cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.14794414
title: URBANE Bologna Living Lab City Related Data for Urban Mobility, Infrastructure, and Socio-Demographics

description: 1.Bologna Living Lab UC1. MICRO-HUBS NETWORKS AND LIGHT EDVS – PI LAST MILE DELIVERIES

Data Types/Data Schema: Parking spots for disabled persons; Parking structures and lots; parking spots for loading and unloading; parking reserved for law enforcement; parking reserved for hotels, religious structures, journalists, dialysis patients.

Data Types/Data Schema: Demand data (socio-demographic characteristics) – see population data above + average income per statistical area and total incomes per statistical area.

Data types/data schema: road network data, traffic flow data, bike paths and itineraries, types of vehicles circulating.

2.Bologna Living Lab DEMAND DATA (SOCIO-DEMOGRAPHIC CHARACTERISTICS)

3.Bologna Living Lab UC1. MICRO-HUBS NETWORKS AND LIGHT EDVS – PI LAST MILE DELIVERIES

Data Types/Data Schema: Various city-related data including transport (traffic, vehicles, etc.), population, air quality, bologna-daily-mobility (in 10 areas of the city); OpenDataStreetMap.

Data Types/Data Schema: Interactive maps of the General Urban Plan (https://sitmappe.comune.bologna.it/Pug2023/); Limited Traffic Zone (ZTL), ZONE KM 30.

Additional City Data:Territorial bases of the municipality of Bologna: https://inumeridibolognametropolitana.it/basi-territoriali-del-comune-di-bolognaDemographic data of the population: https://inumeridibolognametropolitana.it/dati-statistici/popolazione/Bologna-daily-mobility: in attachmentOpen Data Map Comune di Bologna: https://opendata.comune.bologna.it/map/base_quartieri/?location=11,44.49136,11.31592&basemap=jawg.streets

4.URBANE Bologna Living Lab: SUPPLY/SERVICE-RELATED DATA – CHARGING STATIONS AVAILABLEData Types/Data Schema: Parking spots equipped with EV recharging columns; location, number and provider of service

OPEN DATA DOWNLOAD: https://opendata.comune.bologna.it/explore/?q=colonnine+elettriche&sort=modified
DOI: 10.5281/zenodo.14794415
title: URBANE Bologna Living Lab City Related Data for Urban Mobility, Infrastructure, and Socio-Demographics

description: 1.Bologna Living Lab UC1. MICRO-HUBS NETWORKS AND LIGHT EDVS – PI LAST MILE DELIVERIES

Data Types/Data Schema: Parking spots for disabled persons; Parking structures and lots; parking spots for loading and unloading; parking reserved for law enforcement; parking reserved for hotels, religious structures, journalists, dialysis patients.

Data Types/Data Schema: Demand data (socio-demographic characteristics) – see population data above + average income per statistical area and total incomes per statistical area.

Data types/data schema: road network data, traffic flow data, bike paths and itineraries, types of vehicles circulating.

2.Bologna Living Lab DEMAND DATA (SOCIO-DEMOGRAPHIC CHARACTERISTICS)

3.Bologna Living Lab UC1. MICRO-HUBS NETWORKS AND LIGHT EDVS – PI LAST MILE DELIVERIES

Data Types/Data Schema: Various city-related data including transport (traffic, vehicles, etc.), population, air quality, bologna-daily-mobility (in 10 areas of the city); OpenDataStreetMap.

Data Types/Data Schema: Interactive maps of the General Urban Plan (https://sitmappe.comune.bologna.it/Pug2023/); Limited Traffic Zone (ZTL), ZONE KM 30.

Additional City Data:Territorial bases of the municipality of Bologna: https://inumeridibolognametropolitana.it/basi-territoriali-del-comune-di-bolognaDemographic data of the population: https://inumeridibolognametropolitana.it/dati-statistici/popolazione/Bologna-daily-mobility: in attachmentOpen Data Map Comune di Bologna: https://opendata.comune.bologna.it/map/base_quartieri/?location=11,44.49136,11.31592&basemap=jawg.streets

4.URBANE Bologna Living Lab: SUPPLY/SERVICE-RELATED DATA – CHARGING STATIONS AVAILABLEData Types/Data Schema: Parking spots equipped with EV recharging columns; location, number and provider of service

OPEN DATA DOWNLOAD: https://opendata.comune.bologna.it/explore/?q=colonnine+elettriche&sort=modified
DOI: 10.15468/dl.y6dr2u
title: Occurrence Download

description: A dataset containing 2345 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "License is one of (CC-BY 4.0, CC-BY-NC 4.0)",
 "OccurrenceStatus is Present",
 "TaxonKey is Schima superba Gardner & Champ."
 ]
}

 The dataset includes 2345 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010077-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48597/j4cu-ytf6
title: Measurement of Aerosol_absorption_coefficient at El Arenosillo

description: Measurement of Aerosol_absorption_coefficient at El Arenosillo
DOI: 10.48597/3tw7-zmkz
title: Measurement of Aerosol_absorption_coefficient at El Arenosillo

description: Measurement of Aerosol_absorption_coefficient at El Arenosillo
DOI: 10.48597/66xv-esve
title: Measurement of Aerosol_absorption_coefficient at El Arenosillo

description: Measurement of Aerosol_absorption_coefficient at El Arenosillo
DOI: 10.48597/6bwd-mxah
title: Measurement of Aerosol_absorption_coefficient at El Arenosillo

description: Measurement of Aerosol_absorption_coefficient at El Arenosillo
DOI: 10.48597/c2jp-4ufq
title: Measurement of Aerosol_absorption_coefficient at El Arenosillo

description: Measurement of Aerosol_absorption_coefficient at El Arenosillo
DOI: 10.48597/j8fy-f7gq
title: Measurement of Aerosol_absorption_coefficient at El Arenosillo

description: Measurement of Aerosol_absorption_coefficient at El Arenosillo
DOI: 10.48597/jwjz-d6w7
title: Aerosol_absorption_coefficient at El Arenosillo

description: Measurement of Aerosol_absorption_coefficient at El Arenosillo
DOI: 10.48597/kxkg-hn4k
title: Measurement of Aerosol_absorption_coefficient at El Arenosillo

description: Measurement of Aerosol_absorption_coefficient at El Arenosillo
DOI: 10.48597/mqan-w3wk
title: Measurement of Aerosol_absorption_coefficient at El Arenosillo

description: Measurement of Aerosol_absorption_coefficient at El Arenosillo
DOI: 10.48597/qxp9-b6jx
title: Measurement of Aerosol_absorption_coefficient at El Arenosillo

description: Measurement of Aerosol_absorption_coefficient at El Arenosillo
DOI: 10.48597/u8gh-x2y6
title: Measurement of Aerosol_absorption_coefficient at El Arenosillo

description: Measurement of Aerosol_absorption_coefficient at El Arenosillo
DOI: 10.48597/z896-8xxz
title: Measurement of Aerosol_absorption_coefficient at El Arenosillo

description: Measurement of Aerosol_absorption_coefficient at El Arenosillo
DOI: 10.34808/5whb-dk74
title: Polish-Kashubian parallel translation corpus

description: The dataset contains Polish words and sentences and their translations into Kashubian. The dataset consists of train and test subsets. The train subset contains about 100,000 parallel translations. It was created using two types of sources. The first one is the online dictionaries:

kaszebe.org
sloworz.org
odmiana.net

The second type of source was an existing dataset that was incorporated into this one:

OPUS
Tatoeba Challenge

The dataset was carefully cleaned and duplicates were removed.The test dataset is distributed together with the training dataset. It contains 70 parallel Poish-Kashubian sentences. The sentences were obtained from sources other than the train data to make them reliable.
DOI: 10.48597/rtx8-jn62
title: Measurement of Aerosol_absorption_coefficient at El Arenosillo

description: Measurement of Aerosol_absorption_coefficient at El Arenosillo
DOI: 10.5281/zenodo.14681803
title: AISED Dataset on Cloud DDoS Attacks

description: AISED Dataset is curated from several existing datasets related to DDoS Attacks on Cloud computing infrastructure. All necessary pre-processing analyses have been conducted to clean it from errors and missing data. Therefore, the dataset is ready for deep learning or machine learning analyses.
DOI: 10.2908/tag00123
title: Agricultural holdings by economic size of the farm (Standard Output in Euro)
title: Exploitations agricoles par dimension économique de l'exploitation (production standard en euros)
title: Landwirtschaftliche Betriebe nach wirtschaftlicher Betriebsgröße (Standardoutput in Euro)

description: Total number of agricultural holdings according to their economic output (Standard Output). The standard output is the average monetary value of the agricultural output at farm-gate price, in euro per hectare or per head of livestock. Information is based on censuses and sample surveys.
description: Gesamtzahl der landwirtschaftlichen Betriebe nach wirtschaftlicher Betriebsgröße (Standardoutput in Euro). Der Standardoutput ist der durchschnittliche Geldwert der landwirtschaftlichen Erzeugung zu ab-Hof-Preisen, in Euro je Hektar oder je Stück Vieh. Die Angaben basieren auf Zählungen und Stichprobenerhebungen.
description: Nombre total d'exploitations agricoles par volume de la production standard (PS). La PS est la valeur monétaire moyenne de la production agricole au prix au départ de l'exploitation, en euros par hectare ou par tête de cheptel. Information basée sur recensements et enquêtes par sondage.
DOI: 10.2908/tag00124
title: Agricultural holdings with livestock
title: Exploitations agricoles ayant du cheptel
title: Landwirtschaftliche Betriebe mit Viehbestand

description: Gesamtzahl der landwirtschaftlichen Betriebe nach Viehbestandskategorien. Die Angaben basieren auf Zählungen und Stichprobenerhebungen.
description: Nombre total d'exploitations agricoles par catégories distinctes de cheptel. Information basée sur recensements et enquêtes par sondage.
description: Number of holdings according to distinct livestock categories. Information is based on censuses and sample surveys.
DOI: 10.2908/tag00125
title: Agricultural holdings by age of manager
title: Exploitations agricoles par âge du chef d'exploitation
title: Landwirtschaftliche Betriebe nach Alter des Betriebsleiters

description: Information according to age class of farm manager. The farm manager is the natural person responsible for the normal daily financial and production routines of running the holding.
description: Information sur la classe d'âge du chef d'exploitation. Le chef d'exploitation est la personne physique responsable de la gestion financière courante et quotidienne ainsi que des procédures de production de l'exploitation concernée.
description: Angaben zur Altersklasse des Betriebsleiters. Der Betriebsleiter ist die natürliche Person, die für die laufenden täglichen Finanzierungs- und Produktionstätigkeiten im Rahmen der Betriebsführung verantwortlich ist.
DOI: 10.15156/bio/sh0175299.10fu
title: SH0175299.10FU

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/sh0175300.10fu
title: SH0175300.10FU

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/sh0175301.10fu
title: SH0175301.10FU

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/sh0175302.10fu
title: SH0175302.10FU

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/sh0175303.10fu
title: SH0175303.10FU

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/sh0175304.10fu
title: SH0175304.10FU

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/sh0175305.10fu
title: SH0175305.10FU

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: 10.5281/zenodo.18154843
title: EVALUATION OF FACTORS INFLUENCING CONSTRUCTION WORKS IN SPILLWAY MECHANICAL EXCAVATION USING SEM PLS METHOD
title: EVALUATION OF FACTORS INFLUENCING CONSTRUCTION WORKS IN SPILLWAY MECHANICAL EXCAVATION USING SEM PLS METHOD

description: Large-scale infrastructure construction projects, especially dam construction, are characterized by a high complexity level and risk, particularly in excavation work and spillway mechanical embankment. The success of these vital projects is really crucial in supporting the national development agenda, as reflected in the government's Nawa Cita program. This study aims to evaluate statistically the major factors influencing Project Performance (PP) in spillway mechanical excavation for the Mbay Dam Construction Project in Nagekeo Regency (Package-2), performed by PT Bumi Sekar Indah as a subcontractor. The focus of analysis was on three main exogenous variables: Workforce Competence, Technology Implementation, and Government Policy. This study adopted a quantitative approach using Structural Equation Modeling – Partial Least Squares (SEM-PLS). Data were collected through questionnaires and interviews with 80 respondents who were employees of PT Bumi Sekar Indah, consisting of company management, staff, and operators, during the project period from August to December 2025. PLS-SEM method was chosen because of its ability to model the relationship between complex latent variables and emphasize the predictive power of the model.
DOI: 10.5281/zenodo.18154844
title: EVALUATION OF FACTORS INFLUENCING CONSTRUCTION WORKS IN SPILLWAY MECHANICAL EXCAVATION USING SEM PLS METHOD
title: EVALUATION OF FACTORS INFLUENCING CONSTRUCTION WORKS IN SPILLWAY MECHANICAL EXCAVATION USING SEM PLS METHOD

description: Large-scale infrastructure construction projects, especially dam construction, are characterized by a high complexity level and risk, particularly in excavation work and spillway mechanical embankment. The success of these vital projects is really crucial in supporting the national development agenda, as reflected in the government's Nawa Cita program. This study aims to evaluate statistically the major factors influencing Project Performance (PP) in spillway mechanical excavation for the Mbay Dam Construction Project in Nagekeo Regency (Package-2), performed by PT Bumi Sekar Indah as a subcontractor. The focus of analysis was on three main exogenous variables: Workforce Competence, Technology Implementation, and Government Policy. This study adopted a quantitative approach using Structural Equation Modeling – Partial Least Squares (SEM-PLS). Data were collected through questionnaires and interviews with 80 respondents who were employees of PT Bumi Sekar Indah, consisting of company management, staff, and operators, during the project period from August to December 2025. PLS-SEM method was chosen because of its ability to model the relationship between complex latent variables and emphasize the predictive power of the model.
DOI: 10.15156/bio/sh0175306.10fu
title: SH0175306.10FU

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/sh0175307.10fu
title: SH0175307.10FU

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.