cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/e243987v1
title: NNDSS - Table II. Mumps to Rabies, animal

description: NNDSS - Table II. Mumps to Rabies, animal - 2016. In this Table, provisional* cases of selected† notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data. Data on United States exclude counts from US territories.
Note:
These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting.

Case counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available.

Footnotes:
C.N.M.I.: Commonwealth of Northern Mariana Islands.
U: Unavailable. -: No reported cases. N: Not reportable. NN: Not Nationally Notifiable. NP: Nationally notifiable but not published. Cum: Cumulative year-to-date counts. Med: Median. Max: Maximum.

* Case counts for reporting year 2016 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for TB are displayed in Table IV, which appears quarterly.
† Three low incidence conditions, rubella, rubella congenital, and tetanus, are in Table II to facilitate case count verification with reporting jurisdictions.
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description: (Downloaded 1/12/2026)
DOI: 10.15468/dl.3zwvbv
title: Occurrence Download

description: A dataset containing 33 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is North Macedonia",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Juniperus excelsa, Cupressus sempervirens, Taxus baccata)"
 ]
}

 The dataset includes 33 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028039-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.16904/envidat.563
title: Sequential Wind-Doppler LiDAR wind profile measurements on the Gotthard pass in Switzerland - Summer 2023

description: This data include wind speeds, wind directions, turbulence, temperature, pressure and humidity data of 10 LiDAR locations along a transect in the Gotthard wind park taken in during the summer of 2023. 
The data is quality controlled and annotated according to CF-1.8 data principles. The methods behind this data collection are explained in an article under review called "Resolving three-dimensional wind velocity fields with sequential wind-Doppler LiDAR for wind energy in the complex terrain - Gotthard Pass, Switzerland".
description: Resource Title: Gotthard_Transect_Experiment_STA_standard_Final.nc
 Size: 160480442 bytes
 Format: application/x-netcdf
 URL: https://www.envidat.ch/dataset/c27cc611-4328-4442-84f2-f9258a703e93/resource/2b1a2dcd-f886-4f1d-a75f-6bcb680ec8f8/download/gotthard_transect_experiment_sta_standard_final.nc
 Description:
DOI: 10.5284/1135570
title: Digital Archive from Archaeological Trial Trenching between Long Itchington and River Leam, Stratford on Avon, Warwickshire, 2018 (HS2 Phase One)

description: This collection comprises specialist reports, images, site records, spreadsheets and GIS data from trial trenching between Long Itchington and River Leam, Stratford on Avon. Work was carried out by Connect Archaeology between August and December 2018 as part of Phase One of the High Speed 2 (HS2) rail project. The remains of probable Iron Age dated enclosures and a probable Romano-British dated enclosure were identified.
DOI: 10.15468/dl.qgqf5a
title: Occurrence Download

description: A dataset containing 3841 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((119.3274 21.6543,122.65808 21.6543,122.65808 25.35797,119.3274 25.35797,119.3274 21.6543))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Lampyridae",
 "Year 1900-2025"
 ]
}

 The dataset includes 3841 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028038-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.16904/envidat.219
title: Effects of canopy disturbance on Swiss forests

description: The files refer to the data used in Scherrer et al. (2021) "Canopy disturbances catalyse tree species shifts in Swiss forests" in _Ecosystems_.
The two data files contain information about site factors (e.g. disturbance events, dominant tree species, elevation) and species-specific biomass of 5521 plots of the Swiss National Forest Inventory visited during the second (NFI2 1993-1995) and fourth (NFI4 2009-2017) inventory.
In addition, we provide all the R-scripts necessary to reproduce the Figures and data tables of the related publication.
For more detailed information about the data files please check the ReadMe.docx file.
description: Resource Title: ReadMe
 Size: 12819 bytes
 Format: application/vnd.openxmlformats-officedocument.wordprocessingml.document
 URL: https://www.envidat.ch/dataset/4e57b948-5e00-4ed3-9047-f528b8857264/resource/554a633d-c927-46af-98bc-1a5819b6c515/download/readme.docx
 Description: A detailed description of the data.
description: Resource Title: Site Information
 Size: 2308907 bytes
 Format: text/csv
 URL: https://www.envidat.ch/dataset/4e57b948-5e00-4ed3-9047-f528b8857264/resource/0e3fddb2-66e9-44d7-b48b-36d1611dc815/download/sites.df.en.csv
 Description: File containing the information on parameters of the 5521 National forest inventory sites recorded during the NFI2 and NFI4.

CLNR = Number of site in the National Forest Inventory
INVNR = Information on which National Forest Inventory
Elevation = Elevation above sea level
Perc_Conifers = Proportional contribution of Conifer species to the total basal area of a site
DominantTreeSp = Dominant tree taxa of a site as defined by maximum basal area contribution
DMGTYP = Type of damage observed between NFI2 and NFI4 (up to four observations possible)
DMGYEAR = In case a DMGTYPE event was observed here is the corresponding year marked.
BioReg = Biogeographic region of the site
Ggrob = NaiS site type (Potential natural forest vegetation of a site)
DisturbanceType = Type of disturbance recorded on the site between NFI2 and NFI4.
description: Resource Title: R-Scripts for Figures and Data tables
 Size: 25336 bytes
 Format: application/zip
 URL: https://www.envidat.ch/dataset/4e57b948-5e00-4ed3-9047-f528b8857264/resource/ed130c01-10d6-45e7-9c68-f3ce30ef1e74/download/r-scripts.zip
 Description: This archive contains the R-Scripts to reproduce the Figures 2-4, S1-S4 and the data tables S4-S10 in the associated publication.

Scherrer, D., Ascoli, D., Conedera, M., Fischer, C., Maringer, J., Moser, B., . . . T., W. (2021). Canopy disturbances catalyse tree species shifts in Swiss forests. Ecosystems, in revision.
DOI: 10.16904/envidat.138
title: Data set on bromide oxidation by ozone in snow during metamorphism from laboratory study

description: Earth’s snow cover is very dynamic on diurnal time scales. The changes to the snow structure during this metamorphism have wide ranging impacts such as on avalanche formation and on the capacity of surface snow to exchange trace gases with the atmosphere. Here, we investigate the influence of dry metamorphism, which involves fluxes of water vapor, on the chemical reactivity of bromide in the snow. For this, the heterogeneous reactive loss of ozone at a concentration of 5-6E12 molecules cm-3 is investigated in artificial, shock-frozen snow samples doped with 6.2 uM sodium bromide and with varying metamorphism history. The oxidation of bromide in snow is one reaction initiating polar bromine releases and ozone depletions.
description: Resource Title: Readme file
 Size: 503143 bytes
 Format: application/pdf
 URL: https://www.envidat.ch/dataset/b6633dad-a0a5-497e-b393-d7c6ee018c0a/resource/d41fa166-35e9-430f-b96d-a5862556d9cd/download/edebeli_acp_2019__snowbrmet.pdf
 Description: This file shows data, code, and plots.
description: Resource Title: Matlab Script to view and plot data
 Size: 9299 bytes
 Format: application/vnd.wolfram.mathematica.package
 URL: https://www.envidat.ch/dataset/b6633dad-a0a5-497e-b393-d7c6ee018c0a/resource/b718b5db-b15c-4f88-95a9-ce649b79308a/download/edebeli_acp_2019__snowbrmet.m
 Description:
description: Resource Title: Matlab Data
 Size: 1008529 bytes
 Format: .mat
 URL: https://www.envidat.ch/dataset/b6633dad-a0a5-497e-b393-d7c6ee018c0a/resource/2cbff0e6-bf62-4476-a533-10cb745520ed/download/edebeli_acp_2020__data.mat
 Description: All data as Matlab mat file
DOI: 10.16904/envidat.200
title: Hymenoptera

description: Hymenopteran data from all historic up to the recent projects (29.10.2019) of WSL, collected with various standardized methods in landscapes of different types.
Data are provided on request to contact person against bilateral agreement.
description: Resource Title: FIDO_global_extract 2021-01-19_22-38-03 WSL-Hymenoptera.txt
 Size: 96192693 bytes
 Format: text/plain
 URL: https://www.envidat.ch/dataset/47d58d2d-6019-4fed-8fca-529909c260ed/resource/497a4ef2-f2de-44fe-8a11-434ae15c3094/download/fido_global_extract-2021-01-19_22-38-03-wsl-hymenoptera.txt
 Description: Data extract in TAB-delimted format. First row is header, first column is counter.
DOI: 10.16904/envidat.150
title: High resolution climate data for Europe

description: High-resolution information on climatic conditions is essential to many applications in environmental and ecological sciences. Here we present downscaled climate data for the CORDEX EUR11 domain at a high resolution of 30 arc sec. The temperature algorithm is based on statistical downscaling of atmospheric temperature lapse rates. The precipitation algorithm incorporates orographic predictors including wind fields, valley exposition, and boundary layer height. The resulting data consist of a daily temperature and precipitation timeseries.
The data is distributed under a: Creative Commons: Attribution 4.0 International (CC BY 4.0) license.
description: Resource Title: Data Access
 Size: 2199023255552 bytes
 Format: No Info
 URL: https://envicloud.wsl.ch/#/?bucket=https%3A%2F%2Fos.zhdk.cloud.switch.ch%2Fchelsav2&prefix=EUR11%2F
 Description:
description: Resource Title: CHELSA_EUR11 technical documentation
 Size: 713475 bytes
 Format: application/pdf
 URL: https://www.envidat.ch/dataset/9e2c4a69-443d-4eb1-b8ab-697fd50bc7d2/resource/bc1df26a-0b8f-4547-872d-f00ed45db554/download/chelsa_eur11_technical_documentation.pdf
 Description: Technical documentation of the data with variable names and methodology.
DOI: 10.16904/envidat.187
title: Non-Binary Environmental Archive Data (NEAD) format

description: Important note: From 2025 the NEAD format is being transformed into the interoperable CSV (iCSV) format, a formalized and standardized evolution of the NEAD format. Furthermore, iCSV should be backwards compatible with NEAD. More information on the new iCSV format will be linked here in due time.
Acknowledgement: The NEAD format includes NetCDF metadata and is proudly inspired by both SMET and NetCDF formats. NEAD is designed as a long-term data preservation and exchange format.
The NEAD specifications were presented at the "WMO Data Conference 2020 - Earth System Data Exchange in the 21st Century" (Virtual Conference). 
-----------------------
Summary:
The Non-Binary Environmental Data Archive (NEAD) format is being developed as a generic and intuitive format that combines the self-documenting features of NetCDF with human readable and writeable features of CSV. It is designed for exchange and preservation of time series data in environmental data repositories. 
License: The NEAD specifications are released to the public domain under a Creative Commons CC0 "No Rights Reserved" international license. You can reuse the information contained herein in any way you want, for any purposes and without restrictions.
description: Resource Title: NEAD syntax v0.1 (EBNF)
 Size: 3383 bytes
 Format: text/plain
 URL: https://www.envidat.ch/dataset/d51285c9-953d-42e5-a925-20209cde10e5/resource/bf21243d-cdb9-47a8-a15b-d42efaef5d82/download/ebnf.txt
 Description:
description: Resource Title: NEAD on GitHub
 Size: 1024 bytes
 Format: No Info
 URL: https://github.com/GEUS-PROMICE/NEAD
 Description:
description: Resource Title: MeteoIO (future reference implementation)
 Size: 1024 bytes
 Format: .html
 URL: https://www.slf.ch/en/services-and-products/meteoio.html
 Description:
description: Resource Title: PyNEAD (future reference implementation)
 Size: 1024 bytes
 Format: No Info
 URL: https://github.com/GEUS-PROMICE/pyNEAD
 Description:
DOI: 10.16904/envidat.242
title: Four years of daily stable water isotope data in stream water and precipitation from three Swiss catchments

description: This dataset contains four years of daily measurements of the natural isotopic composition (2H, 18O) of precipitation and stream water at the Alp catchment (area 47 km2) in Central Switzerland and two of its tributaries (0.73 km2 and 1.55 km2). In addition, the dataset contains daily measurements of key hydrometeorological variables.
description: Resource Title: Alptal_Isotopes_daily_2015-2019_v2.txt
 Size: 760332 bytes
 Format: text/plain
 URL: https://www.envidat.ch/dataset/6a2fefc6-ce6d-4eb7-9ea9-c37b64959437/resource/7865517d-357b-4e08-8b6a-b405eca4e547/download/alptal_isotopes_daily_2015-2019_v2.txt
 Description: Version 2 of the dataset contains additional information on:
- line-conditioned (lc) excess
- precipitation sample volumes
- isotope data quality
description: Resource Title: Data Set Documentation: alptal_Isotopes_daily_2015-2019_v2
 Size: 158372 bytes
 Format: application/pdf
 URL: https://www.envidat.ch/dataset/6a2fefc6-ce6d-4eb7-9ea9-c37b64959437/resource/d26ca42e-4cdb-4ef8-bf35-a87d5239757d/download/data-set-documentation_sdata-21-00930.pdf
 Description: Documentations contains meta data of the data columns and information about the study catchments.
description: Resource Title: Alptal_Isotopes_daily_2015-2019
 Size: 717293 bytes
 Format: text/plain
 URL: https://www.envidat.ch/dataset/6a2fefc6-ce6d-4eb7-9ea9-c37b64959437/resource/8a06beab-3092-45d3-ad41-a59d79e6cb71/download/alptal_isotopes_daily_2015-2019.txt
 Description: Single comma-separated txt-file with daily data of stable water isotopes measured in streamwater and precipitation in the Swiss Alptal catchment and two of its tributaries (Erlenbach and Vogelbach), as well as daily data of key hydrometeorological variables from the Alptal valley
DOI: 10.16904/envidat.149
title: Angle of repose experiments with natural and spherical snow

description: Angle of repose experiments were performed with different snow types at temperatures between -2 and -40°C. They were used to examine granular snow dynamics on the grain-scale with focus on the role of grain shape and cohesion. The angle of repose was observed by sieving snow onto a round, freestanding base until a stationary heap was formed. 
This dataset consists of 1) the images of the experimental heaps that were taken to determine the angle of repose, 2) one binary 3D micro computed tomography image of each snow type. The CT images were taken with the SLF micro-CT40 to characterize snow properties and grain shape.
The experiments with natural snow types (rounded and faceted grains) and spherical model snow allowed for an examination of the differences in granular properties between natural grain shapes and spherical particles in view of Discrete Element Modelling. With the chosen temperatures, the effect of sintering could be observed that increases the angle of repose with increasing temperature.
description: Resource Title: Angle of repose and 3D CT images
 Size: 4831838208 bytes
 Format: No Info
 URL: https://envicloud.wsl.ch/#/?prefix=doi/envidat.149/2020_aor_paper_willibald_jog
 Description: 5 Snow types were examined and glass beads as a cohesion-less reference, named as follows:

RG: rounded grains (sieved with 0.7 - 1.4 mm) 

FC: faceted grains (1.4 - 2 mm)

FCS: small faceted grains (0.7 - 1.4 mm) 

IB: ice beads (4 mm)

IBS: small ice beads (2 - 2.2 mm)

GB: glass beads(2 mm)
description: Resource Title: README.txt
 Size: 1024 bytes
 Format: .txt
 URL: https://os.zhdk.cloud.switch.ch/envicloud/doi/envidat.149/2020_aor_paper_willibald_jog/readme.txt
 Description:
DOI: 10.16904/envidat.347
title: Reproducibility dataset for CRYOWRF validation

description: This dataset contains data and scripts for "CRYOWRF - a validation and the effect of blowing snow on the Antarctic SMB" (Gerber et al., submitted).
* Simulation_setup: Namelists and input information to run the simulation. Some input files need to be downloaded from Sharma et a., 2021.
* Static_input: Static topography input file of WRF (geo_em.d01). 
* WRF_27km_NoahMP: Preprocessed WRF output of the simulation run with the WRF using the surface parameterization Noah-MP to reproduce the figures and results in the paper.
* WRF_27km_CRYOWRF: Preprocessed WRF output of the simulation run with CRYOWRF to reproduce the figures and results in the paper.
* Scripts_Reproducibility: Python scripts to reproduce the figures and results in the paper.
Note:
* To run some of the scripts Atmospheric Weather station data needs to be prepared using Gerber and Lehning, 2022.
* AWS data is not provided and needs to be downloaded from the corresponding databases. Please make sure to comply with the respective terms and conditions.
description: Resource Title: Simulation_setup
 Size: 10669 bytes
 Format: application/zip
 URL: https://www.envidat.ch/dataset/73ebfcbc-bd0b-4d56-b162-2e86de009d1c/resource/79646165-0b4f-4495-b06a-dcd52d403019/download/simulation_setup.zip
 Description: Namelist and input files and information to run the WRF and CRYOWRF simulations used in the paper.
description: Resource Title: Static_input
 Size: 5034051 bytes
 Format: application/zip
 URL: https://www.envidat.ch/dataset/73ebfcbc-bd0b-4d56-b162-2e86de009d1c/resource/aa57ffee-2ec1-4561-8673-cf3d03cedeaf/download/static_input.zip
 Description: Static input data from the WRF simulations (used in the python scripts in Scripts_Reproducibility).
description: Resource Title: WRF_27km_NoahMP
 Size: 6657199309 bytes
 Format: .zip
 URL: https://os.zhdk.cloud.switch.ch/envicloud/doi/envidat.347/WRF_27km_NoahMP.zip
 Description: Processed WRF output (run with Noah-MP land surface model) used for the analysis and the figures in the paper.
description: Resource Title: WRF_27km_CRYOWRF
 Size: 28991029248 bytes
 Format: .zip
 URL: https://os.zhdk.cloud.switch.ch/envicloud/doi/envidat.347/WRF_27km_CRYOWRF.zip
 Description: Processed CRYOWRF output used for the analysis and the figures in the paper.
description: Resource Title: Scripts_Reproducibility_v1
 Size: 3227134 bytes
 Format: application/zip
 URL: https://www.envidat.ch/dataset/73ebfcbc-bd0b-4d56-b162-2e86de009d1c/resource/65815232-fd6a-4d1d-a280-a1ebc1c30375/download/scripts_reproducibility.zip
 Description: Python scripts to reproduces figures in Gerber et al., 2022, submitted.
description: Resource Title: Scripts_Reproducibility_v2
 Size: 3051205 bytes
 Format: application/x-zip-compressed
 URL: https://www.envidat.ch/dataset/73ebfcbc-bd0b-4d56-b162-2e86de009d1c/resource/d05a9210-b303-45cc-8f2d-f4292951df2e/download/scripts_reproducibility_v2.zip
 Description: Python scripts to reproduces figures in Gerber et al., 2022, revised
DOI: 10.16904/envidat.381
title: MOSAIC Snow on Sea Ice Data

description: Data accompanying David Wagners' Dissertation. 
Covers model results and various input from ALPINE3D and SNOWPACK adjusted for sea ice during MOSAiC.
description: Resource Title: ALPINE3D setup for MOSAiC
 Size: 9663676416 bytes
 Format: .zip
 URL: https://os.zhdk.cloud.switch.ch/envicloud/doi/envidat.381/a3d_jgr.zip
 Description: The zip file contains a folder structure that must be kept as it is in order to run the simulation in the current configuration.
The setup contains both input and output data as well as the model configuration as used in the submitted manuscript 
"Towards a fully physical representation of snow on Arctic sea ice using a 3D snow-atmosphere model".

The zip file contains 3 main folders:
* base_setup_files
* a3d_jgr_alpha1
* a3d_jgr_alpha3

The "base_setup_files" contains all input files that are necessary to run the reference (R) simulation ("a3d_jgr_alpha1" folder) and the comparison "C" scenario ("a3d_jgr_alpha3") folder. In the a3d_jgr_alpha1 and a3d_jgr_alpha3 folders you find the corresponding outputs as used in the paper, as well as the settings used - which only differ by the changed "SCHMIDT_DRIFT_FUDGE" value that is found in each a3d_jgr_alphax/setup/io.ini file. The input data is already linked accordingly in each io.ini file.

a3d_jgr_alpha1 also contains the detailed snow profiles for each point along the transects.

To reproduce the results, download and compile the source code for the adjusted ALPINE3D model first, which can be obtained from https://gitlabext.wsl.ch/snow-models/alpine3d.git under the "alpine3d_mosaic" branch. After installing, you can run the provided model setup uploaded here.
description: Resource Title: SNOWPACK setup for MOSAiC
 Size: 2386070 bytes
 Format: .zip
 URL: https://os.zhdk.cloud.switch.ch/envicloud/doi/envidat.381/snowpack_jgr.zip
 Description: The zip file contains both input and output data as well as the model configuration as used in the submitted manuscript "Towards a fully physical representation of snow on Arctic sea ice using a 3D snow-atmosphere model".

The zip file contains 2 main folders: 
* SNOWPACK_JGR_ALPHA1
* SNOWPACK_JGR_ALPHA3

In the SNOWPACK_JGR_ALPHA1 (reference "SP_R" simulation) and SNOWPACK_JGR_ALPHA3 (comparison "SP_C" scenario) folders you find the corresponding inputs, outputs and configuration as used in the paper, as well as the settings used - which only differ by the changed "SCHMIDT_DRIFT_FUDGE" value that is found in each SNOWPACK_JGR_ALPHA/setup/io.ini file. The input data is already linked accordingly in each io.ini file.

To reproduce the results, download and compile the source code for the adjusted SNOWPACK model first, which can be obtained from https://gitlabext.wsl.ch/snow-models/snowpack.git under the "snowpack_mosaic" branch. After installing, you can run the provided model setup uploaded here.