cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.18710/uoc8cp/ln8z8d
title: DCS_2022_Q12_Multi-institutional_chart.png
DOI: 10.18710/uoc8cp/ykcwwf
title: DCS_2022_Q17_Software_Deployment_Method_data.xlsx
DOI: 10.18710/3uf8mq/2sfogv
title: 06_Roman_Roads_and_Secondary_Roads.shx
DOI: 10.18710/3uf8mq/btewse
title: 08_Cult_Sites_within_5km_from_roads.prj
DOI: 10.18710/3uf8mq/bybiwo
title: 02_Inscriptions_BenefactorsQuantity.csv
DOI: 10.18710/3uf8mq/eqglmt
title: 04_PPA.prj
DOI: 10.18710/3uf8mq/izfgr4
title: 05_Roman_Roads.prj
DOI: 10.18710/3uf8mq/o558pm
title: 01_Cult_Site_Types.csv
DOI: 10.18710/3uf8mq/rsg61r
title: 04_PPA.shx
DOI: 10.18710/3uf8mq/t3nayc
title: 02_Inscriptions_Deities.csv
DOI: 10.18710/3ywq8r/qlqbxw
title: AcqHindiDutch_Data_20220413.csv

description: data file in .csv-format with ";" as separator ("na" indicates missing value).
DOI: 10.18710/6vwvmq/eifgls
title: Supplementary_File_1c.xlsx
DOI: 10.18710/6vwvmq/xts3kd
title: Supplementary_File_1a.txt
DOI: 10.18710/emjbeo/pi8oit
title: 20220908_HOP_REDOBS_gal.txt
DOI: 10.18710/i3l0bq/1m5c5r
title: CAGE_20-2_0530-0539_HH.zip
DOI: 10.18710/i3l0bq/84sqmv
title: CAGE_20-2_0440-0449_HH.zip
DOI: 10.18710/i3l0bq/af09zm
title: CAGE_20-2_0354-0359_HH.zip
DOI: 10.18710/i3l0bq/zbwnn9
title: CAGE_19-2_0170-0179_HH.zip
DOI: 10.18710/mwvqfd/qywygw
title: 20220416_BJN_REDOBS_gal.txt
DOI: 10.18710/ngisoa/0tqq9y
title: 2020_08_06_area2_histogram_Heating.pdf

description: Histogram Heating
DOI: 10.18710/ngisoa/snk4we
title: 2020_08_06_complete_overview.pdf

description: Overview 06 Aug 2020
DOI: 10.18710/ngisoa/wbvnle
title: get_classes.m

description: Function to handle the input 'all'-days.
Searching for all available classes in this folder and returning arrays with the day, area and high resolution information.
DOI: 10.18710/ovwsam/vllgxx
title: scale_sync_4models.pdf
DOI: 10.18710/r7hm8j/jbqlus
title: CLARIN_licenses_in_TROLLing.pdf
DOI: 10.18710/uoc8cp/0ex8wo
title: Data_Protection_Impact_Assessment.pdf
DOI: 10.18710/uoc8cp/8ogpp1
title: DCS_2022_Q19_File_Storage_Type_data.xlsx
DOI: 10.18710/uoc8cp/eylgee
title: DCS_2022_Q07_Certification_data.xlsx
DOI: 10.18710/uoc8cp/iekfmo
title: DCS_2022_data.xlsx
DOI: 10.18710/uoc8cp/ocvlnq
title: DCS_2022_Q08_Installation_Archetype_data.xlsx
DOI: 10.18710/uoc8cp/qrtejq
title: DCS_2022_Q35_Topic_07_Repository_Features_Importance_Data_Privacy_chart.png
DOI: 10.18710/uoc8cp/uwzxtc
title: DCS_2022_Q24_Configurable_Optional_Features_Analysis_and_Computation_data.tsv
DOI: 10.18710/uoc8cp/xxoife
title: DCS_2022_Q28_Configurable_Optional_Features_Metadata_Management_chart.png
DOI: 10.18710/z3c70z
title: Miljønyord fra prosjektet Changing Nature (1998-2018)
title: Environmental Neologisms from the project Changing Nature: (1998-2018)

description: &lt;p&gt;This data set contains a file containing neologisms related to the subject fields of nature and the environment extracted from fours data sets (the Naturen corpus, the forskning.no corpus, NOU reports and verbatim reports from the Norwegian Parliament) in the time period 1998-2018. The neologisms were extracted automatically and analysed manually to identify neologisms related to nature and the environment.&lt;/p&gt;
&lt;p&gt;&lt;/p&gt;
&lt;p&gt;The data set "Changing Nature_original list 1869 environmental neologisms" contains 1869 neologisms from the nature and environment subject fields.&lt;/p&gt;
&lt;p&gt;&lt;/p&gt;
&lt;p&gt;
The data set is licensed under CC0.
&lt;/p&gt;
DOI: 10.18710/zlw59w/ps95cb
title: 1_va_mustela_rodent_nested_loop_temp_prior3_redused2_2021.R

description: Script to run the dynamic occupancy model with two spatial scales for the case study with prior set 3
DOI: 10.18710/3uf8mq/aq7rf6
title: 05_Roman_Roads.shp
DOI: 10.18710/3uf8mq/kcsfkq
title: 07_Roman_and_Hypothetical_Roads.cpg
DOI: 10.18710/3uf8mq/oo22mx
title: 03_Architecture_Statues.csv

description: csv file of Table 3 in the article
DOI: 10.18710/6vwvmq/nca4hs
title: Supplementary_File_3-4.pdf
DOI: 10.18710/emjbeo/aummxy
title: 20220722_HOP_REDOBS_gps.txt
DOI: 10.18710/gzj75r/bptux8
title: Follow-up_form.pdf
DOI: 10.18710/mwvqfd/f6biqz
title: 20220602_BJN_REDOBS_gal.txt
DOI: 10.18710/ngisoa/01j9ws
title: 2020_08_05_area3_scatter_Subsequent cycles.pdf

description: Scatter plot 05 Aug 2020
DOI: 10.18710/ngisoa/2onyer
title: 2020_08_06_area3_histogram_Decline.pdf

description: Histogram Decline
DOI: 10.18710/ngisoa/4okhj5
title: 2020_08_06_area1_histogram_Overshoot.pdf
DOI: 10.18710/ngisoa/elyaeb
title: 2020_08_06_area1_scatter_Decline.pdf

description: Scatter plot 06 Aug 2020
DOI: 10.18710/ngisoa/swzpjt
title: 2020_08_05_area3_histogram_Overshoot.pdf
DOI: 10.18710/ngisoa/waivw1
title: 2018_08_15_area1_histogram_Recovery.pdf

description: Histogram Recovery
DOI: 10.18710/ngisoa/webe2m
title: 2020_08_05_area3_scatter_Decline.pdf

description: Scatter plot 05 Aug 2020
DOI: 10.18710/ngisoa/zc3xf3
title: parameter_2018_08_15_HR.m

description: Additional parameters for the data of the night 2018 August 15th
DOI: 10.18710/ovwsam/bfv7ga
title: stacked_data.rds
DOI: 10.18710/ovwsam/l929u0
title: distance_matrix.csv
DOI: 10.18710/ovwsam/pis2wy
title: Abundance_CRINLA_zeroc3.rds
DOI: 10.18710/qgk54k/m1uarm
title: 11_Figure-9.png
DOI: 10.18710/qhuaz2/0btih7
title: air_quality_data_Winter.nc
DOI: 10.18710/qhuaz2/0yob67
title: MTP_winter_TURBAN.nc
DOI: 10.18710/qhuaz2/2bitwq
title: netatmo_stations_mean_temp_winter.jpg
DOI: 10.18710/qhuaz2/ak5hig
title: 00_README.txt
DOI: 10.18710/qhuaz2/rcqfhg
title: IMG_1682.JPG
DOI: 10.18710/qhuaz2/xpc3ng
title: winter episode short.jpg
DOI: 10.18710/qhuaz2/ygyny4
title: export Danmarkplass Summer.xlsx
DOI: 10.18710/uoc8cp/shp8qn
title: DCS_2022_Q30_GDCC_Membership_data.xlsx
DOI: 10.18710/zlw59w/2qtukk
title: seas_2021.rda

description: R data file containing data for the season covariate used in the analysis.
DOI: 10.18710/6vwvmq/ufvohr
title: 00_Readme.txt
DOI: 10.18710/emjbeo/4qggrf
title: 20221112_HOP_REDOBS_glo.txt
DOI: 10.18710/emjbeo/bnrea8
title: 20220807_HOP_REDOBS_glo.txt
DOI: 10.18710/emjbeo/cox9zb
title: 20220827_HOP_REDOBS_glo.txt
DOI: 10.18710/emjbeo/padqj7
title: 20220723_HOP_REDOBS_gps.txt
DOI: 10.18710/emjbeo/qp466z
title: 20220723_HOP_REDOBS_glo.txt
DOI: 10.18710/emjbeo/rdq99y
title: 20220911_HOP_REDOBS_gal.txt
DOI: 10.18710/emjbeo/yfvxoq
title: 20220721_HOP_REDOBS_gps.txt
DOI: 10.18710/mwvqfd/hlyju8
title: 20221130_BJN_REDOBS_glo.txt
DOI: 10.18710/mwvqfd/nhgvrr
title: 20220628_BJN_REDOBS_gps.txt
DOI: 10.18710/qhuaz2/rwkbox
title: combined_dataset.py
DOI: 10.18710/9x52wa/dcqwf6
title: 20221230_HOP_REDTEC_gps.txt
DOI: 10.18710/9x52wa/rgragr
title: 20221112_HOP_REDTEC_glo.txt
DOI: 10.18710/9x52wa/z5bd9i
title: 20221109_HOP_REDTEC_glo.txt
DOI: 10.18710/c2onex/ruq2vw
title: 221122_0084.flac
DOI: 10.18710/cuvrzx/gb6dnl
title: 20220101_KHO_REDTEC_gps.txt
DOI: 10.18710/cuvrzx/idz2gk
title: 20220104_KHO_REDTEC_gps.txt
DOI: 10.18710/emjbeo/atekcu
title: 20220929_HOP_REDOBS_gal.txt
DOI: 10.18710/emjbeo/g4uui0
title: 20220819_HOP_REDOBS_glo.txt
DOI: 10.18710/emjbeo/z9va5k
title: 20220904_HOP_REDOBS_glo.txt
DOI: 10.18710/gzj75r/ftfucy
title: 00_ReadMeFile_Symp_Uro_Can_2022.txt
DOI: 10.18710/i3l0bq/fwqe5a
title: CAGE_20-2_0470-0479_HH.zip
DOI: 10.18710/i3l0bq/n4ctdo
title: CAGE_20-2_0380-0389_HH.zip
DOI: 10.18710/i3l0bq/qby0mi
title: CAGE_19-2_0260-0269_HH.zip
DOI: 10.18710/mwvqfd/8baeq6
title: 20220519_BJN_REDOBS_gps.txt
DOI: 10.18710/mwvqfd/9rdz8x
title: 20220504_BJN_REDOBS_glo.txt
DOI: 10.18710/mwvqfd/ypsvl8
title: 20220403_BJN_REDOBS_glo.txt
DOI: 10.18710/ngisoa/oaqcyg
title: 2020_08_05_area2_overview.pdf

description: Overview 05 Aug 2020
DOI: 10.18710/q2zvbc/pf4mmq
title: CAGE-17_2_EM302_raw_28.zip
DOI: 10.18710/shszxs
title: Replication Data for: Label-free superior contrast with c-band ultra-violet extinction microscopy

description: This repository contains underlying image data, which was used for figures in the manuscript and MATLAB code to generate extinction coefficient maps as well as MATLAB code to determine the direction of "half-ring" illumination from differential phase contrast (DPC) raw data.
description: Summary from the manuscript:
We presented a C-band UV microscope operating at 275 nm, which provides high-contrast high-resolution label-free microscopy. Through a series of oblique illuminations, we showed differential phase contrast (DPC) illumination in this wavelength regime and achieved a 7- to 300-fold improvement over other methods. The phase retrieval algorithm of quantitative DPC microscopy permitted us to calculate extinction coefficients within liver sinusoidal endothelial cells (LSECs). With a resolution down to 215 nm, we could resolve individual fenestrations within their sieve plates, and demonstrated the quantitative character extinction coefficient imaging. The UVC illumination allowed us to utilize intrinsic fluorescence from proteins and amino acids as an orthogonal imaging modality. We exploited this in performing correlative label-free imaging with both autofluorescence and differential phase contrast.
description: DPC_illumination_finder.m, v1.0
description: DPC_single_image_reconstruction.m, v1.0
DOI: 10.18710/shszxs/vou8lr
title: 3b_DIC.tif
DOI: 10.18710/zlw59w/alnuty
title: 2_GOF_diagnostics_case_study.R

description: Script to assess Goodness-of-fit for the case study
DOI: 10.18710/zlw59w/oy3dhi
title: 2_plotting_violin_plot_priorsens.R

description: R-Script to plot results for the prior sensitivity analysis.
DOI: 10.18710/cuvrzx/zd0x88
title: 20220514_KHO_REDTEC_gps.txt
DOI: 10.18710/emjbeo/b3jq7g
title: 20220718_HOP_REDOBS_gal.txt
DOI: 10.18710/emjbeo/w2gxnr
title: 20220710_HOP_REDOBS_glo.txt
DOI: 10.18710/vtth2p
title: Replication Data for: "eHealth literacy among hospital health care providers: a systematic review"

description: eHealth literacy is a key concept in the implementation of eHealth resources. However, most eHealth literacy definitions and frameworks are designed from the perceptive of the individual receiving eHealth care, which do not include health care providers’ eHealth literacy or acceptance of delivering eHealth resources. 
Systematic search strategies were developed in order to identify existing research on eHealth literacy domains and measurements and identify eHealth literacy scores and associated factors among hospital health care providers.
description: EndNote, 20.1
DOI: 10.18710/9x52wa/568oat
title: 20221107_HOP_REDTEC_gal.txt
DOI: 10.18710/9x52wa/lumk5x
title: 20221014_HOP_REDTEC_gal.txt
DOI: 10.18710/9x52wa/nzd5br
title: 20221109_HOP_REDTEC_gps.txt
DOI: 10.18710/cuvrzx/0ywlnd
title: 20220129_KHO_REDTEC_gps.txt
DOI: 10.18710/cuvrzx/86xpfc
title: 20220513_KHO_REDTEC_glo.txt
DOI: 10.18710/cuvrzx/nciunx
title: 20220309_KHO_REDTEC_gal.txt
DOI: 10.18710/cuvrzx/nns1an
title: 20220320_KHO_REDTEC_glo.txt
DOI: 10.18710/cuvrzx/qvtkje
title: 20220301_KHO_REDTEC_glo.txt
DOI: 10.18710/cuvrzx/snaofp
title: 20220220_KHO_REDTEC_gal.txt
DOI: 10.18710/cuvrzx/tcz3df
title: 20220321_KHO_REDTEC_gps.txt
DOI: 10.18710/cuvrzx/tlfpsy
title: 20220223_KHO_REDTEC_gal.txt
DOI: 10.18710/emjbeo/af4ena
title: 20220717_HOP_REDOBS_gal.txt
DOI: 10.18710/emjbeo/bye0bl
title: 20220712_HOP_REDOBS_glo.txt
DOI: 10.18710/emjbeo/juhwn5
title: 20220708_HOP_REDOBS_gal.txt
DOI: 10.18710/emjbeo/vnenqk
title: 20220831_HOP_REDOBS_gps.txt
DOI: 10.18710/emjbeo/zarj2y
title: 20220913_HOP_REDOBS_glo.txt
DOI: 10.18710/emjbeo/zvkt66
title: 20221012_HOP_REDOBS_glo.txt
DOI: 10.18710/fbhijk/nplhin
title: 7-leu.zip
DOI: 10.18710/mwvqfd/5tms0j
title: 20220530_BJN_REDOBS_gal.txt
DOI: 10.18710/mwvqfd/cw7jci
title: 20220519_BJN_REDOBS_glo.txt
DOI: 10.18710/mwvqfd/enajgp
title: 20220630_BJN_REDOBS_glo.txt
DOI: 10.18710/mwvqfd/ifbk2a
title: 20220419_BJN_REDOBS_gps.txt
DOI: 10.18710/mwvqfd/lsf5bu
title: 20220516_BJN_REDOBS_glo.txt
DOI: 10.18710/mwvqfd/m8hdyk
title: 20220523_BJN_REDOBS_gal.txt
DOI: 10.18710/mwvqfd/pb9j4r
title: 20220516_BJN_REDOBS_gal.txt
DOI: 10.18710/mwvqfd/ufiy6t
title: 20220521_BJN_REDOBS_gal.txt
DOI: 10.18710/mwvqfd/yfnwaj
title: 20220504_BJN_REDOBS_gal.txt
DOI: 10.18710/mwvqfd/zb7rni
title: 20220521_BJN_REDOBS_glo.txt
DOI: 10.18710/ovwsam/45sjb6
title: popmodels_residuals.rds
DOI: 10.18710/ovwsam/7ouibf
title: station_map.pdf
DOI: 10.18710/ovwsam/buyapq
title: T1 S2 prec.csv
DOI: 10.18710/ovwsam/kmq6se
title: S1 prec.csv
DOI: 10.18710/qgk54k/ceo1q3
title: 10_Figure-8.png
DOI: 10.18710/shszxs/3hlec9
title: apply_tikhonov.m
DOI: 10.18710/shszxs/tqcos4
title: generateSource.m
DOI: 10.18710/shszxs/ujs2wp
title: pupil.tif
DOI: 10.18710/shszxs/v8khfl
title: 2BG.tif
DOI: 10.18710/shszxs/vck8lk
title: 4a_UV.tiff
DOI: 10.18710/tfswlc/odja02
title: 04_zipdata_overview_convergence.txt
DOI: 10.18710/uoc8cp/utwufc
title: Dataverse_Community_Survey_2022.docx
DOI: 10.18710/ykzbmr/szlljq
title: Method_Ditransitives.pdf

description: Extract from a pre-print version of Mykhaylyk, R., Y. Rodina & M. Anderssen. 2013. Ditransitive constructions in Russian and Ukrainian: Effect of givenness on word order. Lingua, 137, 271-289.
DOI: 10.18710/alobqk
title: Replication Data for: Characterization of Mechanical and Cellular Effects of Rhythmic Vertical Vibrations on Adherent Cell Cultures

description: Fluorescence microscopic (maximum intensity projection) images of the F-actin filaments (stained with Alexa488 phalloidin green-fluorescence dye) of HeLa cell cultures. 63x oil objective was used to review the staining and images were acquired using the SIM mode of the system (ZEISS Elyra PS1). The experimental conditions were No Vibration (NV), Continuous Vibration (CV), Regular Pulse (RP), and Variable Pulse (VP), using a vertical vibration system.
description: ZEN black software (MicroImaging, Carl Zeiss), 13.0.0.518
DOI: 10.18710/bznypf
title: Replication Data for: Experimental evaluation of predicted undrained pore pressure generation as function of stress path and orientation in the Draupne shale

description: Experimental data from triaxial testing of the Draupne shale. Data supports the interpretation given in the aforementioned publication.
DOI: 10.18710/jwtjjb/guj6l7
title: 00_README.txt

description: :unav
DOI: 10.18710/shszxs/9h3g4v
title: 3c_HT.tif
DOI: 10.18710/zcdx1b
title: Replication Data for: From machine learning to classroom learning: mobile vowels and the Russian preposition v ‘in(to)’

description: &lt;p&gt;The present study reports on a machine learning experiment concerning mobile vowels in the Russian preposition v ‘in(to)’. Data are extracted from the Russian National Corpus.&lt;/p&gt;
&lt;p&gt;&lt;/p&gt;
&lt;p&gt;It is shown that a neural network is able to predict mobile vowels in 97.4% of the cases in our dataset, and a decision tree is used to extract a set of three rules that a language learner can use to achieve nearly the same level of accuracy. We argue that these rules are valuable from the perspective of language pedagogy, but that some adjustments are necessary in order to make the rules simpler and more precise. Our study lends support to earlier analyses which emphasize the capacity of mobile vowels to prevent sequences of identical segments. We advance the Word Onset Hierarchy, which enables us to evaluate the relative importance of phonological features for mobile vowels and highlights the gradient and asymmetric nature of mobile vowels. It is suggested that machine learning represents a valuable tool for language pedagogy, not only for mobile vowels, but also for other areas of Russian grammar that are challenging for students of Russian as a foreign language.&lt;/p&gt;
description: Excel
DOI: 10.18710/9x52wa/cq7n3v
title: 20221111_HOP_REDTEC_gps.txt
DOI: 10.18710/c2onex/lzxibb
title: 221128_0138.flac
DOI: 10.18710/c2onex/m0ctiv
title: 221128_0146.flac
DOI: 10.18710/cuvrzx/8n98lo
title: 20220227_KHO_REDTEC_gps.txt
DOI: 10.18710/cuvrzx/c4ker4
title: 20220209_KHO_REDTEC_gal.txt
DOI: 10.18710/cuvrzx/jv7hep
title: 20220521_KHO_REDTEC_glo.txt
DOI: 10.18710/cuvrzx/nys6ho
title: 20220109_KHO_REDTEC_gps.txt
DOI: 10.18710/cuvrzx/r3idkp
title: 20220113_KHO_REDTEC_gal.txt
DOI: 10.18710/cuvrzx/x2ws5o
title: 20220328_KHO_REDTEC_gal.txt
DOI: 10.18710/emjbeo/ciwytb
title: 20221120_HOP_REDOBS_gal.txt
DOI: 10.21985/n2-004h-es21
title: A Droplet Digital PCR assay to measure pilin antigenic variation frequency in Neisseria gonorrhoeae
DOI: 10.5281/zenodo.14624348
title: siganus_fuscescens_zanfona_1.fasta.gz
DOI: 10.5281/zenodo.14624349
title: siganus_fuscescens_zanfona_1.fasta.gz
DOI: 10.15468/dl.a2z5sd
title: Occurrence Download

description: A dataset containing 2460 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Xenicus gilviventris Pelzeln, 1867"
 ]
}

 The dataset includes 2460 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0062741-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3ycfum
title: Occurrence Download

description: A dataset containing 206 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Türkiye",
 "TaxonKey is Arbutus andrachne L."
 ]
}

 The dataset includes 206 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0062742-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qqqk93
title: Occurrence Download

description: A dataset containing 112 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "Geometry POLYGON((-81.28284 -5.32333,-75.10859 -5.32333,-75.10859 1.86768,-81.28284 1.86768,-81.28284 -5.32333))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Leopardus tigrinus (Schreber, 1775)"
 ]
}

 The dataset includes 112 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0062743-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xkt5za
title: Occurrence Download

description: A dataset containing 444 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "DatasetKey is one of (Formación de una base de datos y elaboración de un atlas de la herpetofauna de México (Anfibiosreptiles), TNHC Herpetology Collection, Anfibios y reptiles del estado de Tamaulipas, México, Anfibios y reptiles del estado de Nuevo León, Algunas especies de anfibios y reptiles contenidos en el Proyecto de Norma Oficial Mexicana PROY-NOM-059-ECOL-2000, KUBI Herpetology Collection, Computarización de las colecciones de vertebrados terrestres de la Escuela Nacional de Ciencias Biológicas, IPN Fase 4 (Anfibios y reptiles), University of Michigan Museum of Zoology, Division of Reptiles & Amphibians, CAS Herpetology (HERP))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Anaxyrus compactilis (Wiegmann, 1833)"
 ]
}

 The dataset includes 444 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0062744-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13921693
title: ACRL Critical Digital Humanities Chapter "What's the Story of a Home: Using Household Archaeology to Examine Data Ambiguity" Supplemental Material

description: Supplemental material for an upcoming publication.  Same data provided in multiple formats to ensure readability of files.  All files represent simulated data.
DOI: 10.5281/zenodo.13921694
title: ACRL Critical Digital Humanities Chapter "What's the Story of a Home: Using Household Archaeology to Examine Data Ambiguity" Supplemental Material

description: Supplemental material for an upcoming publication.  Same data provided in multiple formats to ensure readability of files.  All files represent simulated data.
DOI: 10.15468/dl.4ugzfs
title: Occurrence Download

description: A dataset containing 23771 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "Geometry POLYGON((-82.69107 -5.99568,-74.17177 -5.99568,-74.17177 1.54436,-82.69107 1.54436,-82.69107 -5.99568))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Ardea alba Linnaeus, 1758"
 ]
}

 The dataset includes 23771 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0062747-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14614078
title: Cloud cover frequency over land in the period 2000-2022

description: Package of maps describing the database of annual cloud coverage frequency calculated over land from MODIS-Terra and MODIS-Aqua Collection 6.1 data (using, respectively, MOD10A1 and MYD10A1 level 3 products) in the temporal period 2000 (MODIS-Terra)/2002 (MODIS-Aqua) - 2022. Each raster (.tif) covers the entire globe and is referenced in WGS84 datum. The spatial resolution is, approximately, of 500 m. Along the .tif map, three auxiliary data files are annexed: .tfw for georeferentiation; .ovr for pyramids; .xml for main statistics.
DOI: 10.15468/dl.9cdqjy
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 {
 "or" : [
 "Geometry POLYGON((-82.0187 -5.41504,-75.01845 -5.41504,-75.01845 1.52392,-82.0187 1.52392,-82.0187 -5.41504))",
 "Geometry POLYGON((-84.01368 -5.66962,-74.77624 -5.66962,-74.77624 1.53767,-84.01368 1.53767,-84.01368 -5.66962))"
 ]
 },
 "HasGeospatialIssue is false",
 "TaxonKey is Amblyrhynchus cristatus Bell, 1825"
 ]
}

 The dataset includes 6 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0062748-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4hw3w8
title: Occurrence Download

description: A dataset containing 112075 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-78.01745 -1.10411,-77.62042 -1.10411,-77.62042 -0.86782,-78.01745 -0.86782,-78.01745 -1.10411))",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 112075 records from 254 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0062745-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5cpeyg
title: Occurrence Download

description: A dataset containing 8354 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Colección de Reptiles del Museo de Zoología QCAZ",
 "Geometry POLYGON((-79.77805 -4.02594,-78.74617 -4.02594,-77.37674 -2.31462,-77.53275 -1.58779,-76.58516 -1.95715,-76.81812 -0.15263,-78.74617 0.09828,-79.77805 0.09828,-79.77805 -4.02594))",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 8354 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0062750-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hyzh6h
title: Occurrence Download

description: A dataset containing 193509 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-166.25121 52.21549,237.00385 52.21549,237.00385 86.61293,-166.25121 86.61293,-166.25121 52.21549))",
 "TaxonKey is Bryophyta"
 ]
}

 The dataset includes 193509 records from 114 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0062739-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.