cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5061/dryad.crjdfn379
title: Data and code for: Social phenotype-dependent selection of social environment in wild great and blue tits: An experimental study

description: There is growing evidence that individuals actively assess the match
 between their phenotype and their environment when making habitat choice
 decisions (so-called matching habitat choice). However, to our knowledge,
 no studies have considered how the social environment may interact with
 social phenotype in determining habitat choice, despite habitat choice
 being an inherently social process and growing evidence for individual
 variation in sociability. We conducted an experiment using wild great and
 blue tits to understand how birds integrate their social phenotype and
 social environment when choosing where and how to feed. We used
 programmable feeders to (i) record social interactions and estimate social
 phenotype and (ii) experimentally manipulate the local density experienced
 by birds of differing social phenotype. By tracking feeder usage, we
 estimated how social environment and social phenotype predicted feeder
 choice and feeding behaviour. Both social environment and social phenotype
 predicted feeder usage, but a bird’s decision to remain in a particular
 social environment did not depend on their social phenotype. In contrast,
 for feeding behaviour, responses to the social environment depended on
 social phenotype. Our results provide rare evidence of matching habitat
 choice and shed light on the dependence of habitat choice on
 between-individual differences in social phenotype.
description: We quantified the social phenotypes of wild RFID-tagged great and
 blue tits via social network analysis, with social networks estimated
 using records of visits to RFID feeders in the winter of 2020–2021. We
 then allocated less social and more social birds (i.e. birds with low and
 high weighted degrees) to either a high-density or a low-density feeder at
 their pre-experimental location. We subsequently followed their usage of
 each feeder in the pair to understand whether their choices over where and
 how to feed were predicted by their social phenotype, experimental social
 environment (high vs low density) or a combination of the two, in order to
 understand whether they displayed social phenotype-dependent habitat
 choice.
DOI: 10.5061/dryad.ffbg79czb
title: Interactive effects of arrival date, territory quality and male polyterritorial behaviour on the mating system of the sedge warbler Acrocephalus schoenobaenus – a path analysis

description: Classical models predict that male fitness is based on resources
 monopolized and invested in reproduction, and/or on individual quality
 providing offspring with sexually attractive traits or viable genes.
 However, these factors are frequently correlated, making their relative
 influence on male fitness difficult to describe and quantify. We analysed
 the relative influence of the main features of the sedge warbler's
 (Acrocephalus schoenobaenus) breeding system, i.e. age, arrival date,
 territory quality, male sexual activity (song and polyterritorial
 behaviour), on males' mating success, fledging success and local
 recruitment. Results show that this species’ breeding system involves
 three main paths: (1) earlier-arriving males have higher mating success,
 regardless of territory quality, (2) the quality of territories pre-empted
 by earlier males directly influences recruitment, and (3) mating success
 is influenced by male sexual activity (polyterritorial behaviour), but an
 additional territory also affects recruitment directly. As arrival date
 plays a significant role in all the paths, the whole system seems to
 depend on male quality; although the benefits accruing to male fitness are
 obtained not only through sexual selection but also through resource
 monopolization.
DOI: 10.5061/dryad.3ffbg79n3
title: Data for: Strong effects of food quality on host life history do not scale to impact parasitoid efficacy or life history

description: Parasitoids are small insects, (e.g., small wasps or flies) that reproduce
 by laying eggs on or within host arthropods. Parasitoids make up a large
 proportion of the world’s biodiversity and are popular agents of
 biological control. Idiobiont parasitoids paralyze their hosts upon attack
 and thus are expected to only target hosts large enough to support
 offspring development. Host resources generally impact host attributes and
 life histories including size, development, and life span. Some argue slow
 host development in response to resource quality increases parasitoid
 efficacy (i.e., a parasitoid’s ability to successfully reproduce on or
 within a host) due to longer host exposure to parasitoids. However, this
 hypothesis is not always supported and does not consider variation in
 other host traits in response to resources that may be important for
 parasitoids (e.g., variation in host size is known to impact parasitoid
 efficacy). In this study, we test whether trait variation within host
 developmental stages in response to host resources is more important for
 parasitoid efficacy and life histories than trait variation across host
 developmental stages. We exposed seed beetle hosts raised on a food
 quality gradient to mated female parasitoids and measured the number of
 hosts parasitized and parasitoid life history traits at the scale of host
 stage- and age-structure. Our results suggest host food quality does not
 cascade to impact idiobiont parasitoid life histories despite large food
 quality effects on host life history. Instead, variation in host life
 histories across host developmental stages better predicts parasitoid
 efficacy and life histories, suggesting finding a host in a specific
 instar is more important for idiobiont parasitoids than finding hosts on
 or within higher quality resources.
DOI: 10.5061/dryad.jwstqjqd1
title: Urban soil quality is being deteriorated even with low heavy metal levels: An arthropod-based multi-indices approach

description: Urban-induced habitat conversion drastically changes soil life in a
 variety of ways. Soil sealing, human disturbance, habitat fragmentation,
 industrial and vehicular pollution are the main causes of urban soil
 degradation. Soil arthropods, as the most abundant and diverse group of
 soil fauna, are involved in many soil processes that are of great
 importance in maintaining soil health and multifunctionality.
 Nevertheless, soil quality is still mainly characterized by physical,
 chemical, and microbiological parameters. Here, we assessed and compared
 the biological soil quality in woody (REF: reference forest, REM: remnant
 forest) and non-woody (TURF: public turfgrass, and RUD: ruderal habitat)
 types of urban green spaces along a disturbance and management intensity
 gradient in the Budapest metropolitan area (Hungary), using community
 metrics and soil arthropod-based indicators. Vegetation cover and
 landscape characteristics of study sites were quantified through
 vegetation and urbanization indices, respectively. Basic soil properties,
 total and bioavailable concentrations of the main heavy metals (Cd, Co,
 Hg, Ni, Zn) were also measured. Acari, Collembola, and Hymenoptera (mainly
 Formicidae) were the most abundant groups. Litter-dweller taxa,
 particularly Protura, proved to be the most sensitive to urban
 disturbance. Representatives of Hemiptera, Diptera, Symphyla, and
 Pauropoda were common in low densities. Soil arthropod assemblages in RUD
 and TURF were more diverse taxonomically than in REM and REF sites.
 Although the integrated faunal indices showed no differences among soil
 habitat types, they provided different responses and, consequently,
 different information. Our findings demonstrated that the biological
 quality and arthropod community structure of soils were strongly impacted
 by soil C/N and heavy metal contamination. We found that low and moderate
 levels of pollution have adverse effects on edaphic fauna, suggesting
 biological degradation of soils, even below pollution limits.
 Nevertheless, more disturbed urban green spaces have been shown to play a
 significant role in maintaining belowground biodiversity, thereby soil
 functions.
DOI: 10.5281/zenodo.15118022
title: Test Annotations for Quality Evaluation of the DaRA Dataset – Annotated and Revised Video Data with Activity and Context Labels

description: The dataset presented here comprises the test annotations of the DaRA dataset (DOI: 10.5281/zenodo.10468175). These data were employed for the training of annotators and revisers, as well as for the assessment of the dataset’s overall label quality.

The dataset includes the following components:



RGB video recordings,

labeled test annotations (CSV),

revised labeled test annotations (CSV), and

scheme files for the annotation Tool SARA.


All files are organized according to the 12 class categories (CC). A detailed description of these categories is provided in the DaRA dataset and in the associated journal article describing DaRA.

If you use this dataset for research, please cite this dataset and the following paper: "DaRA Dataset: Combining Wearable Sensors, Location Tracking, and Process Knowledge for Enhanced Human Activity and Human Context Recognition in Warehousing", MDPI Sensors, 2026, DOI: 10.3390/s26020739

The annotation tool SARA, used for test annotations and revising the test annotations, is available as part of the LARa dataset (DOI: 10.5281/zenodo.8189341). Utilizing the provided scheme files, both the test annotations and the revised test annotations can be imported, visualized, and modified within the SARA annotation environment in conjunction with the corresponding RGB video data.
description: The dataset DaRA is available on Zenodo, DOI: 10.5281/zenodo.10468175.

A detailed description of the dataset DaRA can be found in the following paper: “DaRA Dataset: Combining Wearable Sensors, Location Tracking, and Process Knowledge for Enhanced Human Activity and Human Context Recognition in Warehousing”, MDPI Sensors 2026, DOI: 10.3390/s26020739
DOI: 10.5281/zenodo.15118021
title: Test Annotations for Quality Evaluation of the DaRA Dataset – Annotated and Revised Video Data with Activity and Context Labels

description: The dataset presented here comprises the test annotations of the DaRA dataset (DOI: 10.5281/zenodo.10468175). These data were employed for the training of annotators and revisers, as well as for the assessment of the dataset’s overall label quality.

The dataset includes the following components:



RGB video recordings,

labeled test annotations (CSV),

revised labeled test annotations (CSV), and

scheme files for the annotation Tool SARA.


All files are organized according to the 12 class categories (CC). A detailed description of these categories is provided in the DaRA dataset and in the associated journal article describing DaRA.

If you use this dataset for research, please cite this dataset and the following paper: "DaRA Dataset: Combining Wearable Sensors, Location Tracking, and Process Knowledge for Enhanced Human Activity and Human Context Recognition in Warehousing", MDPI Sensors, 2026, DOI: 10.3390/s26020739

The annotation tool SARA, used for test annotations and revising the test annotations, is available as part of the LARa dataset (DOI: 10.5281/zenodo.8189341). Utilizing the provided scheme files, both the test annotations and the revised test annotations can be imported, visualized, and modified within the SARA annotation environment in conjunction with the corresponding RGB video data.
description: The dataset DaRA is available on Zenodo, DOI: 10.5281/zenodo.10468175.

A detailed description of the dataset DaRA can be found in the following paper: “DaRA Dataset: Combining Wearable Sensors, Location Tracking, and Process Knowledge for Enhanced Human Activity and Human Context Recognition in Warehousing”, MDPI Sensors 2026, DOI: 10.3390/s26020739
DOI: 10.5061/dryad.kwh70rz6w
title: Multiple Doris kerguelenensis (Nudibranchia) species span the Antarctic polar front

description: Despite strong historical biogeographical links between benthic faunal
 assemblages of the Magellan region of South America and the Antarctic
 Peninsula, very few studies have documented contemporary movement and gene
 flow in or out of the Southern Ocean, especially across the Antarctic
 Polar Front (APF). In fact, oceanographic barriers such as the APF and
 Antarctica’s long geologic isolation have substantially separated the
 continents and facilitated the evolution of endemic marine taxa found
 within the Antarctic region. The Southern Ocean benthic sea slug complex,
 Doris ‘kerguelenensis’, are a group of direct-developing, simultaneous
 hermaphrodites that lack a dispersive larval stage. To date, there are 59
 highly divergent species known within this complex. Here we provide
 evidence to show intraspecific genetic connectivity occurs across the
 Antarctic Polar Front for multiple species within the Doris
 ‘kerguelenensis’ nudibranch species complex. We addressed questions of
 genetic connectivity by examining the phylogeographic structure of the
 three best-sampled Doris ‘kerguelenensis’ species and another three
 trans-Antarctic Polar Front species using the protein coding mtDNA gene,
 Cytochrome Oxidase I. We also highlight alternative refugia uses among
 species with the same life history traits (i.e., benthic, direct
 developers) and for some species, extremely large distributions are
 established (e.g., circumpolarity). By improving our sampling of these
 nudibranchs, we gain better insight into the population structure and
 connectivity of the Antarctic region. This work also demonstrates how
 difficult it is to make generalisations across Antarctic marine species,
 even among ecologically-similar, closely-related species.
DOI: 10.5281/zenodo.18397803
title: Flexible Assembly Scheduling Dataset

description: This dataset contains anonymized benchmark instances and experimental results used for the evaluation of scheduling algorithms in the context of assembly scheduling.

The data were generated during computational experiments designed to compare multiple heuristic and metaheuristic approaches for solving assembly scheduling problems, including transformed variants of established benchmark datasets (e.g., Hurink V-data) and  two-stage multi-machine assembly scheduling problem.

The dataset includes detailed instance descriptions  and performance metrics, such as makespan and computational runtime, for several scheduling strategies. Each instance description is provided in a JSON format with the following structure:



{  "name": string, # short product name - not used  "code": string, # product code - not used  "pname": string, #l ong product name - not used  "operationid": integer,# operation unique identifier  "productid": integer, # real product id reference - not used  "parentid": null, # parent opperation  "start_date": string, # release date e.g. 2022-08-20 00:00:00.000000   "delivery_date": string, # due date e.g. 2022-09-01 00:00:00.000000"  "quantity": integer, # quantity to be produced  "machines": [ # list of machines where the operation can be executed    {      "id": integer, # machine identifier      "name": string, # machine name      "execution_time": integer, # machine execution time for a unit ofproduct      "setup_time": integer, # machine setuptime for current opreration      "oee": real, # Overall Equipment Effectiveness - real value between in [0,1] - not used    }  ],  "metainfo": {    "operations_list": [ #contais the operations IDs    ],    "machines_list": [ #contais the machine IDs    ],    "maintenances": [ #list of maintenance interval - not used      {        "id": integer, # maintenance ID        "machineid": integer, # machine ID on which the maintenances is scheduled        "start_date": string, # maintenances start time e.g. 2022-08-25 14:00:00.000000        "end_date": string, # maintenances stop time e.g. 2022-08-25 15:00:00.000000      },    ]  },  "children": [ # list of operation succesors     {      "name": string, # short product name - not used      "code": string, # product code - not used      "pname": string, #l ong product name - not used      "operationid": integer,# operation unique identifier      "productid": integer, # real product id reference - not used      "parentid": null, # parent opperation      "quantity": integer, # quantity to be produced      "machines": [  # list of machines where the operation can be executed      ]  ]}


The dataset is intended to support the reproducibility of experimental results and to facilitate further comparative studies in scheduling and combinatorial optimization.
DOI: 10.5281/zenodo.18397804
title: Flexible Assembly Scheduling Dataset

description: This dataset contains anonymized benchmark instances and experimental results used for the evaluation of scheduling algorithms in the context of assembly scheduling.

The data were generated during computational experiments designed to compare multiple heuristic and metaheuristic approaches for solving assembly scheduling problems, including transformed variants of established benchmark datasets (e.g., Hurink V-data) and  two-stage multi-machine assembly scheduling problem.

The dataset includes detailed instance descriptions  and performance metrics, such as makespan and computational runtime, for several scheduling strategies. Each instance description is provided in a JSON format with the following structure:



{  "name": string, # short product name - not used  "code": string, # product code - not used  "pname": string, #l ong product name - not used  "operationid": integer,# operation unique identifier  "productid": integer, # real product id reference - not used  "parentid": null, # parent opperation  "start_date": string, # release date e.g. 2022-08-20 00:00:00.000000   "delivery_date": string, # due date e.g. 2022-09-01 00:00:00.000000"  "quantity": integer, # quantity to be produced  "machines": [ # list of machines where the operation can be executed    {      "id": integer, # machine identifier      "name": string, # machine name      "execution_time": integer, # machine execution time for a unit ofproduct      "setup_time": integer, # machine setuptime for current opreration      "oee": real, # Overall Equipment Effectiveness - real value between in [0,1] - not used    }  ],  "metainfo": {    "operations_list": [ #contais the operations IDs    ],    "machines_list": [ #contais the machine IDs    ],    "maintenances": [ #list of maintenance interval - not used      {        "id": integer, # maintenance ID        "machineid": integer, # machine ID on which the maintenances is scheduled        "start_date": string, # maintenances start time e.g. 2022-08-25 14:00:00.000000        "end_date": string, # maintenances stop time e.g. 2022-08-25 15:00:00.000000      },    ]  },  "children": [ # list of operation succesors     {      "name": string, # short product name - not used      "code": string, # product code - not used      "pname": string, #l ong product name - not used      "operationid": integer,# operation unique identifier      "productid": integer, # real product id reference - not used      "parentid": null, # parent opperation      "quantity": integer, # quantity to be produced      "machines": [  # list of machines where the operation can be executed      ]  ]}


The dataset is intended to support the reproducibility of experimental results and to facilitate further comparative studies in scheduling and combinatorial optimization.
DOI: 10.5061/dryad.gqnk98srw
title: Ecological impacts of unsustainable sand mining: Urgent lessons learned from a critically endangered freshwater cetacean

description: Sand production, tripled in the last two decades, is an emerging concern
 for global biodiversity. However, the paucity of sand mining data
 worldwide prevents understanding the extent of sand mining impacts and how
 it affects wildlife populations and ecosystems, which is critical for
 timely mitigation and conservation actions. Integrating remote sensing and
 field surveys over fourteen years, we investigated mining impacts on the
 critically endangered Yangtze finless porpoise (Neophocaena
 asiaeorientalis asiaeorientalis) in Dongting Lake, China. We found that
 sand mining presented a consistent, widespread disturbance in Dongting
 Lake. The porpoise strongly avoided mining sites, especially the areas
 subjected to higher mining intensity. The extensive sand mining
 significantly contracted the porpoise’s range and restricted their habitat
 use in the lake. Water traffic for sand transportation further blocked the
 species’ river-lake movements, affecting the population connectivity. In
 addition, mining-induced loss of nearshore habitats, a critical foraging
 and nursery ground for the porpoise, occurred in nearly 70% of the water
 channels of our study region. Our findings provide the first empirical
 evidence on the impacts of unregulated sand extractions on species
 distribution. Our spatiotemporally explicit approach and findings can
 support regulation and conservation, yielding broader implications for
 sustainable sand mining worldwide. This dataset contains (1) sand mining
 information from 2006–2019 in Dongting Lake, (2) data of porpoise
 distributions from nine range-wide surveys from 2006–2019, (3) water
 traffic information at the outlet channel of Dongting Lake from 2001–2019,
 (4) data of the lake morphology from 2006–2019, (5) codes for all data
 analyses.
description: Sand dredgers and sand barges were identified using Landsat 5
 Thematic Mapper (TM), Landsat 7 Enhanced Thematic Mapper-plus (ETM+), and
 Landsat 8 Operational Land Imager (OLI) orthorectified top-of-atmosphere
 (TOA) reflectance images. The identification process was performed on
 Google Earth Engine. Locations and acquired dates of the identified sand
 dredgers/barges were extracted and transferred to a geographical
 information system for further analysis (GIS, ArcMap 10.3). 
 The porpoise distribution data was compiled from nine lake-wide
 surveys conducted from 2006 to 2019. Sighting records with geographic
 information were used for analysis in this study.
description: ArcGIS or similar softwares are required to open raster data
 (TIFF files) and vector data (shapefiles). Codes for data analysis were
 written in R.
DOI: 10.5061/dryad.bnzs7h4dx
title: Dataset for: Buckling of lipidic ultrasound contrast agents under quasi-static load

description: Collapse of lipidic ultrasound contrast agents under high-frequency
 compressive load has been historically interpreted by the vanishing of
 surface tension. By contrast, buckling of elastic shells is known to occur
 when costly compressible stress is released through bending. Through
 quasi-static compression experiments on lipidic  shells, we
 analyze the buckling events in the framework of classical elastic buckling
 theory and deduce the mechanical characteristics of these shells. They are
 then compared to that obtained through acoustic characterization.
description: Dataset where collected 1) regarding shell
 shape parameters, by image analysis of microshells under
 microscope. 2) regarding pressure in the chamber, by
 direct recording of the pressure values given by the sensor
 See section experimental methods.