cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18763082
title: ReEDS: Utility-scale PV profiles

description: This record provides modeled hourly utility-scale photovoltaic (PV) capacity factor profiles for the contiguous United States (U.S.), generated using the National Solar Radiation Database (NSRDB), System Advisor Model (SAM), and Renewable Energy Potential (reV) model. These profiles are used in the Regional Energy Deployment System (ReEDS) model.

 

Additional details are provided in the ReEDS documentation.

Technology assumptions

Utility-scale PV capacity factor profiles use assumptions consistent with the 2024 Annual Technology Baseline (ATB) and Lopez et al. (2025) assumptions for 2035, namely:






1-axis tracking with 0° tilt

Inverter loading ratio: 1.34

DC losses: 10.4%

Ground cover ratio: 0.4


Values are given in units of  $[MW_{AC,grid}/MW_{DC,array}]$, where  $MW_{AC,grid}$ is the post-inverter output to the grid and  $MW_{DC,array}$ is the pre-inverter PV array capacity. To convert to units of  $[MW_{AC,grid}/MW_{AC,nameplate}]$, the profiles should be multiplied by the inverter loading ratio of 1.34  $[MW_{DC,array}/MW_{AC,nameplate}]$.

Temporal resolution



All capacity factor profiles are at hourly resolution in U.S. Central Standard Time (UTC–06:00) and represent instantaneous values on the hour. The profiles span 15 weather years (2007–2013 + 2016–2023). For leap years, the final day of the year (December 31) is dropped, such that each year contains 8760 hours.

Spatial resolution



Capacity factor profiles are provided for three siting access assumptions described by Lopez et al. (2025) ("limited", "reference", and "open") and two spatial resolutions. Files with names ending in "county" are resolved for individual U.S. counties; files with names ending in "ba" are resolved for the 134 ReEDS model zones. Profiles are further differentiated into five resource classes, with higher class numbers indicating higher average capacity factor.




 

File structure





county2zone.csv: U.S. counties comprising each of the 134 ReEDS model zones

cf_upv_{access scenario}_{ba or county}.h5: Hourly capacity factor profiles. Columns are labeled as {resource class}|p{zone number or 5-digit county FIPS code}.

sc_upv_{access scenario}_{ba or county}.csv: Available capacity [MW] associated with each class/region capacity factor profile



Capacity factor profiles are saved as hierarchical Data Format (HDF5) files. The following Python function can be used to read a capacity factor .h5 file into a pandas dataframe:

 





import h5py

import pandas as pd


def read_cf_profile(filepath):

    """

    Read a CF profile from `filepath` and return a pandas dataframe.


    Usage:

    `df = read_profile('/path/to/filename.h5')`

    """

    encoding = 'utf-8'

    with h5py.File(filepath, 'r') as f:

        df = pd.DataFrame(

            f['data'][:],

            columns=pd.Series(f['columns']).str.decode(encoding),

            index=f['index_0'],

        )

        df.index = pd.to_datetime(

            pd.Series(df.index, name='datetime').str.decode(encoding)

        )


   return df
DOI: 10.15468/dl.ra9zuv
title: Occurrence Download

description: A dataset containing 934 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is one of (South America, Europe, North America, Africa, Asia)",
 "TaxonKey is one of (Hadrosciurus, Sciurus igniventris igniventris, Sciurus igniventris)"
 ]
}

 The dataset includes 934 records from 54 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002716-260226173443078/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.29w2uj
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "Country is Poland",
 "TaxonKey is Tephritis postica"
 ]
}

 The dataset includes 5 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002717-260226173443078/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nufhkk
title: Occurrence Download

description: A dataset containing 406 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Erisma uncinatum",
 "Year 2005-2026"
 ]
}

 The dataset includes 406 records from 53 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002718-260226173443078/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/lachs-c76-1161
title: LACHS newsletter, v. [32], n. 3 (2011-08)

description: Los Angeles City Historical Society newsletter, vol. 44 [sic, i.e. 32], no. 3 (2011 August).
DOI: 10.15468/dl.t2r9tf
title: Occurrence Download

description: A dataset containing 598 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Herpailurus yagouaroundi"
 ]
}

 The dataset includes 598 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002719-260226173443078/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/lachs-c76-1162
title: LACHS newsletter, v. [32], n. 3 (2011-08)

description: Los Angeles City Historical Society newsletter, vol. 44 [sic, i.e. 32], no. 3 (2011 August).
DOI: 10.25549/lachs-c76-1165
title: LACHS newsletter, v. [32], n. 3 (2011-08)

description: Los Angeles City Historical Society newsletter, vol. 44 [sic, i.e. 32], no. 3 (2011 August).
DOI: 10.25549/lachs-c76-1166
title: LACHS newsletter, v. [32], n. 3 (2011-08)

description: Los Angeles City Historical Society newsletter, vol. 44 [sic, i.e. 32], no. 3 (2011 August).
DOI: 10.25549/lachs-c76-1178
title: LACHS newsletter, v. [32], n. [4] (2011-11)

description: Los Angeles City Historical Society newsletter, vol. [44] [sic, i.e. 32], no. [4] (2011 November).
DOI: 10.25549/lachs-c76-1409
title: LACHS newsletter, v. [36], n. 3 (2015 Fall)

description: Los Angeles City Historical Society newsletter, vol. 48 [sic, i.e. 36], no. 3 (2015 Fall).
DOI: 10.25549/lachs-c76-1379
title: LACHS newsletter, v. [36], n. 2 (2015 Sum)

description: Los Angeles City Historical Society newsletter, vol. 48 [sic, i.e. 36], no. 2 (2015 Summer).
DOI: 10.25549/lachs-c76-1389
title: LACHS newsletter, v. [36], n. 2 (2015 Sum)

description: Los Angeles City Historical Society newsletter, vol. 48 [sic, i.e. 36], no. 2 (2015 Summer).
DOI: 10.25549/lachs-c76-1390
title: LACHS newsletter, v. [36], n. 2 (2015 Sum)

description: Los Angeles City Historical Society newsletter, vol. 48 [sic, i.e. 36], no. 2 (2015 Summer).
DOI: 10.25549/lachs-c76-1391
title: LACHS newsletter, v. [36], n. 2 (2015 Sum)

description: Los Angeles City Historical Society newsletter, vol. 48 [sic, i.e. 36], no. 2 (2015 Summer).
DOI: 10.15468/5mmu39
title: A commented checklist and key for the genus Carex (Cyperaceae) in Peru

description: This dataset contains the digitized treatments in Plazi based on the original journal article Jiménez-Mejías, Pedro, García-Moro, Pablo, Camilo, Andrea A., Mazzei, Piero M., Escudero, Marcial, Martín-Bravo, Santiago, Cano, Asunción (2026): A commented checklist and key for the genus Carex (Cyperaceae) in Peru. PhytoKeys 271: 93-144, DOI: 10.3897/phytokeys.271.178418AbstractCarex is one of the most species-rich genera of vascular plants worldwide and it is a dominant element in cold and temperate regions. However, its diversity in South America is still less understood than in other areas of the World. In Peru, the genus is a key component of high Andean grasslands and wetlands, yet the last comprehensive taxonomic treatment dates back to 1936 when only 18 species were recognised. Subsequent checklists increased the number to 25, but current estimates remained incomplete and largely based on outdated identifications. Here, we present a taxonomic update of Carex in Peru, based on extensive fieldwork, herbarium studies across major Peruvian and international collections, literature review and complementary records from citizen-science platforms. Our study documents 56 species, including six strict endemics and three subendemics, with Cajamarca emerging as the richest Department (29 species). Four species are here confirmed for Peru for the first time. We provide an identification key in English and Spanish and updated distribution maps for all species, as well as a preliminary conservation assessment for 24 rare or endemic taxa using IUCN Criteria. Despite its ecological relevance, Carex remains understudied in Peru, with many species overlooked due to collecting biases, inconspicuous morphology and geographic barriers. Our findings call for integrative taxonomic, ecological and conservation studies to improve the knowledge on Andean Carex and secure their long-term preservation under accelerating climate change.
DOI: 10.15468/dl.7qff7z
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Atheris mongoensis"
 ]
}

 The dataset includes 6 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002721-260226173443078/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48580/dgwrh.v3
title: A commented checklist and key for the genus Carex (Cyperaceae) in Peru
DOI: 10.15468/dl.jzaj68
title: Occurrence Download

description: A dataset containing 22819 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Mexico",
 "DatasetKey is one of (The New York Botanical Garden Herbarium (NY), Digitalización y Sistematización de las Colecciones Biológicas Nacionales del Instituto de Biología, UNAM (Plantas vasculares), Computarización del Herbario ENCB. Fase II. Base de datos de los ejemplares de la familia Burseraceae y Nyctaginaceae y base de datos digitalizada de los ejemplares tipo de plantas vasculares del Herbario de la Escuela Nacional de Ciencias Biológicas, IPN, Etapa final de la captura y catalogación del Herbario del Instituto de Ecología, A.C., Centro Regional del Bajío, Digitalización y sistematización de las colecciones biológicas del INECOL (Herbario), Digitalización y sistematización de las colecciones biológicas del INECOL (Herbario), Tropicos MO Specimen Data, El género Bursera en México. Parte II, Catálogo electrónico de especímenes depositados en el Herbario de la Universidad de Texas en Austin, Fase IV (Ejemplaresimagenes), Royal Botanic Gardens, Kew - Herbarium Specimens, Tropicos Specimens Non-MO)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Bursera"
 ]
}

 The dataset includes 22819 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002722-260226173443078/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yu88fv
title: Occurrence Download

description: A dataset containing 1829 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Inventory and monitoring of a protected species in a show cave of Terceira Island - Algar do Carvão"
 ]
}

 The dataset includes 1829 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002723-260226173443078/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25921/022n-nd48
title: Gulf of Alaska images of corals, sponges, and fishes from the 2019 Midwater Assessment and Conservation Engineering Program Survey (NCEI Accession 0305766)

description: Collected during the biennial Alaska Fisheries Science Center's (AFSC) Gulf of Alaska (GOA) bottom trawl survey, this image data set was used for deep sea coral and sponge identification and annotation. Each transect was 15 minutes long with a vessel speed close to 1 knot. The lowered stereo camera system (LSC) was kept within 1 m of the bottom during the transect. The start of each transect was haphazardly chosen. Most transects took place at night. The LSC system consisted of two parallel-mounted machine-vision cameras spaced approximately 30 cm apart in underwater housings connected via ethernet cables to a computer in a separate underwater housing enclosed in a protective aluminum cage. A monochromatic/color camera pair was used with image resolution. The monochromatic camera (Point Grey, BFLY-PGE_50S5M) collected images at 5.01 megapixels, and the color camera (Point Grey, BFLY-PGE_50S5C) collected images at 5.01 megapixels. Four high intensity strobe LED illuminators provided lighting and were activated at the surface when the camera unit entered the water and deactivated at the end of the deployment when the unit returned to a depth of approximately 10 m. Each strobe was constructed of two Cree CXB3590 arrays capable of producing 25,000 lumens at 200 W. Synchronous images were recorded at a frequency of one image per second. Images for each transect are organized into folders with a Haul number and the images from the two cameras on the tow sled are in their own respective folders. Annotations are not included in the current data package.
DOI: 10.15468/dl.3h4qws
title: Occurrence Download

description: A dataset containing 19823 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Vochysiaceae",
 "Year 2005-2026"
 ]
}

 The dataset includes 19823 records from 399 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002724-260226173443078/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5258/soton/d3765
title: Gen AI assisted children's climate action stories

description: Project developed by Dr Bindi Shah, Dr Chiying Lam, Dr Nguyen Tan Viet Tuyen, Dr Gyanendro Loitongbam as part of Interdiscplinary Sandpit Award Round 4
co-written by students from St George Catholic College and Kanes Hill Primary School, in collaboration with Gen AI
DOI: 10.15468/dl.yym9me
title: Occurrence Download

description: A dataset containing 1928938 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Observation, Occurrence evidence, Living Specimen)",
 "Continent is Europe",
 "OccurrenceStatus is Present",
 "TaxonKey is Tettigoniidae",
 "Year 1970-2026"
 ]
}

 The dataset includes 1928938 records from 4065 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002696-260226173443078/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ng6zkk
title: Occurrence Download

description: A dataset containing 130432 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is Erica arborea L.",
 "Continent is Europe",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is Human Observation"
 ]
}

 The dataset includes 130432 records from 242 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010202-251009101135966/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.29713181
title: Developing an English Language Textbook Evaluative Checklist

description: In the selection of a new textbook, it is important to evaluate to ensure that it is suitable. Evaluation is widely acknowledged as a powerful means of improving the quality of education. Three methods of evaluation can be used for evaluating English Language Teaching (ELT) textbooks. An evaluative checklist is one of these methods that can be used to help select the most appropriate ELT textbooks for their learners. This paper presents an overall view of evaluating an ELT textbook with a focus on the instrument of a checklist. It tried to develop a valid, reliable, and practical checklist. The paper refined checklists previously developed by different researchers. More specifically, the comments and suggestions given by a large number of TEFL professors helped the researcher improve the items of the checklist in reference to their clarity and inclusiveness. They were provided with a copy of the checklist. They were free to reword, delete or add items that they considered necessary. The findings are expected to be useful for English language teachers, ELT material developers and evaluators, as well as curriculum developers. Further study is required to improve the instrument.
DOI: 10.6084/m9.figshare.29713181.v1
title: Developing an English Language Textbook Evaluative Checklist

description: In the selection of a new textbook, it is important to evaluate to ensure that it is suitable. Evaluation is widely acknowledged as a powerful means of improving the quality of education. Three methods of evaluation can be used for evaluating English Language Teaching (ELT) textbooks. An evaluative checklist is one of these methods that can be used to help select the most appropriate ELT textbooks for their learners. This paper presents an overall view of evaluating an ELT textbook with a focus on the instrument of a checklist. It tried to develop a valid, reliable, and practical checklist. The paper refined checklists previously developed by different researchers. More specifically, the comments and suggestions given by a large number of TEFL professors helped the researcher improve the items of the checklist in reference to their clarity and inclusiveness. They were provided with a copy of the checklist. They were free to reword, delete or add items that they considered necessary. The findings are expected to be useful for English language teachers, ELT material developers and evaluators, as well as curriculum developers. Further study is required to improve the instrument.
DOI: 10.15468/dl.cjbkbf
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0079022-250717081556266/datasets/export for details.
DOI: 10.15468/dl.66ssum
title: Occurrence Download

description: A dataset containing 27217 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is one of (Germany, Italy, Spain, Portugal, Switzerland, Liechtenstein, France, Belgium, Luxembourg, Andorra, Monaco, San Marino, Netherlands, Denmark, Gibraltar, Malta)",
 "OccurrenceStatus is Present",
 "TaxonKey is Aedes albopictus"
 ]
}

 The dataset includes 27217 records from 114 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006467-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1663305.10fu
title: SH1663305.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1663309.10fu
title: SH1663309.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1663314.10fu
title: SH1663314.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1663326.10fu
title: SH1663326.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.