cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/hjx4n72hjc
title: discussions under the topic "Mutant strain XBB is coming" on Q&A platform Zhihu

description: This dataset contains all posts with a comment count greater than 5 under the XBB topic on Zhihu, a Chinese question-and-answer social platform. The “all posts” excel file lists the information of the posts, and the folder contains excel files named after the IDs of the posts, each file contains all the comments under the corresponding post. The data collection was done in February, 2023.

ID : the ID number of posts;
author: the username of posts/comments' authors;
author_headline: profiles of authors' accounts;
content: the text of posts/comments;
link: the website address of posts;
comment_count: the number of comments a post receives;
created_time: the time on which the comment was published;
like: the count of "like" a comment receives;
dislike: the count of "dislike" a comment receives.
DOI: 10.17632/hwpvspbc2j
title: Load-Price-Wind

description: Load-Price-Wind
DOI: 10.25582/data.2024-03.3076824/2540723
title: Data for EMSL Project 51287 from March 2024
DOI: 10.3535/9ws-fnz-bev
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/plz-s9x-kv1
title: Plectochitina aff. nodifera

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/kep-7xw-mqz
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/mm3-d7b-hx4
title: Conochitina cf. sp. 3

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/8mp-rst-cvt
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/kep-ngc-v5l
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.25582/data.2024-03.3076829/2540724
title: Data for EMSL Project 51287 from March 2024
DOI: 10.3535/84d-d4n-dmg
title: Belonechitina postrobusta

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/qwv-k12-k9h
title: Ancyrochitina  cf. sp. b

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/3k9-dxt-qt9
title: Conochitina cf. argillophila

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/eb5-j8s-86e
title: Specimen from Tallinn University of Technology

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/yll-5mc-bw4
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/zxl-6f7-l5s
title: Ancyrochitina cf. longispina

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.25582/data.2024-03.3076830/2540725
title: Data for EMSL Project 51287 from March 2024
DOI: 10.3535/l5q-s0b-wa2
title: †Rhynchotrema Hall, 1860

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/t7f-50p-jef
title: Margachitina cf. margaritana

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/5gk-5ej-p2n
title: Eisenackitina sp.

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/kxc-fp9-pe1
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/5mm-663-3b6
title: Sphaerochitina sp. 1

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/lk7-77t-57h
title: Erythrite

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.25582/data.2024-03.3076831/2540726
title: Data for EMSL Project 51287 from March 2024
DOI: 10.3535/0r7-243-7t6
title: Calcite

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/pse-xw9-9n2
title: Aluminite

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.17632/bhxn64ytnn
title: Inbreeding coefficients and runs of homozygosity islands in Brazilian water buffalo - Supplementary material

description: Supplementary material from the paper "Inbreeding coefficients and runs of homozygosity islands in Brazilian water buffalo" published in the Journal of Dairy Science (https://doi.org/10.3168/jds.2020-18397). ABSTRACT - Characterization of autozygosity is relevant to monitor genetic diversity and manage inbreeding levels in breeding programs. Identification of autozygosity hotspots can unravel genomic regions targeted by selection for economically important traits and can help identify candidate genes for selection. In this study, we estimated the inbreeding levels of a Brazilian population of Murrah buffalo undergoing selection for milk production traits, particularly milk yield. We also studied the distribution of runs of homozygosity (ROH) islands and identified putative genes and quantitative trait loci (QTL) under selection. We genotyped 422 Murrah buffalo for 51,611 SNP; 350 of these had ROH longer than 10 Mb, indicating the occurrence of inbreeding in the last 5 generations. The mean length of the ROH per animal was 4.28 ± 1.85 Mb. Inbreeding coefficients were calculated from the genomic relationship matrix, the pedigree, and the ROH, with estimates varying between 0.242 and 0.035. Inbreeding estimates from the pedigree had a low correlation with the genomic estimates, and estimates from the genomic relationship matrix were much higher than those from the pedigree or the ROH. Signatures of selection were identified in 6 genomic regions, located on chromosomes 1, 2, 3, 5, 16, and 18, encompassing a total of 190 genes and 174 QTL. Many of the genes (e.g., APRT and ACSF3) and QTL identified are related to milk production traits, such as milk yield, milk fat yield and percentage, and milk protein yield and percentage. Other genes are associated with reproduction and immune response traits as well as morphological aspects of the buffalo species. Inbreeding levels in this population are still low but are increasing due to selection and should be managed to avoid future losses due to inbreeding depression. The proximity of genes linked to milk production traits with genes associated with reproduction and immune system traits suggests the need to include these latter genes in the breeding program to avoid negatively affecting them due to selection for production traits.
DOI: 10.17632/fz4wsdtpvz
title: Gorba and Cebrian 2021 Journal of Phonetics

description: Excel files with the results of experiment 1 (production of Spanish k and p and of English k and p), and the results of experiment 2 (identification of p-b k-g continua in Spanish and in English. Sound files used in the identification tasks (stimuli in the continua)
DOI: 10.3535/a10-4k9-k9d
title: with bite marks

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/tlx-ve1-3gf
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/47d-6dz-cbs
title: Granite

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/zpa-7d8-dk1
title: Conochitina cf. emmastensis

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.17632/6f8nyyr6n9
title: Data for: IDENTIFYING AND CHARACTERIZING DUST POINT SOURCES IN THE SOUTHWESTERN UNITED STATES USING REMOTE SENSING AND GIS

description: This file contains the location of the detected dust point sources.
DOI: 10.25582/data.2024-03.3076832/2540727
title: Data for EMSL Project 51287 from March 2024
DOI: 10.3535/b5n-9jv-sqh
title: Conochitina claviformis

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/bcg-map-957
title: Eisenackitina lagenomorpha

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.26390911.v2
title: Metric scores

description: Raw metrics scores from the feature selection for scRNA-seq integration benchmark. Each file contains scores for one experiment that forms part of the benchmark.
DOI: 10.3535/87j-6e5-v36
title: Hematite

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/q2c-zel-prx
title: Salopochitina filifera

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/n2p-546-s8e
title: Aragonite

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.17632/9yzy868kyj
title: Data for: Evaluation of a course to prepare volunteers to support individuals with dementia in the community

description: Evaluations from a short course for volunteers working to support clients with dementia in their own homes
DOI: 10.3535/860-21r-xwn
title: Dolerite

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/kzm-3vj-w7b
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/zsp-bby-xx8
title: Diorite

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.12554735.v1
title: Shark Data Mossel bay 2018.xlsx

description: The data comprises of white shark observation trips made in Mossel Bay, South Africa in the year 2018. Variables recorded include: Number of sharks, time taken for first shark arrival, sea state, wind direction, water visibility, number of males, number of females, maximum size, minimum size, trip duration, site location and water temperature.<br>Two observation sites were used within Mossel Bay. Seal Island was visited for data collection from March to December, Grootbrak for January, February and December. One to three trips took place every day for 191 days throughout 2018. <br>The surface water temperature was taken using the vessels onboard thermometer (Furuno integrated thermometer) recorded to nearest 0.5 degrees celsius. The water visibility and sea state was recorded. Wind direction was recorded at time of anchoring. Morning trips anchored before 11am SAST and afternoon trips took place after 11am SAST. White sharks were attracted to the vessel using chum (Lacroche et al. 2007) as an olfactory stimulus; a bait line consisting of a big eye tuna head to simulate struggling prey; and a seal decoy made from synthetic foam, cut in the shape and size of a Cape fur seal pup. <br>Upon anchoring the white sharks were attracted using these techniques, and the time taken for the first shark to appear was recorded. The shark was then drawn close to the vessel using the bait line for clearer observation. Great care was taken to avoid the shark consuming the bait line to prevent the sharks associating boats with feeding opportunities. Sharks were sexed once close to the vessel based on the presence or absence of claspers. observations were taken both above and below the waters surface. Underwater observations were made in a shark diving cage attached to the vessel. The shark cage (3.3m) was used as a reference to estimate shark length when the shark swam past the cage. The estimation was made by experienced shark observers. Lastly the trips duration was recorded from time of anchoring to time of departure. <br>All procedures performed in this study involving white sharks were in accordance with the ethical standards of national department of environmental affairs marine living resources act, 1998 (Act no.18 of 1998) policy on white shark cage diving.
DOI: 10.17632/tyfkfhh8vx
title: Instances and Code of the Paper "The Path-Precedence Constrained Knapsack Problem with Unit Weights: Exact Algorithms, Linear Formulations and Instances"

description: These files have all the data and code required to reproduce the experiments presented in the paper "The Path-Precedence Constrained Knapsack Problem with Unit Weights: Exact Algorithms, Linear Formulations and Instances". That scientific paper is available for free in the proceedings of the LVI Brazilian Symposium on Operations Research (SBPO 2024) and may be cited as:

Monteiro, Cristiano Martins; Figueiredo, Tatiane Fernandes; del Priore, Joaquín; Xavier, Eduardo Candido; Negrotto, Daniel. The Path-Precedence Constrained Knapsack Problem with Unit Weights: Exact Algorithms, Linear Formulations and Instances. In: Anais do LVI Simpósio Brasileiro de Pesquisa Operacional; 2024. Available at: https://proceedings.science/sbpo/sbpo-2024/papers/the-path-precedence-constrained-knapsack-problem-with-unit-weights-exact-algorit?lang=en.

This dataset is composed by two files:
- The file PathPrecedenceConstrainedKnapsack-UnitWeights.ipynb is a Jupyter notebook with all the algorithms and formulations proposed in the paper.
- The file instances_ppckp-uw.xlsx has all the instances described in the paper. The first worksheet presents the name of the instances, the capacity value considered and the optimal value obtained. The other worksheets show the data for each instance.

The source codes, the instances and the scientific paper were made by the same authors.
All authors work at the Shipping Optimization Team (SOT), which is part of the Shipping Operational Research Team (SOR) from Mercado Libre (Argentina) and Mercado Livre (Brazil).
DOI: 10.25582/data.2024-03.3076836/2540728
title: Data for EMSL Project 51287 from March 2024
DOI: 10.3535/5t1-ak9-mzs
title: biotite granite

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/b13-8g7-l55
title: Syenite

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.17632/8f4ky92by9
title: Snow surveys and bulk snowpack isotopic composition in the south of the Western Siberia (Russia)

description: Climate change has a profound impact on seasonal snow cover, yet obtaining robust snowpack data remains a challenge. There is a significant lack of ground-based observations to validate remote sensing and model outputs. In Siberia, observation networks are sparse, and snow station locations do not always accurately represent the region's diverse landscapes. This study aimed to expand the observational coverage of climate stations and assess snowpack variability across different ecosystems. Our focus was on capturing snow conditions in various ecosystem types within the southern West Siberian Plain and the Altai low mountain region.

We conducted our research in two primary catchments: Kasmala (forest-steppe) and Mayma (low mountains). Observations were carried out during peak snow accumulation (late February – early March). Data collection in the Kasmala catchment took place from 2011 to 2014 and 2017 to 2019, while in the Mayma catchment, observations were conducted from 2015 to 2019. These efforts were supported by state-funded projects at the Institute for Water and Environmental Problems SB RAS.

In 2019, the 3S (South Siberian Snowpack) project, funded by RFBR (N 19-35-60006, 2019–2022) at Lomonosov Moscow State University, further expanded the observation network. As part of this project, we extended observations to cover the entire winter season of 2019–2020 in three catchments: Kuchuk (steppe), Kasmala (forest-steppe), and Mayma (low mountains). Additionally, the 3S project consolidated existing data into a unified snow property dataset, including snow depth, density, and SWE (snow water equivalent).

Observation Methods
Until 2019, observations were conducted along snow courses and small snow sites:

Snow courses ranged from 500 m to 2 km, with depth measurements every 20 m and density measurements every 100–200 m.
Snow sites consisted of two perpendicular transects (20 or 50 m), with 20 depth and 5 density measurements per site.
From 2019 to 2022, under the 3S project, the observation scheme was revised:

All measurements were conducted at snow sites using a standardized sampling approach proposed by Jost et al. (2007).
Each site included 61 depth and 13 density measurements.
Over three winter seasons (2019–2022), we conducted 26,360 depth and 5,616 density measurements across the three catchments.
For data consistency, we strongly recommend aggregating measurements by snow courses, sites, or catchments rather than using individual values.

Latest Updates (v5 2025):
Snow observations from the 2021/2022 season are now included.
The complete 2019–2022 database has been finalized.
A new dataset on bulk snowpack isotopic composition (2019–2022) has been added.
DOI: 10.17632/fwfr3xfj62
title: Table 2. Skin Aging. Exclusion factors in volunteers interested in the study

description: Of the 64 participants enrolled in the study, 33 were automatically excluded according to the exclusion criteria described in table 2.
DOI: 10.3535/8dq-v3s-mcd
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/l52-0vr-l17
title: Gabbro

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/p4b-sgk-hlg
title: Cyathochitina cf. kuckersiana

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.17632/c59jkmxh8w
title: Metals and nutrients record in karstical aquifer
DOI: 10.25582/data.2024-03.3076837/2540729
title: Data for EMSL Project 51287 from March 2024
DOI: 10.3535/789-jr8-kxq
title: Specimen from Tallinn University of Technology

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/9vt-hgn-nfe
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.26196254.v3
title: Hospital accessibility Gini index

description: Ensuring equitable access to health services is crucial for public welfare and social equity, and is a key objective of the United Nations' Sustainable Development Goals (SDGs). However, existing datasets often define hospital accessibility using travel time to hospitals in geographic dimension only, without considering the supply (hospital capacity) and demand (population distribution) dynamics. To overcome this limitation, we developed and validated a national-scale 1 KM map of both hospital travel time and hospital accessibility in China. We used Gaussian two-step floating catchment area (Ga2SFCA) model to calculate hospital accessibility, incorporating hospital capacity and service population. Various file types and statistical indicators are provided, making the dataset highly accessible for non-specialists. The dataset fills the gap in publicly available nationwide hospital accessibility data for China and can serve as a critical tool in optimizing resource allocation and developing targeted strategies to improve healthcare equity.
DOI: 10.3535/ez8-cbw-cnm
title: Ancyrochitina diabolus

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/z0z-f0b-qh8
title: Angochitina sp.

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.10120211.v5
title: database of two experiments.zip

description: This databse is used for the manuscript entitled "visual attention during encoding is not sole determinant factor for the emotion-induced trade-off: Evidence from directed forgetting paradigm".
DOI: 10.3535/z6j-fzs-lmq
title: Hybosteus sp.

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/zvc-tfv-5fr
title: †Hesperorthis Schuchert & Cooper, 1931

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.7151510.v1
title: KAxis_otu_table_1973.csv

description: <b><i>Sampling</i></b> Samples were collected on board the <i>RSV Aurora Australis </i>between 22 January and 17 February 2016. The cruise surveyed the region south of the Kerguelen Plateau including the Princess Elizabeth Trough and BANZARE Bank in a series of eight transects covering 8165 km. Plankton communities were collected at 45 conductivity temperature depth (CTD) stations and seven additional underway stations, with biological replicates collected at two stations (52 independent sites). Surface water was sampled from 4 ± 2 m depth using the uncontaminated seawater line. Deep Chlorophyll Maximum (DCM, 10-74 m) water samples were obtained using 10 L Niskin bottles mounted on a Seabird 911+ CTD. Plankton communities were size-fractionated by sequentially filtering 10 L seawater through 25 mm 20 µm (nylon) and 5 µm filters (PVDF), and 0.45 µm Sterivex filters (PVDF). Filters were stored frozen at -80 °C. <b><i><br></i></b> <b><i>DNA extraction and high-throughput sequencing</i></b> DNA was extracted from half of each filter using the MoBio PowerSoil DNA Isolation kit at the Australian Genome Research Facility (AGRF, Adelaide, Australia; http://www.agrf.org.au). The V4 region of the 18S rDNA (approximately 380 bp excluding primers) was PCR-amplified using universal eukaryotic primers from all extracts and sequenced on an Illumina MiSeq v2 (2 x 250 bp paired-end) following the Ocean Sampling Day protocol (Piredda et al. 2017). Amplicon library preparation and high-throughput sequencing were carried out at the Ramaciotti Centre for Genomics (Sydney, Australia). <br>Sequence analysis, OTU picking and assignment followed the Biomes of Australian Soil Environments (BASE) workflow (Bissett et al. 2016). Taxonomy was assigned to OTUs based on the PR2 database using the ‘classify.seqs’ command in mothur version 1.31.2 with default settings and a bootstrap cut-off of 60%. OTUs representing any terrestrial contaminants (e.g. human) and samples with low sequencing coverage (&lt;7000 reads) were removed from the dataset. <br>The date of sea ice melt for each station was estimated from daily SSM/I-derived sea-ice spatial concentration from the National Snow and Ice Data Centre (NSIDC) at 25 x 25 km resolution. Days since melt was considered to be the number of days between the date on which sea ice concentration first fell below 15% and the date of sampling. Other environmental variables included are <i>in situ</i> chlorophyll <i>a</i>, as an indicator of biological production, and near-surface salinity (mean over the upper 10 m) as an indicator for recent sea ice melt. Both environmental measurements were taken from the associated CTD seawater samples. The surface chlorophyll <i>a</i> in seawater (1-2 L) collected in Niskin bottles was analysed by high performance liquid chromatography (HPLC, provided by Karen Westwood & Imojen Pearce, Australian Antarctic Division, doi:10.4225/15/5a94c701b98a8).
DOI: 10.25582/data.2024-03.3076838/2540730
title: Data for EMSL Project 51287 from March 2024
DOI: 10.3535/3ag-zqf-77d
title: †Isorthis Kozlowski, 1929

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/rjg-txj-d8r
title: Kujdanowiaspis podolica (Brotzen, 1934)

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/qfd-tlj-6j2
title: Tourmaline

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/x7l-qa4-2ch
title: Sphaerochitina indecora

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