cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.10843663
title: MAD Benchmark

description: Mechanistic Architecture Design (in-short "MAD") represents a simple framework to accelerate the deep learning architecture design process. MAD uses simple synthetic tasks that can be implemented quickly and without much compute to predict how well new candidate architectures will perform at scale in sequence modeling. Each synthetic task is specifically designed to probe skills of a model relevant for squence modeling, such as compression and recall.

Here, we host a set of benchmark datasets for MAD. For more details, see our accompanying GitHub repository: github.com/athms/mad-lab
DOI: 10.21227/kg7p-en84
title: IIoT EL Expt Data

description: This paper focuses on advancements in predictive maintenance driven by artificial intelligence (AI), machine learning (ML), and the Internet of Things (IoT). It explores applications in the predictive maintenance in industries, aiming to provide a comprehensive understanding of current methodologies and future prospects. The discussion focuses on predictive maintenance methodologies, highlighting strengths, limitations, challenges, and opportunities. It also evaluates machine learning libraries and traditional algorithms, emphasizing the importance of choosing frameworks based on project requirements and efficiency considerations. Additionally, a comparison of algorithms, including K-Neighbors, Support Vector Machine, and Random Forest, is conducted, with the Random Forest model being chosen for further analysis. The provided Python codes demonstrate data analysis and prediction using a RandomForestClassifier model, giving understanding of feature importance and dataset characteristics. The findings have implications for various real-world applications, suggesting avenues for further research, such as advanced feature engineering, hyperparameter tuning, ensemble learning, and time-series analysis techniques to enhance predictive modeling performance.
DOI: 10.6084/m9.figshare.23736891
title: A dataset for soil organic carbon in agricultural systems for the Southeast Asia region

description: Authors:<br>Federico Gomez<sup>1</sup>*, Ana Carcedo<sup>1</sup>, Chan Makara Mean<sup>2</sup>, Manuel Reyes<sup>3</sup>, Lyda Hok<sup>4</sup>, Florent Tivet<sup>5</sup>, Vang Seng<sup>6</sup>, P. V. Vara Prasad<sup>1</sup>, Shopie Manson<sup>7</sup>, K. A. I. Nekaris<sup>7</sup>, Eva Lehndorff<sup>8</sup>, Thilde Bech Bruun<sup>9</sup>, Catherine M. Hepp<sup>10</sup>, Ryusuke Hatano<sup>11</sup>, Auldry Chaddy<sup>12</sup>, Pham Thi Thu Huong<sup>13</sup>, Selva Dhandapani<sup>14</sup>, Katharina Maria Keiblinger<sup>15</sup>, Rizki Maftukhah<sup>16</sup>, Zar Ni Zaw<sup>17</sup>, Sota Tanaka<sup>18</sup>, and Ignacio Ciampitti<sup>1</sup>*<br><sup>1</sup>. Department of Agronomy, Kansas State University, Manhattan, Kansas, US.<br><sup>2</sup>. Faculty of Agricultural Biosystems Engineering, Royal University of Agriculture, Phnom Penh, Cambodia.<sup>3</sup>. Sustainable Intensification Innovation Lab, and Department of Agronomy, Kansas State University, Manhattan, Kansas, US.<br><sup>4</sup>. Center of Excellence on Sustainable Agricultural Intensification and Nutrition, Royal University of Agriculture, Phnom Penh, Cambodia.<sup>5</sup>. CIRAD, UPR AIDA, Univ Montpellier, Montpellier, France. Agroecology for South-East Asia.<br><sup>6</sup>. Department of Agricultural Land Resources Management, Phnom Penh, Cambodia.<br><sup>7</sup>. School of Humanities and Social Sciences, Oxford Brookes University, Oxford, United Kingdom.<br><sup>8</sup>. Soil Ecology, Universität Bayreuth, Bayreuth, Germany.<br><sup>9</sup>. Department of Geosciences and Natural Resource Management, Section for Geography, University of Copenhagen, Copenhagen, Denmark.<br><sup>10</sup>. Lethbridge, AB, Canada.<br><sup>11</sup>. Research Faculty of Agriculture, Hokkaido University, Hokkaido, Japan.<br><sup>12</sup>. Sarawak Tropical Peat Research Institute, Sarawak, Malaysia.<br><sup>13</sup>. Horticulture Department, Field Crops Research Institute, Hai Duong, Vietnam.<br><sup>14</sup>. Department of Geography and Environmental Science, School of Archaeology, Geography and Environmental Sciences (SAGES), University of Reading, Reading, United Kingdom.<br><sup>15</sup>. Department of Forest and Soil Sciences, Institute of Soil Research, University of Natural Resources and Life Sciences, Vienna, Austria.<br><sup>16</sup>. Department of Agricultural and Biosystem Engineering, Faculty of Agricultural Technology, Universitas Gadjah Mada, Indonesia.<br><sup>17</sup>. Faculty of Natural Resources, Prince of Songkla University, Thailand.<br><sup>18</sup>. Faculty of Agriculture and Marine Sciences, Kochi University, Kochi, Japan.<br><br>For more information about the dataset or the scripts, please contact the corresponding authors at: fmgomez@ksu.edu, ciampitti@ksu.edu.
DOI: 10.6084/m9.figshare.23736891.v1
title: A dataset for soil organic carbon in agricultural systems for the Southeast Asia region

description: Authors:<br>Federico Gomez<sup>1</sup>*, Ana Carcedo<sup>1</sup>, Chan Makara Mean<sup>2</sup>, Manuel Reyes<sup>3</sup>, Lyda Hok<sup>4</sup>, Florent Tivet<sup>5</sup>, Vang Seng<sup>6</sup>, P. V. Vara Prasad<sup>1</sup>, Shopie Manson<sup>7</sup>, K. A. I. Nekaris<sup>7</sup>, Eva Lehndorff<sup>8</sup>, Thilde Bech Bruun<sup>9</sup>, Catherine M. Hepp<sup>10</sup>, Ryusuke Hatano<sup>11</sup>, Auldry Chaddy<sup>12</sup>, Pham Thi Thu Huong<sup>13</sup>, Selva Dhandapani<sup>14</sup>, Katharina Maria Keiblinger<sup>15</sup>, Rizki Maftukhah<sup>16</sup>, Zar Ni Zaw<sup>17</sup>, Sota Tanaka<sup>18</sup>, and Ignacio Ciampitti<sup>1</sup>*<br><sup>1</sup>. Department of Agronomy, Kansas State University, Manhattan, Kansas, US.<br><sup>2</sup>. Faculty of Agricultural Biosystems Engineering, Royal University of Agriculture, Phnom Penh, Cambodia.<sup>3</sup>. Sustainable Intensification Innovation Lab, and Department of Agronomy, Kansas State University, Manhattan, Kansas, US.<br><sup>4</sup>. Center of Excellence on Sustainable Agricultural Intensification and Nutrition, Royal University of Agriculture, Phnom Penh, Cambodia.<sup>5</sup>. CIRAD, UPR AIDA, Univ Montpellier, Montpellier, France. Agroecology for South-East Asia.<br><sup>6</sup>. Department of Agricultural Land Resources Management, Phnom Penh, Cambodia.<br><sup>7</sup>. School of Humanities and Social Sciences, Oxford Brookes University, Oxford, United Kingdom.<br><sup>8</sup>. Soil Ecology, Universität Bayreuth, Bayreuth, Germany.<br><sup>9</sup>. Department of Geosciences and Natural Resource Management, Section for Geography, University of Copenhagen, Copenhagen, Denmark.<br><sup>10</sup>. Lethbridge, AB, Canada.<br><sup>11</sup>. Research Faculty of Agriculture, Hokkaido University, Hokkaido, Japan.<br><sup>12</sup>. Sarawak Tropical Peat Research Institute, Sarawak, Malaysia.<br><sup>13</sup>. Horticulture Department, Field Crops Research Institute, Hai Duong, Vietnam.<br><sup>14</sup>. Department of Geography and Environmental Science, School of Archaeology, Geography and Environmental Sciences (SAGES), University of Reading, Reading, United Kingdom.<br><sup>15</sup>. Department of Forest and Soil Sciences, Institute of Soil Research, University of Natural Resources and Life Sciences, Vienna, Austria.<br><sup>16</sup>. Department of Agricultural and Biosystem Engineering, Faculty of Agricultural Technology, Universitas Gadjah Mada, Indonesia.<br><sup>17</sup>. Faculty of Natural Resources, Prince of Songkla University, Thailand.<br><sup>18</sup>. Faculty of Agriculture and Marine Sciences, Kochi University, Kochi, Japan.<br><br>For more information about the dataset or the scripts, please contact the corresponding authors at: fmgomez@ksu.edu, ciampitti@ksu.edu.
DOI: 10.15468/hc7eyy
title: Twenty-five-year mapping of species of the superfamily Cercopoidea (Hemiptera: Auchenorrhyncha) in Bulgaria

description: The dataset contains the material of the superfamily Cercopoidea from the Zoological Collection of the University of Sofia (BFUS), collected during the 25-year period from 1997 to 2022. The material consists of 8722 specimens grouped in 6670 collection objects deposited at BFUS.
DOI: 10.5525/gla.researchdata.1618
title: War-related trauma, psychological symptoms, and quality of life in internally displaced Greek-Cypriot people: A 45-year post-war study.
DOI: 10.6084/m9.figshare.25481791
title: Table S3: Image analysis of acoustic data and interpretation of rock stress orientations for geothermal exploration in Gothenburg borehole GE-1, Southwest Sweden

description: Table S3: Drilling-induced fractures with Method A
DOI: 10.6084/m9.figshare.25481791.v1
title: Table S3: Image analysis of acoustic data and interpretation of rock stress orientations for geothermal exploration in Gothenburg borehole GE-1, Southwest Sweden

description: Table S3: Drilling-induced fractures with Method A
DOI: 10.6084/m9.figshare.25481794
title: Table S7: Image analysis of acoustic data and interpretation of rock stress orientations for geothermal exploration in Gothenburg borehole GE-1, Southwest Sweden

description: Table S7: Drilling-induced fractures with Method D
DOI: 10.6084/m9.figshare.25481797
title: Table S5: Image analysis of acoustic data and interpretation of rock stress orientations for geothermal exploration in Gothenburg borehole GE-1, Southwest Sweden

description: Table S5: Drilling-induced fractures with Method B
DOI: 10.6084/m9.figshare.25481797.v1
title: Table S5: Image analysis of acoustic data and interpretation of rock stress orientations for geothermal exploration in Gothenburg borehole GE-1, Southwest Sweden

description: Table S5: Drilling-induced fractures with Method B
DOI: 10.6084/m9.figshare.25481800
title: Table S1: Image analysis of acoustic data and interpretation of rock stress orientations for geothermal exploration in Gothenburg borehole GE-1, Southwest Sweden

description: Table S1: Drilling disturbances
DOI: 10.6084/m9.figshare.25481806.v1
title: Table S8: Image analysis of acoustic data and interpretation of rock stress orientations for geothermal exploration in Gothenburg borehole GE-1, Southwest Sweden

description: Table S8: Natural fractures and foliation
DOI: 10.6084/m9.figshare.25481809.v1
title: Table S6: Image analysis of acoustic data and interpretation of rock stress orientations for geothermal exploration in Gothenburg borehole GE-1, Southwest Sweden

description: Table S6: Borehole breakouts with Method C
DOI: 10.6084/m9.figshare.25481812.v1
title: Table S2: Image analysis of acoustic data and interpretation of rock stress orientations for geothermal exploration in Gothenburg borehole GE-1, Southwest Sweden

description: Table S2: Borehole breakouts with Method A
DOI: 10.5281/zenodo.10880798
title: Surface retreat rate from gullies at an eroding blanket bog, Aberdeenshire, UK.

description: Surface retreat rate (erosion rate) or peat from seven erosion gullies within an eroding blanket bog. The bog is on a large high-altitude plateau blanket bog in the eastern part of the Cairngorms National Park, Scotland, UK (56.93° N, − 3.16° E, 642 m asl). 

 Within each erosion gully, 9 1m steel pins (threaded rod) were inserted into the peat until they reached bed rock or were almost competely submerged (but still visible). The pins were oriented in a 1m2 square with 0.5m between each pin. Approximately every 2-4 months the distance between the top of each pin and the top of the peat was measured (measuring to the lowest point at which peat surace intersects with the pin).

The dataset shows:

Date: date at which the measurement was taken

Gully: The gully number (1-7)

Pin: The pin number within each gully (1-9)

dL: Change in exposed length of pin (cm) compared to the start date of 27/09/2022
DOI: 10.5281/zenodo.10880799
title: Surface retreat rate from gullies at an eroding blanket bog, Aberdeenshire, UK.

description: Surface retreat rate (erosion rate) or peat from seven erosion gullies within an eroding blanket bog. The bog is on a large high-altitude plateau blanket bog in the eastern part of the Cairngorms National Park, Scotland, UK (56.93° N, − 3.16° E, 642 m asl). 

 Within each erosion gully, 9 1m steel pins (threaded rod) were inserted into the peat until they reached bed rock or were almost competely submerged (but still visible). The pins were oriented in a 1m2 square with 0.5m between each pin. Approximately every 2-4 months the distance between the top of each pin and the top of the peat was measured (measuring to the lowest point at which peat surace intersects with the pin).

The dataset shows:

Date: date at which the measurement was taken

Gully: The gully number (1-7)

Pin: The pin number within each gully (1-9)

dL: Change in exposed length of pin (cm) compared to the start date of 27/09/2022
DOI: 10.18126/rska-ta67
title: A machine learning-based alloy design system to facilitate the rational design of high entropy alloys with enhanced hardness
DOI: 10.5525/gla.researchdata.1619
title: How does forgiveness influence mental wellbeing? A longitudinal exploration in the South African population.
DOI: 10.17909/zk1p-2q51
title: SN H0pe: The First Measurement of $H_0$ from a Multiply-Imaged Type Ia Supernova, Discovered by JWST
DOI: 10.26030/d5dg-7s68
title: Characterization of Biofilm Formation, Growth, and Gene Expression on Different Materials and Environmental Conditions in Microgravity (Gene expression of Pseudomonas aeruginosa biofilms)

description: Microorganisms' natural ability to live as organized multicellular communities – also known as biofilms – provides them with unique survival advantages. For instance, biofilms are protected against environmental stresses thanks to their extracellular matrix, which could contribute to persistent infections after treatment. Biofilms are also capable of strongly attaching to surfaces, where their metabolism byproducts could lead to surface material degradation. Furthermore, microgravity can alter biofilm behavior in unexpected ways, making the presence of biofilms in space a risk for both astronauts and spaceflight hardware. Despite the efforts to eliminate microorganism contamination from spacecrafts surfaces, it is impossible to prevent human-associated bacteria or fungus from eventually establishing biofilm surface colonization. Nevertheless, by understanding the changes that biofilms undergo in microgravity, it is possible to identify key differences and pathways that could be targeted to significantly reduce biofilm formation. The Space Biofilms project, performed at the International Space Station, contributes to such understanding by characterizing the morphology and gene expression of bacterial and fungal biofilms formed in microgravity with respect to ground controls. Pseudomonas aeruginosa was used as model organism for the bacterial morphology and transcriptomic studies, while Penicillium rubens was used for the fungal morphology study. Bacterial biofilm formation was characterized at one, two, and three days of incubation (37°C) over six different materials: stainless steel 316, passivated stainless steel 316, a lubricant impregnated surface (LIS), catheter grade silicone with and without a linear microtopography, and cellulose membrane.
DOI: 10.6084/m9.figshare.25459042.v3
title: Charamis_et_al_2024_Supplementary_Files.tar.gz

description: Supplementary Files for supporting the following manuscript:Charamis, J., Balaska, S., Ioannidis, P., Dvořák, V., Mavridis, K., McDowell, M.A., Pavlidis, P., Feyereisen, R., Volf, P., & Vontas, J. (2024). Comparative genomics uncovers the evolutionary dynamics of detoxification and insecticide target genes across 11 phlebotomine sand flies. Under submission.
DOI: 10.18150/5054208
title: Testowy zbiór danych

description: Opis testowego zbioru danych zawierający wszystkie polskie znaki diaktryczne zażółć gęślą jaźń
DOI: 10.18150/9648037
title: GROTOAP

description: A test set useful for training and performance evaluation of page segmentation and zone classification tasks. The test set contains input articles in a digital form and corresponding ground truth files. All input documents included in the test set have been selected from DOAJ database, which indexes articles published under CC-BY license. The whole test set is available under the same license.
DOI: 10.18150/6417958
title: GROTOAP-affiliations

description: GROTOAP2-affiliations (GROund Truth for Open Access Publications) is a dataset useful for training and performance evaluation of affiliations parsing. The dataset was built automatically from PubMed Central Open Access Subset resources. It contains 8267 parsed affiliations, storing both the raw affiliation strings as well as fragments marked as institution, address and country.
DOI: 10.18150/1816709
title: GROTOAP-citations

description: GROTOAP2-citations (GROund Truth for Open Access Publications) is a dataset useful for training and performance evaluation of citation parsing. The dataset was built automatically from Cora-ref and PubMed Central Open Access Subset resources. It contains 6,858 parsed citations, storing both the raw citation strings as well as fragments marked as authors, title, source, volume, issue, pages and year.
DOI: 10.18150/8527338
title: GROTOAP2

description: GROTOAP2 (GROund Truth for Open Access Publications) is a dataset useful for training and performance evaluation of document content analysis tasks, such as document zone classification. GROTOAP2 is a successor of GROTOAP dataset. GROTOAP2 was built automatically from PubMed Central Open Access Subset. It contains 13,210 ground truth files, that store geometrical and logical structure of the articles content. The corresponding PDF files can be downloaded from PMC repository using provided script. This repository contains a sample of a 132 ground truth files. The full dataset can be downloaded from: http://cermine.ceon.pl/grotoap2/.
DOI: 10.18150/1749923
title: Time-course data of the phosphorylation of MAP kinases in yeast cells treated with alpha-factor and/or salt

description: This dataset contains the results of an experiment meant to investigate crosstalk between Ste11-dependent mitogen-activated protein kinase (MAPK) pathways in cells of the yeast Saccharomyces cerevisiae. Yeast cells were stimulated with the hormone alpha-factor and with salt (NaCl) in three different scenarios: (1) only alpha-factor, (2) alpha-factor and salt simultaneously, (3) only salt. Samples were drawn from the cultures at defined time points after stimulation, total proteins were isolated and analyzed by Western blotting with antibodies against the phosphorylated forms of three yeast MAPKs: Fus3, Kss1 and Hog1. The Western blots were scanned and quantified using an Odyssey infrared scanner. This dataset contains raw quantitative phosphorylation data, processed data (including graphs), and scans of the blots.
DOI: 10.18150/2024939
title: Baza danych z badania Uwarunkowania adaptacyjności mazowieckich przedsiębiorstw

description: Wyniki badania ankietowego Uwarunkowania adaptacyjności mazowieckich przedsiębiorstw, w którym przeanalizowano 321 mazowieckich firm. Wywiady telefoniczne przeprowadzane były z członkami zarządu, właścicielami, przedstawicielami kadry kierowniczej, ewentualnie innymi osobami zajmującymi się strategią lub odpowiedzialnymi za rozwój i plany firmy. Dobór próby został wykonany w odniesieniu do dwóch czynników: wielkości firmy oraz branży, w której firma działa.
DOI: 10.18150/4215034
title: Baza danych z badania Adaptacyjność mazowieckich samorządów lokalnych

description: Wyniki badania ankietowego „Adaptacyjność gmin i powiatów 2014” przeprowadzonego latem 2014 r. i skierowanego do mazowieckich samorządów gminnych i powiatowych (w przypadku gmin uzyskano 190 ankiet co stanowi 60,5% badanej populacji, natomiast w przypadku powiatów uzyskano 27 ankiet – 73% badanej populacji).
DOI: 10.18150/repod.6957786
title: fresh and dried leaf shapes

description: Scans of fresh and dried leaves of 22 plant taxa. All leaves from a taxon were collected on one day and marked with a unique number. The leaves were then scanned. Scanned leaves were placed in a herbarium press. The plants were dried in the press for 5-7 days at ambient temperature. Dried leaves were rescanned the same way as fresh ones.
DOI: 10.18150/repod.6389523
title: Calcium removal in hemodialysis

description: Data included in this collection are connected with the article "Quantification of Dialytic Removal and Extracellular Calcium Mass Balance during a Weekly Cycle of Hemodialysis" in PLOS ONE.
DOI: 10.18150/repod.9948646
title: Isoelectric point for all UniProtKB/TrEMBL proteins April 2016

description: Predicted isoelectric point for all UniProtKB/TrEMBL proteins (April 2016) done using 18 different algorithms. Over 63 millions of protein sequences. Compressed using 7zip **Primary reference: Kozlowski, LP (2016) Proteome-pI: proteome isoelectric point database. Nucleic Acids Research doi: 10.1093/nar/gkw978 **www: http://isoelectricpointdb.org
DOI: 10.18150/repod.1549954
title: Isoelectric point for PDB proteins Dec 2015

description: Predicted isoelectric point for PDB proteins (Dec 2015) done using 18 different algorithms. Compressed using 7zip. **Primary reference: Kozlowski, LP (2016) Proteome-pI: proteome isoelectric point database. Nucleic Acids Research doi: 10.1093/nar/gkw978 **www: http://isoelectricpointdb.org
DOI: 10.18150/repod.3589670
title: Isoelectric point for Swissprot proteins Dec 2015

description: __Predicted isoelectric point for all SwissProt proteins (Dec 2015) done using 18 different algorithms. __ Over 500k of protein sequences. Compressed using 7zip. __Primary reference: __ Kozlowski LP (2016) IPC - Isoelectric Point Calculator. Biology Direct 11:55. doi: 10.1186/s13062-016-0159-9 www: http://isoelectric.org/
DOI: 10.18150/repod.2872103
title: Isoelectric point for all nr (non redundant) NCBI proteins April 2016 isoelectricpointdb.org

description: Predicted isoelectric point for all nr (non redundant) NCBI proteins (April 2016) done using 18 different algorithms. Over 86 millions of protein sequences. Compressed using 7zip and then zipped. **Primary reference: Kozlowski, LP (2016) Proteome-pI: proteome isoelectric point database. Nucleic Acids Research doi: 10.1093/nar/gkw978 **www: http://isoelectricpointdb.org