cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.22242031
title: VCaP_GR_ENZ3w_siFOXA1_Dex_rep2

description: VCaP_GR_ENZ3w_siFOXA1_Dex_rep2
DOI: 10.6084/m9.figshare.22242031.v1
title: VCaP_GR_ENZ3w_siFOXA1_Dex_rep2

description: VCaP_GR_ENZ3w_siFOXA1_Dex_rep2
DOI: 10.6084/m9.figshare.22241929
title: Spatial distribution characteristics and influencing factors analysis of different manufacturing types in Shandong Province

description: the dataset
DOI: 10.6084/m9.figshare.22241929.v1
title: Spatial distribution characteristics and influencing factors analysis of different manufacturing types in Shandong Province

description: the dataset
DOI: 10.6084/m9.figshare.22242037
title: VCaP_GR_ENZ3w_siNON_Dex_rep1

description: VCaP_GR_ENZ3w_siNON_Dex_rep1
DOI: 10.6084/m9.figshare.22242037.v1
title: VCaP_GR_ENZ3w_siNON_Dex_rep1

description: VCaP_GR_ENZ3w_siNON_Dex_rep1
DOI: 10.25386/genetics.22088078
title: Supplemental Material for Yuzon et al., 2023

description: <strong>File S1.</strong> Interchromosomal odds ratio across the Ptt0-1 genome. The statistic is calculated by multiplying the number of the Ptt0-1 and PtmFGO parental genotypes and dividing by the product of the hybrid genotypes. Hybrid genotypes were identified as one allele at one locus coming from Ptt0-1 and the other allele at another locus came from PtmFGO. Parental genotypes were identified as having both alleles from Ptt0-1 or both alleles from PtmFGO. Values greater than 1 indicate higher parental genotype frequency, less than 1 indicates higher hybrid frequency, and equal to 1 indicate parental and hybrid frequencies are equal.
DOI: 10.25386/genetics.22088078.v1
title: Supplemental Material for Yuzon et al., 2023

description: <strong>File S1.</strong> Interchromosomal odds ratio across the Ptt0-1 genome. The statistic is calculated by multiplying the number of the Ptt0-1 and PtmFGO parental genotypes and dividing by the product of the hybrid genotypes. Hybrid genotypes were identified as one allele at one locus coming from Ptt0-1 and the other allele at another locus came from PtmFGO. Parental genotypes were identified as having both alleles from Ptt0-1 or both alleles from PtmFGO. Values greater than 1 indicate higher parental genotype frequency, less than 1 indicates higher hybrid frequency, and equal to 1 indicate parental and hybrid frequencies are equal.
DOI: 10.6084/m9.figshare.22242052
title: VCaP_GR_ENZ3w_siNON_Dex_rep2

description: VCaP_GR_ENZ3w_siNON_Dex_rep2
DOI: 10.6084/m9.figshare.22242052.v1
title: VCaP_GR_ENZ3w_siNON_Dex_rep2

description: VCaP_GR_ENZ3w_siNON_Dex_rep2
DOI: 10.6084/m9.figshare.22242064.v1
title: VCaP_GR_siFOXA1_Dex_rep1

description: VCaP_GR_siFOXA1_Dex_rep1
DOI: 10.6084/m9.figshare.22242064
title: VCaP_GR_siFOXA1_Dex_rep1

description: VCaP_GR_siFOXA1_Dex_rep1
DOI: 10.5517/ccdc.csd.cc2f1bhb
title: CCDC 2235611: Experimental Crystal Structure Determination

description: Related Article: Zhi-Qiang Zhu, Teng-Fei Wu, Han-Peng Pan, Jin-Bao Peng, Ai-Jun Ma, Xiang-Zhi Zhang|2023|Org.Lett.|25|1299|doi:10.1021/acs.orglett.3c00179
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2d430p
title: CCDC 2208471: Experimental Crystal Structure Determination

description: Related Article: Li Wang, Qi-Qi He, Qiang Gao, Hui Xu, Teng-Fei Zheng, Zi-Hao Zhu, Yan Peng, Jing-Lin Chen, Sui-Jun Liu, He-Rui Wen|2023|Inorg.Chem.|62|3799|doi:10.1021/acs.inorgchem.2c04053
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2d431q
title: CCDC 2208472: Experimental Crystal Structure Determination

description: Related Article: Li Wang, Qi-Qi He, Qiang Gao, Hui Xu, Teng-Fei Zheng, Zi-Hao Zhu, Yan Peng, Jing-Lin Chen, Sui-Jun Liu, He-Rui Wen|2023|Inorg.Chem.|62|3799|doi:10.1021/acs.inorgchem.2c04053
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2f3w5m
title: CCDC 2238050: Experimental Crystal Structure Determination

description: Related Article: Hayato Ohki, Hidenori Kinoshita, Katsukiyo Miura|2023|Org.Lett.|25|1331|doi:10.1021/acs.orglett.3c00340
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2f5bwv
title: CCDC 2239467: Experimental Crystal Structure Determination

description: Related Article: Di-Ming Chen, Xue-Jing Zhang|2023|J.Solid State Chem.|321|123919|doi:10.1016/j.jssc.2023.123919
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.6084/m9.figshare.22242073
title: VCaP_GR_siFOXA1_Dex_rep2

description: VCaP_GR_siFOXA1_Dex_rep2
DOI: 10.6084/m9.figshare.22242073.v1
title: VCaP_GR_siFOXA1_Dex_rep2

description: VCaP_GR_siFOXA1_Dex_rep2
DOI: 10.17031/6409f83d2e1c9
title: Continuous Plankton Recorder data from the North West Passage in 2021

description: Excel file containing CPR data from the North West Passage in 2021, sample level data (each sample being 1 row, equating to approx. 10 nautical miles of tow, 3m3 of filtered seawater). There are 4 excel sheets, the first 3 contains the taxa abundance counts, the second contains the taxa names. For each taxa, values indicate abundance (according to standard CPR methodology, see Richardson et al. 2006, Prog in Oceanog 68. 27-74), values of 0.001 indicate presence only, zero values are absence of taxon. The excel file consists of samples in rows, with the following information in columns - A: midpoint of sample date and time gmt B: midpoint of sample latitude in decimal degrees C: midpoint of sample longitude in decimal degrees D:chlorophyll index E-onwards:taxa.
DOI: 10.6084/m9.figshare.22242082
title: VCaP_GR_siNON_Dex_rep1

description: VCaP_GR_siNON_Dex_rep1
DOI: 10.6084/m9.figshare.22242082.v1
title: VCaP_GR_siNON_Dex_rep1

description: VCaP_GR_siNON_Dex_rep1
DOI: 10.5519/qd.dn62yt9p
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1159 records)
DOI: 10.6084/m9.figshare.22128404
title: Mastigamoeba abducta transcriptome assembly

description: Raw Illumina RNA-Seq reads were quality and adapter trimmed by BBDuk v36.92 (part of BBTools: https://jgi.doe.gov/data-and-tools/bbtools/). Trimmed reads were assembled using Trinity v2.8.6 with default parameters.
DOI: 10.6084/m9.figshare.22128452
title: Mastigella eilhardi transcriptome assembly

description: Raw Illumina RNA-Seq reads were trimmed by Trimmomatic v.0.32 using the settings SLIDINGWINDOW:10:25 MINLEN:50. Trimmed reads were assembled using Trinity r20140717 with default parameters.
DOI: 10.6084/m9.figshare.22128452.v1
title: Mastigella eilhardi transcriptome assembly

description: Raw Illumina RNA-Seq reads were trimmed by Trimmomatic v.0.32 using the settings SLIDINGWINDOW:10:25 MINLEN:50. Trimmed reads were assembled using Trinity r20140717 with default parameters.
DOI: 10.6084/m9.figshare.22128461
title: Rhizomastix libera transcriptome assembly

description: Raw Illumina RNA-Seq reads were quality and adapter trimmed by BBDuk v36.92 (part of BBTools: https://jgi.doe.gov/data-and-tools/bbtools/). Trimmed reads were assembled using Trinity v2.8.6 with default parameters. <br>
DOI: 10.6084/m9.figshare.22128461.v1
title: Rhizomastix libera transcriptome assembly

description: Raw Illumina RNA-Seq reads were quality and adapter trimmed by BBDuk v36.92 (part of BBTools: https://jgi.doe.gov/data-and-tools/bbtools/). Trimmed reads were assembled using Trinity v2.8.6 with default parameters. <br>
DOI: 10.6084/m9.figshare.22242091
title: VCaP_GR_siNON_Dex_rep2

description: VCaP_GR_siNON_Dex_rep2
DOI: 10.6084/m9.figshare.22242091.v1
title: VCaP_GR_siNON_Dex_rep2

description: VCaP_GR_siNON_Dex_rep2
DOI: 10.6084/m9.figshare.22242100
title: VCaP_input_Dex_rep1

description: VCaP_input_Dex_rep1
DOI: 10.6084/m9.figshare.22242100.v1
title: VCaP_input_Dex_rep1

description: VCaP_input_Dex_rep1
DOI: 10.25345/c5sn01d9b
title: MassIVE MSV000091453 - GNPS Streptomyces sp. BRA-346 _ NP3_MS_workflow validation: proteasome inhitiion candidate
title: HPLC fractions from marine bacteria Streptomyces sp. BRA-346 ethyl acetate extract were submited to UPLC-MSMS analysis and NP3_MS_Workflow for obtaining most probable m/z (M+H) candidates responsable for biological activity (proteasome inhibition).
DOI: 10.6084/m9.figshare.22242106
title: VCaP_input_ENZ3w_Dex_rep1

description: VCaP_input_ENZ3w_Dex_rep1
DOI: 10.6084/m9.figshare.22242106.v1
title: VCaP_input_ENZ3w_Dex_rep1

description: VCaP_input_ENZ3w_Dex_rep1
DOI: 10.6084/m9.figshare.22242112
title: VCaP_input_ENZ3w_siFOXA1_Dex_rep1

description: VCaP_input_ENZ3w_siFOXA1_Dex_rep1
DOI: 10.6084/m9.figshare.22242112.v1
title: VCaP_input_ENZ3w_siFOXA1_Dex_rep1

description: VCaP_input_ENZ3w_siFOXA1_Dex_rep1
DOI: 10.6084/m9.figshare.22242124
title: VCaP_input_ENZ3w_siNON_Dex_rep1

description: VCaP_input_ENZ3w_siNON_Dex_rep1
DOI: 10.6084/m9.figshare.22242124.v1
title: VCaP_input_ENZ3w_siNON_Dex_rep1

description: VCaP_input_ENZ3w_siNON_Dex_rep1
DOI: 10.6084/m9.figshare.22241710
title: 22Rv1_FOXA1_ENZ3w_Dex_rep2

description: 22Rv1_FOXA1_ENZ3w_Dex_rep2
DOI: 10.6084/m9.figshare.22242133
title: VCaP_input_siFOXA1_Dex_rep1

description: VCaP_input_siFOXA1_Dex_rep1
DOI: 10.6084/m9.figshare.22242133.v1
title: VCaP_input_siFOXA1_Dex_rep1

description: VCaP_input_siFOXA1_Dex_rep1
DOI: 10.5525/gla.researchdata.1409
title: Quantum deep learning by sampling neural nets with a quantum annealer

description: Experimental results obtained from the quantum annealer.
DOI: 10.6084/m9.figshare.22242136
title: VCaP_input_siNON_Dex_rep1

description: VCaP_input_siNON_Dex_rep1
DOI: 10.6084/m9.figshare.22242136.v1
title: VCaP_input_siNON_Dex_rep1

description: VCaP_input_siNON_Dex_rep1
DOI: 10.6084/m9.figshare.22242142
title: VCaP_TLE3_ENZ3w_siFOXA1_Dex_rep1

description: VCaP_TLE3_ENZ3w_siFOXA1_Dex_rep1
DOI: 10.6084/m9.figshare.22242142.v1
title: VCaP_TLE3_ENZ3w_siFOXA1_Dex_rep1

description: VCaP_TLE3_ENZ3w_siFOXA1_Dex_rep1
DOI: 10.6084/m9.figshare.22242145
title: VCaP_TLE3_ENZ3w_siFOXA1_Dex_rep2

description: VCaP_TLE3_ENZ3w_siFOXA1_Dex_rep2
DOI: 10.6084/m9.figshare.22242145.v1
title: VCaP_TLE3_ENZ3w_siFOXA1_Dex_rep2

description: VCaP_TLE3_ENZ3w_siFOXA1_Dex_rep2
DOI: 10.5519/qd.pndl6yt5
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (7059 records)
DOI: 10.6084/m9.figshare.22242148
title: VCaP_TLE3_ENZ3w_siFOXA1_EtOH_rep1

description: VCaP_TLE3_ENZ3w_siFOXA1_EtOH_rep1
DOI: 10.6084/m9.figshare.22242148.v1
title: VCaP_TLE3_ENZ3w_siFOXA1_EtOH_rep1

description: VCaP_TLE3_ENZ3w_siFOXA1_EtOH_rep1
DOI: 10.6084/m9.figshare.22242154
title: VCaP_TLE3_ENZ3w_siFOXA1_EtOH_rep2

description: VCaP_TLE3_ENZ3w_siFOXA1_EtOH_rep2
DOI: 10.6084/m9.figshare.22242154.v1
title: VCaP_TLE3_ENZ3w_siFOXA1_EtOH_rep2

description: VCaP_TLE3_ENZ3w_siFOXA1_EtOH_rep2
DOI: 10.6084/m9.figshare.22242157.v1
title: VCaP_TLE3_ENZ3w_siNON_Dex_rep1

description: VCaP_TLE3_ENZ3w_siNON_Dex_rep1
DOI: 10.6084/m9.figshare.22242157
title: VCaP_TLE3_ENZ3w_siNON_Dex_rep1

description: VCaP_TLE3_ENZ3w_siNON_Dex_rep1
DOI: 10.6084/m9.figshare.22242160
title: VCaP_TLE3_ENZ3w_siNON_Dex_rep2

description: VCaP_TLE3_ENZ3w_siNON_Dex_rep2
DOI: 10.6084/m9.figshare.22242160.v1
title: VCaP_TLE3_ENZ3w_siNON_Dex_rep2

description: VCaP_TLE3_ENZ3w_siNON_Dex_rep2
DOI: 10.6084/m9.figshare.22242163
title: VCaP_TLE3_ENZ3w_siNON_EtOH_rep1

description: VCaP_TLE3_ENZ3w_siNON_EtOH_rep1
DOI: 10.6084/m9.figshare.22242163.v1
title: VCaP_TLE3_ENZ3w_siNON_EtOH_rep1

description: VCaP_TLE3_ENZ3w_siNON_EtOH_rep1
DOI: 10.6084/m9.figshare.22242166
title: VCaP_TLE3_ENZ3w_siNON_EtOH_rep2

description: VCaP_TLE3_ENZ3w_siNON_EtOH_rep2
DOI: 10.6084/m9.figshare.22242166.v1
title: VCaP_TLE3_ENZ3w_siNON_EtOH_rep2

description: VCaP_TLE3_ENZ3w_siNON_EtOH_rep2
DOI: 10.5281/zenodo.7693959
title: Detecting Symptoms of Depression on Reddit

description: Depression is known to have heterogeneous symptom manifestations. Investigating various symptoms of depression is essential to understanding underlying mechanisms and personalizing treatments. The current paper is to identify psycho-linguistic and open-vocabulary language markers associated with different symptoms using 1,318,749 posts from 43 subreddit communities (e.g., r/bingeeating) clustered into 13 expert-validated depression symptoms. The current paper has been accepted by WebSci ’23 as a full paper.
DOI: 10.6084/m9.figshare.22242169
title: VCaP_TLE3_siFOXA1_Dex_rep1

description: VCaP_TLE3_siFOXA1_Dex_rep1
DOI: 10.6084/m9.figshare.22242169.v1
title: VCaP_TLE3_siFOXA1_Dex_rep1

description: VCaP_TLE3_siFOXA1_Dex_rep1
DOI: 10.6084/m9.figshare.22242178
title: VCaP_TLE3_siFOXA1_Dex_rep2

description: VCaP_TLE3_siFOXA1_Dex_rep2
DOI: 10.6084/m9.figshare.22242178.v1
title: VCaP_TLE3_siFOXA1_Dex_rep2

description: VCaP_TLE3_siFOXA1_Dex_rep2
DOI: 10.6084/m9.figshare.22242184
title: VCaP_TLE3_siFOXA1_EtOH_rep1

description: VCaP_TLE3_siFOXA1_EtOH_rep1
DOI: 10.6084/m9.figshare.22242184.v1
title: VCaP_TLE3_siFOXA1_EtOH_rep1

description: VCaP_TLE3_siFOXA1_EtOH_rep1
DOI: 10.5281/zenodo.7708729
title: IODP Expedition 385 Scanning electron microscope images

description: Microscopic images of discrete samples were acquired using a scanning electron microscope (SEM) and captured as image files. These files were uploaded along with a brief description and a record of the microscopic conditions when the image was taken.
DOI: 10.5281/zenodo.7708730
title: IODP Expedition 385 Scanning electron microscope images

description: Microscopic images of discrete samples were acquired using a scanning electron microscope (SEM) and captured as image files. These files were uploaded along with a brief description and a record of the microscopic conditions when the image was taken.
DOI: 10.5281/zenodo.7713045
title: IODP Expedition 385 Scanning electron microscope images

description: Microscopic images of discrete samples were acquired using a scanning electron microscope (SEM) and captured as image files. These files were uploaded along with a brief description and a record of the microscopic conditions when the image was taken.
DOI: 10.6084/m9.figshare.22242193
title: VCaP_TLE3_siFOXA1_EtOH_rep2

description: VCaP_TLE3_siFOXA1_EtOH_rep2
DOI: 10.6084/m9.figshare.22242193.v1
title: VCaP_TLE3_siFOXA1_EtOH_rep2

description: VCaP_TLE3_siFOXA1_EtOH_rep2
DOI: 10.7489/12324-2
title: Dataset for ROAME ST014 Sources, sinks and hazards of micro-plastics in Scotland’s seas

description: Dataset for ROAME ST014 - contains positional data and items per km squared sea surface and per cubic metre of seawater. Also contains raw counts of microplastics per sample. Will be updated annually
description: Samples were collected using Marine Scotland Science protocols and SOPs. Sea surface water samples were collected with a 335 µm neuston net mounted on a catamaran swimmer body (Neuston Net acc. to David/Hempel Model 300) from January 2014 up to and including January 2020 using Marine Scotland Sciences’ research vessels MRVs Scotia and Alba na Mara and the Scottish Environment Protection Agency vessel the RV Sir John Murray. The primary purpose of these surveys is to collect water, sediment and fish samples for nutrient, chemical and biological effects monitoring. Piggybacking microplastic sampling on surveys with a different sampling purpose is the usual scenario, due to the expense of a dedicated survey and helps maximise the use of ship time. Towing times varied from 15 minutes to over 1 hour, depending on the available time and/or sea surface conditions. The average speed of the ship during towing was 5 knots (2.6 ms-1). Once towing was completed the net was rinsed into the cod end and the material in the cod end transferred to a sieve stack consisting of 5 mm and 125 µm aperture sieves and a base pan. The material was rinsed through the 5 mm sieve using fresh water. The material collected in the 125 µm sieve was examined and the microplastic particles collected and counted. Particular care was taken to check for microplastics adhering to larger material such as seaweed. The examination and picking of microplastics was carried out by two people, using a lighted magnifier, as a cross check that everything identified as plastic was collected. Potential microplastics were counted in categories – fibres, film, beads, nurdles, fragments, polystyrene and paint flakes. Although not included in this assessment material greater than 5 mm in its longest dimension was also collected and counted in the same categories. Post survey, a selection of microparticles were analysed by microscopy Fourier Transform Infrared Spectroscopy (microFTIR) to confirm that they were microplastics. Potential hotspots for microplastics were identified in the surveys.
DOI: 10.6084/m9.figshare.22242199
title: VCaP_TLE3_siNON_Dex_rep1

description: VCaP_TLE3_siNON_Dex_rep1
DOI: 10.6084/m9.figshare.22242199.v1
title: VCaP_TLE3_siNON_Dex_rep1

description: VCaP_TLE3_siNON_Dex_rep1
DOI: 10.6084/m9.figshare.22242205
title: VCaP_TLE3_siNON_Dex_rep2

description: VCaP_TLE3_siNON_Dex_rep2
DOI: 10.6084/m9.figshare.22242205.v1
title: VCaP_TLE3_siNON_Dex_rep2

description: VCaP_TLE3_siNON_Dex_rep2
DOI: 10.6084/m9.figshare.22242214
title: VCaP_TLE3_siNON_EtOH_rep1

description: VCaP_TLE3_siNON_EtOH_rep1
DOI: 10.6084/m9.figshare.22242214.v1
title: VCaP_TLE3_siNON_EtOH_rep1

description: VCaP_TLE3_siNON_EtOH_rep1
DOI: 10.6084/m9.figshare.22242226
title: VCaP_TLE3_siNON_EtOH_rep2

description: VCaP_TLE3_siNON_EtOH_rep2
DOI: 10.6084/m9.figshare.22242226.v1
title: VCaP_TLE3_siNON_EtOH_rep2

description: VCaP_TLE3_siNON_EtOH_rep2
DOI: 10.5281/zenodo.7708733
title: IODP Expedition 385 Thin section images

description: Hard rock and sediment thin section images were acquired using either the JRSO-developed Petrographic Image Capture and Archival Tool (PICAT) imager or (rarely) an upright microscope and a digital camera. Sample images are acquired in unpolarized, polarized, and/or cross-polarized light. Image files are presented compressed by hole.
DOI: 10.5281/zenodo.7708734
title: IODP Expedition 385 Thin section images

description: Hard rock and sediment thin section images were acquired using either the JRSO-developed Petrographic Image Capture and Archival Tool (PICAT) imager or (rarely) an upright microscope and a digital camera. Sample images are acquired in unpolarized, polarized, and/or cross-polarized light. Image files are presented compressed by hole.
DOI: 10.5281/zenodo.7713057
title: IODP Expedition 385 Thin section images

description: Hard rock and sediment thin section images were acquired using either the JRSO-developed Petrographic Image Capture and Archival Tool (PICAT) imager or (rarely) an upright microscope and a digital camera. Sample images are acquired in unpolarized, polarized, and/or cross-polarized light. Image files are presented compressed by hole.
DOI: 10.5281/zenodo.7703193
title: Detecting Symptoms of Depression on Reddit

description: Depression is known to have heterogeneous symptom manifestations. Investigating various symptoms of depression is essential to understanding underlying mechanisms and personalizing treatments. We use Reddit posts from depression and mental health-related subreddits to detect symptoms of depression in a distantly supervised manner. Specifically: - We identified the online language markers of 13 symptoms of depression using 1,318,749 posts from 43 subreddit communities.<br> - We built 13 prediction models (based on RoBERTa embeddings) that can detect specific symptom discourse vs. posts from control subreddits contributed by the same Reddit users.<br> - We validated the prediction models on a sample who shared their Facebook posts and also took self-report depression (PHQ-9), anxiety (GAD-7), and loneliness (UCLA-3) surveys. The description of the data and models is part of our paper published at the 15th ACM Web Science Conference 2023 as a full paper. <br> <strong>Brief Description of the Lexica </strong> We employed happierfuntokenizer from the DLATK Python library to tokenize all posts. Using Latent Dirichlet Allocation (LDA) with MALLET implementation, we generated 200 topics at an alpha level of 5. We then analyzed the topic distribution of all posts in the Reddit dataset for each depression symptom. The current data includes: symptom vs. control symptom vs. control + all other symptoms To learn more about how to utilize the lexica, please refer to this link: https://github.com/sjgiorgi/dlatk-lexica
DOI: 10.5281/zenodo.7693958
title: Detecting Symptoms of Depression on Reddit

description: Depression is known to have heterogeneous symptom manifestations. Investigating various symptoms of depression is essential to understanding underlying mechanisms and personalizing treatments. We use Reddit posts from depression and mental health-related subreddits to detect symptoms of depression in a distantly supervised manner. Specifically: - We identified the online language markers of 13 symptoms of depression using 1,318,749 posts from 43 subreddit communities.<br> - We built 13 prediction models (based on RoBERTa embeddings) that can detect specific symptom discourse vs. posts from control subreddits contributed by the same Reddit users.<br> - We validated the prediction models on a sample who shared their Facebook posts and also took self-report depression (PHQ-9), anxiety (GAD-7), and loneliness (UCLA-3) surveys. The description of the data and models is part of our paper published at the 15th ACM Web Science Conference 2023 as a full paper. <br> <strong>Brief Description of the Lexica </strong> We employed happierfuntokenizer from the DLATK Python library to tokenize all posts. Using Latent Dirichlet Allocation (LDA) with MALLET implementation, we generated 200 topics at an alpha level of 5. We then analyzed the topic distribution of all posts in the Reddit dataset for each depression symptom. The current data includes: symptom vs. control symptom vs. control + all other symptoms To learn more about how to utilize the lexica, please refer to this link: https://github.com/sjgiorgi/dlatk-lexica
DOI: 10.5519/qd.cs1wn61b
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (2695 records)
DOI: 10.34740/kaggle/dsv/5135566
title: Mahanagar Yatayat Dataset
DOI: 10.5281/zenodo.7713056
title: SCEVAN vignettes data

description: SCEVAN vignettes data
DOI: 10.5281/zenodo.7713055
title: SCEVAN vignettes data

description: SCEVAN vignettes data
DOI: 10.23728/b2share.bac13f04b466443b911dcf6a2af8c15f
title: Air quality data from the LIFE+RESPIRA project in Pamplona, Spain: PM1 (20h CET) (interpolated GeoTIFF)

description: GeoTIFF file including interpolated air quality data from the LIFE+RESPIRA project (http://www.liferespira.eu/) in Pamplona, Spain, with measures of PM1, aggregated by hour (20h CET).