cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.28093563
title: Exploiting travel sequences to optimise facility layouts with multiple input/output points

description: The facility layout problem (FLP) involves arranging departments on a shop floor to optimise specific objectives, traditionally focussing on pairwise flows between departments. However, these methods often underestimate total travel distances, especially when flows involve multiple input/output points and visits to more than two departments. To address this, connected movements – actual routes taken by transporters – must be considered. This study uses data captured from an Internet of Things (IoT) network and stored on cloud servers to analyze worker movements and accurately calculate travel distances. A mixed-integer programming model is proposed to minimise total travel distance using connected movements as input. Due to the problem's complexity, a biased random key genetic algorithm is employed to find optimal layouts. A case study at a fertiliser production company demonstrates the effectiveness of the approach, achieving a 15% reduction in travel distance compared to layouts generated by traditional methods. The IoT-enabled method also minimises productivity losses by optimising worker movements. While the study focuses on fertiliser manufacturing, the findings are applicable to other settings, such as warehousing, where complex movement sequences and multiple IO points are common in processes like picking, packing, and shipping.
DOI: 10.6084/m9.figshare.28093563.v1
title: Exploiting travel sequences to optimise facility layouts with multiple input/output points

description: The facility layout problem (FLP) involves arranging departments on a shop floor to optimise specific objectives, traditionally focussing on pairwise flows between departments. However, these methods often underestimate total travel distances, especially when flows involve multiple input/output points and visits to more than two departments. To address this, connected movements – actual routes taken by transporters – must be considered. This study uses data captured from an Internet of Things (IoT) network and stored on cloud servers to analyze worker movements and accurately calculate travel distances. A mixed-integer programming model is proposed to minimise total travel distance using connected movements as input. Due to the problem's complexity, a biased random key genetic algorithm is employed to find optimal layouts. A case study at a fertiliser production company demonstrates the effectiveness of the approach, achieving a 15% reduction in travel distance compared to layouts generated by traditional methods. The IoT-enabled method also minimises productivity losses by optimising worker movements. While the study focuses on fertiliser manufacturing, the findings are applicable to other settings, such as warehousing, where complex movement sequences and multiple IO points are common in processes like picking, packing, and shipping.
DOI: 10.15468/dl.wtdebv
title: Occurrence Download

description: A dataset containing 11670 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Telebasis",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 11670 records from 108 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002924-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.14278/rodare.4516
title: proteinNet3D

description: ProteinNet3D is a curated large-scale dataset of 3D macromolecular density volumes designed to support representation learning and benchmarking in structural biology. The dataset is derived from the publicly available Electron Microscopy Data Bank (EMDB), a comprehensive repository of experimentally determined cryo-electron microscopy (cryo-EM) maps spanning diverse macromolecules, molecular assemblies, and subcellular structures.

ProteinNet3D focuses specifically on individual macromolecules resolved by single-particle analysis (SPA) or subtomogram averaging (STA), ensuring methodological consistency across samples. To emphasize biologically meaningful structures while avoiding extreme cases, entries were restricted to a molecular weight range of 100–1500 kDa. This criterion excludes small domains and excessively large complexes, resulting in a dataset well-suited for learning size-robust structural representations.

All volumes are standardized through isotropic resampling, spatial normalization to a fixed grid (64³ voxels), and intensity normalization to zero mean and unit variance. Background regions are masked using annotated contour levels to reduce noise contributions. To enhance diversity and rotational invariance, each structure is augmented with multiple random 3D rotations.

Overall, ProteinNet3D comprises 26,110 processed samples and captures substantial structural heterogeneity, experimental variability, and realistic noise characteristics, making it a rigorous benchmark for 3D deep learning in cryo-EM.
DOI: 10.14278/rodare.4515
title: proteinNet3D

description: ProteinNet3D is a curated large-scale dataset of 3D macromolecular density volumes designed to support representation learning and benchmarking in structural biology. The dataset is derived from the publicly available Electron Microscopy Data Bank (EMDB), a comprehensive repository of experimentally determined cryo-electron microscopy (cryo-EM) maps spanning diverse macromolecules, molecular assemblies, and subcellular structures.

ProteinNet3D focuses specifically on individual macromolecules resolved by single-particle analysis (SPA) or subtomogram averaging (STA), ensuring methodological consistency across samples. To emphasize biologically meaningful structures while avoiding extreme cases, entries were restricted to a molecular weight range of 100–1500 kDa. This criterion excludes small domains and excessively large complexes, resulting in a dataset well-suited for learning size-robust structural representations.

All volumes are standardized through isotropic resampling, spatial normalization to a fixed grid (64³ voxels), and intensity normalization to zero mean and unit variance. Background regions are masked using annotated contour levels to reduce noise contributions. To enhance diversity and rotational invariance, each structure is augmented with multiple random 3D rotations.

Overall, ProteinNet3D comprises 26,110 processed samples and captures substantial structural heterogeneity, experimental variability, and realistic noise characteristics, making it a rigorous benchmark for 3D deep learning in cryo-EM.
DOI: 10.6084/m9.figshare.30016294
title: Dataset for "Geological regulation of nitrous oxide emission risks in rivers globally"

description: Dataset for "Geological regulation of nitrous oxide emission risks in rivers globally"
DOI: 10.6084/m9.figshare.30016294.v1
title: Dataset for "Geological regulation of nitrous oxide emission risks in rivers globally"

description: Dataset for "Geological regulation of nitrous oxide emission risks in rivers globally"
DOI: 10.15468/dl.s4wr5q
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "DistanceFromCentroidInMeters is greater than or equal to 2000",
 "TaxonKey is Caulolatilus guppyi"
 ]
}

 The dataset includes 16 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002928-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.23668/psycharchives.21684
title: Datasets, Codebooks, and original items for "The sharing mindset: Developing a scale to assess consumers' readiness to share"

description: This study was done to create a tool to measure how ready consumers are to share in a general sense, meaning their tendency to both use a variety of different sharing options and also to offer their own items for sharing. The goal was to create a scale that could enhance our understanding of motivations for sharing and categorize the diverse ways people share from a consumer's perspective. The datasets contain anonymous data from n = 289 participants used for Exploratory Factor Analysis (Study 2) and n = 164 participants used for Confirmatory Factor Analysis (Study 3), both with corresponding codebooks. Included is also a list of all items in German with their English translations.
DOI: 10.15468/dl.995pk9
title: Occurrence Download

description: A dataset containing 21536 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Amanita vaginata"
 ]
}

 The dataset includes 21536 records from 388 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002927-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xr3q78
title: Occurrence Download

description: A dataset containing 30182 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Amaranthus albus"
 ]
}

 The dataset includes 30182 records from 761 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002929-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8hagz7
title: Occurrence Download

description: A dataset containing 132 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((11.87349 59.80897,10.6871 60.03201,5.40052 59.63339,6.73403 55.03967,13.4158 55.71354,11.87349 59.80897))",
 "OccurrenceStatus is Present",
 "TaxonKey is Gracilaria vermiculophylla"
 ]
}

 The dataset includes 132 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002930-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y4de99
title: Occurrence Download

description: A dataset containing 12624 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Leegaardiella",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 12624 records from 87 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002931-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.duxc8m
title: Occurrence Download

description: A dataset containing 145 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is CHN.29_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Fulvetta vinipectus"
 ]
}

 The dataset includes 145 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002932-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mbhdzb
title: Occurrence Download

description: A dataset containing 575555 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "Geometry POLYGON((-167.08034 -50.50299,-165.58208 -49.4587,-163.87235 -48.04211,-162.7889 -46.99474,-162.02436 -46.17125,-161.0656 -44.86441,-160.21405 -43.65161,-159.38674 -42.42215,-158.58401 -41.1765,-157.67502 -39.69681,-156.92674 -38.41771,-156.20402 -37.124,-155.01196 -34.84709,-154.36051 -33.51606,-153.73563 -32.17236,-152.72437 -29.8348,-151.84216 -27.5942,-151.39533 -26.50665,-150.68377 -24.73348,-149.83279 -22.54134,-149.4176 -21.44133,-148.69511 -19.47557,-147.91005 -17.25896,-147.14188 -15,-146.4234 -12.79717,-146.06921 -11.67602,-145.51924 -9.88468,-144.85438 -7.62911,-144.09105 -5.63648,-143.35683 -3.51619,-142.82431 -1.81575,-142.44718 -0.505,-142.01586 1.13306,-141.52203 3.25415,-141.29017 4.37435,-141.01572 5.84487,-140.69333 7.86515,-140.48333 9.45726,-140.34797 10.68174,-140.28144 11.95258,-140.238 13.20168,-140.21396 14.83767,-140.23743 16.92816,-140.28959 18.3816,-140.37114 19.83368,-140.55953 22.12106,-140.71666 23.56692,-140.9017 25,-141.23711 27.16508,-141.49612 28.59621,-141.77939 30,-142.1007 31.44128,-142.44602 32.85406,-142.81984 34.25957,-143.17421 35.70107,-143.7137 37.79174,-144.28159 39.87487,-145.02159 42.43528,-145.65255 44.50018,-146.06115 45.78631,-146.73761 47.83676,-147.44192 49.87781,-147.83882 50.9899,-148.58593 53.01568,-149.34835 55,-149.77065 56.06613,-150.74269 58.43872,-151.37631 59.92898,-152.16345 61.91945,-152.925 63.48979,-153.78719 65,-155.56853 67.53722,-156.70034 68.86574,-157.98511 70,-160.12148 71.58476,-162.2078 72.83323,-165.5642 74.33376,-167.08034 -50.50299))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Charadriiformes",
 "Year 2015-2024"
 ]
}

 The dataset includes 575555 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002897-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fucyym
title: Occurrence Download

description: A dataset containing 62902 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Acridotheres tristis",
 "Year 1980-1995"
 ]
}

 The dataset includes 62902 records from 51 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002888-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nq8u48
title: Occurrence Download

description: A dataset containing 343 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "DistanceFromCentroidInMeters is greater than or equal to 2000",
 "TaxonKey is Caulolatilus intermedius"
 ]
}

 The dataset includes 343 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002934-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hz3efk
title: Occurrence Download

description: A dataset containing 323 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Lecanora carpinea)",
 "Country is one of (Norway)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "CoordinateUncertaintyInMeters is less than or equal to 1000",
 "Year is greater than or equal to 1986",
 "Year is less than or equal to 2025",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 },
 {
 "not" : {
 "BasisOfRecord" : [
 "is Machine Observation"
 ]
 }
 }
 ]
}

 The dataset includes 323 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024382-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.31354039
title: From niche to mainstream? Marketing for sheep and goat meat – how food involvement makes a difference among consumers in Germany

description: Our study explores how consumers differ in their interest in sheep and goat meat and whether this affects their perception and consumption rate. In an online survey of 876 German consumers, we examined people’s views, taste preferences, and emotional connections to sheep and goat meat. The results show that taste is the most important factor shaping the level of food involvement, followed by emotional attachment and personal beliefs. A small group of consumers, called Supporters (26.3%), enjoy eating sheep and goat meat, have positive views of these farming practices, and are highly engaged with these foods. Most consumers, however, belong to larger groups with lower interest and weaker involvement. Overall, the findings suggest that people are more likely to choose sustainable foods when they feel a personal connection to them, which can be encouraged through targeted communication.
DOI: 10.6084/m9.figshare.31354039.v1
title: From niche to mainstream? Marketing for sheep and goat meat – how food involvement makes a difference among consumers in Germany

description: Our study explores how consumers differ in their interest in sheep and goat meat and whether this affects their perception and consumption rate. In an online survey of 876 German consumers, we examined people’s views, taste preferences, and emotional connections to sheep and goat meat. The results show that taste is the most important factor shaping the level of food involvement, followed by emotional attachment and personal beliefs. A small group of consumers, called Supporters (26.3%), enjoy eating sheep and goat meat, have positive views of these farming practices, and are highly engaged with these foods. Most consumers, however, belong to larger groups with lower interest and weaker involvement. Overall, the findings suggest that people are more likely to choose sustainable foods when they feel a personal connection to them, which can be encouraged through targeted communication.
DOI: 10.7910/dvn/57cgx5
title: Replication Data for: Political Bias in College Student Access to Campus Resources

description: Replication data for Political Bias in College Student Access to Campus Resources, Study One: Political Bias in the Formation of Registered Student Organizations and Study Two: Political Bias in Access to Space to Host Guest Speakers on Campus
DOI: 10.6084/m9.figshare.29950388
title: Adaptive radiation during long-term experimental evolution of the multicellular bacterium, <i>Streptomyces</i>

description: Adaptive radiation of a single lineage into novel ecological niches underpins the evolution of biodiversity. To study adaptation in the industrially and ecologically important bacterium <i>Streptomyces, </i>a long-term evolution experiment (LTEE) was undertaken in a strain lacking several antibiotic biosynthetic gene clusters, facilitating the study of epistasis in antibiotic biosynthesis. <i>Streptomyces coelicolor </i>is a filamentous soil organism that does not undergo sporulation under the LTEE conditions, affording the opportunity to study adaptation under relaxed selection on sporulation. Over 3000 generations, replicate populations showed parallel loss of sporulation, morphological transitions to fragmenting hyphae and diversification in carbon source utilisation. Genomic analyses revealed mutations in developmental and metabolic genes, while reintroduction of the actinorhodin cluster demonstrated pervasive negative epistasis affecting antibiotic production. These findings reveal adaptive diversification and antagonistic interactions in regulatory pathways under relaxed selection, providing insights into the evolution of complex multicellular bacteria and informing industrial antibiotic production strategies.<br>Code associated with the Streptomyces LTEE is here https://github.com/PaulHoskisson/StreptomycesLTEE/tree/main<br><br>
DOI: 10.6084/m9.figshare.29950388.v2
title: Adaptive radiation during long-term experimental evolution of the multicellular bacterium, <i>Streptomyces</i>

description: The rapid diversification of a single lineage into novel ecological niches underpins evolution of biodiversity, with adaptive radiations being important drivers of ecological diversity across the tree of life. Experimental evolution has revolutionised our understanding of the fundamental ecological and evolutionary processes in adaptation. To study adaptation in the industrially and ecologically important bacterium <i>Streptomyces, </i>a long-term evolution experiment (LTEE) was undertaken in a strain lacking several antibiotic biosynthetic gene clusters (BGCs), facilitating the study of epistasis in antibiotic biosynthesis. <i>Streptomyces coelicolor </i>is a filamentous soil organism that does not undergo sporulation under the LTEE conditions, affording the opportunity to study adaptation under relaxed selection on sporulation. Replicate populations showed parallel loss of sporulation and major morphological shifts in terms of hyphal growth and aggregate formation, where fragmenting hyphae became the dominant phenotype. Catabolic diversification was also evident across the replicate populations with extensive growth rate changes relative to the progenitor across several nutrient sources, where there is evidence for both antagonistic pleiotropy and mutation accumulation. Negative epistasis was predominant in antibiotic biosynthesis in strains from the LTEE. This system provides a foundation for studying diversification and adaption to a novel environment in a physiologically and morphologically complex organism.Code associated with the Streptomyces LTEE is here https://github.com/PaulHoskisson/StreptomycesLTEE/tree/main<br><br>
DOI: 10.6084/m9.figshare.29950388.v3
title: Adaptive radiation during long-term experimental evolution of the multicellular bacterium, <i>Streptomyces</i>

description: Adaptive radiation of a single lineage into novel ecological niches underpins the evolution of biodiversity. To study adaptation in the industrially and ecologically important bacterium <i>Streptomyces, </i>a long-term evolution experiment (LTEE) was undertaken in a strain lacking several antibiotic biosynthetic gene clusters, facilitating the study of epistasis in antibiotic biosynthesis. <i>Streptomyces coelicolor </i>is a filamentous soil organism that does not undergo sporulation under the LTEE conditions, affording the opportunity to study adaptation under relaxed selection on sporulation. Over 3000 generations, replicate populations showed parallel loss of sporulation, morphological transitions to fragmenting hyphae and diversification in carbon source utilisation. Genomic analyses revealed mutations in developmental and metabolic genes, while reintroduction of the actinorhodin cluster demonstrated pervasive negative epistasis affecting antibiotic production. These findings reveal adaptive diversification and antagonistic interactions in regulatory pathways under relaxed selection, providing insights into the evolution of complex multicellular bacteria and informing industrial antibiotic production strategies.<br>Code associated with the Streptomyces LTEE is here https://github.com/PaulHoskisson/StreptomycesLTEE/tree/main<br><br>
DOI: 10.5281/zenodo.17011827
title: Mount Adora Epilepsy EEG Dataset: Clinical Recordings for Seizure Detection Studies

description: This  is a  EEG dataset of 212  epileptic-Normal patients. 101 of them are females, 111 of them are males. From the 110 of the EEG data(50 from female, 60 from male). Rest of the patients are non epileptic. In this dataset two folder was given. One of the folder is " Raw EEG" which contains Unprocessed EEG Data. For raw EEG signal, total number of channel is 23, two of them are NON EEG.Sampling Frequency is 128 Hz.Actual Cleaned and preprocessed EEG data is given to another folder called"Final cleaned". For preprocessing, we first rename channel name based on the standard. Then we remove Two Non EEG channel: EKG and MK. Then we use bandpass filter and ICA to remove all the artifact.All the epileptic spike is given to another csv file name "Epilpetic Spike Duration"