cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57760/sciencedb.j00210.00099
title: Transcriptome Sequencing Data of Baisha 1016 and ICGV 86699
title: Transcriptome Sequencing Data of Baisha 1016 and ICGV 86699

description: To analyze candidate genes for resistance to peanut late spot disease, a transcriptome sequencing experiment was designed in this study. At 90 days after sowing the experimental materials, the sensitive materials Baisha 1016 and ICGV86699 were inoculated with the pathogen of peanut late spot disease, and a control experiment was also set up. Collect the inverted two leaves of the main stem treated before inoculation, 1 day after inoculation, and 10 days after inoculation, with 3 biological replicates set for each period/treatment for transcriptome sequencing. The sample naming rule is: material code+period+treatment+repetition. For example, P1_0d_1 represents a repeated sample taken before treatment with Baisha 1016, P2_1d_In_1 represents a repeated sample taken after 1 day of ICGV86699 inoculation treatment, P2_1d_CK_1 represents a repeated sample taken after 1 day of ICGV86699 simulated inoculation (control) treatment, and so on. 
description: To analyze candidate genes for resistance to peanut late spot disease, a transcriptome sequencing experiment was designed in this study. At 90 days after sowing the experimental materials, the sensitive materials Baisha 1016 and ICGV86699 were inoculated with the pathogen of peanut late spot disease, and a control experiment was also set up. Collect the inverted two leaves of the main stem treated before inoculation, 1 day after inoculation, and 10 days after inoculation, with 3 biological replicates set for each period/treatment for transcriptome sequencing. The sample naming rule is: material code+period+treatment+repetition. For example, P1_0d_1 represents a repeated sample taken before treatment with Baisha 1016, P2_1d_In_1 represents a repeated sample taken after 1 day of ICGV86699 inoculation treatment, P2_1d_CK_1 represents a repeated sample taken after 1 day of ICGV86699 simulated inoculation (control) treatment, and so on.
DOI: 10.17026/ss/aluy8i
title: Archieven Bewonersorganisaties Rotterdam, Inventarissen

description: Tussen 1970 en 2000 waren bewonersorganisaties zeer actief in de Rotterdamse oude wijken rond het centrum. Zij waren invloedrijk zowel sociaal en cultureel als fysiek, met name bij de stadsvernieuwing die in die periode werd aangevat. De archieven van die bewonersorganisatie zijn een rijke bron voor de geschiedenis van de wijken en van Rotterdam in dat tijdsbestek.
Historicus en cartograaf Jan van den Noort drong er bij het Stadsarchief op aan om de, naar schatting, 900 meter archief te verwerven en te inventariseren. Het Stadsarchief onderschreef die gedachte, maar zag op tegen de kosten van zo'n project. Van den Noort bood aan om de archieven op een innovatieve manier te inventariseren en daarmee aanzienlijk op de kosten te besparen.
Hij beschreef die aanpak later in 'Creatieve alternatieven voor de vertrouwde methodes van gisteren', Archievenblad 104 (december 2000) 10, 32-35 en evalueerde die in 'Iedere maand een meter, Kwaliteit en kwetsbaarheid van de Rotterdamse stadsvernieuwingsarchieven (Rotterdam 1997-2000, opzet en evaluaties)' (zie https://www.jvdn.nl/pages/publicaties.html).
Van doorslaggevende betekenis was dat hij de wethouder Stadsvernieuwing en de directeur Stadsontwikkeling wist te overtuigen van het belang van die archieven en de noodzaak om financieel bij te springen.
Het project werd binnen de gestelde marges van tijd en financiën afgerond. De inventarissen zijn raadpleegbaar op https://www.jvdn.nl/pages/bewonersorganisaties.html (de website van Van den Noort). Die website heeft een beperkte horizon. Uiteraard kunnen de inventarissen het beste via de website van het Stadsarchief worden ontsloten, maar overleg daarover heeft nog niet tot het gewenste resultaat geleid. Om de toegang tot de inventarissen en dus tot de archieven veilig te stellen worden deze aangeboden via DANS.
DOI: 10.57841/casdc.0006982
title: 超高场双核成像数据集
DOI: 10.5281/zenodo.18323402
title: All the experimental validation data for the manuscript "Spatial transcriptomics elucidates the central role of cerebral vasculatures in the progression of Japanese encephalitis"

description: This file contains all relevant experimental raw data for the manuscript titled “Spatial transcriptomics elucidates the central role of cerebral vasculatures in the progression of Japanese encephalitis” , with clear labels corresponding to each specific figure and panel.
DOI: 10.57841/casdc.0006983
title: 铁基超导前驱粉室温磁性
DOI: 10.15468/dl.r55pft
title: Occurrence Download

description: A dataset containing 500 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((117.868 5.734143, 117.797387 5.728572, 117.728516 5.711998, 117.663087 5.684828, 117.602714 5.647734, 117.548885 5.60163, 117.502927 5.547655, 117.465968 5.487138, 117.438919 5.421571, 117.422442 5.352571, 117.41694 5.281836, 117.422543 5.21111, 117.439111 5.142132, 117.466233 5.076601, 117.503237 5.016129, 117.549212 4.962202, 117.603025 4.916149, 117.663352 4.879099, 117.728708 4.851965, 117.797488 4.835413, 117.868 4.829851, 117.938512 4.835413, 118.007292 4.851965, 118.072648 4.879099, 118.132975 4.916149, 118.186788 4.962202, 118.232763 5.016129, 118.269767 5.076601, 118.296889 5.142132, 118.313457 5.21111, 118.31906 5.281836, 118.313558 5.352571, 118.297081 5.421571, 118.270032 5.487138, 118.233073 5.547655, 118.187115 5.60163, 118.133286 5.647734, 118.072913 5.684828, 118.007484 5.711998, 117.938613 5.728572, 117.868 5.734143))"},{"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 500 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002074-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2yuc2d
title: Occurrence Download

description: A dataset containing 47 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Bolboschoenus maritimus affinis",
 "Year 1960-2010"
 ]
}

 The dataset includes 47 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002073-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.khas3j
title: Occurrence Download

description: A dataset containing 29989 records in GBIF matching the query:
SELECT
 '6' AS fish_cell,
 GBIF_MGRSCode(1000, decimalLatitude, decimalLongitude, 0) AS cell, -- NO randomization
 COUNT(DISTINCT speciesKey) AS species_richness
 FROM occurrence
 WHERE hasCoordinate = TRUE
 AND speciesKey IS NOT NULL
 AND NOT ARRAY_CONTAINS(issue, 'ZERO_COORDINATE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_OUT_OF_RANGE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_INVALID')
 AND NOT ARRAY_CONTAINS(issue, 'COUNTRY_COORDINATE_MISMATCH')
 AND decimalLatitude &gt;= -41.89415215079384
 AND decimalLatitude &lt;= -37.42857426825602
 AND decimalLongitude &gt;= -77.9229717807129
 AND decimalLongitude &lt;= -69.0769461528656
 AND "year" &gt;= 2015
 AND "year" &lt;= 2026
 AND (coordinateUncertaintyInMeters &lt;= 100 OR coordinateUncertaintyInMeters IS NULL)
 GROUP BY fish_cell, cell

 The dataset's 29989 records were derived from 162 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002066-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jqkccq
title: Occurrence Download

description: A dataset containing 585 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Gymnoscopelus bolini Andriashev, 1962",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 585 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003826-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5462zs
title: Occurrence Download

description: A dataset containing 1039 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Himantura uarnak (Gmelin, 1789)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1039 records from 57 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003822-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s6nx7z
title: Occurrence Download

description: A dataset containing 1866 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Alouatta caraya (Humboldt, 1812)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1866 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003824-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kb2r74
title: Occurrence Download

description: A dataset containing 689 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "TaxonKey is one of (Lithobates capito (LeConte, 1855))"
 ]
}

 The dataset includes 689 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003823-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15471133
title: Crypto Perpetual Futures Dataset Collection by Akhil Kishore
title: Crypto Perpetual Futures Dataset Collection

description: Crypto Perpetual Futures Dataset Collection

This repository contains a collection of JSON files, each representing the dataset for a specific **crypto perpetual futures** contract. These datasets are intended for research, academic exploration, and documentation of the evolving state of cryptocurrency derivatives markets. Each file captures a snapshot of real-time and historical metrics related to perpetual futures contracts.

Each JSON file is named after the trading pair symbol (e.g., `BTCUSD.json`, `ETHUSD.json`, `XRPUSD.json`) and represents market data for a specific perpetual futures contract.

## 🧪 Sample JSON

```json{  "close": 2.149,  "description": "Ripple Perpetual",  "funding_rate": "0.01",  "high": 2.4943,  "low": 2.012,  "mark_basis": "0.23065628",  "mark_change_24h": "-13.4080",  "mark_price": "2.14843179",  "oi": "796897.0000",  "oi_change_usd_6h": "380401.5500",  "oi_contracts": "796897",  "oi_value": "796897.0000",  "oi_value_symbol": "XRP",  "oi_value_usd": "1712133.2045",  "open": 2.4709,  "price_band": {    "lower_limit": "2.0978375",    "upper_limit": "2.20541891"  },  "size": 21625380,  "spot_price": "2.1481",  "symbol": "XRPUSD",  "tick_size": "0.000100000000000000",  "timestamp": 1733805657114918,  "turnover_symbol": "USD",  "turnover_usd": 50768524.49697325,  "volume": 21625380}```

> **Disclaimer:** This dataset is for **private research and educational analysis only**. Commercial use, redistribution, or repackaging is strictly prohibited.
DOI: 10.5281/zenodo.15471134
title: Crypto Perpetual Futures Dataset Collection by Akhil Kishore
title: Crypto Perpetual Futures Dataset Collection

description: Crypto Perpetual Futures Dataset Collection

This repository contains a collection of JSON files, each representing the dataset for a specific **crypto perpetual futures** contract. These datasets are intended for research, academic exploration, and documentation of the evolving state of cryptocurrency derivatives markets. Each file captures a snapshot of real-time and historical metrics related to perpetual futures contracts.

Each JSON file is named after the trading pair symbol (e.g., `BTCUSD.json`, `ETHUSD.json`, `XRPUSD.json`) and represents market data for a specific perpetual futures contract.

## 🧪 Sample JSON

```json{  "close": 2.149,  "description": "Ripple Perpetual",  "funding_rate": "0.01",  "high": 2.4943,  "low": 2.012,  "mark_basis": "0.23065628",  "mark_change_24h": "-13.4080",  "mark_price": "2.14843179",  "oi": "796897.0000",  "oi_change_usd_6h": "380401.5500",  "oi_contracts": "796897",  "oi_value": "796897.0000",  "oi_value_symbol": "XRP",  "oi_value_usd": "1712133.2045",  "open": 2.4709,  "price_band": {    "lower_limit": "2.0978375",    "upper_limit": "2.20541891"  },  "size": 21625380,  "spot_price": "2.1481",  "symbol": "XRPUSD",  "tick_size": "0.000100000000000000",  "timestamp": 1733805657114918,  "turnover_symbol": "USD",  "turnover_usd": 50768524.49697325,  "volume": 21625380}```

> **Disclaimer:** This dataset is for **private research and educational analysis only**. Commercial use, redistribution, or repackaging is strictly prohibited.
DOI: 10.15468/j8hz95
title: Los Angeles Urban Ocean Expedition 2019

description: In 2019 (late August to early September), the Natural History Museum of Los Angeles County led a two-week expedition to the urban ocean waters of the Los Angeles region to improve our knowledge of Southern California marine biodiversity. This program brought together the best taxonomists and local collectors in an internationally recognized, intensive methodology to collect, live-identify, curate, and DNA barcode as many species as possible.

The pop-up marine science lab at AltaSea processed fresh samples from research ships and live specimens from SCUBA divers. A team of leading taxonomists assembled for the event sorted, identified, and sampled specimens for genetic analysis, all day, every day.
This also was a wonderful opportunity for the public to take a peek into a major marine research program being carried out at the coast of a major urban center.

The Los Angeles Urban Ocean Expedition was a program of the Marine Biodiversity Center at the Natural History Museum.
DOI: 10.5281/zenodo.17488439
title: GNPS Ion Mobility Library 1

description: This library contains MS/MS spectra collected from multiplexed mixtures including combinatorial synthesis reaction mixtures or crude mixtures of drugs, bile acids, and other small molecules. The compound name includes the experimental collision cross section (CCS) values for annotated molecules. Data was collected on a timsTOF Pro 2 in positive ESI mode. Feature extraction and annotations were processed in Metaboscape 2025b. The spectral library was created by Victoria Deleray videleray@ucsd.edu in the Dorrestein Lab at the University of California, San Diego.
DOI: 10.5281/zenodo.17676464
title: GNPS Ion Mobility Library 1

description: This library contains MS/MS spectra collected from multiplexed mixtures including combinatorial synthesis reaction mixtures or crude mixtures of drugs, bile acids, and other small molecules. The compound name includes the experimental collision cross section (CCS) values for annotated molecules. Data was collected on a timsTOF Pro 2 in positive ESI mode. Feature extraction and annotations were processed in Metaboscape 2025b. The spectral library was created by Victoria Deleray videleray@ucsd.edu in the Dorrestein Lab at the University of California, San Diego.
DOI: 10.5281/zenodo.17488412
title: GNPS REFRAME DRUG CCS LIBRARY

description: This library contains MS/MS spectra collected from mixtures of drug compounds from the Reframe drug library (https://reframedb.org/). The compound name includes the mean collision cross section (CCS) values from triplicate acquisition, and COV <2%. Data was collected on a timsTOF Pro 2 in positive ESI mode at 20eV and 40eV CE. Feature extraction and annotations were processed in Metaboscape 2025b. These annotations have been filtered for an MSMS score >200. The spectral library was created by Victoria Deleray videleray@ucsd.edu in the Dorrestein Lab at the University of California, San Diego.
DOI: 10.5281/zenodo.17676480
title: GNPS REFRAME DRUG CCS LIBRARY

description: This library contains MS/MS spectra collected from mixtures of drug compounds from the Reframe drug library (https://reframedb.org/). The compound name includes the mean collision cross section (CCS) values from triplicate acquisition, and COV <2%. Data was collected on a timsTOF Pro 2 in positive ESI mode at 20eV and 40eV CE. Feature extraction and annotations were processed in Metaboscape 2025b. These annotations have been filtered for an MSMS score >200. The spectral library was created by Victoria Deleray videleray@ucsd.edu in the Dorrestein Lab at the University of California, San Diego.
DOI: 10.15468/dl.kgn3n7
title: Occurrence Download

description: A dataset containing 1109394 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Belgium, Germany, Netherlands)",
 "TaxonKey is one of (Ondatra zibethicus, Myocastor coypus)",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 1109394 records from 79 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002974-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/13822359
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.q3e8j9
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dimeragrion baniwa",
 "DecimalLongitude is not null",
 "DecimalLatitude is not null"
 ]
}

 The dataset includes 7 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002989-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mxuvtd
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Psaironeura jeronimoi",
 "DecimalLongitude is not null",
 "DecimalLatitude is not null"
 ]
}

 The dataset includes 6 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002990-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rt8czu
title: Occurrence Download

description: A dataset containing 1222 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Araucaria araucana",
 "Country is Chile",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 1222 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002991-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15482/usda.adc/25114670
title: Weighing Lysimeter Data for The Bushland, Texas, Cotton Datasets

description: This dataset consists of weighing lysimeter data for upland cotton [<i>Gossypium hirsutum</i> (L.)] grown for lint and seed at the USDA-ARS Conservation and Production Research Laboratory (CPRL), Soil and Water Management Research Unit (SWMRU), Bushland, Texas (Lat. 35.186714°, Long. -102.094189°, elevation 1170 m above MSL) in 2000 through 2004, 2008, 2010, 2012, 2020, and 2021 on from one to four large, precision weighing lysimeters, each in the center of a 4.44 ha square field similarly cropped. In 2019, cotton was grown on four large, precision weighing lysimeters, each in the center of a 4.4-ha square field. The weighing lysimeters were used to measure mass, which was converted to relative soil water storage with 0.05 mm accuracy at 5-minute intervals, and the 5-minute change in soil water storage was used along with precipitation and irrigation amounts to calculate crop evapotranspiration (ET), which is reported at 15-minute intervals. Although a quality control process was used, the ET data in this dataset are considered raw data. Advanced algorithms for detection of precipitation, dew and frost were applied in a separate process to determine ET values that are reported in files in a dataset entitled "Evapotranspiration and Water Balance Data for The Bushland, Texas Cotton Datasets". Those files have "water-balance" in their names. Each lysimeter was equipped with a suite of instruments to sense wind speed, air temperature and relative humidity, components of the radiation balance (e.g., net radiation, incoming and reflected shortwave, photosynthetically active radiation (PAR), incoming and reflected longwave, thermal infrared emitted by the plant/soil surface), soil heat flux, soil temperature, and soil volumetric water content at certain depths. Not all properties were always sensed in any one year; and instruments used changed from season to season, which are reasons that subsidiary datasets and data dictionaries for each season are required.<br>These datasets originate from research aimed at determining crop water use (ET), crop coefficients for use in ET-based irrigation scheduling based on a reference ET, crop growth, yield, harvest index, and crop water productivity as affected by irrigation method, timing, amount (full or some degree of deficit), lack of irrigation (dryland production), agronomic practices, cultivar, and weather. Prior publications have focused on cotton ET, crop coefficients, crop water productivity, and simulation modeling of crop growth, water use, and yield. Crop coefficients have been used by ET networks. The data have utility for testing simulation models of crop ET, growth, and yield and have been used by both USDA and university researchers.<br>See the README file (README_Bushland_Cotton_Lys.txt) for descriptions of each data file. Descriptions are different for each year because experimental protocols changed yearly.