cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/e141121v3-158681
title: Historic Redlining Indicator for 2000, 2010, and 2020 US Census Tracts

description: The Home Owners’ Loan Corporation (HOLC) was a U.S. federal agency
that graded mortgage investment risk of neighborhoods across the U.S. between
1935 and 1940. HOLC residential security maps standardized neighborhood risk appraisal
methods that included race and ethnicity, pioneering the institutional logic of
residential “redlining.”
The Mapping Inequality Project digitized the HOLC mortgage
security risk maps from the 1930s. We overlaid the HOLC maps with 2010 and 2020 census tracts for 142
cities across the U.S. using ArcGIS and determined the proportion of HOLC
residential security grades contained within the boundaries. We assigned a numerical value to each HOLC risk category as
follows: 1 for “A” grade, 2 for “B” grade, 3 for “C” grade, and 4 for “D”
grade. We calculated a historic redlining score from the summed proportion of
HOLC residential security grades multiplied by a weighting factor based on area
within each census tract. A higher score means greater redlining of the census
tract. Continuous historic redlining score, assessing the degree of
“redlining,” as well as 4 equal interval divisions of redlining, can
be linked to existing data sources by census tract identifier allowing for one
form of structural racism in the housing market to be assessed with a variety
of outcomes. The 2010 files are set to census 2010 tract boundaries. The 2020 files use the new census 2020 tract boundaries, reflecting the increase in the number of tracts from 12,888 in 2010, to 13,488 in 2020. Use the 2010 HRI with decennial census 2010 or ACS 2010-2019 data. As of publication (10/15/2020) decennial census 2020 data for the P1 (population) and H1 (housing) files are available from census. Updated (8/9/2023) - The Historic Redlining Score has been renamed the Historic Redlining Indicator or HRI. The HRI has also been calculated for Census 2000 boundaries.
description: Smallest Geographic Unit: census tract
DOI: 10.25810/2312-c962
title: FIRED Montenegro Nov 2000 - July 2024

description: This is event-level polygons for the fire event delineation (FIRED) product for MONTENEGRO from November 2000 to July 2024. It is derived from the MODIS MCD64A1 burned area product (see https://lpdaac.usgs.gov/products/mcd64a1v061/ for more details). The MCD64A1 is a monthly raster grid of estimated burned dates. Firedpy (https://github.com/earthlab/firedpy) is an algorithm that converts these rasters into events by stacking the entire time series into a spatial-temporal data cube, then uses an algorithm to assign event identification numbers to pixels that fit into the same 3-dimensional spatial temporal window. This particular dataset was created using a spatial parameter of 1 pixels and 5 days. Daily polygons are included and the event identification numbers are the same for both files, but the event-level product has only single polygons for each entire event, while the daily product has separate polygons for each date per event. See the associated paper for more details on the methods and more:

Balch, J.K.; St. Denis, L.A.; Mahood, A.L.; Mietkiewicz, N.P.; Williams, T.M.; McGlinchy, J.; Cook, M.C. FIRED (Fire Events Delineation): An Open, Flexible Algorithm and Database of US Fire Events Derived from the MODIS Burned Area Product (2001–2019). Remote Sens. 2020, 12, 3498. https://doi.org/10.3390/rs12213498
DOI: 10.15468/dl.ssw6xd
title: Occurrence Download

description: A dataset containing 3397 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Brycon henni Eigenmann, 1913"
 ]
}

 The dataset includes 3397 records from 51 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011023-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vnxm6y
title: Occurrence Download

description: A dataset containing 70781 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Amazilia rutila (Delattre, 1843)"
 ]
}

 The dataset includes 70781 records from 71 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011024-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qzvj66
title: Occurrence Download

description: A dataset containing 2116 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is SANBI: Rare and Threatened Plants (Cape Floristic Region, 1864-2008)"
 ]
}

 The dataset includes 2116 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011025-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57703/ce-buz3k
title: Iridium smooth sample Ra = 9 nm

description: Iridium sample of Ra = 9 nm shown in Fig. S6 (a) of manuscript

"Unravelling the Effect of Friction on Electrochemical Oxidation of Iridium",
Chenxu Liu, Johannes L. Hörmann, Haoren Pan, Xingxing Chen, Hantao Xu, Dongping Zhan, Hongbo Zeng, Yu Tian, Yonggang Meng
DOI: 10.15468/dl.v3mykw
title: Occurrence Download

description: A dataset containing 613 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Amazilia rutila rutila"
 ]
}

 The dataset includes 613 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011027-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14060095
title: Halbarath/Survey_Moon_Meier_2024: Zenodo release

description: This repository contains the analysis results of the data set used in the publication Meier et. al., 2024 and an example jupyter notebook to generate plots from the data.
DOI: 10.5281/zenodo.14060096
title: Halbarath/Survey_Moon_Meier_2024: Zenodo release

description: This repository contains the analysis results of the data set used in the publication Meier et. al., 2024 and an example jupyter notebook to generate plots from the data.
DOI: 10.5281/zenodo.14105763
title: Light intensity and spectrum interactively affect nutritional constraints between phytoplankton and zooplankton
title: Impact of nutrient supply, light intensity, and light spectrum on phytoplankton stoichiometry, fatty acid content, and zooplankton

description: Phytoplankton is highly sensitive to both the quantity (intensity) and quality (spectrum) of available light, due to a large range of light-absorbing pigments. While light is considered as a main driver for trophic energy transfer, focus has been primarily on the intensity of light. This study investigated the role of different light spectra on the community structure and biochemical composition of natural phytoplankton. We found that light spectrum affects the species composition and biochemistry of phytoplankton communities with these effects being highly dependent on light intensity and nutrients. Additionally, we tested for potential nutritional constraints for the zooplankton species Daphnia pulex in response to changes in the phytoplankton community and found different growth responses of D. pulex as a result of limitations in available phosphorus and fatty acids. We conclude that, beyond nutrients and light intensity, also the light spectrum influences plankton dynamics and trophic transfer in aquatic systems.
DOI: 10.15468/dl.5whuk5
title: Occurrence Download

description: A dataset containing 27 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Machine Observation, Observation, Occurrence evidence)",
 "OccurrenceStatus is Present",
 "TaxonKey is Cyclemys gemeli Fritz, Guicking, Auer, Sommer, Wink & Hundsdörfer, 2008"
 ]
}

 The dataset includes 27 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011031-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vx4m2t
title: Occurrence Download

description: A dataset containing 50185 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Chondrohierax uncinatus (Temminck, 1822)"
 ]
}

 The dataset includes 50185 records from 139 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011029-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xpnsqv
title: Occurrence Download

description: A dataset containing 198 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Chondrohierax uncinatus uncinatus"
 ]
}

 The dataset includes 198 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011032-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.greq6h
title: Occurrence Download

description: A dataset listing the 113593 species recorded in GBIF matching the query:
{
 "and" : [
 "Month is May",
 "Year 2024-2024"
 ]
}

 The dataset's 113593 records were derived from 541 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011026-241107131044228/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.27679950
title: PITG_13520 and PITG_04949 raw qPCR data

description: Quantitative real-time PCR data outputs from <i>Phytophthora infestans </i>isolate FL-02 on Kennebec potato plants across four infection timepoints. Data was recorded for the reference gene Kelch and two experimental genes PITG_04949 and PITG_13520.
DOI: 10.6084/m9.figshare.27679950.v1
title: PITG_13520 and PITG_04949 raw qPCR data

description: Quantitative real-time PCR data outputs from <i>Phytophthora infestans </i>isolate FL-02 on Kennebec potato plants across four infection timepoints. Data was recorded for the reference gene Kelch and two experimental genes PITG_04949 and PITG_13520.
DOI: 10.6073/pasta/54be7e2aa8437e103f430586e09f240a
title: Lake Tahoe Historic Secchi depth

description: Historic Secchi depth (Water clarity) measurement of Lake Tahoe, CA/NV. There are two sampling stations Index (LTP, 39.0972 -120.155) and Mid-lake (MLTP, 39.1417 -120.0153
 ). Observation at Index station started on 1967-07-28, and averaged sampling interval is around 14 days. Mid-lake station sampling has been started on 1980-04-29, and taken at approximately 33 days interval.
 
 See methods for details.
DOI: 10.34770/khgt-vv93
title: Data repository for "Toward electron temperature profiles in hot-dense plasmas from x-ray spectral ensembles"

description: This repository contains data required to reproduce the figures of a
 Physics of Plasmas publication about ensemble analysis of x-ray spectra
 from micro-stripe laser targets.
DOI: 10.5281/zenodo.13907755
title: A left-to-right bias in number-space mapping across ages and cultures

description: Datasets and scripts related to the paper 'A universal left-to-right bias in number-space mapping across ages and cultures' 

Below is a description of the elements contained in each folder.

CodeThis folder contains all the scripts used to perform the analyses reported in the paper. It also includes the script used to run the numerosity comparison experiment (please notice it does not run as a stand-alone file, it is just for example purposes)

Data:This folder includes all the necessary to replicate the analyses cited in the manuscript. Both aggregated and individual raw files are available.  Specifically within this folder, you'll find:



subfolder with individual raw data for the numerosity comparison task for each population

CSV file with aggregate percentage of card configuration shape (used for chi-square analysis for experiment 1)

CSV file with the individual cards correlation score (used for testing distribution against chance level for experiment 1)

CSV file with individual Inverse Efficiency Scores for all participants (used for Mixed Model Analysis)

CSV file with the Congruency Effect already computed for each participant (used in the ANOVA analysis for experiment 2)

CSV file with the combined datasets (used to test the correlation between experiment 1 and experiment 2 measures)

CSV files with participants' anonymized information (.e.g. age, gender, literacy level)


JASPThis folder contains all the output files from the JASP software used to compute Bayesian analysis supporting the null results.
DOI: 10.5281/zenodo.13907756
title: A universal left-to-right bias in number-space mapping across ages and cultures

description: Datasets and scripts related to the paper 'A universal left-to-right bias in number-space mapping across ages and cultures' 

Below is a description of the elements contained in each folder.

CodeThis folder contains all the scripts used to perform the analyses reported in the paper. It also includes the script used to run the numerosity comparison experiment (please notice it does not run as a stand-alone file, it is just for example purposes)

Data:This folder includes all the necessary to replicate the analyses cited in the manuscript. Both aggregated and individual raw files are available.  Specifically within this folder, you'll find:



subfolder with individual raw data for the numerosity comparison task for each population

CSV file with aggregate percentage of card configuration shape (used for chi-square analysis for experiment 1)

CSV file with the individual cards correlation score (used for testing distribution against chance level for experiment 1)

CSV file with individual Inverse Efficiency Scores for all participants (used for Mixed Model Analysis)

CSV file with the Congruency Effect already computed for each participant (used in the ANOVA analysis for experiment 2)

CSV file with the combined datasets (used to test the correlation between experiment 1 and experiment 2 measures)

CSV files with Himbas' information to access literacy level


JASPThis folder contains all the output files from the JASP software used to compute Bayesian analysis supporting the null results.
DOI: 10.5281/zenodo.13913505
title: A left-to-right bias in number-space mapping across ages and cultures

description: Datasets and scripts related to the paper 'A universal left-to-right bias in number-space mapping across ages and cultures' 

Below is a description of the elements contained in each folder.

CodeThis folder contains all the scripts used to perform the analyses reported in the paper. It also includes the script used to run the numerosity comparison experiment (please notice it does not run as a stand-alone file, it is just for example purposes)

Data:This folder includes all the necessary to replicate the analyses cited in the manuscript. Both aggregated and individual raw files are available.  Specifically within this folder, you'll find:



subfolder with individual raw data for the numerosity comparison task for each population

CSV file with aggregate percentage of card configuration shape (used for chi-square analysis for experiment 1)

CSV file with the individual cards correlation score (used for testing distribution against chance level for experiment 1)

CSV file with individual Inverse Efficiency Scores for all participants (used for Mixed Model Analysis)

CSV file with the Congruency Effect already computed for each participant (used in the ANOVA analysis for experiment 2)

CSV file with the combined datasets (used to test the correlation between experiment 1 and experiment 2 measures)

CSV files with participants' anonymized information (.e.g. age, gender, literacy level)


JASPThis folder contains all the output files from the JASP software used to compute Bayesian analysis supporting the null results.
DOI: 10.15156/bio/sh0182801.10fu
title: SH0182801.10FU

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/sh0182802.10fu
title: SH0182802.10FU

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/sh0182803.10fu
title: SH0182803.10FU

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/sh0182804.10fu
title: SH0182804.10FU

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/sh0182805.10fu
title: SH0182805.10FU

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/sh0182806.10fu
title: SH0182806.10FU

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/sh0182807.10fu
title: SH0182807.10FU

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.