cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.snew2d
title: Occurrence Download

description: A dataset containing 259031 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Cardellina pusilla",
 "Year 2024-2025"
 ]
}

 The dataset includes 259031 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033396-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/fvymkg
title: Replication Data for: Tracking the motion of group A streptococcus using fast imaging

description: The data includes video with 1000 fps showing bacteria clusters movement inside the DLD device and the z-stacked video projection.
DOI: 10.3886/e238485
title: National Highway Construction Cost Index (NHCCI)

description: Price index that can be used both to track price changes associated with
 highway construction costs, and to convert current dollar expenditures 
on highway construction to real or constant dollar expenditures. The 
National Highway Construction Cost Index (NHCCI) is intended to replace 
the Federal Highway Administration's (FHWA) Bid-Price Index (BPI) in the
 future, but 
also to be compared with BPI for historical purposes.<br>
description: The original distribution site has a reference to additional resources (data): https://www.fhwa.dot.gov/programadmin/contracts/price.cfm<br>See included PDF documents "Description of Componen<b></b>t Contributions ..." and "Description of NHCCI Methodology ..." for detailed information about data source and methodology. <br>
DOI: 10.3886/e238485v1
title: National Highway Construction Cost Index (NHCCI)

description: Price index that can be used both to track price changes associated with
 highway construction costs, and to convert current dollar expenditures 
on highway construction to real or constant dollar expenditures. The 
National Highway Construction Cost Index (NHCCI) is intended to replace 
the Federal Highway Administration's (FHWA) Bid-Price Index (BPI) in the
 future, but 
also to be compared with BPI for historical purposes.<br>
description: The original distribution site has a reference to additional resources (data): https://www.fhwa.dot.gov/programadmin/contracts/price.cfm<br>See included PDF documents "Description of Componen<b></b>t Contributions ..." and "Description of NHCCI Methodology ..." for detailed information about data source and methodology. <br>
DOI: 10.15468/dl.wd7d7u
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Teixeirichthys"
 ]
}

 The dataset includes 13 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033458-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c2tjdr
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pycreus polystachyos",
 "Country is Comoros",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033460-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t74jtc
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033461-250920141307145/datasets/export for details.
DOI: 10.7910/dvn/d26jad
title: Replication Data for: When Discounted Rates End: The Costs of Taking Action in the Mortgage Market

description: Replication code for the figures and tables in "When Discounted Rates End: The Costs of Taking Action in the Mortgage Market".
DOI: 10.15468/dl.ftbm4w
title: Occurrence Download

description: A dataset containing 10766 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Amorpha canescens)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 10766 records from 103 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033462-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yqffyw
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Zanthoxylum flavum)",
 "Geometry MULTIPOLYGON (((-81.25612 24.66194, -81.26083 24.665, -81.27722 24.6525, -81.27444 24.65055, -81.27 24.64972, -81.25945 24.6525, -81.25639 24.65694, -81.25612 24.66194)),((-82.11501 24.59194, -82.13417 24.59472, -82.13417 24.59389, -82.13722 24.59389, -82.14 24.59222, -82.14111 24.59027, -82.14056 24.58805, -82.13612 24.585, -82.12054 24.58305, -82.11639 24.58083, -82.11278 24.57611, -82.11221 24.57166, -82.11333 24.56611, -82.11583 24.56083, -82.12138 24.55639, -82.12111 24.55416, -82.12389 24.55166, -82.12444 24.54889, -82.12389 24.54667, -82.11916 24.54528, -82.11444 24.54583, -82.1075 24.55805, -82.10722 24.56, -82.09973 24.57083, -82.09805 24.57777, -82.09999 24.58305, -82.10306 24.58694, -82.11055 24.59111, -82.11501 24.59194)),((-81.80188 24.55835, -81.80556 24.5575, -81.80766 24.55328, -81.80749 24.55302, -81.80718 24.55262, -81.80684 24.55225, -81.80646 24.55191, -81.80605 24.5516, -81.80562 24.55133, -81.80516 24.5511, -81.80468 24.5509, -81.80416 24.55074, -81.80365 24.55062, -81.80313 24.55056, -81.80261 24.55053, -81.80209 24.55055, -81.80157 24.55061, -81.80106 24.55071, -81.80056 24.55086, -81.80007 24.55105, -81.79961 24.55127, -81.79917 24.55153, -81.79875 24.55183, -81.79837 24.55217, -81.79802 24.55253, -81.7977 24.55292, -81.79742 24.55334, -81.79718 24.55377, -81.79699 24.55423, -81.79684 24.5547, -81.79672 24.55518, -81.79666 24.55567, -81.79665 24.55616, -81.79668 24.55665, -81.79675 24.55713, -81.79688 24.55761, -81.79704 24.55808, -81.79716 24.55834, -81.80188 24.55835)),((-82.15417 24.55139, -82.15445 24.55361, -82.15639 24.55611, -82.16083 24.55555, -82.16444 24.55194, -82.16556 24.54722, -82.16333 24.54305, -82.15834 24.54305, -82.155 24.54722, -82.15417 24.55139)))",
 "BasisOfRecord is Specimen"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033467-250920141307145/datasets/export for details.
DOI: 10.34740/kaggle/dsv/13218087
title: E-Commerce Product Return Likelihood Dataset
DOI: 10.15468/dl.xccfsg
title: Occurrence Download

description: A dataset containing 2196 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Peru",
 "OccurrenceStatus is Present",
 "TaxonKey is Telmatobius"
 ]
}

 The dataset includes 2196 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033465-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fa6xux
title: Occurrence Download

description: A dataset containing 212 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "HasCoordinate is true",
 "PublishingOrg is one of (2a7e3080-28a9-11dd-97cd-b8a03c50a862, f7f9717e-9e50-4a00-a30f-7b134390a566, b6d09100-919d-4026-b35b-22be3dae7156, eac88d99-9f6c-4031-8fc4-8088f0e0dfe7, ad3f9c5f-5021-45a3-a7c4-3e64895f6f79, 7a079928-aee9-418a-b083-6152d01c78d6, b4640710-8e03-11d8-b956-b8a03c50a862, 0c0c7309-6a47-4760-9f5c-a48f6d354f75, 85be57ed-f187-49c9-b7ff-eaa622e06217)",
 "TaxonKey is Oleria makrena"
 ]
}

 The dataset includes 212 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033471-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rrz5r6
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Perdicula manipurensis",
 "Country is one of (Brunei Darussalam, Indonesia, Philippines, Timor-Leste, Singapore)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033472-250920141307145/datasets/export for details.
DOI: 10.15468/dl.aeuxan
title: Occurrence Download

description: A dataset containing 35290 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Indonesia",
 "Geometry POLYGON((110.66508 -3.84046,114.6237 -3.84046,114.6237 -0.74945,110.66508 -0.74945,110.66508 -3.84046))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 35290 records from 167 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033469-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nwauuc
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033473-250920141307145/datasets/export for details.
DOI: 10.15468/dl.k5rvcv
title: Occurrence Download

description: A dataset listing the 8472 species recorded in GBIF matching the query:
{
 "and" : [
 "HostingOrganizationKey is 96710dc8-fecb-440d-ae3e-c34ae8a9616f",
 "PublishingCountry is Guatemala"
 ]
}

 The dataset's 8472 records were derived from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033437-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6h5vtk
title: Occurrence Download

description: A dataset containing 35290 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Indonesia",
 "Geometry POLYGON((110.66508 -3.84046,114.6237 -3.84046,114.6237 -0.74945,110.66508 -0.74945,110.66508 -3.84046))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 35290 records from 167 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033468-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17235643
title: gymnophthalmus_underwoodi_decontaminated_FSCR.fasta.gz
DOI: 10.5281/zenodo.17235644
title: gymnophthalmus_underwoodi_decontaminated_FSCR.fasta.gz
DOI: 10.15468/dl.r8kwyb
title: Occurrence Download

description: A dataset containing 90 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rhynchospora holoschoenoides",
 "Country is Madagascar",
 "HasCoordinate is true"
 ]
}

 The dataset includes 90 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033474-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2j9xkb
title: Occurrence Download

description: A dataset containing 66442 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "Geometry POLYGON((-82.80420 -4.92094,-68.28788 -4.92094,-68.28788 0.89069,-82.80420 0.89069,-82.80420 -4.92094))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Arecaceae"
 ]
}

 The dataset includes 66442 records from 58 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033393-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15472389
title: Multilayer network analysis reveals connectivity synergies between protected area levels across various taxonomic groups

description: Datasets and codes associated to Prima, M.-C., Oliveira-Cruz, L., Miele, V., Si-Moussi, S., Rouveyrol, P., Suarez, L., & Thuiller, W. (2025) Multilayer network analysis reveals connectivity synergies between protected area levels across various taxonomic groups. Conservation Letters, 18:e13148. https://conbio.onlinelibrary.wiley.com/doi/10.1111/conl.13148

The « data » folder contains raw and derived data used in the analysis; the « output » folder contains data used to derive the results presented in:

Prima, M.-C., Oliveira-Cruz, L., Miele, V., Si-Moussi, S., Rouveyrol, P., Suarez, L., & Thuiller, W. (under review).

The organization of these folders and most of the scripts used in this study follow the pipeline of:

Prima, M.-C., Renaud, J., Witté, I., Suarez, L., Rouveyrol, P., Fernando, M., Sacchi, A., Cosentino, F., Santini, L., Maiorano, L., Moreira, F., Dertien, J., Fernández, N., & Thuiller, W. (2024). A comprehensive framework to assess multi-species landscape connectivity. Methods in Ecology and Evolution, 15, 2385–2399. https://doi.org/10.1111/2041-210X.14444 

The code of this pipeline is available from https://github.com/mcpri3/RFLC-SCP. 

This pipeline is made of four main steps, that are:



Step 1. Clustering species in functional groups having similar traits and environmental niches (analyses/Rcode01_GetFunctionalGroups.R).

Step 2. Generating resistance and habitat suitability maps for each group based on an ensemble of species distribution models (analyses/Rcode2_GetResisSuitMaps.R).

Step 3. Generating ecological continuities per group (analyses/Rcode3_GetEcologicalContinuities.R).

Step 4. Calculating multi-scale network metrics (analyses/Rcode4_GetConnectivityMetrics.R).


Notably, we used the same steps 1 to 3. We have however updated step 4 to incorporate the multilayer network approach. This updated script is available here: analyses/Rcode4_GetConnectivityMetrics_MultilayerFramework.R. This script calls a function available in R/get.conn.metrics.R. The figures of the paper (and of the supplementary material) are available in the « figures » folder, the script to produce these figures is in the « analyses » folder.
DOI: 10.5281/zenodo.15472390
title: Multilayer network analysis reveals connectivity synergies between protected area levels across various taxonomic groups

description: Datasets and codes associated to Prima, M.-C., Oliveira-Cruz, L., Miele, V., Si-Moussi, S., Rouveyrol, P., Suarez, L., & Thuiller, W. (2025) Multilayer network analysis reveals connectivity synergies between protected area levels across various taxonomic groups. Conservation Letters, 18:e13148. https://conbio.onlinelibrary.wiley.com/doi/10.1111/conl.13148

The « data » folder contains raw and derived data used in the analysis; the « output » folder contains data used to derive the results presented in:

Prima, M.-C., Oliveira-Cruz, L., Miele, V., Si-Moussi, S., Rouveyrol, P., Suarez, L., & Thuiller, W. (under review).

The organization of these folders and most of the scripts used in this study follow the pipeline of:

Prima, M.-C., Renaud, J., Witté, I., Suarez, L., Rouveyrol, P., Fernando, M., Sacchi, A., Cosentino, F., Santini, L., Maiorano, L., Moreira, F., Dertien, J., Fernández, N., & Thuiller, W. (2024). A comprehensive framework to assess multi-species landscape connectivity. Methods in Ecology and Evolution, 15, 2385–2399. https://doi.org/10.1111/2041-210X.14444 

The code of this pipeline is available from https://github.com/mcpri3/RFLC-SCP. 

This pipeline is made of four main steps, that are:



Step 1. Clustering species in functional groups having similar traits and environmental niches (analyses/Rcode01_GetFunctionalGroups.R).

Step 2. Generating resistance and habitat suitability maps for each group based on an ensemble of species distribution models (analyses/Rcode2_GetResisSuitMaps.R).

Step 3. Generating ecological continuities per group (analyses/Rcode3_GetEcologicalContinuities.R).

Step 4. Calculating multi-scale network metrics (analyses/Rcode4_GetConnectivityMetrics.R).


Notably, we used the same steps 1 to 3. We have however updated step 4 to incorporate the multilayer network approach. This updated script is available here: analyses/Rcode4_GetConnectivityMetrics_MultilayerFramework.R. This script calls a function available in R/get.conn.metrics.R. The figures of the paper (and of the supplementary material) are available in the « figures » folder, the script to produce these figures is in the « analyses » folder.
DOI: 10.5281/zenodo.17233319
title: DEM, GIS and environmental study Dataset of LIP 3D Project

description: The current Dataset is related with the task 2.3 for Geo-Morphological and Topographical analyses and GIS mapping within for the Lip3D project (N. 101173974). Research was conducted mainly on the geology, geomorphology and topography of the sites. Digital Elevation Models (DEMs) and GIS point mapping were the result of the Deliverable 2.2.

Digital Elevation Models (DEMs) as well as Digital Surface Models (DSMs) and Digital Terrain Models (DTMs) have become an essential tool in cultural heritage and archaeology, allowing scientists to explore landscapes in unprecedented ways. DEMs can reveal hidden topography such as ancient earthworks, mounds, road systems, or terraces that are not readily apparent on or under the ground. Digital Models have enabled site and feature detection in large scale as well, enabling archaeologists to pinpoint and map features without intruding the ground. 

Besides detection, DEMs are also capable of bringing valuable insights to the compatibility of the archaeological sites with the environment. By analyzing slope, elevation, and relative position to water sources, we can rebuild early patterns of settlement, agricultural practices, and transportation routes. They are also useful for conservation purposes as they can pinpoint areas where erosion, flood, or human entry is likely to occur, permitting conservation efforts to be targeted. When combined with 3D modeling techniques, DEMs enable the creation of highly resolved visualizations of landscapes and cultural sites, benefitting research, public engagement, and virtual reconstructions.
DOI: 10.5281/zenodo.17233320
title: DEM, GIS and environmental study Dataset of LIP 3D Project

description: The current Dataset is related with the task 2.3 for Geo-Morphological and Topographical analyses and GIS mapping within for the Lip3D project (N. 101173974). Research was conducted mainly on the geology, geomorphology and topography of the sites. Digital Elevation Models (DEMs) and GIS point mapping were the result of the Deliverable 2.2.

Digital Elevation Models (DEMs) as well as Digital Surface Models (DSMs) and Digital Terrain Models (DTMs) have become an essential tool in cultural heritage and archaeology, allowing scientists to explore landscapes in unprecedented ways. DEMs can reveal hidden topography such as ancient earthworks, mounds, road systems, or terraces that are not readily apparent on or under the ground. Digital Models have enabled site and feature detection in large scale as well, enabling archaeologists to pinpoint and map features without intruding the ground. 

Besides detection, DEMs are also capable of bringing valuable insights to the compatibility of the archaeological sites with the environment. By analyzing slope, elevation, and relative position to water sources, we can rebuild early patterns of settlement, agricultural practices, and transportation routes. They are also useful for conservation purposes as they can pinpoint areas where erosion, flood, or human entry is likely to occur, permitting conservation efforts to be targeted. When combined with 3D modeling techniques, DEMs enable the creation of highly resolved visualizations of landscapes and cultural sites, benefitting research, public engagement, and virtual reconstructions.
DOI: 10.15468/dl.ha6q5c
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rhynchospora holoschoenoides",
 "Country is Mauritius",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033475-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.df2nw2
title: Occurrence Download

description: A dataset containing 4703 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is one of (Peru, Mexico)",
 "TaxonKey is Grallaria andicolus"
 ]
}

 The dataset includes 4703 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033476-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2auhtq
title: Occurrence Download

description: A dataset containing 66015 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Specimen, Material citation, Material sample, Living Specimen, Occurrence evidence)",
 "Continent is North America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Crocodylia",
 "Year 2015-2025"
 ]
}

 The dataset includes 66015 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033430-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5066/p142xu4s
title: Island of Hawai‘i, ‘Io (Hawaiian hawk) GPS tracking locations, 2019-2020

description: We tracked the movement of 15 ‘Io, or Hawaiian Hawks (Buteo solitarius) from 2019-2021. Individuals were tracked for up to 18 months across a diverse landscape on the eastern side of the Island of Hawai'i. GPS-GSM (global positioning system location with global system of mobile communications) tracking tags were placed on each bird, with locations obtained every 1 hour during diurnal hours, and every 3 hours during nocturnal hours, with two birds having locations obtained every 2 hours as a result of tag power issues. A total of 111,320 locations were obtained.