cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/ljkr3d
title: Global Register of Introduced and Invasive Species – Martinique

description: The Global Register of Introduced and Invasive Species (GRIIS) presents validated and verified checklists of introduced (alien) and invasive alien species at the country, territory, and associated island level. The primary intention of GRIIS is to provide checklists for countries, islands and soon also for protected areas. Checklists are living entities, especially for biological invasions given the growing nature of the problem. GRIIS checklists are based on a published methodology and supported by the Integrated Publishing Tool that jointly enable ongoing improvements and updates to expand their taxonomic coverage and completeness. Phase 1 of the project focused on developing validated and verified checklists of countries that are Party to the Convention on Biological Diversity (CBD). Phase 2 which is on-going, aims to achieve global coverage including non-party countries and all overseas territories of countries e.g. Netherlands, France and United Kingdom. Species belonging to all Kingdoms are covered as well as occurring in all environment/systems. Country/ Territory/ Island checklists are reviewed and verified by networks of country or species experts. Verified checklists/ species records as well as those under review are presented on the online GRIIS website (www.griis.org) in addition to being published through the GBIF IPT This annotated checklist is of introduced (alien) and invasive alien species known to occur in Martinique an Overseas territory of France.
DOI: 10.23728/fmi-b2share.a006840cce9340e8bf11e562bb8d396e
title: Daily surface concentration of fire related PM2.5 for 2003-2021, modelled by SILAM CTM when using the MODIS satellite data for the fire radiative power

description: Fine particles from wildfires are one important source for PM2.5. These small aerosol particles are risk to health and cause a large number of premature deaths world-wide. Using the MODIS satellite data we estimate the fine particulate matter emissions from wildfires and model they dispersion in atmosphere using the System for Integrated modeLling of Atmospheric coMposition (SILAM) chemistry transport model. The surface concentration of PM-fine, related to fires, is here evaluated for years 2003-2021 and the corresponding daily mean data is provided both in global scale, in 0.5 degree resolution, and also in European scale in 0.1 degree resolution.
description: We use the fire radiative power data of MODIS instrument onboard of Aqua and Terra satellite to estimate globally the fire radiative power (FRP) from wildfires for years 2003-2021. The FRP is converted to fire related fine particles (PM2.5) using calibrated emissions factors and diurnal profile, together with dynamical emission heights. The dispersion of the fire related PM is followed by using System for Integrated modeLling of Atmospheric coMposition (SILAM) chemistry transport model version 5.8 (http://silam.fmi.fi, open-source code http://github.com/fmidev/silam-model). The global scale simulations have a resolution of 0.5x0.5 degrees with 29 model levels reaching up to 10.5 Pascals (~64 km). The lowest layer top is at ~31 m. The European scale grid has a horizontal resolution of 0.1x0.1 degrees and the boundaries come from the global results, top boundary being at ~16 km. Both simulations have time resolution of one hour from which the daily averaged surface concentration is extracted to the this data-set. Both the global and European scale simulations use the ERA5 meteorology as a drive.
description: TechnicalInfo: The dataset consists of two subsets: 1) NetCDF file PMfire_glob_2003to2021.nc4 contains the global daily averaged fire related PM surface concentration in 0.5 degree resolution. 2) NetCDF file PMfire_europe_2003to2021.nc4 contains the daily averaged fire related PM surface concentration in 0.1 degree resolution in European region, defined by lon = W25...E45, and lat = N30...N72.
DOI: 10.15468/j778ot
title: Global Register of Introduced and Invasive Species- Nicaragua

description: The Global Register of Introduced and Invasive Species (GRIIS) presents validated and verified checklists of introduced (alien) and invasive alien species at the country, territory, and associated island level. The primary intention of GRIIS is to provide checklists for countries, islands and soon also for protected areas. Checklists are living entities, especially for biological invasions given the growing nature of the problem. GRIIS Checklists are based on a published methodology and supported by the Integrated Publishing Tool that jointly enable ongoing improvements and updates to expand their taxonomic coverage and completeness. Phase 1 of the project focused on developing validated and verified checklists of countries that are Party to the Convention on Biological Diversity (CBD). Phase 2 which is on-going, aims to achieve global coverage including non-party countries and all overseas territories of countries e.g. Netherlands, France and United Kingdom. Species belonging to all Kingdoms are covered as well as occurring in all Environment/systems. Country/ Territory/ Island checklists are reviewed and verified by networks of country or species experts. Verified checklists/ species records as well as those under review are presented on the online GRIIS website (www.griis.org). Individual species records are flagged with a ‘yes’ for verification. This annotated checklist is of introduced (alien) and invasive alien species known to occur in Nicaragua
DOI: 10.15468/o3gz73
title: Global Register of Introduced and Invasive Species- San Marino

description: The Global Register of Introduced and Invasive Species (GRIIS) presents validated and verified checklists of introduced (alien) and invasive alien species at the country, territory, and associated island level. The primary intention of GRIIS is to provide checklists for countries, islands and soon also for protected areas. Checklists are living entities, especially for biological invasions given the growing nature of the problem. GRIIS Checklists are based on a published methodology and supported by the Integrated Publishing Tool that jointly enable ongoing improvements and updates to expand their taxonomic coverage and completeness. Phase 1 of the project focused on developing validated and verified checklists of countries that are Party to the Convention on Biological Diversity (CBD). Phase 2 which is on-going, aims to achieve global coverage including non-party countries and all overseas territories of countries e.g. Netherlands, France and United Kingdom. Species belonging to all Kingdoms are covered as well as occurring in all Environment/systems. Country/ Territory/ Island checklists are reviewed and verified by networks of country or species experts. Verified checklists/ species records as well as those under review are presented on the online GRIIS website (www.griis.org). Individual species records are flagged with a ‘yes’ for verification. This annotated checklist is of introduced (alien) and invasive alien species known to occur in San Marino
DOI: 10.5281/zenodo.6674799
title: Aviceda subcristata SPAdes preassembly

description: .
DOI: 10.5281/zenodo.6674798
title: Aviceda subcristata SPAdes preassembly

description: .
DOI: 10.22008/fk2/nnty4t/fj2xrb
title: DGU_KS_50-4_Danish-Central-Graben_Upper-Jurassic_Isochore.pdf

description: :unav
DOI: 10.22008/fk2/nnty4t/jiio1o
title: DGU_KS_50-3_Danish-Central-Graben_Upper-Jurassic_Interval-velocity.pdf

description: :unav
DOI: 10.22008/fk2/nnty4t/4v9jvm
title: DGU_KS_50-2_Danish-Central-Graben_Base-Upper-Jurassic_Depth-structure.pdf

description: :unav
DOI: 10.22008/fk2/nnty4t/dxpbwx
title: DGU_KS_50-1_Danish-Central-Graben_Base-Upper-Jurassic_Time-structure.pdf

description: :unav
DOI: 10.22008/fk2/xblerl/33r1wt
title: DGU_KS_52-1_Femer-Baelt_Arkona-Bassinet_Senkvartaere-aflejringer.pdf

description: :unav
DOI: 10.22008/fk2/v435y3/m3q9mw
title: DK50_Djursland_KS51.pdf

description: :unav
DOI: 10.22008/fk2/4xhdrg/dcrffe
title: DGU_KORT_SERIE_NR_49_BaseCretaceous_Depth.pdf

description: :unav
DOI: 10.22008/fk2/4xhdrg/p4jajb
title: DGU_KORT_SERIE_NR_49_BaseCretaceous_Time.pdf

description: :unav
DOI: 10.22008/fk2/4xhdrg/qpuedu
title: DGU_KORT_SERIE_NR_49_CromerKnollGroup_IntervalVel.pdf

description: :unav
DOI: 10.22008/fk2/4xhdrg/hoahsl
title: DGU_KORT_SERIE_NR_49_CromerKnollGroup_Isochore.pdf

description: :unav
DOI: 10.26066/rds.8743
title: Mountain Regions of Hindu Kush Himalayan (HKH) Region

description: Digital raster dataset of mountain regions of the Hindu Kush Himalayan (HKH) region.
DOI: 10.22008/fk2/uoddyx/lgw89n
title: DGU_KORT_SERIE_NR_48_ChalkGroup_IntervalVel.pdf

description: :unav
DOI: 10.22008/fk2/uoddyx/vzmjdv
title: DGU_KORT_SERIE_NR_48_BaseChalk_Depth.pdf

description: :unav
DOI: 10.22008/fk2/uoddyx/npmylp
title: DGU_KORT_SERIE_NR_48_ChalkGroup_Isochore.pdf

description: :unav
DOI: 10.22008/fk2/uoddyx/jcsr0a
title: DGU_KORT_SERIE_NR_48_BaseChalk_Time.pdf

description: :unav
DOI: 10.22008/fk2/jjci4q/izdkzq
title: DGU_KORT_SERIE_NR_47_TopChalk_Depth.pdf

description: :unav
DOI: 10.22008/fk2/jjci4q/pibs0s
title: DGU_KORT_SERIE_NR_47_PostChalk_IntervalVel.pdf

description: :unav
DOI: 10.22008/fk2/jjci4q/elix1c
title: DGU_KORT_SERIE_NR_47_TopChalk_Time.pdf

description: :unav
DOI: 10.23728/fmi-b2share.5d81ded56e984072a5f7162a18b60cb9
title: Data for Rantanen et al. (2022) "The Arctic has warmed nearly four times faster than the globe since 1979"

description: Data descriptions ------------------- This dataset includes data for producing the graphs and charts in the manuscript with title "The Arctic has warmed nearly four times faster than the globe since 1979" by Rantanen et al. (2022). ------------------- Figure 1. The following files includes the temperature time series for the Arctic and globally - arctic_temps_obs.csv - global_temps_obs.csv The following file include the gridded temperature trend (both with and without masking of statistically non-significant trends) and local amplification ratio - OBSAVE_trend.nc ------------------- Figure 2. These two files contain the Arctic amplification ratio and its percentile in CMIP6 ensemble as shown in Fig. 2 - obs_aa_sensitivity.csv - obs_aa_perc_cmip6.csv ------------------- Figure 3. The 43-year Arctic amplification ratio derived from the models can be found the following files: - cmip5_aa_ann.csv - cmip6_aa_ann.csv - mpi-ge_aa_ann.csv The 43-year Arctic amplification ratio derived from the observations can be found the following file: - observed_aa_ann.csv ------------------- Figure 4. Arctic amplification ratio as a function of the starting year of the trend derived from the models can be found the following files: - cmip5_aa_to_present.csv - cmip6_aa_to_present.csv - mpi-ge_aa_to_present.csv ------------------- Figure 5. The seasonality of Arctic amplification derived from CMIP6 models can be found from - cmip6_aa_seasonality.zip and for the observations - obs_aa_seasonality.zip The zip-files include monthly Arctic amplification values for each month of the year (in total 12 files). ------------------- Figure 6. Frequency distributions of all possible 43-year AA ratios between 1970 and 2040 can be derived from - cmip5_aa_ann.csv - cmip6_aa_ann.csv - mpi-ge_aa_ann.csv The observational Arctic amplification ratio can be found from - observed_aa_ann.csv. If you have any questions related to the dataset, please contact mika.rantanen@fmi.fi
DOI: 10.5281/zenodo.6674990
title: Toxostoma rufum SPAdes prassembly

description: .
DOI: 10.5281/zenodo.6674989
title: Toxostoma rufum SPAdes prassembly

description: .
DOI: 10.5517/ccdc.csd.cc23b4yk
title: CCDC 1946178: Experimental Crystal Structure Determination

description: Related Article: Deepthi Ramesh, Amaresh Kumar Mohanty, Anirban De, Balaji Gowrivel Vijayakumar, Aiswarya Sethumadhavan, Suresh Kumar Muthuvel, Maheswaran Mani, Tharanikkarasu Kannan|2022|RSC Advances|12|17466|doi:10.1039/D2RA02450K
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2b8c66
title: CCDC 2152987: Experimental Crystal Structure Determination

description: Related Article: Carley Giffert L. Nongpiur, Danny F. Diengdoh, Nupur Nagar, Krishna Mohan Poluri, Paige M. Gannon, Werner Kaminsky, Mohan Rao Kollipara|2022|Polyhedron|221|115855|doi:10.1016/j.poly.2022.115855
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.22008/fk2/k1nnlp/njnfds
title: DGU_KORT_SERIE_NR_46_Havbund.pdf

description: :unav
DOI: 10.22008/fk2/f9dwmb/vmgkyb
title: DGU_KORT_SERIE_NR_45_Post_Zechstein_IntervalVel.pdf

description: :unav
DOI: 10.22008/fk2/f9dwmb/twivu9
title: DGU_KORT_SERIE_NR_45_Top_Pre_Zechstein_Sub-supercrop.pdf

description: :unav
DOI: 10.22008/fk2/f9dwmb/tb28hs
title: DGU_KORT_SERIE_NR_45_StructuralElements_TopPreZechstein.pdf

description: :unav
DOI: 10.22008/fk2/f9dwmb/etdkg0
title: DGU_KORT_SERIE_NR_45_Top_pre_Zechstein_Depth.pdf

description: :unav
DOI: 10.22008/fk2/f9dwmb/f4fl1z
title: DGU_KORT_SERIE_NR_45_TopPreZechstein_Time.pdf

description: :unav
DOI: 10.22008/fk2/f9dwmb/60rqjp
title: DGU_KORT_SERIE_NR_45_SeismicDataCoverage.pdf

description: :unav
DOI: 10.5281/zenodo.6675175
title: Ara macao SPAdes preassembly

description: .
DOI: 10.5281/zenodo.6675174
title: Ara macao SPAdes preassembly

description: .
DOI: 10.17632/rctsc43676.1
title: TWW, TBW transports during summer period in the Bransfield Strait 2011-2022

description: The Weddell Waters and the Bransfield Waters transports, calculated from in-situ measurements of velocity profiles, conducted by Shirshov Institute of Oceanology, Moscow.
DOI: 10.17632/zrcv3yw9sn.1
title: DFT + U study of uranium dioxide and plutonium dioxide with occupation matrix control

description: input files for VASP simulation, including typical INCAR, POSCAR, POTCAR, KPOINTS files
DOI: 10.17632/cks86467mv.6
title: Supplementary data for the article:  Lightella neohaematopini: A new lineage of highly reduced endosymbionts coevolving with chipmunk lice of the genus Neohaematopinus

description:  Alignments:

1. Phylogenetic matrix - concatenated matrix of 14 ortholog sequences (AA) extracted from representative set of available proteomes for each major lineage of Enterobacteriales (analyzed by PhyML, MrBayes and PhyloBayes) in a fasta format
2. Coevolutionary matrix (5 proteins) - concatenated matrix of 5 ortholog sequences (AA) extracted from 12 assemblies of L. neohaematopini (analyzed by PhyML and MrBayes) in a fasta format
3. Coevolutionary matrix (50 proteins) - concatenated matrix of 50 ortholog sequences (AA) extracted from 11 assemblies of L. neohaematopini (analyzed by PhyML) in a fasta format
4. Neisseriales matrix -  concatenated matrix of 30 ortholog sequences (AA) extracted from representative set of available proteomes for Neisseriales (analyzed by PhyML and MrBayes) in a fasta format
5. Host matrices - individual matrices for 1,107 nuclear loci from Bell et al. 2021 (analyzed by IQ-TREE) in a fasta format

Phylogenetic trees folder:
Phylogenetic trees generated by PhyML, MrBayes and PhyloBayes in a newick format.

KO numbers folder:
KO numbers generated by BLAST KOALA server for corresponding genomes.

Annotations folder:
Annotations of the genome drafts for the five best assemblies in gbk format.

Detailed description of used methods can be found in the Materials and Methods section.
DOI: 10.17632/dhgbssb8ns.1
title: Small and medium-sized bakery production data for scheduling.

description: Production scheduling is one of the most important research topics in the discipline of industrial engineering and management. The use of a flow shop model and optimization algorithm to find an optimum schedule with the lowest production cost is common. The approach begins with the collection of production data in order to have a better understanding of the production environment.
This dataset contains information from a single bakery production line. It is slightly modified from the original production data. The hybrid no-wait flow shop scheduling concept is applicable for bakeries. There should be no delay between two successive stages. Furthermore, the products are grouped according to their internal dependencies. One product can be produced at any point during the manufacturing process of a group of products. The remainder of the products in the same group, however, are dependent on it.
The parameters in this dataset are described in detail below.

machine_id (M): The id for machines
machine_name: The name of the corresponding machine
machine_category: Machines of the same functionality are identified, so that one of them can be chosen.
employee_id (E): The id for employees
shift_start: The production time [min] when the shift of an employee starts
shift_end: The production time [min] when the shift of an employee ends
pr_group	(PG): Product group number, grouped based on internal dependency of the products
product_id (P): ID for the products within a group
bowl_time_WT (WT): Start time difference between independent product and another product of the group
product_name: Name of the product
batches: Number of batches of a group. If the value is 2 for a group, all the products in this group have to produce two times. However, 2 groups must not be produced at the same time or one after one. In other words, batches of same group do not depend on each other. Therefore, multiple batches can be produced independently. However, products withing a batch of a group must follow the bowl time (WT).
stage_name: Name of the processing stages
duration_PT (PT): Processing time [min] for the stages
machines_ employees_ME (M, E): Required machines or employees that can perform the task. Dough rest and cooling require no machines. For proofing no blockage is considered. It means proving chamber can operate as many product as possible to produce at a time. In such cases, the cells are kept empty. The term "Manual" indicates that the task has to performed by any employee.
DOI: 10.17632/7t72h95x9v.1
title: Data codification of the articles included in the systematic review on ground-dwelling arthropods as temperate grassland indicators

description: The datasets presented here are related to the systematic review entitled "Edaphic arthropods as indicators of the ecological condition of temperate grassland ecosystems: a systematic review" (Solascasas et al., 2022).  We conducted our systematic literature review following the methodology of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) designed for indexed publications. We conducted a survey using the Web of Science™ (Clarivate Analytics, 2020) database up to December 2020. We analysed the content of the included studies and created two databases. The first database (database1) was used to identify the taxonomic groups of arthropods usually selected to assess specific management practices, land uses, or processes (e.g., restoration success) and the indices more frequently measured. This database included general information to characterise the study (e.g., year of publication, geographical area, grassland type, taxonomic group, monitoring method, among others). We created a second database (database2) where we registered the specific response of the arthropods chosen as ecological indicators. In this database, we incorporated as many rows per paper as taxonomic groups used and as indices evaluated for each category of assessment. Given the diversity of grassland factors being evaluated in our sample of studies, we established categories (e.g., grazing, mowing, burning, land use, restoration strategies, etc.) allowing us to better synthesise the response of the different indicators.  For each case study we reported information on the specific arthropod used, the index determined and the significance of the response (significant/not significant or not specified in the study), as well as the direction of the response, when it was conclusive.
DOI: 10.17632/wsd42v8mk5.1
title: A fully-annotated imagery dataset of sublittoral benthic species in South Eastern Baltic Sea reefs

description: The data presented here was collected in SE Baltic Sea coastal and offshore reefs during the sampling seasons of 2020-2021 summer-autumn and 2013 June. Offshore data consists of two 30 s long video samples (DE01-1, DE01-2) that were filmed with ROV mounted Full HD (1920 × 1080) resolution camera with lighting system consisting of 16 bright LED in 4 × 4 stations. Coastal data consists of five 10 m transects (SM02-1, SM02-2, SM07-1, SM07-2, SM08) filmed by SCUBA divers with GoPro camera. The provided dataset consists of three types of data: annotated frames, annotated 2D video mosaics and raw data consisting of video samples and 2D video mosaics. All video samples were converted into still images (video mosaics or frames), that were visually analysed by marine biologists. Mosaic SM08 was divided into two equal parts (SM08-1, SM08-02). Four biological and four geological features were targeted for annotation: red algae Furcellaria lumbricalis and Vertebrata fucoides, green algae Cladophora sp., blue mussel Mytilus edulis trossulus, Boulders (>25 cm), Cobbles (6-25 cm), Pebbles (0.2-6 cm) and Sand (<0.2 cm). Annotation process where 3 experts performed manual pixel-wise segmentation (with Labelbox tool) resulted in 8 annotated 2D video mosaics and 104 frames. 

Dataset consists of three directories: raw data with videos (50fps, .AVI format) and 2D video mosaics (.JPG format); annotated categories for mosaics and frames (.PNG format) separately, with corresponding annotations (masks and mask overlays). 7 video samples, resulting in 8 video mosaics and 104 frames with corresponding annotations (masks and mask overlays) for objects in 8 categories.
Geographical information (Y, X in WGS coordinate system). DE01 (55.39904, 20.62784), SM02 (55.90750, 21.04090), SM07 (55.92220, 21.03720), SM08 (55.92360, 21.04100).
DOI: 10.34740/kaggle/dsv/3836766
title: UNETR Model - TensorFlow
DOI: 10.17632/tx6vmd4g9p.1
title: Environment due diligence data

description: Environmental due diligence data consists of data evaluating environmental conditions and preparing remedial plans in accordance with the guidelines by regulatory bodies to help in determining the impact on the environment due to contamination.
DOI: 10.17632/yyphmbhjcn.1
title: Survey data about Coronavirus Fear of Chinese college students in school lockdowns during the COVID-19 pandemic

description: This study aims to understand the fear level of college students in the COVID-19 area after a month of the outbreak. Therefore, a quick survey of 1000 respondents was planned to be completed within one week (December 9-11, 2021). The target respondents are college students from the Chengdu University of traditional Chinese medicine. This cross-sectional online survey adopts a convenient snowball sampling technology. The questionnaire link (questionnaire star) is sent to each class. A total of 1032 students agreed to participate in the research and filled in the online questionnaire. After reviewing the content, 1030 copies were finally determined to be effectively recovered. 
The tool applied in this questionnaire is the Questionnaire Star (https://www.wjx.cn/), which is the most commonly used online questionnaire filling tool in China. The two reviewers used Epidate to enter data, to avoided data errors caused by personal reasons. The questionnaire consists of two parts:1. Demographic data of participants, including gender, age, education, cost of living, family, professional category, and achievement levels;