cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5066/f78050s9
title: Tool-use frequency by individual sea otters in California

description: Sea otters are well-known tool users, employing objects such as rocks or shells to break open invertebrate prey. We used a series of generalized linear mixed effect models (GLMEs) to examine observational data on prey capture and tool use from 211 tagged individuals from five geographically defined study areas throughout the sea otters range in California. Our best supported model was able to explain 75% of the variation in the frequency of tool-use by individual sea otters with only ecological and demographic variables. In one study area, where sea otter food resources were abundant, all individuals had similar diets focusing on preferred prey items and used tools at low to moderate frequencies (4-38% of prey captures). In the remaining areas, where sea otters were food-limited, individuals specialized on different subsets of the available prey and had a wider range of average tool-use frequency (0-98% of prey captures). The prevalence of difficult-to-access prey in individual diets was a major predictor of tool use, and increased the likelihood of using tools on prey that were not difficult to access as well. Age, sex, and feeding habitat also contributed to the probability of tool use, but to a smaller extent. We developed a conceptual model illustrating how food abundance, the prevalence of difficult-to-access prey, and individual diet specialization interacted to determine the likelihood that individual sea otters would use tools and considered the models relevance to other tool-using species. 

The dataset is an excel spreadsheet of tool-use frequency based on observed foraging behaviors of tagged sea otters in California. Foraging data was collected opportunistically on each individual over time (typically 1-3 years). For each successful foraging dive, observers recorded the type of habitat the sea otter was using, the prey type consumed, and whether a tool use used to open the prey item. These observations are summarized as the percent prey captures with tool-use observed for each grouping of prey type, habitat type, and individual sea otter. Dataset also includes the age, sex, and general location of each individual.
DOI: 10.15468/dl.82nv3d
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Paraphyllina ransoni Russell, 1956)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 6 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073813-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m4xese
title: Occurrence Download

description: A dataset containing 11274956 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Living Specimen, Occurrence evidence)",
 "Geometry POLYGON((-71.13827 12.35011,-62.41791 11.10434,-61.38693 11.70575,-61.08622 12.52194,-60.69961 15.1853,-61.42988 16.73177,-63.01931 17.59092,-65.33901 18.19232,-66.45591 18.19232,-68.60378 18.57894,-70.27912 18.6219,-71.52489 18.02049,-71.86855 18.49302,-72.85657 19.78175,-75.82063 20.16836,-76.59387 20.76977,-78.31216 21.62892,-79.25723 21.88666,-81.1044 22.6599,-82.04946 23.04651,-83.20931 22.61694,-84.66987 21.97258,-87.07548 21.28526,-88.02055 19.43809,-88.57899 18.49302,-88.45012 17.505,-88.70787 16.38811,-89.1804 15.70079,-88.40716 15.57192,-87.37619 15.61487,-85.70085 15.74375,-84.75578 15.70079,-84.24029 15.52896,-83.46706 14.36911,-83.7248 13.38109,-83.81072 12.30715,-84.06846 11.1473,-83.08044 9.94449,-82.26425 8.95647,-81.19031 8.61281,-80.50299 8.95647,-79.51497 9.429,-78.91357 9.34309,-77.58189 8.61281,-76.67978 7.92549,-76.42204 8.61281,-75.3481 9.429,-75.09035 10.50294,-74.31712 10.58885,-72.68474 11.40504,-71.13827 12.35011))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Issue is Continent derived from coordinates",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves"
 ]
}

 The dataset includes 11274956 records from 134 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073793-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.urnwxs
title: Occurrence Download

description: A dataset containing 24347 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Aurelia aurita (Linnaeus, 1758))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 24347 records from 222 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073814-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7djayf
title: Occurrence Download

description: A dataset containing 21 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-59.95895 17.60009,-94.07518 -8.8211,-83.93252 -42.67522,-43.97657 -42.90078,-29.53096 -10.3364,-59.95895 17.60009))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Tolypeutes tricinctus (Linnaeus, 1758)",
 "Year 1899-2024"
 ]
}

 The dataset includes 21 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073815-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3tn56m
title: Occurrence Download

description: A dataset containing 48 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is United States of America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Amelichloa brachychaeta (Godr.) Arriaga & Barkworth"
 ]
}

 The dataset includes 48 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073816-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5066/f79022pz
title: Cover of Woody and Herbaceous Functional Groups in Burned and Unburned Plots, Mojave Desert, 2009-2013

description: Arid ecosystems are often vulnerable to transformation to invasive-dominated states following fire, but data on persistence of these states are sparse. The grass/fire cycle is a feedback process between invasive annual grasses and fire frequency that often leads to the formation of alternative vegetation states dominated by the invasive grasses. However, other components of fire regimes, such as burn severity, also have the potential to produce long-term vegetation transformations. Our goal was to evaluate the influence of both fire frequency and burn severity on the transformation of woody-dominated communities to communities dominated by invasive grasses in major elevation zones of the Mojave Desert of western North America.

We used a chronosequence design to collect data on herbaceous and woody cover at 229 unburned reference plots and 578 plots that burned between 1972 and 2010. We stratified the plots by elevation zone (low, mid, high), fire frequency (1 to 3 times), and years postfire (YPF; 1 - 5, 6 - 10, 11 - 20, and 21 - 40 YPF). Burn severity for each plot was estimated by the difference normalized burn ratio (dNBR). A Geographic Positioning System (GPS) was used to match the plots as closely as possible with the corner of a dNBR pixel. Each plot was 0.1 ha (32 m x 32 m) and contained three randomly positioned 25-m transects. Point intercept sampling was conducted at 0.5 m intervals along each transect (N = 50 points per transect, 150 points per plot). All plants intercepted by a wooden rod (1mm diameter) were recorded to species at each point. Species cover in each plot was estimated as the sum of point intercepts for each species divided by 150. 

These data support the following publication:
Klinger, R. and Brooks, M., 2017. Alternative pathways to landscape transformation: invasive grasses, burn severity and fire frequency in arid ecosystems. Journal of Ecology, 105(6), pp.1521-1533.
DOI: 10.15468/dl.vzzpnx
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Anomalorhiza shawi Light, 1921)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 9 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073817-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5066/f7c24thw
title: Golden Eagle Food Habits in the Mojave Desert: Regional information for a changing landscape.

description: Expansion of renewable energy development is rapidly transforming the Mojave Desert landscape and has the potential to impact Golden Eagles through loss of foraging habitat and reduced prey base. Regional information on Golden Eagle food habits is limited and little is known of how dietary variability influences eagle productivity. We examined diet using motion activated trail cameras and collection of prey remains at 18 nests during two seasons (2014 and 2015). As well as Golden Eagle prey abundance spotlight line transects conducted and data collected throughout the Mojave Desert Ecoregion in 2014 and 2015. The 138 spotlight line transects conducted in 2014 were a uniform 5 km in length, while the 45 spotlight line transects in 2015 were variable lengths but generally in the range 15- 20 km in length. Species observations include distance into spotlight line transect (Odometer readings) and NAD83 UTM zone 11S easting/northing coordinates, and distance from the spotlight line transect center. Data also included are general weather at time of spotlight line transects i.e. temperature and wind speed, spotlight line transect start and end times, NAD83 UTM zone 11S coordinates for spotlight line transect starting and ending locations.

This data is detailed in 6 tables:
USGS Camera Data
USGS Prey Remains
USGS Spotlight Transect Data 2014
USGS Spotlight Transect Data 2015
USGS Transect Locations 2014
USGS Transect Locations 2015

These data support the following report:
Longshore, K. M.; T.C. Esque; K.E. Nussear; Diego Johnson; Matthew Simes; R.D. Inman,. U. S. Geological Survey. 2015. An Assessment of Food Habits, Prey Availability, and Nesting Success of Golden Eagles Within the Desert Renewable Energy Conservation Plan Area. California Energy Commission. Publication number: CEC-500-2017-003.
DOI: 10.15468/dl.hpb5m4
title: Occurrence Download

description: A dataset containing 531 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Phyllorhiza punctata von Lendenfeld, 1884)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 531 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073818-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rjxdqv
title: Occurrence Download

description: A dataset containing 82 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Juvenile scalloped hammerhead sharks in the Rewa River estuary, Viti Levu, Fiji 2012"
 ]
}

 The dataset includes 82 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073819-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3dr52n
title: Occurrence Download

description: A dataset containing 94 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Alsophila oinops (Hassk.) R.M.Tryon"
 ]
}

 The dataset includes 94 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073820-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.htb564
title: Occurrence Download

description: A dataset containing 848 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Surveys of juvenile scalloped hammerhead sharks in the Rewa Delta, Fiji (2014-2015)"
 ]
}

 The dataset includes 848 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073822-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6069/uwlib.55.d.5
title: Newspaper Genre List

description: Terms used to designate genres of newspapers.
DOI: 10.15468/dl.kabnk7
title: Occurrence Download

description: A dataset containing 163 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Alsophila orientalis (Kunze) R.M.Tryon"
 ]
}

 The dataset includes 163 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073824-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t7e5me
title: Occurrence Download

description: A dataset containing 728 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-60.5232 20.30323,-96.79415 -4.80689,-88.13858 -44.46013,-44.86074 -42.9707,-27.96178 -6.03784,-60.5232 20.30323))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Chrysocyon brachyurus (Illiger, 1815)",
 "Year 1899-2024"
 ]
}

 The dataset includes 728 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073825-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8sr3rd
title: Occurrence Download

description: A dataset containing 77304 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Hippocrepis emerus (L.) Lassen)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 77304 records from 541 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073807-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rpzyya
title: Occurrence Download

description: A dataset containing 6628463 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "TaxonKey is Mammalia"
 ]
}

 The dataset includes 6628463 records from 638 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073823-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aoqh6i
title: Occurrence Download

description: A dataset containing 1489689347 species occurrences available in GBIF matching the query:
{ }

 The dataset includes 1489689347 records from 17816 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000956-170925132151566/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5naqk3
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Alocasia macrorrhizos",
 "Country is Cuba",
 "HasCoordinate is true"
 ]
}

 The dataset includes 6 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0080222-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16636958
title: Royal Guard Stack for Grant Applications

description:  Executive Summary

The Royal Guard Stack is an open-source, multi-layered suite of AI-powered tools and protocols, crafted to supercharge your grant applications with clarity, rigor, emotional resonance, and trust. Each “Guard” is modeled after a proven communication or reasoning framework—together, they help applicants build, review, and bulletproof proposals for any grant scenario.
DOI: 10.5281/zenodo.16636959
title: Royal Guard Stack for Grant Applications

description:  Executive Summary

The Royal Guard Stack is an open-source, multi-layered suite of AI-powered tools and protocols, crafted to supercharge your grant applications with clarity, rigor, emotional resonance, and trust. Each “Guard” is modeled after a proven communication or reasoning framework—together, they help applicants build, review, and bulletproof proposals for any grant scenario.
DOI: 10.5281/zenodo.11640712
title: To Trust or Not to Trust: Towards a novel approach to measure trust for XAI systems
title: User results for the case study

description: Experimental data from unpublished work To Trust or Not to Trust: Towards a novel approach to measure trust for XAI systems
DOI: 10.15468/dl.xnnkao
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070925-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.11640711
title: To Trust or Not to Trust: Towards a novel approach to measure trust for XAI systems
title: User results for the case study

description: Experimental data from unpublished work To Trust or Not to Trust: Towards a novel approach to measure trust for XAI systems
DOI: 10.5281/zenodo.11455827
title: Towards Neural Scaling Laws for Foundation Models on Temporal Graphs

description: Datasets provided in this storage are introduced in the paper: Towards Neural Scaling Laws for Foundation Models on Temporal Graphs



Each .csv file represents all transactions of the token network that has the same name as the file name (<tokenname.csv>)

Each transaction corresponds to a row in each file.

Each transaction has:



 blockNumber :  is the block ID of Ethereum that includes this transaction

timestamp: time that the transaction is made in UNIX timestamp format

tokenAddress : the address that specifies a unique ERC20 token

from: address of sender

to: address of receiver

value: the amount the transaction

fileBlock: we split the whole number of blocks count to 35 buckets and assigned the bucket ID to the transaction to trace the blocks 



To use the same setting as described in the papers, we include edge list and label that contain node interactions and labels for each snapshot in each token network.



Each transaction in the edge list also has "from","to" and "amount" fields, but with an additional "snapshot" field to indicate the index of the snapshot that the transaction below to

Each row in label file indicates the ground truth label of the snapshot having an index corresponding to the index of the row (e.g first row indicates the label of the first snapshot)

We provided the way to generate edge lists and label files in the following Github repository: https://github.com/benjaminnNgo/ScalingTGNs/blob/main/script/utils/TGS.py



However, we also provide raw .csv  to divide into generate edgeslist and label with a different setting.
description: The field of temporal graph learning aims to learn from evolving network data to forecast future interactions. Given a collection of observed temporal graphs, is it possible to predict the evolution of an unseen network from the same domain?To answer this question, we first present the Temporal Graph Scaling(TGS) dataset, a large collection of temporal graphs, consisting of eighty-four ERC20 token transaction networks collected from 2017 to 2023. Next, we evaluate the transferability of Temporal Graph Neural Networks(TGNNs) for the temporal graph property prediction task by pre-training on a collection of up to sixty-four token transaction networks and then evaluate their downstream performance on twenty unseen token types. We observe that the neural scaling law observed in NLP and Computer Vision also applies in temporal graph learning where pre-training on more networks and more parameters leads to better downstream performance. To the best of our knowledge, this is the first time that the transferability of temporal graphs has been shown empirically. Notably, on the downstream token networks, the largest pre-trained model outperforms fine-tuned TGNNs on thirteen unseen test networks. Therefore, we believe this is a promising first step towards building foundation models for temporal graphs. The code and datasets are publicly available at https://github.com/benjaminnNgo/ScalingTGNs under MIT licence.