cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.21233/fy51-aa27
title: Assiniboine River water chemistry dataset

description: Raw data for the Assiniboine River water chemistry dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/s7j6-mf97
title: ALTAKR52 pollen surface sample dataset

description: Raw data for the ALTAKR52 pollen surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/5xnf-kn12
title: WYOSU11 pollen surface sample dataset

description: Raw data for the WYOSU11 pollen surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.15468/dl.4t6hnf
title: Occurrence Download

description: A dataset containing 145 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rhamnus costata Maxim.",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2010",
 "HasCoordinate is true"
 ]
}

 The dataset includes 145 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024092-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21233/dc20-dm21
title: LDDsite84 ostracode surface sample dataset

description: Raw data for the LDDsite84 ostracode surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/eywn-xg61
title: Jigsaw Lake testate amoebae surface sample dataset

description: Raw data for the Jigsaw Lake testate amoebae surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/tkrd-1364
title: Round (SHEFLD) diatom bottom sample dataset

description: Raw data for the Round (SHEFLD) diatom bottom sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/dd03-gb21
title: Net water chemistry dataset

description: Raw data for the Net water chemistry dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/xykn-9z85
title: Useppa Island [8LL51] macroinvertebrate dataset

description: Raw data for the Useppa Island [8LL51] macroinvertebrate dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.15468/dl.e2a6zh
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is USA.5_1",
 "OccurrenceStatus is Present",
 "StartDayOfYear 117-366",
 "TaxonKey is Lasionycteris noctivagans (Le Conte, 1831)",
 "Year is 2023"
 ]
}

 The dataset includes 5 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024093-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21233/4he6-mm45
title: LDDsite1940 ostracode surface sample dataset

description: Raw data for the LDDsite1940 ostracode surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/g82j-rq10
title: Uncle Sam Peatland testate amoebae surface sample dataset

description: Raw data for the Uncle Sam Peatland testate amoebae surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/mjtw-7e25
title: Whitedeer water chemistry dataset

description: Raw data for the Whitedeer water chemistry dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/r8wa-e489
title: Lake Couchiching ostracode surface sample dataset

description: Raw data for the Lake Couchiching ostracode surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/hhfp-m555
title: Trappers Lake water chemistry dataset

description: Raw data for the Trappers Lake water chemistry dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/rm9a-ex33
title: Murderkill River diatom dataset

description: Raw data for the Murderkill River diatom dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.15468/dl.wdz6ku
title: Occurrence Download

description: A dataset containing 503 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Carpesium triste Maxim.",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2010",
 "HasCoordinate is true"
 ]
}

 The dataset includes 503 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024094-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21233/53bq-j064
title: Burris [41VT66] vertebrate fauna dataset

description: Raw data for the Burris [41VT66] vertebrate fauna dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/tc0b-5b71
title: LDDsite3906 water chemistry dataset

description: Raw data for the LDDsite3906 water chemistry dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/87e9-tq51
title: Burnt Village testate amoebae dataset

description: Raw data for the Burnt Village testate amoebae dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/3pex-9e13
title: LDDsite49 ostracode surface sample dataset

description: Raw data for the LDDsite49 ostracode surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/qc07-px82
title: Flat Lake diatom surface sample dataset

description: Raw data for the Flat Lake diatom surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/vj4r-8v71
title: Toconce pollen dataset

description: Raw data for the Toconce pollen dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/jaff-kf29
title: Changying testate amoebae surface sample dataset

description: Raw data for the Changying testate amoebae surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/6h97-sx88
title: Nanwenghe testate amoebae surface sample dataset

description: Raw data for the Nanwenghe testate amoebae surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/g8pz-cz15
title: Loon Lake water chemistry dataset

description: Raw data for the Loon Lake water chemistry dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/y0ph-pr20
title: Lake Gogebic diatom bottom sample dataset

description: Raw data for the Lake Gogebic diatom bottom sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/rg8z-nh87
title: bottom of Vale do Zêzere pollen surface sample dataset

description: Raw data for the bottom of Vale do Zêzere pollen surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/enah-ra09
title: Munson Pond pollen surface sample dataset

description: Raw data for the Munson Pond pollen surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/kcaf-qr94
title: LDDsite4923 water chemistry dataset

description: Raw data for the LDDsite4923 water chemistry dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.15468/dl.49afre
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Stegonotus admiraltiensis Ruane, Richards, Mcvay, Tjaturadi, Krey & Austin, 2017"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024095-250426092105405/datasets/export for details.
DOI: 10.21233/ydze-8d98
title: Tildys Pond diatom bottom sample dataset

description: Raw data for the Tildys Pond diatom bottom sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.15468/dl.bvy75s
title: Occurrence Download

description: A dataset containing 522 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Magnolia kobus DC.",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2010",
 "HasCoordinate is true"
 ]
}

 The dataset includes 522 records from 55 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024096-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21233/anbe-ac20
title: Pointe des Morts testate amoebae surface sample dataset

description: Raw data for the Pointe des Morts testate amoebae surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/4099-kn76
title: Stephill Bottom pollen dataset

description: Raw data for the Stephill Bottom pollen dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/6ss2-z741
title: Cooper River Lake diatom surface sample dataset

description: Raw data for the Cooper River Lake diatom surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/pn0h-tv50
title: Chamboite site 3 pollen surface sample dataset

description: Raw data for the Chamboite site 3 pollen surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/xgqq-cb98
title: Gorno-Slinkino village testate amoebae surface sample dataset

description: Raw data for the Gorno-Slinkino village testate amoebae surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/7c8f-a555
title: Bay of Quinte ostracode surface sample dataset

description: Raw data for the Bay of Quinte ostracode surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/cmss-xp80
title: Belcher Mound [16CD13] macroinvertebrate dataset

description: Raw data for the Belcher Mound [16CD13] macroinvertebrate dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.5281/zenodo.15364296
title: MiNT: Multi-Network Training for Transfer Learning on Temporal Graphs

description: Datasets provided in this storage are introduced in the paper: MiNT: Multi-Network Training forTransfer Learning 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.

There are two set of labels for two different tasks, MiNT_labels_Edge_GS is for Edge Growth or Shrink and MiNT_labels_LargeConComp_GS is for Largest Connect Component Growth or Shrink task


 
description: Temporal Graph Learning (TGL) aims to discover patterns on evolving networks or temporal graphs, and leverage such patterns to predict future interactions. However, most existing work focuses on learning from single networks in isolation, leaving the question of cross-network generalization largely unexplored. In this study, we introduce a new benchmark of 84 real-world temporal transaction networks and propose Temporal Multi-network Training (MiNT), a pre-training framework designed to capture transferable temporal dynamics across diverse networks. We train MiNT models on up to 64 transaction networks and evaluate their generalization ability on 20 held-out, unseen networks. Our results show that MiNT consistently outperforms individually trained models, revealing a strong relation between the number of pre-training networks and transfer performance. These findings highlight scaling trends in temporal graph learning and underscore the importance of network diversity in improving generalization. This work establishes the first large-scale benchmark for studying transferability in TGL and lays the groundwork for developing Temporal Graph Foundation Models. Our code is available at https://github.com/benjaminnNgo/ScalingTGNs