cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.rats38
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "PublishingOrg is ada9d123-ddb4-467d-8891-806ea8d94230",
 "TaxonKey is Phyllodactylus simpsoni Arteaga, Bustamante, Vieira, Tapia & Guayasamin, 2019"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022207-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4v4eer
title: Occurrence Download

description: A dataset containing 552 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Hyperomyzus lactucae (Linnaeus, 1758)",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 552 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007639-190320150433242/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bs7cpt
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dianthus plumarius L.",
 "HasCoordinate is true",
 "Country is Japan",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0191579-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f2nvpt
title: Occurrence Download

description: A dataset listing the 38 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is B4C Road Kill Map"
 ]
}

 The dataset's 38 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0122710-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aggnxr
title: Occurrence Download

description: A dataset containing 159 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Pyrrosia nummularifolia (Sw.) Ching"
 ]
}

 The dataset includes 159 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051690-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5drvvh
title: Occurrence Download

description: A dataset listing the 2808 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-81.48412 19.42253,-81.56205 19.26384,-81.34055 19.22899,-81.0411 19.28514,-81.08623 19.39932,-81.48412 19.42253))",
 "HasGeospatialIssue is false"
 ]
}

 The dataset's 2808 records were derived from 114 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0193254-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.37dyfr
title: Occurrence Download

description: A dataset containing 11672 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Thalasseus elegans (Gambel, 1849)"
 ]
}

 The dataset includes 11672 records from 59 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022216-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w37q32
title: Occurrence Download

description: A dataset containing 114496 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cardamine flexuosa With."
 ]
}

 The dataset includes 114496 records from 565 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060766-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.26367214.v3
title: Replication Package for 'An Empirical Study of Community-prescribed Security Configurations in Kubernetes'

description: The replication package contains data and scripts used to generate results reported in the paper. The replication package does not contain any data from Company-A to abide by the non-disclose agreement signed between the authors and Company-A.
DOI: 10.15468/dl.mqt86p
title: Occurrence Download

description: A dataset containing 874 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Iberolacerta cyreni (Müller & Hellmich, 1937)"
 ]
}

 The dataset includes 874 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073065-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j23m6b
title: Occurrence Download

description: A dataset containing 74427 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((4.62688 52.94947,4.24338 52.12221,5.32814 52.02085,5.3391 52.73581,5.13091 52.97139,4.97477 53.19053,4.80494 53.20149,4.64058 53.10013,4.62688 52.94947))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Araneae"
 ]
}

 The dataset includes 74427 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073063-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6073/pasta/542a305e8484ae5abc33881bd7761308
title: AquaMatch Secchi Disk Depth Data from Water Quality Portal: ~1970-2024

description: This dataset, “AquaMatch Secchi Disk Depth Data from Water Quality Portal ~1970-2024”, is a component of a forthcoming update to AquaSat (Ross et al., 2019), AquaSat version 2 (“V2”). The overarching purpose of AquaSat V2 is to emphasize the individual parts of the AquaSat pipeline that make up the matchups between satellite and in-situ measurements. As such, we have greatly expanded and improved upon the AquaSat Secchi Disk Depth dataset in two ways: First, we have incorporated additional recent in situ data beyond what was available at the publication of AquaSat. Second, we have created a data quality tiering system to provide end-users with more guidance on data usage. In this schema we have three tiers: restrictive data that are verifiably self-similar across organizations and time-periods and can be considered highly reliable; narrowed data that we have good reason to believe are self-similar, but for which we can not verify full compatibility across data providers; and inclusive data, which are assumed to be reliable and are harmonized to our best ability given the information available from the data provider. We have also added flag columns to help users understand complexities of the available depth and field sampling data.
 This dataset is a derived data product created using records downloaded from the Water Quality Portal (WQP) spanning January 10, 1970, to July 1, 2024. The WQP is a data warehouse for water-related data measured or observed within the United States and US Territories managed by the Environmental Protection Agency, United States Geological Survey, and the National Water Quality Monitoring Council. The dataset does not contain remote sensing matchups but can be paired with Landsat surface reflectances using the pipeline presented in Ross et al. (2019).
 Ross, M. R. V., Topp, S. N., Appling, A. P., Yang, X., Kuhn, C., Butman, D. et al. (2019). AquaSat: A data set to enable remote sensing of water quality for inland waters. Water Resources Research, 55, 10012–10025. https://doi.org/10.1029/2019WR024883
DOI: 10.15468/dl.mrsz72
title: Occurrence Download

description: A dataset containing 35656 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Eriocaulon chinorossicum Kom., Eriocaulon cinereum R.Br., Eriocaulon compressum Lam., Eriocaulon decemflorum Maxim., Eriocaulon hondoense Satake, Eriocaulon kusiroense Miyabe & Kudô ex Satake, Eriocaulon linearifolium Körn., Eriocaulon miquelianum Körn., Eriocaulon modestum Kunth, Eriocaulon monococcon Nakai, Eriocaulon palustre Salm-Dyck ex Steud., Eriocaulon parkeri B.L.Rob., Eriocaulon pellucidum Michx., Eriocaulon robustum Steud., Eriocaulon robustobrownianum Ruhland, Eriocaulon sachalinense Miyabe & Nakai, Eriocaulon scariosum Sm., Eriocaulon schimperi Körn. ex Ruhland, Eriocaulon septangulare With., Eriocaulon sexangulare L., Eriocaulon truncatum Buch.-Ham. ex Mart., Actinocephalus ramosus (Wikstr.) Sano, Blastocaulon rupestre (Gardner) Ruhland, Leiothrix distichoclada Herzog, Leiothrix flavescens (Bong.) Ruhland, Leiothrix rufula (A.St.-Hil.) Ruhland, Paepalanthus sphaerocephalus Ruhland, Paepalanthus macrocaulon Silveira, Paepalanthus neglectus Körn., Paepalanthus myocephalus Mart., Paepalanthus subtilis Miq., Paepalanthus tortilis (Bong.) Mart. ex Körn., Paepalanthus leucocephalus Ruhland, Paepalanthus uncinatus Gardner, Paepalanthus nigrescens Silveira, Paepalanthus complanatus Silveira, Paepalanthus superbus Ruhland, Paepalanthus mollis Kunth, Paepalanthus Mart., Paepalanthus argenteus (Bong.) Körn., Paepalanthus superbus Ruhland, Tonina fluviatilis Aubl.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 35656 records from 527 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073066-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.84j6yg
title: Occurrence Download

description: A dataset containing 1380 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Astrangia poculata (Ellis & Solander, 1786)"
 ]
}

 The dataset includes 1380 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073067-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.11397841
title: Spatial and temporal variability of the freezing level in Patagonia's atmosphere

description: Short Summary:

This repository houses the Python preprocessing scripts utilized in generating the metadata for García-Lee et al., (2024) dataset. With these files and scripts, you gain access to the algorithm and examples for generating gridded products in netCDF format, specifically featuring the 0°C isotherm field.

Dependencies:



numpy (tested with 1.24.4 in py3)

pandas (tested with 2.0.3 in py3)

netCDF4 (tested with 1.6.0 in py3)

re (tested with 2.2.1 in py3)

glob

OS: Tested in Windows.


Technical Info:






File



Type



Description





1_H0_Detect.py



Python script



0°C Isotherm Detection Algorithm.





2_H0_Daily_Mean.py



Python script



Calculation of Daily Mean.





ISO0_1959_2021_GRID.rar



netCDF



0°C Isotherm Data at 6-Hour Intervals (1959-2021) in meters above sea level (m a.s.l.).





ERA5_PATAGONIA_6H_T_GPH_1959.rar



netCDF



Raw ERA5 data example for 1959: Temperature (°K) and Geopotential (m**2 s**-2).





Extra:

The file 'Observations and Charts.pdf' shows averages, standard deviations, bias, and trends of the 0°C isotherm for Puerto Montt, Río Gallegos, Comodoro Rivadavia, and Punta Arenas. These values were estimated using both observations and reanalysis ERA5 data.

Reference:

García-Lee, N., Bravo, C., Gónzalez-Reyes, Á., and Mardones, P.: Spatial and temporal variability of the freezing level in Patagonia's atmosphere, Weather Clim. Dynam., 5, 1137–1151, https://doi.org/10.5194/wcd-5-1137-2024, 2024.
DOI: 10.5281/zenodo.11397842
title: Spatial and temporal variability of the freezing level in Patagonia's atmosphere

description: Short Summary:

This repository houses the Python preprocessing scripts utilized in generating the metadata for García-Lee et al., (2024) dataset. With these files and scripts, you gain access to the algorithm and examples for generating gridded products in netCDF format, specifically featuring the 0°C isotherm field.

Dependencies:



numpy (tested with 1.24.4 in py3)

pandas (tested with 2.0.3 in py3)

netCDF4 (tested with 1.6.0 in py3)

re (tested with 2.2.1 in py3)

glob

OS: Tested in Windows.


Technical Info:






File



Type



Description





1_H0_Detect.py



Python script



0°C Isotherm Detection Algorithm.





2_H0_Daily_Mean.py



Python script



Calculation of Daily Mean.





ISO0_1959_2021_GRID.rar



netCDF



0°C Isotherm Data at 6-Hour Intervals (1959-2021) in meters above sea level (m a.s.l.).





ERA5_PATAGONIA_6H_T_GPH_1959.rar



netCDF



Raw ERA5 data example for 1959: Temperature (°K) and Geopotential (m**2 s**-2).





Reference:

García-Lee, N., Bravo, C., Gónzalez-Reyes, Á., and Mardones, P.: Spatial and temporal variability of the freezing level in Patagonia's atmosphere, Weather Clim. Dynam., 5, 1137–1151, https://doi.org/10.5194/wcd-5-1137-2024, 2024.
DOI: 10.15468/dl.tj87ap
title: Occurrence Download

description: A dataset containing 4013 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Callipepla squamata (Vigors, 1830)"
 ]
}

 The dataset includes 4013 records from 61 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073068-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2pcmrx
title: Occurrence Download

description: A dataset containing 2748917 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is one of (Indonesia, Malaysia, Philippines, Timor-Leste, Papua New Guinea, Singapore, Brunei Darussalam, Solomon Islands)",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 2748917 records from 422 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073048-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8vgjvn
title: Occurrence Download

description: A dataset containing 1659 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "DatasetKey is EOD – eBird Observation Dataset",
 "GadmGid is CHN.15.11_1",
 "Month is one of (March, April, May, June, July, August)",
 "TaxonKey is Aves",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 1659 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073069-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uypnn5
title: Occurrence Download

description: A dataset containing 71 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Casimiroa pubescens Ramírez"
 ]
}

 The dataset includes 71 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073070-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9w38fa
title: Occurrence Download

description: A dataset containing 166 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Biomphalaria glabrata (Say, 1818)",
 "Year 1961-2025"
 ]
}

 The dataset includes 166 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073071-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rtm8k3
title: Occurrence Download

description: A dataset containing 166 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Biomphalaria glabrata (Say, 1818)",
 "Year 1961-2025"
 ]
}

 The dataset includes 166 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073073-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14673558
title: Polysaccharide Hydrolase Activities in Danish Coastal Seawater and Sediments under Varying Hydrostatic Pressures

description: The potential of the seawater or sedimentary microbial community to hydrolyze seven high-molecular-weight polysaccharides (arabinogalactan, chondroitin sulfate, fucoidan, laminarin, mannan, pullulan, and xylan) was investigated in a coastal station off the coast of Helsingor, Denmark. This investigation was part of the larger project to understand pressure effects on enzymatic activity and these samples were collected in September, 2023.
DOI: 10.6084/m9.figshare.28220174
title: covid2019.xls

description: This dataset was created in the first days of COVID 2019
DOI: 10.6084/m9.figshare.28220174.v3
title: covid2019.xls

description: This dataset was created in the first days of COVID 2019
DOI: 10.6084/m9.figshare.28220174.v2
title: covid2019.xls

description: This dataset was created in the first days of COVID 2019
DOI: 10.57707/fmi-b2share.80a6495434894b8593cc15a954566e41
title: Data and code for the manuscript "Future snow scenarios for Northern Europe based on Coupled Model Intercomparison Project Phase 6 data" by Petri Räisänen et al.

description: This dataset contains analyses of changes in snow conditions in Northern Europe (land areas between 4-40 E, 50-72N) simulated by the latest CMIP6 generation of global climate models. Also provided are fortran programs and GrADS and R scripts employed to generate the results in the manuscript (Räisänen et al. 2025, International Journal of Climatology; revised version in January 2025).

REFERENCE TO THE MANUSCRIPT (please refer to the final accepted version if/when the paper will be accepted):

Räisänen, P., Luomaranta, A., and Jylhä, K. (2025): Future snow scenarios for Northern Europe based on Coupled Model Intercomparison Project phase 6 data. International Journal of Climatology, revised.
description: The starting point for the analysis was daily snow water equivalent (SWE) data for CMIP6 models for years 1951-2100, where historical experiments extending to year 2014 were combined with Shared Socieconomic Pathways scenarios SSP126, SSP245, SSP370 and SSP585 for years 2015-2100. A single ensemble member (i.e., model run) was analyzed for 15-17 CMIP6 models, depending on the scenario. In addition, large single-model ensembles (40-50 parallel runs) were analyzed for three CMIP6 models (ACCESS-ESM1-5, CanESM5 and MIROC6) for the SSP245 scenario. Based on these data, several snow season metrics were first computed for each "snow year" (from 1 Sep of the previous year to 31 Aug) in the period 1951-2100. These metrics included (but are not limited to) the maximum SWE in winter and the length, start date and end date of the longest continuous snow period. Based on these yearly metrics, trends over the periods 1951-2023 and 2023-2100 and 20-year running-mean changes compared to the reference period 1981-2010 were further computed and analyzed. Similar analysis was also performed for ERA5-Land reanalysis data (years 1951-2023).
description: The contents of the data files are described in the file "README_data.txt". The contents of the file containing code ("code_and_scripts.zip") are described in "README_code.txt" as well as in README files included in the zip file. The terms of use for the data and the code are given in the files "License_data.txt" and "License_code.txt", respectively.
DOI: 10.6084/m9.figshare.28219994
title: Merged dataset

description: Merged dataset from "Local selection shaped the diversity of European maize landraces".All data used in the present study are publicly available (Unterseer <i>et al</i>. 2016; Mayer <i>et al</i>. 2017, 2020). In brief, all individuals used were genotyped at high density with the 600k Affymetrix® Axiom® Maize Array, which is comprised of 616,201 variants, of which 6,759 represent insertions/deletions (Unterseer et al. 2014, 2016). Specifically, 941 DH lines derived from 2 European landraces were taken from Mayer <i>et al</i>. (2020), which were divided as follows: 501 DH lines of Kemater Landmais Gelb (KL; Austria) and 409 of Petkuser Ferdinand Rot (PE; Germany). 952 individuals from 35 European maize landraces from Mayer <i>et al</i>. (2017). Lastly, 3 landraces from Unterseer <i>et al</i>. (2016) and 155 elite lines were added from Unterseer <i>et al</i>. (2016). The final panel had in total 2,954 individuals (Table S1).
DOI: 10.15468/dl.55bssp
title: Occurrence Download

description: A dataset listing the 29 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-49.37081 -25.43196,-49.36089 -25.43127,-49.36216 -25.42392,-49.36064 -25.41703,-49.36064 -25.41106,-49.36064 -25.40508,-49.35784 -25.39681,-49.35581 -25.39245,-49.34665 -25.38785,-49.33699 -25.38441,-49.33343 -25.38142,-49.33216 -25.37637,-49.32987 -25.37246,-49.32674 -25.36991,-49.32523 -25.3688,-49.32688 -25.36731,-49.32724 -25.36614,-49.33077 -25.36724,-49.33408 -25.36978,-49.33602 -25.37303,-49.33732 -25.3766,-49.33811 -25.37972,-49.34228 -25.38122,-49.35444 -25.38551,-49.3594 -25.38889,-49.36242 -25.39389,-49.36386 -25.40052,-49.36616 -25.40663,-49.36717 -25.40942,-49.36696 -25.41436,-49.36688 -25.41748,-49.36796 -25.42053,-49.3694 -25.42352,-49.37034 -25.4271,-49.37081 -25.43196))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset's 29 records were derived from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073053-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14639969
title: Publications on taboo-related language (2000-2024) [dataset]

description: Publications on taboo-related language in the Anglophone academic context organised by research disciplines: cognitive semantics, discourse analysis, pragmatics, psycholinguistics, sociolinguistics, translation studies and a miscellaneous category including research fields not otherwise specified (2000-2024)
DOI: 10.5281/zenodo.14639970
title: Publications on taboo-related language (2000-2024) [dataset]

description: Publications on taboo-related language in the Anglophone academic context organised by research disciplines: cognitive semantics, discourse analysis, pragmatics, psycholinguistics, sociolinguistics, translation studies and a miscellaneous category including research fields not otherwise specified (2000-2024)
DOI: 10.5281/zenodo.14674880
title: ANALYSIS OF WIDELY USED DRUGS AND THEIR BENEFITS IN THE TREATMENT OF BREAST CANCER IN SAMARQAND
DOI: 10.5281/zenodo.14674881
title: ANALYSIS OF WIDELY USED DRUGS AND THEIR BENEFITS IN THE TREATMENT OF BREAST CANCER IN SAMARQAND
DOI: 10.57967/hf/4175
title: dmp-user-annotated