cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.48364/isimip.196458.1
title: Climate Extremes Indicators

description: All indicators are derived from the daily bias-corrected climate data of the ISIMIP3b input datasets and are organized into two groups. The first five are directly calculated from daily mean and maximum 2 m air temperature and daily precipitation, respectively. The remaining four indicators are derived from the Canadian Forest Fire Weather Index (FWI), produced by Yi-Ling Hwong (IIASA) and kindly provided to PIK. Currently, the FWI-based indicators cover only the historical period from 1974 onwards and the baseline period for two of these FWI-based indicators is set to 1974–2004. In a future update, we plan to extend the historical time series back to 1851 and apply 1851–1900 as the baseline consistently for all indicators. All data is reduced by masking the marine areas. Detailed descriptions of all indicators are provided below, where each list item corresponds to the variable name used in the dataset.<br>⚫︎ temp-annual-max (TXx): Annual maximum temperature<br>⚫︎ temp-variability (TV): Temperature Variability<br>⚫︎ pr-annual-max (Rx1day): Maximum over the year of the 1-day precipitations<br>⚫︎ pr-extreme-99-9: Extreme Daily Precipitation Annual Sum (above 99.9th percentile of baseline period daily data)<br>⚫︎ pr-wetdays-gt1mm (W): Number of wet days &gt; 1mm precipitation<br>⚫︎ fwi (FWI): Canadian Fire Weather Index (FWI)<br>⚫︎ fwi-annual-max (FWIXx): Maximum of the daily FWI over the year<br>⚫︎ fwi-ndays-extreme (FWIxd): Number of days with extreme fire weather above 95th percentile of 1974-2004 baseline<br>⚫︎ fwi-avg-seasonal (FWISA): Annual Maximum of Seasonal Average of Fire Weather Index (90 days running mean)<br>⚫︎ fwi-season-length (FWILS): Number of days for which the FWI is above the mean of minimum and maximum of the FWI over the reference period 1974-2004 for this single ensemble member<br>These datasets have been created within the SPARCCLE project framwork as Deliverable D2.1 (https://sparccle.eu/).<br>Version 1.1. of this dataset extends all four FWI-based indicators to span the period from 1851 to 2100. In addition, the underlying daily FWI data itself have been included.
DOI: 10.5281/zenodo.15387344
title: Targeted amplicon deep sequencing of P. falciparum antimalarial drug resistance markers in Eswatini, 2023

description: P. falciparum antimalarial drug resistance marker genotypes and complexity of infection were obtained for samples collected in Eswatini in 2023. Genotypes were generated using the MAD4HatTeR targeted amplicon deep sequencing protocol (Aranda-Diaz, 2025).
DOI: 10.5281/zenodo.15387343
title: Targeted amplicon deep sequencing of P. falciparum antimalarial drug resistance markers in Eswatini, 2023

description: P. falciparum antimalarial drug resistance marker genotypes and complexity of infection were obtained for samples collected in Eswatini in 2023. Genotypes were generated using the MAD4HatTeR targeted amplicon deep sequencing protocol (Aranda-Diaz, 2025).
DOI: 10.5281/zenodo.18773424
title: EFFECTIVENESS OF PROBIOTICS AND ANTIBIOTICS IN PREVENTING POULTRY PASTEURELLIOSIS IN CHICKENS

description: The article presents epidemiological data on poultry pasteurellosis and the results of an experimental experiment on the separate and combined use of Florabalans probiotic and Intertrim 480 Oral antibiotic for the prevention of the disease. Chicks of the 1st experimental group were given Intertrim 480 Oral antibiotic separately, group 2 was given Florabalans probiotic, and group 3 was given Florabalans probiotic and Intertrim 480 Oral antibiotic together. Then, chicks of all groups were infected with the pasteurellosis pathogen P. Multosida in an amount of 1 ml (1-1.5 billion m.t. - LD100). As a result of the study, the effectiveness of preventing the disease in groups 1 and 2 was 90%, and in group 3 it was 100%.
DOI: 10.48364/isimip.196458
title: Climate Extremes Indicators

description: All indicators are derived from the daily bias-corrected climate data of the ISIMIP3b input datasets and are organized into two groups. The first five are directly calculated from daily mean and maximum 2 m air temperature and daily precipitation, respectively. The remaining four indicators are derived from the Canadian Forest Fire Weather Index (FWI), produced by Yi-Ling Hwong (IIASA) and kindly provided to PIK. Currently, the FWI-based indicators cover only the historical period from 1974 onwards and the baseline period for two of these FWI-based indicators is set to 1974–2004. In a future update, we plan to extend the historical time series back to 1851 and apply 1851–1900 as the baseline consistently for all indicators. All data is reduced by masking the marine areas. Detailed descriptions of all indicators are provided below, where each list item corresponds to the variable name used in the dataset.<br>⚫︎ temp-annual-max (TXx): Annual maximum temperature<br>⚫︎ temp-variability (TV): Temperature Variability<br>⚫︎ pr-annual-max (Rx1day): Maximum over the year of the 1-day precipitations<br>⚫︎ pr-extreme-99-9: Extreme Daily Precipitation Annual Sum (above 99.9th percentile of baseline period daily data)<br>⚫︎ pr-wetdays-gt1mm (W): Number of wet days &gt; 1mm precipitation<br>⚫︎ fwi-annual-max (FWIXx): Maximum of the daily FWI over the year<br>⚫︎ fwi-ndays-extreme (FWIxd): Number of days with extreme fire weather above 95th percentile of 1974-2004 baseline<br>⚫︎ fwi-avg-seasonal (FWISA): Annual Maximum of Seasonal Average of Fire Weather Index (90 days running mean)<br>⚫︎ fwi-season-length (FWILS): Number of days for which the FWI is above the mean of minimum and maximum of the FWI over the reference period 1974-2004 for this single ensemble member<br>These datasets have been created within the SPARCCLE project framwork as Deliverable D2.1 (https://sparccle.eu/).
DOI: 10.5281/zenodo.18773425
title: EFFECTIVENESS OF PROBIOTICS AND ANTIBIOTICS IN PREVENTING POULTRY PASTEURELLIOSIS IN CHICKENS

description: The article presents epidemiological data on poultry pasteurellosis and the results of an experimental experiment on the separate and combined use of Florabalans probiotic and Intertrim 480 Oral antibiotic for the prevention of the disease. Chicks of the 1st experimental group were given Intertrim 480 Oral antibiotic separately, group 2 was given Florabalans probiotic, and group 3 was given Florabalans probiotic and Intertrim 480 Oral antibiotic together. Then, chicks of all groups were infected with the pasteurellosis pathogen P. Multosida in an amount of 1 ml (1-1.5 billion m.t. - LD100). As a result of the study, the effectiveness of preventing the disease in groups 1 and 2 was 90%, and in group 3 it was 100%.
DOI: 10.5281/zenodo.18761155
title: LADR-1625
DOI: 10.5281/zenodo.18761154
title: LADR-1625
DOI: 10.5281/zenodo.18773379
title: XRF and Grain Size analysis of Chilika Lake
DOI: 10.5281/zenodo.18773378
title: XRF and Grain Size analysis of Chilika Lake
DOI: 10.17632/vck73nxm47
title: Data for "Deep evolution of carbonated magmas controls ocean island basalt chemistry"

description: The experimental results and calculations data generated in this study.
DOI: 10.17632/vck73nxm47.1
title: Data for "Deep evolution of carbonated magmas controls ocean island basalt chemistry"

description: The experimental results and calculations data generated in this study.
DOI: 10.17632/6bnrt3vcjz.1
title: Dopaminergic Modulation of Sense of Agency Influences Moral Behavior in Parkinson’s Disease

description: Embodied morality theories propose that corporeal self-awareness is pivotal for refraining from immoral actions. Studies indicate that the Sense of Agency (SoA) – i.e., the feeling of controlling one’s actions and their consequences – is reduced when harming others. Whether modulating SoA impacts moral behavior remains unclear. Crucially, individuals with Parkinson’s Disease (PD) show dopamine-related SoA changes and altered moral decision-making, suggesting that these two processes are related to the dopaminergic system functioning. To probe the link between dopaminergic state, moral behavior and SoA we tested 23 participants affected by Parkinson’s disease (PD) in ON and OFF dopaminergic states, and 24 control participants. They performed two behavioral tasks aimed at measuring SoA (SoA-GAME) and moral decision-making (Temptation to Lie Card Game, TLCG), respectively. The SoA-GAME captures degrees of SoA by collecting synchrony judgments between executed and observed virtual actions. The TLCG measures dishonesty by tempting participants to deceive another player for monetary gain. We found that SOA was higher in ON vs. OFF dopaminergic state – specifically, when virtual movements were congruent with participants’ movements and the goal of the action was not achieved – and that patients with PD deceived less in ON than OFF dopaminergic state. Importantly, higher perceived synchrony in the SoA-GAME predicted a reduction of immoral decision-making in the TLCG, only when individuals were in ON dopaminergic state. Our results indicate that dopaminergic medication may decrease self-serving immoral actions through SoA enhancement and support theories proposing a direct connection between corporeal self-awareness and morality.
DOI: 10.17632/pny4px3nnk.2
title: Data for Study of Clustering and Precipitation Behavior in a Mg-Zn-Ca Alloy by Atom Probe Tomography

description: These are the atom probe tomography (APT) analysis data, including .pos and .analysisset, for the paper titled "Study of Clustering and Precipitation Behavior in a Mg-Zn-Ca Alloy by Atom Probe Tomography". The data can be opened with AP Suite from CAMECA.
DOI: 10.17632/yg5mcgrcxj
title: Instance data--Cost-Constrained Fuzzy Weighted Tardiness Scheduling for Unrelated Parallel Machine

description: In the instance data folder, there are 450 experimental instances given in the dataset. According to the values of θ and β, the instances can be divided into 9 groups, where the values of TF are {0.2,0.4,0.6}, and the values of R are {0.2,0.4,0.6}. Each group is further divided into small-scale and large-scale instances. For the small-scale instances, the number of machines m is set to 4, and the number of jobs n is set to 10, 20, 30, 40, and 50, respectively. For the large-scale instances, the number of machines is set to 8, and the number of jobs is set to 100, 150, 200, 250, and 300, respectively. In each job information file, the first line represents the processing time, the second line represents the release time, the third line represents the due date, the fourth line represents the weight, and the fifth line represents the number of unavailable time periods on the machines. In each job information file, the first 3m rows represent the fuzzy processing times of jobs, with every 3 rows corresponding to the fuzzy processing times of all jobs on one machine. Rows (3m+1) to (3m+3) contain the fuzzy due dates of jobs, and the last two rows represent the job weights and the unit processing costs of machines, respectively.
DOI: 10.17632/yg5mcgrcxj.1
title: Instance data--Cost-Constrained Fuzzy Weighted Tardiness Scheduling for Unrelated Parallel Machine

description: In the instance data folder, there are 450 experimental instances given in the dataset. According to the values of θ and β, the instances can be divided into 9 groups, where the values of TF are {0.2,0.4,0.6}, and the values of R are {0.2,0.4,0.6}. Each group is further divided into small-scale and large-scale instances. For the small-scale instances, the number of machines m is set to 4, and the number of jobs n is set to 10, 20, 30, 40, and 50, respectively. For the large-scale instances, the number of machines is set to 8, and the number of jobs is set to 100, 150, 200, 250, and 300, respectively. In each job information file, the first line represents the processing time, the second line represents the release time, the third line represents the due date, the fourth line represents the weight, and the fifth line represents the number of unavailable time periods on the machines. In each job information file, the first 3m rows represent the fuzzy processing times of jobs, with every 3 rows corresponding to the fuzzy processing times of all jobs on one machine. Rows (3m+1) to (3m+3) contain the fuzzy due dates of jobs, and the last two rows represent the job weights and the unit processing costs of machines, respectively.
DOI: 10.17882/105897
title: Physical and biogeochemical marine data of Smart Bay S. Teresa (Eastern Ligurian Sea, Italy) in the period 2021-2024

description: This repository contains marine data on temperature, dissolved oxygen, pressure, practical salinity, density, conductivity, current speed and direction, total alkalinity, total scale pH measured at four coastal stations in the Gulf of La Spezia (Eastern Ligurian Sea): 1. Santa Teresa Bay (STB, 44.081871°N, 9.881686°E) (depth: 1 m) leisure marina inside the dam; 2. Mussel Aquaculture station (MUS, 44.079140°N, 9.874360°E) (depth: 5 m) inside the harbour; 3. Mussel Aquaculture Buoy (MAB, 44.077130°N, 9.880829°E) (depth: 5 m) outside the harbour; 4. Tino Island (TI, 44.019788°N, 9.850245°E) (depths: 1, 5 and 16 m) in the Regional Park and outside the Gulf. 
The monitoring is realised in the context of Smart Bay S. Teresa collaboration platform (https://smartbaysteresa.com/), where a new in situ coastal high-resolution observatory has operated continuously for three years between 2021 and 2024.
Biogeochemical data (total alkalinity (TA), total scale pH (pHT)) have been determined  weekly at STB and monthly at MAB and TI, respectively. 
Hydrodynamic conditions were recorded from 18th of October 2021 to 26th of June 2023 by single-point current meters located at 5 m of depth outside and inside the dam of La Spezia port (MAB and MUS stations). For the same period, wind speed and direction were collected by a meteorological station, located at an altitude of 49.5 m in the same area and operated by ENEA.
Sea surface height (SSH) measurements were also available for the period 13-27 April 2022, recorded by a pressure probe positioned at STB station on the seabed.
DOI: 10.17031/688ca36d49898
title: CPR Phytoplankton data in the Northeast Atlantic

description: CPR phytoplankton abundance counts and Phytoplankton Colour within Northeast Atlantic (-16, 14, 47, 64  (xmin, xmax, ymin, ymax)) from 1993-2023. NOTE: years 2022 and 2023 have not yet been finalised so will be missing some data. The excel file consists of samples in rows, with the following information in columns - A: sample ID B: midpoint of sample latitude in decimal degrees C: midpoint of sample longitude in decimal degrees D: midpoint of sample local date and time E: chlorophyll index F:onwards = abundance counts per CPR sample ~3m3 of seawater. NaN = taxa was not looked for. The taxa_info sheet give more information on the taxa included; the counting method (3=phytoplankton) and if the category is a grouping that includes other categories (to avoid double counting in your analyses). The Continuous Plankton Recorder (CPR) is a marine sampler that is towed behind volunteer ships of opportunity at speeds of up to ∼20 knots and samples at a depth of ∼7 m below the surface. The CPR unit is a metal casing in the shape of a ∼1 m torpedo that houses a roll of silk which automatically rotates using a geared propeller system. The seawater enters the front aperture where plankton and small particles are captured onto the rotating silk, which has a mesh size of 270 µm. This silk is stored in 4 % buffered formalin to preserve the sample until microscopic analysis at the laboratory in Plymouth. The silk is cut into pre-defined sections that represent one sample and equate to 10 nautical miles of tow. Phytoplankton and zooplankton are identified and counted at different stages of the microscopic analysis: semi-quantitative count of phytoplankton across 20 fields of view per sample. For a more in-depth description of the sampling methodology please refer to Richardson et al. (2006). The Phytoplankton Colour Index is a record of the colour gradient of the mesh as one of 4 colour categories (0,1,2,6.5) and has been shown to relate to the chlorophyll content of the water, including organisms not visible in the sample (Raitsos et al., 2013, Raitsos, D.E., Walne, A., Lavender, S.J., Licandro, P., Reid, P.C., and Edwards, M. 2013. A 60-year ocean colour data set from the Continuous Plankton Recorder. Journal of Plankton Research, 35(1). Note: Please do not disseminate this data as has not been finalised.
DOI: 10.15468/dl.6dteuw
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Coix lacryma-jobi",
 "Country is Fiji",
 "HasCoordinate is true"
 ]
}

 The dataset includes 4 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078058-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.85nqqj
title: Occurrence Download

description: A dataset containing 669 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Branta canadensis",
 "Country is Poland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 669 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078061-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ke936h
title: Occurrence Download

description: A dataset containing 31 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ribes nigrum",
 "Country is Latvia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 31 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078059-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1408462.10fu
title: SH1408462.10FU

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/sh1408466.10fu
title: SH1408466.10FU

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/sh1408469.10fu
title: SH1408469.10FU

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/sh1408480.10fu
title: SH1408480.10FU

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/sh1408481.10fu
title: SH1408481.10FU

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.