cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7923/g4h41pb6
title: Downscaled Climate Model Output for the Contiguous United States from IPCC AR4 Scenarios [Bias Corrected Statistical Downscaling (BCSD) Method]

description: This data series contains 2868 temporal datasets. These data are climate model outputs that have been downscaled to 4-km spatial resolution using the Bias Corrected Statistical Downscaling (BCSD) method. Moore and Walden have modified the BCSD method described by Wood et al (2002), Long-range experimental hydrologic forecasting for the eastern United States. Journal of Geophysical Research-Atmospheres 107: 4429-4443 and Salathe (2005), Downscaling simulations of future global climate with application to hydrologic modeling. International Journal of Climatology 25: 419-436. The modifications include a different interpolation scheme between GCM grid cells and a different approach to dealing with extreme values (Z-scores versus CDF method). The spatial resolution of these data are determined by the historical dataset used to derive statisitcal relationships between the GCM and past measurements. The 4-km Parameter-elevation Relationships on Independent Slopes Model (PRISM) data are used here from Daly et al, (1994), A statistical-topographic model for mapping climatological precipitation over mountainous terrain. Journal of Applied Meteorology 33: 140-158.
DOI: 10.7923/9h5k-8k93
title: Data and R Source Code for "Toward a Novel Laser-Based Approach for Estimating Snow Interception"

description: The primary objective of this study was to provide a feasibility assessment for estimating snow interception volume with terrestrial laser scanning (TLS), providing information on challenges and opportunities for future research. During the winters of 2017 and 2018, intercepted snow masses were continuously measured for two model trees suspended from load-cells. Simultaneously, autonomous terrestrial lidar scanning (ATLS) was used to develop volumetric estimates of intercepted snow. 
description: These data and R source code accompany the journal letter, "Toward a Novel Laser-Based Approach for Estimating Snow Interception" as published in Remote Sensing.

Russell, M.; U. H. Eitel, J.; J. Maguire, A.; E. Link, T. Toward a Novel Laser-Based Approach for Estimating Snow Interception. Remote Sens. 2020, 12, 1146.

https://doi.org/10.3390/rs12071146
DOI: 10.7923/bqhx-2e04
title: Playa wetland responses to droughts and hydrologic alteration

description: Notated R code, CSV files, and metadata for Russell et al. (2020) publication entitled "Playa wetland responses to droughts and hydrologic alteration".

The study asks the following questions:

(1) What are the drivers of playa inundation and how might intensifying droughts affect habitat availability?
(2) Are there particular playas that serve as hydrologic refugia during droughts, and if so, how are these patterns related to playa development?

Remote sensing data were collated and analyzed for 153 playa in the Hart-Sheldon National Wildlife Refuge Complex (SE Oregon and N Nevada) between 1985-2015. Notated R code provides step-by-step data download, collation and modeling instructions. CSV files contain the tabular outputs, including: monthly and annual time-step remote sensing data for surface water presence/duration at each playa, and Standardized Precipitation-Evapotranspiration Index (SPEI) at each playa.
DOI: 10.7923/cmm3-tj85
title: Feeding intensity of insect herbivores is associated more closely with key metabolite profiles than phylogenetic relatedness of their potential hosts

description: There are four files:

Rapo_et al_Glucosinolates _RawData.csv
Columns: Plant Species, Population ID, Ind# (plant), Y/O (young/old leaf), Label (internal code), subset (internal code), Glc Weight (weight of tissue extracted), Names of glucosinolates (columns J-AJ) with values in µmol, Total = sum of columns J-AJ

Rapo_et al_Glucosinolate Distances_young leaves.csv
Distance matrix based on similarity of mean glucosinolate profiles for all species used to calculate dendrogram. Methods as in Rapo et al.

Rapo_et al_Glucosinolate Distances_old leaves.csv
Distance matrix based on similarity of mean glucosinolate profiles for all species used to calculate dendrogram (old leaves only). Methods as in Rapo et al.

Rapo_et al_Glucosinolate Distances_all leaves.csv
Distance matrix based on similarity of mean glucosinolate profiles for all species used to calculate dendrogram(young leaves only). Methods as in Rapo et al.
DOI: 10.7923/3cjg-wy61
title: Impacts of 2015 settlement agreement on Idaho's farmers

description: Survey data collected on the impacts of the 2015 water settlement agreement in Idaho on Idaho's farmers. Data is focused on how having less groundwater affected their farm operations and farm management decisions.
DOI: 10.7923/6t5b-y124
title: The microbial associates of precipitation over four seasons, at three locations in the United States

description: These data were used in a paper accepted in Ecological Monographs on 17 September 2019, entitled "Spatiotemporal patterns of microbial composition and diversity in precipitation", hereafter Aho et al. (in press). Microbes in the atmosphere have broad ecological impacts, including the potential to trigger precipitation through species and strains that act as ice nucleation particles. To characterize spatiotemporal trends of microbial assemblages in precipitation we sequenced 16S (bacterial) and 18S (fungal) rRNA gene amplicon libraries collected from 72 precipitation events in three US states (Idaho, Louisiana, and Virginia) over four seasons.

The datasets provided here include:
1) Read totals for fungal and bacterial operational taxonomic units (OTUs),
2) Taxonomic assignments at levels of domain through menus for individual OTUs,
3) Relevant metadata.
DOI: 10.7923/w291-m768
title: Modeled potential and realized niches of the American Three-toed Woodpecker and Flammulated Owl of northern Idaho

description: The dataset contains the modeled potential niche of the American Three-Toed Woodpecker and the realized niche of the Flammulated Owl across the Northern Rockies Ecoregion of Idaho. Previously published niche models were transferred to the study region and informed with the outputs of the forest landscape model LANDIS-II. The spatial grain of the data is 200 meters and the Flammulated Owl model is the base model or the niche model’s original input sources. The parameterizations of the LANDIS-II model are provided with the dataset.
DOI: 10.7923/y0x4-0614
title: Summary of published data for Higgins et al. 2017 study of Total Eclipse

description: Benton County, Oregon (study conducted on private land located near Corvallis, Ore.)
Investigators: Chad Higgins (1), Steve Drake (1), Jason Kelley (1), Sonia Wharton (2), Derek Jensen (2), Holly Oldroyd (3)
(1) Department of Biological and Ecological Engineering, Oregon State University
(2) Lawrence Livermore National Laboratory
(3) Department of Civil and Environmental Engineering, University of California Davis

Files Included under this DOI
-----------------------------
Array_Metadata_Final.xlsx: tabular field data recording instrument heights and other site measurements

Eclipse_survey.pdf: Projected image (map) of GPS survey data used in precise locating anemometer array.
2017Eclipse_Supplementary_maps.pdf: additional maps of the survey site with aerial lidar derived surface elevation and nearby vegetation (roughness element) heights

1mEC_19Aug-22Aug.mat: 1 minute flux calculations from IRGASON co-located with Surface Energy Budget sensors. 
20mEC_19Aug-31Aug.mat: IRGASON flulx calculated for extended period during and following eclipse

EC_01min.mat,_02min.mat,_20min.mat: Example ensemble flux calculations from sonic anemometer array for 1 minute, 2 minute and 20 minute averaging periods, respectively

ANN-ECL_EB_DATA.mat: Data records from Surface Energy Budget Sensors

ECens_Frontiers.m: Example eddy covariance ensemble calculations, data handling, and cross-correlation analysis.  Output Variable names (stored in example data files) are indicated throughout in comments.

LIDARwindprofiles_10min.xlsx: Summary data from LIDAR wind profilers 

Eclipse2017_README.txt: This text file.
DOI: 10.7923/9v2y-rp13
title: Stable isotope data (raw) from carbonate rocks in the Navajo Sandstone
DOI: 10.7923/nnxk-8p22
title: ANN-ET Project: 2018 Crop evapotranspiration and Neural network method
DOI: 10.7923/7nt0-7e64
title: ANN-ET Project: 2017 Crop evapotranspiration and Neural network method
DOI: 10.7923/d1zw-d704
title: Petrographic analysis of carbonate rocks in the Navajo Sandstone
DOI: 10.7923/g4f769gr
title: Native Riverine Fish Species in the Portneuf Drainage, Idaho - 1957 to 2011

description: Fish specimen records from 1957 to 2011 for the Portneuf Drainage Basin were compiled and georeferenced to create dot-distribution maps for each fish species. The fish occurrence records were obtained from the Idaho Museum of Natural History specimens collected by various researchers and ichthyology classes from 1957 to 1981. The fish riverine surveys were collected by the Region 5 office of Idaho Department of Fish and Game [1991 to 2011] by electrofishing method*. These fish riverine records were organized in tables in 2014 using descriptions by collectors and georeferenced using "GEOLocate" an online web service; [http://www.museum.tulane.edu/geolocate/]. This dataset is part of the larger Managing Idaho’s Landscapes for Ecosystem Services (MILES) study, an NSF/EPSCoR funded project to understand the impact of climate change and urban growth on social and ecological systems and services in mid-sized cities in Idaho. This information will be used to develop distribution models for each species to gain a more complete picture of where fish are distributed within the Portneuf Drainage** and what environmental factors are influencing where fish occur. ………… *Electrofishing is a common scientific survey method used to sample fish populations to determine abundance, density, and species composition. When performed correctly, electrofishing results in no permanent harm to fish, which return to their natural state in as little as two minutes after being stunned. ………… **The Portneuf Drainage is 3,434 square kilometers located in the Northern Basin and Range Ecoregion in Southeastern Idaho. The climate for the region is characterized as temperate and continental, with primary land cover types shrub-scrub, cultivated crops, evergreen forest, herbaceous vegetation, and deciduous forest. The elevation ranges from 1,309 to 2,821 meters and includes the Bannock and Portneuf mountain ranges. There are 927 kilometers of perennial streams, 1,453 kilometers of intermittent streams, and 225 kilometers of excavated canals. The Portneuf River (156 kilometers in length) is the main channel within the basin and has been highly modified by a dam to form Chesterfield Reservoir, channelization, diversions for irrigation, and flood control structures.
DOI: 10.15468/dl.umbeje
title: Occurrence Download

description: A dataset containing 45 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Konosirus punctatus",
 "Geometry POLYGON((119.300000 20.500000, 122.100000 20.500000, 122.100000 25.400000, 119.300000 25.400000, 119.300000 20.500000))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 45 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016979-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.spk4xz
title: Occurrence Download

description: A dataset containing 9472 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Leptodactylus melanonotus"
 ]
}

 The dataset includes 9472 records from 96 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016978-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jrz5v2
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((2.113 42.313,2.135 42.313,2.135 42.328,2.113 42.328,2.113 42.313))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Mammalia"
 ]
}

 The dataset includes 7 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016981-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cpeykb
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Arachis hypogea",
 "Country is Zimbabwe",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016980-250920141307145/datasets/export for details.
DOI: 10.34847/nkl.bcac9abs
title: VOC24_0059_03

description: Fichier source (TGD).
description: Fichier source (WAV).
description: Fichier dérivé (TEI).
DOI: 10.34847/nkl.c6c95u65
title: VOC24_0060_02

description: Fichier source (TGD).
description: Fichier source (WAV).
description: Fichier dérivé (TEI).
DOI: 10.34847/nkl.06942685
title: VOC24_0060_07

description: Fichier source (TGD).
description: Fichier source (WAV).
description: Fichier dérivé (TEI).
DOI: 10.34847/nkl.11a5u4v7
title: VOC24_0060_05

description: Fichier source (TGD).
description: Fichier source (WAV).
description: Fichier dérivé (TEI).
DOI: 10.34847/nkl.380e6c6x
title: VOC24_0060_01

description: Fichier source (TGD).
description: Fichier source (WAV).
description: Fichier dérivé (TEI).
DOI: 10.34847/nkl.3e6c7vmi
title: VOC24_0060_09

description: Fichier source (TGD).
description: Fichier source (WAV).
description: Fichier dérivé (TEI).
DOI: 10.34847/nkl.400cb563
title: VOC24_0059_04

description: Fichier source (TGD).
description: Fichier source (WAV).
description: Fichier dérivé (TEI).
DOI: 10.34847/nkl.52ba44rt
title: VOC24_0061_07

description: Fichier source (TGD).
description: Fichier source (WAV).
description: Fichier dérivé (TEI).
DOI: 10.34847/nkl.6d5b1i4j
title: VOC24_0060_12

description: Fichier source (TGD).
description: Fichier source (WAV).
description: Fichier dérivé (TEI).
DOI: 10.34847/nkl.7871zxa0
title: VOC24_0060_10

description: Fichier source (TGD).
description: Fichier source (WAV).
description: Fichier dérivé (TEI).
DOI: 10.34847/nkl.7c19413w
title: VOC24_0061_03

description: Fichier source (TGD).
description: Fichier source (WAV).
description: Fichier dérivé (TEI).
DOI: 10.34847/nkl.8d8ca7ni
title: VOC24_0060_11

description: Fichier source (TGD).
description: Fichier source (WAV).
description: Fichier dérivé (TEI).
DOI: 10.34847/nkl.a9cbuord
title: VOC24_0060_08

description: Fichier source (TGD).
description: Fichier source (WAV).
description: Fichier dérivé (TEI).
DOI: 10.34847/nkl.bdec53do
title: VOC24_0061_04

description: Fichier source (TGD).
description: Fichier source (WAV).
description: Fichier dérivé (TEI).
DOI: 10.34847/nkl.c3cdxbce
title: VOC24_0060_06

description: Fichier source (TGD).
description: Fichier source (WAV).
description: Fichier dérivé (TEI).
DOI: 10.34847/nkl.ce6e78d6
title: VOC24_0060_04

description: Fichier source (TGD).
description: Fichier source (WAV).
description: Fichier dérivé (TEI).
DOI: 10.34847/nkl.eb88c2n3
title: VOC24_0061_01

description: Fichier source (TGD).
description: Fichier source (WAV).
description: Fichier dérivé (TEI).
DOI: 10.34847/nkl.f2a38582
title: VOC24_0061_02

description: Fichier source (TGD).
description: Fichier source (WAV).
description: Fichier dérivé (TEI).
DOI: 10.34847/nkl.ffc6p041
title: VOC24_0060_13

description: Fichier source (TGD).
description: Fichier source (WAV).
description: Fichier dérivé (TEI).
DOI: 10.5281/zenodo.17203003
title: pamflow's beginner tutorial dataset

description: This repository contains a minimal dataset designed to run tests on the passive acoustic data pipeline pamflow.

The repository includes:





Field Deployments Sheet: An Excel file that contains all the metadata associated with the deployments, including equipment, dates, spatial coordinates, and other relevant details.




Audio Data Folder: A folder with all audio data, structured with subfolders named by the deployment ID.


Target species: a csv file with a single column (scientificName) listing one species per row.


The Foundation for Conservation and Sustainable Development (FCDS) has been promoting sustainable forest management practices through community forestry to conserve local forests, reduce deforestation near the Serranía de Chiribiquete National Natural Park (PNN), and improve the quality of life of local communities. To evaluate the effectiveness of these actions, a community monitoring project was carried out in the municipalities of San Jose del Guaviare, El Retorno, and Calamar, located in Guaviare, Colombia.

The field audio recordings and monitoring design were co-created with the Humboldt Institute and the local community. If you use this dataset for testing or for developing other open-source tools, please be sure to acknowledge all participating community members, researchers, and institutions involved. The data cannot be used for machine learning purposes or for training AI models without explicit consent from the data creators.

Moises Romero Franco, Anibal De Jesus Martinez Peña,Daniel Chitiva Diaz, Nubia Quintero Medina, Edgar Gustavo Rodriguez Garzon, Granja Escuela Capricho Granja Escuela Capricho, Maria De Los Angeles Gaitan Muños, Flor Marleni Gaitan Muños, Jefferson Cocinero Garcia, Jose Eduardo Leon Triana, Cesar Augusto Urrego Gonzalez, Anderson Urrea Tacuma, Luz Idalba Restrepo Suarez, Maria De Los Angeles Gaitan Muñoz, Edwin Alcides Reyes Lopez, Juan Sebastián Ulloa, Juan Sebastián Cañas, Marcela González, Raúl Gómez

This data is provided under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) license.
DOI: 10.15468/dl.r4kkpu
title: Occurrence Download

description: A dataset containing 202 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Tarentola gomerensis)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 202 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016982-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rzyqcu
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is one of (USA.7_1, USA.22_1, USA.20_1, USA.30_1, USA.33_1, USA.40_1, USA.46_1)",
 "OccurrenceStatus is Present",
 "TaxonKey is Protandrena aestivalis"
 ]
}

 The dataset includes 6 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016984-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.det8jw
title: Occurrence Download

description: A dataset containing 387 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Nematalosa come",
 "Geometry POLYGON((119.300000 20.500000, 122.100000 20.500000, 122.100000 25.400000, 119.300000 25.400000, 119.300000 20.500000))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 387 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016986-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.whxgv2
title: Occurrence Download

description: A dataset containing 40817 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Tichodroma muraria)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 40817 records from 362 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016983-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7x8gu6
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cryptostegia madagascariensis",
 "Country is Belize",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016987-250920141307145/datasets/export for details.
DOI: 10.15468/dl.znvzae
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cryptostegia madagascariensis",
 "Country is Grenada",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016988-250920141307145/datasets/export for details.
DOI: 10.15468/dl.vm6usr
title: Occurrence Download

description: A dataset containing 2710346 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Australia",
 "HasCoordinate is true",
 "Year is 1999"
 ]
}

 The dataset includes 2710346 records from 359 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016890-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/dfsmbn
title: Calls-for-Papers Dataset

description: This dataset is a collection of “calls-for-papers” housed by the University of Pennsylvania since 1995 (https://call-for-papers.sas.upenn.edu/). Use README file for metadata description.

IMPORTANT NOTE: the file CfPs_DEDUPLICATED.csv presents data after cleaning process (adding of id tags, duplication fixes, etc). The other .csv files are the raw product of the scrapings.