cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5061/dryad.8906j
title: Data from: Paternal care: direct and indirect genetic effects of fathers on offspring performance

description: Knowledge of how genetic effects arising from parental care influence the
 evolution of offspring traits comes almost exclusively from studies of
 maternal care. However, males provide care in some taxa, and often this
 care differs from females in quality or quantity. If variation in paternal
 care is genetically based then, like maternal care and maternal effects,
 paternal effects may have important consequences for the evolution of
 offspring traits via indirect genetic effects (IGEs). IGEs and
 direct-indirect genetic covariances associated with parental care can
 contribute substantially to total heritability and influence predictions
 about how traits respond to selection. It is unknown, however, if the
 magnitude and sign of parental effects arising from fathers are the same
 as those arising from mothers. We used a reciprocal cross-fostering
 experiment to quantify environmental and genetic effects of paternal care
 on offspring performance in the burying beetle, Nicrophorus vespilloides.
 We found that IGEs were substantial and direct-indirect genetic
 covariances negative. Combined, these patterns led to low total
 heritabilities for offspring performance traits. Thus, under paternal
 care, offspring performance traits are unlikely to evolve in response to
 selection and, variation in these traits will be maintained in the
 population despite potentially strong selection on these traits. These
 patterns are similar to those generated by maternal care, indicating that
 the genetic effects of care on offspring performance are independent of
 the caregiver’s sex.
description: Head et al_Paternal
 Effects Data
DOI: 10.5061/dryad.79gk4
title: Data from: The relative influence of habitat amount and configuration on genetic structure across multiple spatial scales

description: Despite strong interest in understanding how habitat spatial structure
 shapes the genetics of populations, the relative importance of habitat
 amount and configuration for patterns of genetic differentiation remains
 largely unexplored in empirical systems. In this study, we evaluate the
 relative influence of, and interactions among, the amount of habitat and
 aspects of its spatial configuration on genetic differentiation in the
 pitcher plant midge, Metriocnemus knabi. Larvae of this species are found
 exclusively within the water-filled leaves of pitcher plants (Sarracenia
 purpurea) in a system that is naturally patchy at multiple spatial scales
 (i.e., leaf, plant, cluster, peatland). Using generalized linear mixed
 models and multimodel inference, we estimated effects of the amount of
 habitat, patch size, interpatch distance, and patch isolation, measured at
 different spatial scales, on genetic differentiation (FST) among larval
 samples from leaves within plants, plants within clusters, and clusters
 within peatlands. Among leaves and plants, genetic differentiation appears
 to be driven by female oviposition behaviors and is influenced by habitat
 isolation at a broad (peatland) scale. Among clusters, gene flow is
 spatially restricted and aspects of both the amount of habitat and
 configuration at the focal scale are important, as is their interaction.
 Our results suggest that both habitat amount and configuration can be
 important determinants of genetic structure and that their relative
 influence is scale dependent.
description: Metriocnemus knabi
 microsatellite data10 loci, GenalEx
 formatmk_genotypes.csv
DOI: 10.5061/dryad.11340t4
title: Data from: Graphs in phylogenetic comparative analysis: Anscombe’s quartet revisited

description: 1. In 1973 the statistician Francis Anscombe used a clever set of
 bivariate datasets (now known as Anscombe’s quartet) to illustrate the
 importance of graphing data as a component of statistical analyses. In his
 example, each of the four datasets yielded identical regression
 coefficients and model fits, and yet when visualized revealed strikingly
 different patterns of covariation between x and y. 2. Phylogenetic
 comparative methods are statistical methods too, yet visualizing the data
 and phylogeny in a sensible way that would permit us to detect unexpected
 patterns or unanticipated deviations from model assumptions is not a
 routine component of phylogenetic comparative analyses. 3. Here, we use a
 quartet of phylogenetic datasets to illustrate that the same estimated
 parameters and model fits can be obtained from data that were generated
 using markedly different procedures – including pure Brownian motion
 evolution and randomly selected data uncorrelated with the tree. Just as
 in the case of Anscombe’s quartet, when graphed the differences between
 the four datasets are quickly revealed. 4. The intent of this article is
 to help build the general case that phylogenetic comparative methods are
 statistical methods and consequently that graphing or visualization should
 invariably be included as an essential step in our standard data
 analytical pipelines. 5. Phylogenies are complex data structures and thus
 visualizing data on trees in a meaningful and useful way is a challenging
 endeavor. We recommend that the development of graphical methods for
 simultaneously visualizing data and tree should continue to be an
 important goal in phylogenetic comparative biology.
description: R markdown file
 containing the fully reproducible workflow of the study.Revell-etal-2018-MEE.RmdBuilt reproducible workflow containing all analyses of the study including (low quality versions of) all figures & tables.Revell-etal-2018-MEE.html
DOI: 10.15468/dl.fchvwz
title: Occurrence Download

description: A dataset containing 10948 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sageretia"
 ]
}

 The dataset includes 10948 records from 313 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000846-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tbm2qc
title: Occurrence Download

description: A dataset containing 31 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-91.68089092481739 -0.265255597216838,-90.85677807138484 -0.265255597216838,-90.85677807138484 0.5588572562157146,-91.68089092481739 0.5588572562157146,-91.68089092481739 -0.265255597216838))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Hippocampus ingens Girard, 1858"
 ]
}

 The dataset includes 31 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010497-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nfpkde
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Xenodermichthys copei (Gill, 1884)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((26.6413 -34.1504,26.9648 -34.0826,26.9648 -25.1504,17.9648 -25.1504,17.9648 -34.1504,26.6413 -34.1504))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010498-250525065834625/datasets/export for details.
DOI: 10.3886/e231547
title: Replication data for: Rational Inattention in Hiring Decisions

description: We provide an information-based theory of matching efficiency fluctuations. Rationally inattentive firms have limited capacity to process information and cannot perfectly identify suitable applicants. During recessions, higher losses from hiring unsuitable workers cause firms to be more selective in hiring. When firms cannot obtain sufficient information about applicants, they err on the side of caution and accept fewer applicants to minimize losses from hiring unsuitable workers. Pro-cyclical acceptance rates drive a wedge between meeting and hiring rates, explaining fluctuations in matching efficiency. Quantitatively, our model replicates the joint behavior of unemployment rates and matching efficiency observed since the Great Recession.
DOI: 10.3886/e231547v1
title: Replication data for: Rational Inattention in Hiring Decisions

description: We provide an information-based theory of matching efficiency fluctuations. Rationally inattentive firms have limited capacity to process information and cannot perfectly identify suitable applicants. During recessions, higher losses from hiring unsuitable workers cause firms to be more selective in hiring. When firms cannot obtain sufficient information about applicants, they err on the side of caution and accept fewer applicants to minimize losses from hiring unsuitable workers. Pro-cyclical acceptance rates drive a wedge between meeting and hiring rates, explaining fluctuations in matching efficiency. Quantitatively, our model replicates the joint behavior of unemployment rates and matching efficiency observed since the Great Recession.
DOI: 10.15468/dl.aqahpb
title: Occurrence Download

description: A dataset containing 931 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "NetworkKey is 99d66b6c-9087-452f-a9d4-f15f2c2d0e7e",
 "TaxonKey is Chordata"
 ]
 },
 "TaxonKey is one of (Tremarctos ornatus [GBIF Backbone Taxonomy])"
 ]
}

 The dataset includes 931 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000997-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5061/dryad.sj3tx96js
title: Analysis of DNA sequence data shows that the African members of <em>Stomatanthes</em> should be merged with <em>Eupatorium</em>

description: Analysis of DNA sequence data from the nuclear ribosomal ITS and ETS
 regions and the plastid spacer trnH-psbA showed that African species of
 Stomatanthes nested within the widely distributed Eupatorium (North
 America, Europe, Asia should be included within it.  A survey of
 ITS sequences from herbarium specimens of Stomatanthes from Africa
 confirmed their monophyly and showed some variability that did not
 correlate with current species boundaries.
description: # Analysis of DNA sequence data shows that the African members of
 *Stomatanthes* should be merged with *Eupatorium* Dataset DOI:
 [10.5061/dryad.sj3tx96js](https://doi.org/10.5061/dryad.sj3tx96js) ##
 Description of the data and file structure DNA sequences for Stomatanthes
 samples were produced by Sanger sequencing from DNA samples collected from
 herbarium specimens.  The nuclear ribosomal ITS, ETS, and plastid
 trnH-psbA spacer regions were sequenced.  Phylogenomic analysis to show
 sample relationships to other members of Eupatorieae was done using
 programs in the Geneious and Beast software packages.  ### Files and
 variables #### File: Stomatanthes_3gene_Taxon_paper.fas
 **Description:** an aligned set of data for all 3 gene regions in .fas
 format, with positions 1-459 nrDNA ETS region; 460-1151 nrDNA ITS, and
 1152-1653 plastid trnH-psbA spacer.  Samples are listed by
DOI: 10.15468/dl.m4hkzv
title: Occurrence Download

description: A dataset containing 37182 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Belgium",
 "TaxonKey is one of (Crassula helmsii, Lithobates catesbeianus, Misgurnus mohoity, Myriophyllum aquaticum, Procambarus clarkii, Procambarus virginalis, Xenopus laevis, Zizania latifolia)",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 37182 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000999-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17765754
title: Extended Large-Scale Semantic Change Detection (LsSCD-Ex) dataset

description: LsSCD-Ex comprises remote sensing images captured in September 2013 and August 2015, with a spatial resolution of 0.6 m and a total size of 48,000 × 32,500 pixels (approximately 471 km²) in Nanjing city, China.





Its semantic classification system aligns with OpenEarthMap, encompassing eight categories: bare land, rangeland, developed space, road, tree, water, agriculture, and building.




The number of annotated image pairs (2048 × 2048 pixels) is 100, including 70 for training and 30 for testing, with no spatial overlap between sets to ensure reliable evaluation.



All images were labeled by professional remote sensing experts using QGIS geospatial software. The dataset captures complex urban-rural land-cover transitions and severe atmospheric style differences, providing a challenging benchmark for change detection.

 

256.zip, 512.zip, and 2048.zip represent datasets of different patch sizes, obtained by cropping the original images using non-overlapping sliding windows

Citation:

@article{tang2026dreamcd,  title   = {DreamCD: A Change-Label-Free Framework for Change Detection via a Weakly Conditional Semantic Diffusion Model in Optical VHR Imagery},  author  = {Tang, Kai and Zheng, Zhuo and Chen, Hongruixuan and Chen, Xuehong and Chen, Jin},  journal = {International Journal of Applied Earth Observation and Geoinformation},  volume  = {146},  pages   = {105125},  year    = {2026},  issn    = {1569-8432},  doi     = {10.1016/j.jag.2026.105125},}

1. Dataset Splits





train — Training samples




test — Testing samples



2. Folder Structure

Patch Scale Folders: 256, 512, 2048





These folders represent different patch sizes.




512 patches are cropped from the 2048 patches using non-overlapping sliding windows.




256 patches are generated using the same method.




Inside each scale folder:





2013 — Pre-event imagery




2015 — Post-event imagery




bcd — Binary change masks (0 = no change, 255 = change)




images — Image files




semantic_masks — Semantic labels (integer encoded)




semantic_masks_rgb — Semantic labels in RGB format





3. Geolocation Information





The shpfile folder contains geolocation.shp, which provides the geographic locations of the image patches.




The shapefile can be opened with standard GIS software.



4. Semantic Classes

Integer-encoded semantic labels (semantic_masks):





0: Bare land




1: Rangeland




2: Developed space




3: Road




4: Tree




5: Water




6: Agriculture land




7: Building



RGB-format semantic labels (semantic_masks_rgb):





Bare land: [128, 0, 0]




Rangeland: [0, 255, 36]




Developed space: [148, 148, 148]




Road: [255, 255, 255]




Tree: [34, 97, 38]




Water: [0, 69, 255]




Agriculture land: [75, 181, 73]




Building: [222, 31, 7]



5. License:

Use of the dataset must respect the "Google Earth" terms of use. All images and their associated annotations in LsSCD-Ex can be used for academic purposes only, but any commercial use is prohibited. (CC BY-NC-SA 4.0)
DOI: 10.5281/zenodo.17765755
title: Extended Large-Scale Semantic Change Detection (LsSCD-Ex) dataset

description: LsSCD-Ex comprises remote sensing images captured in September 2013 and August 2015, with a spatial resolution of 0.6 m and a total size of 48,000 × 32,500 pixels (approximately 471 km²) in Nanjing city, China.





Its semantic classification system aligns with OpenEarthMap, encompassing eight categories: bare land, rangeland, developed space, road, tree, water, agriculture, and building.




The number of annotated image pairs (2048 × 2048 pixels) is 100, including 70 for training and 30 for testing, with no spatial overlap between sets to ensure reliable evaluation.



All images were labeled by professional remote sensing experts using QGIS geospatial software. The dataset captures complex urban-rural land-cover transitions and severe atmospheric style differences, providing a challenging benchmark for change detection.

 

256.zip, 512.zip, and 2048.zip represent datasets of different patch sizes, obtained by cropping the original images using non-overlapping sliding windows

Citation:

@article{tang2026dreamcd,  title   = {DreamCD: A Change-Label-Free Framework for Change Detection via a Weakly Conditional Semantic Diffusion Model in Optical VHR Imagery},  author  = {Tang, Kai and Zheng, Zhuo and Chen, Hongruixuan and Chen, Xuehong and Chen, Jin},  journal = {International Journal of Applied Earth Observation and Geoinformation},  volume  = {146},  pages   = {105125},  year    = {2026},  issn    = {1569-8432},  doi     = {10.1016/j.jag.2026.105125},}

1. Dataset Splits





train — Training samples




test — Testing samples



2. Folder Structure

Patch Scale Folders: 256, 512, 2048





These folders represent different patch sizes.




512 patches are cropped from the 2048 patches using non-overlapping sliding windows.




256 patches are generated using the same method.




Inside each scale folder:





2013 — Pre-event imagery




2015 — Post-event imagery




bcd — Binary change masks (0 = no change, 255 = change)




images — Image files




semantic_masks — Semantic labels (integer encoded)




semantic_masks_rgb — Semantic labels in RGB format





3. Geolocation Information





The shpfile folder contains geolocation.shp, which provides the geographic locations of the image patches.




The shapefile can be opened with standard GIS software.



4. Semantic Classes

Integer-encoded semantic labels (semantic_masks):





0: Bare land




1: Rangeland




2: Developed space




3: Road




4: Tree




5: Water




6: Agriculture land




7: Building



RGB-format semantic labels (semantic_masks_rgb):





Bare land: [128, 0, 0]




Rangeland: [0, 255, 36]




Developed space: [148, 148, 148]




Road: [255, 255, 255]




Tree: [34, 97, 38]




Water: [0, 69, 255]




Agriculture land: [75, 181, 73]




Building: [222, 31, 7]



5. License:

Use of the dataset must respect the "Google Earth" terms of use. All images and their associated annotations in LsSCD-Ex can be used for academic purposes only, but any commercial use is prohibited. (CC BY-NC-SA 4.0)
DOI: 10.15468/dl.h4dkmy
title: Occurrence Download

description: A dataset containing 1705 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "TaxonKey is Desmognathus fuscus"
 ]
 },
 "HasCoordinate is TRUE",
 "Year is greater than or equal to 2010",
 "Year is less than or equal to 2024",
 "DecimalLatitude is greater than or equal to 39.800293049929145",
 "DecimalLatitude is less than or equal to 49.3755163493321",
 "DecimalLongitude is greater than or equal to -92.87017281670407",
 "DecimalLongitude is less than or equal to -73.31916441842102",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 1705 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001000-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25952/z612-mb87
title: Synthesising pollination interactions from local fields to global yields

description: <p>The dataset encompasses the results of three crop pollination field experiments and a systematic review to evaluate global crop pollinator dependency. The three field experiments examine the role of (i) co-flowering basil plants on blueberry pollinator visitation rates and berry weight; (ii) the effects of anti-bird netting and polyethylene protective crop covers on blueberry insect visitation and yield; and (iii) the role of blueberry floral morphology on insect visitation rates to three blueberry cultivars. The systematic review collates empirical data derived from studies identified using the Scopus and Web of Science databases in 2020. All data relating to crop pollination outcomes were extracted from publications and encoded together with complete bibliographic records. In addition, the dataset contains a phylogenetic tree of the crop species used for a meta-analysis, derived from open-source datasets.</p>
description: <p>The dataset encompasses the results of three crop pollination field experiments and a systematic review to evaluate global crop pollinator dependency. The three field experiments examine the role of (i) co-flowering basil plants on blueberry pollinator visitation rates and berry weight; (ii) the effects of anti-bird netting and polyethylene protective crop covers on blueberry insect visitation and yield; and (iii) the role of blueberry floral morphology on insect visitation rates to three blueberry cultivars. The systematic review collates empirical data derived from studies identified using the Scopus and Web of Science databases in 2020. All data relating to crop pollination outcomes were extracted from publications and encoded together with complete bibliographic records. In addition, the dataset contains a phylogenetic tree of the crop species used for a meta-analysis, derived from open-source datasets.</p>
DOI: 10.15468/dl.jsgj4w
title: Occurrence Download

description: A dataset containing 378 records in GBIF matching the query:
SELECT
 '629' AS fish_cell,
 GBIF_MGRSCode(1000, decimalLatitude, decimalLongitude, 0) AS cell, -- NO randomization
 COUNT(DISTINCT speciesKey) AS species_richness
 FROM occurrence
 WHERE hasCoordinate = TRUE
 AND speciesKey IS NOT NULL
 AND NOT ARRAY_CONTAINS(issue, 'ZERO_COORDINATE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_OUT_OF_RANGE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_INVALID')
 AND NOT ARRAY_CONTAINS(issue, 'COUNTRY_COORDINATE_MISMATCH')
 AND decimalLatitude &gt;= 72.77152049497572
 AND decimalLatitude &lt;= 79.58564306880243
 AND decimalLongitude &gt;= -74.54065803685361
 AND decimalLongitude &lt;= -43.19981080130058
 AND "year" &gt;= 2015
 AND "year" &lt;= 2026
 AND (coordinateUncertaintyInMeters &lt;= 100 OR coordinateUncertaintyInMeters IS NULL)
 GROUP BY fish_cell, cell

 The dataset's 378 records were derived from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001018-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.935kcj
title: Occurrence Download

description: A dataset containing 9165 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Berteroa incana",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 9165 records from 279 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001004-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e3sap2
title: Occurrence Download

description: A dataset listing the 104 species recorded in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
 },
 "Geometry POLYGON((-74.20184 4.19089,-74.18217 4.17567,-74.17317 4.18055,-74.19411 4.19529,-74.20184 4.19089))"
 ]
}

 The dataset's 104 records were derived from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001019-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.