cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3535/6he-yt3-zsm
title: Vicia L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.15468/dl.gqphh3
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is BOLD:ACC0206"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0112689-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/85z-hq8-9g6
title: Dactylorhiza romana (Sebast.) Soó

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/sb6-r2d-lsp
title: Aneilema lanceolatum subsp. lanceolatum

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/bh3-yhd-npb
title: Medicago intertexta (L.) Mill.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/p59-0m7-wz6
title: Asyneuma virgatum subsp. virgatum

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/22d-7ra-tnh
title: Peperomia tenella (Sw.) A. Dietr.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/dtk-fne-l5z
title: Plantae

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/h6f-eg0-av2
title: Campanula bononiensis L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.15468/dl.dv7w3y
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Centaurea calcitrapa",
 "Country is Mexico",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028846-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25574/23340
title: Chandra X-ray Observatory ObsId 23340

description: Verification of the Rankine-Hugoniot relations in accreting flow of a magnetic cataclysmic variable
DOI: 10.21220/v5g74n
title: Associated dataset: The competing impacts of climate change and nutrient reductions on dissolved oxygen in Chesapeake Bay
DOI: 10.25574/23341
title: Chandra X-ray Observatory ObsId 23341

description: Verification of the Rankine-Hugoniot relations in accreting flow of a magnetic cataclysmic variable
DOI: 10.2909/e5397b58-6e4a-4961-8a6c-5cae51486fc3
title: Reference Land Cover in Great Virunga 2016-2018 (vector) - version 1, Feb. 2019

description: This metadata refers to the Land Cover vector data generated over Virunga (Africa) for 2016 in the framework of the Copernicus Global Land Hot Spot Mapping (C-GL-HSM) contract under the coordination of JRC. This area of interest is either mapped with the generic 8 classes dichotomus legend (CAF_02_lc_a) or the detailed modular legend (CAF_02_lc_b).

The mapped area of interest (AOI) represents a Key Landscape for Conservation area (KLC). The KLC has a total size of about 4 million ha (40,000 km²) and is situated at the border between the Democratic Republic of Congo (DRC), Uganda and Rwanda. The main National Park is represented by the Virunga National Park, with a total area of 7768.93 km². Several parks in Rwanda and Uganda are adjacent and connected to Virunga

Reference time: 2016 - 2018
DOI: 10.15468/dl.jke7f8
title: Occurrence Download

description: A dataset containing 36 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Centaurea calcitrapa",
 "Country is New Zealand",
 "HasCoordinate is true"
 ]
}

 The dataset includes 36 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028847-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16322879
title: Sylph metagenome profiler taxonomy metadata files: v1.4.0

description: Taxonomy metadata files for the sylph metagenome profiler. Updating this zenodo as more files get uploaded.
DOI: 10.2909/80d4143b-b99b-4b9d-a8f7-bed0bc94f17d
title: Reference Land Cover in Kundelungu-Upemba 2016-2018 (vector) - version 1, Nov. 2019

description: This metadata refers to the Land Cover vector data generated over Kundelungu-Upemba (Africa) for 2016 in the framework of the Copernicus Global Land Hot Spot Mapping (C-GL-HSM) contract under the coordination of JRC. 
This area of interest is either mapped with the generic 8 classes dichotomus legend (CAF_11_lc_a) or the detailed modular legend (CAF_11_lc_b). The mapped area of interest (AOI) represents a key landscape for conservation area (KLC). 

The KLC has a total size of 4,731,810 ha (47,318.1 km²) and is comprised by the Kundelungu Upemba National Parks complex. The Upemba National Park in the northern part of the KLC has a reported area of 1,367,365 ha (13,673.65 km²) while the Kundelungu National Park in the southern sector of the KLC has an area of 823,636 ha (8236.36 km²).

Reference time: 2016 - 2018
DOI: 10.15468/dl.ge5mvu
title: Occurrence Download

description: A dataset containing 574 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Monopsis stellarioides",
 "HasCoordinate is true",
 "Geometry POLYGON ((-17.66889 -35.11691, 51.34702 -35.11691, 51.34702 37.62, -17.66889 37.62, -17.66889 -35.11691))"
 ]
}

 The dataset includes 574 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028849-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dyvvha
title: Occurrence Download

description: A dataset containing 40130 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Germany",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Araschnia levana"
 ]
}

 The dataset includes 40130 records from 76 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028848-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.st6avf
title: Occurrence Download

description: A dataset containing 264 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Arabis caucasica",
 "Country is Norway",
 "HasCoordinate is true"
 ]
}

 The dataset includes 264 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028852-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3fbb3e
title: Occurrence Download

description: A dataset containing 1592 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((2.09283 48.73871,2.26468 48.73871,2.26468 48.86445,2.09283 48.86445,2.09283 48.73871))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Chiroptera"
 ]
}

 The dataset includes 1592 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028851-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.2909/c07b11ef-db52-4008-8514-a263b1ced9e5
title: Reference Land Cover in Lomami 2015-2019 (vector) - version 1, Sep. 2019

description: This metadata refers to the Land Cover vector data generated over Lomami (Africa) for 2016 in the framework of the Copernicus Global Land Hot Spot Mapping (C-GL-HSM) contract under the coordination of JRC. 
This area of interest is either mapped with the generic 8 classes dichotomus legend (CAF_15_lc_a) or the detailed modular legend (CAF_15_lc_b).

The mapped area of interest (AOI) represents a Key Landscape for Conservation area (KLC). It is situated in the central part of the Democratic Republic of Congo (DRC). The KLC has a total size of about 3.1 million ha (31,000 km²), while the Lomami National Park within the KLC has a total area of 8,873 km².
The Lomami National Park is the most recent established park in DRC, created in 2016. The park lies in the mostly undiscovered Lomami rainforest basin with very little human settlements and activities. Tropical lowland forest, savannah islands and riverine forest characterise the area. The park is rich in wildlife including large national endemic mammals such as okapi, the Congolese bonobo and a newly discovered monkey species named lesula (cercopithecus lomamiensis). Prior to park establishment the outer forests were mostly depleted of large animals by the commercial bushmeat trade (causing the nearly local extinction of the forest elephant in the southern part of the park). (https://www.congonationalparks.com/places/lomami-national-park/).

Reference time: 2016 - 2019
DOI: 10.5281/zenodo.16276842
title: WRF-Hydro Simulation of the 1960s Drought in the U.S. Delaware River Basin

description: WRF-Hydro model simulations were conducted to estimate surface water responses to climate and land use in the U.S. Delaware River Basin. WRF-Hydro is a hydrological modeling system developed at The National Science Foundation National Center for Atmospheric Research (NSF NCAR, https://ral.ucar.edu/projects/wrf_hydro). The Delaware River Basin model was cutout from the NOAA National Water Model v2.1 instance of WRF-Hydro, configured with a 1-km resolution Noah-MP land surface model, 250-m resolution terrain routing modules, and streamflow and lake representation on the NHDPlus version 2 stream, waterbody, and catchment network. Details of the NOAA National Water Model WRF-Hydro configuration can be found in Cosgrove et al. 2024 (https://doi.org/10.1111/1752-1688.13184). All model simulations were conduced with WRF-Hydro version 5.3.0 (https://github.com/NCAR/wrf_hydro_nwm_public/releases/tag/v5.3.0).

This dataset includes daily mean streamflow for all NWMv2.1 stream reaches in the Delaware River Basin WRF-Hydro model domain for a scenario with the calibrated National Water Model v2.1 forced with with a Weather Research and Forecasting (WRF) 4-km resolution reconstruction of the 1960s "drought of record". Land use is based on National Land Cover Data 2016 (https://www.sciencebase.gov/catalog/item/5d4c6a1de4b01d82ce8dfd2f) as consistent with the National Water Model v2.1. Model spinup was conducted from 1979-10-01 to 1988-10-01, then the drought scenario launched in 1959-10-01 (with 1988-10-01 starting states) and simulated through 1969-12-31. Model output streamflow and related variables were aggregated from hourly to local (U.S. Eastern Time Zone) day means using R (https://www.r-project.org/).

Included variables:



streamflow = Average daily streamflow (m^3/sec)

qSfcLatRunoff = Average daily surface runoff to channel (m^3/sec)

qBucket = Average daily baseflow to channel (m^3/sec)


Data resolutions:



NHDPlus v2 flowline, as adopted by the NOAA National Water Model v2.1

Daily mean (U.S. Eastern Time local days)
description: ACKNOWLEDGEMENTS: This material is based upon work supported by the U.S. Geological Survey under Cooperative Agreement No. G24AC00411-00. National Center for Atmospheric Research (NCAR) is a major facility sponsored by the National Science Foundation (NSF) under Cooperative Agreement 1852977.

DISCLAIMER: The views and conclusions contained in this document are those of the authors and should not be interpreted as representing the opinions or policies of the U.S. Geological Survey. Mention of trade names or commercial products does not constitute their endorsement by the U.S. Geological Survey.
DOI: 10.5281/zenodo.16276841
title: WRF-Hydro Simulation of the 1960s Drought in the U.S. Delaware River Basin

description: WRF-Hydro model simulations were conducted to estimate surface water responses to climate and land use in the U.S. Delaware River Basin. WRF-Hydro is a hydrological modeling system developed at The National Science Foundation National Center for Atmospheric Research (NSF NCAR, https://ral.ucar.edu/projects/wrf_hydro). The Delaware River Basin model was cutout from the NOAA National Water Model v2.1 instance of WRF-Hydro, configured with a 1-km resolution Noah-MP land surface model, 250-m resolution terrain routing modules, and streamflow and lake representation on the NHDPlus version 2 stream, waterbody, and catchment network. Details of the NOAA National Water Model WRF-Hydro configuration can be found in Cosgrove et al. 2024 (https://doi.org/10.1111/1752-1688.13184). All model simulations were conduced with WRF-Hydro version 5.3.0 (https://github.com/NCAR/wrf_hydro_nwm_public/releases/tag/v5.3.0).

This dataset includes daily mean streamflow for all NWMv2.1 stream reaches in the Delaware River Basin WRF-Hydro model domain for a scenario with the calibrated National Water Model v2.1 forced with with a Weather Research and Forecasting (WRF) 4-km resolution reconstruction of the 1960s "drought of record". Land use is based on National Land Cover Data 2016 (https://www.sciencebase.gov/catalog/item/5d4c6a1de4b01d82ce8dfd2f) as consistent with the National Water Model v2.1. Model spinup was conducted from 1979-10-01 to 1988-10-01, then the drought scenario launched in 1959-10-01 (with 1988-10-01 starting states) and simulated through 1969-12-31. Model output streamflow and related variables were aggregated from hourly to local (U.S. Eastern Time Zone) day means using R (https://www.r-project.org/).

Included variables:



streamflow = Average daily streamflow (m^3/sec)

qSfcLatRunoff = Average daily surface runoff to channel (m^3/sec)

qBucket = Average daily baseflow to channel (m^3/sec)


Data resolutions:



NHDPlus v2 flowline, as adopted by the NOAA National Water Model v2.1

Daily mean (U.S. Eastern Time local days)
description: ACKNOWLEDGEMENTS: This material is based upon work supported by the U.S. Geological Survey under Cooperative Agreement No. G24AC00411-00. National Center for Atmospheric Research (NCAR) is a major facility sponsored by the National Science Foundation (NSF) under Cooperative Agreement 1852977.

DISCLAIMER: The views and conclusions contained in this document are those of the authors and should not be interpreted as representing the opinions or policies of the U.S. Geological Survey. Mention of trade names or commercial products does not constitute their endorsement by the U.S. Geological Survey.
DOI: 10.15468/dl.83kgzw
title: Occurrence Download

description: A dataset containing 1003 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Centaurea calcitrapa",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1003 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028850-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/wxhlof
title: Processed Hurricane Evacuation Order Database (HEvOD)

description: This dataset took raw hurricane evacuation order data from the Hurricane Evacuation Order Database (HEvOD) to create a clean, county-level dataset suitable for merging with exposure and health outcome data. It contains one row per hurricane-county-alert combination with standardized names and FIPS codes.
DOI: 10.15468/dl.ngpguu
title: Occurrence Download

description: A dataset containing 59761 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cuscuta epithymum"
 ]
}

 The dataset includes 59761 records from 814 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028743-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.2909/fb7e8293-dea3-41f4-b901-6d1507b4e705
title: Reference Land Cover in Luangwa 2015-2018 (vector) - version 1, March 2018

description: This metadata refers to the Land Cover vector data generated over Luangwa (Africa) for 2015 in the framework of the Copernicus Global Land Hot Spot Mapping (C-GL-HSM) contract under the coordination of JRC. 
This area of interest is either mapped with the generic 8 classes dichotomus legend (SAF_14_15_lc_a).

The mapped area of interest (AOI) represents a Key Landscape for Conservation area (KLC). The KLC has a total size of 3,5 million ha (35,000 km²) and is in the eastern part of Zambia, at the end of the Great African Rift Valley System. The two National Parks have been established in 1971 and have a combined reported area of 1,368,600 ha (13,686 km²), 905,000 ha for South Luangwa and 463,600 ha for North Luangwa. The parks are within the central Zambezian and southern Miombo woodlands and Zambezian and Mopane woodlands and are characterized by the Luangwa River in the east and the Muchinga Escarpment in the west.

Reference time: 2015 - 2018
DOI: 10.15468/dl.wnvkhw
title: Occurrence Download

description: A dataset containing 79 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Arabis caucasica",
 "Country is Sweden",
 "HasCoordinate is true"
 ]
}

 The dataset includes 79 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028853-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b58hrv
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rattus norvegicus",
 "Country is Moldova, Republic of",
 "HasCoordinate is true"
 ]
}

 The dataset includes 13 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028854-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15907581
title: CRM BAM-B003 eCerto data file

description: Data file (RData) containing measurement data recorded during the production process of the Certified Reference Material BAM-B003 containing per- and polyfluoroalkyl substances (PFAS) in textiles. The data can be most conveniently opened using the Shiny-App eCerto which is accessible at https://www.bam.de/eCerto.
DOI: 10.5281/zenodo.15907582
title: CRM BAM-B003 eCerto data file

description: Data file (RData) containing measurement data recorded during the production process of the Certified Reference Material BAM-B003 containing per- and polyfluoroalkyl substances (PFAS) in textiles. The data can be most conveniently opened using the Shiny-App eCerto which is accessible at https://www.bam.de/eCerto.
DOI: 10.15468/dl.474av2
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Chinese Taipei",
 "TaxonKey is Castanopsis jucunda"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028855-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.2909/18ac5909-7e2b-4538-bc39-7c458935fd0f
title: Reference Land Cover in Madagascar Forests 2017-2019 (vector) - version 1, Jul. 2020

description: This metadata refers to the Land Cover vector data generated over Madagascar Forests (Africa) for 2017 in the framework of the Copernicus Global Land Hot Spot Mapping (C-GL-HSM) contract under the coordination of JRC. This area of interest is either mapped with the generic 8 classes dichotomus legend (SAF_21_lc_a) or the detailed modular legend (SAF_21_lc_b).

The mapped area of interest (AOI) represents a Key Landscape for Conservation area (KLC). The KLC has a total size of approximately 12,401,500 million ha (124,015 km²) and is covering the eastern escarpment and coastal plain of the north-south axis within the country of Madagascar. It includes almost all areas under protection of the eastern part of the country.

Reference time: 2017 - 2019
DOI: 10.5281/zenodo.15813583
title: Supporting code and data: Simulating multivariate hazards with generative deep learning

description: This repository contains all code to reproduce the figures in the paper Simulating mulitvariate hazards with generative deep learning. Note that due to stochasticity in the StyleGAN training, some results may vary slightly. This a WIP repository, to allow reviewers to assess the method.

Installation

git clone git@github.com:alisonpeard/hazGAN.git

cd environments

mamba create -f apple-silicon.yaml # or yaml for other OS env

mamba activate hazGANv0

 

The path to the data folder hazGAN-data is set in the .env file in the parent directory. Change it to point to the location of the extracted data zipfile.

 

This codebase is currently being migrated to a snakemake workflow to make it easier to run and modify. Some settings in the current setup are quite hardcoded.

 

The StyleGAN model is included in the styleGAN-DA folder. This model requires an nVIDIA GPU to run. The environment definition in environments/linux-gpu.yaml creates an environment that works with the model on linux machines.
DOI: 10.5281/zenodo.15838238
title: Supporting code and data: Simulating multivariate hazards with generative deep learning

description: This repository contains all code to reproduce the figures in the paper Simulating mulitvariate hazards with generative deep learning. Note that due to stochasticity in the StyleGAN training, some results may vary slightly. This a WIP repository, to allow reviewers to assess the method.

Installation

git clone git@github.com:alisonpeard/hazGAN.git

cd environments

mamba create -f apple-silicon.yaml # or yaml for other OS env

mamba activate hazGANv0

 

The path to the data folder hazGAN-data is set in the .env file in the parent directory. Change it to point to the location of the extracted data zipfile.

 

This codebase is currently being migrated to a snakemake workflow to make it easier to run and modify. Some settings in the current setup are quite hardcoded.

 

The StyleGAN model is included in the styleGAN-DA folder. This model requires an nVIDIA GPU to run. The environment definition in environments/linux-gpu.yaml creates an environment that works with the model on linux machines.
DOI: 10.15468/dl.27a8x5
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sinilabeo tungting"
 ]
}

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028857-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/3n6ghvszjb.2
title: A Forecast Panel Dataset of GDP Growth from ADB, EBRD, and World Bank

description: This dataset contains GDP growth forecasts compiled from the Asian Development Bank (ADB), the European Bank for Reconstruction and Development (EBRD), and the World Bank (WB). The dataset spans forecast vintages from 1989 to 2024 along with realized values. It covers 45 countries for ADB, 38 for EBRD, and 150 for WB as of Fall 2024, with varying availability over time.