cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.18710/8acz2a
title: Replication Data for: Optimizing recruitment in an online environmental PPGIS—is it worth the time and costs?

description: &lt;p&gt;&lt;b&gt;Dataset description:&lt;/b&gt;&lt;/p&gt;
&lt;p&gt;This dataset contains the information needed to replicate the results presented in the article “Optimizing recruitment in an online environmental PPGIS—is it worth the time and costs?”. The data were collected as part of a study investigating recruitment strategies for a large-scale online public participation GIS (PPGIS) platform in coastal areas of northern Norway. To investigate different recruitment strategies, we reviewed previous environmental PPGIS studies using random sampling and methods to increase response rates. We compared the attained results with our large-scale PPGIS in northern Norway, where we used both random and volunteer (traditional and social media) sampling. The dataset includes response rates for the 5% of the population (13 regions in northern Norway) recruited by mail to participate in an online PPGIS survey, response rates from volunteers recruited through traditional and social media, synthetic demographic data, and the code necessary for processing demographic data to obtain the results presented in the article. Original demographic data is not shared due to privacy legislation. We furthermore calculated time spent and costs used for recruiting both randomly sampled persons and volunteers.&lt;/p&gt;
description: &lt;p&gt;&lt;b&gt;Article abstract:&lt;/b&gt;&lt;/p&gt; 
Public participation GIS surveys use both random and volunteer sampling to recruit people to participate in a self-administered mapping exercise online. In random sampling designs, the participation rate is known to be relatively low and biased to specific segments (e.g., middle-aged, educated men). Volunteer sampling provides the opportunity to reach a large crowd at reasonable costs but generally suffers from unknown sampling biases and lower data quality. The low participation rates and the quality of mapping question the validity and generalizability of the results, limiting their use as a democratic tool for enhancing participation in spatial planning. We therefore asked: How can we increase participation in online environmental PPGIS surveys? Is it worth the time and costs? We reviewed environmentally related online PPGIS surveys (n=26) and analyzed the sampling biases and recruitment strategies utilized in a large-scale online PPGIS platform in coastal areas of northern Norway via both random (16978 invited participants) and volunteer sampling. We found that the time, effort, and costs required to increase participation rates yielded meager results. We discuss the time and cost efficiency of different recruitment methods and the implications of participation levels despite the recruitment methods used.
description: Maptionnaire
DOI: 10.18710/8yjftx/gai5rn
title: 21_Participant_2_Transcription.pdf

description: Interview transcription including researcher's notes from first round thematic analysis
DOI: 10.18710/8yjftx/pug3hm
title: 18_Participant_14_SER_Survey_Redacted_Sanitized.pdf

description: Digital survey results
DOI: 10.18710/ixw3va/buisom
title: 00_ReadMe.txt

description: Read this first
DOI: 10.18710/mtuavq/1bv8di
title: 20230521_BJN_REDTEC_gal.txt
DOI: 10.18710/mtuavq/2a7xqn
title: 20230804_BJN_REDTEC_gal.txt
DOI: 10.18710/mtuavq/2ivvzo
title: 20230524_BJN_REDTEC_gal.txt
DOI: 10.18710/mtuavq/4bzonw
title: 20230416_BJN_REDTEC_gps.txt
DOI: 10.18710/mtuavq/cbfved
title: 20230702_BJN_REDTEC_glo.txt
DOI: 10.18710/mtuavq/dj8wu0
title: 20230726_BJN_REDTEC_glo.txt
DOI: 10.18710/mtuavq/gnqa7g
title: 20230408_BJN_REDTEC_gal.txt
DOI: 10.18710/mtuavq/jmegwx
title: 20230509_BJN_REDTEC_gal.txt
DOI: 10.18710/mtuavq/kpqpac
title: 20230805_BJN_REDTEC_gal.txt
DOI: 10.18710/mtuavq/nxbgtq
title: 20230604_BJN_REDTEC_glo.txt
DOI: 10.18710/mtuavq/odh6qi
title: 20230525_BJN_REDTEC_gps.txt
DOI: 10.18710/mtuavq/ph9e4o
title: 20230421_BJN_REDTEC_gal.txt
DOI: 10.18710/mtuavq/qluz5q
title: 20230611_BJN_REDTEC_gps.txt
DOI: 10.18710/mtuavq/sz3kt6
title: 20230521_BJN_REDTEC_gps.txt
DOI: 10.18710/mtuavq/vr4cum
title: 20230512_BJN_REDTEC_glo.txt
DOI: 10.18710/mtuavq/whbqrp
title: 20230715_BJN_REDTEC_gps.txt
DOI: 10.18710/mtuavq/wqmdo8
title: 20230418_BJN_REDTEC_gal.txt
DOI: 10.18710/mtuavq/yt38c8
title: 20230724_BJN_REDTEC_gal.txt
DOI: 10.18710/tknnrq/1qphdt
title: Stavanger_transkripsjon_entall_aldersgruppe_B.xlsx
DOI: 10.18710/tknnrq/hj75mx
title: Trondheim_transkripsjon_possessiv_etterstilt_aldersgruppe_B.tsv
DOI: 10.18710/tknnrq/oxjqmq
title: Experiment1_GenVAC.pdf
DOI: 10.18710/ucrw4l/oiphqg
title: Figure_5a-b.jpg

description: High-resolution version of Figure 5a-b.
DOI: 10.18710/7puepj/krgwsn
title: 20220702_NYA_REDOBS_glo.txt
DOI: 10.18710/7puepj/l6f27k
title: 20220806_NYA_REDOBS_gal.txt
DOI: 10.18710/7puepj/vghyho
title: 20220825_NYA_REDOBS_gps.txt
DOI: 10.18710/u5rnge
title: Replication Data for: Radical Group Transfer of Vinyl and Alkynyl Silanes Driven by Photoredox Catalysis

description: Radical group transfer is a powerful tool for the formation of C–C bonds. These processes typically involve radical addition to C–C π bonds, followed by fragmentation of the cyclic intermediate. Despite the advantageous lability of organosilanes in this context, silicon-tethered radical acceptor groups have remained underexplored in radical group transfer reactions. We report a general photoredox-catalyzed protocol for the radical group transfer of vinyl and alkynyl silanes onto sp3 carbons, using activated and unactivated iodides as radical precursors. Our method displays high diastereoselectivity and excellent functional group tolerance. Mechanistic investigations revealed the key role played by silicon in facilitating a single-electron oxidation step, which leads to direct ring-opening and an overall redox-neutral process.
This dataset contains raw files of proton nuclear magnetic resonance (1H NMR) and carbon nuclear magnetic resonance (13C NMR) of all compounds synthesized for and used in work: Radical group transfer of vinyl and alkynyl silanes driven by photoredox catalysis. The dataset is completed with raw files and analysis reports of correlated spectroscopy (COSY), heteronuclear single quantum coherence (HSQC), heteronuclear multiple bond correlation (HMBC), Fourier-transform infrared spectroscopy (FTIR) and high-resolution mass spectrometry (HRMS) of all new compounds synthesized for and used in this work.
description: MestReNova, 14.1.2-25024
description: ChemDraw, 22.0.0 32-bit
description: Thermo Scientific FreeStyle
description: Orbitrap Exploris, 120 Tune Application 3.1.279.9
description: MicroLab PC
description: TopSpin, 3.2
description: IconNMR, 4.7.6 Build 22
DOI: 10.18710/wgrd0d/41v32q
title: 20221208_NYA_REDTEC_glo.txt
DOI: 10.18710/wgrd0d/jo7j2g
title: 20221104_NYA_REDTEC_glo.txt
DOI: 10.18710/wgrd0d/ngga8k
title: 20221129_NYA_REDTEC_gal.txt
DOI: 10.18710/wgrd0d/wb1saq
title: 20221120_NYA_REDTEC_glo.txt
DOI: 10.18710/zfadjs/b0fqd3
title: Electrochemistry.zip
DOI: 10.18710/zfadjs/jewmaa
title: Electrochemistry.zip
DOI: 10.18710/7puepj/45gk1t
title: 20220828_NYA_REDOBS_gps.txt
DOI: 10.18710/7puepj/89oooa
title: 20220803_NYA_REDOBS_glo.txt
DOI: 10.18710/7puepj/jzhupb
title: 20220809_NYA_REDOBS_gps.txt
DOI: 10.18710/7puepj/krxidt
title: 20220920_NYA_REDOBS_glo.txt
DOI: 10.18710/7puepj/mbflgk
title: 20220803_NYA_REDOBS_gal.txt
DOI: 10.18710/7puepj/mokeab
title: 20220901_NYA_REDOBS_glo.txt
DOI: 10.18710/7puepj/nrkylc
title: 20220717_NYA_REDOBS_gal.txt
DOI: 10.18710/7puepj/p1ewyr
title: 20220916_NYA_REDOBS_gal.txt
DOI: 10.18710/aoqf05/cw9rxz
title: 00_ReadMe.txt
DOI: 10.18710/q9mlp2/ckjhhu
title: 02_Data_Lovhogen.csv

description: CSV version of data
DOI: 10.18710/wf1agu/bns839
title: 4_Genomic Relationship Matrix_SNPs.csv

description: Genomic relationship matrix based on SNP markers
DOI: 10.18710/wgrd0d/6d1ayz
title: 20221013_NYA_REDTEC_gps.txt
DOI: 10.18710/wgrd0d/7moesn
title: 20221217_NYA_REDTEC_gal.txt
DOI: 10.18710/wgrd0d/dbfzed
title: 20221002_NYA_REDTEC_glo.txt
DOI: 10.18710/wgrd0d/dvy0j4
title: 20221004_NYA_REDTEC_gal.txt
DOI: 10.18710/wgrd0d/fyzozd
title: 20221022_NYA_REDTEC_glo.txt
DOI: 10.18710/wgrd0d/hfyiln
title: 20221127_NYA_REDTEC_gps.txt
DOI: 10.18710/wgrd0d/i65qln
title: 20221017_NYA_REDTEC_glo.txt
DOI: 10.18710/wgrd0d/j13phx
title: 20221130_NYA_REDTEC_gal.txt
DOI: 10.18710/wgrd0d/ugk9ix
title: 20221106_NYA_REDTEC_glo.txt
DOI: 10.18710/zfadjs/beyqku
title: AB266_Bi_C.zip
DOI: 10.18710/zfadjs/fejblt
title: Electrochemistry.zip
DOI: 10.18710/zfadjs/itqrne
title: AB356.zip
DOI: 10.18710/zfadjs/n2kixv
title: Ex_situ_XAS_Mo_k_edge.zip
DOI: 10.18710/zfadjs/pugi1h
title: Electrochemistry.zip
DOI: 10.18710/zfadjs/srxozn
title: MoO2_Sigma-Aldrich.zip
DOI: 10.18710/8yjftx/hlx5t7
title: 28_Participant_14_Transcription.pdf

description: Interview transcription including researcher's notes from first round thematic analysis
DOI: 10.18710/nmglrl/errf59
title: BSR_model_input_24_5Ka.txt
DOI: 10.18710/nmglrl/guj8el
title: BSR_model_input_10_0Ka.txt
DOI: 10.18710/vxgpii/ncdhkl
title: without_Bset_2_Responses_of_NTUA_model_measured.dat
DOI: 10.18710/wgrd0d/s1c7rl
title: 20221228_NYA_REDTEC_gps.txt
DOI: 10.18710/zfadjs/3dvuob
title: Electrochemistry.zip
DOI: 10.18710/zfadjs/4yrcvn
title: BiVO4_apr_2021-bad.zip
DOI: 10.18710/zfadjs/c5cz8z
title: Electrochemistry.zip
DOI: 10.18710/zfadjs/ff7lh2
title: Electrochemistry.zip
DOI: 10.18710/zfadjs/idphka
title: Electrochemistry.zip
DOI: 10.18710/zfadjs/igktpk
title: 20220305_CS_B_091.zip
DOI: 10.18710/zfadjs/uydeqa
title: Electrochemistry.zip
DOI: 10.18710/11lltw/2v9bg4
title: 20210330_H9c2-gluc_mito-mChGFP_LTRDR50nM_1522_dvt-5sTL_009_ALX.zip
DOI: 10.18710/11lltw/mgzuwo
title: 20210330_H9c2-gluc_mito-mChGFP_LTRDR50nM_1522_dvt-5sTL_009.log
DOI: 10.18710/11lltw/obsnll
title: 20210330_H9c2-gluc_mito-mChGFP_LTRDR50nM_1522_dvt-5sTL_006_ALX.zip
DOI: 10.18710/1u2aqj
title: Replication Data for: The Verbal prefix do- in Russian and Ukrainian

description: &lt;b&gt;Dataset description:&lt;/b&gt;
&lt;p&gt;This dataset contains corpus data used in the paper described below.&lt;/p&gt;
&lt;p&gt;The dataset set consists of html-pages that contain the results for corpus searches in the Russian National Corpus (RNC) as described in the methodology of the corresponding paper and in the methodological information of this README file. Furthermore, it contains the scripts that were used to save these html-pages and to extract the relevant information from them. The scripts created csv files which were then imported into a LibreOffice Calc document with the ".ods" extension.&lt;/p&gt;
description: &lt;b&gt;Article description:&lt;/b&gt;
&lt;p&gt;The present small-scale study compares the usage of the verbal prefix do- in contemporary Russian and Ukrainian using the Ukrainian parallel corpus of the Russian National Corpus. Two datasets were analyzed: In the first one, translations of Russian do- verbs into Ukrainian were analyzed, whereas the second dataset dealt with translations of Ukrainian do- verbs into Russian. The focus of the discussion was on cognate translations with different prefixes.&lt;/p&gt;
&lt;p&gt;While the amount of data does not allow any strong conclusions, it is shown that in both languages do- prefixes can express the same meanings, namely REACH, REACH (ABSTRACT), ADD, CONVEY, and, when used together with postfix -sja, EXCESS. As the discussion shows, there is reason to believe that the CONVEY meaning is less productive in Russian where it is used in words restricted to official contexts and in fixed expressions.&lt;/p&gt;
&lt;p&gt;A quantitative analysis showed that among cognate translations from Ukrainian into Russian, the prefix was more often different than in translations from Russian into Ukrainian. This can be seen as a further clue for a wider application of Ukrainian do- compared to its Russian counterpart.&lt;/p&gt;
description: R, 4.2.0
description: bash, 5.1.16
DOI: 10.18710/3povdt/l8s8mu
title: 20210511_H9c2-dTag_GAL_LTDR100nm-40m_1520_sim256_011_ch3_CE1s_t00-stack-downscaled.tif
DOI: 10.18710/3povdt/rieyho
title: 20210511_H9c2-dTag_GAL_PFA4-GA02_LTDR100nm-40m_1520_sim512_003_ch2_CE-stack.tif
DOI: 10.18710/3povdt/uneqb0
title: MAX_Kidney_MUSS.tif
DOI: 10.18710/4mjlc3/l29pet
title: 00_README.txt
DOI: 10.18710/65wijo/kajmgl
title: 00_README_PKF.txt
DOI: 10.18710/65wijo/mhzicj
title: AKMA1_SST1_grainsize.txt
DOI: 10.18710/65wijo/oytohp
title: AKMA1_SST1_CN.txt
DOI: 10.18710/65wijo/qdjg73
title: AKMA1_SST1_sample-list.txt
DOI: 10.18710/7puepj/fwxxnu
title: 20220915_NYA_REDOBS_glo.txt
DOI: 10.18710/7puepj/fzpfl7
title: 20220818_NYA_REDOBS_gal.txt
DOI: 10.18710/7puepj/l231sd
title: 20220802_NYA_REDOBS_glo.txt
DOI: 10.18710/7puepj/qidqdp
title: 20220929_NYA_REDOBS_gps.txt
DOI: 10.18710/7puepj/sekbur
title: 20220824_NYA_REDOBS_glo.txt
DOI: 10.18710/8yjftx/dfcvgq
title: 26_Participant_9_Transcription.pdf

description: Interview transcription including researcher's notes from first round thematic analysis
DOI: 10.18710/8yjftx/mqwhm8
title: 10_Participant_16_AM_Survey_Redacted_Sanitized.pdf

description: Digital survey results
DOI: 10.18710/8yjftx/vmivj8
title: 14_Participant_5_SER_Survey_Redacted_Sanitized.pdf

description: Digital survey results
DOI: 10.18710/8yjftx/wxx9f5
title: 16_Participant_9_SER_Survey_Redacted_Sanitized.pdf

description: Digital survey results
DOI: 10.18710/c1r1in/2yabnt
title: AKMA1_SST6_Dive26a_DEM.prj
DOI: 10.18710/c1r1in/4tmvyi
title: Fluid_Flow_SUPPLEMENTARY_LD.mov
DOI: 10.18710/c1r1in/krrcng
title: AKMA1_SST6_Dive23_microbathymetry.asc
DOI: 10.18710/cfbqsn/gtslss
title: 2022-09-22_ID_NA.pdf
DOI: 10.18710/cfbqsn/m3vg9x
title: 2022-10-01_ID_1170_1171.pdf
DOI: 10.18710/cfbqsn/w5iifp
title: questionnaire_results.csv

description: Updated version 27.9.2023
DOI: 10.18710/dxnzpd/vrg6iw
title: Czech_transcripts.pdf
DOI: 10.18710/ffanm0/gapd60
title: PacBio_VSG_filtered_reads_balbc_12_5.fasta
DOI: 10.18710/ffanm0/to1l60
title: PacBio_VSG_filtered_reads_balbc_10_2.fasta
DOI: 10.18710/gux2o8/0mu5ca
title: Str2-PZ2-proc_2MatlabPlot.txt
DOI: 10.18710/gux2o8/tqb5d7
title: CAGE-HH13-05-Seismics-DEPTH.segy
DOI: 10.18710/h8ektm/6qjrqr
title: Fn67-2.001.dex
DOI: 10.18710/j98mla/haqkei
title: Figure_1.jpg

description: High-resolution version of Figure 1 in the above-mentioned manuscript. Caption: Location of the study area north and northwest of Spitsbergen. The white lines show the location of the seismic sections discussed. The topographic–bathymetry map is from Jakobsson et al. (2012). The geology of the area is from Gee and Hjelle (1966), Johnson and Eckhoff (1966), Faleide et al. (1993), Myhre and Thiede (1995), Bergh et al. (1997), Witt-Nilsson et al. (1998), Bergh and Grogan (2003), Blinova et al. (2013), Braathen et al. (2018), Koehl and Allaart (2020), Kristoffersen et al. (2020), Koehl et al. (2022a). Abbreviations: AA: Atomfjella Antiform; BA: Bockfjorden Anticline; BeFZ: Bellsundbanken fault zone; Bi: Billefjorden; BiFZ: Billefjorden Fault Zone; DB: Danskøya Basin; DGZ: De Geer Zone; F: Forlandsundet; HFC: Hornsund Fault Complex; HR: Hovgård Ridge; KCFZ: Kongsfjorden–Cowanodden fault zone; KDFZ: Kinnhøgda–Daudbjørnpynten fault zone; KR: Knipovich Ridge; MFZ: Molloy Fracture Zone; MR: Molloy Ridge; N: Nordaustlandet; NB: Nansen Bank; NF: Ny-Friesland; NL: Nordenskiöld Land; PKF: Prins Karls Forland; RFZ: Risen fault zone; SFZ: Spitsbergen Fracture Zone; VR: Vestnesa Ridge; YP: Yermak Plateau.
DOI: 10.18710/t1vqla/4kqzzk
title: _Simulation_Log_Sheet_11.csv
DOI: 10.18710/tp4cms/lpx9ak
title: Line_KR.sgy
DOI: 10.18710/ucrw4l/fwdb50
title: Supplement_3a-b.jpg

description: High-resolution version of Supplement 3a-b.
DOI: 10.18710/uhpyab/cbuqew
title: pp_master_data_us2018_aggregated.csv

description: Dataframe containing an aggregated version of data used for the empirical analysis.
DOI: 10.18710/uwxphw
title: Replication Data for: Quantifying large carnivore predation relative to human harvest on moose in an intensively managed boreal ecosystem

description: This dataset contains the data and the code used to calculate moose density inside wolf territories and relates to the article entitled "Quantifying large carnivore predation on moose relative to human harvest in an intensively managed boreal ecosystem" and published in Ecological Applications in 2025.
description: R, 4.1.3
DOI: 10.18710/vxgpii/njiyoa
title: with_Bset_4_Frequency_spectra_of_NTUA_model_responses_measured.dat
DOI: 10.18710/wgrd0d/gjujo7
title: 20221102_NYA_REDTEC_gps.txt
DOI: 10.18710/wgrd0d/jjvoh3
title: 20221102_NYA_REDTEC_gal.txt
DOI: 10.18710/wgrd0d/kajidm
title: 20221122_NYA_REDTEC_gal.txt
DOI: 10.18710/wgrd0d/noxlpm
title: 20221110_NYA_REDTEC_gps.txt
DOI: 10.18710/xo6fg7
title: Supplementary materials for: Urban Density and Accessibility: A methodological approach

description: The built environment's impact on human behaviour is well-documented. Still, quantitative research on the topic usually focuses on a large scale, with few studies at the neighbourhood level. This study presents a method investigating the correlation between the local built environment densities and accessibility. We propose a three-step approach using kindergartens in the Stavanger region, Norway, as a case. First, through GIS, we estimate the kindergartens' serviceability as a function of accessibility using 10-minute walking isochrones. Second, we statistically compare the results with density quantifications to explore the relationship between the built environment and kindergarten access. Third, through field observations, we record the travel modes used to access five kindergartens in areas representing the region's built environment diversity. The results demonstrate that populations in denser areas are more likely to walk with their children. However, the research reveals that over 12% of the region's residents live beyond a 10-minute walking distance to kindergartens, making them reliant on cars to access this service. This study aims to provide an adaptable and replicable method to evaluate accessibility to a range of crucial facilities in cities. The findings from such analyses can help optimise the built environment and the provision of services in more sustainable ways.
description: The dataset integrates information from various sources, including Census data, Cadastral data, Road network data, Kindergarten data and Observation data. Although most are collected in geo-referred format, further adjustments are required to enable the integration. 

The intention of the supplementary material PDF is to inform other researchers how to replicate the study, not supplying all the datasets used.
DOI: 10.18710/zdsd2h/24llig
title: 00_ReadMe.txt
DOI: 10.18710/zdsd2h/ozkmeb
title: Reproducibility.csv
DOI: 10.18710/zfadjs/3ejzun
title: Ex_situ_XRD.zip
DOI: 10.18710/zfadjs/lqutdm
title: Electrochemistry.zip
DOI: 10.18710/mtuavq/lgwmxq
title: 20230708_BJN_REDTEC_gps.txt
DOI: 10.5281/zenodo.15127657
title: Data from the SW Gulf of Mexico marine core RC10-265PC XRF, CaCO3 and TOC analyses, spanning MIS 6 to MIS 1

description: In the sediment Core RC10-265PC collected in the oligotrophic region of the SW Gulf of Mexico, multiproxy records of primary productivity and clastic inputs were reconstructed for the last 180 ka over the Late Pleistocene to Holocene (last 180 cal ka BP). This database includes two tables. Table S1 consists of the concentrations and distribution of major, minor and trace elements, including those depth horizons with ash layers versus core depth (cm). Table S2 does not include the ash layers, but the principal major, minor and trace elements, the total organic carbon (TOC, %wt) and calcium carbonate (CaCO3, %wt) content, besides the PC1 (scores) of the Principal Component Analysis relative to the age of the core (ka).

 

We acknowledge the financial support of DGAPA-PAPIIT, UNAM: Grant IN104624 - Estudio de la variabilidad climática y la paleoceanografía del Golfo de México durante el Cuaternario tardío.
DOI: 10.5281/zenodo.15717359
title: Data from the SW Gulf of Mexico marine core RC10-265PC XRF, CaCO3 and TOC analyses, spanning MIS 6 to MIS 1

description: In the sediment Core RC10-265PC collected in the oligotrophic region of the SW Gulf of Mexico, multiproxy records of primary productivity and clastic inputs were reconstructed for the last 180 ka over the Late Pleistocene to Holocene (last 180 cal ka BP). This database includes two tables. Table S1 consists of the concentrations and distribution of major, minor and trace elements, including those depth horizons with ash layers versus core depth (cm). Table S2 does not include the ash layers, but the principal major, minor and trace elements, the total organic carbon (TOC, %wt) and calcium carbonate (CaCO3, %wt) content, besides the PC1 (scores) of the Principal Component Analysis relative to the age of the core (ka).

 

We acknowledge the financial support of DGAPA-PAPIIT, UNAM: Grant IN104624 - Estudio de la variabilidad climática y la paleoceanografía del Golfo de México durante el Cuaternario tardío.
DOI: 10.18710/11lltw/bnnwjy
title: 20210330_H9c2_mito-mChGFP_LTRDR50nM_1522_dvt-5sTL_007_ALX_PRJ.tif
DOI: 10.18710/11lltw/jswe97
title: 20200227_H9c2-galac-mCh-eGFP_LTDR50nM-30min_1522_dvtl_011_ALX.zip
DOI: 10.18710/11lltw/u9ihck
title: cell1.zip
DOI: 10.18710/11lltw/v8bfky
title: 20210330_H9c2_mito-mChGFP_LTRDR50nM_1522_dvt-5sTL_008.log
DOI: 10.18710/5gt2ub/c5m0vm
title: List_sources.txt

description: List of sources for time series
DOI: 10.18710/5qmkdn/6ghm8f
title: 0_README.txt
DOI: 10.18710/gux2o8/usdhmq
title: MSCL-Cage19-3-KH-05-GPC-02.txt
DOI: 10.18710/mtuavq/02wxya
title: 20230817_BJN_REDTEC_gps.txt
DOI: 10.18710/mtuavq/0ddoei
title: 20230727_BJN_REDTEC_glo.txt
DOI: 10.18710/mtuavq/1aqvoq
title: 20230903_BJN_REDTEC_gps.txt
DOI: 10.18710/mtuavq/1j5s4j
title: 20230710_BJN_REDTEC_gal.txt
DOI: 10.18710/mtuavq/8tgrqt
title: 20230813_BJN_REDTEC_gps.txt
DOI: 10.18710/mtuavq/cw543i
title: 20230813_BJN_REDTEC_glo.txt
DOI: 10.18710/mtuavq/fomt6y
title: 20230725_BJN_REDTEC_gal.txt
DOI: 10.18710/mtuavq/hdura3
title: 20230930_BJN_REDTEC_gps.txt
DOI: 10.18710/mtuavq/hrkopb
title: 20230821_BJN_REDTEC_gal.txt
DOI: 10.18710/mtuavq/i0nuky
title: 20230821_BJN_REDTEC_gps.txt
DOI: 10.18710/mtuavq/jzopl3
title: 20230819_BJN_REDTEC_gal.txt
DOI: 10.18710/mtuavq/nbw9ie
title: 20230925_BJN_REDTEC_glo.txt
DOI: 10.18710/mtuavq/nsouw8
title: 20230821_BJN_REDTEC_glo.txt
DOI: 10.18710/mtuavq/oqhzcg
title: 20230901_BJN_REDTEC_gal.txt
DOI: 10.18710/mtuavq/qu0cma
title: 20230922_BJN_REDTEC_gal.txt
DOI: 10.18710/mtuavq/s0eaau
title: 20230912_BJN_REDTEC_glo.txt
DOI: 10.18710/mtuavq/sbwgl2
title: 20230913_BJN_REDTEC_glo.txt
DOI: 10.18710/mtuavq/vc13qt
title: 20230908_BJN_REDTEC_gps.txt
DOI: 10.18710/mtuavq/whjthk
title: 20230922_BJN_REDTEC_glo.txt
DOI: 10.15468/dl.exmb2k
title: Occurrence Download

description: A dataset containing 48 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Magnolia cubensis Urb."
 ]
}

 The dataset includes 48 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0075589-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ejftkt
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aeonium palmense Webb, 1887"
 ]
}

 The dataset includes 12 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0102171-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hs4pnf
title: Occurrence Download

description: A dataset containing 38 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Heptapterus bleekeri Boeseman, 1953"
 ]
}

 The dataset includes 38 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0080364-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.