cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.28735595.v1
title: 更改的原始数据

description: 非洲猪瘟 （ASF） 由非洲猪瘟病毒 （ASFV） 引起，是一种传染性很强的出血性疾病，对全球养猪业造成严重的社会经济影响。尽管为开发有效的控制策略做出了巨大努力，但 缺乏有效的体外模型仍然是一个关键障碍。一个关键挑战在于 ASFV 的趋向性受限;它强烈感染原代猪肺泡巨噬细胞 （PAM），并且在大多数传代细胞系中表现出较差的复制效果，阻碍了机制研究和抗病毒开发。为了解决这一限制，我们对感染早期 ASFV 感染的 PAM （原代细胞） 和 ZMAC-4 细胞 （传代巨噬细胞系） 进行了比较转录组学分析。我们的研究结果揭示了两种细胞类型之间病毒易感性和宿主反应的显着差异。转录组分析确定了关键途径的不同激活： ZMAC-4 细胞主要上调氧化应激相关途径，而 PAMs 表现出强大的细胞因子信号传导和免疫激活。通过敲低和过表达实验对差异表达基因 （DEGs） 的进一步分析表明，junctophilin-4 （JPH4） 和细胞色素 P450 1A1 （CYP1A1） 是两个潜在的宿主限制因子。本研究描述了 ASFV 允许细胞与半允许细胞中的早期宿主病毒动力学，提供了对嗜性的机制见解，并强调 JPH4/CYP1A1 是抗病毒策略的新靶点。这些发现为合理设计抗病毒策略和改进疫苗平台奠定了基础，从而解决了非洲猪瘟研究中的关键空白。
DOI: 10.17632/ww2xtbr2yt
title: LINF_180021600

description: Kinesin-like protein; Leishmania infantum (strain JPCM5)
DOI: 10.6084/m9.figshare.25688505.v1
title: MGX_annotations, MTX_annotations and pairwise DESeq2 comparisons at the orthologous group level

description: Large datasets for reproducing figures in the skin metatranscriptomics project
DOI: 10.6084/m9.figshare.29206592.v1
title: Permafrost ground temperature and active layer thickness data on the Qinghai–Tibet Plateau (2001–2020)

description: This dataset contains long-term permafrost monitoring data from the Qinghai–Tibet Plateau (QTP) spanning 2001 to 2020. It includes annual records of ground temperature and active layer thickness (ALT) from multiple sites across different alpine vegetation zones and elevations. The Excel file provides annual averages of ground temperature at various depths (TTOP, 10 m, and 15 m), as well as ALT values derived from temperature profiles. These data are useful for studies on permafrost dynamics, climate change impacts, and model validation in high-altitude permafrost regions.
DOI: 10.6084/m9.figshare.7234676.v1
title: Historical land use dataset of the Carpathian region (1819–1980)

description: We produced the first spatially explicit, cross-border, digital map of long-term (160 years) land use in the Carpathian Ecoregion, the Hungarian part of the Pannonian plains and the historical region of Moravia in the Czech Republic. We mapped land use in a regular 2 × 2 km point grid. Our dataset comprises of 91,310 points covering 365,240 km<sup>2</sup> in seven countries (Czechia, Slovakia, Austria, Hungary, Poland, Ukraine and Romania). We digitized three time layers: (1) for the Habsburg period, we used maps of the second Habsburg military survey from years 1819–1873 at the scale 1:28,800 and the Szatmari's maps from years 1855–1858 at scale 1:57,600; (2) The World Wars period was covered by national topographic maps from years 1915–1945 and scales here ranged between 1:20,000–1:100,000; and (3) the Socialist period was mapped from national topographic maps for the years 1950–1983 at scales between 1:25,000–1:50,000. We collected metadata about the years of mapping and map sources. We used a hierarchical legend for our maps, so that the land use classification for the entire region consisted of 9 categories at the most general level and of 22 categories depending on the period and a country.
DOI: 10.6084/m9.figshare.27100795.v1
title: Susastho adolescent Dataset_24.09.24.xlsx

description: A dataset for adolescents has been gathered in SRMH(Sexual, Reproductive & Mental Health) domain. The aim of this dataset is to build a conversational agent in Bengali which will mitigate the lack of knowledge of the adolescent regarding these topics and would also act as a bridge to minimize the gaps and foster understanding in this target populations. The dataset is divided into 2 domains which are Sexual & Reproductive and Mental Health.<br>Sexual Reproductive Health consists of a total 1966 data of which 756 were contextual. Moreover, Mental Health consists of 470 data of which 146 were contextual. These data were augmented later for a total of 7278 data of which 5849 was of Sexual Reproductive Health. The percentage of raw data for the Sexual & Reproductive and Mental Health are 80.7% to 19.3% respectively. Furthermore, the percentage of augmented data for SRMH are 80.4% to 19.6% respectively. This clearly shows that we have a skewed distribution and the dataset is imbalanced. Also the data is created to act as a knowledgebase for a conversational agent.
DOI: 10.6084/m9.figshare.28596725.v1
title: <b>China's food demand from 2020 to 2100 across the five </b><b>shared socioeconomic pathways</b>

description: Building on the vast heterogeneity in dietary practices and population size across China, which contributed to profound regional disparities in food demand, we incorporated regional dietary preferences and energy needs across different age groups, genders, and residential statuses to estimate future regional dietary patterns and project raw grain demand for 13 major foods (rice, wheat, maize, tubers, highland barley, beans, pork, beef, mutton, poultry, aquatic products, eggs, and dairy products) in China from 2020 to 2100 across the five shared socioeconomic pathway (SSP) scenarios at the provincial level.The projected diets were proven to be consistent with Chinese dietary practices and fulfilled macronutritionsrequirements, compared to dietary guidelines from the EAT-Lancet Commission, the Chinese Nutrition Society, and major peer studies. Diet directly relates to food security, human health, and environmental sustainability. The dataset developed in this study provides detailed demand information at both spatial and food-specific levels, offering valuable insights for conducting food management strategies tailored to regional needs and optimizing resource allocation strategies. The data unit is ten thousand tons.
DOI: 10.6084/m9.figshare.29105468.v1
title: data for Shipping Nitrogen Oxides Recycling via Isoprene Nitrate Amplifies Forest Ozone

description: We combine field sampling at a coastal site southeast of Hong Kong and numerical air quality modelling to analyze nitrogen oxides dynamics in marine and forested environments.
DOI: 10.6084/m9.figshare.3983985.v1
title: 20 Maize Hybrids Genotyped

description: These data has 20 maize hybrids genotyped for 768 Small Nuclear Polymorphisms markers.Hybrids represent the Brazilian commercial germoplasm.Hybrids in line and markers in columns.None Quality control applied to the markers (MAF and Call Rate).<br>The Genotypes are as nitrogenous bases (ex. G/G) and missing data as -/-.
DOI: 10.17632/d6k5v2rmyx
title: Avocado tree point clouds before and after pruning

description: LiDAR scans of 10 avocado trees, captured by LiDAR scan before and after two stages of pruning (selective limb removal and mechanical hedging). The different stages are stored in separate folders: * "1-uncut": before any pruning took place * "2-limb": after limb removal, before hedging * "3-hedge": after limb removal and hedging Each point cloud is stored as a binary file with the following format (d = 8-byte double): 3d,d Each line in the file has the fields: x,y,z,height XYZ is in North-East-Down orientation. The data was created in, and is easy to view using, ACFR comma/snark open-source tools (https://github.com/acfr/comma/wiki)
DOI: 10.17632/yz53hthkhk
title: Biowaste to carbon capture: LCA

description: The aim of the study was to compare Polyethylene terephthalate (PET) plastic bottle production and Polyethylene furanoate (PEF) plastic bottle production which uses captured carbon, by using a Life Cycle Assessment (LCA). From this, its viability in replacing PET on a global scale would have been determined. The scope of the LCA catered for a cradle to gate system boundary being utilized, and the functional units being used were 1 ton of PET and 1 ton of PEF. The software utilized for the LCA was SimaPro and in this software, a ReCiPe 2016 methodology was utilized to obtain the LCIA results. It was concluded that the production of PEF produced a higher rate of environmental emissions and impacts. It was also noted however that other research conducted previously has shown the opposite. This conclusion guides the other conclusion of more research being required for PEF production as it is still a new field of research. Another simple conclusion involved the general encouragement of recycling. A major limitation involved the use of a cradle to gate analysis as opposed to cradle to grave. A recommendation would be for further research to involve cradle to grave system boundaries, as well as the exploration of other biomasses.
DOI: 10.6084/m9.figshare.1146328.v1
title: Double Header Solar Windmill

description: Double Header Solar Windmill
DOI: 10.6084/m9.figshare.23560323.v1
title: The impact social media use on adolescent development and functioning- A South African perspective.docx

description: The findings of the study indicated that adolescent social media use affected growth and development within all the ecological systems of the participants. Participants were also affected in terms of their biological development (i.e., physical, cognitive, emotional, social, moral as well as their identity development). Numerous safety concerns and risks that exist for young individuals who are growing up in an era where social media and ICTs cannot be avoided was evident, leading to the recommendations that were made for professionals that work with the development and treatment of this vulnerable population group. The recommendations that were suggested for professionals, relevant organisations, families and communities to adopt and follow can make a difference to safeguard children and adolescents from the harmful effects that social media use can hold for all consumers and assist them to reap the benefits that such platforms can provide.
DOI: 10.17632/zv8sfy9g8h
title: 21st-century sustainability of olive production threatened by water stress and declining solar activity

description: Dataset for: 
 
21st-century sustainability of olive production threatened by water stress and declining solar activity 
 
David Kaniewski, Nick Marriner, Jean-Frédéric Terral, Guillaume Besnard, Labrini Tsitsou, Jülide Topsakal, Christophe Morhange, Thierry Otto, Frédéric Luce, Rachid Cheddadi 
 
 
 Data 1 Olive pollen influx
 Data 2 Sinusoidal model
 Data 3 Precipitation
DOI: 10.6084/m9.figshare.19287389.v2
title: S1 Dataset for "Sizing up spotted lanternfly nymphs for instar determination and allometry"

description: Code and data required to reproduce all results and figures.<br>
DOI: 10.18739/a2g44hs2w
title: Seasonal soil active layer measurements from a Circumpolar Active Layer monitoring (CALM) grid, (U28) 'Kougarok' (U28), Alaska

description: This site is registered with the Circumpolar Active Layer Monitoring (CALM) program. It is one among a network of sites that represent a coordinated effort to standardize the collection and access to thaw measurements in representative undisturbed permafrost landscapes. This dataset contains long-term spatial thaw depth observations using mechanical probing on dates indicated by file column headers. To ensure relative consistency within the record, end-of-season measurement dates are within the same Julian calendar week during the height of the thaw season (mid-August to mid-September). It is important to note that the date of maximum annual thaw, interpreted as the active layer thickness, can vary from year to year and between sites.
DOI: 10.15468/dl.j95suf
title: Occurrence Download

description: A dataset containing 92 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "TaxonKey is Arctostaphylos moranii P.V.Wells"
 ]
}

 The dataset includes 92 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016431-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n3grzb
title: Occurrence Download

description: A dataset containing 65827 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Mycobacterium Lehmann & Neumann, 1896"
 ]
}

 The dataset includes 65827 records from 508 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016424-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25346/s6/lvrrae/kkypug
title: drone_2030_01.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/auqcag
title: drone_2001_03.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/n4kxqz
title: drone_1040_01.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/ugpadi
title: drone_4020_01.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/73ev3w
title: drone_0024_03.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/r3msze
title: drone_0420_03.mat

description: File uploaded via API
DOI: 10.15468/dl.pwxud7
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((132.93106 33.50438,133.85003 30.86033,142.73349 33.14604,141.38566 36.31727,132.93106 33.50438))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Beroida"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004516-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25346/s6/lvrrae/m8suv5
title: drone_0310_05.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/nxccti
title: drone_0032_04.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/pu8kp8
title: drone_4100_01.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/lxvavk
title: drone_0043_03.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/7n6jk0
title: drone_0310_04.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/jdzs9q
title: drone_1040_04.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/pa4e3g
title: drone_0402_05.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/vhblbo
title: drone_0430_05.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/mjuokn
title: drone_0012_03.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/3ei8le
title: drone_0420_02.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/8kakh7
title: drone_3010_02.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/vyxcr6
title: drone_3200_03.mat

description: File uploaded via API
DOI: 10.15468/dl.preqva
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Nipponnemertes magnus",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004517-260126135527185/datasets/export for details.
DOI: 10.25346/s6/lvrrae/tu2yut
title: drone_0014_05.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/ce4tx9
title: drone_0103_03.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/4owklh
title: drone_0102_02.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/dndcqd
title: drone_0203_05.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/eop9vy
title: drone_1003_02.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/qdfbad
title: drone_1004_02.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/brdgja
title: drone_0120_01.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/u05qjd
title: drone_0120_00.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/nmqveb
title: drone_3200_02.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/zrwcdh
title: drone_1003_01.mat

description: File uploaded via API
DOI: 10.15468/dl.73uhez
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Perca fluviatilis",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1840",
 "Year is less than or equal to 1844"
 ]
}

 The dataset includes 6 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004518-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25346/s6/lvrrae/bikw55
title: drone_0012_04.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/kzvcsb
title: drone_3100_01.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/sl57h3
title: drone_0014_00.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/zgjcvv
title: drone_0012_01.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/4ytiqm
title: drone_1003_04.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/ckuujd
title: drone_3002_01.mat

description: File uploaded via API
DOI: 10.15468/dl.j4pauk
title: Occurrence Download

description: A dataset containing 9723 records in GBIF matching the query:
SELECT
 '522' AS fish_cell,
 GBIF_MGRSCode(1000, decimalLatitude, decimalLongitude, 0) AS cell, -- NO randomization
 COUNT(DISTINCT speciesKey) AS species_richness
 FROM occurrence
 WHERE hasCoordinate = TRUE
 AND speciesKey IS NOT NULL
 AND NOT ARRAY_CONTAINS(issue, 'ZERO_COORDINATE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_OUT_OF_RANGE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_INVALID')
 AND NOT ARRAY_CONTAINS(issue, 'COUNTRY_COORDINATE_MISMATCH')
 AND decimalLatitude &gt;= 51.21395264452012
 AND decimalLatitude &lt;= 56.135291543055025
 AND decimalLongitude &gt;= 100.2215702458641
 AND decimalLongitude &lt;= 115.12816301363911
 AND "year" &gt;= 2015
 AND "year" &lt;= 2026
 AND (coordinateUncertaintyInMeters &lt;= 100 OR coordinateUncertaintyInMeters IS NULL)
 GROUP BY fish_cell, cell

 The dataset's 9723 records were derived from 57 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004489-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25346/s6/lvrrae/eqx7kr
title: drone_0042_04.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/piod26
title: drone_3400_04.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/ghn1el
title: drone_0240_01.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/6sfia0
title: drone_0310_01.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/fzoqcu
title: drone_0401_05.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/twfv9b
title: drone_0014_03.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/vjhp8x
title: drone_1020_04.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/lencxu
title: drone_4001_05.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/dbo1ob
title: drone_4010_02.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/e9hu2b
title: drone_0034_05.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/yczd6n
title: drone_3010_00.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/1lnha7
title: drone_0023_00.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/sytbfg
title: drone_0024_01.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/tjb5gw
title: drone_0014_01.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/s3acnm
title: drone_2001_04.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/flrlnk
title: drone_1002_02.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/xyeuot
title: drone_0102_04.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/tjqmuv
title: drone_1004_00.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/bp37mk
title: drone_0210_05.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/qw3uyf
title: drone_0403_05.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/8ou6na
title: drone_1300_00.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/vezxah
title: drone_0203_03.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/i4w4uv
title: drone_4003_01.mat

description: File uploaded via API
DOI: 10.5061/dryad.ghx3ffc2s
title: Lactose operon sequences from: Spatial-scale evolutionary bias sheds light on the latitudinal diversity gradient

description: We placed the ancestral strain lac-ancestor of Escherichia coli K-12
 GM4792 in two types of plates (Blue-plate and White-plate) for
 experimental evolution, with 24 replicates in each group. Both types of
 plates contained liquid medium and semi-solid medium sections. After 13
 days of evolution, we randomly selected one single clone from both the
 liquid and semi-solid media of the 24 Blue plates for sequencing, and also
 sequenced one single clone from the semi-solid medium of the 24
 White-plates, for a total of 72 single clones sequenced. We sequenced a
 gene fragment in the lactose operon region. The data show the sequence
 alignment of these 72 single clones. Additionally, we also included the
 gene sequences of the lac-ancestor and Escherichia coli K-12 MG1655.
description: # Lactose operon sequences from: Spatial-scale evolutionary bias sheds
 light on the latitudinal diversity gradient Dataset DOI:
 [10.5061/dryad.ghx3ffc2s](https://doi.org/10.5061/dryad.ghx3ffc2s) ##
 Description of the data and file structure This dataset consists of a
 **sequence alignment file** (Sequence_Alignment.fas in fastq format) of an
 873bp segment of the lactose operon region gene. These sequences are
 derived from 72 single clones from the ancestral strain lac-ancestor
 (*Escherichia coli* K-12 GM4792) and *Escherichia coli* K-12 MG1655. These
 72 single clones come from two types of plates (Blue-plate and Whsingle
 cloneshich were used for the spatial-scale evolutionary bias experimental
 evolution. Through this sequence alignment, a 212bp sequence deletion can
 be observed, which characterizes *Escherichia coli* K-12 GM4792 used in
 our study. Additionally, mutation sites associated with lactose
 utilization evolution can be seen in 24 single clones derived from the
 Blue-plate.
DOI: 10.25346/s6/lvrrae/kttzwj
title: drone_3020_04.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/3zsy35
title: drone_1003_03.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/socvsw
title: drone_1040_05.mat

description: File uploaded via API
DOI: 10.15468/dl.syubm8
title: Occurrence Download

description: A dataset containing 5801 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-105.39452 49.60850,-96.56680 49.60850,-96.56680 53.56309,-105.39452 53.56309,-105.39452 49.60850))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Melanerpes erythrocephalus"
 ]
}

 The dataset includes 5801 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004519-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25346/s6/lvrrae/5ljao4
title: drone_0140_00.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/kavjfn
title: drone_0320_01.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/anojhc
title: drone_0403_01.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/3hfp02
title: drone_0203_02.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/klaxml
title: drone_0204_00.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/lb2lgb
title: drone_3004_02.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/7bcct7
title: drone_0012_05.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/mtado2
title: drone_0031_02.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/szigba
title: drone_0104_04.mat

description: File uploaded via API
DOI: 10.25346/s6/lvrrae/lnu4ei
title: drone_1002_00.mat

description: File uploaded via API