cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.26180/19836160.v1
title: Participant responses to Round 1 Survey and coded answers

description: This dataset is in response to questions about footwear definitions, naming conventions and when they would be worn.
DOI: 10.6084/m9.figshare.19306787
title: Supplementary File S4d – Omicsbox GFF3 annotation of protein coding genes in the scaffolds

description: This files contains information about functionally-annotated protein-coding genes for the scaffolded version of the <em>O. australiensis</em> Keep River genome assembly stored at NCBI in contig form: JAIFGZ000000000. Scaffolds can be obtained using the AGP file provided in this repository to order and orient the contigs. Note: contigs that could not be placed within scaffolds were annotated as individual contigs, not as ChrUn. Therefore, when using the AGP file to build scaffolds from the contigs, ChrUn lines should be excluded. Also note: this files contains annotations for the discarded contigs (REPEAT, JUNK and HAPLOTIG).
DOI: 10.6084/m9.figshare.19306787.v2
title: Supplementary File S4d – Omicsbox GFF3 annotation of protein coding genes in the scaffolds.gff3

description: This files contains information about functionally-annotated protein-coding genes for the scaffolded version of the <i>O. australiensis</i> Keep River genome assembly stored at NCBI in contig form: JAIFGZ000000000. Scaffolds can be obtained using the AGP file provided in this repository to order and orient the contigs. Note: contigs that could not be placed within scaffolds were annotated as individual contigs, not as ChrUn. Therefore, when using the AGP file to build scaffolds from the contigs, ChrUn lines should be excluded. Also note: this files contains annotations for the discarded contigs (JUNK and HAPLOTIG).
DOI: 10.17632/tr4dtgr8h9.6
title: CCCODE

description: CCCODE
DOI: 10.18112/openneuro.ds003381.v1.0.1
title: Estimation of in-scanner head pose changes during structural MRI using a convolutional neural network trained on eye tracker video
DOI: 10.17632/jnhhh4v9zm.1
title: Multi-omics data integration provides insights into the post-harvest biology of an Italian long shelf-life tomato landrace

description: In this study we investigated the transcriptome and epigenome dynamics of the tomato fruit during post-harvest in ‘Lucariello’. ‘Lucariello’ belongs to a group of landraces collectively known as ‘Piennolo del Vesuvio’. This dataset includes:
- RPKM expression values from three post-harvest stages of Lucariello fruits, time points RD0, RD60 and RD150. Each group has three biological replicates. The listed loci are from the Lucariello reference genome
- Raw expression counts of miRNA from the same samples
- DNA gene methylation levels from the same samples, divided for CG, CHG and CHH context
DOI: 10.5067/gpm/ssmis/f16/gprofclim/2a/07
title: GPM SSMIS on F16 (GPROF) Climate-based Radiometer Precipitation Profiling 1.5 hours 12 km V07
DOI: 10.5067/gpm/ssmis/f17/gprofclim/2a/07
title: GPM SSMIS on F17 (GPROF) Climate-based Radiometer Precipitation Profiling 1.5 hours 12 km V07
DOI: 10.5067/gpm/dprgmi/cmb/3b-month/07
title: GPM DPR and GMI (Combined Precipitation) L3 1 month 0.25 degree x 0.25 degree V07
DOI: 10.5067/gpm/dprgmi/csh/3b-month/07
title: GPM DPR and GMI Combined Convective Stratiform Heating L3 1 month 0.5 degree x 0.5 degree V07
DOI: 10.5067/gpm/ssmis/f18/gprofclim/2a/07
title: GPM SSMIS on F18 (GPROF) Climate-based Radiometer Precipitation Profiling 1.5 hours 12 km V07
DOI: 10.5067/gpm/ssmis/f19/gprofclim/2a/07
title: GPM SSMIS on F19 (GPROF) Climate-based Radiometer Precipitation Profiling 1.5 hours 12 km V07
DOI: 10.5067/gpm/amsr2/gcomw1/gprofclim/2a/07
title: GPM AMSR-2 on GCOM-W1 (GPROF) Climate-based Radiometer Precipitation Profiling L2A 1.5 hours 10 km V07
DOI: 10.5067/gpm/mhs/metopa/gprofclim/2a/07
title: GPM MHS on METOP-A (GPROF) Radiometer Precipitation Profiling L2A 1.5 hours 17 km V07
DOI: 10.5067/gpm/mhs/metopb/gprofclim/2a/07
title: GPM MHS on METOP-B (GPROF) Climate-based Radiometer Precipitation Profiling L2A 1.5 hours 17 km V07
DOI: 10.5067/gpm/mhs/metopc/gprofclim/2a/07
title: GPM MHS on METOP-C (GPROF) Climate-based Radiometer Precipitation Profiling L2A 1.5 hours 17 km V07
DOI: 10.5067/gpm/mhs/noaa18/gprofclim/2a/07
title: GPM MHS on NOAA-18 (GPROF) Radiometer Precipitation Profiling L2A 1.5 hours 17 km V07
DOI: 10.5067/gpm/mhs/noaa19/gprofclim/2a/07
title: GPM MHS on NOAA-19 (GPROF) Radiometer Precipitation Profiling L2A 1.5 hours 17 km V07
DOI: 10.5067/gpm/gmi/3a-month/07
title: GPM GMI (GPROF) Radiometer Precipitation Profiling L3 1 month 0.25 degree x 0.25 degree V07
DOI: 10.5067/gpm/ssmis/f16/gprofclim/3a-month/07
title: GPM SSMIS on F16 (GPROF) Climate-based Radiometer Precipitation Profiling L3 1 month 0.25 degree x 0.25 degree V07
DOI: 10.5067/gpm/atms/noaa20/gprofclim/2a/07
title: GPM ATMS on NOAA-20 (GPROF) Climate-based Radiometer Precipitation Profiling L2A 1.5 hours 17 km V07
DOI: 10.5067/gpm/atms/npp/gprofclim/2a/07
title: GPM ATMS on SUOMI-NPP (GPROF) Radiometer Precipitation Profiling L2 1.5 hours 16 km V07
DOI: 10.5067/gpm/ssmis/f16/gprofclim/3a-day/07
title: GPM SSMIS on F16 (GPROF) Climate-based Radiometer Precipitation Profiling L3 1 day 0.25 degree x 0.25 degree V07
DOI: 10.5067/gpm/ssmis/f17/gprofclim/3a-month/07
title: GPM SSMIS on F17 (GPROF) Climate-based Radiometer Precipitation Profiling L3 1 month 0.25 degree x 0.25 degree V07
DOI: 10.5067/gpm/ssmis/f17/gprofclim/3a-day/07
title: GPM SSMIS on F17 (GPROF) Climate-based Radiometer Precipitation Profiling L3 1 day 0.25 degree x 0.25 degree V07
DOI: 10.5067/gpm/ssmis/f18/gprofclim/3a-month/07
title: GPM SSMIS on F18 (GPROF) Climate-based Radiometer Precipitation Profiling L3 1 month 0.25 degree x 0.25 degree V07
DOI: 10.5067/gpm/ssmis/f18/gprofclim/3a-day/07
title: GPM SSMIS on F18 (GPROF) Climate-based Radiometer Precipitation Profiling L3 1 day 0.25 degree x 0.25 degree V07
DOI: 10.5067/gpm/ssmis/f19/gprofclim/3a-month/07
title: GPM SSMIS on F19 (GPROF) Climate-based Radiometer Precipitation Profiling L3 1 month 0.25 degree x 0.25 degree V07
DOI: 10.5067/gpm/ssmis/f19/gprofclim/3a-day/07
title: GPM SSMIS on F19 (GPROF) Climate-based Radiometer Precipitation Profiling L3 1 day 0.25 degree x 0.25 degree V07
DOI: 10.5067/gpm/gmi/gprofclim/3a-day/07
title: GPM GMI (GPROF) Climate-based Radiometer Precipitation Profiling L3 1 day 0.25 degree x 0.25 degree V07
DOI: 10.5067/gpm/amsr2/gcomw1/gprofclim/3a-day/07
title: GPM AMSR-2 on GCOM-W1 (GPROF) Climate-based Radiometer Precipitation Profiling L3 1 day 0.25 degree x 0.25 degree V07
DOI: 10.5067/gpm/gmi/gprofclim/3a-month/07
title: GPM GMI (GPROF) Climate-based Radiometer Precipitation Profiling L3 1 month 0.25 degree x 0.25 degree V07
DOI: 10.5067/gpm/mhs/metopa/gprofclim/3a-day/07
title: GPM MHS on METOP-A (GPROF) Radiometer Precipitation Profiling L3 1 day 0.25 degree x 0.25 degree V07
DOI: 10.5067/gpm/mhs/metopb/gprofclim/3a-day/07
title: GPM MHS on METOP-B (GPROF) Climate-based Radiometer Precipitation Profiling L3 1 day 0.25 degree x 0.25 degree V07
DOI: 10.5067/gpm/mhs/metopc/gprofclim/3a-day/07
title: GPM MHS on METOP-C (GPROF) Climate-based Radiometer Precipitation Profiling L3 1 day 0.25 degree x 0.25 degree V07
DOI: 10.5067/gpm/mhs/noaa18/gprofclim/3a-day/07
title: GPM MHS on NOAA18 (GPROF) Radiometer Precipitation Profiling L3 1 day 0.25 degree x 0.25 degree V07
DOI: 10.5067/gpm/mhs/noaa19/gprofclim/3a-day/07
title: GPM MHS on NOAA19 (GPROF) Radiometer Precipitation Profiling L3 1 day 0.25 degree x 0.25 degree V07
DOI: 10.5067/gpm/atms/noaa20/gprofclim/3a-day/07
title: GPM ATMS on NOAA-20 (GPROF) Climate-based Radiometer Precipitation Profiling L3 1 day 0.25 degree x 0.25 degree V07
DOI: 10.5067/gpm/atms/npp/gprofclim/3a-day/07
title: GPM ATMS on SUOMI-NPP (GPROF) Radiometer Precipitation Profiling L3 1 day 0.25 degree x 0.25 degree V07
DOI: 10.6084/m9.figshare.19835908.v1
title: Monkeypox virus mutation From 2001 to 2022

description: Two data samples were selected for the study, both from the monkeypox virus grouping of the NCBI database. Sample 1 is the result of sampling in 2001 and the sequencing result obtained in 2020. Sample 2 is the result of sampling and sequencing on May 20, 2022. The corresponding gene The serial numbers are GenBank: MN702453.1, GenBank: ON563414.1, and the DNA lengths are 189632 bp and 197128 bp, respectively. The study found 5 complete inserted genes, proving that the monkeypox virus circulating around the world has a stronger risk of carcinogenesis than the early monkeypox virus. Even if the patient does not die during the onset, it is still possible cancer death. <br> 研究选取两个数据样本，均来自NCBI数据库的猴痘病毒分组，样本1为2001年采样，2020年得出的测序结果，样本2为2022年5月20日采样并测序的结果，对应的基因编号分别是GenBank: MN702453.1、GenBank: ON563414.1，DNA长度分别是189632 bp、197128 bp。研究找到5段完整的插入基因，证明本次在世界范围内流行的猴痘病毒与早期猴痘病毒相比，有更强的致癌风险，即便患者没有在发病期间死亡，依然有可能在随后患癌死亡。
DOI: 10.5519/qd.bb5mmqaw
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (43 records)
DOI: 10.6084/m9.figshare.16681849
title: Wuhan mesh data

description: This dataset is collected from a residential area in Wuhan (China), which covers an area of 0.53km<sup>2</sup>, including about 20 million faces. We generated the mesh data from oblique aerial images with a ground sample distance (GSD) of 5cm. We manually annotated the dataset and divided it into 7 object categories, namely <em>roof</em>, <em>façade</em>, <em>window</em>, <em>impervious surface</em>, <em>tree</em>, <em>vehicle</em> and <em>low vegetation</em>.
DOI: 10.25919/ddq5-9j38
title: Processed analyte measurements from the Great Barrier Reef's Marine Monitoring Program.

description: These data accompany a manuscript that examines data from the Great Barrier Reef MMP inshore water quality program (MMP WQ) and assesses the impact that the sampling re-design had on the power to detect trends in six priority water quality analytes, which is a primary objective of the MMP WQ. The manuscript details are Luke R. Lloyd-Jones, Petra M. Kuhnert, Emma Lawrence, Stephen E. Lewis, Jane Waterhouse, Renee K. Gruber and Frederieke J. Kroon. Sampling re-design increases power to detect change in the Great Barrier Reef’s inshore water quality. 2022. The dataset in file GBR-MMPDataset-processed-power.csv file contains data from the MMP WQ monitoring program. The current MMP WQ monitors the inshore waters of the GBR Marine Park across five of the six Natural Resource Management (NRM) regions: Cape York, Wet Tropics, Burdekin, Mackay-Whitsunday, and Fitzroy. In our study, we consider monitoring data collected across four study areas within three of these NRM regions, namely the Russell-Mulgrave and Tully study areas (within the Wet Tropics NRM region), the Burdekin study area (i.e., the Burdekin NRM region), and the Mackay-Whitsunday study area (i.e., the Mackay-Whitsunday NRM region). The data uses inshore water quality data obtained from ambient monitoring using grab samples at fixed locations across these four study areas from 2005 to 2019. The data used are combined from across two research organisations that monitor different spatiotemporal components of the GBR. The institutions include the Australian Institute of Marine Science (AIMS) and James Cook University (JCU). The MMP WQ conducts ambient water quality monitoring, including grab sampling during non-event periods (i.e., outside river flooding events), to collect a suite of physical, chemical, and biological water quality analytes at each sampling location. These data are for six water quality analytes, namely total suspended solids (TSS), Secchi disc depth (Secchi), Chlorophyll a (Chl-a), particulate nitrogen (PN), particulate phosphorus (PP), and nitrate/nitrite (NOx). These six analytes are considered relatively robust indicators that integrate several bio-physical processes in the coastal ocean, and water quality guideline values are available for all six of these analytes.
DOI: 10.6084/m9.figshare.19807702.v2
title: task4

description: data training
DOI: 10.6084/m9.figshare.19807702.v3
title: task4

description: data training
DOI: 10.6084/m9.figshare.19807702.v4
title: task4

description: data training
DOI: 10.6084/m9.figshare.19807702
title: task4

description: data training
DOI: 10.6084/m9.figshare.19187240
title: Data of paper 'Combined Scattering of Concurrent Unusual High Frequency EMIC Waves and MS Waves on Radiation Belt Electrons'

description: The zip 'Figure Data_v2.7z' provides codes and data to plot figures in the pare titled 'combined scattering of concurrent unusual high frequency EMIC waves and MS waves on radiation belt electrons'. There are 4 folders in 'Figure Data.7z'. Each folder contains the neccessary data for the corresponding figure, code that can be easily run to plot the figure, and a 'ReadMe.txt'.
DOI: 10.6084/m9.figshare.19807702.v6
title: task4

description: data training
DOI: 10.6084/m9.figshare.19187240.v2
title: Data of paper 'Combined Scattering of Concurrent Unusual High Frequency EMIC Waves and MS Waves on Radiation Belt Electrons'

description: The zip 'Figure Data_v2.7z' provides codes and data to plot figures in the pare titled 'combined scattering of concurrent unusual high frequency EMIC waves and MS waves on radiation belt electrons'. There are 4 folders in 'Figure Data.7z'. Each folder contains the neccessary data for the corresponding figure, code that can be easily run to plot the figure, and a 'ReadMe.txt'.
DOI: 10.6084/m9.figshare.19807702.v5
title: task4

description: data training
DOI: 10.6084/m9.figshare.19187240.v1
title: Data of paper 'Combined Scattering of Concurrent Unusual High Frequency EMIC Waves and MS Waves on Radiation Belt Electrons'

description: The zip 'Figure Data.7z' provides codes and data to plot figures in the pare titled 'combined scattering of concurrent unusual high frequency EMIC waves and MS waves on radiation belt electrons'. There are 4 folders in 'Figure Data.7z'. Each folder contains the neccessary data for the corresponding figure, code that can be easily run to plot the figure, and a 'ReadMe.txt'.
DOI: 10.6084/m9.figshare.19828945.v1
title: Temporal and Spatial Variation of Wetland CH4 Emissions from the Qinghai–Tibet Plateau under Future Climate Change Scenarios

description: The temporal and spatial variation in CH<sub>4</sub> emissions from natural wetlands on the Qinghai–Tibet Plateau from 2008 to 2100 by TRIPLEX-GHG model under Representative Concentration Pathways (RCP) 2.6, 4.5, and 8.5.
DOI: 10.5281/zenodo.6575204
title: Multiwave structure of traveling ionospheric disturbances excited by the Tonga volcanic eruptions observed by a dense GNSS network in China

description: The processed TEC data on 2022 January 15.
DOI: 10.5281/zenodo.6575203
title: Multiwave structure of traveling ionospheric disturbances excited by the Tonga volcanic eruptions observed by a dense GNSS network in China

description: The processed TEC data on 2022 January 15.
DOI: 10.34740/kaggle/dsv/3685965
title: BBC News
DOI: 10.34740/kaggle/dsv/3685994
title: Our World in Data - COVID-19
DOI: 10.6084/m9.figshare.19800025
title: NorESM-L modeling data for the study of tropical seaways

description: This data archive is shared for our prepared manuscript entitled "Recognizing the Role of Tropical Seaways in Modulating the Pacific Circulation", which will be submitted to the journal "Geophysical Research Letters ". A description of the data can be found in the "README" file.
DOI: 10.6084/m9.figshare.19828945.v2
title: Temporal and Spatial Variation of Wetland CH4 Emissions from the Qinghai–Tibet Plateau under Future Climate Change Scenarios

description: The temporal and spatial variation in CH<sub>4</sub> emissions from natural wetlands on the Qinghai–Tibet Plateau from 2008 to 2100 by TRIPLEX-GHG model under Representative Concentration Pathways (RCP) 2.6, 4.5, and 8.5.
DOI: 10.6084/m9.figshare.19837483
title: Validación Chilena del Cuestionario CHQ.xlsx

description: The basic dataset of a study designed to generate evidence of the validity and reliability of the Caregiving Helplessness Questionnaire (CHQ) (George & Solomon, 2011). The study focused on a population of Chilean mothers, fathers, and caregivers of children aged 3 to 11, performing analyses in two age groups: 3-5 years old and 6-11 years old. Data was collected through online questionnaires, with 1,494 participants who met the inclusion criteria.
DOI: 10.6084/m9.figshare.19837483.v1
title: Validación Chilena del Cuestionario CHQ.xlsx

description: The basic dataset of a study designed to generate evidence of the validity and reliability of the Caregiving Helplessness Questionnaire (CHQ) (George & Solomon, 2011). The study focused on a population of Chilean mothers, fathers, and caregivers of children aged 3 to 11, performing analyses in two age groups: 3-5 years old and 6-11 years old. Data was collected through online questionnaires, with 1,494 participants who met the inclusion criteria.
DOI: 10.6084/m9.figshare.19837477
title: nsso_west_bengal1.sav

description: This is a nationally representative stratified random sample of over 445,960 persons, from 63318 rural households and 37263 urban households spread over the country, was surveyed. The West Bengal segment, which I am concentrating on for my dissertation, covers a sample size of 5300 individuals. The NSS data gives us the information on social groups, the detailed list of the occupations in each class, localities (i.e. rural or urban) one belongs to, the household characteristics, the types of educational institutions, the constraints of educational institutions, and the highest level of education attained, among many others, are critical for my analysis.
DOI: 10.5281/zenodo.6575197
title: MELA Dataset: A Benchmark for Mediastinal Lesion Analysis (Training Set Part 1)

description: MELA dataset is a benchmark for developing algorithms on mediastinal lesion analysis. We hope this large-scale dataset could facilitate the research and application of automatic mediastinal lesion detection and diagnosis. MELA dataset contains 1100 CT scans collected from patients with one or more lesions in the mediastinum. The MELA dataset is split into a subset of 770 CT scans for training, a subset of 110 CT scans for validation, and a test set of 220 CT scans for evaluation. Due to the size limit of zenodo.org, we split the MELA training set into 3 parts; this is the Training Set Part 1 of MELA dataset, including 260 CTs. Files include: Train1.zip: 130 CTs in NII format (nii.gz). Train2.zip: 130 CTs in NII format (nii.gz).
DOI: 10.5281/zenodo.6441359
title: MELA Dataset: A Benchmark for Mediastinal Lesion Analysis (Training Set Part 1)

description: MELA dataset is a benchmark for developing algorithms on mediastinal lesion analysis. We hope this large-scale dataset could facilitate the research and application of automatic mediastinal lesion detection and diagnosis. MELA dataset contains 1100 CT scans collected from patients with one or more lesions in the mediastinum. The MELA dataset is split into a subset of 770 CT scans for training, a subset of 110 CT scans for validation, and a test set of 220 CT scans for evaluation. Due to the size limit of zenodo.org, we split the MELA training set into 3 parts; this is the Training Set Part 1 of MELA dataset, including 260 CTs. Files include: Train1.zip: 130 CTs in NII format (nii.gz). Train2.zip: 130 CTs in NII format (nii.gz).
DOI: 10.6084/m9.figshare.19837921
title: Dataset.zip

description: related to manuscript
DOI: 10.6084/m9.figshare.19837921.v1
title: Dataset.zip

description: related to manuscript
DOI: 10.6084/m9.figshare.19828945
title: test

description: ch4 fluxes
DOI: 10.6084/m9.figshare.19828945.v4
title: test

description: ch4 fluxes
DOI: 10.6084/m9.figshare.19828945.v3
title: Temporal and Spatial Variation of Wetland CH4 Emissions from the Qinghai–Tibet Plateau under Future Climate Change Scenarios

description: The temporal and spatial variation in CH<sub>4</sub> emissions from natural wetlands on the Qinghai–Tibet Plateau from 2008 to 2100 by TRIPLEX-GHG model under Representative Concentration Pathways (RCP) 2.6, 4.5, and 8.5.
DOI: 10.48370/ofd/qbvcba
title: Myodes glareolus - 15916, Zoological collection of the Mammal Research Institute, PAS

description: Myodes glareolus (Bank vole) from Zoological collection of the Mammal Research Institute, PAS. Collected 1955-11-16, in: Białowieża National Park, Poland. Material type:
DOI: 10.48370/ofd/q11y1y
title: Myodes glareolus - 143051, Zoological collection of the Mammal Research Institute, PAS

description: Myodes glareolus (Bank vole) from Zoological collection of the Mammal Research Institute, PAS. Collected 1982-09-23, in: Białowieża National Park, Poland. Material type:
DOI: 10.48370/ofd/7mrnli
title: Myodes glareolus - 16043, Zoological collection of the Mammal Research Institute, PAS

description: Myodes glareolus (Bank vole) from Zoological collection of the Mammal Research Institute, PAS. Collected 1955-11-22, in: Białowieża National Park, Poland. Material type:
DOI: 10.48370/ofd/gvlgqr
title: Myodes glareolus - 16094, Zoological collection of the Mammal Research Institute, PAS

description: Myodes glareolus (Bank vole) from Zoological collection of the Mammal Research Institute, PAS. Collected 1955-11-24, in: Białowieża National Park, Poland. Material type:
DOI: 10.48370/ofd/0o9pje
title: Myodes glareolus - 111223, Zoological collection of the Mammal Research Institute, PAS

description: Myodes glareolus (Bank vole) from Zoological collection of the Mammal Research Institute, PAS. Collected 1973-10-18, in: Białowieża National Park, Poland. Material type:
DOI: 10.48370/ofd/4vj3eh
title: Myodes glareolus - 141452, Zoological collection of the Mammal Research Institute, PAS

description: Myodes glareolus (Bank vole) from Zoological collection of the Mammal Research Institute, PAS. Collected 1982-05-19, in: Białowieża National Park, Poland. Material type:
DOI: 10.48370/ofd/z86h3h
title: Myodes glareolus - 13583, Zoological collection of the Mammal Research Institute, PAS

description: Myodes glareolus (Bank vole) from Zoological collection of the Mammal Research Institute, PAS. Collected 1955-09-05, in: Białowieża National Park, Poland. Material type:
DOI: 10.48370/ofd/yrwg0o
title: Myodes glareolus - 147055, Zoological collection of the Mammal Research Institute, PAS

description: Myodes glareolus (Bank vole) from Zoological collection of the Mammal Research Institute, PAS. Collected 1983-07-12, in: Białowieża National Park, Poland. Material type:
DOI: 10.48370/ofd/4qyi3u
title: Myodes glareolus - 168555, Zoological collection of the Mammal Research Institute, PAS

description: Myodes glareolus (Bank vole) from Zoological collection of the Mammal Research Institute, PAS. Collected 2002-09-18, in: Białowieża National Park, Poland. Material type:
DOI: 10.48370/ofd/jdou22
title: Myodes glareolus - 129856, Zoological collection of the Mammal Research Institute, PAS

description: Myodes glareolus (Bank vole) from Zoological collection of the Mammal Research Institute, PAS. Collected 1978-09-15, in: Białowieża National Park, Poland. Material type:
DOI: 10.48370/ofd/bjlfgo
title: Myodes glareolus - 5748, Zoological collection of the Mammal Research Institute, PAS

description: Myodes glareolus (Bank vole) from Zoological collection of the Mammal Research Institute, PAS. Collected 1954-08-02, in: Białowieża National Park, Poland. Material type:
DOI: 10.48370/ofd/5g0n35
title: Myodes glareolus - 168409, Zoological collection of the Mammal Research Institute, PAS

description: Myodes glareolus (Bank vole) from Zoological collection of the Mammal Research Institute, PAS. Collected 2002-07-09, in: Białowieża National Park, Poland. Material type:
DOI: 10.48370/ofd/kaargc
title: Myodes glareolus - 153469, Zoological collection of the Mammal Research Institute, PAS

description: Myodes glareolus (Bank vole) from Zoological collection of the Mammal Research Institute, PAS. Collected 1986-09-19, in: Białowieża National Park, Poland. Material type:
DOI: 10.48370/ofd/ccaewh
title: Myodes glareolus - 7248, Zoological collection of the Mammal Research Institute, PAS

description: Myodes glareolus (Bank vole) from Zoological collection of the Mammal Research Institute, PAS. Collected 1954-12-04, in: Białowieża National Park, Poland. Material type: