th percentile range are considered within the quantifications of this analysis.

The third domain with 4 datasheets has the annual CO2 sequestration penalties of four land use efficiency scenarios (LUE 5%, LUE 15%, LUE Av, and LUE Best). Data is summed for cumulative CO2 sequestration penalties between 2020 and 2050 per urban area for 135 urban areas.

The fourth domain with 12 datasheets contains the quantification of the original parameter on contributions to increments of global warming based on CO2 sequestration penalties for four land use efficiency scenarios (LUE 5%, LUE 15%, LUE Av, and LUE Best) between 2020 and 2050. The analysis is based on the best estimate of TCRE as well as its 5-95th percentile range.


The data structure is described in the information sheet and the 28 datasheets contain 292,100 cells in total. The method and results that utilise the data are described in the original article submitted to Energy. The dataset of this research article should be cited as: Kılkış (2023), Dataset on Scenarios for Urban Emissions and LUE with Increments of Global Warming (v1.0.0). Zenodo. https://doi.org/10.5281/zenodo.10407848
DOI: 10.5281/zenodo.10407896
title: DNA_test_129_Preprocessing_using_native
DOI: 10.5281/zenodo.10407897
title: DNA_test_129_Preprocessing_using_native
DOI: 10.7924/r4gx4hk7f
title: Data from: Understanding Factors Associated with Misophonia (Misophonia Phenotyping - Phase 1)

description: Full data set from Phase 1 of the Phenotyping misophonia study. It includes psychiatric disorders and medical health correlates and participant self-report.
DOI: 10.5281/zenodo.10407926
title: Precipitacions Diàries 2009-2023 Catalunya
DOI: 10.5281/zenodo.10407927
title: Precipitacions Diàries 2009-2023 Catalunya
DOI: 10.5281/zenodo.10407934
title: Estat dels embassaments de les conques internes 2000 - 2023
DOI: 10.5281/zenodo.10407935
title: Estat dels embassaments de les conques internes 2000 - 2023
DOI: 10.6084/m9.figshare.12947240
title: Real Light Source SPDs and Color Data for Use in Research

description: This set of 1,521 SPDs (updated 12/2023 to remove 8 duplicates) for real light sources (many of which are commercially available) is intended for research purposes. The spectral data is accompanied by chromaticity and color rendition data. This is not a representative sample of light sources from any population.
DOI: 10.5281/zenodo.10352579
title: HRM in disruptive contexts

description: PLS SEM methodology used to analyse quantiatative data from physicians.
DOI: 10.5281/zenodo.10352580
title: HRM in disruptive contexts

description: PLS SEM methodology used to analyse quantiatative data from physicians.
DOI: 10.5281/zenodo.10056376
title: Boletim Técnico-Saúde no bezerreiro: Desidratação.

description: Boletim técnico, cujo tema se trata de saúde no bezerreiro, com enfoque total na desidratação, de forma didática, prática e ilustrativa.
DOI: 10.5281/zenodo.10056377
title: Boletim Técnico-Saúde no bezerreiro: Desidratação.

description: Boletim técnico, cujo tema se trata de saúde no bezerreiro, com enfoque total na desidratação, de forma didática, prática e ilustrativa.
DOI: 10.21223/hmmwzh/jh4icg
title: 04_canopy_evaluation_days.xls

description: :unav
DOI: 10.21223/hmmwzh/9iusbp
title: 07_SpraysOfFungicides_Oxapampa.xls

description: :unav
DOI: 10.21223/hmmwzh/annygp
title: 06_Evaluation_date_Total biomass dry matter content.xls

description: :unav
DOI: 10.21223/hmmwzh/ykqzgq
title: 05_TotalYield_Oxapampa.xls

description: :unav
DOI: 10.21223/hmmwzh/zh6oi5
title: 01_Data_LateBlightSeverity_Oxapampa.xls

description: :unav
DOI: 10.21223/hmmwzh/17qszc
title: 09_HourlyWeatherData_Oxapampa.tab

description: :unav
DOI: 10.21223/hmmwzh/a05p0t
title: 02_LateBlight_Evaluation_date.xls

description: :unav
DOI: 10.21223/hmmwzh/cam4ea
title: 08_DailyWeatherData_Oxapampa.xls

description: :unav
DOI: 10.21223/hmmwzh/cjq7za
title: Sprays.doc

description: :unav
DOI: 10.21223/hmmwzh/oh4o6k
title: 03_Data_Canopy_cover_Oxapampa.xls

description: :unav
DOI: 10.21223/hmmwzh
title: Dataset for: Effect of nitrogen fertilization on potato late blight in the field in Oxapampa, Pasco, Peru

description: The effect of nitrogen (N) fertilization on the development of potato late blight disease, caused by Phytophthora infestans (Mont.) de Bary, was studied through field experiments in two locations in Peru (Huancayo and Oxapampa). These datasets correspond to the field experiments in Oxapampa. Three levels of N (0, 160, and 320 kg/ha) and three levels of fungicide were applied in all combinations on two potato (Solanum tuberosum L.) varieties with different levels of resistance (18 treatments), and in four repetitions. N had no effect on the disease when severity was very low or high. At intermediate levels of disease severity, increased N led to increased disease. In Huancayo, the effect of 0 vs. 160 kg·ha-1 of N on the more susceptible variety was negligible because of increased late blight. For the more resistant variety, late blight had little effect on yield when N was applied at 0 or 160 kg·ha-1. Increasing the N fertilization rate to 320 kg·ha-1 did not further increase yield in the absence of late blight, but decreased it sharply in the treatments where the disease was present because no fungicides were applied. These results indicate the importance of considering N fertilization levels in integrated management schemes for potato late blight, and in comparison of results across experiments. If farmers want to increase potato yields with N fertilizer, they may need to use more fungicides or varieties with higher resistance.
DOI: 10.21223/hmmwzh/zbvcet
title: 05_TotalYield_Oxapampa.xls

description: :unav
DOI: 10.25925/20231212
title: Multi-laboratory compilation of atmospheric carbon dioxide data for the year 2023; obspack_co2_1_NRT_v9.1_2023-12-18

description: This product is constructed using the Observation Package (ObsPack) framework [Masarie et al., 2014; www.earth-syst-sci-data.net/6/375/2014/]. The framework is designed to bring together atmospheric greenhouse gas (GHG) observations from a variety of sampling platforms, prepare them with specific applications in mind, and package and distribute them in a self-consistent and well-documented product. ObsPack products are intended to support GHG budget studies and represent a new generation of cooperative value-added GHG data products.
DOI: 10.25452/figshare.plus.24667905
title: DepMap 23Q4 Public

description: This DepMap release contains data from CRISPR knockout screens from project Achilles, as well as genomic characterization data from the CCLE project.For more information, please see README.txt.
DOI: 10.5281/zenodo.10407940
title: Projeto de Climatizaº~ação de um Edifício de Comércio e Serviços
DOI: 10.5281/zenodo.10407941
title: Projeto de Climatizaº~ação de um Edifício de Comércio e Serviços
DOI: 10.25345/c5dr2pk9t
title: MassIVE MSV000093697 - European River Monitoring Study
title: River water collected across 31 European countries with 45 participating research laboratories. Between 3 to 16 rivers and creeks sampled in each country during the spring period March-April 2023. The 302 samples were frozen and shipped for nontarget analysis at Aarhus University, Denmark. River water samples were cleaned and enriched 30 times using hydrophilic-lipophillic balanced (HLB) solid-phase extraction and analyzed using nanoLC-nanoelectrospray-HRMS/MS.
DOI: 10.17608/k6.auckland.23264594
title: HVN SUN Metadata Record - Seeding throUgh FeediNg: nourishing the infant microbiome to support immune health

description: This metadata record and it's attached files make statements about the kinds of data collected as part of this research, and set out policies for governance of that data, now and in the future.   
The SUN RCT is a double-blind, randomised controlled trial and will involve 300 infants who have not yet started solids and their mothers. The food-based intervention (kumara powder) will start at around 6 months of age (the recommended age for introduction of complementary feeding, according to the NZ Ministry of Health and World Health Organisation recommendations). The study will be completed four months after the introduction of solids (i.e., when your baby is around 10 months of age). 
Participants will be randomised to one of three groups (100 infants in each group). One group will receive a standard kumara powder, another group will receive the kumara powder with an increased amount of resistant starch (prebiotic) from banana, and a third group will be the control group. The control group will not be required to give their child any kumara powder. If randomised to a kumara group, participants will be asked to gradually introduce the kumara powder their baby is consuming approximately 5 g (1 tsp) of powder per day. The kumara is prepared by mixing the powder with hot (not boiling) water to form an age-and stage-appropriate paste and adding it to infant food(s). Participants will be supplied with all the kumara powder required for participation in this study at no cost. The kumara powder will be provided every 2 months at your clinic visit. Both kumara groups involve the use of an accepted ingredient in infant nutrition (kumara) which is manufactured in a registered facility that complies with Food Standards Australia and New Zealand Guidelines, with respect to manufacturing standards and compliance with food safety requirements, including allergy management. If randomised to control group, participants will receive a gift voucher to the value of the provided kumara. 
The purpose of the SUN RCT is to determine whether a food (kumara), consumed as a first food, will be beneficial to the development of the infant microbiome (the bacteria within the digestive tract) and whether this can support infant immune health (including illness frequency and sleep behaviours). Resistant starch is a carbohydrate that resists digestion and acts as a prebiotic food for the good gut bacteria. This study will be conducted in Auckland, New Zealand.
DOI: 10.15156/bio/sh0787602.10fu
title: SH0787602.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0787603.10fu
title: SH0787603.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0787604.10fu
title: SH0787604.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0787605.10fu
title: SH0787605.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0787606.10fu
title: SH0787606.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0787607.10fu
title: SH0787607.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0787608.10fu
title: SH0787608.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0787609.10fu
title: SH0787609.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0787610.10fu
title: SH0787610.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.