cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.xhnj9k
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Poland",
 "TaxonKey is Caliscelidae"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011876-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15544944
title: Submitted Galaxy Scores to the Gravitational Wave Treasure Map for event MS250529l Preliminary

description: Attached in a .json file is the ranked galaxy information within the contour region of the EM counterpart search associated with the gravitational wave event MS250529l Preliminary. A reference to these calculations can be found here: https://ui.adsabs.harvard.edu/abs/2017ApJ...848L..33A/abstract
DOI: 10.5281/zenodo.15544945
title: Submitted Galaxy Scores to the Gravitational Wave Treasure Map for event MS250529l Preliminary

description: Attached in a .json file is the ranked galaxy information within the contour region of the EM counterpart search associated with the gravitational wave event MS250529l Preliminary. A reference to these calculations can be found here: https://ui.adsabs.harvard.edu/abs/2017ApJ...848L..33A/abstract
DOI: 10.15468/dl.3b7m3w
title: Occurrence Download

description: A dataset containing 47109 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Solanum carolinense L."
 ]
}

 The dataset includes 47109 records from 364 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006609-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17603/ds2-jmfv-9171
title: 2018 Anchorage Alaska Rockslope Laser Scan Surveys
title: in RAPID: Quantifying Temporal Changes in Rockfall Magnitude-Frequencies for Well-Characterized Rockslopes Shaken by the 2018 Alaska Earthquake

description: Earthquakes cause many hazards during shaking, but some of the hazards linger long after the seismic event is over. For example, heightened frequency of landslides and rockfalls commonly occur in the months - and even years - following an earthquake. This Rapid Response Research (RAPID) project seeks to capture perishable data from several rock slopes highly susceptible to rockfall that were affected by the recent earthquake in Anchorage. By doing this, we may compare the rate and frequency of rockfall occurrence to pre-earthquake levels in order to better understand how much rockfall activity increases following shaking, and how long it takes to return to pre-earthquake levels. This has implications for post-earthquake recovery and seismic resilience throughout much of the US and abroad. 

Earthquakes often trigger significant rockfall activity in steep cliffs. The recent 2018 November 30th Alaska earthquake caused significant shaking (up to 0.4g) across the Anchorage region, resulting in numerous rockfalls, landslides, and lateral spreads. The combination of potentially large volumes, high velocities, long travel distances, and impact forces make the rockfall hazard significant. Based on observations from past events in New Zealand, it is believed that rockfall activity over at least the next several months will exceed "normal" baseline levels before decreasing. Nevertheless, as is often the case, the previous research does not have detailed baseline information prior to the event. This prior research begs three primary scientific questions: what is "baseline" rockfall activity? How does shaking translate to increased rockfall activity, magnitude, and frequency particularly in the heterogenous geologic conditions encountered in the rock slopes surrounding Anchorage? And lastly, how quickly does rockfall activity and magnitude return to baseline conditions? This project seeks to collect rockfall activity rates through repeat terrestrial laser scanning at well-characterized rockfall sites near Anchorage. Change detection will be performed and the rate of rockfall activity characterized in comparison to previous epochs and the serial data collected as part of this project. With existing baseline data not influenced by recent seismic activity, we will characterize and compare the activity rate following shaking. This investigation will provide fundamental knowledge about the process that dictates both the increase and decay in rockfall activity after seismic disturbance. The resulting knowledge will provide data needed to support and advance modern performance- and risk-based extreme event design methodologies.
description: Laser scan surveys of rock slopes near Long Lake Alaska following the 2018 Anchorage Alaska Earthquake.
DOI: 10.15468/dl.k6mvm8
title: Occurrence Download

description: A dataset containing 36448 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Streptomyces Waksman & Henrici, 1943"
 ]
}

 The dataset includes 36448 records from 425 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015618-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17603/ds2-wxh4-kx43
title: Field Seismic Assessments of Microbially Induced Desaturation (MID) Ground Treatment Method
title: in RAPID Liquefaction Mitigation of Silts Using MID Ground Treatment Method and Field Testing with NHERI@UTexas Large Mobile Shakers

description: The objective of this study is to investigate the effectiveness of the Microbially Induced Desaturation (MID) ground improvement method in reducing liquefaction potential of silty soils. Field studies were conducted at the Sunderland site in Portland, OR.  Tests conducted at the site includes: (1) a Direct-Push Crosshole (DPCH) test, (2) four liquefaction screening tests, (3) series of crosshole tests using an embedded sensor array, and (4) series of stage-loading, shaking tests using an embedded sensor array and a screening sensor. Two NHERI@UTexas hydraulic mobile shakers named T-Rex and Rattler were utilized in this study. The DPCH testing was conducted first to obtain the P-wave and shear wave velocity profiles of the test site. The screening tests were conducted to evaluate the potential of excess pore-water pressure generation in the soils over a range of depths. A sensor array consisted of eight 3-D ground motion sensor (geophones) and four pore-water pressure transducer (PPT) were installed based on DPCH and screening tests results. Crosshole tests and series of stage-loading, shaking tests were conducted to evaluate P-wave velocities and the excess pore-water pressure induced by cyclic loading from T-Rex and Rattler. Crosshole tests and series of stage-loading, shaking tests were repeated after the MID treatment was applied through the soil mass in the sensor array. Results before the MID treatment shows the treatment is highly effective in reduce P-wave velocity in saturated soil; hence, the treatment is effective is desaturating silty soils. More studies are needed to determine the effects of MID treatment on the excess pore-water pressure induced by cyclic loading.
description: RAPID Liquefaction Mitigation of Silts Using MID Ground Treatment Method and Field Testing with NHERI@UTexas Large Mobile Shakers
DOI: 10.17603/ds2-a6mf-mz82
title: Field Assessment Structural Team (FAST-1) Dataset
title: in StEER - 3 March 2020 Nashville Tornadoes

description: Observing damage and documenting successful performance of buildings and other structures. Classes include residential, commercial, and power infrastructure. Methodologies include detailed damage assessments in Fulcrum, deployment of UAS for high-resolution aerial imagery, and deployment of surface-level panoramic imaging devices. Hazard indicators were also captured.
description: In the early morning hours of March 3, 2020, a strong tornado struck the City of Nashville and the surrounding metropolitan region with estimated maximum wind speeds of 165 mph. The tornado passed through Nashville and continued east for 53 miles, impacting the communities of Donelson, Mt. Juliet and Lebanon before lifting. The same storm system then produced a second tornado that struck Cookeville, TN with estimated wind speeds of 175 mph. The Nashville tornado was the third tornado that passed through the Five Points area of Nashville. Damage was reported across a diverse cross-section of buildings spanning a number of communities: Camden, Germantown/North Nashville, East Nashville/Five Points, Donelson, Mt. Juliet, Lebanon and Cookeville. Exposure of an urban metro area to this series of tornadoes resulted in significant impacts to power infrastructure and building performance ranging from loss of roof cover and broken windows to complete destruction. Affected typologies and building classes include single and multi-family wood framed homes, commercial construction (ranging from big box stores down to smaller restaurants/retail shops), airport and industrial buildings, and a number of schools. More gravely, these nocturnal tornadoes claimed two dozen lives and injured hundreds more. Given the loss of life and property in this event and the fact that the Nashville tornado sequence impacted an urban area with diverse building classes and typologies, this event offers an opportunity to advance our knowledge of structural resistance to strong winds, particularly given that new construction was among the inventory significantly damaged. This project encompasses the products of StEER's response to this event: Preliminary Virtual Reconnaissance Report (PVRR), Early Access Reconnaissance Report (EARR) and Curated Dataset.
DOI: 10.17603/ds2-1fb5-kn59
title: Semi-Structured Interviews with National Weather Service Forecasters Impacted by Hurricane Harvey
title: in Compound Wind and Water Hazards Embedded in Landfalling Hurricanes and Continental Convection

description: Semi-structured Interviews with NWS forecasters in two Weather Forecast Offices responsible for issuing wind and water warnings related to the hurricane. These were collected through face-to-face interviews with participants, which were audio recorded and transcribed.
description: This project was designed to better understand how different experts and publics attended to, experienced, and made decisions about compound wind and water hazards before and during hurricanes. We collected two sets of data: Twitter data that captures mention of wind and water threats over the lifecycle of Hurricanes Florence and Harvey and interviews with National Weather Service Forecast meteorologists who issued warnings for wind and water threats before and during the storms. This project is unique in its triangulation of data from social media, which function as a digital ethnography of both different experts' and publics' reported experiences with compound wind and water threats, overlapping warning data collected for each storm, and from semi-structured interviews with five NWS Weather Forecast Offices a year after the storm. The audience for this data includes those desire to understand multiple perspectives on compound hurricane hazards and who conduct qualitative and social media analysis.
DOI: 10.25378/janelia.13114343.v2
title: Isotropic 3D electron microscopy reference data of wild-type, THP-1 macrophage (jrc_macrophage-2)

description: <b>This acquisition is part of the CellMap 2024 Segmentation Challenge</b><b>Challenge DOI:</b> https://doi.org/10.25378/janelia.c.7456966<b>Challenge Website:</b> https://cellmapchallenge.janelia.org/<b>Sample</b>: Wild-type THP-1 macrophage<b>Sample description: </b>Understanding cellular architecture is essential for understanding biology. Electron microscopy (EM) uniquely visualizes cellular structure with nanometer resolution. However, traditional methods, such as thin-section EM or EM tomography, have limitations inasmuch as they only visualize a single slice or a relatively small volume of the cell, respectively. Here, we overcome these limitations by long-term imaging whole cells and tissues via the enhanced Focus Ion Beam Scanning Electron Microscopy (FIB-SEM) platform in high resolution mode with month-long acquisition duration. We use this approach to generate reference 3D image data sets at 4-nm isotropic voxels. Together with subsequent segmentation, we hope to create a reference library to explore comprehensive quantification of whole cells and all their constituents, thus addressing questions related to cell identities, cell morphologies, cell-cell interactions, as well as intracellular organelle organization and structure.<br><b>Protocol</b>: High pressure freezing, freeze-substitution resin embedding with 2% OsO4 0.1% UA 3% H2O in acetone; resin embedding in Eponate 12.<b>Contributions</b>: Sample provided by Huxley K. Hoffman and Schuyler B. van Engelenburg (U. Denver), prepared for imaging by Gleb Shtengel (HHMI/Janelia), with imaging and post-processing by C. Shan Xu (HHMI/Janelia).<b>Acquisition ID</b>: jrc_macrophage-1<b>Final voxel size (nm)</b>: 4.0 x 4.0 x 3.36 (X, Y, Z)<b>Dimensions (µm)</b>: 40 x 8 x 37 (X, Y, Z)<b>Imaging start date</b>: 2018-11-11<b>Imaging duration (days)</b>: 19<b>Landing energy (eV)</b>: 1200<b>Imaging current (nA)</b>: 0.25<b>Scanning speed (MHz)</b>: 0.2<b>Dataset URL:</b> s3://janelia-cosem-datasets/jrc_macrophage-2/jrc_macrophage-2.zarr/recon-1/em/<b>Visualization Website:</b> https://openorganelle.janelia.org/datasets/jrc_macrophage-2<br><br><b>Publication</b>: Xu et al., 2021; Heinrich et al., 2021<br>
DOI: 10.7910/dvn/cezhcj
title: Registrations in the AEA RCT Registry (2013-05-15 through 2025-06-01)

description: This dataset contains publicly available data on the American Economic Association's RCT registry downloaded 2025-06-01
DOI: 10.15468/dl.nha5xj
title: Occurrence Download

description: A dataset containing 5647255 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 5647255 records from 1156 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012932-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.20348/storedb/1205/1320
title: DOI-Acute ESD_Class_ForConsultation-April2025.xlsx
DOI: 10.15468/dl.rtv7tv
title: Occurrence Download

description: A dataset containing 1788 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Sphyrna tiburo (Linnaeus, 1758)"
 ]
}

 The dataset includes 1788 records from 100 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001050-250424135625364/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xm8wm4
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024526-250811113504898/datasets/export for details.
DOI: 10.15468/dl.2e63hb
title: Occurrence Download

description: A dataset containing 79 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lysimachia arvensis",
 "Country is Colombia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 79 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024525-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e5bg68
title: Occurrence Download

description: A dataset containing 2091 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lysimachia arvensis",
 "Country is Denmark",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2091 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024527-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aapb9y
title: Occurrence Download

description: A dataset containing 2277 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cornus sericea",
 "Country is Germany",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2277 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049135-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mgu7ee
title: Occurrence Download

description: A dataset containing 933 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rana temporaria",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Geometry POLYGON ((-6.6 29.26705, -6.6 50.94, 40.81373 50.94, 40.81373 29.26705, -6.6 29.26705))",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Observation, Material sample)"
 ]
}

 The dataset includes 933 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049069-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c48fvc
title: Occurrence Download

description: A dataset containing 143110 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Carex pendula"
 ]
}

 The dataset includes 143110 records from 1218 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049041-250811113504898/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.29115149.v1
title: <b>Global Synthesis of Fertilisation-Induced Changes in the Microbial Entombing Effect</b>

description: We conducted a global meta-analysis to evaluate the impact of fertilisation practices on the microbial entombing effect, focusing on microbial necromass C (MNC), microbial biomass C (MBC), and the microbial necromass accumulation coefficient (NAC=MNC/MBC) across 319, 1665, and 199 paired datasets, respectively.
DOI: 10.5281/zenodo.15547239
title: Dataset_csv_MLiA-CLAM

description: Dataset csv dataset completo con cartelle
DOI: 10.5281/zenodo.15547240
title: Dataset_csv_MLiA-CLAM

description: Dataset csv dataset completo con cartelle
DOI: 10.5281/zenodo.15547134
title: Temperature effects on reproductive and life-history traits in Drosophila: a systematic map

description: List of published studies that examined the effects of temperature on diverse fitness-related traits in Drosophila species. It focuses on six main reproductive traits: fertility, fecundity, mating traits, egg hatching, gamete traits, and gonad traits; and four key life-history traits: longevity, mortality, viability, and development time.
DOI: 10.15468/dl.yn4m3r
title: Occurrence Download

description: A dataset containing 54 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((-73.57899999999999 4.017165, -73.649434 4.011595, -73.718132 3.995023, -73.78339800000001 3.967858, -73.843625 3.93077, -73.897327 3.884672, -73.943183 3.830702, -73.980064 3.77019, -74.007062 3.704626, -74.023516 3.635626, -74.029023 3.56489, -74.023448 3.494158, -74.006933 3.425174, -73.97988599999999 3.359634, -73.94297400000001 3.299152, -73.89710700000001 3.245215, -73.843416 3.199151, -73.78322 3.162092, -73.718003 3.134951, -73.649367 3.118395, -73.57899999999999 3.112831, -73.508633 3.118395, -73.43999700000001 3.134951, -73.37478 3.162092, -73.314584 3.199151, -73.260893 3.245215, -73.21502599999999 3.299152, -73.17811399999999 3.359634, -73.151067 3.425174, -73.134552 3.494158, -73.12897700000001 3.56489, -73.134484 3.635626, -73.150938 3.704626, -73.177936 3.77019, -73.214817 3.830702, -73.260673 3.884672, -73.314375 3.93077, -73.374602 3.967858, -73.439868 3.995023, -73.508566 4.011595, -73.57899999999999 4.017165))"},{"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 54 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002411-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18326106
title: Abwassersurveillance AMELAG

description: Im Datensatz "Abwassersurveillance AMELAG" des Robert Koch-Instituts und Umweltbundesamts werden Daten aus der Überwachung von Infektionserregern im Abwasser bereitgestellt. Die Daten zur SARS-CoV-2-Viruslast werden seit Februar 2022 in einem bundesweiten Netzwerk von Kläranlagen, Laboren und Behörden erhoben. Seitdem wurden die Daten um die Viruslast weiterer respiratorischer Viren (Influenza A/B, RSV) ergänzt. Der Datensatz enthält neben Einzelwerten der Kläranlagen auch bevölkerungsgewichtete, aggregierte Zeitreihen. Darüber hinaus werden Auswertungsskripte als Kontextmaterialien bereitgestellt.