cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.5188030.v1
title: Raw EEG data for 'Enhanced conflict monitoring via deep breathing'

description: Included here are the raw EEG signals and the behavioral data from the Go/NoGo task. The ERP was extracted using EEGLAB and ERPLAB using the included eventlist files.
DOI: 10.3535/b6t-dy3-gmv
title: Amorphognathus superbus

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.12584957.v1
title: NEON Hyperspectral Tiles

description: Tiles of AOP flyovers of NEON's ONAQ site in Utah.
DOI: 10.6084/m9.figshare.19997390.v1
title: Interchangeability of floral volatiles in ternary lure combinations for catching three cetoniin chafers (Coleoptera, Scarabaeidae)

description: In behavioural field experiments we aimed to study the interchangeability of molecular structures, which only differ by a single hydrogen, hydroxyl- or methyl-group from components of a known attractant blend of the flower damaging <em>Epicometis hirta</em> (Coleoptera, Scarabaeidae), and two other cetoniin occasional pests <em>Cetonia aurata aurata</em> and <em>Potosia cuprea</em>, typical to the fauna of Central and Southern Europe. 1-Phenethyl alcohol or 3-methyl eugenol (of the known attractant blend of 1-phenethyl alcohol, <em>(E)</em>-anethol and 3-methyl eugenol) were replaced with structurally similar floral compounds widespread among plant families in general. All baited treatments caught significantly more of the three species compared to the unbaited control. The ternary blend containing 2-phenethyl alcohol caught numerically the most of the three species, and gave significant increase compared to the basic blend with 1-phenethyl alcohol for <em>C. a. aurata</em> and <em>E. hirta</em>. Benzyl alcohol performed similarly well to 2-phenethyl alcohol in catching <em>C. a. aurata</em> and <em>P. cuprea</em>, and it was superior over the blend with phenylacetaldehyde. On the contrary, for <em>E. hirta</em> the treatment containing phenylacetaldehyde was better than the combination with benzyl alcohol, resulting in a similar effect to the blend with 2-phenethyl alcohol. In another experiment, the known ternary blend including 3-methyl eugenol performed numerically the best in attracting <em>E. hirta</em> compared to the blends with eugenol or isoeugenol, which results are congruent with the earlier findings on <em>C. a. aurata </em>and <em>P. cuprea</em>. Our work resulted in a single optimized attractant combination for all three cetoniin species, that includes 2-phenethyl alcohol, 3-methyl eugenol and (<em>E</em>)-anethol.
DOI: 10.3535/679-bkd-h3a
title: Amorphognathus superbus

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/j9f-qks-cke
title: Amorphognathus superbus

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/s83-0nb-2xr
title: Amorphognathus superbus

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/yp4-49r-m46
title: Amorphognathus superbus

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/atb-l45-6wy
title: Amorphognathus viirae

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/kdb-k8n-m1k
title: Amorphognathus superbus

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.25938448.v1
title: Multimodal LLMs Struggle with Basic Visual Network Analysis: a Visual Network Analysis Benchmark

description: # VNA_BenchmarkCode and data for the paper "Multimodal LLMs Struggle with Basic Visual Network Analysis: a Visual Network Analysis Benchmark"<br>Code will be added shortly.## Visual Network Analysis Benchmark<br>This repository contains the data and labels for “Multimodal LLMs Struggle with Basic Visual Network Analysis: a VNA Benchmark”<br>All graphs were generated using the networkx and netgraph python libraries<br>## Data<br>The repository contains 4 folders:<br>* degree* structural_balance* connected_components* labels<br>the first three folders contain the graph images generated to evaluate GPT-4 and LLAVA and the final folder contains ground-truth labels for each of these graphs. Details on each evaluation are provided below<br>### Degree<br>Degree labels can be found in ‘labels/degree_labels.json’. This file is most easily read with `pd.read_json()`. It contains the following fields:<br>* `num_nodes`: total number of nodes in the graph* `max_degree`: maximum degree in the graph. Identical for letter and number graphs* `nodes_with_max_degree`: a list of nodes with maximal degree.* `letter_nodes_with_max_degree`: same as the previous column, but with integers mapped to letter IDs.* `file`: name of the file in either degree/letter_nodeIDs or degree/number_nodeIDs the graph corresponds to.<br>### Structural Balance<br>Labels are present in both image and the folder names. All triads in ‘structural_balance/balanced_triads’ are balanced and all triads in ‘structural_balance/imbalanced_triads’ are imbalanced.<br>### Connected Components<br>‘connected_component_labels.csv’ contains 3 columns:<br>* `component_count`: number of components* `isolate_count`: number of isolates* `file`: name of the file the labels correspond to<br>### Citation<br>```@article{williams2024multimodal, title={Multimodal LLMs Struggle with Basic Visual Network Analysis: a VNA Benchmark}, author={Williams, Evan M and Carley, Kathleen M}, booktitle={International Conference on Social Computing, Behavioral-Cultural Modeling and Prediction and Behavior Representation in Modeling and Simulation}, year={2024}, url = {https://arxiv.org/abs/2405.06634}, organization={Springer}}```<br>
DOI: 10.3535/gw8-q73-5lf
title: Amorphognathus superbus

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.28553516.v1
title: Deciphering the Exploring Distinct Sleep-Related Hearing lmpairment: Plasma Proteome as a Key to Targeted Therapeutics

description: The file contains all the original data and related pictures and tables, EXCEL contains the sensitivity test data of the subtable, MR Results and GWAS entries, and the related graphical display is also displayed in Word.
DOI: 10.3535/7t0-392-7l7
title: Amorphognathus superbus

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/z7b-xj4-t6p
title: Amorphognathus viirae

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.28703415
title: Additional file 3 of Transcriptome analysis of corpora lutea in domestic cats (Felis catus) reveals strong differences in gene expression of various hormones, hormone receptors and regulators across different developmental stages

description: Supplementary Material 3
DOI: 10.6084/m9.figshare.28703415.v1
title: Additional file 3 of Transcriptome analysis of corpora lutea in domestic cats (Felis catus) reveals strong differences in gene expression of various hormones, hormone receptors and regulators across different developmental stages

description: Supplementary Material 3
DOI: 10.6084/m9.figshare.28703418
title: Additional file 4 of Transcriptome analysis of corpora lutea in domestic cats (Felis catus) reveals strong differences in gene expression of various hormones, hormone receptors and regulators across different developmental stages

description: Supplementary Material 4
DOI: 10.6084/m9.figshare.28703418.v1
title: Additional file 4 of Transcriptome analysis of corpora lutea in domestic cats (Felis catus) reveals strong differences in gene expression of various hormones, hormone receptors and regulators across different developmental stages

description: Supplementary Material 4
DOI: 10.6084/m9.figshare.28703421
title: Additional file 5 of Transcriptome analysis of corpora lutea in domestic cats (Felis catus) reveals strong differences in gene expression of various hormones, hormone receptors and regulators across different developmental stages

description: Supplementary Material 5
DOI: 10.6084/m9.figshare.28703421.v1
title: Additional file 5 of Transcriptome analysis of corpora lutea in domestic cats (Felis catus) reveals strong differences in gene expression of various hormones, hormone receptors and regulators across different developmental stages

description: Supplementary Material 5
DOI: 10.6084/m9.figshare.28703424
title: Additional file 6 of Transcriptome analysis of corpora lutea in domestic cats (Felis catus) reveals strong differences in gene expression of various hormones, hormone receptors and regulators across different developmental stages

description: Supplementary Material 6
DOI: 10.6084/m9.figshare.28703424.v1
title: Additional file 6 of Transcriptome analysis of corpora lutea in domestic cats (Felis catus) reveals strong differences in gene expression of various hormones, hormone receptors and regulators across different developmental stages

description: Supplementary Material 6
DOI: 10.6084/m9.figshare.28703430
title: Additional file 8 of Transcriptome analysis of corpora lutea in domestic cats (Felis catus) reveals strong differences in gene expression of various hormones, hormone receptors and regulators across different developmental stages

description: Supplementary Material 8
DOI: 10.6084/m9.figshare.28703430.v1
title: Additional file 8 of Transcriptome analysis of corpora lutea in domestic cats (Felis catus) reveals strong differences in gene expression of various hormones, hormone receptors and regulators across different developmental stages

description: Supplementary Material 8
DOI: 10.6084/m9.figshare.28703433
title: Additional file 9 of Transcriptome analysis of corpora lutea in domestic cats (Felis catus) reveals strong differences in gene expression of various hormones, hormone receptors and regulators across different developmental stages

description: Supplementary Material 9
DOI: 10.3535/m6v-178-xee
title: †Tentaculites Schlotheim, 1820

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/wn0-mdq-e6j
title: Amorphognathus complicatus

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.28703433.v1
title: Additional file 9 of Transcriptome analysis of corpora lutea in domestic cats (Felis catus) reveals strong differences in gene expression of various hormones, hormone receptors and regulators across different developmental stages

description: Supplementary Material 9
DOI: 10.6084/m9.figshare.28703436
title: Additional file 10 of Transcriptome analysis of corpora lutea in domestic cats (Felis catus) reveals strong differences in gene expression of various hormones, hormone receptors and regulators across different developmental stages

description: Supplementary Material 10
DOI: 10.6084/m9.figshare.28703436.v1
title: Additional file 10 of Transcriptome analysis of corpora lutea in domestic cats (Felis catus) reveals strong differences in gene expression of various hormones, hormone receptors and regulators across different developmental stages

description: Supplementary Material 10
DOI: 10.6084/m9.figshare.9944216.v1
title: Contrast normalisation masks naturalexpression-related differences and artificiallyenhances the perceived salience of fearexpressions.

description: Three datasets: <br>Set 1: 'allphysicalblmdrms.xlsm' file. This is RMS contrast values measured for 140 KDEF face images of 5 facial expressions (neutral, fear, anger, happiness, disgust). Each expression has an RMS contrast value at each level of spatial frequency filtering (broad, low-, mid-, high-range spatial frequency). <br>Set 2: 'amplitude_slope_data.xlsx' file. This is the averaged amplitude slopes for each facial expression, pooled across 140 KDEF faces. <br>Set 3: Behavioural data from 19 observers. The amount of physical contrast required for each expression to perceptually match a reference target (whose Michelson contrast is set permanently at 10%). <br>File 'RMS_matching-bsf-data.sav': apparent contrast values for 5 broadband expressions when upright and invertedFile 'RMS_matching-lsf-data.sav': apparent contrast values for 5 low-frequency filtered expressions when upright and inverted<br>File 'RMS_matching-msf-data.sav': apparent contrast values for 5 mid-range frequency filtered expressions when upright and inverted<br>File 'RMS_matching-hsf-data.sav': apparent contrast values for 5 ghih frequency filtered expressions when upright and inverted<br><br>Set 4: 'skewness_all.xlsx' This is an excel file containing average skew values obtained from 16 KDDEF faces. These are provided for 4 frequency conditions (intact, low, mid, and high). Sheet 1 is the data for upright, natural images of faces (internal features only, grayscale). Data for their manipulated versions are available on sheet 2. This includes skew values for manipulated faces: those that were inverted by 180 deg and subjected to reversed luminance polarity. Faces were also internally cropped and grayscale.
DOI: 10.6084/m9.figshare.c.3656915_d4.v1
title: Additional file 3 of Placental transcriptome co-expression analysis reveals conserved regulatory programs across gestation

description: Co-expression module gene ontology terms. Comma-seperated values file. The results of gene ontology analyses for each co-expression module. (XLSX 50 kb)
DOI: 10.3535/aj0-11a-ff7
title: †Tentaculites Schlotheim, 1820

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.12950765.v1
title: Dataset on growth of microbes in tap water on agar plates at 25 degree Celsius

description: This dataset comprises pictures illustrating the growth of microbes in tap water on agar plates. Incubation conditions were 25 degree Celsius for several days.
DOI: 10.6084/m9.figshare.28703442
title: Additional file 1 of Unveiling the powerhouse: ASCL1-driven small cell lung cancer is characterized by higher numbers of mitochondria and enhanced oxidative phosphorylation

description: Supplementary Material 1
DOI: 10.6084/m9.figshare.28703442.v1
title: Additional file 1 of Unveiling the powerhouse: ASCL1-driven small cell lung cancer is characterized by higher numbers of mitochondria and enhanced oxidative phosphorylation

description: Supplementary Material 1
DOI: 10.3535/35y-xfa-y82
title: †Tentaculites Schlotheim, 1820

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/xwv-l44-6nw
title: Amorphognathus tvaerensis

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.26533924.v2
title: Annotated cervical cytology images dataset for abnormal cells detection

description: This dataset represents a collection of cytology images with exhaustive annotations of abnormal cervical cells, containing 8,037 non-overlapping images of 2048x2048 pixels each. The dataset was derived from 129 scanned Thinprep cytologic test (TCT) slide images reported as abnormal levels at Heilongjiang Maternal and Child Health Hospital. Three professional pathologists then conducted a detailed annotation and review process on these cytology images to generate usable annotation files. Finally, the complete dataset consists all cytology images in .png file format and annotation files of abnormal cells for each cytology image in .xml file format.
DOI: 10.6084/m9.figshare.27915819.v2
title: drep-99-part2

description: Non-redundant MAGs at the strain level in RGMC, Part 2
DOI: 10.3535/3ar-6zv-qad
title: Amorphognathus tvaerensis

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/9bz-epq-at6
title: Kroyeria Beneden, 1853

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.25486414.v2
title: GeoTool-GPT

description: None
DOI: 10.6084/m9.figshare.7454444.v1
title: data for spontaneous and agonist evoked contractile responses

description: Data contained in Prism 6 file
DOI: 10.3535/x4g-xrd-9lx
title: Amorphognathus tvaerensis

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/z7v-pa1-r8g
title: Amorphognathus tvaerensis

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.28703454
title: Additional file 1 of Seasonal dynamics and factors shaping microbiomes in freshwater finfish earthen aquaculture ponds in Bangladesh

description: Supplementary Material 1: Additional file 1, Table S1. Details on water samples collected from Pangasius and Tilapia aquaculture ponds in Mymensingh, Bangladesh. Light green and teal colours denote ponds with only pangasius and tilapia, respectively. Light blue colour indicates mixed culture and orange colour shows where the main crop switched to other fish species. Numbers in parentheses denote samples for 18 S analysis.
DOI: 10.6084/m9.figshare.28703457
title: Additional file 2 of Seasonal dynamics and factors shaping microbiomes in freshwater finfish earthen aquaculture ponds in Bangladesh

description: Supplementary Material 2: Additional file 2, Table S2. Seasonal variations in water physicochemical features in the aquaculture ponds. Values are presented as the mean (± SD) of monthly samples across all ponds. Water physicochemical parameters data were not collected before March 2017.
DOI: 10.6084/m9.figshare.878253_d71
title: air_temperature_degC_1cm_soil_100_shade.zip

description: Air temperature (deg C) 1 cm above the ground assuming a soil substrate and 100% shade from vegetation. Each netCDF file contains 24 layers of global extent, one for each hour of the day (starting at 0:00 hrs) for a given month of the year, at ~15km resolution.
 
 
Fileset Description:
The microclim dataset provides microclimate estimates of conditions above and below ground for each hour of the day for the middle day of each month based on a long-term average climatology. Details of this dataset are presented in [Kearney et al. 2014].
The dataset comprises a set of NetCDF files with one file per variable per month, each file comprising 24 layers (one for each hour of the day from 0:00 hrs to 23:00 hrs, so layer 13 is 12:00 midday) for the globe (852 rows, 2159 columns, latitudinal extents -58.57 to 83.43 degrees, longitudinal extents -180.00 to 180.00 degrees). For the naming convention, mon is month of the year (1 to 12, where 1 = Jan, 12 = Dec), shd is shade level in % (0, 25, 50, 75, 90, 100), and sub is substrate (soil, rock, sand).
To facilitate downloading the data, the NetCDF files are grouped into compressed (zipped) files, one per variable per shade and substrate type, each comprising all monthly values and, for the substrate temperatures, all depths. Note that not all variables are shade or substrate specific, specifically zenith angle, wind speeds, solar radiation, and 120 cm air temperature and relative humidity.
DOI: 10.3535/5pe-ggn-cyh
title: Amorphognathus tvaerensis

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/9vq-jf2-402
title: Amorphognathus tvaerensis

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.28703454.v1
title: Additional file 1 of Seasonal dynamics and factors shaping microbiomes in freshwater finfish earthen aquaculture ponds in Bangladesh

description: Supplementary Material 1: Additional file 1, Table S1. Details on water samples collected from Pangasius and Tilapia aquaculture ponds in Mymensingh, Bangladesh. Light green and teal colours denote ponds with only pangasius and tilapia, respectively. Light blue colour indicates mixed culture and orange colour shows where the main crop switched to other fish species. Numbers in parentheses denote samples for 18 S analysis.
DOI: 10.6084/m9.figshare.28703457.v1
title: Additional file 2 of Seasonal dynamics and factors shaping microbiomes in freshwater finfish earthen aquaculture ponds in Bangladesh

description: Supplementary Material 2: Additional file 2, Table S2. Seasonal variations in water physicochemical features in the aquaculture ponds. Values are presented as the mean (± SD) of monthly samples across all ponds. Water physicochemical parameters data were not collected before March 2017.
DOI: 10.6084/m9.figshare.28703463
title: Additional file 4 of Seasonal dynamics and factors shaping microbiomes in freshwater finfish earthen aquaculture ponds in Bangladesh

description: Supplementary Material 4: Additional file 4. Table S3. Sequencing profiles of the prokaryotes (16 S) and microeukaryotes (18 S) datasets. Data presented following the different types of filtering and sample removal where the reads were less than 2000.
DOI: 10.6084/m9.figshare.28703463.v1
title: Additional file 4 of Seasonal dynamics and factors shaping microbiomes in freshwater finfish earthen aquaculture ponds in Bangladesh

description: Supplementary Material 4: Additional file 4. Table S3. Sequencing profiles of the prokaryotes (16 S) and microeukaryotes (18 S) datasets. Data presented following the different types of filtering and sample removal where the reads were less than 2000.
DOI: 10.6084/m9.figshare.28703466
title: Additional file 5 of Seasonal dynamics and factors shaping microbiomes in freshwater finfish earthen aquaculture ponds in Bangladesh

description: Supplementary Material 5: Additional file 5. Table S4. Seasonal variation in the microbial communities in pangasius ponds based on a generalised linear model. Winter1: Jun-Oct, 2016, pre-monsoon1: Nov 2016-Feb 2017, monsoon1: Mar-May 2017, winter2: Jun-Oct 2017, pre-monsoon2: Nov 2017-Feb 2018, monsoon2: Nov 2016-Feb 2018.
DOI: 10.6084/m9.figshare.28703466.v1
title: Additional file 5 of Seasonal dynamics and factors shaping microbiomes in freshwater finfish earthen aquaculture ponds in Bangladesh

description: Supplementary Material 5: Additional file 5. Table S4. Seasonal variation in the microbial communities in pangasius ponds based on a generalised linear model. Winter1: Jun-Oct, 2016, pre-monsoon1: Nov 2016-Feb 2017, monsoon1: Mar-May 2017, winter2: Jun-Oct 2017, pre-monsoon2: Nov 2017-Feb 2018, monsoon2: Nov 2016-Feb 2018.
DOI: 10.6084/m9.figshare.28703469
title: Additional file 6 of Seasonal dynamics and factors shaping microbiomes in freshwater finfish earthen aquaculture ponds in Bangladesh

description: Supplementary Material 6: Additional file 6. Table S5. Seasonal variation in the microbial communities in tilapia ponds based on a generalised linear model. Winter1: Jun-Oct, 2016, pre-monsoon1: Nov 2016-Feb 2017, monsoon1: Mar-May 2017, winter2: Jun-Oct 2017, pre-monsoon2: Nov 2017-Feb 2018, monsoon2: Nov 2016-Feb 2018.
DOI: 10.6084/m9.figshare.28703469.v1
title: Additional file 6 of Seasonal dynamics and factors shaping microbiomes in freshwater finfish earthen aquaculture ponds in Bangladesh

description: Supplementary Material 6: Additional file 6. Table S5. Seasonal variation in the microbial communities in tilapia ponds based on a generalised linear model. Winter1: Jun-Oct, 2016, pre-monsoon1: Nov 2016-Feb 2017, monsoon1: Mar-May 2017, winter2: Jun-Oct 2017, pre-monsoon2: Nov 2017-Feb 2018, monsoon2: Nov 2016-Feb 2018.
DOI: 10.3535/6lt-f95-73a
title: Amorphognathus tvaerensis

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.