cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25405/data.ncl.26282110.v1
title: Hydrodynamics at the interface between expanding and eroding mangrove forests in the Mekong delta, Vietnam

description: This dataset contains acceleration data measured from low-cost and open-source bottom-mounted floats called ‘Mini Buoys’, to identify hydrological tipping points between expanding and eroding mangrove edges in the Mekong delta, Vietnam.<b>Data collection method</b>: Data to assess the hydrological tipping point between expanding and eroding mangrove edges was gathered at Soc Trang (09°25′11″N, 106°10′48″E), Ca Mau (08°38′00″N, 104°42′43″E), and Kien Giang (09°50′01″N, 104°53′25″E) sites along the Mekong delta, Vietnam. B4+ Mini Buoys were deployed along seaward mangrove edges where there was a transition from expansion to erosion. Each logger sampled y-axis acceleration at 1 Hz. Coordinates showing the location of each Mini Buoy deployment are expressed in WGS84 standard. Unfortunately, some Mini Buoys were lost during deployment.Data collected between: 25/06/2022 and 31/08/2022No processing was done to acceleration data.Related blogs/publications: https://livingdeltas.org/blog/mini-buoys-in-the-indian-sundarban-a-story-of-challenges-collaboration-and-commitmenthttps://livingdeltas.org/publications/monitoring-tidal-hydrology-in-coastal-wetlands-with-the-mini-buoy-applications-for-mangrove-restorationhttps://livingdeltas.org/publications/the-mini-buoy-a-novel-hydrodynamics-sensor-for-long-term-deployments-in-coastal-wetlandshttps://livingdeltas.org/blog/inexpensive-amp-open-source-sensors-could-dramatically-improve-the-success-of-mangrove-plantation-schemeshttps://livingdeltas.org/resources/hydrodynamics-survey-along-embankments-of-kumirmari-island-gosaba-indian-sundarban
DOI: 10.6084/m9.figshare.28191128
title: Code to the manuscript "Pinpointing Amazon forest transitions under global warming and deforestation" by N. Wunderling, B. Sakschewski, J. Rockström, B. Flores, M. Hirota, and A. Staal

description: Code to the manuscript "Pinpointing Amazon forest transitions under global warming and deforestation" by N. Wunderling, B. Sakschewski, J. Rockström, B. Flores, M. Hirota, and A. Staal
DOI: 10.6084/m9.figshare.28191128.v2
title: Code to the manuscript "Pinpointing Amazon forest transitions under global warming and deforestation" by N. Wunderling, B. Sakschewski, J. Rockström, B. Flores, M. Hirota, and A. Staal

description: Code to the manuscript "Pinpointing Amazon forest transitions under global warming and deforestation" by N. Wunderling, B. Sakschewski, J. Rockström, B. Flores, M. Hirota, and A. Staal
DOI: 10.6084/m9.figshare.28191128.v1
title: Code to the manuscript "Pinpointing Amazon forest tipping in global warming and deforestation pathways" by N. Wunderling, B. Sakschewski, J. Rockström, B. Flores, M. Hirota, and A. Staal

description: Code to the manuscript "Pinpointing Amazon forest tipping in global warming and deforestation pathways" by N. Wunderling, B. Sakschewski, J. Rockström, B. Flores, M. Hirota, and A. Staal
DOI: 10.21227/k5nt-re33
title: "Nomenclature and Data for Optimal sizing of a standalone charging station for electric vehicles serving remote communities"

description: "Dataset and nomenclature for a paper."
DOI: 10.15468/dl.ezn8fb
title: Occurrence Download

description: A dataset containing 21634 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is France",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Botaurus stellaris"
 ]
}

 The dataset includes 21634 records from 415 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007244-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18319101
title: Going Around Phase Defects: Reliable Phase Mapping for Realistic Data (Optical Mapping Data)

description: This repository contains optical mapping data of ventricular fibrillation (VF) acquired from an isolated rat heart. The dataset was analyzed and presented in the paper:

Going Around Phase Defects: Reliable Phase Mapping for Realistic Data.

The data correspond to a single experimental case with maximally increased gap junction coupling achieved by administration of 80 nM rotigaptide. This condition was chosen to test the proposed phase-mapping methods under stable rotor dynamics.

A Sprague–Dawley rat (250–300 g, 9–12 weeks old) heart was explanted and perfused ex vivo using a Langendorff setup with Krebs–Henseleit buffer maintained at 37 ± 0.5 °C and pH 7.35 ± 0.05. After 15 minutes of stabilization, the voltage-sensitive dye RH237 (40 µL, 5 mg/mL in DMSO) and the excitation–contraction uncoupler blebbistatin (30 µM loading, then 10 µM maintenance) were added. Gap junction coupling was enhanced by 80 nM rotigaptide. Ventricular fibrillation was induced electrically at the base of the left ventricle (MicroPace, USA) and sustained using pinacidil (30 µM).

Optical mapping was performed using RH237 excitation at 530 nm. Emitted fluorescence was recorded with high-resolution CMOS cameras at a sampling rate of 1 kHz, with a spatial resolution of 128 × 80 pixels and a pixel size of approximately 100–125 µm.

Data preprocessing was performed in MATLAB and included background subtraction, 3 × 3 spatial binning, low-pass filtering using a 50th-order FIR filter with a cutoff frequency of 100 Hz, and drift removal using a 100 ms sliding window. Additional details on the signal processing pipeline are described in Laughner et al. (2012)
DOI: 10.5281/zenodo.18319102
title: Going Around Phase Defects: Reliable Phase Mapping for Realistic Data (Optical Mapping Data)

description: This repository contains optical mapping data of ventricular fibrillation (VF) acquired from an isolated rat heart. The dataset was analyzed and presented in the paper:

Going Around Phase Defects: Reliable Phase Mapping for Realistic Data.

The data correspond to a single experimental case with maximally increased gap junction coupling achieved by administration of 80 nM rotigaptide. This condition was chosen to test the proposed phase-mapping methods under stable rotor dynamics.

A Sprague–Dawley rat (250–300 g, 9–12 weeks old) heart was explanted and perfused ex vivo using a Langendorff setup with Krebs–Henseleit buffer maintained at 37 ± 0.5 °C and pH 7.35 ± 0.05. After 15 minutes of stabilization, the voltage-sensitive dye RH237 (40 µL, 5 mg/mL in DMSO) and the excitation–contraction uncoupler blebbistatin (30 µM loading, then 10 µM maintenance) were added. Gap junction coupling was enhanced by 80 nM rotigaptide. Ventricular fibrillation was induced electrically at the base of the left ventricle (MicroPace, USA) and sustained using pinacidil (30 µM).

Optical mapping was performed using RH237 excitation at 530 nm. Emitted fluorescence was recorded with high-resolution CMOS cameras at a sampling rate of 1 kHz, with a spatial resolution of 128 × 80 pixels and a pixel size of approximately 100–125 µm.

Data preprocessing was performed in MATLAB and included background subtraction, 3 × 3 spatial binning, low-pass filtering using a 50th-order FIR filter with a cutoff frequency of 100 Hz, and drift removal using a 100 ms sliding window. Additional details on the signal processing pipeline are described in Laughner et al. (2012)
DOI: 10.25405/data.ncl.26282422
title: Hydrodynamics across a mangrove restoration site in the Red River delta, Vietnam

description: This dataset contains acceleration data measured from 19 low-cost and open-source bottom-mounted floats called ‘Mini Buoys’, to identify hydrological conditions associated with thriving and failing planted mangrove patches in the Red River delta, Vietnam.<b>Data collection method:</b> Data to assess the hydrological tipping point between establishing and failing planted mangrove patches was gathered at Thai Binh Nature Reserve (20°34′35″N, 106°37′09″E) along the Red River delta, Vietnam. B4+ Mini Buoys were deployed in a grid between planted mangrove trees of different ages. Each logger sampled y-axis acceleration at 1 Hz. Coordinates showing the location of each Mini Buoy deployment are expressed in WGS84 standard.Data was collected between: 09/09/2022 and 19/09/2022No processing was done to acceleration data.Related blogs/publicationshttps://livingdeltas.org/blog/mini-buoys-in-the-indian-sundarban-a-story-of-challenges-collaboration-and-commitmenthttps://livingdeltas.org/publications/monitoring-tidal-hydrology-in-coastal-wetlands-with-the-mini-buoy-applications-for-mangrove-restorationhttps://livingdeltas.org/publications/the-mini-buoy-a-novel-hydrodynamics-sensor-for-long-term-deployments-in-coastal-wetlandshttps://livingdeltas.org/blog/inexpensive-amp-open-source-sensors-could-dramatically-improve-the-success-of-mangrove-plantation-schemeshttps://livingdeltas.org/resources/hydrodynamics-survey-along-embankments-of-kumirmari-island-gosaba-indian-sundarban
DOI: 10.25405/data.ncl.26282422.v1
title: Hydrodynamics across a mangrove restoration site in the Red River delta, Vietnam

description: This dataset contains acceleration data measured from 19 low-cost and open-source bottom-mounted floats called ‘Mini Buoys’, to identify hydrological conditions associated with thriving and failing planted mangrove patches in the Red River delta, Vietnam.<b>Data collection method:</b> Data to assess the hydrological tipping point between establishing and failing planted mangrove patches was gathered at Thai Binh Nature Reserve (20°34′35″N, 106°37′09″E) along the Red River delta, Vietnam. B4+ Mini Buoys were deployed in a grid between planted mangrove trees of different ages. Each logger sampled y-axis acceleration at 1 Hz. Coordinates showing the location of each Mini Buoy deployment are expressed in WGS84 standard.Data was collected between: 09/09/2022 and 19/09/2022No processing was done to acceleration data.Related blogs/publicationshttps://livingdeltas.org/blog/mini-buoys-in-the-indian-sundarban-a-story-of-challenges-collaboration-and-commitmenthttps://livingdeltas.org/publications/monitoring-tidal-hydrology-in-coastal-wetlands-with-the-mini-buoy-applications-for-mangrove-restorationhttps://livingdeltas.org/publications/the-mini-buoy-a-novel-hydrodynamics-sensor-for-long-term-deployments-in-coastal-wetlandshttps://livingdeltas.org/blog/inexpensive-amp-open-source-sensors-could-dramatically-improve-the-success-of-mangrove-plantation-schemeshttps://livingdeltas.org/resources/hydrodynamics-survey-along-embankments-of-kumirmari-island-gosaba-indian-sundarban
DOI: 10.6073/pasta/53461aede508f1caa5cc836e7e0465f8
title: PIE LTER 10-minute marsh water table height at Nelson Island, Rowley, MA from April-November 2024.

description: Measurements of water table height in the Nelson Island marsh located near the Nelson Island eddy flux tower, Rowley, MA. Measurements were taken every 10 minutes at each logger along a transect of water level loggers running perpendicular to the Nelson stream bank at Nelson Island from Apr-November 2024.
DOI: 10.7910/dvn/xk2sua
title: CO2-Index: Atmospheric Gas Emission Index in the Legislative Activity of Brazilian Deputies (2019-2022)

description: About – What It Is
The CO2-Index is an atmospheric gas emission index in legislative activity. We estimate the atmospheric impact of Brazilian federal deputies by assigning emission sector weights to their votes, bills, and speeches. First, we classify legislative actions as either emitting or mitigating. Then, using data from the Greenhouse Gas Emission and Removal Estimating System (SEEG), we associate each legislative action with an emission sector and assign it the weight of that sector's carbon emissions in the year of the action. The subtraction of total emitting weights from mitigating weights forms our index.

About – How It Is Done
To calculate the CO2-Index, we consider roll-call votes, speeches delivered in plenary sessions, and bills proposed by deputies in the 56th Legislature (2019-2022). Each of these actions is classified as either emitting or mitigating. We then associate the actions with one or more emission sectors: Agriculture, Energy, Land Use Change and Forestry, Industrial Processes, and Waste. Next, we assign each action the net emissions weight of the relevant sector in the year the legislative action took place. Finally, we subtract emitting weights from mitigating weights. Deputies with a positive score are more emission-intensive, while those with a negative score are mitigators.
DOI: 10.15468/dl.42vcg8
title: Occurrence Download

description: A dataset containing 4214 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Coleccion Hosseus de Musgos en el Museo Botánico CORD - IMBIV"
 ]
}

 The dataset includes 4214 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007247-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qnaq7t
title: Occurrence Download

description: A dataset containing 1233 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cnemidophorus cryptus"
 ]
}

 The dataset includes 1233 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007248-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8zyb4b
title: Occurrence Download

description: A dataset containing 8371 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pisolithus arhizus"
 ]
}

 The dataset includes 8371 records from 244 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007249-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8h7jbk
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((88.84862800000001 24.074726, 88.771717 24.069149, 88.696719 24.052557, 88.625499 24.025362, 88.55982299999999 23.988241, 88.501318 23.942115, 88.451427 23.888128, 88.41137500000001 23.82762, 88.38214000000001 23.762088, 88.36442599999999 23.69315, 88.358654 23.622509, 88.36494500000001 23.551906, 88.383127 23.483077, 88.412734 23.417712, 88.453024 23.357416, 88.50299699999999 23.303665, 88.56142 23.257774, 88.626857 23.220864, 88.697706 23.193838, 88.77223600000001 23.177354, 88.84862800000001 23.171814, 88.92502 23.177354, 88.99955 23.193838, 89.07039899999999 23.220864, 89.135836 23.257774, 89.194259 23.303665, 89.244232 23.357416, 89.284522 23.417712, 89.31412899999999 23.483077, 89.332311 23.551906, 89.33860199999999 23.622509, 89.33283 23.69315, 89.315116 23.762088, 89.285881 23.82762, 89.245829 23.888128, 89.195938 23.942115, 89.137433 23.988241, 89.07175700000001 24.025362, 89.00053699999999 24.052557, 88.925539 24.069149, 88.84862800000001 24.074726))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007250-260120142942310/datasets/export for details.
DOI: 10.25405/data.ncl.26311654
title: Coastal Tipping Points Household Survey – Red River Delta

description: Blank questionnaire (in Vietnamese and English), consent form (in Vietnamese and English) and meta data (in English) relating to a household survey carried out with 900 respondents in Hai Phong city, and Thai Binh and Ninh Binh provinces of the Red River Delta. The questionnaire and resulting data includes sections on social economics and demographic data, locating ecosystem contribution, mangrove ecosystem services, perception of farmers of tipping points or risk/hazards, coping and adaptation to risks/hazards, individual/community aspirations, and apprehension for delta futures. The household surveys used face-to-face interviews with questionnaires. The surveys were completed in 2023. Because of confidentiality and consent considerations, survey data cannot be shared.
DOI: 10.25405/data.ncl.26311654.v1
title: Coastal Tipping Points Household Survey – Red River Delta

description: Blank questionnaire (in Vietnamese and English), consent form (in Vietnamese and English) and meta data (in English) relating to a household survey carried out with 900 respondents in Hai Phong city, and Thai Binh and Ninh Binh provinces of the Red River Delta. The questionnaire and resulting data includes sections on social economics and demographic data, locating ecosystem contribution, mangrove ecosystem services, perception of farmers of tipping points or risk/hazards, coping and adaptation to risks/hazards, individual/community aspirations, and apprehension for delta futures. The household surveys used face-to-face interviews with questionnaires. The surveys were completed in 2023. Because of confidentiality and consent considerations, survey data cannot be shared.
DOI: 10.25824/redu/8oebz7
title: Markers for mitotic catastrophe in sodium valproate-treated HeLa cells

description: The data set shows features for immunofluorescence signals which identify caspase-2 and p53 in HeLa cells cultured in the presence of 1 mM and 20 mM sodium valproate (VPA) for 4 h, and 20 mM VPA for 48 h. These proteins are ascribed to be potentially associated with the incidence of mitotic catastrophe, an oncosupressive event. Cells were fixed in methanol at -20 °C for 10 min, rinsed in PBS, permeabilized with 0.2% Triton X-100 for 10 min, and blocked in 5% BSA for 1 h. Rabbit anti-caspase-2 and anti-p53 were used as primary antibodies (1:200 and 1:100 dilutions, respectively). Goat anti-rabbit conjugated with Alexa-Fluor 488 (1:500 dilution) was used as secondary antibody. The images were captured in a Leica TCS SP5 II confocal microscope at the Laboratório Central de Tecnologias de Alto Desempenho em Ciências da Vida (LaCTAD/UNICAMP). The evaluated features were: total fluorescence area, mean gray value (average pixel intensity within a region of interest), standard deviation, minimum and maximal intensity (lowest and highest pixel intensity value within a region, respectively), integrated density (backgound-normalized sum of the pixel intensity values within the image or selection), and raw integrated density (sum of the values of the image pixels).
DOI: 10.15468/dl.8wqat3
title: Occurrence Download

description: A dataset containing 494406 records in GBIF matching the query:
SELECT
 kingdom,
 kingdomkey,
 phylum,
 phylumkey,
 class,
 classkey,
 "order",
 orderkey,
 family,
 familykey,
 genus,
 genuskey,
 species,
 specieskey,
 "year",
 IF(ISNULL(classkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY classkey, "year")) classcount,
 IF(ISNULL(orderkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY orderkey, "year")) ordercount,
 IF(ISNULL(familykey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY familykey, "year")) familycount,
 COUNT(*) occurrences,
 MIN(COALESCE(coordinateuncertaintyinmeters, 1000)) mincoordinateuncertaintyinmeters
FROM
 occurrence
WHERE
 occurrence.datasetkey = '4fa7b334-ce0d-4e88-aaae-2e0c138d049e'
 AND occurrence.hasgeospatialissues = FALSE
 AND NOT GBIF_STRINGARRAYCONTAINS(occurrence.issue, 'TAXON_MATCH_FUZZY', TRUE)
 AND (occurrence.distancefromcentroidinmeters &gt;= 2000.0 OR occurrence.distancefromcentroidinmeters IS NULL)
 AND NOT occurrence.basisofrecord IN ('FOSSIL_SPECIMEN', 'LIVING_SPECIMEN')
 AND occurrence.occurrencestatus = 'PRESENT'
 AND (occurrence.classificationdetails['d7dddbf4-2cf0-4f39-9b2a-bb099caae36c']['specieskey'] &lt;&gt; '' AND occurrence."year" IS NOT NULL)
GROUP BY
 occurrence.kingdom,
 occurrence.kingdomkey,
 occurrence.phylum,
 occurrence.phylumkey,
 occurrence.class,
 occurrence.classkey,
 occurrence."order",
 occurrence.orderkey,
 occurrence.family,
 occurrence.familykey,
 occurrence.genus,
 occurrence.genuskey,
 occurrence.species,
 occurrence.specieskey,
 occurrence."year"

 The dataset's 494406 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007221-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8vchyp
title: Occurrence Download

description: A dataset listing the 240 species recorded in GBIF matching the query:
{
 "and" : [
 "Locality is one of (Mont de Couple, Mont de Couple à Audembert (Nord-Pas-de-Calais); g, Audembert - Mont de Couple)",
 "OccurrenceStatus is Present",
 "Year 2015-2025"
 ]
}

 The dataset's 240 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007227-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6073/pasta/8d532112c80cfb23d08c22c86688e736
title: PIE LTER 10-minute marsh water table height at Shad Creek, Rowley, MA from April-November 2024.

description: Measurements of water table height in the Shad Creek marsh located near the Shad Creek eddy flux tower, Rowley, MA. Measurements were taken every 10 minutes at each logger along a transect of water level loggers running perpendicular to the Shad Creek stream bank at Shad Creek from April-November 2024.
DOI: 10.15468/dl.sx6wbw
title: Occurrence Download

description: A dataset containing 9988 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Notechis scutatus",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1950",
 "Year is less than or equal to 2026"
 ]
}

 The dataset includes 9988 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007252-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wsszg2
title: Occurrence Download

description: A dataset containing 53 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Setaria pumila",
 "Year 1970-2000"
 ]
}

 The dataset includes 53 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007254-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bfrh9f
title: Occurrence Download

description: A dataset containing 263 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "TaxonKey is Cnemidophorus cryptus",
 "Year 2000-2026"
 ]
}

 The dataset includes 263 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007255-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.